An artificial intelligence-based employee status monitoring system

A state monitoring system and artificial intelligence technology, applied in diagnostic recording/measurement, instrumentation, data processing applications, etc., can solve problems such as low accuracy of judgment results, inability to meet safety production requirements, poor real-time performance, etc.

Active Publication Date: 2021-09-14
YGSOFT INC
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In view of the above analysis, the embodiment of the present invention aims to provide an employee status monitoring system based on artificial intelligence, which is used to solve the problem of strong subjectivity, poor real-time performance, low accuracy of judgment results and inability to meet safety production requirements in the prior art. asked questions

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • An artificial intelligence-based employee status monitoring system
  • An artificial intelligence-based employee status monitoring system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0054] A specific embodiment of the present invention discloses an employee status monitoring system based on artificial intelligence, such as figure 1 As shown, it includes multifunctional sensors A1 and A2 arranged on helmets and wristbands, and an information processor B arranged on safety work clothes worn by employees.

[0055] The multifunctional sensors A1 and A2 are used to collect audio and video information of the employee's on-site working environment and personal physiological data information, and transmit them to the information processor B.

[0056] Information processor B is used to identify the employee's working status and real-time physical health status based on the audio and video information of the employee's on-site working environment and personal physiological data information, and then judge whether his pre-employment physiological state meets the job requirements, or Whether the physiological state at work is competent for the current job shows the j...

Embodiment 2

[0061] Optimizing on the basis of Example 1, such as figure 2 As shown, the multifunctional sensor includes a miniature audio and video acquisition device and a physiological data sensor.

[0062] The miniature audio and video collection device is used to collect the audio and video information of the employee's on-site working environment and transmit it to the information processor. When in use, the miniature audio and video collection device can be placed at the preset quick-connect base of the helmet or at the added temporary base, and an appropriate position can be selected according to the actual situation.

[0063] The physiological data sensor is used to collect the real-time physiological data information of the employee and transmit it to the information processor. When in use, the physiological data sensor is placed on the wristband 3 at a position that is not easy to bump. The real-time physiological data information includes body temperature, respiration, heart...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to an artificial intelligence-based employee status monitoring system, which belongs to the technical field of status monitoring and solves the problems of strong subjectivity, poor real-time performance, low accuracy of judgment results and inability to meet safety production requirements in the prior art. The system includes: multifunctional sensors set on helmets and wristbands, and information processors set on safety work clothes worn by employees. The multi-functional sensor is used to collect the audio and video information of the employee's on-site working environment and personal physiological data information, and transmits it to the information processor; the information processor is used to collect the employee's on-site working environment audio and video information, personal physiological data information, identify the employee's working status and real-time physical health status, and then judge whether his pre-employment physiological status meets the job requirements, or whether his working physiological status is competent for the current job, and display the judgment result. The system can analyze the physical and psychological conditions of employees in real time, automatically and accurately.

Description

technical field [0001] The invention relates to the technical field of state monitoring, in particular to an artificial intelligence-based employee state monitoring system. Background technique [0002] The production activities of modern enterprises are often continuous and repetitive, and the production of enterprises is often in high temperature, high humidity, high dust and loud noise environments, such as construction, electric power, assembly line production sites, etc. The production of modern enterprises has high requirements for the proficiency of employees in operation, and the requirements for refined operations are also high. Production activities have high requirements for employees' pre-job status and working status. The psychological and physiological status of employees will directly affect the quality of work. [0003] At present, the management of employees in most enterprises is still manual passive monitoring, but some new semi-active monitoring methods h...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G16H50/30G06Q10/06G06K9/00A61B5/0205A61B5/16
CPCA61B5/02055A61B5/165G06Q10/06398G16H50/30G06V40/174G06V40/10
Inventor 吴士泓李向鲁静向万红
Owner YGSOFT INC
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap