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基于ElasticSearch的重复报警识别系统设计与实现 被引量:2

Design and Implementation of Repeated Call Recognition System Based on ElasticSearch
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摘要 为了解决接处警工作中存在大量重复报警和传统数据库检索效率低下、匹配度单一等问题,设计并实现一种以ElasticSearch全文检索技术为核心,结合LogStash、Redis、SpringBoot等技术的重复报警识别系统。该系统利用LogStash工具将原始数据从MySQL同步到ElasticSearch中,使用Redis缓存用户信息与热点数据,采用SpringBoot实现后端数据读取,通过VUE框架进行前端结果展示。测试结果表明,该系统相比传统数据库在检索响应时间方面有明显缩短,显著提高了相似警情的识别能力,可为接警员及时发现重复报警提供支撑。 In order to solve the problems of a large number of repeated calls,low efficiency of traditional database retrieval and single matching in the computer aided dispatch(CAD)system,a repeated call recognition is designed and built with ElasticSearch technology as the core and combined with LogStash,Redis,SpringBoot and other technologies.The system uses the LogStash to synchronize the original data from MySQL to ElasticSearch,uses Redis to cache user information and hot data,uses SpringbBoot to get data from database.The search results are displayed by using the VUE framework.The test results show that the system has significantly shortened the retrieval response time compared with the traditional database,significantly improved the recognition ability of similar cases,and can provide support for police officers to detect repeated calls in time.
作者 相银堂 祁骏 许锦程 郭乔进 Xiang Yintang
出处 《工业控制计算机》 2021年第1期90-92,95,共4页 Industrial Control Computer
关键词 ElasticSearch 重复报警 Redis LogStash 接处警 ElasticSearch repeated call Redis LogStash computer aided dispatch system
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  • 1陈细谦,迟忠先,金妮.城市地理编码系统应用与研究[J].计算机工程,2004,30(23):50-52. 被引量:29
  • 2李晓光,王大玲,于戈.基于统计语言模型的信息检索[J].计算机科学,2005,32(8):124-127. 被引量:9
  • 3王贺封.时空数据模型及TGIS研究[J].测绘与空间地理信息,2006,29(4):11-13. 被引量:25
  • 4GRANLUND M. Extending AIS research to manage- ment accounting and control issues: a research note [J]. International Journal of Accounting Information Systems,2011,12(1) :3-19. 被引量:1
  • 5VODAS M, PELEKIS N, THEODORIDIS Y, et al. Efficient AIS data processing for environmentally safe shipping[EB/OL].[2015-03-15]. http://slideplayer. com/slide/5869588/. 被引量:1
  • 6SARWAT M, BAO J, ELDAWY A, et al. Sindbad: a location-based social networking system[C]//Proceed- ings of the 2012 ACM Sigmod International Conference on Management of Data. [S. 1. -] ..ACM,2012 ..649-652. 被引量:1
  • 7RANA R,HU W,WARK T,et al. An adaptive algo- rithm for compressive approximation of trajectory (AACAT) for delay tolerant networks [EB/OL]. [2015-03-15]. http://www, cse. unsw. edu. au/wenh/ rana_aacat, pdf. 被引量:1
  • 8CUDRE-MAUROUX P,WU E,MADDEN S. TrajS- tore an adaptive storage system for very large trajecto- ry data sets[C]//IEEE 26th International Conference on Data Engineering (ICDE). Long Beach.. IEEE, 2010109-120. 被引量:1
  • 9LI Z H,DING B,HAN J W,et al. Swarm.. mining re- laxed temporal moving object clusters[J]. Proceedings of the VLDB Endowment, 2010,3 (1) .. 723-734. 被引量:1
  • 10张林曼,吴升.地理编码系统中地址匹配引擎的设计与实现[J].测绘信息与工程,2008,33(6):12-14. 被引量:20

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