Research Of Magnetic Detection Algorithm And The Design And Implementation Of Parking Lot Vehicle Detection System

In recent years,the urban transport infrastructure has been continuous develop,followed by urban traffic problems become more prominent,such as air pollution,road traffic jams,accidents,etc.These frequently problems worth our attention and must take relatively effective method to change the status of urban transport.Effective solutions to change this situation is to establish a sound intelligent traffic management system in the relevant traffic control department.Geomagnetic sensor is a new means of detection,by detecting changes in the magnetic field strength sensing range to determine whether the vehicle is present.There are four parts of work content for the vehicle geomagnetism detection of this article:1.Analyzed the demand of the magnetic resistance vehicle detection algorithm.Through research,studied the vehicle detection system based on terrestrial magnetic sensor research status at home and abroad,expound the magnetic sensor detection principle,analyze the factors affecting the accuracy of vehicle detection;2.Researched and improved the vehicle detection algorithm.Research is mainly focused on the vehicle detection algorithm of adaptive threshold and the state machine,and on the basis of this algorithm we studied the vehicle detection algorithm based on the Haar wavelet transform and multiple state machine detection algorithm based on variance.Proposed a detection algorithm based on the standard deviation of iterative threshold state machine,using MATLAB platform to complete the implementation of the algorithm.Experimental results show the proposed algorithm has high detection accuracy.At the same time combined with the vehicle detection system in this paper,put forward a method of gathering node synergy judgment,to improve the accuracy of detection;3.Completed the parking lot detection system design.First of all gave the overall design of system and the overall network structure.Then the detection node design,details the detection node design,communication protocol and the node software design.At last completed the upper machine design,analyzes the functions of PC demand and the process of upper machine,completed the framework design and database design;4.Completed the implementation and testing of parking lot detection system.First of all completed the implementation and testing of sensor nodes,data transceiver test analysis and complete node energy consumption analysis.Then completed the PC implementation and testing of the system.At last used the algorithm design in the second part in vehicle detection system,and experiments have been carried out to test in a real environment,the experimental results show that the algorithm of this paper in the detection accuracy is improved;Intelligent transportation system is still in the research and development stage,the research achievements of this paper can be in a certain extent alleviate the pressure of road traffic,convenient management and decision-making of road conditions for traffic department,which has important social significance and broad application prospects.