基于BIM的多尺度建筑消防信息检索方法研究

提出一种面向BIM 数据的多尺度建筑消防信息检索方法。首先利用知识图谱技术构建一个全面、可查询的建筑消防语义图谱，提高数据的可理解性；然后通过自然语言处理技术，对查询语句进行分词和语义消歧，实体识别和句法分析，识别查询意图，构建查询的逻辑表达式；最终映射到不同尺度对应的查询模板，实现多尺度信息检索。实验结果表明，所提多尺度方法在多尺度信息检索上可实现0.929 的查准率和0.795 的查全率，在单尺度信息检索（设备检索）上较现有基于关键词的方法提升0.293 准确率和0.240 的查全率，推动了新型消防管理系统检索能力的优化和升级。

Research on multi scale building fire information retrieval method based on BIM

 The study proposes a multi- scale building fire information retrieval method for BIM data. Firstly, a comprehensive and searchable semantic graph of building fire protection is constructed by using knowledge Graph technology to improve the comprehensibility of data; then, through natural language processing technology, the query statements are segmented and semantically disambiguated, entity recognition and syntactic analysis are carried out to identify the query intention, and the logical form of query is constructed; finally, it is mapped to the query template corresponding to different scales to achieve multilevel scale information retrieval. The experimental results show that the proposed multi- scale information retrieval method can achieve 0.929 precision and 0.795 recall rate in multi- scale information retrieval, and improve the accuracy rate of 0.293 and recall rate of 0.240 in single scale information retrieval (equipment retrieval) compared with the existing keyword based methods, which promotes the optimization and upgrading of the retrieval ability of the new fire management system.