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

Digital fire safety assessment and visual operation and maintenance method

A safety assessment and fire protection technology, applied in neural learning methods, television, data processing applications, etc., can solve problems such as inability to carry out effective early warning, passive triggering of fire protection systems, and difficulty in responding to monitoring needs, so as to avoid fire expansion, respond quickly, The effect of ensuring the safety of people and property

Pending Publication Date: 2022-03-29
GUANGZHOU VCMY TECH CO LTD
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The environment of fire safety monitoring and the causes of fires are becoming more and more complex. For example, fires are caused by open flames or high temperature sources, as well as by cable current short circuit, cable overheating and fire. The existing traditional fire protection system that relies on temperature sensing and smoke detection has been difficult to deal with many Element monitoring requirements, and most of the traditional fire protection systems are passively triggered, that is to say, when the fire has occurred and reached a level that can be detected, actions such as alarm and sprinkler fire extinguishing will be executed, and effective early warning cannot be carried out.

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
  • Digital fire safety assessment and visual operation and maintenance method
  • Digital fire safety assessment and visual operation and maintenance method
  • Digital fire safety assessment and visual operation and maintenance method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] Attached as follows Figures 1 to 3 Further description of the application scheme:

[0025] See attached figure 1 , the method of digital fire safety assessment and visual operation and maintenance includes the following steps:

[0026] S1, risk level formulation; according to the Bayesian risk identification and analysis model to formulate the risk level and quantification range, the actual standard for early warning and warning, see the attached image 3 ;

[0027] The YES risk identification and analysis model divides the fire scene into open flame and electrical fire; for the open fire scene, the AI ​​image recognition model implemented by the camera and the smoke alarm detector monitor; for the electrical fire scene, it is divided into short-circuit fire, cable Overheating and fire, early warning of cracked substances three major sections; implementation of cable residual power monitoring in the short-circuit fire section; implementation of environmental tempera...

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 digital fire safety assessment and visual operation and maintenance method, which meets the requirements of fire monitoring and early warning, and is characterized by comprising the following steps: S1, formulating a risk level and a quantitative range according to a Bayesian risk identification and analysis model; s2, environment index monitoring; wherein the monitoring comprises cable residual current monitoring, cable temperature monitoring or cracking quality monitoring, and when a corresponding index is monitored to exceed a preset standard, an early warning is initiated; s3, open fire monitoring and alarming; the multiple cameras simultaneously take frames and send pictures to the AI image recognition model, and the AI image recognition model carries out recognition and risk grading on open fire or smoke and fire in the pictures and feeds back a processing result to the monitoring background; when the AI image recognition model recognizes open fire, an adjacent fire-fighting spraying device is called according to the coordinates of the corresponding camera to carry out spraying and fire extinguishing.

Description

technical field [0001] The invention relates to the field of fire monitoring, in particular to a method for digital fire safety evaluation and visual operation and maintenance. Background technique [0002] The environment of fire safety monitoring and the causes of fires are becoming more and more complex. For example, fires are caused by open flames or high temperature sources, as well as by cable current short circuit, cable overheating and fire. The existing traditional fire protection system that relies on temperature sensing and smoke detection has been difficult to deal with many In addition, most traditional fire protection systems are passively triggered, that is to say, actions such as alarm and fire sprinkler will be executed when the fire has occurred and reached a level that can be detected, and effective early warning cannot be carried out. Contents of the invention [0003] The present invention proposes a digital fire safety assessment and visual operation ...

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): H04N7/18G08B17/12G08B17/10G06V20/52G06V10/82G06N3/04G06N3/08G06Q10/06G06Q50/26
CPCH04N7/181G08B17/125G08B17/10G06N3/08G06Q10/0635G06Q50/26G06N3/045
Inventor 王荣波李玉祥
Owner GUANGZHOU VCMY TECH CO LTD
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