Academic literature on the topic 'Data Acquisition Console'
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Journal articles on the topic "Data Acquisition Console"
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Thapliyal, Aditya, and CRS Kumar. "Development of Data Acquisition Console and Web Server Using Raspberry Pi for Marine Platforms." International Journal of Information Technology and Computer Science 8, no. 11 (November 8, 2016): 46–53. http://dx.doi.org/10.5815/ijitcs.2016.11.06.
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Liu, Xin, Zheng Liu, Jia-Tuo Chen, Xin-Lou Yu, Bin-Jun Lai, Bo Zhan, and Sai-Fan Huang. "Ergonomic Reliability Assessment for Passenger Car Interface Design Based on EWM-MADM and Human Cognitive Reliability Experiments." Mathematical Problems in Engineering 2020 (November 16, 2020): 1–10. http://dx.doi.org/10.1155/2020/4757202.
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The ergonomic reliability assessment of interface design scheme for the passenger car is very practical to enhance driving safety performance. In addition, it can significantly reduce development costs and the development cycle of the new car. From the perspective of guiding the improvement of the central console interactive interface design of the passenger car, the most effective method to build the ergonomic reliability assessment method of the interactive interface is to evaluate and predict the human reliability objectively and subjectively and to design, feedback, and guide the design process of the ergonomic interface for the passenger car. Firstly, the questionnaire survey and the classification of ergonomic reliability analysis factors are analyzed to be put forward based on predecessors; the judgment layer factors and index layer factors of human-machine interaction interface in automobile central console are put forward. Secondly, entropy weight method (EWM) and multiple attribute decision-making (MADM) were used for objective evaluation and subjective evaluation, respectively. Thirdly, the interaction interfaces in central consoles of three different passenger cars are taken as examples; objective simulated experimental test based on entropy weight method and subjective scoring evaluation based on MADM were conducted, respectively. Besides, the objective evaluation and subjective evaluation are coupled by fuzzy comprehensive evaluation. Finally, to verify the effectiveness and rationality of the ergonomic reliability assessment method, human cognitive reliability experiments are made based on the data acquisition from the eye-tracking experiments.
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Xu, Dong Ming, and Li Sheng Shu. "Research on General Remote Monitoring System for Industrial Equipment." Applied Mechanics and Materials 201-202 (October 2012): 678–81. http://dx.doi.org/10.4028/www.scientific.net/amm.201-202.678.
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A general embedded remote monitoring system for industrial equipment has been designed based on Field Bus Technology and Internet Technology. The Field Bus includes PROFIBUS, CAN, RS-485 and RS-232. The data of the device controlled in the system can be detected and transmitted to PC via Internet. Upper monitor in the system is remote PC. Console computer, which can communicate with industrial equipment controller by Field Bus, is the controller of field data acquisition unit. Two working modes can be realized in the system. One is the data of operating status, which is gotten by Field Bus before transferred to PC. The other is the data of operating status, which is detected by field data acquisition unit in remote monitoring system. Maintenance and management becomes convenient after applying the remote monitoring system.
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Hieu, Dang Quang, and Nguyen Xuan Truong. "Data Processing Method in Medium Range Coastal Radar Complex." Journal of the Russian Universities. Radioelectronics, no. 3 (July 19, 2018): 35–41. http://dx.doi.org/10.32603/1993-8985-2018-21-3-35-41.
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The article presents the basic principles of design and development of integrated middle range Coastal Surveillance System (CSS) used for water surface lookout. It provides solutions for such missions as command and control of maritime forces, border monitoring and control, prevention of illegal activities such as piracy, smuggling, illegal immigration, illegal fishing, supporting search and rescue (SAR) operations, and creates a common situation awareness picture of the Naval Theatre. The system structure diagram is designed to solve computational overload problem when processing large volume of data received from radar stations. The measurement-level fusion algorithm is developed based on the JPDA framework, in which radar data received from a single or group of radars and AIS data is aggregated in a processing center. The servers and workstations make use of local area network (LAN), using standard Gigabit Ethernet technologies for local network communications. Acquisition, analysis, storage and distribution of target data is executed in servers, then the data is sent to automated operator stations (console), where functional operations for managing, identifying and displaying of target on digital situational map are performed.
