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Electric Power Personal Accident Evolution Analysis Based on Event Evolutionary Graph

In: City, Society, and Digital Transformation

Author

Listed:
  • Fang Jing

    (Nanjing University of Aeronautics and Astronautics)

  • Mi Chuanmin

    (Nanjing University of Aeronautics and Astronautics)

Abstract

At present, electric power personal accidents happen suddenly followed with serious consequences and the accident evolution process is complex and uncertain, which have put forward high requirements for accident emergency response. Therefore, the discovery of accident evolutionary patterns among events is of great value for accident prevention. This article firstly collects and pre-processes the massive accident raw texts, then concludes several syntax patterns to recognize the causal and sequential relation between events; secondly, the event triples are extracted through dependency parsing analysis. Finally, the electric power personal casualty accidents event graph generates and the abstract event evolutionary graph is constructed based on event generalization. The study indicates that the constructed event evolutionary graph can clearly describe the events evolution path and reveal the accident evolution patterns.

Suggested Citation

  • Fang Jing & Mi Chuanmin, 2022. "Electric Power Personal Accident Evolution Analysis Based on Event Evolutionary Graph," Lecture Notes in Operations Research, in: Robin Qiu & Wai Kin Victor Chan & Weiwei Chen & Youakim Badr & Canrong Zhang (ed.), City, Society, and Digital Transformation, chapter 0, pages 177-190, Springer.
    • Handle: RePEc:spr:lnopch:978-3-031-15644-1_14
    DOI: 10.1007/978-3-031-15644-1_14
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