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

Equipment gas leakage monitoring system and method based on artificial intelligence sense

A technology of gas leakage and artificial intelligence, applied in liquid tightness measurement using liquid/vacuum degree, detecting the appearance of fluid at the leakage point, etc., can solve problems such as difficult online monitoring, easy interference, limited monitoring range, etc. problems, to avoid unplanned downtime, broad application prospects, and high recognition accuracy

Inactive Publication Date: 2020-05-12
XI AN JIAOTONG UNIV
View PDF13 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, these methods are mainly used in the leakage monitoring of pressure vessels, but these methods are suitable for local defects of materials, and usually can only be repaired after the equipment is shut down, and it is difficult to achieve online monitoring, so it is more suitable for large-scale leakage monitoring difficulty
[0006] (3) Single-point monitoring and early warning of leaked gas medium: The current leaked gas monitoring is based on single-point sensors based on optical, electrochemical and other principles. Although these sensors can detect the concentration signal after an obvious leak occurs, the alarm will be issued. However, due to the relatively small amount of gas produced by early leakage, it is easy to be interfered. However, these traditional monitoring methods have the disadvantages of limited monitoring range, poor anti-interference ability of single-material selection sensors, and early warning lag. detected
[0007] A lot of research has been done on gas leakage monitoring technology at home and abroad, but they are generally limited to a specific single-level monitoring method, such as monitoring the location or amount of gas leakage alone, and lack of analysis of the gas release caused by the gas leakage process. , Infrared radiation, sound wave diffusion, temperature excursion, equipment vibration and other characteristics revealed and elaborated

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
  • Equipment gas leakage monitoring system and method based on artificial intelligence sense
  • Equipment gas leakage monitoring system and method based on artificial intelligence sense
  • Equipment gas leakage monitoring system and method based on artificial intelligence sense

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] The present invention will be described in further detail below in conjunction with specific examples and accompanying drawings, which are explanations rather than limitations of the present invention.

[0056] An equipment gas leakage identification and monitoring system of the present invention is composed of four parts: artificial intelligence sense of smell, infrared imaging vision, ultrasonic detection sense of hearing and mechanical vibration sense of touch. Among them, the artificial intelligence sense of smell is through the adsorption of odor molecules by the sensor array in the artificial olfactory system to generate a signal. The electrical signal generated by the sensor is amplified by the electronic circuit and A / D converted into a digital signal input to the computer. The signal output by the sensor array is passed through a special After the software collects, processes, and processes, it compares and identifies the known information collected after "human...

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 discloses an equipment gas leakage monitoring system and method based on artificial intelligence sense. The monitoring system comprises an artificial intelligence olfaction device, an infrared imaging vision device, an ultrasonic detection auditory device and a mechanical vibration touch device which respectively correspond to four phenomena of gas release, infrared radiation, soundwave diffusion and equipment vibration when the gas leakage of chemical equipment occurs. The gas leakage generation mechanism of the chemical equipment is analyzed; the characteristic rules of gas release, infrared radiation, sound wave diffusion, temperature deviation, equipment vibration and the like caused by an insulating gas leakage fault state are disclosed. Based on the principles of artificial intelligence olfaction, infrared imaging vision, ultrasonic detection auditory sense and mechanical vibration touch sense, an artificial intelligence mode recognition algorithm is used in combination, an intelligent sensory system based on artificial intelligence vision, olfaction, listening and touch information fusion is constructed; and the gas multi-mode leakage accurate recognition of the chemical equipment and a leakage accurate tracing method are obtained. With the system and method of the invention adopted, the problems of gas leakage quantitative identification and leakage positioning are solved.

Description

technical field [0001] The invention belongs to the technology of accurate identification and traceability of gas leakage in chemical equipment, and in particular relates to an equipment gas leakage monitoring system and method based on artificial intelligence senses. Background technique [0002] Due to the failure of gas leakage in many fields such as pressure vessels, aerospace, gas, natural gas, etc., the losses caused are very heavy, so the monitoring method for gas leakage has become a hot topic of research at home and abroad, and monitoring gas leakage is extremely important. significance. [0003] Several main leak monitoring methods that have been used in gas leak monitoring at present mainly include: [0004] (1) Infrared imaging technology: Using the difference between the temperature field of the leakage area and the temperature field of the surrounding area, the infrared sensing image of the leakage area is obtained through image processing algorithms, so as to...

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): G01M3/24G01M3/04
CPCG01M3/24G01M3/04
Inventor 马登龙吴瑞涛高建民高智勇张早校
Owner XI AN JIAOTONG UNIV
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