Academic literature on the topic 'IoT industriel'
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Journal articles on the topic "IoT industriel"
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Dangat, Prof M. T. "Industrial Internet of Things (IIOT)." International Journal for Research in Applied Science and Engineering Technology 12, no. 3 (March 31, 2024): 2721–26. http://dx.doi.org/10.22214/ijraset.2024.59103.
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Abstract: Industrial Internet of Things (IOT) is a part of IOT (Internet of Things) technology that has provided an opportunity to build powerful industrial system and applications by using different I0T devices like sensors, actuators, Resistance Temperature Detectors, pH analyzers, Level Transmitters, RFIDs, wireless and mobile devices. High-speed internet has given a new hike in development of IOT devices, as it makes remote access facility at ease. Various IOT applications and systems have been developed and deployed in recent years. To understand the development of IOТ technology, this study addresses IIOT concepts through a systematic review of various white papers, research papers and online database.Abstract: Industrial Internet of Things (IOT) is a part of IOT (Internet of Things) technology that has provided an opportunity to build powerful industrial system and applications by using different I0T devices like sensors, actuators, Resistance Temperature Detectors, pH analyzers, Level Transmitters, RFIDs, wireless and mobile devices. High-speed internet has given a new hike in development of IOT devices, as it makes remote access facility at ease. Various IOT applications and systems have been developed and deployed in recent years. To understand the development of IOТ technology, this study addresses IIOT concepts through a systematic review of various white papers, research papers and online database.
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Madugula, Lavanya. "Applications of IoT in Manufacturing: Issues and Challenges." Journal of Advanced Research in Embedded System 8, no. 1&2 (July 29, 2021): 3–7. http://dx.doi.org/10.24321/2395.3802.202101.
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The Internet of Things (IoT) is the global network of inter-related physical devices such as sensors, objects, computing devices, mechanical instruments, smart applications and human resources that are becoming an essential part of the internet. These devices are the sources of data which provide abundant information in manufacturing processes. In an industrial environment, the Industrial Internet of Things (IIoT) plays a pivotal role in manufacturing. IIoT is the transformation of manufacturing process by making the industries more efficient, productive, and smarter. In order to survive, withstand in the market place and gain competitive advantage, the manufacturers are initiating to leverage IIoT technologies and data analytics. With globalization, global competitive pressures are challenging industries and manufacturing companies to manage the gaps in the workforce skills, drive out inefficiencies from the existing systems and enhance their business opportunities. The world is plunging into an era of data inter-connectivity and companies are able to enhance their production after adapting new technologies. In this context, this paper provides an understanding of the concept of IIoT and smart manufacturing. Further, the paper discusses in detail the issues concerning different applications of IoT in the industrial sector; and presents the challenges encountered in an IoT-based Industrial Data Management System (IDMS), which can manage the huge industrial data, support online monitoring and control smart manufacturing.
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Farooq, Muhammad Shoaib, Muhammad Abdullah, Shamyla Riaz, Atif Alvi, Furqan Rustam, Miguel Angel López Flores, Juan Castanedo Galán, Md Abdus Samad, and Imran Ashraf. "A Survey on the Role of Industrial IoT in Manufacturing for Implementation of Smart Industry." Sensors 23, no. 21 (November 3, 2023): 8958. http://dx.doi.org/10.3390/s23218958.
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The Internet of Things (IoT) is an innovative technology that presents effective and attractive solutions to revolutionize various domains. Numerous solutions based on the IoT have been designed to automate industries, manufacturing units, and production houses to mitigate human involvement in hazardous operations. Owing to the large number of publications in the IoT paradigm, in particular those focusing on industrial IoT (IIoT), a comprehensive survey is significantly important to provide insights into recent developments. This survey presents the workings of the IoT-based smart industry and its major components and proposes the state-of-the-art network infrastructure, including structured layers of IIoT architecture, IIoT network topologies, protocols, and devices. Furthermore, the relationship between IoT-based industries and key technologies is analyzed, including big data storage, cloud computing, and data analytics. A detailed discussion of IIoT-based application domains, smartphone application solutions, and sensor- and device-based IIoT applications developed for the management of the smart industry is also presented. Consequently, IIoT-based security attacks and their relevant countermeasures are highlighted. By analyzing the essential components, their security risks, and available solutions, future research directions regarding the implementation of IIoT are outlined. Finally, a comprehensive discussion of open research challenges and issues related to the smart industry is also presented.
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Caesarendra, Wahyu, Bobby Pappachan, Tomi Wijaya, Daryl Lee, Tegoeh Tjahjowidodo, David Then, and Omey Manyar. "An AWS Machine Learning-Based Indirect Monitoring Method for Deburring in Aerospace Industries Towards Industry 4.0." Applied Sciences 8, no. 11 (November 5, 2018): 2165. http://dx.doi.org/10.3390/app8112165.
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The number of studies on the Internet of Things (IoT) has grown significantly in the past decade and has been applied in various fields. The IoT term sounds like it is specifically for computer science but it has actually been widely applied in the engineering field, especially in industrial applications, e.g., manufacturing processes. The number of published papers in the IoT has also increased significantly, addressing various applications. A particular application of the IoT in these industries has brought in a new term, the so-called Industrial IoT (IIoT). This paper concisely reviews the IoT from the perspective of industrial applications, in particular, the major pillars in order to build an IoT application, i.e., architectural and cloud computing. This enabled readers to understand the concept of the IIoT and to identify the starting point. A case study of the Amazon Web Services Machine Learning (AML) platform for the chamfer length prediction of deburring processes is presented. An experimental setup of the deburring process and steps that must be taken to apply AML practically are also presented.
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Gaber, Tarek, Joseph B. Awotunde, Sakinat O. Folorunso, Sunday A. Ajagbe, and Esraa Eldesouky. "Industrial Internet of Things Intrusion Detection Method Using Machine Learning and Optimization Techniques." Wireless Communications and Mobile Computing 2023 (April 30, 2023): 1–15. http://dx.doi.org/10.1155/2023/3939895.
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The emergence of the Internet of Things (IoT) has witnessed immense growth globally with the use of various devices found in home, transportation, healthcare, and industry. The deployment and implementation of the IoT paradigm in industrial settings lead to the architectural changes of Industrial Automation and Control Systems (IACS) plus the countless connectivity of industrial systems. This resulted in what is referred to as the Industrial Internet of Things (IIoT), which removes the barrier of connecting IACS to isolated conventional ICT platforms. In recent times, the IoT has started hacking our personal lives and not only our world, thus creating a platform for impending IoT cyberattacks. The widespread use of the IoT has created a rich platform for possible IoT cyberattacks. Machine learning (ML) algorithms have been driven solutions to secure wireless communication in IIoT-based systems, and their use in solving various cybersecurity challenges. Therefore, this paper proposes a novel intrusion detection model based on the Particle Swarm Optimization (PSO) and Bat algorithm (BA) for feature selection, and the Random Forest (RF) classifier for the classification of malicious behaviors in IIoT-based network traffic. An IIoT-based cybersecurity dataset, WUSTL-IIOT-2021 Dataset, was used to evaluate the performance of the proposed model using accuracy, recall, precision, and F1-score. The results of the two feature selection were compared to identify the most promising one. The results were compared with other recent state-of-the-art ML and multiobjective algorithms, and the results showed better performance. The RF along with BA classifier had proved to be the best classifier.
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Arora, Jyoti, Pooja Kherwa, and Meena Tushir. "A comprehensive survey on the significance of industrial Internet of Things, energy management and big data analytics." Journal of Information and Optimization Sciences 45, no. 2 (2024): 247–56. http://dx.doi.org/10.47974/jios-1544.
