Electric Power Personal Accident Evolution Analysis Based on Event Evolutionary Graph

Fang Jing () and Mi Chuanmin ()
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Fang Jing: Nanjing University of Aeronautics and Astronautics
Mi Chuanmin: Nanjing University of Aeronautics and Astronautics

Chapter Chapter 14 in City, Society, and Digital Transformation, 2022, pp 177-190 from Springer

Abstract: 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.

Keywords: Event evolutionary graph; Electric power personal accident; Accident evolution (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-3-031-15644-1_14

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DOI: 10.1007/978-3-031-15644-1_14

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