Personnel management and control method and system based on machine learning

A machine learning and human technology, applied in machine learning, instruments, alarms, etc., can solve problems such as low efficiency and inaccurate activity status, achieve high work efficiency, improve management and control efficiency, and maintain social stability.

Inactive Publication Date: 2020-10-16
武汉众智数字技术有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to overcome the inaccurate and inefficient problems of using multi-dimensional big data to analyze the activity status of personnel in police investigation work in the prior art

Method used

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  • Personnel management and control method and system based on machine learning
  • Personnel management and control method and system based on machine learning
  • Personnel management and control method and system based on machine learning

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Embodiment Construction

[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0042] In describing the present invention, it is to be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", The orientations or positional relationships indicated by "top", "bottom", "inner", "outer", etc. are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than in...

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Abstract

The invention provides a personnel management and control method and system based on machine learning. The method comprises the following steps of S1, building a personnel archive which comprises necessary personnel identities and data collection identities, S2, acquiring real-time data acquired by a base station provided by a police internal operator and real-time data acquired by front-end equipment, and cleaning and filtering the data to obtain non-repetitive and non-abnormal personnel training data, S3, based on the personnel archive data obtained in the step S1 and the training data obtained in the step S2, performing model training based on an unsupervised isolated forest method to obtain an anomaly detection model, S4, based on the training model in the step S3, carrying out real-time prediction alarm through a flow calculation engine, displaying early warning information through GIS visualization in a layered manner, and sending the early warning information to police officersfor disposal feedback, and S5, automatically updating and correcting the model based on the police officer disposal feedback information in the step S4. The judgment result is accurate, the function of multi-dimensional mass data of the police system is fully played, and the working efficiency is high.

Description

technical field [0001] The invention belongs to the technical field of Internet of Things big data, and in particular relates to a method and system for personnel management and control based on machine learning. Background technique [0002] With the rapid development of modern social economy and network, the city's front-end sensing equipment is constantly improving, and massive data from multiple dimensions are gathered into the police system. Relying on relevant data, personnel location information can be obtained. Based on this type of investigation and control work, there are the following shortcomings : [0003] 1. The efficiency of naked eye recognition is low and the workload is heavy; [0004] 2. The role of massive multi-dimensional data cannot be fully utilized; [0005] 3. Failure to make full use of computers to automatically analyze data and provide real-time alarms for relevant behavioral patterns; [0006] Therefore, it is necessary to mine a new method o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08B21/02G06N20/00
CPCG08B21/02G06N20/00
Inventor 汪远铠廖乔治
Owner 武汉众智数字技术有限公司
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