摘要
针对目前已有的煤矿运维系统功能单一、自动化程度低等问题,将全文搜索引擎应用到煤矿运维系统中,通过搜索引擎从故障解决方案数据库中搜索出匹配的解决方案。介绍了煤矿运维系统流程及故障解决方案来源、数据结构和录入流程;通过对比选型,选择Elasticsearch作为煤矿运维系统的全文搜索引擎,并给出了其具体应用方法。实例分析及测试结果表明,该搜索引擎提供的搜索结果与告警内容所反映的故障相关度较高,能够为解决故障提供有效帮助。
In view of problems of single function and low degree of automation of existing coal mine operation and maintenance system, full-text search engine was applied to coal mine operation and maintenance system, and matching solutions were searched from fault solution database through the search engine. Flow of coal mine operation and maintenance system and source, data structure and entry process of fault solution were introduced. By comparing and selecting, Elasticsearch was selected as the full-text search engine of coal mine operation and maintenance system, and its specific application method was given. Example analysis and test results show that search results provided by the search engine are highly correlated with the faults reflected by the alarm content, which can provide effective help for solving the faults.
作者
孟峰
荆诚
MENG Feng;JING Cheng(Coal Industry Center, China Energy Group Corporation, Beijing 100011, China;CCTEG Changzhou Research Institute, Changzhou 213015, China;Tiandi (Changzhou) Automation Co., Ltd., Changzhou 213015, China)
出处
《工矿自动化》
北大核心
2019年第3期103-108,共6页
Journal Of Mine Automation
基金
天地(常州)自动化股份有限公司研发项目(2018GY002)
