Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Safety production risk detection and inspection personnel distribution method based on artificial intelligence

A technology of safe production and artificial intelligence, applied in the direction of neural learning methods, image analysis, biological neural network models, etc., can solve problems such as unreasonable dispatch or allocation of personnel, unfavorable equipment risk investigation, failure to consider the cooperative relationship of faulty equipment, etc., to achieve Reduce risks, avoid blind allocation, and increase safety effects

Inactive Publication Date: 2021-11-05
沭阳县宏宇印刷厂
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When the existing personnel are dispatched to inspect, troubleshoot or overhaul the equipment, they are only assigned based on the difficulty of the failure and the maintenance ability of the personnel, without considering the collaborative relationship between the relevant personnel during the maintenance or troubleshooting of the faulty equipment. Issues of unreasonable dispatch or distribution are not conducive to the rapid and dangerous inspection of equipment and other operations

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
  • Safety production risk detection and inspection personnel distribution method based on artificial intelligence
  • Safety production risk detection and inspection personnel distribution method based on artificial intelligence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0023] This embodiment provides an artificial intelligence-based safety production risk detection and inspection personnel assignment method, specifically, the method includes:

[0024] 1) Obtain the first collaborative correlation degree set of each device, the first collaborative correlation degree set includes the first collaborative correlation degree between any two personnel, the first collaborative correlation degree reflects the The degree of need for any two persons.

[0025] Due to differences in the technical ability, job responsibilities, and safety awareness of different personnel, and considering that some equipment requires mutual assistance from multiple personnel to complete the inspection and maintenance of the equipment, the core purpose of the present invention is mainly to allocate personnel reasonably. In groups, people in the same group assist each other to reduce or suppress the probability of specific equipment risks. Therefore, it is first necessary ...

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 provides a safety production risk detection and inspection personnel allocation method based on artificial intelligence, and the method comprises the steps: obtaining a first collaborative association degree set of each device, wherein the first collaborative association degree set comprises a first collaborative association degree between any two personnel, and the first collaborative association degree reflects the degree of need for any two persons when the equipment fails; and processing the first collaborative association degree set of all the devices to obtain a second collaborative association degree set, dividing the personnel into K personnel sets based on the second collaborative association degree set, obtaining the device corresponding to each personnel set, and completing personnel distribution. According to the method and the system, the cooperative relationship among the personnel for specific equipment is obtained, the personnel are grouped by using a GCN network, the grouped personnel can solve the potential safety hazard of the equipment in a targeted manner, and each group of personnel can accord with the fault and the risk of each equipment, so that blind distribution of the personnel is avoided, and efficient personnel management is realized.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to an artificial intelligence-based safety production risk detection and inspection personnel assignment method. Background technique [0002] Large-scale chemical enterprises have many production or storage equipment in their production environment, which are used for the chemical reaction and storage of chemicals, or provide high temperature and high pressure for chemical reactions. These equipment will inevitably fail or be abnormal during operation, so it is necessary to arrange appropriate equipment in time. Personnel can operate or control the equipment to reduce the risks and hidden dangers of the equipment. When the existing personnel are dispatched to inspect, troubleshoot or overhaul the equipment, they are only assigned based on the difficulty of the failure and the maintenance ability of the personnel, without considering the collaborative relationship between the ...

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): G06Q10/06G06K9/62G06N3/04G06N3/08G06T7/00
CPCG06Q10/0635G06Q10/063112G06Q10/063116G06N3/04G06N3/08G06T7/0004G06T2207/20081G06F18/23G06F18/2415
Inventor 陆兆芳
Owner 沭阳县宏宇印刷厂
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products