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Online Intelligent Monitoring System and Key Technologies for Dam Operation Safety

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Udgivet i:Advances in Civil Engineering vol. 2025 (2025)
Hovedforfatter: Li, Shuangping
Andre forfattere: Zhang, Bin, Tong, Guangqin, Li, Yonghua, Liu, Zuqiang, Shi, Bo, Geng, Jun, Liu, Dingming, Wang, Huawei, Ai, Qingsong, Ding, Jianxin, Gan, Zheng
Udgivet:
John Wiley & Sons, Inc.
Fag:
Software
Data processing
Internet of Things
Big Data
Inspection
Environmental monitoring
Workflow
Safety
Robots
Monitoring systems
Data analysis
Dam safety
Automation
Geographic information systems
Machine learning
Innovations
Safety management
Hydraulic engineering
Canyons
Fiber optic networks
Digital twins
Emergency communications systems
Artificial intelligence
Algorithms
Data collection
Engineering
Real time
Building information modeling
Hydroelectric power
Remote sensing
Process engineering
Control systems
Data mining
Information systems
Economic
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Resumen:To realize the comprehensive intelligent upgrade of the Three Gorges Dam safety intelligent monitoring system (IMS), we focus on three core pillars real-time information processing, professional analytical evaluation, and digital management control systematically overcoming critical technical bottlenecks. By deeply integrating artificial intelligence (AI), Internet of Things (IOT), big data analysis, and geographic information system + building information modeling (GIS + BIM) ecosystems, we conducted a holistic diagnosis of existing monitoring systems to precisely identify operational pain points. Leveraging our proprietary innovations, including a GIS + BIM digital base, smart algorithm matrix, and BIM-based finite element computing system, we successfully developed the Three Gorges Dam intelligent monitoring platform, delivering five core value propositions: (1) Achieve real-time and historical aggregation of comprehensive data with dam safety management as the core, fully encompassing various types of environmental monitoring data. (2) Utilizing “GIS + BIM” as the technical foundation, construct a digital twin geometric model of the hub monitoring physical world, enabling intuitive and precise representation of engineering status. (3) Implement online rapid structural calculation, analysis, and early warning based on “BIM + Finite Element” technology, providing timely and reliable support for safety decision-making. (4) Establish a monitoring data analysis model through machine learning intelligent algorithms, deeply mining data value to enable intelligent prediction of potential safety hazards. (5) Promote digital transformation of manual inspection workflows using “IOT + Micro-INS” technology, enhancing inspection efficiency and accuracy. Additionally, our workflow engine ensures full-process digital collaboration across safety monitoring operations, guaranteeing seamless interdepartmental coordination. These innovations have not only enhanced safety management efficiency but also cemented the Three Gorges Dam’s global leadership in hydraulic engineering. As a landmark achievement in national strategic infrastructure, it exemplifies the digital transformation of mega-scale engineering projects in the modern era.
ISSN:1687-8086
1687-8094
DOI:10.1155/adce/9983255
Fuente:Engineering Database