Community personnel flow prediction method and system, storage medium and equipment

A technology of people flow and prediction method, which is applied in the direction of prediction, neural learning methods, instruments, etc., can solve the problem of not being closer to the actual community flow of people, affecting community access control and human resource allocation, and reducing the accuracy of community people flow prediction results and other problems, to achieve the effect of enhancing nonlinear expression ability, strong computing performance, and improving accuracy

Pending Publication Date: 2021-02-19
SHANDONG JIANZHU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The inventors found that the traditional community flow prediction does not take into account the above external factors, the non-linear expression ability is not strong, and it cannot be closer to the actual community flow situation, which reduces the accuracy of community flow prediction results and affects the control of community access control and human resource allocation

Method used

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  • Community personnel flow prediction method and system, storage medium and equipment
  • Community personnel flow prediction method and system, storage medium and equipment
  • Community personnel flow prediction method and system, storage medium and equipment

Examples

Experimental program
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Effect test

Embodiment 1

[0040] refer to figure 1 , a method for predicting the flow of people in a community according to this embodiment, which includes:

[0041] S101: Obtain data related to the flow of community personnel in a historical time period adjacent to the time period to be tested; the data related to the flow of community personnel includes flow quantity, flow direction, and data of external influencing factors.

[0042] In the specific implementation, the data related to the flow of people in the community includes but not limited to the number of people entering the community, the reasons for people entering the community, the number of people leaving the community, the reasons for people leaving the community, the daily meteorological data of the community, traffic status data, weekends and holidays and other specific time data.

[0043] Among them, the community's daily weather data, traffic data, weekends and holidays and other specific time data belong to the data of external fact...

Embodiment 2

[0099] This embodiment provides a system for predicting the flow of people in a community, which includes:

[0100] A data acquisition module, which is used to obtain data related to the flow of community personnel in a historical time period adjacent to the time period to be tested; the data related to the flow of community personnel includes flow quantity, flow direction and external influence factor data;

[0101] A mode decomposition module, which is used to preprocess the data related to the flow of people in the community in the historical time period by using the variational mode decomposition method, and extract multiple eigenmode components and residual components;

[0102] Flow prediction module, which is used to input the eigenmode component into the time series model and output the initial community flow prediction result, input the residual component into the residual prediction model and output the prediction result of the external influence of the community flow,...

Embodiment 3

[0105] This embodiment provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the steps in the method for predicting the flow of people in a community as described in the first embodiment above are implemented.

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Abstract

The invention belongs to the technical field of personnel flow prediction, and provides a community personnel flow prediction method and system, a storage medium and equipment. The community personnelflow prediction method comprises the steps of obtaining community personnel flow related data in a historical time period adjacent to a to-be-tested time period, wherein the community personnel flowrelated data comprises flow quantity, flow direction and external influence factor data; preprocessing the community personnel flow related data in the historical time period by adopting a variationalmode decomposition method, and extracting a plurality of intrinsic mode components and residual components; inputting the intrinsic mode component into a time sequence model and outputting an initialcommunity personnel flow prediction result, inputting the residual component into an allowance prediction model and outputting a community personnel flow external influence prediction result, superposing the initial community personnel flow prediction result and the community personnel flow external influence prediction result, and obtaining a final community personnel flow prediction result. Thecommunity personnel flow prediction precision and resource allocation can be improved.

Description

technical field [0001] The invention belongs to the technical field of personnel flow prediction, and in particular relates to a community personnel flow prediction method, system, storage medium and equipment. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] As a fixed living area for human beings, a community generally has a relatively stable pattern of social and economic activities, especially in the distribution of time and space with certain regularity, such as commuting to and from get off work, going to and from school, evening dinners, weekend shopping and outings, etc. , will bring periodic crowd flow peaks; but at the same time, the flow of crowds is also affected by many external factors, such as weather conditions, traffic conditions, weekends and specific holidays and other factors. The inventors found that the traditional com...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/26G06N3/04G06N3/08
CPCG06Q10/04G06Q50/26G06N3/08G06N3/044G06N3/045
Inventor 汪明谢浩田逯广浩张宜阳常征卫正
Owner SHANDONG JIANZHU UNIV
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