Infrared Thermal Imaging for Electrical Component Fire Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing industrial safety systems fail to effectively manage and predict abnormal operations in large and complex electromechanical equipment, making it difficult to prevent electrical fires and related safety incidents.
Innovation Solution
An electrical fire prevention and detection system utilizing an image acquisition device with imaging and infrared thermal imaging modules to identify abnormal electrical components, coupled with a cloud server for analysis and assessment reporting to generate improvement schemes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If single-point measurement by contact is used, then measurement precision is improved, but device complexity and adaptability worsen for large and complex electromechanical equipment
Solution Approach 1:
The patent replaces contact-based mechanical measurement systems with non-contact infrared thermal imaging technology. The infrared imaging module captures thermal distribution of electrical components without physical contact, eliminating the need for complex contact sensors and measurement mechanisms while maintaining temperature detection capability across all components.
Solution Approach 2:
The infrared thermal imaging module serves multiple functions simultaneously: it detects temperature abnormalities, identifies component locations, and provides comprehensive thermal mapping of the entire electrical device. This single device replaces what would traditionally require multiple specialized sensors and measurement points, reducing overall system complexity.
2Measurement precision
If single-point measurement by contact is used, then measurement precision is improved, but adaptability worsens for managing and maintaining large and complex electromechanical equipment
Solution Approach 1:
The system replaces contact-based measurement with infrared thermal imaging, enabling remote monitoring of electrical components without requiring physical access to each component. This substitution provides comprehensive coverage of complex equipment while maintaining measurement accuracy, significantly improving adaptability for equipment management and maintenance.
Solution Approach 2:
The patent transitions from one-dimensional point measurements to two-dimensional thermal image analysis. By capturing thermal distributions across the entire surface of electrical components, the system can identify abnormal temperature patterns, locate specific components, and assess overall thermal states simultaneously, providing comprehensive adaptability for complex equipment management.
3Adaptability or versatility
If comprehensive imaging is used to detect all electrical components, then adaptability and detection coverage are improved, but measurement precision and processing time worsen
Solution Approach 1:
The patent segments the electrical device into multiple operation blocks, each containing specific electrical components. The system processes thermal images by analyzing each operation block separately, identifying components within defined regions. This segmentation maintains comprehensive coverage while improving identification precision through focused analysis of specific component areas.
Solution Approach 2:
The patent introduces an intermediary processing layer that combines thermal image data with operational block information. By mediating between the comprehensive thermal imaging and specific component identification, the system achieves both wide detection coverage and precise component localization through correlated analysis of thermal patterns and operational context.
4Reliability
If continuous monitoring is implemented, then reliability and safety are improved, but energy consumption and time loss worsen
Solution Approach 1:
The system implements periodic thermal imaging rather than continuous monitoring. The infrared imaging module captures thermal images at scheduled intervals, processing only the changes between periods. This periodic action maintains fire prevention reliability by detecting temperature abnormalities while significantly reducing energy consumption compared to continuous real-time monitoring.
Solution Approach 2:
The patent incorporates feedback mechanisms where the cloud server analyzes thermal images and provides assessments of abnormal electrical components. This feedback loop enables the system to focus monitoring resources on areas showing abnormalities, improving reliability through targeted monitoring while reducing overall energy consumption by avoiding unnecessary continuous scanning of normal components.
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
Prevents human and financial losses, reduces industrial safety events, and enhances operating efficiency by accurately detecting and addressing abnormal electrical components.
Implementation Method 1
acquires temperature values of the plurality of electrical components in the second image by means of image identification
Data Source
AI summary
Provided are an electrical fire prevention and detection system and method. The electrical fire prevention and detection system includes an image acquisition device and a cloud server. The image acquisition device is configured to acquire a plurality of images of an electrical device in operation. The electrical device in operation includes a plurality of operation blocks, and each of the plurality of operation blocks includes a plurality of electrical components. The cloud server is coupled to the image acquisition device and configured to identify an abnormal electrical component and position in the plurality of images and provide an assessment report of the abnormal electrical component. Thereby, the disclosure prevents human and financial losses caused by failures of electrical components, reduces the occurrence of industrial safety events, avoids industrial manufacturing disturbances and improves operating efficiency.