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The adaptive worldwide network architecture made up of web-enabled, objects connected through internet generally defines the concept of Internet of Things (IoT). In today’s world, IoT is contributing towards the transformation of the traditional industries to the smart industries by integrating the concept of IoT based energy management system into the analytics-based information system of the industries. Manufacturing businesses have concluded that by providing a digital identity to their tangible resources through IoT-based solutions, they can gain higher clarity into their processes and massively improve them. To estimate and analyze the developments in this field, this paper conducts an in-depth survey on the significance of big data analytics and energy management in shaping the progress of the Industrial Internet of Things (IIoT). It briefs the components related to the building blocks of the IoT, its application in various domains, benefits and the major challenges faced for building IoT technologies. This review present cutting-edge research on how IoT technology adoption might propel the transformation of industrial companies that are energy-efficient and environmentally sustainable.
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Li, Keng, Yu Zhang, Yong Huang, Zhiwei Tian, and Ziqin Sang. "Framework and Capability of Industrial IoT Infrastructure for Smart Manufacturing." Standards 3, no. 1 (January 3, 2023): 1–18. http://dx.doi.org/10.3390/standards3010001.
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The Internet of Things (IoT) and smart manufacturing (SM) are mutually reinforcing. The establishment of IoT-based common facilities for SM is the premise of building SM system. Industrial IoT (IIoT) infrastructure for SM refers to common facilities based on IoT that support SM in industries or sectors, and plays a dominant role and faces severe challenges in the intelligence of SM. The infrastructure is independent of the products and production process in a specific factory. This paper develops conceptual and capability frameworks of IIoT infrastructure from a unified perspective of IIoT-related SM industries. These frameworks reflect relationships between IIoT and SM with in-depth relationships among basic facilities of IIoT infrastructure and lay the foundation of SM. In this paper the common characteristics and high-level requirements with respect to the different IoT layers of IIoT infrastructure are analyzed, and the capability framework and relevant capabilities of IIoT infrastructure are summarized according to the characteristics and requirements. In order to help service providers implement their systems to meet the needs of SM, the existing and newly developed IIoT infrastructure are integrated partially or in whole according to the intelligence level, so as to provide technical guidance for stakeholders to apply emerging ICTs to SM.
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Vijayakumaran, C., B. Muthusenthil, and B. Manickavasagam. "A reliable next generation cyber security architecture for industrial internet of things environment." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 1 (February 1, 2020): 387. http://dx.doi.org/10.11591/ijece.v10i1.pp387-395.
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Architectural changes are happening in the modern industries due to the adaption and the deployment of ‘Internet of Things (IoT)’ for monitoring and controlling various devices remotely from the external world. The most predominant place where the IoT technology makes the most sense is the industrial automation processes in smart industries (Industry 4.0). In this paper, a reliable ‘Next Generation Cyber Security Architecture (NCSA)’ is presented for Industrial IoT (IIoT) environment that detects and thwarts cybersecurity threats and vulnerabilities. It helps to automate the processes of exchanging real-time critical information between devices without any human intervention. It proposes an analytical framework that can be used to protect entities and network traffics involved in the IIoT wireless communication. It incorporates an automated cyber-defense authentication mechanism that detects and prevents security attacks when a network session has been established. The defense mechanism accomplishes the required level of security protection in the network by generating an identity token which is cryptographically encrypted and verified by a virtual gateway system. The proposed NCSA improves security in the IIoT environment and reduces operational management cost.
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C. Sailaja. "Industrial Internet of Things – An Overview." December 2022 4, no. 4 (December 30, 2022): 257–71. http://dx.doi.org/10.36548/jismac.2022.4.003.
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Internet of Things (IoT) is a network of intelligent objects (smart sensors) that are connected and accessible to the Internet through devices such as routers to exchange data. Many useful applications can be developed using IoT. IoT has brought a change in such a way that everything around us can be turned into smart devices e.g., smart cars, smart homes, smart parking, smart cities etc., thereby connecting human, machine & things seamlessly. The advent of cheaper processing power, communication cost and some marketing have created the IoT of today. When the principles of IoT are applied to Industries, it is termed as Industrial IoT. Smart sensors and Industrial Internet of Things (IIoT) are modern tools which drive Industry 4.0. The use of smart sensors and IIoT have a positive impact in enhancing the quality & value of products and improve efficiency. The combination of smart sensors with its processing & networking capabilities help in transferring the process data to the centralized database for further analysis. Thus, digitalization has helped industry to reimage the business with the transformation brought about by IIoT. This paper discusses some of the applications of IIoT such as Remote Monitoring & Service, AI & ML based predictive analysis and Closed loop Digital twin using IoT sensors.
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Alshahrani, Hani, Attiya Khan, Muhammad Rizwan, Mana Saleh Al Reshan, Adel Sulaiman, and Asadullah Shaikh. "Intrusion Detection Framework for Industrial Internet of Things Using Software Defined Network." Sustainability 15, no. 11 (June 2, 2023): 9001. http://dx.doi.org/10.3390/su15119001.
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The Industrial Internet of Things (IIoT) refers to the employment of the Internet of Things in industrial management, where a substantial number of machines and devices are linked and synchronized with the help of software programs and third platforms to improve the overall productivity. The acquisition of the industrial IoT provides benefits that range from automation and optimization to eliminating manual processes and improving overall efficiencies, but security remains to be forethought. The absence of reliable security mechanisms and the magnitude of security features are significant obstacles to enhancing IIoT security. Over the last few years, alarming attacks have been witnessed utilizing the vulnerabilities of the IIoT network devices. Moreover, the attackers can also sink deep into the network by using the relationships amidst the vulnerabilities. Such network security threats cause industries and businesses to suffer financial losses, reputational damage, and theft of important information. This paper proposes an SDN-based framework using machine learning techniques for intrusion detection in an industrial IoT environment. SDN is an approach that enables the network to be centrally and intelligently controlled through software applications. In our framework, the SDN controller employs a machine-learning algorithm to monitor the behavior of industrial IoT devices and networks by analyzing traffic flow data and ultimately determining the flow rules for SDN switches. We use SVM and Decision Tree classification models to analyze our framework’s network intrusion and attack detection performance. The results indicate that the proposed framework can detect attacks in industrial IoT networks and devices with an accuracy of 99.7%.
Dissertations / Theses on the topic "IoT industriel"
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Brun-Laguna, Keoma. "Deterministic Networking for the Industrial IoT." Electronic Thesis or Diss., Sorbonne université, 2018. http://www.theses.fr/2018SORUS157.
