Floorplan-Based Fire Threat Modeling for Detection Placement
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Solution Overview
Problem
Conventional fire detection systems face challenges in designing and optimizing the placement of fire detection, suppression, and escape devices within buildings, which can lead to inefficiencies and non-compliance with regulations, increasing the overall system cost and risk of ineffective fire response.
Innovation Solution
A method and system that determine the probability of a fire in a room based on geometry, flammability of articles, hazards, and evacuation points, using a processor to analyze inputs such as floor plans and historical data, and generate maps displaying fire threat models, device placements, and compliance checks, ensuring optimal placement of fire detection, suppression, and escape devices while adhering to building regulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional fire detection systems use distributed components designed according to regulations, then compliance with building codes is achieved, but the system cost increases and design complexity increases
Solution Approach 1:
The system transforms fire detection from a binary compliance check to a continuous probability assessment by calculating fire threat scores based on multiple parameters (article flammability, hazard presence, room geometry, evacuation accessibility). This allows optimization of device placement and reduction of system components while maintaining or improving detection reliability through data-driven decision-making.
Solution Approach 2:
The system automatically generates fire threat models, device placement recommendations, and compliance assessments by processing floor plan data and building information. This self-service capability eliminates the need for complex manual design processes and regulatory interpretation, reducing design complexity while ensuring compliance.
2Reliability
If more fire detection devices are installed to improve coverage, then fire detection reliability improves, but system cost increases
Solution Approach 1:
The system applies different detection densities to different areas based on calculated fire threat probabilities. High-threat areas (kitchens, storage rooms with flammable materials) receive enhanced device placement, while low-threat areas use minimal or no additional devices. This localized approach maintains overall detection reliability while reducing the total number of devices required.
Solution Approach 2:
The system identifies and focuses detection resources on critical areas where fire threats are most probable, rather than providing uniform coverage throughout the building. This partial action strategy concentrates devices where they provide maximum value, reducing total device quantity while maintaining adequate overall coverage.
3Reliability
If manual design processes are used to place fire detection devices, then compliance with regulations can be achieved, but time consumption increases and cost increases
Solution Approach 1:
The system replaces manual design processes with automated computational algorithms that process floor plan data, calculate fire threats, and generate device placement recommendations. This substitution of mechanical human analysis with computational systems dramatically reduces design time while maintaining regulatory compliance through built-in code checking capabilities.
Solution Approach 2:
The system performs preliminary fire threat assessments and device placement optimizations before final system installation. By calculating fire probabilities and identifying optimal locations in advance, the system eliminates iterative design revisions and compliance checking during installation, reducing overall design time while ensuring regulatory adherence.
Data Source
AI summary
A method of determining a probability of a fire within one or more rooms of a building comprising: determining a geometry of a room in response to a floor plan: determining whether one or more articles are located within the room and a flammability of each of the one or more articles: determining whether one or more hazards are located within the room: and determining a probability of a fire in the room in response to at least one or more articles are located within the room, the flammability of each of the one or more articles, and the one or more hazards are located within the room.