IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i14p11404-d1200251.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/14/11404/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/14/11404/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Laetitia Uwineza & Hyun-Goo Kim & Jan Kleissl & Chang Ki Kim, 2022. "Technical Control and Optimal Dispatch Strategy for a Hybrid Energy System," Energies, MDPI, vol. 15(8), pages 1-19, April.
    2. Paolo Trucillo & Alessandro Erto, 2023. "Sustainability Indicators for Materials and Processes," Sustainability, MDPI, vol. 15(8), pages 1-16, April.
    3. Ciprian Mihai Coman & Adriana Florescu & Constantin Daniel Oancea, 2020. "Improving the Efficiency and Sustainability of Power Systems Using Distributed Power Factor Correction Methods," Sustainability, MDPI, vol. 12(8), pages 1-20, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:11404-:d:1200251. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.