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Wu, Sheng, Weiliang Wen, Yongjian Wang, Jiangchuan Fan, Chuanyu Wang, Wenbo Gou, and Xinyu Guo. "MVS-Pheno: A Portable and Low-Cost Phenotyping Platform for Maize Shoots Using Multiview Stereo 3D Reconstruction." Plant Phenomics 2020 (March 12, 2020): 1–17. http://dx.doi.org/10.34133/2020/1848437.
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Plant phenotyping technologies play important roles in plant research and agriculture. Detailed phenotypes of individual plants can guide the optimization of shoot architecture for plant breeding and are useful to analyze the morphological differences in response to environments for crop cultivation. Accordingly, high-throughput phenotyping technologies for individual plants grown in field conditions are urgently needed, and MVS-Pheno, a portable and low-cost phenotyping platform for individual plants, was developed. The platform is composed of four major components: a semiautomatic multiview stereo (MVS) image acquisition device, a data acquisition console, data processing and phenotype extraction software for maize shoots, and a data management system. The platform’s device is detachable and adjustable according to the size of the target shoot. Image sequences for each maize shoot can be captured within 60-120 seconds, yielding 3D point clouds of shoots are reconstructed using MVS-based commercial software, and the phenotypic traits at the organ and individual plant levels are then extracted by the software. The correlation coefficient (R2) between the extracted and manually measured plant height, leaf width, and leaf area values are 0.99, 0.87, and 0.93, respectively. A data management system has also been developed to store and manage the acquired raw data, reconstructed point clouds, agronomic information, and resulting phenotypic traits. The platform offers an optional solution for high-throughput phenotyping of field-grown plants, which is especially useful for large populations or experiments across many different ecological regions.
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Yi, Ding Rong. "A Mechatronic System for Interactive Scan Plan Prescription during Real-Time Cardiac Magnetic Resonance Imaging." Applied Mechanics and Materials 427-429 (September 2013): 2009–12. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.2009.
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Real-time magnetic resonance imaging (MRI) has many advantages as compared to traditional MRI and can be used for the visualization of dynamic moving cardiac structures and functions without cardiac gating, as the fast data acquisition apparently freezes the motion resulting from heart beating and lung breathing. During the past decades, fast pulse sequences and image reconstruction algorithms had been developed to improve the temporal resolution with acceptable spatial resolution. However, the bottle neck of current real-time MRI systems is the availability of a user-friendly prescription tool to allow a MRI technician to prescribe the 6-Degree-of-freedom imaging plane of the MRI system. To meet the needs of real-time MRI, a 3D input tool is developed which facilitates user interactive specification of the center position and plane orientation of the MRI imaging plane. This paper reports such a custom designed 6 degree-of-freedom 3D input device, which allows the user to interactively and intuitively manipulate the scan plane to direct the real-time imaging capability to a target position based on the visual feedback provided on the MRI console in the form of real-time MRI images
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Wagnetz, Ute, Heidi C. Roberts, Taebong Chung, Demetris Patsios, Kenneth R. Chapman, and Narinder S. Paul. "Dynamic Airway Evaluation with Volume CT: Initial Experience." Canadian Association of Radiologists Journal 61, no. 2 (April 2010): 90–97. http://dx.doi.org/10.1016/j.carj.2009.11.007.
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Purpose The purpose of the study was to prospectively establish the use of a novel multidetector computed tomography unit (MDCT) with 320 × 0.5 detector rows for the evaluation of tracheomalacia by using a dynamic expiratory low-dose technique. Methods Six adult patients (5 men, 1 woman; mean age, 53.7 years [37–70 years]) referred for a clinical suspicion of tracheomalacia were studied on a 320-row MDCT unit by using the following parameters: 120 kVp, 40–50 mA, 0.5-second gantry rotation, and z-axis coverage of 160 mm sufficient to cover the thoracic trachea to the proximal bronchi. Image acquisition occurred during a forceful exhalation. The image data set was subject to the following analyses: cross-sectional area of airway lumen at 4 predefined locations (thoracic inlet, aortic arch, carina, and bronchus intermedius) and measurement of airway volume. Results All 6 patients had evidence of tracheomalacia, the proximal trachea collapsed at a later phase of expiration (3–4 seconds) than the distal trachea (2–3 seconds). The most common region of airway collapse occurred at the level of the aortic arch (5/6 [83%]), Three patients (50%) had diffuse segmental luminal narrowing that involved the tracheobronchial tree. The radiation dose (estimated dose length product, computed tomography console) measured 293.9 mGy in 1 subject and 483.5 mGy in 5 patients. Conclusions Four-dimensional true isophasic and isovolumetric imaging of the central airways by using 320-row MDCT is a viable technique for the diagnosis of tracheomalacia; it provides a comprehensive assessment of airways dynamic.