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L’Internet des Objets (IoT) a évolué d’un toaster connecté en 1990 vers des réseaux de centaines de petit appareils utilisés dans des applications industrielle. Ces « Objects » sont habituellement de petit appareils électroniques capable de mesurer une valeur physique (température, humidité, etc.) et/ou d’agir sur le monde physique (pump, valve, etc.). De part leur faible coût et leur facilité de déploiement, ces réseaux sans fil alimentés par batteries ont étés rapidement adoptés. La promesse des communications sans fil est d’offrir une connectivité similaire au réseau filaires. De nombreuses amélioration ont étés fait dans ce sens, mais plein de défis restent à surmonter car les applications industrielles ont de fortes exigences opérationnelles. Cette section de l’IoT s’appelle l’Internet Industriel des Objets. La principale exigence est la fiabilité. Chaque bout d’information transmit dans le réseau ne doit pas être perdu. Des solutions commerciales sont aujourd’hui accessibles et propose des fiabilités de l’ordre de 99.999 %. C’est à dire, pour chaque centaine de paquet d’information généré, moins d’un est perdu. Vient ensuite la latence et l’efficience énergétique. Comme ces appareils sont alimentés par des batteries, ils doivent consommer le moins possible et être capable d’opérer pendant des années. La prochaine étape pour l’IoT est d’être appliqué au applications nécessitant des garanties de latence. Les technologies de l’IIoT sont maintenant adoptés par de nombreuses entreprises autour du monde et sont maintenant des technologies éprouvées. Néanmoins des défis restent à accomplir et certaines limites de ces technologies ne sont pas encore connues. Dans ce travail, nous nous adressons au réseaux sans fils fondés sur TSCH dont nous testons les limites de latence et de durée de vie dans des conditions réelles. Nous avons collecté plus de 3M statistiques réseaux et 32M données de capteurs dans 11 déploiements sur un total de 170,037 heures machines dans des environnements réels ainsi que dans des bancs d’essais. Nous avons réuni ce que nous pensons être le plus grand jeu de données de réseau TSCH disponible à la communauté réseau. En s’appuyant sur ces données et sur notre expérience des réseaux sans fils en milieu réel, nous avons étudié les limites des réseaux TSCH et avons fourni des méthodes et outils qui permettent d’estimer des performances de ces réseaux dans diverses conditions. Nous pensons avoir assemblé les bons outils pour que les architectes de protocoles réseaux construise des réseaux déterministes pour l’IIoTThe Internet of Things (IoT) evolved from a connected toaster in 1990 to networks of hundreds of tiny devices used in industrial applications. Those “Things” usually are tiny electronic devices able to measure a physical value (temperature, humidity, etc.) and/or to actuate on the physical world (pump, valve, etc). Due to their cost and ease of deployment, battery-powered wireless IoT networks are rapidly being adopted. The promise of wireless communication is to offer wire-like connectivity. Major improvements have been made in that sense, but many challenges remain as industrial application have strong operational requirements. This section of the IoT application is called Industrial IoT (IIoT). The main IIoT requirement is reliability. Every bit of information that is transmitted in the network must not be lost. Current off-the-shelf solutions offer over 99.999% reliability. That is, for every 100k packets of information generated, less than one is lost. Then come latency and energy-efficiency requirements. As devices are battery-powered, they need to consume as little as possible to be able to operate during years. The next step for the IoT is to target time-critical applications. Industrial IoT technologies are now adopted by companies over the world, and are now a proven solution. Yet, challenges remain and some of the limits of the technologies are still not fully understood. In this work we address TSCH-based Wireless Sensor Networks and study their latency and lifetime limits under real-world conditions. We gathered 3M network statistics 32M sensor measurements on 11 datasets with a total of 170,037 mote hours in real-world and testbeds deployments. We assembled what we believed to be the largest dataset available to the networking community. Based on those datasets and on insights we learned from deploying networks in real-world conditions, we study the limits and trade-offs of TSCH-based Wireless Sensor Networks. We provide methods and tools to estimate the network performances of such networks in various scenarios. We believe we assembled the right tools for protocol designer to built deterministic networking to the Industrial IoT
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Hossayni, Hicham. "Enabling industrial maintenance knowledge sharing by using knowledge graphs." Electronic Thesis or Diss., Institut polytechnique de Paris, 2021. http://www.theses.fr/2021IPPAS017.
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Autrefois considérée comme faisant partie des coûts généraux de l'entreprise, la maintenance industrielle est devenue critique pour la continuité de l'activité et une véritable source de données. Malgré les sommes importantes investies par les entreprises dans la fabrication intelligente, les pratiques traditionnelles en maintenance dominent toujours le paysage industriel. Dans cette thèse, nous étudions le partage des connaissances comme une solution potentielle qui peut inverser la tendance et améliorer l'activité de maintenance pour se conformer à l'esprit de l'industrie 4.0. Nous considérons spécifiquement les graphes de connaissances comme un outil permettant de partager les connaissances de maintenance entre les différents acteurs de l'industrie.Dans la première contribution de cette thèse, nous avons mené une étude de terrain à travers une campagne d'entretiens avec des experts aux profils différents et issus de divers domaines industriels. Cela nous a permis de tester l'hypothèse de l'amélioration de l'activité de maintenance via le partage des connaissances, qui est un concept assez nouveau dans de nombreuses industries. Les résultats de cette activité montrent clairement un intérêt réel pour notre approche et révèlent les différents besoins et défis à relever.La deuxième contribution est la conception et le prototype de "SemKoRe"; une solution s'appuyant sur le Web sémantique pour partager les connaissances de maintenance. Elle collecte les données liées aux défaillances de machine, les structure dans un graphe de connaissances et les partage entre tous les clients connectés pour réparer facilement les futures défaillances du même type. Une architecture flexible a été proposée pour couvrir les besoins des différents clients. SemKoRe a reçu l'approbation de plusieurs clients de Schneider implantés dans plusieurs pays et de différents segments.Dans la troisième contribution, nous avons conçu et mis en oeuvre une nouvelle solution pour la détection automatique des données sensibles dans les rapports de maintenance. En effet, les rapports de maintenance peuvent contenir des données confidentielles susceptibles de compromettre ou d'avoir un impact négatif sur l'activité de l'entreprise si elles sont révélées. Cette fonctionnalité est perçue, par les experts du domaine comme un point essentiel et critique pour SemKoRe. Elle permet d'éviter la divulgation de données sensibles lors de l'activité de partage des connaissances. Dans cette contribution, nous nous sommes appuyés sur le web sémantique et le traitement du langage naturel pour développer des modèles personnalisés pour la détection de données sensibles. La construction et l'apprentissage de tels modèles nécessitent une quantité considérable de données. Par conséquent, nous avons mis en place plusieurs services pour la collecte collaborative de données, l'annotation de texte et la construction de corpus. Aussi, une architecture et un workflow simplifié ont été proposés pour la génération et le déploiement de modèles de détection de données sensibles personnalisables sur les passerelles de périphérie.En plus de ces contributions, nous avons travaillé sur différentes fonctionnalités connexes à forte valeur ajoutée pour le projet SemKoRe, et qui ont abouti à différents brevets. Par exemple, nous avons développé et breveté une nouvelle méthode pour interagir avec les données de séries chronologiques à l'aide de critères sémantiques. Elle combine l'utilisation d'ontologies et de bases de données de séries chronologiques pour offrir un ensemble utile de fonctionnalités même sur des passerelles périphériques aux ressources limitées. Nous avons également conçu un nouvel outil qui aide les développeurs à interagir facilement avec des graphes de connaissances avec peu ou pas de connaissance des technologies du Web sémantique. Cette solution a été brevetée et s'avère utile pour d'autres projets basés sur des ontologiesFormerly considered as part of general enterprise costs, industrial maintenance has become critical for business continuity and a real source of data. Despite the heavy investments made by companies in smart manufacturing, traditional maintenance practices still dominate the industrial landscape. In this Ph.D., we investigate maintenance knowledge sharing as a potential solution that can invert the trend and enhance the maintenance activity to comply with the Industry 4.0 spirit. We specifically consider the knowledge graphs as an enabler to share the maintenance knowledge among the different industry players.In the first contribution of this thesis, we conducted a field study through a campaign of interviews with different experts with different profiles and from different industry domains. This allowed us to test the hypothesis of improving the maintenance activity via knowledge sharing which is quite a novel concept in many industries. The results of this activity clearly show a real interest in our approach and reveal the different requirements and challenges that need to be addressed.The second contribution is the concept, design, and prototype of "SemKoRe" which is a vendor-agnostic solution relying on Semantic Web technologies to share the maintenance knowledge. It gathers all machine failure-related data in the knowledge graph and shares it among all connected customers to easily solve future failures of the same type. A flexible architecture was proposed to cover the varied needs of the different customers. SemKoRe received approval of several Schneider clients located in several countries and from various segments.In the third contribution, we designed and implemented a novel solution for the automatic detection of sensitive data in maintenance reports. In fact, maintenance reports may contain some confidential data that can compromise or negatively impact the company's activity if revealed. This feature came up as the make or break point for SemKoRe for the interviewed domain experts. It allows avoiding sensitive data disclosure during the knowledge-sharing activity. In this contribution, we relied on semantic web and natural language processing techniques to develop custom models for sensitive data detection. The construction and training of such models require a considerable amount of data. Therefore, we implemented several services for collaborative data collection, text annotation, and corpus construction. Also, an architecture and a simplified workflow were proposed for the generation and deployment of customizable sensitive data detection models on edge gateways.In addition to these contributions, we worked on different peripheral features with a strong value for the SemKoRe project, and that has resulted in different patents. For instance, we prototyped and patented a novel method to query time series data using semantic criteria. It combines the use of ontologies and time-series databases to offer a useful set of querying capabilities even on resource-constrained edge gateways. We also designed a novel tool that helps software developers to easily interact with knowledge graphs with little or no knowledge of semantic web technologies. This solution has been patented and turns out to be useful for other ontology-based projects
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Mouawad, Mina Rady Abdelshahid. "Agile Multi-PHY Wireless Networking." Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS462.
