Only the intelligence that users feel personally is intelligence. Leting Butler deeply analyzes the pain points of the industry, breaks the chaos in the industry, devotes itself to bringing the ultimate experience to users from the perspective of the whole process of user parking, and creatively proposes a heuristic parking space recommendation algorithm based on the user's destination, a shared navigation mode, and a parking space blind box and a merchant's exclusive parking space mode, making car owners' parking a fun experience. Le stop housekeeper, open the new pattern of intelligent parking industry, so that parking is no longer troublesome. The system considers the whole process of user parking and optimizes the whole process of user parking. The system takes the user terminal as the core and optimizes the user parking experience as the purpose. The initial platform data set is quickly built through the user terminal, thus relying on the advantages of big data and cloud platform to realize efficient management of regional parking data. The system adopts hierarchical design, the regional management system is the top-level design, the parking management system is the second-level design, the owner terminal and the merchant terminal are the third-level design, and the parking information and vehicle information collection system is the bottom-level design. Decoupling is achieved between each functional module, and data transmission channels are formed between each layer. Hierarchical design, for different layers of managers, give different permissions, in the convenience of each part of the management, but also to ensure the user's privacy security. User terminals are mainly divided into user destination heuristic parking space recommendation and guidance system, indoor and outdoor integrated navigation system, shared navigation system. Merchant terminals are mainly divided into parking blind boxes, merchant-exclusive parking systems, and shared navigation systems. Parking management system: Garage managers can efficiently manage and analyze traffic flow and parking information through the big data platform. The hardware layer completes the license plate collection, the display of the induced information, the detection of the parking space and the collection of the position information of the parking space. Upload data from the device layer to the data layer, and issue execution commands from the data layer to the device layer. The data layer is used to store, organize, and manage data, provide data models, perform data processing, and upload entity data to the business application layer. The business application layer takes the user target heuristic parking space recommendation system as the core, including parking space advance perception, indoor and outdoor integrated navigation, reverse car search, parking blind box, shared navigation, merchant-specific parking space, etc. The business application layer completes the specific business logic, realizes the various functions of the system, and generates the data required for the view. The presentation layer generates a view based on the processing result of the business application layer to complete the interaction with the user.