• ISSN: 1674-7461
  • CN: 11-5823/TU
  • Hosted by:China Society and Technology Association
  • Organizer:China Graphics Society
  • Guidance:China Academy of Building Research
Li Pengfei, Zhang Zhe, Liu Min, Xiong Bin, Zhang Ju. Development of Composite Perception Early Warning Platform for Urban Underground Integrated Pipe Gallery Operation Risk[J]. Journal of Information Technologyin Civil Engineering and Architecture, 2025, 17(3): 100-105. DOI: 10.16670/j.cnki.cn11-5823/tu.2025.03.18
Citation: Li Pengfei, Zhang Zhe, Liu Min, Xiong Bin, Zhang Ju. Development of Composite Perception Early Warning Platform for Urban Underground Integrated Pipe Gallery Operation Risk[J]. Journal of Information Technologyin Civil Engineering and Architecture, 2025, 17(3): 100-105. DOI: 10.16670/j.cnki.cn11-5823/tu.2025.03.18

Development of Composite Perception Early Warning Platform for Urban Underground Integrated Pipe Gallery Operation Risk

  • With the development of information and communication technology, urban underground integrated pipe gallery operation risk prevention and control tends to be comprehensive monitoring and intelligent perception. At present, the lack of integrated dynamic monitoring and systematic response means of operation risk is not conducive to the safety of people's lives and property. Based on the on-site risk acquisition, situation awareness, and assessment methods of integrated pipe gallery operation, this paper studies the design principles of the integrated pipe gallery operation risk composite perception early warning platform and proposes the design objectives, development environment, and overall design method of the platform for its operation risk composite perception early warning platform. Through cloud computing, the Internet of Things, and artificial intelligence technologies, we have built an early warning platform that integrates functions such as data collection, control, and display of operational risks, and carried out project applications, effectively realizing the comprehensive perception, intelligent early warning and efficient management of the risk status of the integrated pipe gallery in the complex operating environment.
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