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A confidence-based Bluetooth positioning method, device, device and system

A bluetooth positioning and confidence technology, applied in location information-based services, transmission systems, wireless communications, etc., can solve problems such as cost increase, inaccuracy, and fingerprint database failure, and achieve cost increase, cost reduction, and accuracy improvement The effect of speed and ease of use

Active Publication Date: 2021-08-03
GUANGZHOU HKUST FOK YING TUNG RES INST
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, for the first scheme, because the signal strength is greatly affected by environmental factors (temperature, humidity, physical occlusion, etc.), the actual distance value calculated by it is also extremely unstable and inaccurate; for the second scheme In this solution, the sample collection cost is extremely high when training the database, and any indoor scene change / re-segmentation will cause the fingerprint database in this area to fail, and it is necessary to collect and train again, resulting in an increase in cost

Method used

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  • A confidence-based Bluetooth positioning method, device, device and system
  • A confidence-based Bluetooth positioning method, device, device and system
  • A confidence-based Bluetooth positioning method, device, device and system

Examples

Experimental program
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Embodiment 1

[0030] see figure 1 , figure 1 It is a flowchart of a confidence-based Bluetooth positioning method provided by an embodiment of the present invention; including:

[0031] S1. Obtain the Bluetooth signals of several detected Bluetooth nodes within a preset time; wherein, the Bluetooth signals are greater than the preset signal strength;

[0032] S2. According to the detected Bluetooth signal of each Bluetooth node, search for the corresponding pre-divided adjacent node group; wherein, the adjacent node group uses any Bluetooth node as the central node, including the central node and several adjacent nodes within the preset range of the central node;

[0033] S3. Take the ratio of the number of the adjacent nodes whose Bluetooth signal can be detected in the adjacent node group to the number of the adjacent nodes in the adjacent node group as the current confidence of the Bluetooth node Spend;

[0034] S4. Calculate the weight of the Bluetooth node according to the detected...

Embodiment 2

[0053] see figure 2 , figure 2 It is a schematic structural diagram of a confidence-based Bluetooth positioning device 10 provided by an embodiment of the present invention; including:

[0054] The signal detection unit 11 is used to acquire the bluetooth signals of several bluetooth nodes detected within the preset time; wherein, the bluetooth signal is greater than the preset signal strength;

[0055] The adjacent node group search unit 12 is used to search for the corresponding pre-divided adjacent node group according to the detected Bluetooth signal of each Bluetooth node; wherein, the adjacent node group is defined by any Bluetooth node a central node, including the central node and several adjacent nodes within the preset range of the central node;

[0056] Confidence acquisition unit 13, configured to take the ratio of the number of the adjacent nodes whose Bluetooth signal can be detected in the adjacent node group to the number of the adjacent nodes in the adjace...

Embodiment 3

[0076] see image 3 , image 3 It is a schematic structural diagram of a confidence-based Bluetooth positioning device 20 provided by an embodiment of the present invention; the confidence-based Bluetooth positioning device 20 of this embodiment includes: a processor 21, a memory 22, and a device stored in the memory 22 and A computer program that can run on the processor 21. When the processor 21 executes the computer program, it implements the steps in the above embodiments of the confidence-based Bluetooth positioning method, for example figure 1 Steps S1-S4 are shown. Alternatively, when the processor 21 executes the computer program, it realizes the functions of the modules / units in the above-mentioned device embodiments, such as the signal detection unit 11 .

[0077] Exemplarily, the computer program can be divided into one or more modules / units, and the one or more modules / units are stored in the memory 22 and executed by the processor 21 to complete this invention...

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PUM

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Abstract

The invention discloses a bluetooth positioning method based on confidence, which includes: obtaining the bluetooth signals of several bluetooth nodes detected within a preset time; according to the bluetooth signals of each bluetooth node detected, searching for the corresponding pre-set The divided adjacent node group; take the ratio of the number of the adjacent nodes whose Bluetooth signal can be detected in the adjacent node group to the number of the adjacent nodes in the adjacent node group as the current Confidence of the bluetooth node; calculating the weight of the bluetooth node according to the detected bluetooth signal strength and the confidence of the bluetooth node, and calculating the positioning coordinates according to the weight of the bluetooth node. The embodiment of the invention also discloses a confidence-based bluetooth positioning device, equipment and system. By adopting the embodiment of the present invention, the accuracy and ease of use can be improved, the need for data collection in the early stage to train the database can be eliminated, and the cost can be reduced.

Description

technical field [0001] The invention relates to bluetooth positioning technology, in particular to a confidence-based bluetooth positioning method, device, equipment and system. Background technique [0002] With the rapid development of the city, large buildings such as large underground parking lots and shopping centers continue to emerge. In the aforementioned indoor environment, people hope to quickly determine their location and find their desired destination. The confidence-based Bluetooth positioning technology used in the prior art includes the following two types. One is to collect the signal strength value of the Bluetooth node online by the smart terminal and directly establish the relationship between the signal strength and the actual distance through some mapping methods such as fitting; The second is to store the fingerprint vector data of the offline Bluetooth module of the smart terminal to obtain the fingerprint-position mapping database resource during tr...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W4/02H04W64/00H04W4/021H04B17/318H04W4/80
Inventor 张骁张弢高民陈辞王周红
Owner GUANGZHOU HKUST FOK YING TUNG RES INST