Abstract: In order to address the problems facing current network monitoring, including low automation, lack of monitoring samples and inability to directly monitor operating equipment, a CIR-based wireless network monitoring method was proposed, which collected data of equipment identification, location information and wireless indicators in real time without affecting performance of existing equipment. Then, a comprehensive intelligent analysis platform was constructed to intelligently analyze monitoring data from two dimensions of network and equipment by using encapsulation and geographic information visualization technology. The results show that the proposed method realizes on-line monitoring of 100 pairs of train operation equipment in the whole line, and shortens the cycle of network monitoring and analysis from one month to one day. Adopting advanced technologies like data encapsulation to simplify process and computing load of big data analysis and replace traditional manual analysis can comprehensively improve quality of network monitoring and provide support for safe operation of Shuohuang railway.

Key words: cab integrated radio communication equipment (CIR), network monitoring, long term evolution-railway (LTE-R), encapsulation, intelligent analysis