Fire Detection Controller Using Weighted Detector Data
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Solution Overview
Problem
Current fire detection and suppression systems face challenges in accurately locating and effectively suppressing fires due to limitations in cross-communication between detection, monitoring, and suppression systems, leading to potential inaccuracies in directing fog/jet monitors and inefficient deployment of fire suppressants.
Innovation Solution
Integration of fire detectors with fog/jet monitors and a system controller that determines the fire location using a plurality of detectors, selects the optimal detectors based on distance and angular relationships, and activates either fog or jet mode of the monitors based on distance and suppressant deployment, with feedback mechanisms using video cameras and light patterns to ensure accurate suppression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple fire detectors are used to determine fire location, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent combines data from multiple fire detectors through a system controller that integrates location information from several detectors to determine a single fire location. This merging approach improves measurement precision by cross-validating detector readings while managing system complexity through centralized processing.
Solution Approach 2:
The system controller acts as an intermediary that receives data from multiple fire detectors and processes this information to determine accurate fire location. The intermediary coordinates the complex interactions between multiple detectors and the suppression system, managing complexity while improving precision.
2Productivity
If fog/jet monitors are activated based on precise fire location determination, then productivity is improved, but device complexity increases
Solution Approach 1:
The system pre-positions fog/jet monitors and pre-programs their activation criteria based on fire location data. When a fire is detected, the appropriate monitor is already prepared and can be activated immediately, improving productivity while managing complexity through pre-planned responses.
Solution Approach 2:
The system uses feedback from fire detectors to continuously monitor fire location and adjusts fog/jet monitor activation accordingly. This closed-loop feedback mechanism improves suppression efficiency by ensuring the right monitor activates at the right time while managing system complexity through automated control.
3Measurement precision
If weighted average of detector data is used to determine final fire location, then measurement precision is improved, but loss of information increases
Solution Approach 1:
The system changes the parameter representation of fire location data by converting individual detector readings into a weighted average. This transformation improves precision by reducing random errors while the weighting scheme preserves important information from each detector by giving appropriate emphasis to more reliable readings.
Data Source
AI summary
A fire detection and suppression system includes a system controller for determining an initial location of the fire based on fire location information from fire detectors, and then the system controller determines a final location of the fire based on fire location information taking into account spatial and/or angular relationships between the fire detectors and the initial location. The system controller determines a location of the fire and activates monitors to deploy suppressant based on a distance between each of the monitors and the location of the fire. The system controller controls the monitors based on how the suppressant is deployed onto the fire.