Porcelain Insulator String Zero Value Diagnosis via Temperature Gradient Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current infrared zero value detection methods for porcelain insulators rely heavily on temperature differences between iron caps, which are influenced by environmental factors, leading to inaccurate and missed detections due to their reliance on local features and human observation.
Innovation Solution
The method involves collecting and preprocessing infrared thermograms, calculating temperature gradient values, and analyzing correlation coefficients to draw comprehensive temperature gradient and average-value curves, enabling more accurate diagnosis by considering both local and global temperature features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If infrared detection is performed based on temperature difference between iron caps, then detection can be conducted contactlessly, but detection accuracy deteriorates due to environmental factors and limited detection window
Solution Approach 1:
The patent transitions from one-dimensional temperature difference detection to two-dimensional analysis by introducing temperature difference gradient as an additional dimension. The gradient calculation (dT/dx) provides spatial distribution information that complements the absolute temperature difference, enabling more robust detection that is less sensitive to environmental variations and detection timing.
Solution Approach 2:
The patent performs preliminary processing of temperature data by calculating temperature difference gradients before making detection decisions. This preliminary action of computing spatial derivatives prepares the data in a form that is more resistant to environmental noise, allowing accurate detection even when detection conditions are not ideal.
2Measurement precision
If detection window is restricted due to environmental factors, then detection conditions can be controlled, but detection efficiency deteriorates
Solution Approach 1:
The patent creates a virtual model of the temperature distribution along the insulator string by calculating temperature difference gradients at multiple positions. This virtual temperature gradient profile serves as a fingerprint that can be analyzed without requiring strict environmental conditions, effectively copying the essential diagnostic information in a form that is robust to environmental variations.
3Device complexity
If only local temperature difference features are used, then detection process is simple, but detection accuracy deteriorates due to missed detections
Solution Approach 1:
The patent segments the insulator string into multiple detection positions and calculates temperature difference gradients at each segment. Rather than treating the insulator as a single unit, the method divides it into discrete measurement points, analyzing the gradient at each position to identify localized anomalies that would be missed by overall temperature difference analysis alone.
Solution Approach 2:
By introducing the spatial gradient dimension (temperature change per unit length), the patent transforms simple temperature difference measurements into rich diagnostic information. The gradient adds a rate-of-change dimension that highlights localized heating patterns, making it possible to detect deteriorated insulators even when overall temperature differences are small.
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
This approach enhances the accuracy of infrared zero value diagnosis by accounting for temperature differences and gradient correlations, reducing incorrect and missed detections.
Implementation Method 1
The infrared thermography method is the most frequently used contactless live detection method. In the infrared thermography method, determining is performed based on different temperature rising characteristics of iron caps of a deteriorated insulator and an adjacent normal insulator
Implementation Method 2
collecting an infrared thermogram of a to-be-diagnosed porcelain insulator string; extracting temperature of an iron cap of each insulator in the infrared thermogram
Data Source
AI summary
An infrared zero value diagnosis method and system for a porcelain insulator string are provided. The method includes: collecting an infrared thermogram of a to-be-diagnosed porcelain insulator string; extracting temperature of an iron cap of each insulator in the infrared thermogram of the to-be-diagnosed porcelain insulator string; calculating a temperature gradient value of each insulator in the to-be-diagnosed porcelain insulator string, drawing a temperature gradient distribution curve, and generating a temperature gradient distribution matrix of all to-be-diagnosed porcelain insulator strings; calculating a correlation coefficient of the temperature gradient distribution curve and a correlation coefficient of an average-value curve for each insulator string, and presenting the correlation coefficients in a scatter diagram; and performing comprehensive analysis and determining on the temperature gradient distribution curve, the temperature gradient distribution matrix of the to-be-diagnosed porcelain insulator strings, and the scatter diagram, to complete detection of the to-be-diagnosed porcelain insulator string.