A system and method for counting customer flow in shopping malls
A technology for passenger flow and shopping malls, which is applied to services based on location information and services based on specific environments. It can solve the problems of statistical shopping mall passenger flow, which cannot be realized, and achieve real positioning, improve accuracy, and reduce consumption of big data resources. Effect
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Embodiment 1
[0054] Such as figure 1 As shown, a system for counting passenger flow in shopping malls includes an active room sub-base station 1, a positioning engine 2, a data analysis engine 3, a SAAS server 4 and a cloud platform 5, and the active room sub-base station 1 and the positioning engine 2 pass SCTP protocol communication connection. The positioning engine 2 is communicated with the data analysis engine 3 through the AMQP protocol. The data analysis engine 3 is connected to the SAAS server 4 through the HTTP protocol. The SAAS server 4 communicates with the cloud platform 5 through the HTTP protocol.
[0055] The active room sub-base station 1 is used to report the mobile phone positioning signal information based on the remote radio frequency unit to the positioning engine 2 in real time; the active room sub-base station 1 reports the mobile phone positioning signal information based on the remote radio unit, wherein the mobile phone positioning signal information The acqu...
Embodiment 2
[0071] Such as Figure 4As shown, corresponding to Embodiment 1 of the present invention, Embodiment 2 of the present invention also provides a method for counting passenger flow in shopping malls, the method comprising:
[0072] Step S1: The active indoor sub-base station 1 reports the mobile phone positioning signal information based on the remote radio frequency unit to the positioning engine 2 in real time;
[0073] Step S2: The positioning engine 2 obtains the user's position information based on the map according to the reported mobile phone positioning signal information, and reports it to the data analysis engine 3 every preset time interval; the position information includes the user's mobile phone IP address, map coordinates and time stamp; The preset time interval is 2-4 seconds, and this embodiment adopts 2 seconds.
[0074] Step S3: The data analysis engine 3 performs user identification mapping in the mobile hadoop cluster, and maps the user's mobile phone IP to...
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