为解决用户在现有搜索引擎上难以检索到专业和全面的安全生产隐患知识的问题，提出一种安全生产隐患数据的挖掘方法和针对安全生产隐患的智能搜索引擎系统的设计方法。结果表明：对于用户的搜索，系统能够直接反馈智能化查询结果，包括：隐患内容、隐患来源、隐患的行业，隐患场所、法规标准、事故信息等数据以及数据之间的关联关系。给出的示例和结果图表，说明了这种数据挖掘方法的有效性；对相关智能搜索引擎系统的组成、工作原理及实现方式的阐述，说明了系统设计方法的有效性，可为安全生产隐患智能搜索引擎系统的设计与开发提供参考。%In order to solve the problem that it is difficult for users to search the professional and comprehensive knowledge of potential work safety hazard on the existing search engines, a mining method of potential work safety hazard data and a design method of intelligent search engine system against potential work safety hazard were proposed. The results showed that the system can directly feedback the intelligent query results for the user's search, including the data about content, source, in-dustry and site of potential hazard, the regulations and standards, and the accident information as well as the association rela-tion between the data. The examples and result charts given in this article indicates the effectiveness of such data mining method, and the statement about the composition, working principle and implementation method of the intelligent search en-gine system indicates the effectiveness of the system design method. It can provide reference for the design and development of the intelligent search engine system against potential work safety hazard.
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