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Cette thèse contribue au domaine émergent des réseaux sans-fil agiles utilisant plusieurs couches physiques. Traditionnellement, les réseaux sans-fil industriels n'emploient qu'une seule interface radio, à l'instar des implémentations de la pile protocolaire réseau IETF 6TiSCH qui s'appuient sur la radio IEEE 802.15.4 O-QPSK opérant dans la bande de fréquence à 2,4 GHz. Des progrès dans l'intégration de plusieurs schémas de modulation/codage au sein d'un même circuit radio et capable d'opérer dans différentes bandes de fréquence permettent aujourd'hui l'exploitation au sein d'un même réseau d'une diversité de configurations radios. Nous utilisons le terme "PHY'' pour désigner toute combinaison de : modulation, bande de fréquence et schéma de codage. Dans cette recherche, nous soutenons que la combinaison de PHY longue portée et courte portée peut offrir des performances de bout en bout de réseau équilibrées qu'aucun PHY unique n'atteint. Nous démontrons comment un ensemble de PHY courte et longue portée peut être intégré sous une architecture 6TiSCH généralisée ("g6TiSCH'') et nous évaluons expérimentalement ses performances dans un banc d'essai de 36 nœuds à Inria-Paris. De plus, nous montrons, expérimentalement, comment un slotframe TSCH peut adapter la durée du slot, slot par slot, en fonction du débit du PHY utilisé ("6DYN''). Enfin, nous concevons et évaluons, par simulation, une fonction d'objectif pour RPL qui optimise la durée de vie du réseau ("Life-OF''). Nous démontrons comment Life-OF combine divers PHYs pour augmenter la durée de vie du réseau de jusqu'à 470% par rapport à la fonction d'objectif MRHOF du staandard IETF actuelThis thesis contributes to the emerging field of agile multi-PHY wireless networking. Industrial wireless networks have relied on a single physical layer for their operation. One example is the standardized IETF 6TiSCH protocol stack for industrial wireless networking, which uses IEEE~802.15.4 O-QPSK radio in the 2.4~GHz band as its physical layer. Advances in radio chip manufacturing have resulted in chips that support a diverse set of long range and short range PHYs. We use the term "PHY'' to refer to any combination of: modulation, frequency band, and coding scheme. In this research, we argue that combining long-range and short-range PHYs can offer balanced network end-to-end performance that no single PHY achieves. We demonstrate how a set of short-range and long-range PHYs can be integrated under one generalized 6TiSCH ("g6TiSCH'') architecture and we evaluate its performance experimentally in a testbed of 36~motes at Inria-Paris. We further demonstrate, experimentally, how a TSCH slotframe can adapt the slot duration on a slot-by-slot basis, as a function of the bitrate of the used PHY ("6DYN''). Finally, we design and evaluate, through simulation, an objective function for RPL that optimizes for network lifetime ("Life-OF''). We demonstrate how Life-OF combines diverse PHYs to boost network lifetime to be up to 470% compared to the IETF standard MRHOF
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Khalil, Aamre. "Architectures fonctionnelles de transmission sans fils adaptées aux milieux industriels fortement bruités." Electronic Thesis or Diss., Université de Lorraine, 2020. http://www.theses.fr/2020LORR0183.
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Ces dernières années ont été marquées par des mutations rapides et profondes des technologies de transmission de données. Ces mutations sont dictées par l'augmentation massive des débits, la diversité des médias physiques, la multiplication des normes de transmission conjointe aux exigences d'interopérabilité, ainsi que l'accroissement des contraintes liées à ma qualité de service qui se traduisent notamment en contraintes de sûreté de fonctionnement (fiabilité, tolérance aux fautes). Dans le domaine des communications sans fil, à ces aspects s'ajoute l'utilisation d'un spectre de fréquences déjà bien encombré et non extensible, ainsi que la prise en compte de la mobilité, l'autonomie et la sécurité des utilisateurs. Inévitablement, tout ceci induit de très fortes contraintes au niveau de la conception des circuits et systèmes de transmission devant prendre en charge les nouveaux protocoles de transmission. C'est notamment le cas pour tous les aspects relatifs aux codes correcteurs d'erreurs chargés de protéger les communications contre les perturbations extérieures susceptibles d'altérer les informations transmises. En fait, les algorithmes de traitement à mettre en œuvre, très exigeants en termes de débit et de complexité, rendent les architectures de codage/décodage existantes inadaptées à cause de leurs capacités de calcul insuffisantes. Le but de la thèse se situe dans la continuation de travaux précédents ayant fait l'objet de plusieurs thèses et publications concernant les architectures dédiées au traitement des codes correcteurs d'erreurs, les architectures de processeurs et les architectures de réseaux sur puce, le tout en s'intéressant aux aspects tolérances aux fautes. L'objectif global ici est de concevoir de nouvelles architectures numériques fonctionnelle basé sur la modulation par paquets d’ondelettes discrètes, utilisant la transformé inverse par paquets d’ondelettes discrètes (IDWPT) dans la transmission, et la transformé par paquets d’ondelettes discrètes (DWPT) dans la réception, en exploitant deux modes de transmission : One-to-Many (OtM) pour une transmission entre un seul transmetteur et plusieurs capteurs allant de 8, 16 jusqu’à 32 ou plus, et un mode Many-to-One (MtO) pour une transmission entre plusieurs utilisateurs et un seul récepteur avec la même configuration possible, suivie par l’intégration des codes correcteurs modernes dans cette architecture (notamment les différentes familles de codes Reed Solomon et Codes Convolutifs), offrant une forte puissance de traitement et une versatilité élevée (flexibilité et configurabilité), pour les milieux industriels fortement bruité. L’utilisation des codes correcteurs d’erreurs nous ont permis d’avoir un gain de 4 à 6dB pour les codages Reed Solomon et les codes convolutifs utilisés individuellement, de 5 à 10db avec la combinaison de ces deux codages et de 2 à 4dB de plus pour les codes Reed Solomon raccourcisRecent years have been marked by rapid and profound changes in data transmission technologies. These changes are dictated by the massive increase in data rates, the diversity of physical media, the multiplication of joint transmission standards and interoperability requirements, as well as the increase in constraints linked to the quality of service, which are reflected in particular in operational safety constraints (reliability, fault tolerance). In the field of wireless communications, these aspects are compounded by the use of an already congested and non-extensible frequency spectrum, as well as the need to take account of the mobility, autonomy and safety of users. Inevitably, all this leads to very strong constraints in the design of transmission circuits and systems that must support the new transmission protocols. This is particularly the case for all aspects relating to error-correcting codes responsible for protecting communications against external disturbances likely to alter the information transmitted. In fact, the processing algorithms to be implemented, which are very demanding in terms of throughput and complexity, make the existing coding/decoding architectures unsuitable because of their insufficient computing capacity. The aim of the thesis is in the continuation of previous work that has been the subject of several theses and publications concerning architectures dedicated to the processing of error-correcting codes, processor architectures and on-chip network architectures, while focusing on the fault tolerance aspects. The overall objective here is to design new functional digital architectures based on discrete wavelet packet modulation, using Inverse Discrete Wavelet Packet Transform (IDWPT) in transmission, and Discrete Wavelet Packet Transform (DWPT) in reception, exploiting two transmission modes: One-to-Many (OtM) for transmission between a single transmitter and several sensors ranging from 8, 16 up to 32 or more, and a Many-to-One (MtO) mode for transmission between several users and a single receiver with the same possible configuration, followed by the integration of modern correction codes in our architecture (notably the different families of Reed Solomon codes and Convolutional Codes), offering high processing power and versatility (flexibility and configurability), for high noise industrial environments. The use of error-correcting codes allowed us to have a gain of 4 to 6dB for Reed Solomon codings and convolutional codes used individually, 5 to 10db with the combination of these two codes and 2 to 4dB more for shortened Reed Solomon codes
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Wernersson, Henrik Wernersson, and Yassin Atwa. "Resource constrained Industrial IoT device." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-31252.
