Wildfire Control Network for Predictive EFMS Activation
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Solution Overview
Problem
Existing wildfire management systems lack integrated, efficient, and effective strategies to manage complex multi-variable, multi-actor events during wildfires, particularly in populated areas, due to overwhelming amounts of raw data that provide little predictive value and confusion in data presentation, leading to difficulties in creating comprehensive emergency response plans and training exercises.
Innovation Solution
A system integrating external fire management systems (EFMS) with a control system and graphic user interface (GUI) for automated activation and deactivation based on predictive and derived data, including lockout plans and interlocks, to manage wildfire risks and suppress fires.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple external and internal fire management systems are integrated and controlled during wildfires, then wildfire mitigation efficiency is improved, but system complexity increases
Solution Approach 1:
The patent combines multiple fire management systems (external fire management systems and internal fire suppression systems) into a unified networked system. The control system integrates data from multiple sources including fire detection devices, weather stations, and GPS trackers to coordinate responses across multiple structures and locations, thereby improving overall wildfire mitigation efficiency through systematic integration.
Solution Approach 2:
The control system is designed to perform multiple functions: it manages external fire management systems, activates internal fire suppression systems, coordinates water resource allocation, tracks evacuation routes, and provides real-time monitoring. This multi-functional approach allows a single system to handle diverse wildfire mitigation tasks, improving efficiency without proportionally increasing complexity.
2Measurement precision
If real-time data and predictive information are processed and integrated, then decision-making accuracy is improved, but information processing complexity increases
Solution Approach 1:
The system implements continuous feedback loops where fire detection devices, weather stations, and other sensors provide real-time data to the control system. The control system processes this information, generates predictive analytics about fire behavior and resource needs, and automatically adjusts fire management system operations accordingly. This feedback mechanism enhances decision-making accuracy by continuously refining responses based on current conditions.
Solution Approach 2:
The control system automatically processes and integrates data from multiple sources without requiring manual intervention for each decision. It self-manages the coordination of fire suppression systems, water resource allocation, and evacuation routing by autonomously analyzing incoming data and executing predetermined response protocols, thereby improving decision accuracy while limiting the growth of processing complexity through automation.
3Loss of time
If automated activation plans are implemented for fire management systems, then response time is reduced, but control flexibility is reduced
Solution Approach 1:
The system employs pre-configured automated activation plans that are established before wildfire events occur. These plans include predetermined thresholds for fire detection, pre-mapped evacuation routes, and pre-allocated water resources. When conditions meet these pre-set criteria, the system automatically activates appropriate fire management systems, significantly reducing response time by eliminating delays associated with manual decision-making during critical moments.
Solution Approach 2:
While maintaining automated activation capabilities, the system incorporates dynamic adjustment features that allow operators to modify activation thresholds, resource allocation, and response protocols in real-time based on evolving wildfire conditions. This dynamic capability preserves control flexibility by enabling adaptive management of the automated systems, allowing the balance between automation and manual control to shift as situational needs change.
Data Source
AI summary
There is provided networks, systems and displays for providing derived data and predictive information for use in emergencies; and in particular for use in wildfire emergencies. More particularly, there is provided systems, equipment and networks having a control system having an operation control command plan for performing an operation plan. in embodiments the operation plan can be a hydration plan, a lockout plan, a low line pressure plan, an adjacent structure based plan, an auto-activation notice with default activation plan. In an embodiment there is provided a parcel by parcel control and optimization of the EFMS for a particular area.