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Chang, Allen, Armen Derboghossians, Jennifer Kaswick, Brian Kim, Howard Jung, Jeff Slezak, Melanie Wuerstle, Stephen G. Williams, and Gary W. Chien. "Achieving proficiency with robot-assisted radical prostatectomy: Laparoscopic-trained versus robotics-trained surgeons." Canadian Urological Association Journal 7, no. 11-12 (November 8, 2013): 711. http://dx.doi.org/10.5489/cuaj.360.
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Background: Initiating a robotics program is complex, in regards to achieving favourable outcomes, effectively utilizing an expensive surgical tool, and granting console privileges to surgeons. We report the implementation of a community-based robotics program among minimally-invasive surgery (MIS) urologists with and without formal robotics training.Methods: From August 2008 to December 2010 at Kaiser Permanente Southern California, 2 groups of urologists performing robot-assisted radical prostatectomy (RARP) were followed since the time of robot acquisition at a single institution. The robotics group included 4 surgeons with formal robotics training and the laparoscopic group with another 4 surgeons who were robot-naïve, but skilled in laparoscopy. The laparoscopic group underwent an initial 7-day mentorship period. Surgical proficiency was measured by various operative and pathological outcome variables. Data were evaluated using comparative statistics and multivariate analysis.Results: A total of 420 and 549 RARPs were performed by the robotics and laparoscopic groups, respectively. Operative times were longer in the laparoscopic group (p = 0.002), but estimated blood loss was similar. The robotics group had a significantly better overall positive surgical margin rate of 19.9% compared to the laparoscopic group (27.8%) (p = 0.005). Both groups showed improvements in operative and pathological parameters as they accrued experience, and achieved similar results towards the end of the study.Conclusions: Robot-naïve laparoscopic surgeons may achieve similar outcomes to robotic surgeons relatively early after a graduated mentorship period. This study may apply to a community-based practice in which multiple urologists with varied training backgrounds are granted robot privileges.
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Chen, Chen. "Design and Application of the Indoor Environment Monitoring & Control System at Tianjin First Central Hospital." Applied Mechanics and Materials 380-384 (August 2013): 635–38. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.635.
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With advance of our human beings science and technology and enhance of the living standards, more and more people have addressed higher requirements on the environmental conditions in a hospital, therefore, the traditional and no-intelligent monitoring devices are being replaced by the automated and networked monitoring systems gradually. In this case, application of the wireless sensor network just fits this need. This paper proposes the Tianjin First Central Hospital indoor environment monitoring & control system of distributed acquisition and execution, and centralized management by focusing on the needs for the technical indicators of the hospital indoor environment. During design of the system, an universal design concept was put forward, and also a non-standard communication protocol for the wireless sensor network designed independently in combination with the OSI open standard. In this paper, realization of the communication protocol among the nodes with embedded software and the operation mechanism of the modes themselves are discussed, also a console panel has been developed for the data center. Several software design algorithms are proposed with respect to the network layout. This paper also describes the test platform of the Tianjin First Central Hospital indoor environment monitoring & control system established with the network components designed, and provides the test and verification results, including the monitored data of the various gases, corresponding automatic control functions, and underlay BER analysis. The results show that this system can basically realize automatic monitoring on the Tianjin First Central Hospital indoor environment. At present, the sensitive gases include CO, CO2, O2, NH3 and formaldehyde, sensitive environments temperature, humidity and light intensity, and controlled targets ventilation and lighting. This paper offers an optional solution for environment monitoring and has certain theoretical value and engineering significance.
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Merkle, Frank, Dino Kurtovic, Christoph Starck, Cynthia Pawelke, Sina Gierig, and Volkmar Falk. "Evaluation of attention, perception, and stress levels of clinical cardiovascular perfusionists during cardiac operations: a pilot study." Perfusion 34, no. 7 (March 14, 2019): 544–51. http://dx.doi.org/10.1177/0267659119828563.
