Design And Implementation Of Passenger Flow Statistical Analysis System Based On Wifi Detection Data

Passenger flow statistical analysis technology based on WiFi detection technology has become one of the mainstream solutions for offline passenger flow statistical analysis.Multi-dimensional statistical analysis and visualization of the passenger flow data detected by WiFi can provide valuable help to store merchants,venues operators and advertisers' decision-making.Existing data statistical analysis techniques usually target specific online scenarios and are difficult to be customized with the offline traffic data detected by WiFi.Therefore,we need to design a passenger flow statistical analysis system for statistical analysis of data and custom visualization,and to meet the needs of the user's customization.In this context,this paper designs and implements the passenger flow statistical analysis system to provide users with functions such as real-time monitoring of passenger flow,multi-dimensional custom queries of historical passenger flow,user equipment management,real-time passenger flow forecasting and multi-screen adaptation.As a SaaS platform,this platform can provide businesses with a complete range of services from staff,equipment management to real-time monitoring and forecasting of passenger flow,which can bring valuable help to the business decision of the merchants and venues operators.In this paper,the functional requirements of the platform are analyzed first,and the architecture and technology selection of the system are carried out.In the part of traffic forecasting and multi-screen adaptation,the existing technical solutions are improved.Then based on the overall design,the functional requirements,process design and implementation of key code are analyzed in detail for each business module from the data storage layer,logic control layer and view layer of the system.Finally,we test and analyze the passenger flow statistical analysis system from each basic function module,system optimization point,system performance and compatibility.The test results show that the system realizes the requirement of the passenger flow statistical analysis system,the real-time prediction of passenger flow and the optimization scheme of multi-screen adaptation also have good effects.