Flame Detection Using Light Intensity and Centroid Spatial Distribution
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Solution Overview
Problem
Existing flame detection technologies face challenges in accurately detecting flames due to interference from optical signals and environmental factors like water vapor and fine dust, leading to high costs and malfunction, and are limited in installation due to surrounding environments.
Innovation Solution
A system and method that collect and analyze light intensity, flickering, and centroid spatial distribution information from flames using a light collecting module, processor, and memory to determine the presence, scale, and direction of fires, minimizing interference and installation restrictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multi-wavelength sensors are used to reduce optical signal interference, then detection reliability is improved, but device cost increases significantly
Solution Approach 1:
The patent segments the detection process into three distinct analysis dimensions: intensity information analysis, flickering information analysis, and centroid spatial distribution information analysis. Each dimension processes specific characteristics of the optical signal independently, allowing the system to achieve comprehensive flame detection using a single sensor rather than multiple wavelength sensors.
Solution Approach 2:
The patent transitions from wavelength-based differentiation to spatial and temporal dimension analysis. By analyzing the spatial distribution of light intensity (centroid position) and temporal variations (flickering characteristics), the system achieves flame detection without requiring multi-wavelength sensors, thus reducing cost while maintaining reliability.
2Measurement precision
If multi-wavelength sensors are used to reduce optical signal interference, then flame detection accuracy is improved, but the system becomes expensive
Solution Approach 1:
The detection system segments flame identification into three independent analytical components: intensity characteristics, flickering patterns, and spatial distribution. This segmentation allows each component to be analyzed separately using a single sensor, achieving high detection accuracy without the need for expensive multi-wavelength sensor arrays.
Solution Approach 2:
The patent shifts from spectral dimension analysis (multi-wavelength) to spatial and temporal dimension analysis. By extracting flame characteristics from the spatial distribution of light intensity and temporal flickering patterns, the system achieves precise flame detection using cost-effective single-wavelength sensors.
3Reliability
If traditional flame detection methods are used, then detection speed is adequate, but environmental factors like water vapor and fine dust cause malfunction
Solution Approach 1:
The patent segments the optical signal analysis into three independent dimensions: intensity information, flickering information, and centroid spatial distribution information. By requiring consistent patterns across all three dimensions for flame detection, the system becomes resilient to environmental interference such as water vapor and fine dust that may affect individual parameters but are unlikely to simultaneously mimic all three flame characteristics.
Solution Approach 2:
The system employs feedback mechanisms by cross-validating information across multiple analysis dimensions. The processor compares and integrates results from intensity analysis, flickering analysis, and spatial distribution analysis, using this feedback to confirm or reject flame detection, thereby reducing false positives caused by environmental factors.
4Ease of operation
If heat and smoke detectors are used, then installation is straightforward, but they cannot detect fire from long distances
Solution Approach 1:
The patent employs optical sensors that detect visible light and infrared radiation emitted by flames, allowing detection from long distances. The system processes spatial distribution information of the optical signals to determine flame presence, combining the long-range detection capability of optical sensors with sophisticated signal analysis to achieve both distance and accuracy.
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
The solution provides higher flame detection accuracy at a lower cost, enabling rapid and precise fire detection without environmental interference, and allows for flexible installation, reducing fire damage and creating new market opportunities in the firefighting industry.
Implementation Method 1
a light collecting module configured to collect light emitted from flame and sense location information and intensity information of the collected light
Data Source
AI summary
Provided is a system for detecting flame, which includes a light collecting module configured to collect light emitted from flame and sense location information and intensity information of the collected light, a memory configured to store a program for determining fire information on the basis of the sensed location information and intensity information of the light, and a processor configured to calculate intensity information and fluttering information of the flame from the intensity information of the light by executing the program stored in the memory, to calculate centroid spatial distribution information of the flame from the location information of the light, and to detect whether there is flame on the basis of at least one of the intensity information of the flame, the fluttering information of the flame, and the centroid spatial distribution information.