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Journal articles on the topic 'Real Time automation'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Kumar, Kallakunta Ravi, and Shaik Akbar. "Android Application Based Real Time Home Automation." Indian Journal of Applied Research 4, no. 7 (October 1, 2011): 188–90. http://dx.doi.org/10.15373/2249555x/july2014/57.

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2

Ragavan, S. Veera, Velappa Ganapathy, and Ibrahim Kusumah Kusnanto. "Rapid Automation Application Deployment Framework for Real Time Process and Industrial Automation Systems." International Journal of Computer Theory and Engineering 6, no. 6 (December 2014): 515–20. http://dx.doi.org/10.7763/ijcte.2014.v6.920.

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3

Chang, Wanli, Ran Wei, Shuai Zhao, Andy Wellings, Jim Woodcock, and Alan Burns. "Development Automation of Real-Time Java." ACM Transactions on Embedded Computing Systems 19, no. 5 (November 11, 2020): 1–26. http://dx.doi.org/10.1145/3391897.

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4

Rzehak, H. "Distributed Real-Time Systems for Manufacturing Automation." IFAC Proceedings Volumes 25, no. 6 (May 1992): 329–34. http://dx.doi.org/10.1016/s1474-6670(17)50926-x.

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5

., Aatmling B. Narayanpure. "MULTIPLY YOUR BUSINESS WITH REAL TIME AUTOMATION." International Journal of Research in Engineering and Technology 06, no. 05 (May 25, 2017): 92–97. http://dx.doi.org/10.15623/ijret.2017.0605016.

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Molinari, Fabio, Alexander Katriniok, and Jörg Raisch. "Real-Time Distributed Automation Of Road Intersections." IFAC-PapersOnLine 53, no. 2 (2020): 2606–13. http://dx.doi.org/10.1016/j.ifacol.2020.12.309.

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7

Prakash, Patil Piyush, Digvijay Patil, Rupesh Patil, Vijay D. Chaudhari, and A. J. Patil. "Real Time Street Light Automation Using Arduino." International Journal of Innovations in Engineering and Science 6, no. 10 (August 23, 2021): 125. http://dx.doi.org/10.46335/ijies.2021.6.10.26.

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8

Atalay, İsmail, Oğuz Alper İsen, Emin Cantez, Serkan Aydın, and Onur Akyel. "Integrated Real Time Image Processing In Robotic Automation Line." Academic Perspective Procedia 3, no. 1 (October 25, 2020): 141–50. http://dx.doi.org/10.33793/acperpro.03.01.33.

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Robotic automation systems includes higher production rates and increased productivity, more efficient use of materials, better product quality, improved safety, and reduced factory lead times. Higher output and increased productivity have been two of the biggest reasons in justifying the use of automation. Despite the claims of high quality from good workmanship by humans, automated systems typically perform the manufacturing process with less variability than human workers, resulting in greater control and consistency of product quality. Also, increased process control makes more efficient use of materials, resulting in less scrap. Despite all these advantages, the final product control is still carried out by workers. In this study, it is planned to prevent quality problems with a video processing that integrates with the robotic automation line in order to solve the final quality problem. This system, which controls the movements of the worker in the predetermined motion routes with the signals coming from the line. It aims to ensure that the products going to the customer are completely error free.

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Denney, Dennis. "Gas Lift Automation: Real-Time Data to Desktop." Journal of Petroleum Technology 55, no. 11 (November 1, 2003): 63–64. http://dx.doi.org/10.2118/1103-0063-jpt.

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10

Chandran, Anandhu. "Real Time Smart Energy Meter and Load Automation." International Journal of Advances in Computer Science and Technology 9, no. 6 (June 25, 2020): 10–14. http://dx.doi.org/10.30534/ijacst/2020/02962020.