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I dagens läge är industriella nätverk inte anpassade för att koppla upp resursbegränsade enheter pga av att industriella nätverks-protokollen som används är mer anpassade för real time applikationer. Det skulle vara ett stort steg för de industriella nätverken att kunna koppla upp resursbegränsade enheter för enkel övervakning samt analysering av data. Efter en undersökningsperiod av ett flertal olika IoT-protokoll, gjordes valet att implementera CoAP på en Anybus CompactCom-modul för testning. Under projektets gång användes det en del white-box testning i början vid implementationen av libCoAP. Efter att en fungerande implementation var gjord, påbörjades testning av input och output överensstämmelser med hjälp av black-box testning istället. Resultatet jämfördes i slutändan med den existerande lösningen att skicka parameterdata med hjälp av TCP. Resultatet hade en responstidsskillnad som var 92,3 % snabbare. Samtidigt tog det sammanlagt 24,2 % mindre plats i minnet (FLASH och RAM) för implementationen på Anybus CompactCom-modulen.
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Puñal, Pereira Pablo. "Efficient IoT Framework for Industrial Applications." Doctoral thesis, Luleå tekniska universitet, EISLAB, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-95.
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The use of low-power wireless sensors and actuators with networking support in in-dustry has increased over the past decade. New generations of microcontrollers, new hardware for communication, and the use of standardized protocols such as the Internet Protocol have resulted in more possibilities for interoperability than ever before. This in-creasing interoperability allows sensors and actuator nodes to exchange information with large numbers of peers, which is beneficial for creating advanced, flexible and reusable systems.The increase in interoperability has resulted in an increase in the number of possible attacks from malicious devices or users. For this reason, the use of encryption techniques to protect client and server communications has become mandatory. However, even with state-of-the-art encryption mechanisms, there is no protection that can control access to each particular service with fine-grained precision. The nodes within an industrial network of wireless sensors and actuators are resource-constrained embedded devices, and increasing interoperability therefore requires a higher level of computation capabil-ities. The nodes’ intrinsic limitations of memory and processing exert an adverse effect on power consumption and communication delays, resulting in a shorter battery life-time. Therefore, the standard computing solutions for Internet communications are not directly applicable, and new mechanisms to achieve security, scalability, dependability, interoperability and energy efficiency are needed.Sensor and actuator networks can transmit sensed data, but they also offer access to the actuators. Such accesses, presumably provided via services, require an access protection scheme. For this reason, the use of access control mechanisms is mandatory. Access control assists in the creation of customized services and access policies. These access policies can isolate access permissions to devices with different roles, such as production and maintenance.The main contribution of this thesis is a novel, efficient IoT framework for industrial applications, including design, implementation, and experimental validation. The frame-work includes features for communication protection, authentication, fine-grained access control, zero-configuration networking, and run-time reconfiguration. These technologies and their corresponding energy consumption data clearly demonstrate the feasibility of integrating a battery-operated IoT concept into a functional System of Systems. The provided data also pinpoint the most critical areas for improvement.
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Didic, Alma, and Pavlos Nikolaidis. "Real-time control in industrial IoT." Thesis, Mälardalens högskola, Inbyggda system, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-28309.
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Great advances in cloud computing have drawn the interest of industry. Cloud infrastructures areused, mainly, for monitoring the shop oor. In recent years cloud technologies combined with IoTtechnologies have initiated the eort to close loops between industrial applications and cloud infras-tructures. This thesis examines the eect of including remote servers, both local and centralized,in the closed control loop. Specically, we investigate how delays and jitter aect the closed controlloop. A prototype is developed to include servers on a control loop and inject delays and jitter inthe network. Furthermore, delay mitigation mechanisms are proposed and, using the prototype, anumber of experiments are performed to evaluate them. The mitigation mechanisms focus mainlyon delays and jitter that are larger than the period of closed control loop. The proposed mechanismsimprove the closed control loop response but still fall short compared to the performance of the closecontrol loop when it executes locally, without any servers included. We also, show that local serverscan be included in the closed control loop without signicant degradation in the performance of thesystem.
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Vilhelmsson, Lina, and Pontus Sjöberg. "Implementation and Evaluation of a DataPipeline for Industrial IoT Using ApacheNiFi." Thesis, Karlstads universitet, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-78032.
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In the last few years, the popularity of Industrial IoT has grown a lot, and it is expected to have an impact of over 14 trillion USD on the global economy by 2030. One application of Industrial IoT is using data pipelining tools to move raw data from industry machines to data storage, where the data can be processed by analytical instruments to help optimize the industrial operations. This thesis analyzes and evaluates a data pipeline setup for Industrial IoT built with the tool Apache NiFi. A data flow setup was designed in NiFi, which connected an SQL database, a file system, and a Kafka topic to a distributed file system. To evaluate the NiFi data pipeline setup, some tests were conducted to see how the system performed under different workloads. The first test consisted of determining which size to merge a FlowFile into to get the lowest latency, the second test if data from the different data sources should be kept separate or be merged together. The third test was to compare the NiFi setup with an alternative setup, which had a Kafka topic as an intermediary between NiFi and the endpoint. The first test showed that the lowest latency was achieved when merging FlowFiles together into 10 kB files. In the second test, merging together FlowFiles from all three sources gave a lower latency than keeping them separate for larger merging sizes. Finally, it was shown that there was no significant difference between the two test setups.
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Felicetti, Riccardo. "Infrastrutture per Monitoraggio e Controllo di Dispositivi Industrial IoT basate su Soluzioni Eclipse Foundation." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.
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L'obiettivo di questo studio è quello di realizzare un'infrastruttura per ambienti industriali che permetta di monitorare e controllare dispositivi appartenenti al mondo dell'Internet of Things, basata su due tecnologie offerte dall'Eclipse Foundation.
L'elaborato offre in primo luogo una panoramica sul mondo dell'IIoT e un'analisi approfondita delle piattaforme Eclipse Kura, utilizzata per la realizzazione di un gateway IoT ed Eclipse Kapua utilizzata per la realizzazione di una piattaforma Cloud.
Successivamente il focus si sposta sull'implementazione dell'infrastruttura, mostrando nel dettaglio la sua installazione, la sua configurazione e lo sviluppo di componenti aggiuntivi.
Lo studio si conclude infine, con l'esecuzione di una serie di test e una valutazione del risultato ottenuto.
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Söderby, Karl. "Education of IoT in an industrial context." Thesis, Malmö universitet, Fakulteten för kultur och samhälle (KS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-21298.
