Accurate mining of location data in the communication field based on big data

IF 0.7 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of High Speed Networks Pub Date : 2021-01-01 DOI:10.3233/JHS-210665
G. Cai
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Abstract

In order to extract value from data, data mining and data software technology are widely used in the industry. This study mainly discusses the precise mining of location data in communication field based on big data. Signaling preprocessing layer mainly obtains signaling message through acquisition module, filters FISU message in signaling message, judges abnormal message frame, and stamp it with time stamp, which provides effective data source for next processing. Signaling access layer mainly completes the function of signaling link access, mainly using high resistance jumper technology, time slot convergence technology, optical access technology and 155mdxc conversion technology to access 2 m link and 155 m link respectively. The signaling collection module must collect directly or via a link through DXC in order to reach the front-end data collection machine and access the signaling collection module of the front-end machine. The Signaling Collection Module also completes some of the message processing work. The presentation layer is the window of human-computer interaction of the whole system, which presents to users with friendly interface and perfect functions. The main goal of real-time big data analysis is to obtain signaling data sent by signaling acquisition system, and screen out the effective information in signaling data according to monitoring conditions, and then analyze the final real-time monitoring results. Geographic information module provides visual map control for the regional monitoring big data analysis module. The difficulty of system development can be reduced by using the existing WebGIS map toolkit. When the call from the Customs Bureau of Unicom in different cities is called into the mobile gateway Bureau, the call is rejected by the mobile customs bureau. The call time is 0 seconds, of which the interception success rate is up to 90% within 1 s. This research is of great significance for the better development and maintenance of signaling network and monitoring system.
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基于大数据的通信领域位置数据的精准挖掘
为了从数据中提取价值,数据挖掘和数据软件技术在工业中得到了广泛的应用。本研究主要探讨基于大数据的通信领域位置数据的精准挖掘。信令预处理层主要通过采集模块获取信令报文,对信令报文中的FISU报文进行过滤,判断异常报文帧,并对其打上时间戳,为下一步处理提供有效的数据源。信令接入层主要完成信令链路接入的功能,主要采用高阻跳线技术、时隙汇聚技术、光接入技术和155mdxc转换技术分别接入2m链路和155m链路。信令采集模块必须通过DXC直接采集或通过链路采集,才能到达前端数据采集机并访问前端机的信令采集模块。信令采集模块还完成了部分消息处理工作。表示层是整个系统人机交互的窗口,以友好的界面和完善的功能呈现给用户。实时大数据分析的主要目标是获取信令采集系统发送的信令数据,并根据监测情况筛选出信令数据中的有效信息,然后分析最终的实时监测结果。地理信息模块为区域监控大数据分析模块提供可视化地图控制。利用现有的WebGIS地图工具包,可以降低系统开发的难度。当从不同城市的联通海关呼叫到移动网关局时,被移动海关拒绝。呼叫时间为0秒,1秒内拦截成功率高达90%。该研究对更好地开发和维护信号网络和监控系统具有重要意义。
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来源期刊
Journal of High Speed Networks
Journal of High Speed Networks Computer Science-Computer Networks and Communications
CiteScore
1.80
自引率
11.10%
发文量
26
期刊介绍: The Journal of High Speed Networks is an international archival journal, active since 1992, providing a publication vehicle for covering a large number of topics of interest in the high performance networking and communication area. Its audience includes researchers, managers as well as network designers and operators. The main goal will be to provide timely dissemination of information and scientific knowledge. The journal will publish contributed papers on novel research, survey and position papers on topics of current interest, technical notes, and short communications to report progress on long-term projects. Submissions to the Journal will be refereed consistently with the review process of leading technical journals, based on originality, significance, quality, and clarity. The journal will publish papers on a number of topics ranging from design to practical experiences with operational high performance/speed networks.
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