基于知识图谱的建筑工程施工事故智能分析*

为预防和减少建筑工程施工事故，应用人工智能领域知识图谱技术,对建筑工程施工事故进行分析。通过定义领域知识图谱概念体系结构，从建筑工程施工事故数据中提取关键知识要素，构建建筑工程施工事故知识图谱，将其储存在Neo4j图数据库中，并提出基于知识图谱的建筑工程施工事故分析流程，针对事故相关信息开展查询、统计分析以及关联路径分析等智能分析。研究结果表明:基于知识图谱技术，将建筑工程施工事故知识以可视化图形或表格等进行展示，将事故信息以知识形式结构化存储及表达，可有效提高事故分析工作效率，为事故预防以及安全管理提供决策支持。

Intelligent analysis of construction accidents in construction engineering based on knowledge graph

To prevent and reduce the construction accidents in construction engineering,the knowledge graph technology in the field of artificial intelligence was used to analyze the construction accidents.The conceptual system architecture of the domain knowledge graph was defined,and the key knowledge elements were extracted from the construction accident data.The knowledge graph of construction accidents was established and stored in the Neo4j graph database,and the accident analysis process based on the knowledge graph of construction accidents was proposed to carry out the intelligent analysis,such as query,statistical analysis and correlation path analysis on the accident-related information.The results showed that based on the knowledge graph technology,the construction accident knowledge of construction engineering could be displayed in the visual graphics or tables,and the accident information could be stored and expressed in the structured knowledge form.It can provide theoretical support for accident prevention,improve the efficiency of accident analysis,and provide innovative ideas and decision support for safety management.