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As the rise of Industry 4.0 sheds light on many emerging technologies, oursociety will change with it. While it brings forth many positive aspects, itcannot be ignored the socio-economic problems we may face in the future.Many jobs will be transformed, manual labour such as order picking, forkliftdriving will be vanishing, and humanity will have to adapt, as we have for theprevious industrial revolutions.Educating the industrial workers that face unemployment due to automationis an important ethical matter, but can we as humans develop our knowledgewith the technology, as opposed to adapting to it? This thesis uses methodsof interaction design to create an alternative educational format, forindustrial workers to learn about the Internet of Things, an essentialcomponent of Industry 4.0.The result of this is TIOTTA (Teaching Internet of Things ThroughApplication), a contextual learning material designed together with industrialworkers.
Books on the topic "IoT industriel"
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Butun, Ismail, ed. Industrial IoT. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42500-5.
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Peñalver, Lourdes, and Lorena Parra, eds. Industrial IoT Technologies and Applications. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71061-3.
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Chen, Fulong, and Yonglong Luo, eds. Industrial IoT Technologies and Applications. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60753-5.
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Wan, Jiafu, Iztok Humar, and Daqiang Zhang, eds. Industrial IoT Technologies and Applications. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44350-8.
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Mahmood, Nurul Huda, Nikolaj Marchenko, Mikael Gidlund, and Petar Popovski, eds. Wireless Networks and Industrial IoT. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-51473-0.
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Babel, Wolfgang. Industrie 4.0, China 2025, IoT. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-34718-5.
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Zhurin, Viacheslav V. Industrial Ion Sources. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2011. http://dx.doi.org/10.1002/9783527635726.
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Chang, Victor, Muthu Ramachandran, and Víctor Méndez Muñoz, eds. Modern Industrial IoT, Big Data and Supply Chain. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6141-6.
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Karimipour, Hadis, and Farnaz Derakhshan, eds. AI-Enabled Threat Detection and Security Analysis for Industrial IoT. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76613-9.
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Gupta, Meenu, Rachna Jain, Arun Solanki, and Fadi Al-Turjman. Cancer Prediction for Industrial IoT 4.0: A Machine Learning Perspective. Boca Raton: Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003185604.
Full textBook chapters on the topic "IoT industriel"
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Chakravarthi, Veena S. "Industrial IoT (IIoT) Design Methodology." In Internet of Things and M2M Communication Technologies, 47–60. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79272-5_3.
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Haughian, Barry. "IoT Industries." In Design, Launch, and Scale IoT Services, 163–83. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3712-0_8.
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Rehan, Syed. "Industrial IoT with AWS IoT." In AWS IoT With Edge ML and Cybersecurity, 177–210. Berkeley, CA: Apress, 2023. http://dx.doi.org/10.1007/979-8-8688-0011-5_7.
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Lei, Wan, Anthony C. K. Soong, Liu Jianghua, Wu Yong, Brian Classon, Weimin Xiao, David Mazzarese, Zhao Yang, and Tony Saboorian. "5G Industrial IoT." In Wireless Networks, 515–32. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73703-0_9.
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Ahmed, Monjur, Sapna Jaidka, and Nurul I. Sarkar. "Security in Decentralised Computing, IoT and Industrial IoT." In Industrial IoT, 191–211. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42500-5_5.
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Braunisch, Nico, Santiago Soler Perez Olaya, and Martin Wollschlaeger. "Device Management in Industrial IoT." In Technologien für die intelligente Automation, 37–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-64283-2_3.
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ZusammenfassungDas Internet der Dinge (engl. Internet of Things) breitet sich immer weiter aus. Im Konsumenten- und Heimbereich ist das Thema Internet of Things kurz IoT, bereits weit verbreitet. Auerhalb dieser etablierten Bereiche wird das Thema in der Industrie unter dem Schlagwort Industrial Internet of Things immer relevanter. Dabei gibt es auf die Frage, wie die groe Anzahl an Gerten verwaltet werden soll, noch keine klare Antwort. In der vorliegenden Arbeit wird der aktuelle Stand der Technik im Bereich (Industrial) Internet of Things und Management von IoT Gerten vorgestellt. Die spezifischen Anforderungen an das Gertemanagement werden erhoben und analysiert. Weiter werden Protokolle, Frameworks, Software, Suiten und Plattformen zur Verwaltung von IoT Gerten vorgestellt und evaluiert.
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Sari, Alparslan, Alexios Lekidis, and Ismail Butun. "Industrial Networks and IIoT: Now and Future Trends." In Industrial IoT, 3–55. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42500-5_1.
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Celebi, Hasan Basri, Antonios Pitarokoilis, and Mikael Skoglund. "Wireless Communication for the Industrial IoT." In Industrial IoT, 57–94. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42500-5_2.
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Minoli, Daniel, and Benedict Occhiogrosso. "IoT-Driven Advances in Commercial and Industrial Building Lighting." In Industrial IoT, 97–159. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42500-5_3.
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Castillón, David Camacho, Jorge Chavero Martín, Damaso Perez-Moneo Suarez, Álvaro Raimúndez Martínez, and Victor López Álvarez. "Automation Trends in Industrial Networks and IIoT." In Industrial IoT, 161–87. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42500-5_4.
Full textConference papers on the topic "IoT industriel"
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Gómez, Jonathan, Juan Manuel Rey, María Alejandra Mantilla, Óscar Díaz, Bryan López, Alejandro Ortiz, and Felipe Rubio. "Sistema IoT para el monitoreo y control de una microrred eléctrica experimental: diseño para la investigación y la enseñanza." In Ingeniería para transformar territorios. Asociacion Colombiana de Facultades de Ingeniería - ACOFI, 2023. http://dx.doi.org/10.26507/paper.2952.
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La formación en competencias de la industria 4.0, el internet de las cosas (IoT), la inteligencia artificial (IA) y otras tendencias tecnológicas actuales es una necesidad apremiante para las universidades que buscan mejorar las posibilidades de inserción en el mercado laboral de sus ingenieros. Dentro de los desafíos que conlleva la enseñanza del IoT, se encuentra el de adecuar laboratorios y plataformas que permitan el desarrollo de actividades prácticas con equipos y software usados en la industria. En busca de afrontar este reto, la Universidad Industrial de Santander (UIS), con un equipo interdisciplinar liderado por el Grupo de Investigación en Sistemas de Energía Eléctrica (GISEL), se encuentra desarrollando un sistema IoT para el monitoreo y control de una microrred eléctrica experimental, que permitirá realizar investigaciones en técnicas de control y respuesta a la demanda en sistemas eléctricos, así como aprovechar su uso como un caso de estudio en el marco de una plataforma IIoT (internet industrial de las cosas) para formar estudiantes y profesionales en competencias de la industria 4.0. Para esto, se ha realizado una alianza estratégica con la empresa santandereana Diseño y Automatización Industrial SAS (DAUTOM), que cuenta con amplia experiencia en la automatización de procesos industriales, con el fin de incorporar en la plataforma aspectos técnicos relevantes que permitan plantear prácticas de enseñanza de acuerdo a las necesidades y requerimientos de la industria regional y nacional. Actualmente, el sistema de monitoreo y control IoT se encuentra en etapa de implementación, por lo que este documento presenta una caracterización del caso de estudio, la descripción de sus componentes a nivel hardware, software y sistemas de comunicaciones, y su integración con la plataforma educativa IoT mediante el diseño de prácticas pedagógicas. Finalmente, se describen las etapas futuras que permitirán la puesta en operación del sistema.
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Kumar, Rakesh, Bipin Kandpal, and Vasim Ahmad. "Industrial IoT (IIOT): Security Threats and Countermeasures." In 2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA). IEEE, 2023. http://dx.doi.org/10.1109/icidca56705.2023.10100145.
