摘要
朔黄铁路公司为保障本公司LTE-R网络的顺利运行,需要按计划对LTE网络进行维护,并对维护过程中收集的数据进行分析,以排查网络中可能出现的问题。目前,数据分析大多通过人工的方式来进行,效率低下且很难获取故障发生位置的地理及基站分布情况。同时,由于数据总量巨大,传统的数据存储及处理方法很难满足数据的存储及分析需求。针对这种情况,研究并实现了一个基于天地图的通讯运维大数据分析系统。实际应用表明,该系统能够直观、形象地展示出铁路沿线通信网络的整体情况,并能对常见的通信故障进行排查,大大提升了朔黄铁路公司通信运维的效率,具有较高的实用价值。
To ensure the trouble-free operation of the company’s LTE-R network,the Shuohuang Railway Company needs to maintain the communication situation of LTE network as planned,and analyzes the data collected in the maintenance process to find communication problems.At present,most of the data analysis is carried out manually,which is inefficient and difficult to obtain the geographical and base station distribution of the location where the fault occurred.Moreover,due to the huge amount of data,traditional data storage and processing methods are difficult to meet the demand of data storage and analysis.In view of this situation,this paper puts forward an analysis system of Tianditu communication operation based on big data.The practical application shows that the system can intuitively and vividly demonstrate the overall situation of the railway communication network,and carry out the investigation of communication failures.The analysis system greatly enhances the efficiency and communication operation of Shuohuang Railway Company,and has high practical value.
作者
胡跃华
Hu Yuehua(Shuohuang Railway Company Suning Branch,Suning 062350,China)
出处
《石家庄铁道大学学报（自然科学版）》
2019年第1期98-103,120,共7页
Journal of Shijiazhuang Tiedao University(Natural Science Edition)
