Fire Risk Assessment Distribution for Network-Resilient Response

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Solution Overview

Problem

Current risk assessment systems for fire events are limited in providing detailed structural and fire behavior risk assessments, often relying on vegetative fuel conditions and lacking redundancy in information distribution, which can hinder emergency response effectiveness.

Innovation Solution

Implementing machine learned algorithms to generate continuous variable risk assessments and distributing this information through redundant formats, including physical, electronic, and network-accessible means, tailored for various emergency personnel devices and communication capabilities.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If risk assessment information is distributed through network-based systems, then information accessibility is improved, but system reliability deteriorates due to network failures

Engineering Contradiction:
Improveinformation accessibilityVSAvoidsystem reliability
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The risk assessment information is segmented and distributed across multiple formats (physical copies at information distribution stations, electronic files on portable media, and network-accessible databases). This segmentation ensures that if one distribution channel fails, other channels remain available, resolving the contradiction between accessibility and reliability.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system changes the physical state and accessibility parameters of the same information through multiple formats: printed physical copies for offline access, electronic files on portable media for mobile access, and network-based databases for centralized access. This multi-parameter approach maintains reliability while improving accessibility.

Inventive Principle:
Principle #35Parameter changes

2Productivity

If detailed risk assessment information is provided to emergency personnel, then response effectiveness is improved, but information distribution complexity increases

Engineering Contradiction:
Improveresponse effectivenessVSAvoidinformation distribution complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

Risk assessment information is prepared and distributed in advance to information distribution stations and portable media devices before emergency events occur. This preliminary action ensures that detailed information is immediately available during emergencies without requiring complex real-time distribution systems.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system creates multiple copies of risk assessment information in different formats (physical prints, electronic files, database records) and distributes them through multiple channels. This copying approach provides comprehensive information without requiring a single complex distribution system.

Inventive Principle:
Principle #26Copying

3Reliability

If redundant information distribution channels are implemented, then system reliability is improved, but device complexity increases

Engineering Contradiction:
Improveinformation availabilityVSAvoiddistribution system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The information distribution system is designed with multi-functionality, where a single risk assessment framework generates information that can be distributed through multiple channels (physical stations, electronic media, network access). This universal approach improves reliability without requiring separate complex systems for each distribution channel.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS12547910B2Distributing structure risk assessment using information distribution stations
Publication Date: 2026.02.10 FLAMEMAPPER LLC
  • US12547910B2 patent drawing
  • US12547910B2 patent drawing
  • US12547910B2 patent drawing

AI summary

One or more aspects of the present application relate to systems and methods for collecting, processing and generating information regarding risk assessments related to fire events. More specifically, one or more aspects of the present application relate to processing of inputs to generate assessments corresponding to a characterization of risk for individual structures within a defined region. Other aspects of the present application relate to processing of inputs to generate assessments corresponding to a modeling or characterization of fire behavior risk within a defined region. Such assessments of structural risk or fire behavior risk can be utilized in accordance with fire mitigation or personnel organization response to structural risk or fire behavior risk.