Based On GMR Sensor And IoT Cloud Platform Design Of Parking Space Detection System

With the rapid development of the national economy,the number of cars has increased year by year,which makes it difficult to balance the demand and supply of parking spaces.Parking has become a problem that people urgently need to solve.In order to improve the use efficiency of parking spaces and alleviate the problem of difficult parking,the intelligent parking space detection system has become a current research hotspot.The intelligent parking space detection system is of great significance to alleviate the problem of difficult parking.This thesis designs and implements a parking space detection system based on the combination of giant magnetoresistance(GMR)sensor and Io T cloud platform.Through Zig Bee wireless networking,the parking space status is transmitted to the cloud platform through the gateway,which can realize real-time monitoring of the parking space status,Monitoring and management.The main work of the thesis are as follows:(1)Compare and analyze various parking space detection technologies,short-range wireless communication technologies,detection algorithm technologies,and Internet of Things development technologies,select geomagnetic detection technologies for existing detection schemes,and select the ones with reduced baseline drift and self-adaptation,the state machine algorithm improves the accuracy of parking space detection.(2)The overall design of the system based on the GMR sensor detection technology and Zig Bee wireless communication technology is carried out,and the device selection and research are carried out according to the actual parking space detection application scenarios,and the design of the hardware circuit schematic diagram,PCB design,and parking space are completed.The detection terminal can accurately detect the parking space status,and has the advantages of low power consumption and low cost.(3)Develop the display terminal on the China Mobile Internet of Things cloud platform,complete the docking of the mobile Internet of Things cloud platform,and realize the communication between the parking space detection terminal and the cloud platform.(4)Using JAVA technology,the data acquisition software of the host computer is developed and realized,which can collect and detect the voltage change of the parking space of the terminal in real time,and provide an accurate guarantee for the algorithm to select the appropriate threshold value.This thesis tests the hardware and software of the parking space detection system based on the GMR sensor and the Io T cloud platform,and tests the functions of the parking space detection terminal and the parking space detection platform respectively.On this basis,the joint test of the entire system is completed.,the test results show that the functions of the parking space detection system can meet the expected requirements.