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Household WiFi prediction method and device, electronic equipment and storage medium

A prediction method and family technology, applied in electrical components, services based on location information, transmission monitoring, etc., can solve problems such as complex matching process, and achieve the effect of simplifying positioning process, optimizing user experience, and precise matching

Active Publication Date: 2019-12-24
GUANGDONG XIAOTIANCAI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present application provide a home WiFi prediction method, device, electronic equipment, and storage medium, which can solve the problem of complex matching processes between existing mobile terminal equipment and home WiFi, and achieve more accurate matching between mobile terminals and home WiFi

Method used

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  • Household WiFi prediction method and device, electronic equipment and storage medium
  • Household WiFi prediction method and device, electronic equipment and storage medium
  • Household WiFi prediction method and device, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] figure 1 A flow chart of a home WiFi prediction method provided in Embodiment 1 of the present application is given. The home WiFi prediction method provided in this embodiment can be executed by a home WiFi prediction device, and the home WiFi prediction device can use software and / or hardware Realized in a manner, the home WiFi prediction device may be composed of two or more physical entities, or may be composed of one physical entity. Generally speaking, the home WiFi prediction device may be a mobile terminal device such as a mobile phone, a tablet, or a phone watch.

[0042]The following description will be made by taking the home WiFi prediction device as an example for executing the home WiFi prediction method. refer to figure 1 , the family WiFi prediction method specifically includes:

[0043] S110. Collect WiFi data at several set times, and generate several mac lists, the mac list includes several WiFi signal sources, and the set time is selected accordin...

Embodiment 2

[0071] On the basis of the above examples, figure 2 It is a flow chart of another home WiFi prediction method provided in Embodiment 2 of the present application. refer to figure 2 , the home WiFi prediction method provided in this embodiment specifically includes:

[0072] S210. Collect WiFi data at several set moments, and generate several mac lists, the mac list includes several WiFi signal sources, and the set moments are selected according to the period of time when the device position state is fixed;

[0073] S220. Analyze each of the mac lists to obtain signal strength information corresponding to each of the WiFi signal sources at each of the set moments;

[0074] S230. Calculate each WiFi signal source as a prediction score of the home WiFi to which the current mobile terminal device belongs based on the signal strength information, and determine the home WiFi to which the current mobile terminal device belongs according to the prediction score;

[0075] S240. Co...

Embodiment 3

[0083] On the basis of the above examples, Figure 4 It is a schematic structural diagram of a home WiFi prediction device provided in Embodiment 3 of the present application. refer to Figure 4 , the home WiFi prediction device provided in this embodiment specifically includes: a collection module 31 , an analysis module 32 and a prediction module 33 .

[0084] Wherein, the acquisition module 31 is used to collect WiFi data at several set moments, and generates several mac lists, the mac list includes several WiFi signal sources, and the set moments are selected according to the fixed period of the device position state;

[0085] The parsing module 32 is used to parse each of the mac lists to obtain signal strength information corresponding to each of the WiFi signal sources at each of the set moments;

[0086] The prediction module 33 is configured to calculate the prediction score of each WiFi signal source as the home WiFi to which the current mobile terminal device belo...

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Abstract

The embodiment of the invention discloses a household WiFi prediction method and a device, electronic equipment and a storage medium. The method comprises the steps of collecting WiFi data at a plurality of set moments, generating a plurality of mac lists, the mac lists comprise a plurality of WiFi signal sources, and the set moments are selected according to the fixed time period of the equipmentposition state; analyzing each mac list to obtain signal intensity information corresponding to each WiFi signal source at each set moment; and based on the signal intensity information, calculatinga prediction score of each WiFi signal source as the home WiFi to which the current mobile terminal device belongs, and determining the home WiFi to which the current mobile terminal device belongs according to the prediction score. Compared with the prior art, the method has the advantages that the matching relationship between the mobile terminal equipment and the home WiFi does not need to be manually input, automatic prediction of the home WiFi is realized, accurate matching between the mobile terminal equipment and the home WiFi is realized, and the use experience of a user is further optimized.

Description

technical field [0001] The embodiments of the present application relate to the technical field of indoor positioning, and in particular to a home WiFi prediction method, device, electronic equipment, and storage medium. Background technique [0002] At present, with the development and optimization of mobile terminal equipment, its functions are also becoming more and more perfect. Usually, the mobile terminal equipment is integrated with a GPS module to realize the positioning function of the mobile terminal equipment. The current location of the user of the mobile terminal device can be known through the GPS, and then corresponding application functions can be realized. [0003] However, the existing GPS positioning method has relatively low positioning accuracy, and in an indoor environment, the GPS signal is relatively weak, which cannot meet the high-precision positioning requirements of buildings and floors in the indoor environment. For this reason, in an indoor en...

Claims

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Application Information

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IPC IPC(8): H04W4/02H04W4/33H04W24/08H04W64/00H04B17/318
CPCH04W4/023H04W24/08H04W64/006H04B17/318H04W4/33
Inventor 王宁君马胡双
Owner GUANGDONG XIAOTIANCAI TECH CO LTD
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