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Emergency Decision Making for Electric Power Personal Accidents Based on Ontology and Case-Based Reasoning

Author

Listed:
  • Xiaolong Hao

    (NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing 210003, China
    Nanjing NARI Information and Communication Technology Co., Ltd., Nanjing 210003, China)

  • Cen Cao

    (NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing 210003, China
    Nanjing NARI Information and Communication Technology Co., Ltd., Nanjing 210003, China)

  • Sheng Yu

    (NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing 210003, China
    Nanjing NARI Information and Communication Technology Co., Ltd., Nanjing 210003, China)

  • Xiaohu Sun

    (State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102209, China)

  • Min Feng

    (NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing 210003, China
    Nanjing NARI Information and Communication Technology Co., Ltd., Nanjing 210003, China)

  • Wang Luo

    (NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing 210003, China
    Nanjing NARI Information and Communication Technology Co., Ltd., Nanjing 210003, China)

  • Zhiqiang Xu

    (Economic and Technical Research Institute of State Grid Hunan Electric Power Co., Ltd., Changsha 410004, China)

  • Hui Xiao

    (Economic and Technical Research Institute of State Grid Hunan Electric Power Co., Ltd., Changsha 410004, China)

Abstract

Improvements in the emergency response efficiency and management level of power construction sites are conducive to reducing the construction safety risk of power infrastructure projects and then achieving the sustainability of construction site safety. Therefore, this paper proposes an emergency decision-making method for electric power personal accidents, which applies ontology and case-based reasoning to electric power emergency decision making. Firstly, ontology technology is used to structurally represent power accident case knowledge and clarify concepts and their relationships. Then, a power accident knowledge ontology hierarchy is designed, and a powerful personal accident case library is established. Secondly, by calculating cases’ conceptual similarity, attribute similarity, and structural similarity, a global power accident case similarity calculation method is proposed, and case matching is performed based on the calculation results to achieve case knowledge retrieval and reuse. Finally, the results of the example-based study show that the method effectively achieves the accurate retrieval of electric power accident cases, improves the efficiency of the emergency decision response to electric power construction site accidents, and then provides support for emergency decision making for electric power construction site accidents.

Suggested Citation

  • Xiaolong Hao & Cen Cao & Sheng Yu & Xiaohu Sun & Min Feng & Wang Luo & Zhiqiang Xu & Hui Xiao, 2023. "Emergency Decision Making for Electric Power Personal Accidents Based on Ontology and Case-Based Reasoning," Sustainability, MDPI, vol. 15(14), pages 1-19, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:11404-:d:1200251
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    References listed on IDEAS

    as
    1. Hee-Kwan Shin & Jae-Min Cho & Eul-Bum Lee, 2019. "Electrical Power Characteristics and Economic Analysis of Distributed Generation System Using Renewable Energy: Applied to Iron and Steel Plants," Sustainability, MDPI, vol. 11(22), pages 1-27, November.
    2. Wei Hou & Rita Yi Man Li & Thanawan Sittihai, 2022. "Management Optimization of Electricity System with Sustainability Enhancement," Sustainability, MDPI, vol. 14(11), pages 1-17, May.
    3. Abdulla Alabbasi & Jhuma Sadhukhan & Matthew Leach & Mohammed Sanduk, 2022. "Sustainable Indicators for Integrating Renewable Energy in Bahrain’s Power Generation," Sustainability, MDPI, vol. 14(11), pages 1-19, May.
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