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Background: Performing cardiopulmonary bypass is a complex task which involves evaluating visual input from patient monitors and technical parameters displayed at the heart-lung machine console as well as reacting to other sensory input. Only few studies are available concerning the competency requirements for clinical cardiovascular perfusionists, including attention, perception, and coping with mental stress. This study aims at evaluating attention, perception, and stress levels of clinical cardiovascular perfusionists during cardiopulmonary bypass. Methods: Nine clinical cardiovascular perfusionists voluntarily offered to participate in the study. Participants were asked to wear Tobii 2 eye-tracking glasses throughout the procedures. Specific time points were analyzed (cardiopulmonary bypass on, initial cardioplegia delivery, steady state, cross-clamp off, and weaning from cardiopulmonary bypass). Data acquisition was supplemented by participants’ self-evaluation regarding their stress levels and by National Aeronautics and Space Administration Task Load Index (NASA TLX) questionnaires. Results: Seven datasets were sufficient to be evaluated. The clinical cardiovascular perfusionists’ professional experience ranged from 0.5 to 24 years. Evaluation of eye-tracking data revealed large variations in areas of interest hits, fixation, and dwell times. Across all phases, the venous reservoir, mean arterial pressure, arterial pump display, cardioplegia control, and data management system received the highest levels of attention. Pupil diameter measurements increased at start of cardiopulmonary bypass, cardioplegia delivery, and weaning off, but returned to base level during steady state. Clinical cardiovascular perfusionists’ self-evaluation showed that subjective stress level was highest at the start and the end of the procedure. NASA TLX questionnaires revealed medium-to-high mental and temporal workloads, but low physical workloads. Performance, effort, and frustration indices showed medium workloads. Conclusion: During cardiopulmonary bypass, perfusionists are subjected to stress. Peak stress levels were highest during start and end of cardiopulmonary bypass. Furthermore, visual attention and perception varied between the operative phases. Further studies are indicated to evaluate the design of heart-lung machines and stress-coping strategies during cardiopulmonary bypass.
Dissertations / Theses on the topic "Data Acquisition Console"
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MAVI, NAVEEN. "DESIGN AND DEVELOPMENT OF DATA ACQUISITION CONSOLE FOR NAVAL SHIPS USING A MICROCONTROLLER." Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/14666.
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ABSTRACT
1. The Indian Navy presently operates more than 150 Ship/ Submarines of different class. These platforms are fitted with large no of state of the art systems required for there smooth operation. It is pertinent to mention that any average frigate/ destroyer of Indian navy carries more 500 tones of live ordinance / ammunition onboard. Further the said ordinances is stored in specialized compartments called magazines and the same are required to be monitored on real time basis for various hazards like Fire and flooding.
2. In addition to the above mentioned hazards, the magazine compartments are also required to be monitored for various parameters like temperature. Humidity, gas content etc. to avoid any damage to the ammunition. The present project is an attempt to design a microcontroller based real time magazine compartment monitoring system for naval platforms.
3. In this project a prototype, Data Acquisition Console has been designed using a COTs (commercial off the shelf) microcontroller board like Arduino/ Raspberry pi/ Beaglebone. The DAC (data acquisition console) will be able to pick up data from various environment sensors fitted inside the magazine compartments and transfer the data on real time basis to the (COP) Computer Observation Posts (on a GUI) in the various compartments of the ship on UART/ Ethernet protocol. Further provisions has also been made to set alarms, whenever a particular sensor reading crosses a pre-designated safe limit.
Book chapters on the topic "Data Acquisition Console"
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Janaki K. "Network Lifetime Analysis in IOT Environment in Healthcare Sectors Using Deep Learning Routing Approach." In Advances in Parallel Computing Technologies and Applications. IOS Press, 2021. http://dx.doi.org/10.3233/apc210151.
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The Internet of Things (IoT) provides an improved flexibility in data collection, network deployment and data transmission to the sink nodes. However, depending on the application, the IoT network tends to consume lot of power from the individual devices. Various conventional solutions are provided to reduce the consumption of energy but most methods focus on increasing the data acquisition speed, data transmission and routing capabilities. However, these methods tend to fall under the trade-off between these three factors. Hence, in order to maintain the trade-off between these constraints, a viable solution is developed in this paper. A deep learning-based routing is built considering the faster acquisition of data, faster data transmission and routing path estimation with increasing path estimation. The paper models a Deep belief Network (DBN) to route the data considering all these constraints. The experimental validation is conducted to check the network lifetime, energy consumption of IoT nodes. The results show that the DBN offers greater source of flexibility with increased data routing capabilities than other methods.
