基于信令的区域监控大数据分析系统的设计与实现

发布时间：2018-12-12 18:27

【摘要】：目前全国乃至全世界都对区域安全问题非常关注,各类区域监控技术随之迅速发展。在区域监控领域,国内应用比较广泛的是硬件视频设备和软件平台相结合的视频监控系统。但视频监控系统的硬件设备成本高,其监控区域有限,灵活度不高。本文研究基于信令的大数据分析技术以及实现区域监控的关键问题及技术,设计并实现了一套基于信令的区域监控大数据分析演示实验系统以验证技术可行性。这套系统提供了区域实时监控和区域历史搜索两种查询方式,提供了针对位置、人员、时间三个维度的信令分析功能。本系统信令数据来源于信令采集系统,信令采集系统从基于核心网的信令监测系统采集包含有Cell-ID的信令数据。区域监控大数据分析系统对用户划定的区域进行建模获得对应的Cell-ID和时间条件,然后从信令采集系统输出的信令数据中筛选出符合条件的数据,从而完成基于信令的区域监控。系统突破了原有Cell-ID定位技术已知Cell-ID进行正向定位获取用户所在位置的应用,提出了完整的圆形和多边形区域的建模方案,进行了 Cell-ID的反向筛选,将以经纬度坐标点标识的监控区域建模成Cell-ID集合,解决了区域监控中区域与信令关联的这一关键问题。系统采用大数据技术,基于Storm流式处理框架提出了一种实时通信方案,解决了区域实时监控时对海量实时信令流进行筛选的效率问题,采用非关系型数据库Hbase,并对原始HbaseAPI进行了改进封装,解决了进行区域历史搜索时,因数据量大造成的效率低的问题。相对于已存在的区域监控类系统,本系统不受硬件视频监控设备的限制,基于普及建设的运营商基站,可任意设定监控区域范围,且范围可变,建设系统需附加的成本较低。本文从区域监控系统的发展现状入手,介绍了本论文所描述的基于信令的区域监控大数据分析系统的背景知识,包括区域监控技术发展现状、信令采集系统、Redis及Hbase数据库等。之后分析了系统的需求、明确了系统功能划分。论文重点阐述了区域监控管理门户子系统、大数据实时分析子系统和大数据历史分析子系统的设计模型及其内部的业务流程实现。最后介绍了系统的测试情况,对全文以及作者研究生期间的学习和工作经历进行了总结,并对基于信令的区域监控大数据分析系统的未来发展进行了展望。
[Abstract]:At present, the whole country and even the whole world pay close attention to the regional security problem, and all kinds of regional monitoring technology develop rapidly. In the field of regional monitoring, the video surveillance system which combines hardware and software platform is widely used in China. However, the hardware cost of the video surveillance system is high, the monitoring area is limited and the flexibility is not high. This paper studies the analysis technology of big data based on signaling and the key problems and technologies of realizing regional monitoring, and designs and implements a set of demonstration experiment system based on signalling for the analysis and demonstration of regional monitoring, then verifies the feasibility of the technology. This system provides two kinds of query methods: real time monitoring and regional history searching. It also provides the signaling analysis function for the three dimensions of location, personnel and time. The signalling data of the system comes from the signalling acquisition system, which collects the signalling data containing Cell-ID from the signalling monitoring system based on the core network. The area monitoring big data analysis system models the area designated by the user to obtain the corresponding Cell-ID and time conditions, and then selects the qualified data from the signaling data output from the signaling acquisition system. Thus, the area monitoring based on signalling can be completed. The system broke through the application of the original Cell-ID location technology known as Cell-ID to obtain the user's location, and proposed a complete modeling scheme of circular and polygon regions, and carried out the reverse screening of Cell-ID. The monitoring region marked by longitude and latitude coordinate points is modeled as a Cell-ID set, which solves the key problem of the correlation between region and signaling in regional monitoring. Big data technology is used in the system, and a real-time communication scheme based on Storm streaming processing framework is proposed, which solves the efficiency problem of sifting mass real-time signaling flow in the real-time monitoring of the region, and adopts the non-relational database Hbase,. The original HbaseAPI is improved and encapsulated to solve the problem of low efficiency caused by large amount of data in regional history search. Compared with the existing regional monitoring system, the system is not limited by hardware video surveillance equipment. Based on the popular construction of the carrier base station, the monitoring area can be arbitrarily set, and the scope is variable, and the cost of building the system is low. Starting with the development of regional monitoring system, this paper introduces the background knowledge of the regional monitoring big data analysis system based on signaling described in this paper, including the development of regional monitoring technology, signaling acquisition system, Redis and Hbase database and so on. After that, the requirements of the system are analyzed, and the function division of the system is clarified. This paper focuses on the design model of the portal subsystem of regional monitoring and management, the real-time analysis subsystem of big data and the historical analysis subsystem of big data, as well as the implementation of internal business process. In the end, the paper introduces the testing situation of the system, summarizes the full text as well as the study and work experience of the author during the postgraduate period, and looks forward to the future development of the regional monitoring big data analysis system based on signalling.
【学位授予单位】：北京邮电大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TP311.13

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