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作 者:李凯雷 赵海武[1] 王国中[1] 范涛[1] Li Kailei;Zhao Haiwu;Wang Guozhong;Fan Tao(School of Communication and Information Engineering,Shanghai University,Shanghai 200444,China)
机构地区:[1]上海大学通信与信息工程学院
出 处:《电子测量技术》2018年第17期138-141,共4页Electronic Measurement Technology
摘 要:为提高人员密集的公共场所应对拥堵和恐慌等突发事件发生时的响应速度,提出了一种基于WiFi探针的人流量异常自动预警系统。WiFi探针可以捕获到探测区域内有WiFi功能的智能设备的MAC地址信息,并能以此反映出当前区域内的人流情况。采用架设在人流经过区域的WiFi探针来捕获区域内的智能设备的MAC地址,并通过网络回传给服务器。服务器对数据进行处理并根据自动更新的历史数据来作出是否有异常情况发生的判断,最后将异常信息发送给播送设备进行报警。实验验证表明,系统在人流量异常变化时可以及时有效的触发预警。In order to improve the responsiveness of people-intensive public places to respond to emergencies such as congestion and panic,an automatic warning system based on WiFi probe was proposed.The WiFi probe can capture the MAC address information of smart devices with WiFi function in the detection area,and can reflect the current situation of the flow in the current area.A WiFi probe set up in the area where people pass through is used to capture the MAC address of the smart device in the area and pass it back to the server through the network.The server processes the data and makes a judgment based on automatically updated historical data as to whether or not an abnormal situation has occurred.Finally,the abnormal information is sent to the broadcast device for alarm.Experimental verification shows that the system can promptly and effectively trigger early warning when the traffic flow changes abnormally.
分 类 号:TN99[电子电信—信号与信息处理]
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