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Pathak, Ketki C., Jignesh N. Sarvaiya, and Anand D. Darji. "Adaptive Prediction Methods for Medical Image/Video compression for Telemedicine Application." In Histopathological Image Analysis in Medical Decision Making, 244–75. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-6316-7.ch011.
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Due to rapid development of multimedia communication and advancement of image acquisition process, there is a crucial requirement of high storage and compression techniques to mitigate high data rate with limited bandwidth scenario for telemedicine application. Lossless compression is one of the challenging tasks in applications like medical, space, and aerial imaging field. Apart from achieving high compression ratio, in these mentioned applications there is a need to maintain the original imaging quality along with fast and adequate processing. Predictive coding was introduced to remove spatial redundancy. The accuracy of predictive coding is based on the choice of effective and adaptive predictor which is responsible for removing spatial redundancy. Medical images like computed tomography (CT) and magnetic resonance imaging (MRI) consume huge storage and utilize maximum available bandwidth. To overcome these inherent challenges, the authors have reviewed various adaptive predictors and it has been compared with existing JPEG and JPEG LS-based linear prediction technique for medical images.
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Pathak, Ketki C., Jignesh N. Sarvaiya, and Anand D. Darji. "Adaptive Prediction Methods for Medical Image/Video compression for Telemedicine Application." In Research Anthology on Telemedicine Efficacy, Adoption, and Impact on Healthcare Delivery, 319–44. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8052-3.ch017.
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Due to rapid development of multimedia communication and advancement of image acquisition process, there is a crucial requirement of high storage and compression techniques to mitigate high data rate with limited bandwidth scenario for telemedicine application. Lossless compression is one of the challenging tasks in applications like medical, space, and aerial imaging field. Apart from achieving high compression ratio, in these mentioned applications there is a need to maintain the original imaging quality along with fast and adequate processing. Predictive coding was introduced to remove spatial redundancy. The accuracy of predictive coding is based on the choice of effective and adaptive predictor which is responsible for removing spatial redundancy. Medical images like computed tomography (CT) and magnetic resonance imaging (MRI) consume huge storage and utilize maximum available bandwidth. To overcome these inherent challenges, the authors have reviewed various adaptive predictors and it has been compared with existing JPEG and JPEG LS-based linear prediction technique for medical images.
Conference papers on the topic "Data Acquisition Console"
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Mihic, Srdan, and Dragan Ivetić. "A SIMPLE GRAPHICAL FRAMEWORK FOR THE ACQUISITION OF BASIC C PROGRAMMING SKILLS." In eLSE 2012. Editura Universitara, 2012. http://dx.doi.org/10.12753/2066-026x-12-138.
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The introductory (and only) C programming course at the freshmen’s year of Animation Engineering (AE) degree proved to be a challenge, despite 20 years of experience in teaching programming courses. Examples of data abstraction and understanding of control structures and expressions in the C programming language had to be brought closer to students who have shown interest in computer graphics and animation, and thus have chosen to pursue AE degree. Instead of a classical first program - “Hello world”, their first program should show a simple graphical object even it is just a single point. Specifically, students will programmatically control the execution of C program from a console window, whereas graphical window will be used as program’s output. We have chosen to use the Microsoft Visual Studio 2010 integrated development environment (IDE) for this course as it is commonly used in our other C programming courses. Therefore, it had to be adapted to the needs and skills of the AE students. This was accomplished by enabling students to draw graphical objects on a simple 2D graphics canvas but without the need to possess any knowledge of computer graphics. For that purpose, several graphical libraries, including: openBGI, GDI, OpenGL and DirectX, were considered to accommodate the graphical component in the chosen IDE. They were compared according to ease of use, debugging support and documentation availability, from the perspective of absolute programming beginners. We have found that none of them are suitable for first time programmers. Because of this, we have implemented a lightweight wrapper graphical framework that abstracts and hides the underlying complexity of libraries used for drawing on a graphical canvas and window management. The framework offers clean design and ease of use. It provides only a small subset of 2D drawing and window management functions. All framework functions have a reduced number of parameters compared to their underlying counterparts as they set as many parameters as possible to predefined values. In addition, the names of functions are shorter than their counterparts. This way, students have to memorize less and can produce working code faster which should enhance their productivity. This framework, combined with compelling examples and assignments, should help students learn programming with ease.
