Based on AI and cloud-edge collaborative technology, the functions of data acquisition and access, data preprocessing, cloud management, edge computing, fusion analysis, delay control, data filtering, platform docking and other functions of sensing equipment (railway integrated video surveillance system camera and newly added blind-supplementing camera, millimeter-wave radar, laser radar, Beidou GNSS, vibrating optical cable, etc.) are realized, and an intelligent Internet of Things application platform of railway "multi-perception, heterogeneous fusion, grid linkage and on-demand push" is built.
Use video, radar, vibrating optical fiber, Beidou GNSS, water level gauge, rain gauge and other detection and monitoring means to collect multi-source sensing data.
Support multiple communication protocol access, protocol expansion and plug-in protocol analysis, meet the requirements of various devices and access scenarios, and meet the docking of third-party platforms.
According to the alarm information, the existing sensing equipment in the work area is controlled to check, so as to realize zero false alarm and low false alarm.
According to the ownership unit, influence scope and hazard level caused by the relevant equipment of early warning information, it is classified and pushed as needed.
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