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Narasimha Swamy, Vasuki, Sahaana Suri, Paul Rigge, Matthew Weiner, Gireeja Ranade, Anant Sahai, and Borivoje Nikolic. "Real-Time Cooperative Communication for Automation Over Wireless." IEEE Transactions on Wireless Communications 16, no. 11 (November 2017): 7168–83. http://dx.doi.org/10.1109/twc.2017.2741485.

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12

Shirmohammadi, D., W. H. E. Liu, K. C. Lau, and H. W. Hong. "Distribution automation system with real-time analysis tools." IEEE Computer Applications in Power 9, no. 2 (April 1996): 31–35. http://dx.doi.org/10.1109/67.491517.

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Tretyakov, A. V. "Automation of scheduling for periodic real-time systems." Proceedings of the Institute for System Programming of RAS 22 (2012): 375–400. http://dx.doi.org/10.15514/ispras-2012-22-20.

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14

Tiwari*, Vipul Kumar, Abhishek Choudhary, Umesh Kr Singh, Anil Kumar Kothari, and Manish Kr Singh. "Real-Time Lime Quality Control through Process Automation." International Journal of Emerging Science and Engineering 7, no. 2 (May 30, 2021): 1–10. http://dx.doi.org/10.35940/ijese.b2502.057221.

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In the steel industry - Tata steel, India, most of the lime produced in the lime plant is used in the steel-making process at LD shops. The quality of steel produced at LD shops depends on the quality of lime used. Moreover, the lime also helps in the crucial dephosphorization process during steel-making. The calcined lime produced in the lime plant goes to the laboratory for testing its final quality (CaO%), which is very difficult to control. To predict, control and enhance the quality of lime during lime making process, five machine-learning-based models such as multivariate linear regression, support vector machine, decision tree, random forest and extreme gradient boosting have been developed using different algorithms. Python has been used as a tool to integrate the algorithms in the models. Each model has been trained on the past 14 months’ data of process parameters, collected from level 1 sensor devices, to predict the future quality of lime. To boost the model’s prediction performance, hyper-parameter tuning has been performed using grid-search algorithm. A comparative study has been done among all the models to select a final model with the least root mean square error in predicting and control future lime quality. After the comparison, results show that the model incorporating support vector machine algorithm has least value of root mean square error of 1.23 in predicting future lime quality. In addition to this, a self-learning approach has also been incorporated into support vector machine model to enhance its performance further in real time. The result shows that the performance has been boosted from 85% strike-rate in +/-2 error range to 90% of strike-rate in +/-1 error range in real-time. Further, the above predictive model has been extended to build a control model which gives prescriptions as output to control the future quality of lime. For this purpose, a golden batch of good data has been fetched which has shown the best quality of lime (≥ 94% of CaO%). A good range of process parameters has been extracted in the form of upper control limit and lower control limit to tune the set-points and to give the prescriptions to the user. The integration of these two models (Predictive model and control model) helps in controlling the quality of lime 12 hours before its final production of lime in lime plant. Results show that both models (Predictive model and control model) have 90% of strike-rate within +/-1 of error in real-time. Finally, a human machine interface has been developed to facilitate the user to take action based on control model’s output. Eventually this work is deployed as a lime making process automation to predict and control the lime quality.

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15

Ashagre, Biniam B., Guangtao Fu, and David Butler. "Automation and real-time control of urban wastewater systems: a review of the move towards sustainability." Journal of Water Supply: Research and Technology-Aqua 69, no. 8 (November 13, 2020): 751–68. http://dx.doi.org/10.2166/aqua.2020.074.

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Abstract Automation and real-time control have long been used in urban wastewater systems. However, there is a critical need to review how real-time control contributes to sustainable water management. This review provides a systematic review of the role of real-time control towards creating a sustainable wastewater system. This review identifies the social, economic and environmental pillars of sustainability that can be achieved using automation and control systems, considering individual systems and different scales of integration. Results obtained from a systematic literature review show that previous research on automation and control related to sustainability in the water sector focuses on addressing economic issues (mainly operational cost reduction) and improving the quality of the water environment, while the social pillar of sustainability is not addressed to a significant degree. Integrated control is identified as a promising approach to address the three pillars of sustainability. Future research on automaton and real-time control in the water and wastewater system needs to explicitly demonstrate the contribution of control strategies towards the attributes of sustainability. To this end, regulatory bodies should focus on creating an overarching sustainability framework with indicators of sustainability clearly defined. Further, addressing three pillars of sustainability requires an integrated approach at a catchment scale where upstream and downstream processes are considered.

