建设工程事故应急预案是应急管理的重要组成部分，但传统文本式预案在信息查询的效率和精准性方面存在不足。鉴于此，提出了一种基于知识图谱技术的建设工程事故应急预案构建与智能应用方法。依据知识抽取原理，分析应急预案文本的结构特征，结合规则与语言技术平台，设计实体和关系联合抽取策略，以实现关键信息的抽取，并利用Neo4j图数据库进行知识图谱的存储和管理。围绕应急处置的关键环节开展案例验证，结果表明，所构建的知识图谱能快速匹配应急措施，支持高效查询、统计和智能问答，有助于提升应急管理知识的利用效率与智能化水平。

The emergency plan for construction accidents is an important part of emergency management, but traditional text-based plans have limitations in the efficiency and accuracy of information retrieval. In view of this, a construction and intelligent application method for emergency plans for construction engineering accidents based on knowledge graph technology was proposed. According to the principle of knowledge extraction, the structural characteristics of emergency plan texts were analyzed, and the entity and relationship joint extraction strategy was designed by integrating rule and language technology platform to extract key information. The Neo4j graph database was used to store and manage the knowledge graph. Case verification was carried out around the key links of emergency response. The results show that the constructed knowledge graph can quickly match emergency measures, support efficient query, statistics and intelligent question and answer, and help improve the utilization efficiency and intelligence level of emergency management knowledge.