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公共场所客流聚集形成的群体性安全问题已成为城市安全管理重点关注的问题,利用人员密集场所的风险监测平台可有效对此类问题提前预警和预防。本文通过对密集场所进行客流聚集风险监测以及对多类监测数据融合算法的应用,可实时反应城市重点区域客流的聚集程度和风险等级,并提供预警和预测信息,为公共安全部门及时掌握城市重点区域客流情况并进行应急决策提供帮助支持。
The group safety problem caused by the aggregation of passenger flow in public places has become a major concern of urban safety management. The use of risk monitoring platforms in densely populated places can effectively prevent and early warning such problems. In this paper, the risk concentration of passenger flow in dense places and the application of multiple data fusion algorithms can reflect the degree of aggregation and risk level of passenger flow in key urban areas in real time and provide early warning and prediction information, which can help public security departments grasp the urban focus Regional passenger flow situation and make emergency decisions to provide help and support.