全文搜索引擎在煤矿运维系统中的应用
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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.
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.
引文
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[18]常建秋,沈炜.基于字符串匹配的中文分词算法的研究[J].工业控制计算机,2016,29(2):115-116.CHANG Jianqiu,SHEN Wei.Research on Chinese word segmentation algorithm based on string matching[J].Industrial Control Computer,2016,29(2):115-116.
[2]王莉.智慧矿山概念及关键技术探讨[J].工矿自动化,2014,40(6):37-41.WANG Li.Study on concept and key technologies of smart mine[J].Industry and Mine Automation,2014,40(6):37-41.
[3]张旭平,赵甫胤,孙彦景.基于物联网的智慧矿山安全生产模型研究[J].煤炭工程,2012,44(10):123-125.ZHANG Xuping,ZHAO Fuyin,SUN Yanjing.Study on safety production model of intelligent mine base on Internet of things[J].Coal Engineering,2012,44(10):123-125.
[4]吕鹏飞,何敏,陈晓晶,等.智慧矿山发展与展望[J].工矿自动化,2018,44(9):84-88.LYU Pengfei,HE Min,CHEN Xiaojing,et al.Development and prospect of wisdom mine[J].Industry and Mine Automation,2018,44(9):84-88.
[5]谭章禄,陈晓.煤炭企业信息化建设现状及发展对策探讨[J].工矿自动化,2016,42(7):63-65.TAN Zhanglu,CHEN Xiao.Discussion on situation and development countermeasures of coal enterprise informatization construction[J].Industry and Mine Automation,2016,42(7):63-65.
[6]王泽安.煤炭企业信息化现状及发展趋势研究[J].煤炭工程,2015,47(2):146-148.WANG Ze'an.Research on current situation and development trend of coal enterprise informatization[J].Coal Engineering,2015,47(2):146-148.
[7]马昆,高顶,包慧玲.煤矿信息化现状及其发展探讨[J].煤矿机械,2011,32(3):10-12.MA Kun,GAO Ding,BAO Huiling.Discussion on coal informatization condition and development[J].Coal Mine Machinery,2011,32(3):10-12.
[8]邹燕飞,于成尊,赵亮.基于Lucene的文本搜索引擎的设计和实现[J].计算机与现代化,2011(9):40-42.ZOU Yanfei,YU Chengzun,ZHAO Liang.Design and implementation of text search engine based on Lucene[J].Computer and Modernization,2011(9):40-42.
[9]于天恩.Lucene搜索引擎开发权威经典[M].北京:中国铁道出版社,2013.
[10]周敬才,胡华平,岳虹.基于Lucene全文检索系统的设计与实现[J].计算机工程与科学,2015,37(2):252-256.ZHOU Jingcai,HU Huaping,YUE Hong.Design and implementation of Lucene-based full-text retrieval system[J].Computer Engineering&Science,2015,37(2):252-256.
[11]张建中,黄艳飞,熊拥军.基于ElasticSearch的数字图书馆检索系统[J].计算机与现代化,2015(6):69-73.ZHANG Jianzhong,HUANG Yanfei,XIONGYongjun.Digital library retrieval system based on ElasticSearch[J].Computer and Modernization,2015(6):69-73.
[12]王小森.基于Solr的搜索引擎的设计与实现[D].北京:北京邮电大学,2011.
[13]邹敏昊.基于Lucene的HBase全文检索功能的设计与实现[D].南京:南京大学,2013.
[14]王伟,魏乐,刘文清,等.基于ElasticSearch的分布式全文搜索系统[J].电子科技,2018,31(8):56-59.WANG Wei,WEI Le,LIU Wenqing,et al.Design and implementation on distributed full-text search system based on ElasticSearch[J].Electronic Science and Technology,2018,31(8):56-59.
[15]郑榕增,林世平.基于Lucene的中文倒排索引技术的研究[J].计算机技术与发展,2010,20(3):80-83.ZHENG Rongzeng,LIN Shiping.Research of Chinese full texts inverted index based on Lucene[J].Computer Technology and Development,2010,20(3):80-83.
[16]马旸,蔡冰.大数据环境下Lucene性能优化方法研究[J].南京理工大学学报(自然科学版),2015,39(3):260-265.MA Yang,CAI Bing.Performance optimization method of Lucene in big data[J].Journal of Nanjing University of Science and Technology,2015,39(3):260-265.
[17]义天鹏,陈启安.基于Lucene的中文分析器分词性能比较研究[J].计算机工程,2012,38(22):279-282.YI Tianpeng,CHEN Qi'an.Comparison research of segmentation performance for Chinese analyzers based on Lucene[J].Computer Engineering,2012,38(22):279-282.
[18]常建秋,沈炜.基于字符串匹配的中文分词算法的研究[J].工业控制计算机,2016,29(2):115-116.CHANG Jianqiu,SHEN Wei.Research on Chinese word segmentation algorithm based on string matching[J].Industrial Control Computer,2016,29(2):115-116.
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