基于Storm的涉油气犯罪实时检测系统的研究与应用  

Research and application of monitoring system for oil and gas related crimes based on Storm

作　　者：张丽华[1] 李宏博[1] 王健[1] 张伟民[2] 李欣欣 李娟[1] 邵国强[1] ZHANG Lihua;LI Hongbo;WANG Jian;ZHANG Weimin;LI Xinxin;LI Juan;SHAO Guoqiang(School of Computer Science and Information Technology,Daqing Normal University,Daqing Heilongjiang 163712,China;Daqing Oilfield Co.,Ltd.,Oil Testing and Production Test Branch,Daqing Heilongjiang 163712,China)

机构地区：[1]大庆师范学院计算机科学与信息技术学院,黑龙江大庆163712 [2]大庆油田有限责任公司试油试采分公司,黑龙江大庆163712

出　　处：《智能计算机与应用》2023年第7期123-127,共5页Intelligent Computer and Applications

基　　金：大庆市哲学社会科学规划研究项目(DSGB2023102);黑龙江省教育教学改革一般项目(SJGY20220630);黑龙江省哲学社会科学规划研究项目(22TQE428)。

摘　　要：针对重点涉油气企业犯罪人群分布特性,构建一个分析模型至关重要。通过对比分析、经验总结及仿真实验等研究方法来全局掌握涉犯罪人群热度指数、分布密度等因素,并借助服务器和Storm等相关技术搭建数据处理平台,再基于Logstash构建热力图,对数据具体位置结果进行判定,实现最终的设计及体系架构。经过本次构建研究,可以更精准地监测犯罪者,预判涉油气行业,尤其是在未来涉油气犯罪的总体趋势,充分发挥了数据处理的实时性,为涉油气企业资源犯罪的防控提供了相应的参考依据与保障。It is very important to construct an analysis model according to the distribution characteristics of key criminal groups involved in oil and gas enterprises.Through comparative analysis,experience summary,simulation experiment and other research methods,crime related population heat index,distribution density and other factors are globally grasped,and with the help of the server and related technologies such as Storm,a data processing platform is built,after that based on Logstash to build heat map,the specific location results of the data could be determined,therefore the final design and architecture is realized.Through this construction research,the criminals can be more accurately monitored and predicted,especially the general trend of oil and gas related crimes in the future,which could give full play to the real-time data processing and provide the corresponding reference basis and guarantee for the prevention and control of resource crimes related to oil and gas enterprises.

关 键 词：大数据处理 Storm技术 Logstash 热力图 实时检测 

分 类 号：TN929.5[电子电信—通信与信息系统]