| With the rapid development of national economy and technology,owning a private passenger car is no longer an unrealized dream.In view of the large population base in China,the number of passenger cars is also showing an explosive growth trend,The existing parking lot cannot meet the increasing demand for parking spaces in terms of quantity or size,The parking lot is developing in the direction of larger area and more entrances and exits,However,in large parking lots,the structure is complicated and the direction is difficult to distinguish,which makes it difficult for owners who return to look for their car to find their own parking space,which not only wastes time,but also reduces the user preference of the parking lot,Therefore,it is inevitable that there is a problem that the reverse car search is difficult.In order to solve the above problems,this paper proposes a large-scale parking lot intelligent reverse car-finding system based on the analysis and research of related technology development and application at home and abroad,It can help car owners to realize fast reverse search for cars without affecting the car owners entering and parking,the main content is as follows:This system is composed of parking space information collection terminal node,data concentrator,central server and Android reverse car search client.Use the ultrasonic ranging module in the parking space information collection terminal node to detect the parking space vehicle;The image sensor module is responsible for collecting parking space images and handing them over to the main control chip for recognition.The traditional license plate recognition method adds supplementary light enhancement processing,uses Retinex theory to give priority to the captured license plate images,and is simulated by the Matlab2014 a platform.Compare the traditional methods to prove that it has a better recognition effect;Equipped with the Zigbee module,the terminal nodes are networked,and then the parking space data is uploaded to the SQL Server database through the data concentrators installed in each partition of the large parking lot.Study and compare path planning algorithms,model and simulate different influencing factors as weights,and finally use Dijkstra’s algorithm based on time as weights to realize the shortest path analysis.Develop and implement a large-scale parking lot management system on the PC side through the Visual studio software platform to assist the staff in managing the parking lot.Design the Android client,publish the parking lot map as a service through Arc GIS for Server,and deploy Arc GIS for Android in Android Studio to access map data,After locating the starting point and ending point in the Android client,the vehicle owner can realize the reverse vehicle search through the Android phone.The proposal of this system has a promoting effect on the existing smart parking lot solutions,which can effectively save the time of car owners searching for cars,realize that the reverse car search is safe,intelligent and efficient,and the parking lot is supervised through the large parking lot management system,It has great practical significance. |