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Smart Sewage Water ...
Smart Sewage Water Management and Data Forecast
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- Wang, Qinghua (author)
- Högskolan Kristianstad,Avdelningen för datavetenskap,Forskningsmiljön för datavetenskap (RECS)
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Westlund, Viktor (author)
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Johansson, Jonas (author)
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- Lindgren, Magnus (author)
- Kristianstads Kommun
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(creator_code:org_t)
- USA : Institute of Electrical and Electronics Engineers (IEEE), 2021
- 2021
- English.
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In: 33rd Workshop of the Swedish Artificial Intelligence Society, SAIS 2021. - USA : Institute of Electrical and Electronics Engineers (IEEE). - 9781665442367
- Related links:
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https://ieeexplore.i...
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https://doi.org/10.1...
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Abstract
Subject headings
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- There is currently an ongoing digital transformation for sewage and wastewater management. By automating data collection and enabling remote monitoring, we will not only be able to save abundant human resources but also enabling predictive maintenance which is based on big data analytics. This paper presents a smart sewage water management system which is currently under development in southern Sweden. Real-time data can be collected from over 500 sensors which have already been partially deployed. Preliminary data analysis shows that we can build statistical data models for ground water, rainfall, and sewage water flows, and use those models for data forecast and anomaly detection.
Subject headings
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (datalogi) (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Information Systems (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
- NATURVETENSKAP -- Data- och informationsvetenskap (Datateknik) (hsv//swe)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Keyword
- Anomaly detection
- Big data
- Internet of things
- Sewage water management
Publication and Content Type
- vet (subject category)
- kon (subject category)