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16

Karthikeyan, M., T. S. Subashini, and M. S. Prashanth. "Real Time Face Recognition based Smart Lab for Energy Conservation." Webology 18, SI02 (January 13, 2021): 32–41. http://dx.doi.org/10.14704/web/v18si02/web18010.

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Home automation offers a good solution to help conserve our natural resources in a time when we are all becoming more environmentally conscious. Home automation systems can reduce power consumption and when they are not in use automatically turn off lights and appliances. With home automation, many repetitive tasks can be performed automatically or with fewer steps. For example, each time the person gets out of his computer desk, for instance, the fan and the lights need to be turned off and switched on when he comes back to the computer desk. This is a repetitive task, and failure to do so leads to a waste of energy. This paper proposes a security/energy saving system based on face recognition to monitor the fan and lights depending on the presence or absence of the authenticated user. Initially, the authenticated faces/users LBPH (Local Binary Pattern Histogram) features were extracted and modelled using SVM to construct the face profile of all authenticated users. The webcam catches the user's picture before the PC and the Haar-cascade classifier, a profound learning object identification technique is used to identify face objects from the background. The facial recognition techniques were implemented with python and linked to the cloud environment of Ada-Fruit in order to enable or disable the light and fan on the desk. The relay status is transmitted from Ada Fruit Cloud to Arduino Esp8266 using the MQTT Protocol. If the unidentified user in the webcam is detected by this device, the information in the cloud will be set to ' off ' status, allowing light and fan to be switched off. Although Passive Infrared Sensor (PIR) is widely used in home automation systems, PIR sensors detect heat traces in a room, so they are not very sensitive when the room itself is hot. Therefore, in some countries such as INDIA, PIR sensors are unable to detect human beings in the summer. This system is an alternative to commonly used PIR sensors in the home automation process.

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17

Beran, J., and F. Zezulka. "Evaluation of Real-Time Behaviour in Virtual Automation Networks." IFAC Proceedings Volumes 41, no. 2 (2008): 13970–75. http://dx.doi.org/10.3182/20080706-5-kr-1001.02365.

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18

Eduardo Pereira, Carlos, Alceu Heinke Frigeri, Pablo Darscht, and Wolfgang Halang. "Object-Oriented Development of Real-Time Industrial Automation Systems." IFAC Proceedings Volumes 29, no. 1 (June 1996): 7159–64. http://dx.doi.org/10.1016/s1474-6670(17)58836-9.

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19

Priya, Shiva, M. Alekha, U. Saikiran, T. Sivakrishnateja, and B. Kasikumar Reddy. "Real Time Automation of Agriculture for Detecting Plant Diseases." Journal of Computational and Theoretical Nanoscience 17, no. 4 (April 1, 2020): 1638–41. http://dx.doi.org/10.1166/jctn.2020.8415.

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In agricultural land, there are lot of plants affected by number of diseases. Just like we can get sick, plants can get sick too and sometimes, the same type of things that make us sick can affect our green companions. A sick plant can even look under the weather. Its leaves may wilt or have holes in it. Early data on leaf well-being and sickness discovery can encourage the control of illnesses through legitimate administration techniques. If not treated, these plants may succumb to the disease and perish. Pathogens are any organism that makes plants ill, whether it be another animal such as an insect, or smaller organisms such as bacteria and viruses. Normally we have to check each and every plant to identify the plant disease. And we treat disease by various methods like MILK SPRAY, ELDER LEAF SPRAY, HORSERADISHSPRAY, BAKING SODA… etc. This proposed system solves these problems so that we can automatically detect plant diseases and can apply self-treatment. This paper presents a method for early detection of leaf diseases in plants based on some important features extracted from its leaf images. Here we use BEAGLE BONE BLACK DEVICE which stores healthy leaf images and compare it with current images which is called IMAGE PROCESSING. So after image processing, if the disease leaves are found, then it enables auto medicining. Medicine supply is enabled through Sprinkler or Drip irrigation method, climatic conditions. To avoid spreading the diseases, Temperature sensors and moisture sensors are used. These sensors control spreading diseases.

