LAPSE:2020.0428
Published Article
LAPSE:2020.0428
Industrial Internet of Things and Fog Computing to Reduce Energy Consumption in Drinking Water Facilities
Adrian Korodi, Ruben Crisan, Andrei Nicolae, Ioan Silea
May 8, 2020
The industry is generally preoccupied with the evolution towards Industry 4.0 principles and the associated advantages as cost reduction, respectively safety, availability, and productivity increase. So far, it is not completely clear how to reach these advantages and what their exact representation or impact is. It is necessary for industrial systems, even legacy ones, to assure interoperability in the context of chronologically dispersed and currently functional solutions, respectively; the Open Platform Communications Unified Architecture (OPC UA) protocol is an essential requirement. Then, following data accumulation, the resulting process-aware strategies have to present learning capabilities, pattern identification, and conclusions to increase efficiency or safety. Finally, model-based analysis and decision and control procedures applied in a non-invasive manner over functioning systems close the optimizing loop. Drinking water facilities, as generally the entire water sector, are confronted with several issues in their functioning, with a high variety of implemented technologies. The solution to these problems is expected to create a more extensive connection between the physical and the digital worlds. Following previous research focused on data accumulation and data dependency analysis, the current paper aims to provide the next step in obtaining a proactive historian application and proposes a non-invasive decision and control solution in the context of the Industrial Internet of Things, meant to reduce energy consumption in a water treatment and distribution process. The solution is conceived for the fog computing concept to be close to local automation, and it is automatically adaptable to changes in the process’s main characteristics caused by various factors. The developments were applied to a water facility model realized for this purpose and on a real system. The results prove the efficiency of the concept.
Keywords
data analysis, fog computing, historian, Industrial Internet of Things, Industry 4.0, water industry
Suggested Citation
Korodi A, Crisan R, Nicolae A, Silea I. Industrial Internet of Things and Fog Computing to Reduce Energy Consumption in Drinking Water Facilities. (2020). LAPSE:2020.0428
Author Affiliations
Korodi A: Department of Automation and Applied Informatics, Faculty of Automation and Computers, University Politehnica Timisoara, 300223 Timisoara, Romania
Crisan R: Department of Automation, Faculty of Automation and Computers Science, Technical University of Cluj-Napoca, 400027 Cluj-Napoca, Romania
Nicolae A: Department of Automation and Applied Informatics, Faculty of Automation and Computers, University Politehnica Timisoara, 300223 Timisoara, Romania
Silea I: Department of Automation and Applied Informatics, Faculty of Automation and Computers, University Politehnica Timisoara, 300223 Timisoara, Romania
Journal Name
Processes
Volume
8
Issue
3
Article Number
E282
Year
2020
Publication Date
2020-03-02
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr8030282, Publication Type: Journal Article
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LAPSE:2020.0428
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doi:10.3390/pr8030282
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May 8, 2020
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CC BY 4.0
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May 8, 2020
 
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Calvin Tsay
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