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

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.

Study on the Configuration Causal Factors of Electric power Generation Safety Incidents Based on Grounded Theory and fsQCA

“…Research indicates that both technical and human factors are key elements in enhancing safety within electric power companies (Janaćković et al, 2020). Scholars have proposed dynamic risk control strategies to assess the similarity between accident rankings, introducing methods utilizing case knowledge bases for case matching and reuse to address issues in accident analysis and decisionmaking (Hao et al, 2023;. These studies underscore the need for a comprehensive consideration of multiple factors in safety management within the electric power industry, suggesting diverse approaches and strategies to enhance workplace safety.…”

The Use of Weighted Euclidean Distance to Provide Assistance in the Selection of Safety Risk Prevention and Control Strategies for Major Railway Projects

“…The domain of ontology supports the conceptualization of a certain domain of knowledge, and the efficiency of searching, accumulating, and sharing knowledge will thereby be significantly improved, promoting knowledge sharing [9,21]. In recent years, ontology has been widely used in academia, usually in fields such as architecture [22,23], artificial intelligence (AI) [24,25], and biomedicine [26,27], and with functions such as decision-making [28][29][30] and knowledge management [31,32].…”