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20

Cucinotta, T., A. Mancina, G. F. Anastasi, G. Lipari, L. Mangeruca, R. Checcozzo, and F. Rusina. "A Real-Time Service-Oriented Architecture for Industrial Automation." IEEE Transactions on Industrial Informatics 5, no. 3 (August 2009): 267–77. http://dx.doi.org/10.1109/tii.2009.2027013.

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21

Harun, Z., E. Reda, and H. Hashim. "Real time fish pond monitoring and automation using Arduino." IOP Conference Series: Materials Science and Engineering 340 (March 2018): 012014. http://dx.doi.org/10.1088/1757-899x/340/1/012014.

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22

Ejofodomi, O'tega, and Godswill Ofualagba. "Design of a Real Time Feedback Automation Irrigation System." European Journal of Engineering Research and Science 4, no. 12 (December 27, 2019): 117–20. http://dx.doi.org/10.24018/ejers.2019.4.12.1685.

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This paper presents the design of a real time feedback control automated irrigation systems that consists of monitoring units, control units, irrigation pipeline valves, and a network of irrigation pipeline. The monitoring units continuously measure the soil moisture content in the irrigation blocks, and if the moisture content drops below a predetermined threshold for the particular crop under production, it sends a wireless message to the control units controlling the pipeline valves along the water flow channel, causing the control units to open the valves leading to the water source and commencing automatic irrigation. When the moisture content rises above a predetermined threshold for the crop, the monitoring units sends a wireless message to the control units, causing them to close the pipeline valves and cease automatic irrigation. An automatic irrigation system pipeline network optimization software has also been designed to plan, cost, and design the automatic irrigation system for a piece of land prior to installation.

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23

Zalewski, Janusz. "Real-time systems. Implementation of industrial computerized process automation." Control Engineering Practice 1, no. 3 (June 1993): 576–77. http://dx.doi.org/10.1016/0967-0661(93)92094-k.

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24

Cheng, Harry H., Frederick Proctor,, John L. Michaloski, and, and William P. Shackleford. "Real-Time Computing in Open Systems for Manufacturing." Journal of Computing and Information Science in Engineering 1, no. 1 (December 1, 2000): 92–99. http://dx.doi.org/10.1115/1.1351819.

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This article reviews various mechanisms in languages and operating systems for deterministic real-time computing. Open-architecture systems will be defined and their applications in manufacturing will be addressed. Market directions for open-architecture manufacturing systems will be surveyed. Performance issues based on real-time, reliability, and safety will be discussed relating to manufacturing factory automation designed and implemented with component-based, plug-and-play open-architecture.

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25

Xi, Chun Miao. "Network Automation System Synchronized Clock Real-Time Monitoring System for Research." Applied Mechanics and Materials 203 (October 2012): 180–83. http://dx.doi.org/10.4028/www.scientific.net/amm.203.180.

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26

Yamasaki, Nobuyuki. "Design Concept of Responsive Multithreaded Processor for Distributed Real-Time Control." Journal of Robotics and Mechatronics 16, no. 2 (April 20, 2004): 194–99. http://dx.doi.org/10.20965/jrm.2004.p0194.

