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Structuring and Recommendations for Research on the Construction of Intelligent Multi-Industry and Multihazard Emergency Planning Systems

Author

Listed:
  • Xiaolei Zhang

    (School of Emergency Management and Safety Engineering, China University of Mining and Technology, Beijing 100083, China
    China Academy of Safety Science and Technology, Beijing 100012, China)

  • Kaigong Zhao

    (School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China
    CHN Energy Investment Group Co., Beijing 100011, China)

  • Changming Li

    (School of Emergency Management and Safety Engineering, China University of Mining and Technology, Beijing 100083, China
    CHN Energy Investment Group Co., Beijing 100011, China)

  • Yansu Li

    (School of Emergency Management and Safety Engineering, China University of Mining and Technology, Beijing 100083, China)

Abstract

During production and operation, enterprises are faced with occurrences of production accidents. One of the prerequisites for enterprises to achieve sustainable development is building an intelligent emergency command platform. To establish a scientific and advanced emergency management information system and address the challenges related to managing emergency plans to ensure production safety, such as ambiguous roles and responsibilities, inefficient application processes, independent resources, and slow responses by enterprises with multiple types of operations and disasters, an intelligent emergency command platform was built for multiple types of operations and disasters, and this platform was extended to include rescue steps. The structure and digital management of emergency plans under multiple coupled disasters and multipoint cogeneration were determined. Similar emergency plans were automatically recommended by crawler technology and an SVM algorithm based on a public information data lake, and the effectiveness of the plans was evaluated via a fuzzy analytic hierarchy process to promote the preparation of more efficient and scientific emergency plans. Finally, the analysis of pipeline leakage and emergency drill scenarios proved that the system is scientific and reliable. The results are of great significance for improving the deep integration of modern emergency-related information technology and emergency management businesses, promoting institutional and mechanical innovation, to provide a reference for other multibusiness enterprises, wchih can also be integrated into methods for urban safety and rescue.

Suggested Citation

  • Xiaolei Zhang & Kaigong Zhao & Changming Li & Yansu Li, 2024. "Structuring and Recommendations for Research on the Construction of Intelligent Multi-Industry and Multihazard Emergency Planning Systems," Sustainability, MDPI, vol. 16(14), pages 1-13, July.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:14:p:5882-:d:1432480
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    References listed on IDEAS

    as
    1. Taghizadeh, Mehdi & Mahsuli, Mojtaba & Poorzahedy, Hossain, 2023. "Probabilistic framework for evaluating the seismic resilience of transportation systems during emergency medical response," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    2. Zhang, Yan & Wang, Yu-Hao & Zhao, Xu & Tong, Rui-Peng, 2023. "Dynamic probabilistic risk assessment of emergency response for intelligent coal mining face system, case study: Gas overrun scenario," Resources Policy, Elsevier, vol. 85(PB).
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