Scattered Light Particle Classification Using Reference Sensor Normalization
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Solution Overview
Problem
Conventional smoke detectors using scattered light signals for fire detection face challenges in accurately classifying particles due to unreliable classification and high energy consumption, often requiring expensive gas sensors and complex circuits.
Innovation Solution
A device comprising a light source and multiple optical sensors at different angles, with a reference sensor, that evaluates scattered light signals to classify particles by normalizing and comparing signal profiles, reducing the need for gas sensors and enhancing detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional scattered light sensors are used for particle classification, then the device configuration remains simple and economical, but classification reliability is poor and disturbance detection is ineffective
Solution Approach 1:
The invention divides the detection task into multiple independent optical sensors positioned at different angles (e.g., 0°, 45°, 90°, 135°, 180°) relative to the light source. Each sensor detects scattered light from a specific spatial direction, and the evaluation unit processes signals from multiple sensors to classify particles. This segmentation of the detection function into multiple angular positions enables reliable particle classification while maintaining simple sensor technology and avoiding complex gas sensors.
Solution Approach 2:
The invention adds the angular dimension to the detection system by positioning optical sensors at different angles relative to the light source. Instead of using a single sensor or expensive gas sensors, the system exploits the angular distribution of scattered light as an additional dimension for particle classification. This dimensional approach enables reliable classification using simple optical sensors, resolving the contradiction between reliability and device complexity.
2Reliability
If gas sensors are used for particle classification, then classification accuracy improves, but energy consumption increases and costs rise
Solution Approach 1:
The invention replaces gas sensors (which require chemical analysis and high energy) with optical sensors that detect scattered light. The system uses the angular distribution of scattered light from particles illuminated by a light source to classify particle types. This substitution of optical detection for chemical sensing achieves accurate particle classification while dramatically reducing energy consumption and eliminating the need for expensive gas sensor technology.
Solution Approach 2:
The invention changes the detection parameter from chemical composition analysis (gas sensors) to angular scattered light intensity measurement (optical sensors). By measuring how light scatters at different angles from particles, the system achieves particle classification based on optical properties rather than chemical analysis. This parameter change enables accurate classification with low-energy optical sensors instead of high-energy gas sensors.
3Reliability
If multiple optical sensors at different angles are used, then particle classification reliability improves, but device complexity increases
Solution Approach 1:
The invention makes each optical sensor multi-functional by positioning it to detect scattered light from multiple particle types simultaneously. The same sensor array used for detecting smoke particles can also detect dust particles, aerosols, and other airborne particulates. The evaluation unit processes signals from all sensors to classify different particle types based on their angular scattering patterns. This universality enables reliable classification of various particle types without requiring separate detection systems, maintaining simplicity while improving reliability.
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 enables reliable and economical classification of particles, reducing false alarms and energy consumption, while allowing for precise differentiation between fire and non-fire scenarios without the need for expensive gas sensors.
Implementation Method 1
a scattered light area, in which particles possibly distributed in the air could be present, is subjected to light from a light source. The sensors detect any light there may be scattered by the particles
Data Source
AI summary
A device and a method for detecting scattered light signals is specified. A light source exposes a scattered light area in which particles may be present to light. With the objective of reducing costs and improving detection accuracy, the device comprises a plurality of optical sensors for detecting scattered light and an evaluation unit for evaluating the signals detected by the optical sensors, wherein the sensors are each arranged at a sensor angle relative to the incident axis of the incident light so as to detect scattered light from the scattered light area, wherein one of the plurality of optical sensors is a reference sensor, and wherein the evaluation unit is designed to relate the signal profiles of the other optical sensors to the signal profile of the reference sensor, wherein the signal profiles of the optical sensors serve in classifying any particles which may be present in the scattered light area.