UAV Thermal Imaging for Fire Area Sub-division
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current unmanned aerial vehicles (UAVs) used in fire scenes face reduced accuracy in extracting fire information due to smoke interference, which hinders effective fire management and risk assessment.
Innovation Solution
A data processing method that utilizes thermal imaging to obtain temperature distributions of fire areas, divides the area into sub-areas based on temperature levels, and projects these sub-areas onto a map, allowing for improved fire information extraction and risk assessment by distinguishing different fire levels and predicting fire spread.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If RGB images are used for fire scene information extraction, then the system is simple and easy to operate, but the accuracy of fire information extraction is reduced due to smoke interference
Solution Approach 1:
The patent introduces thermal imaging technology as an intermediary detection method that operates independently of visible light conditions. The thermal imaging device captures heat radiation from the fire area, allowing firefighters to obtain accurate temperature distribution data even when smoke blocks visible light cameras. This intermediary approach bypasses the harmful effect of smoke on optical imaging.
Solution Approach 2:
The patent replaces the optical imaging system (RGB cameras) with a thermal imaging system that detects infrared radiation. This substitution changes the detection mechanism from capturing reflected visible light to detecting thermal energy emitted by the fire area, thereby eliminating smoke interference that affects optical systems.
2Measurement precision
If thermal imaging is used to obtain temperature distribution, then the accuracy of fire information extraction is improved, but the device complexity increases
Solution Approach 1:
The patent integrates multiple functions into a single thermal imaging system. The thermal imaging device not only captures temperature distribution but also enables fire area identification, risk assessment, and real-time monitoring. This multi-functionality reduces the need for separate detection devices and simplifies the overall system architecture despite the advanced capabilities.
Solution Approach 2:
The patent divides the fire area into multiple sub-areas based on temperature distribution, assigning different risk levels to each sub-area. This segmentation approach allows for detailed analysis and targeted response strategies while managing the complexity of large-scale fire scenes through systematic zone classification.
3Measurement precision
If the fire area is divided into sub-areas with different fire levels, then the risk assessment accuracy is improved, but the data processing complexity increases
Solution Approach 1:
The patent applies different risk levels and response strategies to different sub-areas based on their specific temperature characteristics. Each sub-area is analyzed and treated according to its local conditions rather than applying a uniform approach to the entire fire area. This local quality approach improves risk assessment accuracy by capturing spatial variations in fire intensity.
Solution Approach 2:
The patent uses temperature distribution as a key parameter to automatically classify and divide the fire area into different risk levels. By changing the parameter from uniform treatment to temperature-based classification, the system achieves more accurate risk assessment while using automated algorithms to manage the processing complexity.
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
Enhances the accuracy of fire information extraction and risk assessment by providing real-time, smoke-independent thermal imaging data, facilitating better personnel evacuation, property protection, and fire management strategies.
Implementation Method 1
obtain a thermal image of a fire area through an aerial vehicle, obtain a temperature distribution of the fire area based on the thermal image
Data Source
AI summary
A control method includes obtaining a thermal image of a fire area through an aerial vehicle, obtaining a temperature distribution of the fire area based on the thermal image, dividing the fire area into a plurality of sub-areas based on the temperature distribution of the fire area, and projecting the plurality of sub-areas on a map including the fire area displayed by a control terminal. The plurality of sub-areas have different fire levels.