Abstract: With the continuous expansion of urban rail transit networks, the drawbacks of separate construction between public security and operational video surveillance systems have become prominent. The systems cannot be shared, resulting in resource wasting. The interfacing between platforms is difficult, the structure of the networks is complex, and the expansion of the systems is not easy. Starting from the service objects and usage functions of the video surveillance system in rail transit, this paper analyzes the conditions for deep integration in rail transit, and establishes the scheme of online sharing platform for video surveillance in rail transit, to build a two-level platform including the line network level and the line level. The public security sub-bureaus, police stations and line network operation and commanding centers are considered as users of the online sharing platform, while the station police offices and line operation and dispatching centers are taken as users of the line platform, to achieve deep sharing between video surveillance systems for public security and operations, simplify the network structure, and reduce the platform interfacing times. At the same time, the proposed sharing platform scheme creates conditions for building relatively independent facial analysis and comparison system for operations and public security, to achieve their respective facial data application functions.

Key words: video surveillance, online sharing platform, video private network, facial recognition, smart metro

摘要： 城市轨道交通线网规模不断扩大，公安视频监控与运营视频监控分开建设的弊端凸显，系统不能共享，造成资源浪费，平台之间对接难、网络复杂、不易扩容。从轨道交通视频监控系统服务对象以及使用功能着手，分析得出轨道交通具备深度融合的条件，通过建设轨道交通视频监控联网共享平台的方案，构建线网、线路两级平台，将公安分局、派出所以及线网运营指挥中心作为联网共享平台用户，车站警务室、线路运营调度作为线路平台用户，实现公安与运营深度共享视频监控系统，简化网络结构，减少平台对接次数；同时，共享平台的方案为构建运营和公安相对独立的人脸分析比对系统创造条件，实现各自的人脸数据应用功能。

关键词: 视频监控, 联网共享平台, 视频专网, 人脸识别, 智慧地铁