Flame Detector Using Silicon Photodiodes and Signal Processing
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Solution Overview
Problem
Existing flame detectors are costly and limited in their ability to distinguish fire from non-fire optical sources, often requiring specialized sensors and filters, and are not effective in sensing fires beyond burning hydrocarbons.
Innovation Solution
The use of low-cost nearband infrared and visible light photodiodes in conjunction with amplitude-based temporal signal processing algorithms to detect the presence of flames, allowing for reliable fire detection in indoor environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If specialized sensors (lead-salt quantum sensors, thermopiles, pyroelectric sensors) and narrowband thin-film optical interference filters are used, then measurement precision and reliability of fire detection are improved, but device cost and complexity increase
Solution Approach 1:
The patent replaces expensive specialized sensors (lead-salt quantum sensors, thermopiles, pyroelectric sensors) with inexpensive silicon-based photodiodes. This substitution dramatically reduces device cost and complexity while maintaining adequate detection capability through software-based signal processing algorithms that compensate for the simpler sensor's limitations
Solution Approach 2:
The patent replaces physical optical interference filters with software-based spectral analysis. Instead of using narrowband thin-film optical interference filters to separate wavelengths, the system uses digital signal processing on broadband photodiode output to identify fire signatures, eliminating complex optical filtering hardware
2Reliability
If multi-sensor detectors with specialized sensors and filters are used, then reliability of distinguishing fire from non-fire sources is improved, but device cost increases
Solution Approach 1:
The patent makes a single broadband photodiode perform multiple functions that previously required multiple specialized sensors. The photodiode detects multiple wavelengths simultaneously, and software algorithms process the broadband signal to identify different fire types and distinguish from non-fire sources, replacing multi-sensor configurations
Solution Approach 2:
The patent changes the detection approach from using multiple sensors with fixed spectral responses to using a single sensor with software-based parameter analysis. The system varies and analyzes signal parameters (amplitude, frequency, temporal patterns) to achieve reliable fire detection and discrimination without additional hardware
3Measurement precision
If specialized narrowband thin-film optical interference filters are used, then measurement precision for specific fire types is improved, but ease of manufacture and device cost worsen
Solution Approach 1:
The patent replaces expensive narrowband thin-film optical interference filters with inexpensive silicon photodiodes that have broad spectral response. The manufacturing process is simplified as photodiodes are standard semiconductor components, whereas narrowband filters require complex deposition processes and precise alignment
Solution Approach 2:
The patent uses software algorithms to create virtual spectral filtering capabilities. Instead of physical filters that block certain wavelengths, the system digitally processes the broadband photodiode signal to extract fire-specific patterns, effectively copying the filter function in the digital domain
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 solution provides a cost-effective and reliable method for detecting flames by using inexpensive silicon photodiodes and processing algorithms, effectively distinguishing fire conditions in controlled environments.
Implementation Method 1
visible light and near band infrared to provide prompt and reliable reporting of the presence of flames
Data Source
AI summary
A flame detector incorporates visible and near infrared sensors in common with processing circuits to form processed instantaneous, dc type, signal values minus an average value and peak-to-peak ranges of values of ac-type signals over a measurement time interval on the order of three seconds. The resulting values are further processed to determine the presence of a fire condition by comparing them to a predetermined threshold.


