Construction Of Campus Intelligent Parking System Based On FLASK

In recent years,car ownership is increasing year by year.It has become more and more difficult to find a vacant parking space in a short time,and the problem of "parking difficulty" is becoming more and more serious.In the case that the number of parking spaces cannot be greatly increased,how to effectively use the parking space resources has become the focus of current research.Relying on the key scientific and technological research and development project of Jilin Province " the construction of urban parking intelligent service platform based on Internet of Vehicles ",this paper takes campus as the pilot,simulating the city situation in campus,designing and developing campus intelligent parking system,trying to realize the intelligent parking.This system adopts the technology and concept of hot spot to intelligentize the existing parking lot.Firstly,the lightweight flash framework is used as the server,and the front part of the website is completed by Jin Ja2 template engine to ensure the effective transmission of data in the intelligent parking system.Secondly,the data of parking lot and parking space are collected and analyzed.The corresponding data table structure is designed and stored in the relational database My SQL Finally,combined with Ajax technology,the real-time data refresh of local page is realized,and the rapid response of website foreground to data is completed.After completing the function of the intelligent parking system,this paper first proposes the problem of excessive load on the My SQL database caused by frequent reading of data at the front desk of the website.In order to solve this problem,Redis database which is suitable for fast reading and writing is introduced based on memory storage.Hot data which needs to be read frequently is put into Redis,which solves the problem of excessive load of My SQL database.Meanwhile,the persistence mechanism of Redis is used to ensure the persistence of data.Secondly,the remote communication function between the geomagnetic node and the server is designed,and the remote call protocol is reliably realized by using RPy C.Finally,the problem of server overload caused by a large amount of data interaction is introduced,the advantages and disadvantages of different load balancing algorithms combined with the system are introduced,and the load balancing strategy in line with the characteristics of the system is formulated.In this paper,the intelligent parking system is imaged by docker and uploaded to the remote warehouse,which greatly increases the deployment efficiency of the intelligent parking system in different environments.After the test is successful,deploy the system to Alibaba cloud server to ensure the uninterrupted operation of the system.Through the relevant experiments in the campus,it is proved that the campus intelligent parking system can monitor the parking information and effectively realize the intelligent parking.