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

Deep sea pipeline crack propagation monitoring and reliability evaluation system based on image recognition

An evaluation system and image recognition technology, applied in image communication, closed-circuit television system, electrical transmission signal system, etc., can solve the problems of inability to inspect, not considering the influence of pipeline cracks, and unreasonable layout.

Active Publication Date: 2021-07-06
TIANJIN UNIV
View PDF7 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the current deep-sea monitoring method is unreasonably arranged. It simply acquires crack images without considering the impact of changes in the pipeline itself on the cracks, such as moving distance, internal and external pressure differences, etc., and the existing inspection methods encounter dangerous sea conditions. Unable to inspect
In addition, the existing analysis system has great limitations in the way of evaluating crack images, and cannot achieve real-time evaluation

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
  • Deep sea pipeline crack propagation monitoring and reliability evaluation system based on image recognition
  • Deep sea pipeline crack propagation monitoring and reliability evaluation system based on image recognition
  • Deep sea pipeline crack propagation monitoring and reliability evaluation system based on image recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0013] The specific structure and implementation process of this solution will be described in detail below through specific embodiments and accompanying drawings. In the following description, the historical pipeline refers to the used deep-sea pipeline after cracks occur until the crack leads to the end of the working life of the pipeline, and the crack images are taken and saved during the working process. The monitoring pipeline refers to the deep-sea pipeline currently in use, and its crack images are acquired in real time.

[0014] Such as figure 1 As shown, in one embodiment of the present invention, a deep-sea pipeline crack growth monitoring and reliability assessment system based on image recognition is provided, including: monitoring equipment, a network transmission module, an analysis system and an alarm system.

[0015] The monitoring equipment is used to obtain the changing parameters of the monitoring pipeline, including deep-sea cameras distributed around the...

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 deep sea pipeline crack propagation monitoring and reliability evaluation system based on image recognition. The deep sea pipeline crack propagation monitoring and reliability evaluation system comprises monitoring equipment, a deep sea camera used for obtaining change parameters of a monitored pipeline, a pressure sensor used for obtaining internal pressure, an acceleration sensor used for obtaining displacement changes, a network transmission module used for establishing communication between the monitoring equipment and the analysis system, an analysis system used for analyzing and evaluating the received surface image, and providing the reliability of the current monitored pipeline and the reliability evaluation result of the current monitored pipeline in the whole pipeline system in combination with the information of the monitoring equipment, and an alarm system used for sending alarm information to the outside when the reliability influence of the to-be-monitored pipeline is lower than a threshold value. According to the invention, the crack propagation condition of each key point is monitored in real time based on the picture data returned by the deep-sea cameras at different key points of the deep sea pipeline system, and the pressure and acceleration data are combined so that the working, operation and maintenance personnel of the deep-sea petroleum engineering are effectively helped to know the health condition of the pipeline in time.

Description

technical field [0001] The invention relates to the field of underwater pipeline monitoring, in particular to an image recognition-based deep-sea pipeline crack extension monitoring and reliability evaluation system. Background technique [0002] With the development of my country's oil exploration to the deep sea, the use of deep-sea pipelines is becoming more and more extensive. The construction, operation and maintenance of deep-sea pipelines is also an important manifestation of a country's capabilities. Because the deep-sea oil pipeline is located in the deep sea and is under high pressure for a long time, it will produce cracks under the action of axial and circumferential loads. If the cracks expand to a certain extent, the pipeline system will fail, and even oil will leak in serious cases, resulting in huge economic losses. Benefit loss and extremely destructive pollution to the environment. Investigations have shown that material aging, long-term fatigue effects, a...

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): G01N3/32G01N21/88G08B7/06G08B21/18H04N5/225H04N7/18
CPCH04N7/18G08B21/182G08B7/06G01N21/8851G01N3/32G01N2203/0073G01N2021/8883H04N23/00
Inventor 余建星李昊达王华昆余杨王彩妹许伟澎崔宇朋
Owner TIANJIN 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