Parking space identification method, device and system based on Bluetooth RSSI

Abstract

The invention discloses a parking stall identification method, device and system based on a Bluetooth RSSI. The parking space identification method based on the Bluetooth RSSI comprises: acquiring more than two set index parameters including at least a Bluetooth slave RSSI strength index; comprehensively determining a to-be-connected Bluetooth slave according to the more than two set index parameters, wherein the to-be-connected Bluetooth slave is arranged in a parking space; and connecting the determined to-be-connected Bluetooth slave, and sending the vehicle information of the vehicle where the Bluetooth host is located to the connected Bluetooth slave. According to the technical scheme provided by the invention, the parking space identification accuracy can be effectively improved.

Description

technical field [0001] The invention relates to the technical field of Internet of Vehicles, in particular to a Bluetooth RSSI-based parking space recognition method, device and system. Background technique [0002] At present, with the continuous development and progress of automobile technology and Internet of Vehicles technology, the application of big data of Internet of Vehicles is gradually widespread. For example, various communication technologies and Internet of Vehicles data can be combined for parking space recognition. [0003] Methods for identifying parking spaces in the prior art include: image-based recognition, RFID (Radio Frequency Identification, radio frequency identification) recognition, and Bluetooth RSSI (Received Signal Strength Indication, received signal strength indication) recognition. Among them, the method of realizing parking space recognition based on image recognition includes: installing multiple cameras in the parking lot, and the cameras...

AI Technical Summary

Problems solved by technology

[0004] However, there are some defects in the above-mentioned methods in the prior art: 1) For the parking space recognition method based on the image recognition method, a large number of cameras usually need to be installed in the air to cover all the parking spaces, so its deployment cost is very high; License plate recognition also needs to develop very complex software and algorithms, and needs to use a processor with sufficient computing power, so its product cost is very high; in addition, image recognition has high requirements on the environment, and poor light or occlusion will affect the accuracy of recognition

Therefore, the method is complex in software, vulnerable to environmental influences, and high in hardware costs

2) For the parking space identification method based on RFID identification, generally the effective distance of RFID is relatively short, and there are requirements for the installation location. If the RFID tag of the vehicle is not aligned with the RFID reader of the parking space, it will not be recognized. RFID may also cause the RFID reader to read the RFID tags of multiple nearby vehicles at the same time, and cannot correctly determine which vehicle

Due to the use of RSSI ranging, it will be affected by many environmental factors, such as obstacle interference, electromagnetic wave interference, etc., so the accuracy of ranging is low, and the vehicle cannot identify parking spaces with little difference in distance

Therefore, this method has low ranging accuracy and fails to identify relatively close parking spaces

[0005] Therefore, the method of prior art, the accuracy of parking space recognition all needs to be improved

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