Hazardous chemical enterprise five-in-one safety management method based on artificial intelligence and Internet of Things

A security management and artificial intelligence technology, applied in office automation, image data processing, data processing applications, etc., can solve problems such as endangering the personal safety of staff, loss of staff and enterprises, damage to raw material storage equipment, etc., to ensure life and property Safety and the effect of eliminating potential safety hazards

Pending Publication Date: 2021-06-29
河南鑫安利安全科技股份有限公司
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in recent years, petrochemical enterprises, as hazardous chemical enterprises, have experienced many safety accidents, and the consequences and losses caused are shocking.
These major safety accidents are often caused by factors such as irregular operation of the staff, non-compliance with high-risk operation rules, and damage to raw material storage equipment.
There are a large number of staff in hazardous chemical enterprises, and sometimes it is imposs

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
  • Hazardous chemical enterprise five-in-one safety management method based on artificial intelligence and Internet of Things
  • Hazardous chemical enterprise five-in-one safety management method based on artificial intelligence and Internet of Things
  • Hazardous chemical enterprise five-in-one safety management method based on artificial intelligence and Internet of Things

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0062] In order to further illustrate the technical means and efficacy of the present invention to achieve the object of the present invention, the following combined with the accompanying drawings and preferred embodiments, a five-part safety management method based on artificial intelligence in accordance with the present invention The specific embodiments, structures, features, and their effects are described in detail. In the following description, different "one embodiment" or "another embodiment" refers to not necessarily the same embodiment. In addition, specific features, structures, or features in one or more embodiments may be combined by any suitable form.

[0063] All techniques and scientific terms used herein are identical to those skilled in the art, unless otherwise defined.

[0064] A specific scheme of a five-position safety management method based on artificial intelligence of hazardous enterprises will be described below with reference to the accompanying drawi...

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 the field of chemical enterprise safety management, in particular to a hazardous chemical enterprise five-in-one safety management method based on artificial intelligence and the Internet of Things. The method comprises the steps of collecting a vehicle disposal area image, obtaining a detection image through detection solution spraying, and obtaining a first leakage degree; obtaining a clothing material of a person who does not wear the work clothes; obtaining the electrostatic charge quantity carried by the personnel; calculating a danger edge weight and constructing a danger distribution map; dividing the dangerous area by the dangerous source node and updating to obtain a second dangerous area; obtaining a first danger weight through the danger edge weight in the second danger area; obtaining a second danger weight through the personnel operation action information and the personnel density; obtaining a third danger weight through poisonous gas sensor information; and performing safety management on each area of the enterprise in combination with the first danger weight, the second danger weight and the third danger weight. According to the invention, real-time and effective security management is carried out on the interior of the enterprise through the weights of the plurality of regions.

Description

Technical field [0001] The present invention relates to the field of safety management of chemical enterprises, and in particular, a five-part security management method based on artificial intelligence and Internet of Things. Background technique [0002] Petrochemical companies are the basic industries and pillar industries of the national economy. However, in recent years, Petrochemical Enterprises have many safety accidents in hazardous enterprises, resulting in consequences and losses make people feel shocking. In these major security accidents, it is often caused by factors such as staff operating irregularities, not complying with high-risk job rules, and damage to raw materials storage equipment. In the quantity of the staff in the hazardous enterprise, it is sometimes unable to do full strict management. If the safety hazard generated by the staff itself, if it does not date the personal safety of the staff in time, and will affect the inconsistency of the enterprise. An...

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
IPC IPC(8): G06K9/00G06K9/46G06T7/62G06Q10/10G06Q50/04
CPCG06T7/62G06Q10/103G06Q50/04G06V40/10G06V20/10G06V10/56Y02P90/30
Inventor 孔庆端杨耀党吴朕君田雷赵夏冰吴晓丽马吉睿郑朝晖穆仕芳武潭胡松涛王文龙张伟纪学峰白小杰张少楠
Owner 河南鑫安利安全科技股份有限公司
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