Substation Insulator Thermal Imaging for Real-Time Defect Detection
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Solution Overview
Problem
Existing infrared diagnosis methods for substation insulators require significant manpower, professional expertise, and are subjective and lack real-time analysis capabilities, leading to inefficient and inaccurate defect detection.
Innovation Solution
An infrared thermal imaging apparatus with a core computing module and improved Yolov5 algorithm, utilizing a GPU for real-time defect detection, performs thermal image analysis and fault diagnosis through adaptive feature extraction, reducing manual workload and enhancing accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If hand-held infrared thermal imager is used for photographing thermal images of each device, then defect detection can be performed, but highly repetitive work content and large amount of manpower are required
Solution Approach 1:
The patent replaces the manual mechanical operation of hand-held infrared thermal imaging with an automated system that uses infrared modules mounted on drone platforms or fixed installations. The system automatically captures thermal images, processes them through algorithms, and generates defect detection results without requiring manual operation, thereby eliminating repetitive work while maintaining detection capability.
Solution Approach 2:
The system performs self-service by automatically capturing thermal images, processing the image data through integrated algorithms, and generating defect detection reports without human intervention. The automated processing chain includes image acquisition, preprocessing, defect identification, and result output, all executed by the system itself, thereby eliminating the need for manual labor in each detection cycle.
2Measurement precision
If manual infrared thermal imaging is performed by operation and maintenance staff, then defect detection can be conducted, but professional expertise and subjective judgment are required leading to inconsistent results
Solution Approach 1:
The patent replaces subjective manual judgment with objective algorithmic processing. The system uses automated image processing algorithms that consistently apply the same detection criteria to all thermal images, eliminating the variability introduced by different inspectors' expertise levels and subjective interpretations. This ensures uniform and reliable defect detection across all inspections.
Solution Approach 2:
The system incorporates feedback mechanisms where detection results are continuously refined based on accumulated data and performance metrics. The algorithm learns from previous detection outcomes and adjusts its parameters to improve accuracy and consistency over time, ensuring reliable and repeatable diagnosis results without depending on individual inspector expertise.
3Measurement precision
If manual infrared diagnosis is performed, then thermal image data can be collected, but real-time diagnosis and analysis are poor
Solution Approach 1:
The system enables continuous real-time thermal imaging and processing by mounting infrared modules on continuously operating platforms such as drones or fixed monitoring stations. The automated processing chain operates continuously without interruption, capturing thermal images, analyzing them in real-time, and generating immediate defect detection results, thereby eliminating the time loss associated with manual image-by-image analysis.
Solution Approach 2:
The patent replaces slow manual analysis with automated real-time processing systems that use algorithms to instantly analyze thermal images as they are captured. This substitution enables immediate defect detection and alert generation, providing real-time diagnostic capabilities that were not feasible with manual inspection methods.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The apparatus provides efficient, real-time, and objective defect detection with high accuracy, significantly reducing manual effort and improving the reliability of substation insulator inspections.
Implementation Method 1
The infrared module is configured to obtain infrared radiation information through a lens
Implementation Method 2
The principle of infrared diagnosis is that when a device in an abnormal state works with electricity, it is often accompanied by a change of a thermal effect
Data Source
AI summary
The present disclosure discloses an infrared thermal imaging defect detection method and apparatus for a substation insulator. An infrared module is bidirectionally connected to a core computing module, and an infrared module is unidirectionally connected to a high-rate battery. The core computing module is unidirectionally connected to a touch screen. The infrared module is configured to obtain infrared radiation information through a lens, and calculate and generate a temperature distribution video. The method includes infrared video acquisition, thermal region segmentation, device type determination, key temperature information extraction, defect diagnoses, result display and result saving.