Design Of Intelligent Parking System For Underground Parking Based On Wechat Program

The rapid growth of the number of motor vehicles in China has caused the problem of parking difficulty.Although many large underground parking lots have been built in every city,they still can not meet the parking demand because of their complex layout and low parking efficiency.When the driver arrives at the destination,he is not familiar with the parking space distribution in the nearby parking lot.Not only will there be the problem of "first come,then stop" caused by the parking space preemption,but also the phenomenon of vehicles roaming in the parking lot or even searching for parking space on the road due to the ambiguity of the target parking space.This will not only waste the driver's time,reduce the parking efficiency of the parking lot,but also affect the smoothness of the road near the parking lot.Aiming at the problem of information data isolation and low parking efficiency in traditional parking lots,this paper designs an intelligent parking system based on Wechat applet,which realizes the functions of parking lot inquiry and navigation,short-time space prediction,parking reservation,parking recommendation,reverse car search,online payment,etc.In order to complete the design of this system,this paper mainly does the following work:(1)The questionnaire survey was used to collect the parking behavior data of the parking lot,and the influencing factors of the parking lot selected by the parking lot were analyzed.The walking distance,parking cost and parking lot number of the parking lot were significant factors,which laid the foundation for the functional design of the system.The basis of demand;(2)The system development platform,development language and related technologies are compared and analyzed.Finally,WeChat applet is selected as the development platform;WeChat WXSS,WXML,JavaScript and Python are used as system development languages;Wi Fi positioning technology and intelligent lock technology are used as technical support.;(3)According to the relationship between parking occupancy and historical data,the law of data development is inferred.The BP neural network is used to predict the short-term berth occupancy,and then the number of empty berths is calculated.By inputting the real data training model,the final prediction effect is achieved,and the algorithm support for the parking space prediction function of the system is provided;(4)Mathematical abstraction of parking space selection and induced problems,the optimal parking space is regarded as the shortest path problem,the Dijkstra model is used for case analysis,and the simulation check is carried out by MATLAB program.The main research contents of this paper are short-term berth prediction,parking optimal berth and optimal path algorithm,and the research results are applied to the design of intelligent parking system.In the system implementation,we built the server and designed the database by ourselves,and combined with the mature open interface requirements such as Tencent Map API provided by the Wechat applet.