AI Fire Suppression for Ember Detection and Exterior Defense
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Solution Overview
Problem
Existing fire protection systems for structures are inadequate in defending against wildfires, especially when structures are unoccupied, as they rely heavily on human intervention and struggle to efficiently protect the exterior of buildings from embers and fires approaching from a distance.
Innovation Solution
A fire suppression system that includes a controller responding to alerts and sensors, autonomously deploying water and retardant using delivery devices, and utilizing AI and robotic controls to detect and mitigate fire threats externally, with options for user or central monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous fire suppression system is deployed, then fire protection effectiveness is improved, but device complexity increases
Solution Approach 1:
The system is divided into separate functional modules: detection devices (optical sensors, AI units), control systems (base station, controller), and delivery devices (spray nozzles, water sources). Each module operates independently but coordinates through communication protocols, allowing the complex fire suppression function to be achieved through simpler, specialized components working together.
Solution Approach 2:
The delivery devices are designed to perform multiple functions: they can spray water for cooling and suppression, deploy fire retardant chemicals, and adjust spray patterns based on fire detection data. The base station serves both as a control unit and a communication hub, integrating sensor data from multiple sources and coordinating the response.
2Loss of time
If autonomous detection and suppression is implemented, then response time is improved, but loss of time for system setup and configuration increases
Solution Approach 1:
The system incorporates self-testing and self-configuration capabilities. Upon installation, the base station automatically detects connected delivery devices, configures communication protocols, and performs diagnostic tests to ensure proper operation. The AI detection units automatically calibrate their sensors and establish baseline conditions without requiring manual programming or complex setup procedures.
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
Effectively protects structures by creating a defensible area around them, efficiently using resources to extinguish embers and fires before they reach the structure, even when unoccupied, through autonomous and intelligent fire detection and suppression.
Implementation Method 1
The system may optically detect embers landing on a structure or area being defended
Implementation Method 2
delivery devices that are capable of spraying water and/or retardant at a structure or area to defend against fire
Implementation Method 3
spraying water and/or flame retardant
Data Source
AI summary
A controller responds to an alert from a remote alert system and responds to an AI unit that detects a fire signature, and, in response, sends signals to fire suppression equipment to defend a structure against fire. A delivery device system may include delivery devices that are capable of spraying water and/or retardant at a structure or area to defend against fire. The system may act autonomously to defend against wildfires. The system includes a base station accessible by a user device to take control of the system. Alternatively, a central monitoring system may access the base station to control the system in addition to or instead of the user. In an embodiment, the system automatically sprays water or retardant prior to the outbreak of a fire. The system may optically detect embers landing on a structure or area being defended and sprays the embers with retard and/or water.