Year: 2026
Type: article
Abstract: The safety and security in water treatment plants (WTPs) is critically important, since they face various potential risks. Conducting real-time anomaly detection in WTPs is of great significance for risk prevention, and emergency response. This work proposes an China’s information technology-based intelligent video anomaly detection approach for WTPs. This approach employs a unidirectional information transmission framework, and conducts real-time detection through 21 alarm algorithms. The algorithms are classified into 6 types: production safety regulations, smoke and fire, environmental safety, abnormal personnel behaviors, operations of production equipments, and illegal intrusion. Multiple mechanisms are employed to increase the accuracy. Meanwhile, an interactive platform is developed to virtually view, automatically analyze, and permanently store alarm information. The whole system has been put into use in a real WTP in Beijing, experiments are conducted to substantiate the feasibility of the proposed method. After 1 year, 1572 alarms were generated successfully. Among these alarms, 11 emergencies have been detected, including 9 fall downs and 2 smokes.
Source: Scientific Reports
Authors: Junfei Qiao, Chunchang Xiao, Anqi Fu, Yongkun Wang, Ziyi Zhang, Tianyu An
Institution: Beijing University of Technology
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,690
OpenAlex ID: W7204815821
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