Infrared Temperature Image Analysis for Device Abnormality Diagnosis
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Solution Overview
Problem
Existing abnormality diagnosis technologies for devices, particularly focusing on temperature, lack the accuracy needed for precise identification of device anomalies.
Innovation Solution
A program and diagnostic device that utilize a computer to perform processing steps including setting regions in a temperature image, identifying correlations between feature amounts, and diagnosing abnormalities based on changes in these correlations, utilizing both infrared and visible light images to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are placed throughout the device to improve diagnosis accuracy, then measurement precision improves, but device complexity and installation difficulty increase
Solution Approach 1:
The patent replaces physical temperature sensors with an infrared camera to capture temperature images. This substitutes mechanical sensor placement with optical measurement, eliminating the need for multiple contact sensors while achieving comprehensive temperature monitoring across the entire device surface, thus improving diagnosis accuracy without increasing device complexity
Solution Approach 2:
The patent creates a thermal copy or representation of the device's temperature distribution through infrared imaging. Instead of measuring temperature at discrete sensor points, the system captures a complete thermal map of the device, allowing comprehensive abnormality detection without physically attaching multiple sensors to the device structure
2Measurement precision
If traditional temperature-based diagnosis methods are used, then implementation simplicity is maintained, but diagnosis accuracy remains insufficient
Solution Approach 1:
The patent divides the device into multiple regions of interest (ROIs) within the temperature image. By segmenting the thermal map into specific components or areas, the system can analyze temperature correlations between different regions, improving detection accuracy for localized abnormalities while maintaining manageable computational complexity through focused regional analysis
Solution Approach 2:
The patent transforms temperature image data into correlation parameters that quantify relationships between different regions. By changing from direct temperature measurement to correlation analysis of temperature distributions, the system achieves superior diagnostic accuracy through mathematical transformation of the thermal data without requiring complex hardware modifications
3Measurement precision
If extensive sensor networks are deployed to reduce installation flexibility constraints, then measurement coverage improves, but ease of installation deteriorates
Solution Approach 1:
The patent replaces mechanical sensor attachment with non-contact infrared thermal imaging. The infrared camera captures temperature distributions without physical contact or installation on the device, providing full-field temperature measurement coverage while maintaining complete installation flexibility and ease of operation
Solution Approach 2:
The infrared camera serves as a universal measurement tool that can monitor temperature distributions across various device types and configurations without requiring device-specific sensor installation. This multi-functional approach achieves comprehensive temperature measurement coverage while maintaining ease of installation across different applications
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
Accurately diagnoses device abnormalities by analyzing temperature distribution and correlations, reducing the need for extensive sensor placement and lowering costs while improving ease of installation and flexibility.
Implementation Method 1
an infrared camera that captures a temperature image showing a temperature distribution of a device
Data Source
AI summary
Provided are a non-transitory computer readable medium, a diagnostic method, and a diagnostic device, in which a computer performs first processing of setting a plurality of regions in a temperature image showing a temperature distribution of a device, second processing of identifying a change in a first correlation which is a correlation of a first feature amount relating to temperature between regions that are different from each other, and third processing of performing an abnormality diagnosis of the device based on the change in the first correlation.