Heating Detection Using Physics-Based Thermal-Visual Analysis
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Solution Overview
Problem
Outdoor detection of heating activity in materials is challenging due to interfering factors like varying weather conditions and natural temperature variations, making it difficult to accurately detect temperature increases or heating phenomena using thermal cameras, which are typically used for shape and motion detection rather than temperature-based monitoring.
Innovation Solution
A method and system that utilize a physics-based model to analyze temperature changes in video data, accounting for ambient temperature and visual data to generate detection signals, and include steps for estimating ambient temperature and compensating for environmental influences to isolate heating activity, using infrared sensors and visual data to distinguish genuine heating from disturbances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If thermal cameras are used for outdoor temperature-based detection, then heating activity can be detected, but environmental disturbances (weather conditions, day-night cycle, rain, sun) cause false detections and reduce measurement precision
Solution Approach 1:
The patent segments the temperature detection process into multiple components: environmental temperature detection, object temperature detection, and differential analysis. By separating the environmental temperature profile from the object temperature profile and analyzing their differences, the system can identify genuine heating activity while filtering out environmental disturbances. This segmentation allows the system to maintain reliability in detecting heating activity while preserving measurement precision by comparing relative temperature changes rather than absolute values.
2Difficulty of detecting and measuring
If thermal cameras are used for shape and motion detection, then detection capability is good, but temperature-based detection capability is insufficient for safety monitoring
Solution Approach 1:
The patent merges shape-based detection and temperature-based detection into a unified monitoring system. By combining the strengths of thermal cameras for shape and motion detection with the invention's temperature analysis methodology, the system achieves both good detection capability and reliable temperature monitoring. The integration allows the system to use shape and motion information to contextualize temperature changes, improving overall reliability for safety monitoring applications.
3Device complexity
If outdoor thermal detection is performed without environmental compensation, then system complexity is low, but false notifications increase due to environmental factors
Solution Approach 1:
The patent applies preliminary action by detecting and analyzing environmental temperature patterns before they interfere with object temperature detection. The system continuously monitors environmental temperature and establishes baseline profiles in advance, allowing it to compensate for environmental disturbances when analyzing object temperature changes. This preliminary environmental characterization reduces false notifications while maintaining relatively simple system architecture.
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 effectively filters out environmental disturbances, enabling earlier and more accurate detection of heating activity, reducing false notifications and allowing for timely intervention in potential fire scenarios by focusing on temperature increases specific to the objects being monitored.
Implementation Method 1
The invention relates to a method for detecting the heating activity in objects or materials, based on thermal only or thermal and visual data images
Implementation Method 2
based on a physics-based model of the underlying heating phenomena within objects or materials such as for instance absorption and emissivity
Implementation Method 3
based on a physics-based model of the underlying heating phenomena within objects or materials such as for instance absorption and emissivity
Data Source
AI summary
The invention relates to a method for detecting the heating activity in objects or materials, based on thermal only or thermal and visual data images. The method is based on a physics-based model of the underlying heating phenomena within materials or objects, while taking into account disturbing factors of natural phenomena such as weather conditions and day and night cycle. The invention also relates to a corresponding system for detecting the heating activity in objects or materials.