Fire Suppression Fluid Targeting With Wind Compensation
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Solution Overview
Problem
Current automated firefighting equipment lacks advanced targeting techniques for aiming fire suppressing foam or water spray, and does not adequately compensate for dynamic environmental and fire suppression parameters such as gravity and air resistance, leading to inefficient fire suppression.
Innovation Solution
A fire detection and suppression system utilizing optical and thermal cameras, laser rangefinders, and anemometers to dynamically adjust the aiming of fire suppression fluid streams, considering environmental factors like wind direction and temperature, with a control system that includes computational fluid dynamics algorithms for precise targeting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automated fire suppression systems are used without advanced targeting techniques, then the system can operate automatically, but the fire suppression fluid does not reach the target accurately causing resource waste and collateral damage
Solution Approach 1:
The system continuously monitors fire position, wind conditions, and fluid trajectory, then adjusts aiming parameters in real-time to maintain accurate targeting despite environmental changes
Solution Approach 2:
The system pre-calculates trajectory compensation for gravity, air resistance, and wind effects before discharge, and pre-positions the fire suppression fluid stream to account for environmental factors before the fluid is released
2Reliability
If environmental factors are not compensated for, then the system operation is simpler, but the fire suppression fluid is affected by wind and gravity causing inaccurate delivery
Solution Approach 1:
Environmental sensors continuously monitor wind speed, temperature, and humidity, feeding this data to the control system which adjusts aiming parameters to compensate for these factors
Solution Approach 2:
The system dynamically changes aiming parameters such as angle and velocity based on real-time environmental conditions to maintain accurate fire suppression fluid delivery
3Reliability
If the fire suppression system does not track dynamic fire conditions, then the system operation is simpler, but the fire moves away from the target area reducing suppression effectiveness
Solution Approach 1:
The system continuously tracks fire position and movement, feeding this information back to the control system which adjusts the fire suppression fluid stream trajectory in real-time to maintain contact with the moving fire
Solution Approach 2:
The system transitions from static aiming to dynamic tracking, continuously adjusting the fire suppression fluid stream direction and angle to follow the moving fire while accounting for environmental factors
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
Enables precise and efficient fire suppression by compensating for environmental factors, ensuring the fire suppression fluid reaches the target accurately, conserving resources and minimizing collateral damage.
Implementation Method 1
anemometers to dynamically adjust the aiming of fire suppression fluid streams, considering environmental factors like wind direction and temperature
Implementation Method 2
laser rangefinders, and anemometers to dynamically adjust the aiming of fire suppression fluid streams
Implementation Method 3
lacks advanced targeting techniques for aiming fire suppressing foam or water spray, and does not adequately compensate for dynamic environmental and fire suppression parameters such as gravity and air resistance
Implementation Method 4
lacks advanced targeting techniques for aiming fire suppressing foam or water spray, and does not adequately compensate for dynamic environmental and fire suppression parameters such as gravity and air resistance
Data Source
AI summary
A fire detection and suppression system operates in independent autonomous modes or under human command. Optical, thermal and laser based sensors detect fire conditions. Anemometers and thermometers detect environmental conditions, allowing the system to adjust the flow of fluid from the system to the targeted flame or condition. Algorithmic analysis of the input data in connection with such preselected thresholds permits rapid detection of fire conditions and in automatic modes triggers a suppression response. A feedback loop enhances adjusts for dynamic flame and environmental conditions.