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Arévalo, Pedro J., Olof Hummes, and Matthew Forshaw. "Integrated Real-Time Simulation in an Earth Model – Automating Drilling and Driving Efficiency." In SPE/IADC International Drilling Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/204069-ms.
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Abstract Real-time while drilling simulations use an evergreen digital twin of the well, consisting of physics-based models in an earth model to constantly update boundary conditions and parameters while drilling. The approach actively contributes to prediction or early detection of specific drilling issues, thus reducing drilling-related risk, non-productive time (NPT), and invisible-lost time (ILT). The method also unlocks further drilling optimization opportunities, while staying within a safe operative envelope that protects the wellbore. In the planning phase, a run plan is prepared based on drilling engineering simulations – such as downhole hydraulics and Torque and Drag (T&D) – within the lithology and geomechanics of the earth model. While drilling, the run plan continuously evolves as automatic updates with actual drilling parameters refine the simulations. Smart triggering algorithms constantly monitor sensor data at surface and downhole, automatically updating the simulations. Drilling automation services consume the simulation results, shared across an aggregation layer, to predict drilling dysfunctions related to hole-cleaning, downhole pressure, tripping velocity (which might lead to fractured formations or formation fluids entering the wellbore), tight hole and pipe sticking. Drillers receive actionable information, and drilling automation applications are equipped to control specific drilling processes. Case studies from drilling runs in the North Sea and in Middle East confirm the effectiveness of the approach. Deployment on these runs used a modular and scalable system architecture to allow seamless integration of all components (surface data acquisition, drilling engineering simulations, and monitoring applications). As designed, the system allows the integration of new services, and different data providers and consumers.
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Abu Bakar, Afdzal Hizamal, Muhamad Nasri Jamaluddin, Rizwan Musa, Roberto Fuenmayor, Rajesh Trivedi, Mohamad Mustaqim Mokhlis, Muhammad Firdaus Hassan, et al. "Accelerating Value Through Company Wide Digital Field Implementation: A Success Story." In International Petroleum Technology Conference. IPTC, 2021. http://dx.doi.org/10.2523/iptc-21822-ms.
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Abstract PETRONAS Upstream is cognizant of the need to provide a unified digital production platform to the entire upstream community. The digital platform enables the community to perform analytical, collaborative monitoring & surveillance, and optimization to sustain production and improve our operations. Digital Fields (DF) is a modern digital platform, integrating data and analytical services, that provides smarter insights and shed light on potential insights that contribute to better-informed decision-making and improves the way of working. A big data ecosystem and strong infrastructure is the foundation of this digital platform, allied to existing business processes, it allows frictionless secure flow of data, high performance, scalability to support business operations. Digital Fields platform provides the following features: Scalable to all PETRONAS fields operated in Malaysia as well as International assets Solution architecture that allows fast implementation of new solutions and insights A common company-wide platform with the same familiar user interface and user experience The critical aspect to liven up a digital production platform is to identify first the available data sources. Some fields have the luxury of transmitters and sensors installed at the well head, topside facilities and export pipelines where the data can be easily retrieved from the SCADA system for data acquisition. Some other fields with less real-time data luxury would keep their operational data inside some operational reporting documents. A smart report ingestion solution was developed with the means to transform unstructured data from the operational reports, which empowers the users with multiple options for data upload and consumption while ensuring a single, traceable and auditable source of truth. Digital Fields leverages the combination of Daily Operation Reports (DOR), data with different frequency, such as real-time data, with engineering models changing the way the users consume data and provides proactive actionable insights to accelerate tangible values for the business organization. The solution establishes the foundational digital capabilities for field operations and speeds up data-driven value opportunities from operational data and analytics at scale.
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Pink, Anthony Paul, Carl Fehres, Julie Diane Pearce, Stacy Costa, and Mickey Noworyta. "The New Edge. Building and Deploying a New State of the Art, High Speed Acquisition, Automation and Analytics Platform for Drilling, Completions, Production, and Renewable Energy Applications." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/207291-ms.
