Intelligent indoor parking area parking space recommendation system for large building
A recommendation system and parking lot technology, applied in the field of three-dimensional navigation, can solve the problems of failure to recommend parking schemes and parking inconvenience, and achieve the effect of effective parking navigation and positioning services
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Embodiment 1
[0035] refer to figure 1 , the present invention provides an indoor parking lot intelligent recommendation system for large buildings, the system includes a mobile intelligent terminal 1, an intelligent recommendation client 2, an ibeacon base station 3, a parking space monitor 4 and a cloud server 5.
[0036] The smart recommendation client 2 runs on a mobile smart terminal 1, and the mobile smart terminal 1 is a mobile smart device such as a smart phone or a tablet computer.
[0037] The ibeacon base station 3 is located in various places in the parking lot, and sends bluetooth signals to the outside at fixed time intervals.
[0038] The mobile intelligent terminal 1 communicates with the ibeacon base station 3 through Bluetooth, and obtains the Bluetooth signals of several ibeacon base stations 3 adjacent to the mobile intelligent terminal 1 at regular intervals, and the Bluetooth signal carries the coordinates and signal strength of the ibeacon base station 3 Value data, ...
Embodiment 2
[0059] On the basis of the above embodiments, this embodiment sets a parking lot scene to explain the working principle of the present invention.
[0060] refer to image 3 , there are ten parking spaces numbered CW001-CW010 in the parking lot at -1F of the shopping mall, among which the parking spaces numbered CW001, CW002, CW005, CW009, and CW010 are already occupied. It is assumed that the destination of the user who is looking for a parking space is located in Shop 07 on the 3F of the mall, such as Figure 4 shown.
[0061] After the user drives the vehicle into the parking lot, he opens the smart recommendation client 2 installed on the mobile smart terminal 1, and the smart recommendation client 2 accesses the cloud server 5 through the wireless network to obtain the three-dimensional map data package and the dynamic information data of the parking space of the shopping mall. The dynamic information data of the parking space is shown in Table 1.
[0062] Table 1 Parki...
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