Open-Connectivity Wildfire EFMS Control for Multi-Agency Response
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wildfire management systems lack integrated, efficient, and effective mechanisms for coordinating multiple variables and actors during wildfires, leading to confusion and inefficiency in data presentation and response strategies, particularly in fast-moving and unpredictable situations.
Innovation Solution
A system comprising an external fire management system (EFMS), a graphic user interface (GUI), and a control system that integrates with EFMS and GUI, enabling automated activation and coordination of fire suppression systems based on real-time, derived, and predictive data, with features like auto-activation notices, lockout plans, and interlocks to manage hydration levels and peripheral systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple different agencies or emergency response groups manage wildfire events independently, then each agency can maintain its own operational procedures and decision-making processes, but coordination and integration of response strategies become difficult and inefficient
Solution Approach 1:
The patent merges multiple independent agency operations into a single integrated emergency management system that coordinates wildfire response across different agencies. The system combines data from multiple sources, unifies command and control functions, and enables collaborative decision-making while maintaining individual agency capabilities through modular architecture.
Solution Approach 2:
The emergency management system is designed with universal functionality to handle various wildfire scenarios and support multiple agency types (fire departments, police, emergency medical services, etc.). The system provides common platforms for communication, data sharing, and coordination that work across different organizational structures and operational procedures.
2Quantity of substance
If large amounts of real-time raw data and historic raw data are collected about fire conditions, traffic, and logistics, then comprehensive information is available, but the data provides little determinative information or predictive value and creates confusion
Solution Approach 1:
The patent introduces an intermediary data processing layer that sits between raw data collection and decision-making. This intermediary layer includes algorithms and analytics engines that transform raw data into actionable intelligence, identifying patterns, predicting fire behavior, and generating determinative information that directly supports emergency response decisions.
Solution Approach 2:
The system implements feedback mechanisms where collected data is continuously analyzed and used to update predictive models and improve future predictions. The feedback loop processes raw data through analytical engines that generate insights about fire progression, resource allocation effectiveness, and emerging threats, which are then fed back into the decision-making process.
3Illumination intensity
If more and more data is presented in fancier packaging, images and graphics to make it visually stimulating, then data presentation is more engaging, but the large volume of data becomes confusing and obscures determinative information
Solution Approach 1:
The patent applies local quality by providing different levels and types of data presentation tailored to specific user needs and decision contexts. Critical determinative information is highlighted with prominent visual cues, while detailed raw data is available on demand. The interface adapts visual presentation based on the user's role, the situation's urgency, and the specific decision being made.
Solution Approach 2:
The system extracts and separates determinative information from the bulk of raw data, presenting only the most critical insights in prominent visual formats. Less critical data is available in supplementary displays or detailed reports. This extraction approach ensures that visually stimulating presentations highlight actionable intelligence rather than overwhelming users with comprehensive but undifferentiated data volumes.
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.