A method, device and system for parking space identification based on bluetooth rssi

Abstract

The invention discloses a parking space identification method, device and system based on bluetooth RSSI. The method for identifying parking spaces based on Bluetooth RSSI includes: acquiring at least two or more set index parameters including a Bluetooth slave RSSI strength index; comprehensively determining the Bluetooth slave to be connected according to the two or more set index parameters, wherein The bluetooth slave to be connected is set in the parking space; the determined bluetooth slave to be connected is connected, and the vehicle information of the vehicle where the bluetooth host is located is sent to the connected bluetooth slave. The technical scheme provided by the present invention can effectively improve the accuracy of parking space identification.

Description

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

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

Images