Through big data collection and analysis, the user, area, route, direction, time, scene are together into a whole body.Based on the high-speed railway user identification, user location, driving direction identification, etc.,it can judge the high risk area that the high-speed railway users separate from and the public network users invade.Locate the abnormal events, and construct the quality evaluation system of high-speed railway based on multi-dimensional algorithm.Then it achieves precision monitor and quality analysis of network.And it improves the service aware of the high-speed railway user.%通过大数据的采集及分析将用户、小区、路线、方向、时间、场景六维度汇聚成一整体,基于高铁用户身份识别、用户定位、乘车方向识别等,实现高铁用户脱网/公网用户入侵高风险区域的判断,对异常事件进行定位分析,并构造基于多维度算法的高铁专网质量评估体系,实现全方面的精准监控与质量分析,以提升高铁用户业务感知.
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