Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Artificial Intelligence for Water Supply Systems
The article offers an overview of publications from 2011 to 2022 on the use of artificial intelligence for water supply systems. Active implementation of artificial intelligence technologies in water supply systems began in 2019, 7 years after the concept of Industry 4.0 had been announced in Germany. A topical collection was conducted, and 67 papers were chosen—46 publications from the Scopus database (69%) and 21 from the RSCI database (31%). The samples were classified by their object of study and the function of the technology being discussed and divided into 3 groups: water supply sources (27%); water treatment (19%); water supply systems (54%). The largest group of papers cover water supply systems, effective distribution of drinking water, control of water leaks, and water supply repairs (54% of the total selection). Our study confirmed the knowledge-intensive nature of the water supply field and the relevance of issues related to resource conservation and environmental monitoring. The most popular artificial intelligence technologies among the studied papers were classification and clustering algorithms, neural networks, and ensemble and genetic algorithms. These technologies are used to process big data for prediction and optimization.
Artificial Intelligence for Water Supply Systems
The article offers an overview of publications from 2011 to 2022 on the use of artificial intelligence for water supply systems. Active implementation of artificial intelligence technologies in water supply systems began in 2019, 7 years after the concept of Industry 4.0 had been announced in Germany. A topical collection was conducted, and 67 papers were chosen—46 publications from the Scopus database (69%) and 21 from the RSCI database (31%). The samples were classified by their object of study and the function of the technology being discussed and divided into 3 groups: water supply sources (27%); water treatment (19%); water supply systems (54%). The largest group of papers cover water supply systems, effective distribution of drinking water, control of water leaks, and water supply repairs (54% of the total selection). Our study confirmed the knowledge-intensive nature of the water supply field and the relevance of issues related to resource conservation and environmental monitoring. The most popular artificial intelligence technologies among the studied papers were classification and clustering algorithms, neural networks, and ensemble and genetic algorithms. These technologies are used to process big data for prediction and optimization.
Artificial Intelligence for Water Supply Systems
Lecture Notes in Civil Engineering
Radionov, Andrey A. (Herausgeber:in) / Ulrikh, Dmitrii V. (Herausgeber:in) / Timofeeva, Svetlana S. (Herausgeber:in) / Alekhin, Vladimir N. (Herausgeber:in) / Gasiyarov, Vadim R. (Herausgeber:in) / Novosjolov, M. (Autor:in) / Ulrikh, D. (Autor:in) / Bryukhov, M. (Autor:in)
International Conference on Construction, Architecture and Technosphere Safety ; 2022 ; Sochi, Russia
03.03.2023
13 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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