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Abstract This paper discusses the architecture, development, and deployment of a new state-of-the-art data acquisition and analytics platform. The system is designed to capture and store data for all phases of well construction and is also suited to aggregating data from renewable energy sources such as offshore wind turbines. In today's well construction world it is vitally important that an edge platform can capture high-quality, high-speed data. It needs to be able to universally translate data from many protocols and provide outbound data streams that are easy to consume and store. The high-quality data streams can then be queried by high-value analytics that ultimately deliver predictive and prescriptive solutions. Our approach was to identify the market pain and develop a system that solved the digital requirements for our customers who needed a field-deployed and field-supported, agnostic digital ecosystem. In the new "Digital Oilfield" the requirements for data capture, aggregation, edge computing, automation, cloud infrastructure and office applications are all expanding rapidly. Most "Edge" solutions are cloud-based and come from purely digital companies who have little or no domain knowledge or field infrastructure with which to deploy and maintain those systems. It was observed that an "Edge" solution was required that remained highly performant even if network connectivity from the cloud to the location was lost. This paper will also discuss the novel approach to the development of this platform with an oil & gas operator's subject matter experts being embedded in the contractor's product development team. The result being an end-to-end solution designed for both the requirements of the field and the office. The customer had previously built its own system internally, but was looking for a partner who could update and maintain an evergreen technology stack, increase speed and capability and be able to maintain and support a scalable product worldwide on all its operational locations. We will explain the development process, early field testing and commercialization of this product and the results that were achieved. This new system will have an open architecture that allows other digital companies to leverage the high-speed data and host their applications on the platform both on the wellsite and in the office. The system also provides interoperability with the machines on location, this interoperability enables a wide range of 3rd parties to be able to deliver automated applications on the well location. This technology will enable significant performance improvements in drilling and completion operations.
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Radoi, Radu, Ioan Pavel, Corneliu Cristescu, and Liliana Dumitrescu. "PRODUCTION OF DOMESTIC HOT WATER IN A SUSTAINABLE WAY BY USING A COMBINED SOLAR - TLUD SYSTEM." In GEOLINKS International Conference. SAIMA Consult Ltd, 2020. http://dx.doi.org/10.32008/geolinks2020/b2/v2/34.
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Fossil fuels are an exhaustible resource on Earth, and their use pollutes the environment massively. The population of the planet has grown a lot, and for the production of domestic hot water, to ensure a decent standard of living, it is necessary to consume increasing quantities of fossil fuels. The very high level of greenhouse gases released into the atmosphere leads to an increase in average of annual temperature and climate change. Climate change is manifested by the melting of the ice caps, which has the consequence of increasing the level of the seas and oceans. Climate change also leads to extreme weather events such as floods, heat waves or the appearance of arid areas. Risks to human health have increased through deaths caused by heat or by changing the way some diseases are spread. Risks also exist for flora and wildlife due to rapid climate change.Many species of animals migrate, and other species of animals and plants are likely to disappear. Climate change also leads to costs for society and the economy due to damage to property and infrastructure, which have been more than 90 billion euros in the last 30 years, just because of the floods. In order to reduce the effects of environmental pollution, ecological energy production solutions need to be expanded. The article presents the creation of an experimental stand of a Solar - TLUD stove combined system for the production of domestic hot water in a sustainable way. TLUD is the acronym for "Top-Lit UpDraft". The advantage of the combined heat system is that it can provide thermal energy both during the day and at night. If the atmospheric conditions are unfavorable (clouds, fog) and do not allow the water to be heated only with the solar panel, TLUD gas stove can be used to supplement the energy. The TLUD stove has low Carbon Monoxide (CO) and Particulate Matter (PM) emissions. After gasification, about 10% of the carbon contained in the biomass is thermally stabilized and can be used as a "biochar" in agriculture or it can be burnt completely, resulting in very little ash. The stand is composed of a solar thermal panel, a TLUD stove, a boiler for hot water storage and an automation system with circulation pumps and temperature sensors. To record the experimental results, a data acquisition board was used, with which data were recorded from a series of temperature and flow transducers located in the installation. Experimental results include diagrams for temperature variation, available energy and heat accumulated in the boiler. Keywords: combined thermal system, TLUD stove, domestic hot water, solar thermal panel, data aquisition system