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Šenk, Ivana, Laslo Tarjan, Srđan Tegeltija, Vule Reljić, Mladen Babić, and Miloš Stanojević. "DEVELOPMENT OF AN IIOT-READY CONVEYOR SYSTEM." In 19th International Scientific Conference on Industrial Systems. Faculty of Technical Sciences, 2023. http://dx.doi.org/10.24867/is-2023-t2.1-1_04641.
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In recent years, there is a growing trend of developing diverse Industrial Internet of Things (IIoT) devices and systems to support the advancements in industrial systems known as the Industry 4.0. New devices and systems are often developed with connectivity capabilities, however there are many already functioning devices and systems that are initially not able to connect to the network and become a part of the IIoT. This paper presents the development of an IIoT-ready conveyor system, where a traditional conveyor system is enhanced with an IoT module to adapt to the new industrial paradigm. Through the IoT module, the conveyor system can connect to the network and become part of the IIoT, thus allowing data acquisition, remote monitoring and control of the conveyor. The developed system consists of a conveyor belt, electric motor, variable frequency drive (VFD), programmable logic controller (PLC) and a dedicated IoT module that enhances the traditional PLC and enables the integration of the whole system into IIoT.
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Nikolić, Vojkan, Zoran Stević, Stefana Janićijević, and Dragan Kreculj. "Possibilities of IIOT application platforms in the electrical power systems." In 8th International Conference on Renewable Electrical Power Sources. SMEITS, 2020. http://dx.doi.org/10.24094/mkoiee.020.8.1.255.
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Nowadays in the market there are different Internet of Things (IoT) devices, that are used in electrical power systems. Such IoT devices can be physically, or virtually networked, with interoperable communication protocols and intelligent interfaces. IoT technologies provide their connection to the internet, as well as connection to special services and applications. Electrical power systems have traditional Enterprise resource planning (ERP), Supervisory control and data acquisition (SCADA), Distributed control systems (DCSs), as well as traditional industrial automation stack to achieve functional integration between the company management level and the production level. Industrial IoT (IIoT) platforms should overcome the gap between Information technology (IT) and Operational technology (OT) environments. These platforms providing a more suitable data architecture for the modern industrial automation stack. The paper presents the overview of one modern solution with the Claroty IIoT platform. Claroty delivers comprehensive and reduces the complexity of OT security.
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"Empowering Industrial IoT with Narrowband: The Role of NB-IoT in Industry 4.0." In International Conference on Cutting-Edge Developments in Engineering Technology and Science. ICCDETS, 2024. http://dx.doi.org/10.62919/mtlk8978.
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This paper investigates the role of Narrowband Internet of Things (NB-IoT) in empowering Industrial IoT (IIoT) within the context of Industry 4.0. NB-IoT, a low-power wide-area network technology, is pivotal for facilitating reliable, efficient, and cost-effective connectivity for a multitude of industrial devices and sensors. We analyze the technical features of NB-IoT, including its extended coverage, low power consumption, and high connection density, which make it ideal for industrial applications. The paper examines various use cases, such as asset tracking, predictive maintenance, and remote monitoring, demonstrating how NB-IoT enhances operational efficiency and productivity. Challenges related to scalability, integration with existing systems, and security are discussed. Additionally, future prospects for NB-IoT in advancing Industry 4.0 initiatives are explored. This research aims to provide a comprehensive overview of how NB-IoT is shaping the future of industrial connectivity and automation.
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Aragones Ortiz, Raul, Maria Oliver Parera, Roger Malet Munte, Maria Teresa Marquez Garda, and David Comellas Vogel. "Vibration and Steam Leaks Monitoring Using a Batteryless IIoT Powered by Waste Heat Using LoRaWAN Wireless Protocol in Chemical Plants." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211177-ms.
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Abstract This work presents a novel waste heat-powered long-range wireless and battery-less industrial Internet of Things device (IIoT). It is conceived to measure and predict machinery vibrations and steam leaks. This self-powered and autonomous device will help energy demanding industries (chemical, petrochemical, oil refineries, paper, iron&steel, etc.) to become more environmentally friendly and profitable in their digitalization transition towards Industry 4.0 paradigm. Moreover, thanks to being continued powered by thermoelectric generators they are battery-less, enabling long-range wireless protocols adoption such as LoRaWAN, minimizing in-house wireless infrastructure, and incorporating edge computing. This capability allows to reduce up to 98% of the cloud computation effort and its GHG emissions contribution due to data can be computed inside the IoT device. These capabilities are tough to find in battery-powered IoT due to their battery lifetime limitations.
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Voicu, Vladimir, Dorin Petreus, Emil Cebuc, and Radu Etz. "Industrial IoT (IIOT) Architecture for Remote Solar Plant Monitoring." In 2022 21st RoEduNet Conference: Networking in Education and Research (RoEduNet). IEEE, 2022. http://dx.doi.org/10.1109/roedunet57163.2022.9921045.
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Santos, Mattheus S., Mario A. R. Dantas, José M. N. David, Regina M. M. B. Villela, and Felipe S. Costa. "Métis - Uma Abordagem de Autenticidade Diferenciada para Ambientes IIoT." In Workshop em Blockchain: Teoria, Tecnologias e Aplicações. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/wblockchain.2021.17130.
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A segurança no ambiente industrial é uma preocupação crescente desde a integração dos dispositivos IoT Industriais (IIoT). A comunicação entre esses dispositivos, diferentes usuários e o volume de dados digitais transferidos aumenta a vulnerabilidade. Visando enfrentar este desafio, desenvolvemos estudos relacionados à aplicação de contratos inteligentes com suporte de blockchain para garantir a integridade da autenticidade de identidade dos dados digitais que trafegam no ambiente IoT Industrial (IIoT). Portanto, neste artigo, apresentamos a proposta do Métis, que representa uma abordagem de autenticidade diferenciada e que foi testada por meio de simulações para fornecer um cenário de segurança para um projeto real da Indústria 4.0.
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Carvalho, Danilo Farias de, and Charles Christian Miers. "Uma proposta de estudo comparativo de NB-IoT vs LoRaWAN para aplicação em redes IIoT privadas para automação e monitoramento de processos." In Escola Regional de Redes de Computadores. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/errc.2021.18536.
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A Internet of Things (IoT) está cada vez mais pervasiva e ubíqua, nas mais variadas áreas. Diversas indústrias também estão incorporando esta inteligência aos seus processos através de Industrial Internet of Things (IIoT). Contudo, há diversas abordagens à implementação, sendo que as abordagens sem fios são as mais empregadas pela dinamicidade de implantação e gerenciamento. Este trabalho faz um estudo comparativo de duas das principais tecnologias sem fio que podem ser empregadas em redes de IIoT privadas (NB-IoT e LoRaWAN) no contexto de automação e monitoramento de processos com base em dados de um estudo caso real. Uma pesquisa referenciada correlaciona os requisitos de IIoT em função das características das redes NB-IoT e LoRaWAN.
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Rubio Toloza, Andrés Felipe, Juan Manuel Rey López, Julián Rodríguez Ferreira, Germán Alfonso Osma Pinto, Iván Hernández, Alejandro Ortiz Suárez, and Jonathan Gómez Zuluaga. "Sistema IIoT para la monitorización de variables atmosféricas como caso de estudio para una plataforma educativa." In Ingeniería para transformar territorios. Asociacion Colombiana de Facultades de Ingeniería - ACOFI, 2023. http://dx.doi.org/10.26507/paper.2944.
