MARC

LEADER 00000nab a2200000uu 4500
001 3186839119
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022 |a 1687-8086 
022 |a 1687-8094 
024 7 |a 10.1155/adce/9983255  |2 doi 
035 |a 3186839119 
045 2 |b d20250101  |b d20251231 
084 |a 130215  |2 nlm 
100 1 |a Li, Shuangping  |u Changjiang Spatial Information Technology Engineering Co., Ltd. Wuhan Hubei China; Hubei Water Conservancy Information Perception and Big Data Engineering Technology Research Center Wuhan Hubei China 
245 1 |a Online Intelligent Monitoring System and Key Technologies for Dam Operation Safety 
260 |b John Wiley & Sons, Inc.  |c 2025 
513 |a Journal Article 
520 3 |a 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. 
653 |a Software 
653 |a Data processing 
653 |a Internet of Things 
653 |a Big Data 
653 |a Inspection 
653 |a Environmental monitoring 
653 |a Workflow 
653 |a Safety 
653 |a Robots 
653 |a Monitoring systems 
653 |a Data analysis 
653 |a Dam safety 
653 |a Automation 
653 |a Geographic information systems 
653 |a Machine learning 
653 |a Innovations 
653 |a Safety management 
653 |a Hydraulic engineering 
653 |a Canyons 
653 |a Fiber optic networks 
653 |a Digital twins 
653 |a Emergency communications systems 
653 |a Artificial intelligence 
653 |a Algorithms 
653 |a Data collection 
653 |a Engineering 
653 |a Real time 
653 |a Building information modeling 
653 |a Hydroelectric power 
653 |a Remote sensing 
653 |a Process engineering 
653 |a Control systems 
653 |a Data mining 
653 |a Information systems 
653 |a Economic 
700 1 |a Zhang, Bin  |u Changjiang Spatial Information Technology Engineering Co., Ltd. Wuhan Hubei China; Hubei Water Conservancy Information Perception and Big Data Engineering Technology Research Center Wuhan Hubei China 
700 1 |a Tong, Guangqin  |u China Three Gorges Corporation River Basin Complex Administration Center Yichang Hubei China; Hubei Key Laboratory of Operation Safety of High Dam and Large Reservoir Yichang Hubei China 
700 1 |a Li, Yonghua  |u Changjiang Spatial Information Technology Engineering Co., Ltd. Wuhan Hubei China; Hubei Water Conservancy Information Perception and Big Data Engineering Technology Research Center Wuhan Hubei China 
700 1 |a Liu, Zuqiang  |u Changjiang Spatial Information Technology Engineering Co., Ltd. Wuhan Hubei China; Hubei Water Conservancy Information Perception and Big Data Engineering Technology Research Center Wuhan Hubei China 
700 1 |a Shi, Bo  |u Changjiang Spatial Information Technology Engineering Co., Ltd. Wuhan Hubei China; Hubei Water Conservancy Information Perception and Big Data Engineering Technology Research Center Wuhan Hubei China 
700 1 |a Geng, Jun  |u China Three Gorges Corporation River Basin Complex Administration Center Yichang Hubei China; Hubei Key Laboratory of Operation Safety of High Dam and Large Reservoir Yichang Hubei China 
700 1 |a Liu, Dingming  |u China Three Gorges Corporation River Basin Complex Administration Center Yichang Hubei China; Hubei Key Laboratory of Operation Safety of High Dam and Large Reservoir Yichang Hubei China 
700 1 |a Wang, Huawei  |u Changjiang Spatial Information Technology Engineering Co., Ltd. Wuhan Hubei China; Hubei Water Conservancy Information Perception and Big Data Engineering Technology Research Center Wuhan Hubei China 
700 1 |a Ai, Qingsong  |u Changjiang Spatial Information Technology Engineering Co., Ltd. Wuhan Hubei China; Hubei Water Conservancy Information Perception and Big Data Engineering Technology Research Center Wuhan Hubei China; Changjiang Institute of Survey, Planning, Design and Research Co., Ltd. Wuhan Hubei China 
700 1 |a Ding, Jianxin  |u Changjiang Institute of Survey, Planning, Design and Research Co., Ltd. Wuhan Hubei China 
700 1 |a Gan, Zheng  |u Changjiang Spatial Information Technology Engineering Co., Ltd. Wuhan Hubei China; Hubei Water Conservancy Information Perception and Big Data Engineering Technology Research Center Wuhan Hubei China 
773 0 |t Advances in Civil Engineering  |g vol. 2025 (2025) 
786 0 |d ProQuest  |t Engineering Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3186839119/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/3186839119/fulltext/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3186839119/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch