Research On Magnetic-based Vehicle Detection System Of Curb Parking

Since the beginning of the new century,China’s urbanization process has been accelerating,the social wealth is increasing rapidly and urban vehicle inventory is also growing year by year.According to statistics,every five families have a car in China.Car brings convenience to people’s travel,but at the same time it also brings serious traffic problems.This has not only restricted the further development of the city,but also affected the life quality of the residents seriously.Parking problem is urgent to be solved in many traffic problems.However,there are many defects in the traditional parking lot,such as hard to find parking spaces,low efficiency and difficulty in management.The development of intelligent traffic and wireless sensor networks brings a new solution to the parking problem.Based on the existing technology,this paper makes a research on the vehicle detection system of the intelligent curb parking.This paper analyzes the existing vehicle detection methods,and designs a vehicle detection system based on AMR magneto resistance sensor according to the characteristics of curb parking.The system is mainly composed of three parts,which are vehicle geomagnetic signal detection,acquisition of vehicle identity information and wireless communication network.HMC5883 L magneto resistance sensor is used to detect the geomagnetic signal of vehicle,it can detect the disturbance of the vehicle to ground magnetic field signal and determine the type and existence of a vehicle by the corresponding algorithm;The acquisition of vehicle identity information based on RFID technology,the detection node wakes up the electronic tag of the vehicle and communicates with it to obtain the identity information;The wireless communication network transmits the data of each detecting node to the base station through forming the ZigBee tree type network.And the base station sends the data information to the backstage server through GPRS wireless communication.This paper analyzes the characteristics of the output signal of the reluctance sensor used in vehicle detection and pretreats the signal;Using MATLAB/Simulink toolbox to build finite-state machine algorithm model based on single node data and fusion algorithm model based on multi node data,and carries out simulation result;Using MATLAB/Simulink toolbox to build the algorithm of vehicle recognition,and obtain accuracy by sample data.This paper analyses the functional requirements of the hardware and software system,determines the hardware structure of each function module and designs the circuit principle according to the current application and technical background.Through the analysis of the parking process,design the working process of the system.A vehicle data detection platform is built to analyses the characteristics of the output curve of the detection node installed in different locations and angles.Finally,determine the optimal installation method of detecting node;According to different parking condition this paper designs experiment to analyze the characteristics and changes of the detection signal;Test the detection accuracy of vehicle type identification by experiment.Design a system experiment to realize the process from data acquisition,parking judgment to PC display,and verify the feasibility of the system.