Pipeline Corrosion Hotspot Positioning With Image-Based Location Correction

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Solution Overview

Problem

Manual inspections of industrial pipelines for corrosion are labor-intensive, time-consuming, and prone to missing undiscovered corrosion areas due to visual inspection inefficiencies.

Innovation Solution

A corrosion positioning system utilizing image recognition, positioning, and optimization technologies to automatically detect and correct location information of corrosion hotspots, incorporating modules for image analysis, positioning, and optimization to enhance accuracy and efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual inspection methods are used to detect corrosion in pipelines, then inspection can be performed with simple equipment, but the inspection efficiency is low and time-consuming

Engineering Contradiction:
Improveinspection efficiencyVSAvoidinspection time
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The patent replaces manual visual inspection with an automated system comprising image capturing devices, positioning devices, and computer processing. The system automatically captures images of pipelines, identifies corrosion areas through image processing, and records location information, eliminating the need for manual inspection while significantly improving efficiency and reducing time consumption.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If visual inspection is used to detect corrosion areas, then no special equipment is needed, but corrosion areas are easily missed due to human error

Engineering Contradiction:
Improvedetection accuracyVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent replaces human visual inspection with automated image recognition technology. The system uses image capturing devices to photograph pipelines and computer processing to automatically identify corrosion areas, eliminating human error and improving detection reliability. The positioning device simultaneously captures location information, ensuring accurate recording of corrosion positions without requiring complex additional equipment.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system performs self-inspection by automatically capturing images, processing them to identify corrosion areas, and recording location information without requiring continuous human intervention. The computer automatically analyzes the captured images and generates inspection results, enabling the system to serve itself in the inspection process while maintaining high reliability.

Inventive Principle:
Principle #25Self-service

3Productivity

If manual inspection methods are employed, then equipment cost is low, but labor intensity is high and omissions are frequent

Engineering Contradiction:
Improveinspection efficiencyVSAvoidlabor intensity
Core Design Contradiction:
ProductivityVSEase of operation

Solution Approach 1:

The patent replaces labor-intensive manual inspection with an automated system that performs image capturing, processing, and analysis. The system automatically identifies corrosion areas and records their locations, eliminating the need for manual examination and significantly reducing labor intensity while improving inspection efficiency and reducing omissions.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20250252547A1Corrosion positioning system, corrosion inspection vehicle and corrosion positioning method using the same
Publication Date: 2025.08.07 IND TECH RES INST
  • US20250252547A1 patent drawing
  • US20250252547A1 patent drawing
  • US20250252547A1 patent drawing

AI summary

A corrosion positioning system, a corrosion inspection vehicle and a corrosion positioning method using the same are provided. The corrosion positioning method includes the following steps. An image information is read by a corrosion hotspot recognition module to recognize a corrosion hotspot. A location information of the corrosion hotspot is obtained by a corrosion hotspot positioning module. The location information of the corrosion hotspot is corrected by an inspection optimization module to obtain a corrected location information. The step of correcting the location information of the corrosion hotspot includes the following steps. The correlation information of a plurality of feature points in a plurality of frames in the image information is analyzed by the inspection optimization module. The position information of a point to be corrected is corrected by the inspection optimization module according to the correlation information. The location information is normalized by the inspection optimization module.