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La enseñanza del IoT es importante, ya que es una tecnología emergente que tiene el potencial de transformar muchos aspectos de nuestra vida. Por esta razón, las universidades tienen el reto de ofrecer a sus estudiantes experiencias de aprendizaje que les permitan desarrollar las competencias necesarias para desempeñarse en sectores donde se utiliza el IoT Industrial (IIoT). Este trabajo aborda la aplicación del IIoT en radioastronomía, donde su utilización permite la recopilación de datos en tiempo real. El sistema presentado hace parte de una estación (denominada CASIRI) para caracterizar zonas con cielos silenciosos para la construcción de radio observatorios, involucrando la adquisición de variables atmosféricas, medición de RFI y una cámara para toma de imágenes del cielo. Además de la monitorización con fines prácticos e investigativos, el sistema está integrado a una plataforma educativa que está desarrollando la Universidad Industrial de Santander (UIS) con un equipo interdisciplinar liderado por el Grupo de Investigación en Sistemas de Energía Eléctrica (GISEL), apoyados por la empresa Dautom SAS, que tiene como objetivo formar estudiantes y profesionales en competencias de la industria 4.0. El documento abordará una descripción y caracterización del caso de estudio, incluyendo la estación CASIRI y sus requerimientos operativos, la descripción de sus componentes a nivel hardware y software y las primeras pruebas de funcionamiento. Además, se discutirán las etapas futuras que permitirán la implementación y puesta en operación del sistema, así como las potencialidades desde un punto de vista educativo.
Reports on the topic "IoT industriel"
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Byers, C. (Meetings on industrial ion exchange). Office of Scientific and Technical Information (OSTI), August 1988. http://dx.doi.org/10.2172/7055600.
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Kamaté, Caroline. Industrial safety in a changing world. Foundation for an Industrial Safety Culture, September 2023. http://dx.doi.org/10.57071/240fut.
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This Cahier de la sécurité industrielle (Industrial Safety Notebook) is the result of work carried out by the FonCSI’s “Operator of the future – Work and workers in the 2040’s” Strategic Analysis Scientific Group. Focused around a core of academic researchers, the group also brought together experts from FonCSI’s sponsors. It met fifteen times to explore the impact of current and future global developments on industrial safety in 2040. This Cahier presents a summary of its work.
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Jagannathan, Shanti, and Dorothy Geronimo. Reaping the Benefits of Industry 4.0 through Skills Development in Cambodia. Asian Development Bank, January 2021. http://dx.doi.org/10.22617/spr200325.
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This report explores the implications of the Fourth Industrial Revolution (4IR) on the future of the job market in Cambodia. It assesses how jobs, tasks, and skills are being transformed, particularly in tourism and garment manufacturing as the top two industries with the largest employment in the country. These two industries are likely to benefit from the transformational effect of 4IR, if there is adequate investment in jobs, skills, and training. The report is part of series developed from an Asian Development Bank study on trends in skills demand in Cambodia, Indonesia, the Philippines, and Viet Nam.
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Zotz, Ann-Kathrin. Impact of Climate Change Mitigation Policies in OECD Countries on Carbon Emissions Intensive Export Industries in Latin America. Inter-American Development Bank, December 2012. http://dx.doi.org/10.18235/0008437.
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This paper focuses on carbon-intensive export industries in Latin America and the Caribbean in order to analyze how climate change mitigation policies in the developed countries of the Organization of Economic Cooperation and Development (OECD) influence trade patterns in developing countries. In particular, it examines Latin American's exposure to potential embodied carbon tariffs and the region's response and actions to avoid said tariffs. The carbon-intensive industries in Latin America were chosen as examples based on the list of industrial sectors identified as "exposed to a significant risk of carbon leakage" in the European Commission Decision at the end of 2009
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Montero, José Manuel, Arturo Galindo, and Alejandro Izquierdo. Real Exchange Rates, Dollarization and Industrial Employment in Latin America. Inter-American Development Bank, October 2006. http://dx.doi.org/10.18235/0010967.
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This paper uses a panel dataset on industrial employment and trade for 9 Latin American countries for which liability dollarization data at the industrial level is available. It tests whether real exchange rate fluctuations have a significant impact on employment, and analyze whether the impact varies with the degree of trade openness and liability dollarization. Econometric evidence supports the view that real exchange rate depreciations can impact employment growth positively, but this effect is reversed as liability dollarization increases. In industries with high liability dollarization, the overall impact of a real exchange rate depreciation can be negative.
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McIntyre, Phillip, Susan Kerrigan, and Marion McCutcheon. Australian Cultural and Creative Activity: A Population and Hotspot Analysis: Wollongong. Queensland University of Technology, 2020. http://dx.doi.org/10.5204/rep.eprints.206965.
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Wollongong’s geographic proximity to the southern sprawl of Sydney, accessible transport and cultural diversity have been an attractor for many inward bound creative migrants, helping it diversify away from its industrial past. Wollongong City Council, understanding the importance of the creative industries, has been very proactive in ensuring that the heart of the city has been well and truly activated by sectors of these industries, while the University of Wollongong and its Innovation Campus have also proved a boon to both specialist and embedded creatives. Wollongong maintains a balance between traditional creatives and newer tech-oriented operatives, most with local, national and international suppliers and clients.
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Falco, J., K. Stouffer, A. Wavering, and F. Proctor. IT security for industrial control systems. Gaithersburg, MD: National Institute of Standards and Technology, 2002. http://dx.doi.org/10.6028/nist.ir.6859.
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Jagannathan, Shanti, and Dorothy Geronimo. Reaping the Benefits of Industry 4.0 through Skills Development in High-Growth Industries in Southeast Asia: Insights from Cambodia, Indonesia, the Philippines, and Viet Nam. Asian Development Bank, January 2021. http://dx.doi.org/10.22617/spr200328.
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This synthesis report explores the implications of the Fourth Industrial Revolution (4IR) on the future of the job market in Southeast Asia. It is part of the series of reports that assesses how jobs, tasks, and skills are being transformed in industries with high relevance to 4IR technologies in Cambodia, Indonesia, the Philippines, and Viet Nam. The series provides recommendations to strengthen policies, skills, and training as well as new approaches, strategies, and actions to enhance the readiness of each country’s workforce for 4IR.
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Jagannathan, Shanti, and Dorothy Geronimo. Reaping the Benefits of Industry 4.0 through Skills Development in Viet Nam. Asian Development Bank, January 2021. http://dx.doi.org/10.22617/spr200308.
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This report explores the implications of the Fourth Industrial Revolution (41R) on the future of the job market in Viet Nam. It assesses how jobs, tasks, and skills are being transformed, particularly in logistics and agro-processing. These two industries are important for the country’s employment, economic growth, and international competitiveness and are also highly relevant for 4IR technologies. The report is part of series developed from an Asian Development Bank study on trends in skills demand in Cambodia, Indonesia, the Philippines, and Viet Nam.
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Khuder, Wafaa. The Role of Small and Medium Industries in the Heritage Identity in Iraq: A Case Study of Bashiqa Town. Institute of Development Studies, May 2023. http://dx.doi.org/10.19088/creid.2023.005.
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This paper aims to identify the most famous Yazidi heritage industries in the town of Bashiqa, in Nineveh governorate. It explores the economic, social and cultural reality of three non-material industries (the manufacture of al-rashi, olive oil and soap) in the town of Bashiqa by comparing how they were manufactured in the past with how they are manufactured in the present, and assessing the impact of ISIS gangs on these industries. Finally, the paper puts forward proposals for how these industries can be developed to maintain their heritage and sustainability. The research also aims to invoke the cultural and scientific heritage of the local community to draw inspiration from their sources of strength to plan how local production of the traditional heritage industries can be revitalised after the destruction caused by ISIS. The paper also explores the attachment of the Yazidi community in Bashiqa to the traditional industrial crafts and the extent of their influence on social and economic life, especially given that the city of Mosul is famous for its craft activity, in addition to the cultural and religious differences among the local population of Bashiqa, which comprises several components of Iraqi society (Yazidi, Catholic and Orthodox Christians, and the Muslim Shabak – Sunni, Shiite, and Kurdish) and thus affect the community’s view of the traditional crafts.