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This paper describes the design concept of Responsive MultiThreaded (RMT) Processor for distributed real-time control that controls various embedded systems including robots, home automation, factory automation, etc. RMT processor integrates an 8-way multithreaded processor (RMT processing unit) for real-time processing, four sets of Responsive Link II for real-time communication, and I/O peripherals including DDR SDRAM I/Fs, DMAC, PCI64, USB2.0, IEEE1394, PWM generators, pulse counters, etc., into an ASIC chip. System designers can use various on-chip functions easily by connecting required I/Os to this chip directly. The designers can also realize distributed control systems by connecting several RMT processors with their own functions via Responsive Link II.

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Arshdeep Singh Sachdeva and Shreya Kapoor. "Automated E-Commerce and Web Automation using Puppeteer." International Journal for Modern Trends in Science and Technology 6, no. 12 (December 13, 2020): 277–81. http://dx.doi.org/10.46501/ijmtst061251.

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Automation replaces human work in repetitive, tedious tasks, and minimizes the quantity of errors. With the correct automation tools, it's possible to automate browser tasks, web testing, and online data extraction, to fill forms, scrape data, transfer data between applications, and generate reports. In this paper we will discuss about Automated E-Commerce website. The research project focuses on automating the task of placing an order of particular set of items from an online website. The idea is to save time and effort of the user by automating every task from signing in to adding products to the cart and filling up all the forms and placing order. The project also aims at providing the user a Real Time notification through mail for any Price Drops for a particular product that the user wishes to buy in future. Therefore, it also acts as a Price Monitoring System. There are various automation tools out of which we will discuss about Puppeteer.

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Banaulikar, Akash. "Real Time Monitoring and Control for Industrial Automation using PLC." International Journal for Research in Applied Science and Engineering Technology 8, no. 7 (July 31, 2020): 1193–200. http://dx.doi.org/10.22214/ijraset.2020.30453.

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Devi, K. Eswari. "Real-Time Implementation of Light and Fan Automation using Arduino." International Journal for Research in Applied Science and Engineering Technology 8, no. 6 (June 30, 2020): 473–78. http://dx.doi.org/10.22214/ijraset.2020.6072.

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Mishra, Priti. "Internet of Things Based Low-Cost Real-Time Home Automation." IJARCCE 7, no. 12 (December 30, 2018): 14–21. http://dx.doi.org/10.17148/ijarcce.2018.71204.

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31

Das, Debashreet, Sibarama Panigrahi, and Ashok Kumar Bhoi. "Real-Time Industrial Automation Process Control using Network-Enabled RFID." International Journal of Computer Applications 61, no. 10 (January 18, 2013): 42–46. http://dx.doi.org/10.5120/9967-4623.

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32

Shaikh, Sameer, Ayyaj Attar, Siddik Pathan, and Rukaiya Shaikh. "Machine Learning On Real-Time Data to Enhance Home Automation." International Journal of Engineering Trends and Technology 42, no. 1 (December 25, 2016): 6–8. http://dx.doi.org/10.14445/22315381/ijett-v42p202.

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USHAA, ESWARAN, and RAJITH R. "REAL TIME HOME AUTOMATION SYSTEM USING WSN WITH POWER OPTIMIZATION." i-manager’s Journal on Instrumentation and Control Engineering 4, no. 3 (2016): 7. http://dx.doi.org/10.26634/jic.4.3.7062.

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Koech, R. K., R. J. Smith, and M. H. Gillies. "A real-time optimisation system for automation of furrow irrigation." Irrigation Science 32, no. 4 (March 25, 2014): 319–27. http://dx.doi.org/10.1007/s00271-014-0432-6.

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35

Giannakopoulos, T., N. A. Tatlas, T. Ganchev, and I. Potamitis. "A practical, real-time speech-driven home automation front-end." IEEE Transactions on Consumer Electronics 51, no. 2 (May 2005): 514–23. http://dx.doi.org/10.1109/tce.2005.1467995.

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36

Alimujiang, Yi Ming, and Mai Maiti Reziwan. "A Simple Switched Ethernet Protocol for Hard Real-Time Communication." Advanced Materials Research 677 (March 2013): 490–95. http://dx.doi.org/10.4028/www.scientific.net/amr.677.490.

