Thermal infrared gas leakage detection method, detection device and detection system based on YOLOV5

A gas leak detection, thermal infrared technology, applied in neural learning methods, image data processing, instruments, etc., can solve the problem of low gas leak detection accuracy

Pending Publication Date: 2022-04-08
洛阳热感科技有限公司
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The main purpose of this application is to provide a thermal infrared gas leakage detection method based on YOLOV5, detection device, computer readable storage medium, processor and detection system, to solve the problem of low accuracy of gas leakage detection in the prior art

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
  • Thermal infrared gas leakage detection method, detection device and detection system based on YOLOV5
  • Thermal infrared gas leakage detection method, detection device and detection system based on YOLOV5
  • Thermal infrared gas leakage detection method, detection device and detection system based on YOLOV5

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0022] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is an embodiment of a part of the application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

[0023] It should be noted that the terms "first" and "second...

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 thermal infrared gas leakage detection method, device and system based on YOLOV5, and the method comprises the steps: obtaining an infrared image of a target object which is any scene where gas leakage may occur; the infrared image is input into an image detection model, a marked infrared image is obtained, the marked infrared image is an infrared image marking the position of the leaked gas, and the image detection model is trained through machine learning by using a training data set; each group of training data in the training data set comprises a historical infrared image and a historical infrared image marking a gas leakage position; and determining whether the target object has gas leakage or not according to the marked infrared image. According to the method, the problem of low accuracy of gas leakage detection in the prior art is solved, in addition, the infrared image of the target object can be obtained frame by frame from the monitoring video of the target object, real-time detection of gas leakage of the target object is achieved, it is ensured that gas leakage is found in time, and safety is improved.

Description

technical field [0001] The present application relates to the field of gas leakage monitoring, in particular, to a thermal infrared gas leakage detection method based on YOLOV5, a detection device, a computer-readable storage medium, a processor and a detection system. Background technique [0002] With the development of industry, the safety requirements are getting higher and higher, and the real-time monitoring of safety hazards has aroused widespread concern in the petroleum and petrochemical, gas supply and power industries. Inflammable and explosive gas leakage is an important cause of safety accidents, and it is necessary to effectively detect and give an alarm at the early stage of gas leakage. Gas leak detection technology based on infrared thermal imaging has the advantages of all-day, low cost and high coverage, and has great room for development in the field of gas leak detection. At present, how to improve the accuracy of gas leakage detection and improve the d...

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): G06T7/00G06T7/70G06N3/04G06N3/08
Inventor 锁言鹏冯涛郑逢勋
Owner 洛阳热感科技有限公司
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap