Occupational health automatic classification and level-to-level management system, sensing module and process

A hierarchical management and automatic classification technology, applied in data processing applications, character and pattern recognition, computer-aided medical procedures, etc., can solve problems that cannot be predicted and analyzed in time, affect the enthusiasm of employers to fill in reports, and cannot control the authenticity. , to achieve the effect of compact structure, reasonable design and saving money

Pending Publication Date: 2021-11-05
河北鑫牧思网络科技有限公司 +1
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, there are many enterprises exposed to occupational hazards and the types of occupational hazards are different. The traditional on-site inspection model seriously affects the effectiveness of supervision. The implementation of classified and hierarchical management is an inevitable trend to achieve differentiated and precise supervision and law enforcement. The previous technical solutions are all The authenticity of the test data and physical examination data can not be controlled by the employer. In addition, the data calculation design is simple, and the data is filled repeatedly, which seriously affects the enthusiasm of the employer and the accuracy is low.
In addition, there is no big data precipitation, and it is impossible to predict and analyze problems in a timely manner. More importantly, the electronic version of the occupational health monitoring files of workers has been automatically formed unconditionally before.
[0003] At present, the purpose of monitoring and management of occupational diseases is only limited to the later treatment. For the early prevention, the monitoring is only carried out through regular physical examinations. When there are problems in the physical examinations, it will place a huge burden on the physical and mental health of the workers. Even, some enterprises, in order to To avoid the burden of occupational diseases on workers, we will avoid such bad methods as personnel engaged in high-risk occupational diseases, not filing, rotating jobs or high-frequency recruitment and dismissal

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
  • Occupational health automatic classification and level-to-level management system, sensing module and process
  • Occupational health automatic classification and level-to-level management system, sensing module and process
  • Occupational health automatic classification and level-to-level management system, sensing module and process

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0048] Example 1, such as Figure 1-5 As shown, the occupational health automatic classification and grading management system of this embodiment includes an application layer, a network layer and a perception layer;

[0049] The application layer includes the client terminal of the employer, the working computer of the medical examination center and the server of the supervision and management department;

[0050] The perception layer is a sensor component installed in the employer's workshop 1, which is used to collect work environment information and upload it to the application layer through the network layer;

[0051] A hierarchical management module is built on the server of the client and the supervision and management department, and a technical service center system is also built on the server of the supervision and management department;

[0052] The hierarchical management module is connected to the technical service center system and the physical examination cente...

Embodiment 2

[0059] Example 2, such as Figure 1-5 , the occupational health automatic classification and grading management process of this embodiment,

[0060] Step 1. First, establish a database of occupational disease hazard factors, including the name of occupational disease hazard factors and their category, nature, and occupational exposure limit; then, establish a national economic industry classification database and unit size large, medium, small, and micro classification standards for employers to query and select;

[0061] Step 2. Connect with the technical service center. First, extract the test report. The test report includes the type of work, the name of occupational disease hazard factors, the test concentration, and the judgment result; Judgment result;

[0062] Step 3, docking with the medical examination center, firstly, extracting the personal information of the laborer, which includes the employer, type of work, and exposure to occupational disease hazard factors. W...

Embodiment 3

[0068] Embodiment 3, the sensor assembly includes the working door camera 2 and the information reading device 3 arranged on the working door of the working workshop 1, to record the identity, time and times of the personnel entering and leaving the working workshop 1;

[0069] A probe monitoring device 4 for collecting occupational hazard factors is set in the workshop 1;

[0070] A probe installation rod 5 is arranged on the top of the workshop 1, a probe rotation slope 6 is arranged at the cantilever end of the probe installation rod 5, and the root of a vertical rotation rod 7 is vertically arranged on the probe rotation slope 6, and the vertical The root of the rotating arm 8 is provided, the first telescopic arm 9 is arranged on the rotating arm 8, the second driving arm 10 is arranged at the end of the first telescopic arm 9, and the central connecting rod is arranged at the end of the second driving arm 10 11. A central guide rod 12 is provided at the end of the centra...

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 occupational health automatic classification and level-to-level management system, a sensing module and a flow. The system comprises an application layer, a network layer and a sensing layer; the application layer comprises a client arranged in an employer, a working machine arranged in a physical examination center and a server arranged in a supervision and management department; the sensing layer is a sensor assembly arranged in a workshop (1) of an employer and is used for acquiring working environment information and uploading the working environment information to the application layer through the network layer; a hierarchical management module is built on the client and the server of the supervision and management department, and a technical service center system is also built on the server of the supervision and management department; the level-to-level management module is connected with a technical service center system and a physical examination center; the system is reasonable in design, compact in structure and convenient to use.

Description

technical field [0001] The invention relates to an occupational health automatic classification and grading management system, a perception module and a process. Background technique [0002] At present, there are many enterprises exposed to occupational hazards and the types of occupational hazards are different. The traditional on-site inspection model seriously affects the effectiveness of supervision. The implementation of classified and hierarchical management is an inevitable trend to achieve differentiated and precise supervision and law enforcement. The previous technical solutions are all The authenticity of the test data and physical examination data cannot be controlled by the employers themselves. In addition, the data calculation design is simple, and the data is filled repeatedly, which seriously affects the enthusiasm of the employers and the accuracy is low. In addition, there is no big data precipitation, and it is impossible to predict and analyze problems ...

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 Applications(China)
IPC IPC(8): G16H50/30G06K9/62G06Q10/06
CPCG16H50/30G06Q10/0635G06F18/2431
Inventor 刘莉雯时振华李健郭小倩
Owner 河北鑫牧思网络科技有限公司
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