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This paper presents a simple and efficient switched Ethernet communication protocol for industrial hard real-time LAN applications. The network is set up with end nodes and a switch, in small-size industrial network covering such as factory automation, distributed control systems and embedded systems. Compared to some conventional hard real-time network protocols by performing some experiments, the proposed protocol has better real-time performances and meets the requirements of reliability for hard real-time system applications.

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37

Zelensky, A. A. "HIGH-SPEED INDUSTRIAL REAL-TIME NETWORK OF CYBERPHYSICAL SYSTEMS." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 185 (November 2019): 46–52. http://dx.doi.org/10.14489/vkit.2019.11.pp.046-052.

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The construction of a high-speed industrial real-time network based on FPGA (Field-Programmable Gate Array) for the control of machines and industrial robots is considered. A brief comparative analysis of the performance of the implemented Ethernet-based Protocol with industrial protocols of other leading manufacturers is made. The aim of the research and development of its own industrial automation Protocol was to reduce the dependence on third-party real-time protocols based on Ethernet for controlling robots, machines and technological equipment. In the course of the study, the requirements for the network of the motion control system of industrial equipment were analyzed. In order to synchronize different network nodes and provide short exchange cycle time, an industrial managed switch was developed, as well as a specialized hardware controller for processing Ethernet packets for end devices, presented as a IP-core. A key feature of the developed industrial network is that the data transmission in it is completely determined, and the exchange cycle time for each of the network devices can be configured individually. High efficiency and performance of implemented network devices became possible due to the use of hardware solutions based on FPGAs. All solutions described in the article as part of a modular digital system have been successfully tested in the control of machines and industrial robot. The results of field tests show that the use of FPGAs and soft processors with specialized peripheral IP-blocks can significantly reduce the tact of managing industrial equipment through the use of hardware computing structures, which indicates the promise of the proposed approach for solving industrial automation tasks.

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Bu, Lei, Wen Xiong, Chieh-Jan Mike Liang, Shi Han, Dongmei Zhang, Shan Lin, and Xuandong Li. "Systematically Ensuring the Confidence of Real-Time Home Automation IoT Systems." ACM Transactions on Cyber-Physical Systems 2, no. 3 (July 18, 2018): 1–23. http://dx.doi.org/10.1145/3185501.

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Wang, Zhaodong, Xiangjun Liu, and Qianqian Wu. "Research on Real-time Data Sharing in Power Integrated Automation System." Energy and Power Engineering 05, no. 04 (2013): 474–78. http://dx.doi.org/10.4236/epe.2013.54b091.

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Korber, Hans-Jrg, Housam Wattar, and Gerd Scholl. "Modular Wireless Real-Time Sensor/Actuator Network for Factory Automation Applications." IEEE Transactions on Industrial Informatics 3, no. 2 (May 2007): 111–19. http://dx.doi.org/10.1109/tii.2007.898451.

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Enomoto, Kazuto, Masaya Takei, and Yasuhiro Kakinuma. "Real-Time Cutting Force/Torque Prediction During Turning." International Journal of Automation Technology 6, no. 5 (September 5, 2012): 669–74. http://dx.doi.org/10.20965/ijat.2012.p0669.

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The automation of machining processes requires highly accurate process monitoring. However, the use of additional sensors leads to a significant increase in the cost and reduces the stiffness and reliability of mechanical systems. Hence, we propose a system called the cutting force observer, which uses a sensor-less and real-time cutting force estimation methodology based on the disturbance observer theory. Monitoring methods using the cutting force observer may enhance the productivity during turning. One of the parameters that significantly affect the cutting process is the shear angle. The determination of the shear angle is very important as it can be used for identifying the machining conditions. In this study, an external sensor-less monitoring system of the shear angle during turning is developed, and its performance is evaluated.

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42

Bollella, Greg. "It's Time for a Change: The Sun Java Real-Time System for Automation Systems." IFAC Proceedings Volumes 41, no. 2 (2008): 8311–14. http://dx.doi.org/10.3182/20080706-5-kr-1001.01405.

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43

Mathes, Markus, Christoph Stoidner, Roland Schwarzkopf, Steffen Heinzl, Tim Dörnemann, Helmut Dohmann, and Bernd Freisleben. "Time-constrained services: a framework for using real-time web services in industrial automation." Service Oriented Computing and Applications 3, no. 4 (October 9, 2009): 239–62. http://dx.doi.org/10.1007/s11761-009-0050-y.

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44

Zhang, Chun Liang, and Li Ping Chen. "Real Time Monitoring of Cutting Chatter Based on Fuzzy Hidden Markov Models." Materials Science Forum 532-533 (December 2006): 1160–63. http://dx.doi.org/10.4028/www.scientific.net/msf.532-533.1160.

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The full automation of machine tools has gained substantial importance in manufacturing industries in recent years, as machining technology has progressed from manually operated production machines to highly advanced and sophisticated CNC machine tool. Whereas manufacturing technology has moved to the stage of automation, there is still an unsolved problem in metal cutting processes: cutting chatter. Due to its complexity, thus cutting chatter is still the primary problem in metal cutting processes. According to the characteristic of cutting chatter, a real time monitoring technique of cutting chatter based on fuzzy hidden Markov model (FHMM) was presented. Hidden Markov model (HMM) is a state-of-the-art technique for speech recognition because of its elegant mathematical structure and the availability of computer implementation of these models. In this paper, the fuzzy EM algorithm was used to the Baum-Welch algorithm in the HMM method, and the strategy of time frequency feature extraction to non-stability signal was described. The experimental results show that the proposed method is feasible and effective for the monitoring of cutting chatter in the metal cutting processes.

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45

Hrbček, Jozef, and Emília Bubeníková. "Embedded image processing on Raspberry Pi connected to the industrial control system." Multidisciplinary Aspects of Production Engineering 2, no. 1 (September 1, 2019): 62–71. http://dx.doi.org/10.2478/mape-2019-0006.

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Abstract This paper deals with the image processing from the camera for Raspberry Pi connected with real-time communication network to the control system (PLC). The low time delay for receiving and sending commands, data, etc. is very important in the automating production processes. This can be provided by industrial real-time network based on Ethernet. The Ethernet POWERLINK, which is supported on B&R PLCs, is one of them. It is a simple solution for a variety of applications because the POWERLINK is publicly available as the open source. Connecting the PLC and Raspberry Pi with Ethernet POWERLINK opens up many applications in industrial automation. For example, image data obtained using a camera attached to Raspberry Pi can be used to sense image of manufacturing processes and products and evaluate their quality in industrial automation. This article focuses on an image processing unit and the PLC system with CPU redundancy used in the industrial application. Vision systems are often used to improve products quality control, saving costs and time.

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Ding, Bo Yang, Xiao Dong Pan, Hai Bing Tao, and Shi Jun Liang. "The Real-Time Integrated Information Management System for Building Construction." Applied Mechanics and Materials 368-370 (August 2013): 1941–45. http://dx.doi.org/10.4028/www.scientific.net/amm.368-370.1941.

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A real-time information management system for building construction (RIMBC), which is supported by the network technology, geographical information technology and office automation technology, is designed. This management system integrated the design data, survey data and test data can be used for the real-time search, management and update of design, survey documents by technical sections of functional departments in the field of construction engineering. This study gives a comprehensive and detailed depiction for the logical structure, entity structure, system process planning, database structure, subsystem structure and personnel training of RIMBC.

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Jarosławska-Sobór, Sylwia, Mateusz Dulewski, and Filip Wasilewski. "Automation Marketing in Research Unit — Real Value or Effectiveness Fantasy." Marketing of Scientific and Research Organizations 34, no. 4 (December 1, 2019): 21–42. http://dx.doi.org/10.2478/minib-2019-0050.

