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

Flame positioning alarm system and method based on converter station valve hall fire-fighting robot

A fire-fighting robot and alarm system technology, applied in the field of flame positioning, can solve problems such as poor performance, and achieve the effects of improving detection speed, improving detection accuracy, and reducing false alarm rate

Pending Publication Date: 2022-06-24
NARI TECH CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method does not perform well when the fire distance is large or the fire volume is small

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
  • Flame positioning alarm system and method based on converter station valve hall fire-fighting robot
  • Flame positioning alarm system and method based on converter station valve hall fire-fighting robot
  • Flame positioning alarm system and method based on converter station valve hall fire-fighting robot

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0082] This embodiment provides a flame location alarm system based on a converter station valve hall fire-fighting robot, such as figure 1 shown, including:

[0083] Inspection module: used to collect real-time scene images of converter station valve halls through fire-fighting robots installed in converter station valve halls; and to identify suspicious fire scene images;

[0084] Flame feature extraction module: used to extract flame features from suspicious fire scene images;

[0085] Flame feature fusion module: It is used to fuse the flame features extracted from each suspicious fire scene image, and input the fused flame features into the preset support vector machine. Featured scene images and scene images without flame features;

[0086] Flame location module: It is used to process the classified images through the Faster R-CNN model combined with the global information network to determine the flame location.

[0087] In this embodiment, the flame is mainly identi...

Embodiment 2

[0098] On the basis of the flame location alarm system based on the converter station valve hall fire fighting robot provided in Embodiment 1, preferably, the inspection module includes:

[0099] Inspection point unit: used to set the inspection point of the fire-fighting robot through the three-dimensional map of the valve hall of the converter station; wherein, the inspection point is used to determine the background image of the real-time scene image, and each inspection of the same fire-fighting robot The background image of the point is the same;

[0100] Inspection unit: used to conduct real-time inspection of the inspection points and obtain real-time scene images;

[0101] Inspection task unit: used to set the inspection tasks of each inspection point; the inspection task is to set some inspection tasks for each fire robot according to the inspection points, and specify the inspection rules. For each inspection point Set a certain number of inspections and inspection ...

Embodiment 3

[0106] On the basis of the flame location alarm system based on the converter station valve hall fire fighting robot provided in Embodiment 2, preferably, the inspection task unit determines whether a suspicious fire area occurs in the inspection task based on the frame difference method, including:

[0107] According to the inspection task, determine the real-time scene image of each inspection point;

[0108] Perform frame-by-frame processing on the real-time scene image to obtain frame images;

[0109] According to the frame image, determine the fixed element in the background image and the low-change element whose change state is below the preset target threshold; wherein,

[0110] The change state is the change degree of the posture of the element in the background image in a plurality of different frame images;

[0111] The preset target threshold is an element posture change threshold in the background image;

[0112] Deleting the fixed element and the low-change elem...

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 flame positioning alarm system and method based on a fire-fighting robot in a converter station valve hall. The system comprises a patrol module used for collecting a real-time scene image of the converter station valve hall through the fire-fighting robot arranged in the converter station valve hall and identifying a suspicious fire scene image; the flame feature extraction module is used for performing flame feature extraction on the suspicious fire scene image; the flame feature fusion module is used for carrying out flame feature fusion on each suspicious fire scene image and carrying out image classification based on fused flame features; and the flame positioning module is used for processing the classified image through a Faster R-CNN model combined with a global information network to determine a flame position. According to the invention, flame characteristics are adjusted, false detection can be reduced, and fire detection precision is improved.

Description

technical field [0001] The invention relates to the technical field of flame positioning, in particular to a flame positioning alarm system and method based on a converter station valve hall fire fighting robot. Background technique [0002] At present, if a fire occurs in the valve hall of the converter station, it is mainly found manually, and there are great hidden dangers. Traditional fire alarm technology is based on smoke or heat sensors that require proximity to activate. These sensors require human involvement to confirm a fire in the event of an alarm. In addition, such systems require a variety of devices to provide information on the size, location and extent of the fire. Early research on computer vision-based fire detection focused on fire color within the framework of rule-based systems that are often sensitive to environmental conditions. Computer vision-based flame detection methods (hereinafter referred to as flame detection) are mainly divided into two c...

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): G06V20/40G06V10/44G06V10/56G06K9/62G06V20/52G06V10/764G06V10/80G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/2411G06F18/253
Inventor 黄国方童宇辉张静单超周兴俊杨明鑫张丛丛汤济民廖志勇刘晓铭王文政甘志坚陈向志谢永麟彭奕郝永奇吴嵩青钟亮民吴圣和许茂洲张斌侯建国薛栋良温祥青蒋轩谢芬
Owner NARI 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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com