Law enforcement officer scheduling method and system, computer device and storage medium

A law enforcement personnel and scheduling method technology, applied in the field of big data analysis, can solve the problems of wasting resources of law enforcement personnel, rigid allocation and scheduling of law enforcement personnel, and inability to allocate law enforcement personnel for people's livelihood demands, so as to achieve convenient service, realize distribution and utilization, The effect of improving efficiency

Pending Publication Date: 2022-01-11
SHENZHEN TECH UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the allocation and scheduling of law enforcement personnel to deal with people's livelihood appeals is relatively rigid, and it is impossible to flexibly and reasonably allocate the number of law enforcement personnel to people's livelihood appeals, resulting in a waste of law enforcement resources.

Method used

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  • Law enforcement officer scheduling method and system, computer device and storage medium
  • Law enforcement officer scheduling method and system, computer device and storage medium
  • Law enforcement officer scheduling method and system, computer device and storage medium

Examples

Experimental program
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Effect test

Embodiment 1

[0038] In this embodiment, the law enforcement personnel scheduling method based on big data analysis of people's livelihood appeals is realized under the background of "Internet + government services". With the development of society, people can send appeals to the government in various ways. For example, through phone calls, government service websites, government service APPs, etc. to feed back information to the government, the government can rationally use big data technology to collect the information and appeals of the masses, and dig out the data of people's livelihood appeals from multiple dimensions and in-depth, effectively Provide necessary data support for service-oriented government governance.

[0039] This embodiment provides a law enforcement personnel scheduling method based on the big data analysis of people's livelihood demands, which is to analyze and process the acquired big data of people's livelihood demands to mine necessary data, and evaluate a reasona...

Embodiment 2

[0056] In this embodiment, by compiling the law enforcement personnel scheduling method based on the big data analysis of people's livelihood demands in Example 1 into a computer program, and writing the computer program into the computer hardware, a law enforcement personnel scheduling system based on the big data analysis of people's livelihood demands can be obtained , computer devices and storage media.

[0057] The law enforcement personnel dispatching system based on big data analysis of people's livelihood demands includes:

[0058] The first module is used to obtain data on people's livelihood appeals, and the data on people's livelihood appeals includes the event type and time of occurrence of people's livelihood appeals;

[0059] The second module is used to predict the development trend of people's livelihood demands according to the data of people's livelihood demands;

[0060] The third module is used to determine the reference value of corresponding law enforcem...

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PUM

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Abstract

The invention discloses a law enforcement officer scheduling method and system based on livelihood appeal big data analysis, a computer device and a storage medium. The scheduling method comprises the following steps: acquiring livelihood appeal data, wherein the livelihood appeal data comprises event types and occurrence time of livelihood appeals; predicting a livelihood appeal development trend according to the livelihood appeal data; determining a reference value of a corresponding law enforcement officer according to the development trend of the livelihood appeal; and scheduling and distributing the law enforcement officers according to the reference values of the law enforcement officers. The scheduling method also comprises other steps. The acquired livelihood appeal data are analyzed to obtain the livelihood appeal development trend, and the number of law enforcement officers required for processing the livelihood appeal is calculated according to the development trend, so that personnel scheduling is optimized, and the livelihood appeal is better solved and served. The invention is widely applied to the field of big data analysis.

Description

technical field [0001] The invention relates to the field of big data analysis, in particular to a method, system, computer device and storage medium for dispatching law enforcement personnel based on big data analysis of people's livelihood demands. Background technique [0002] With the development of big data technology, the country advocates and vigorously develops the digitization and intelligence of government services, rationally uses big data analysis technology, and digs out the data of people's livelihood demands from multiple dimensions and deep levels, which can effectively provide the necessary data support for service-oriented government governance. . At present, the allocation and scheduling of law enforcement personnel to deal with people's livelihood appeals is relatively rigid, and it is impossible to flexibly and reasonably allocate the number of law enforcement personnel to people's livelihood appeals, resulting in a waste of law enforcement resources. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/18
CPCG06Q10/06315G06Q50/18
Inventor 梁立新沈永安林霖赵建
Owner SHENZHEN TECH UNIV
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