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Summary The aim of the article is to present the issue of Marketing Automation (MA, automation of marketing) and the possibilities of its use in the operational activity of research and scientific entities. MA is a modern, advanced technological solution aimed at improving marketing processes and wider use of data on the market and customers. In recent years it has been one of the most important trends in modern marketing, at the same time posing a real challenge for organizations operating in the field of science and research. The article discusses the experience of the Central Mining Institute, related to the implementation of solutions such as Marketing Automation, treated here as a case study.

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Yu, Fang, Wei Jin Zhuang, Yan Wang, and Ming Yang Sun. "A Method of Real-Time Data Acquisition and Exchange in Adaptation to Integrated Dispatching Automation System." Advanced Materials Research 614-615 (December 2012): 1043–48. http://dx.doi.org/10.4028/www.scientific.net/amr.614-615.1043.

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With the development of computer technology and power grid, integrated dispatching automation system has been gradually applied and used, for it has made considerable progress in technological advance and functional reliability. A method of real-time data acquisition and exchange that adapts to integrated dispatching automation system is proposed, which follows the principle of distributed collection and centralized use. It makes full use of dispatching data network and service bus, to achieve the integration of point multi-source data processing, data forwarding and data remote access, under the situation of normal operation or network failure.

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Wang, Shuguo, Jin Bao, and Yili Fu. "Real-time motion planning for robot manipulators in unknown environments using infrared sensors." Robotica 25, no. 2 (March 2007): 201–11. http://dx.doi.org/10.1017/s0263574706003249.

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SUMMARYThis paper deals with sensor-based motion planning method for a robot arm manipulator operating among unknown obstacles of arbitrary shape. It can be applied to online collision avoidance with no prior knowledge of the obstacles. Infrared sensors are used to build a description of the robot's surroundings. This approach is based on the configuration space but the construction of the C-obstacle surface is avoided. The point automation is confined on some planes with square grids in the C-space. A path-searching algorithm based on square grids is used to guide the automation maneuvering around the C-obstacles on the selected planes. To avoid the construction of the C-obstacle surface, the robot geometry model is expanded, and the static collision detection method is used. Hence, the computation time is reduced and the algorithm can work in real time. The effectiveness of the proposed method is verified by a series of experiments.

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Sait, Sadiq M., and Ghalib A. Al-Hashim. "Novel Design of Heterogeneous Automation Controller Based on Real-Time Data Distribution Service Middleware to Avoid Obsolescence Challenges." Journal of Circuits, Systems and Computers 25, no. 09 (June 21, 2016): 1650111. http://dx.doi.org/10.1142/s0218126616501115.

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Oil and gas processing facilities utilize various process automation systems with proprietary controllers. As the systems age; older technologies become obsolete resulting in frequent premature capital investments to sustain their operation. This paper presents a new design of automation controller to provide inherent mechanisms for upgrades and/or partial replacement of any obsolete components without obligation for a complete system replacement throughout the expected life cycle of the processing facilities. The input/output racks are physically and logically decoupled from the controller by converting them into distributed autonomous process interface systems. The proprietary input/output communication between the conventional controller CPU and the associated input/output racks is replaced with standard real-time data distribution service middleware for providing seamless cross-vendor interoperable communication between the controller and the distributed autonomous process interface systems. The objective of this change is to allow flexibility of supply for all controller’s subcomponents from multiple vendors to safeguard against premature automation obsolescence challenges. Detailed performance analysis was conducted to evaluate the viability of using the standard real-time data distribution service middleware technology in the design of automation controller to replace the proprietary input/output communication. The key simulation measurements to demonstrate its performance sustainability while growing in controller’s size based on the number of input/output signals are communication latency, variation in packets delays, and communication throughput. The overall performance results confirm the viability of the new proposal as the basis for designing cost effective evergreen process automation solutions that would result in optimum total cost of ownership capital investment throughout the systems’ life span. The only limiting factor is the selected network infrastructure.

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