Fire Detection System Using Multi-Sensor Fusion for Suppression Selection
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Solution Overview
Problem
During fire emergencies, responding personnel often select inappropriate extinguishing agents due to unidentified fire types, leading to potential adverse effects, as they may choose agents nearby without considering the specific fire type, such as water for flammable liquids or electrical equipment fires.
Innovation Solution
A method and system that utilize a plurality of sensors, including thermographic, Doppler, and hydrocarbon sensors, to detect fire conditions, classify the fire type, and determine the appropriate suppression agent type, providing a notification to first responders through a user interface or fire alarm panel to ensure the selection of the correct extinguishing agent.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are used to detect fire conditions and classify fire type, then the accuracy of fire type identification is improved, but the device complexity increases
Solution Approach 1:
The fire detection system is segmented into multiple specialized sensors, each detecting specific fire characteristics (thermal imaging for temperature distribution, Doppler for smoke particle velocity, hydrocarbon for chemical composition). This segmentation allows each sensor to focus on particular aspects of fire detection, improving overall identification accuracy while maintaining manageable complexity through modular design
Solution Approach 2:
The sensor system is designed with multi-functionality where the integrated sensor array can detect multiple fire types (Class A, B, C, D, K) and provide comprehensive fire condition assessment. The system universally handles different fire scenarios by processing data from all sensors to classify fire type, suppressant category, and urgency level, making a single system adaptable to various fire situations
2Loss of time
If rapid fire type classification is implemented to assist immediate response, then the response time is reduced, but the processing complexity increases
Solution Approach 1:
The system performs preliminary classification actions by continuously monitoring sensor data and pre-processing information to identify fire characteristics before emergency response is initiated. The sensor array continuously scans for thermal anomalies, smoke particles, and hydrocarbon signatures, preparing fire type classifications in advance so that when a fire event occurs, the system can immediately provide classification results without requiring complex real-time analysis during the emergency
Solution Approach 2:
The system implements feedback mechanisms where sensor data is continuously processed and compared against known fire type patterns. The classification algorithm receives feedback from multiple sensor inputs and adjusts its classification based on the combined evidence, providing rapid and accurate fire type identification through iterative processing that converges quickly on the correct classification
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 system effectively processes sensor data to accurately classify fire types and recommend suitable suppression agents, enhancing the likelihood of appropriate agent selection and reducing the risk of adverse outcomes during fire emergencies.
Implementation Method 1
receiving a plurality of sensor data from a plurality of sensors operable to detect one or more fire conditions... at least one thermographic sensor
Implementation Method 2
at least one Doppler sensor... determining whether a Doppler development time is above an upper rate limit based on the sensor data from the at least one Doppler sensor
Data Source
AI summary
According to an aspect, a method of fire type detection and notification includes receiving a plurality of sensor data from a plurality of sensors operable to detect one or more fire conditions. One or more changes in the sensor data are detected from at least one of the sensors. A fire type is classified based on the one or more changes detected in the sensor data. A suppression agent type associated with the fire type is determined. A notification including the fire type and the suppression agent type is output.