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Beacon equipment loss probability calculation method and device, equipment and storage medium

A loss probability and calculation method technology, applied in the field of inspection, can solve the problem of Beacon equipment consuming a lot of manpower, etc., to achieve the effect of improving user experience and improving effect

Active Publication Date: 2021-07-09
深圳市前海智车科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a method, device, equipment and storage medium for calculating the loss probability of Beacon equipment, which is used to solve the problem of whether the Beacon equipment is lost or not. Labor-intensive problems

Method used

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  • Beacon equipment loss probability calculation method and device, equipment and storage medium
  • Beacon equipment loss probability calculation method and device, equipment and storage medium
  • Beacon equipment loss probability calculation method and device, equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0048] like figure 1 , see figure 2 , which shows the implementation flow of the method for calculating the loss probability of a Beacon device provided by Embodiment 1 of the present invention. For the convenience of description, only the parts related to the embodiment of the present invention are shown, and the details are as follows:

[0049] Step S101: Obtain the device parameters of all deployed Beacon devices stored in the cloud center server, the device parameters include uuid, major, minor, mac address, power, time and location, with the mac address as the unique distinguishing mark, for deployed Beacon devices Beacon devices are numbered one by one, numbered as 0, 1, 2...n-1, and the parameter set of deployed Beacon devices is recorded as: A={A i |0≤i<n};

[0050] Step S102: Obtain the device parameters of the scanned Beacon devices uploaded by the positioning and navigation APP to the cloud center server, and use the mac address as the unique distinguishing mark ...

Embodiment 2

[0091] image 3 It shows a schematic structural diagram of a device for calculating the loss probability of a Beacon device provided by an embodiment of the present invention. For the convenience of description, only the parts related to the embodiment of the present invention are shown, including:

[0092] The obtaining module 201 is used to obtain the device parameters of the deployed Beacon device and the device parameters of the Beacon device scanned by the positioning and navigation APP from the cloud central server;

[0093] The time correlation module 202 is used to establish a correlation model in which the parameters of any Beacon device are associated with the parameters of other Beacon devices in the space at a time angle;

[0094] The spatial correlation module 203 is used to establish a correlation model in which the parameters of any Beacon device are associated with the parameters of other Beacon devices in the space;

[0095] The loss probability statistics mo...

Embodiment 3

[0098] Figure 4 A schematic structural diagram of a calculation device for the loss probability of a Beacon device provided by an embodiment of the present invention is shown. For ease of description, only parts related to the embodiment of the present invention are shown, including:

[0099] In an embodiment of the present invention, a device is provided, including a memory 301, a processor 302, and a computer program 303 stored in the memory and operable on the processor. When the computer program is executed by the processor, the aforementioned Beacon device is lost. The steps in the embodiment of the calculation method of probability, for example, figure 1 Steps S101 to S104 are shown. Or, when the computer program is executed by the processor, the functions of each module in the above-mentioned Beacon device loss probability calculation device are realized, for example, image 3 Modules 201 to 204 are shown.

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Abstract

The invention is applicable to the technical field of inspection, and provides a Beacon equipment loss probability algorithm, which comprises the following steps: establishing a loss probability model of Beacon equipment by associating time relevancy and space relevancy of the Beacon equipment, and calculating the loss probability of the Beacon equipment through the loss probability model. According to the invention, the maintenance inspection personnel can conveniently and specifically go to the field for detection according to the loss probability of the Beacon equipment, so that the Beacon equipment can be supplemented in time, a large amount of manpower is saved, and the indoor positioning effect and the user experience are improved.

Description

technical field [0001] The invention belongs to the technical field of inspection, and in particular relates to a calculation method, device, equipment and storage medium for the loss probability of Beacon equipment. Background technique [0002] In the indoor positioning method, the positioning accuracy of the indoor Beacon depends on the deployed Beacon devices. If some of the deployed Beacon devices are lost, the positioning effect and navigation user experience will be seriously affected. Timely replenishment of the lost Beacon devices is essential for maintenance and An important task of inspection. Traditional Beacon equipment inspections require professional inspection and maintenance personnel to carry terminal devices with customized APPs to the actual site for inspection one by one. The inspection process will consume a lot of manpower, especially for indoor buildings with a large number of Beacon devices that need to be maintained and inspected. The resource cons...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/13G06F30/20G06F111/08G06F119/12
CPCG06F30/13G06F30/20G06F2111/08G06F2119/12Y02D30/70
Inventor 杨斌刘宇飞
Owner 深圳市前海智车科技有限公司