Design And Practice Of Parking Guidance And Information System In Underground Parking Lot Based On Technology Of Internet Of Things

The parking lot guidance system based on modern information technology has become an effective method to solve the parking problem.Unstable communication,high cost of development and construction,and complicated installation are key factors restricting the popularization of modern parking space guidance systems in underground parking lots.In order to solve the problems of uneven signal distribution in the underground environment,large communication fluctuations,complex reverse car-searching coordination and high cost,this thesis builds an embedded license plate recognition based on WSN+NB-IoT and resource limitation.The parking lot guidance system in the underground parking lot realizes two main functions of free parking space guidance and reverse car-searching.It has the characteristics of stable communication,simple installation,low cost and convenient use The main contents of this article are as follows:(1)Facing the demand of free parking space guidance and reverse car-searching in underground parking,this thesis proposes a parking space guidance system that uses the WSN+NB-IoT network architecture to deal with the complex underground communication environment and uses the terminal node license plate recognition to simplify the reverse car-searching mechanism.The solution has the characteristics of stable communication,simple installation,low cost and convenient interaction.(2)For the problem of large communication fluctuations in the underground parking lot environment,the terminal WSN+NB-IoT wireless communication is adaptively optimized For the parking space guidance application scenario,the ZigBee protocol structure is adaptively optimized to improve WSN communication stability and reduce communication delay,design packet retransmission mechanism and node health check mechanism,and further reduce terminal WSN+NB-IoT wireless communication fluctuations,Improve the stability of data interaction between the terminal and the server.(3)Aiming at the problems of high cost and complicated coordination in traditional reverse car-searching,this thesis proposes a framework for achieving license plate recognition on low-resource nodes.The framework optimizes the LeNet-5 model for character recognition to adapt to the license plate recognition scene and reduce resource consumption.Combined with image preprocessing and character segmentation technologies,the low-cost license plate recognition is finally achieved at the information collection node,which lays the data foundation for reverse car-searching(4)In order to improve the convenience of the parking space guidance system interaction,the WeChat terminal parking space guidance applet is designed to provide users with free parking space guidance and reverse car-searching function.Finally,based on the above research,a low-cost,stable communication,flexible installation,and convenient use of underground parking space guidance system has been realized.Practice shows that the guidance system functions normal.The rate of success is 99.1%,and the accuracy of the parking space status information can reach 100%.The research goal is achieved,which can provide a reference for the laying of modern parking space guidance systems.