Automated Fire Detection System Design for Optimal Device Placement
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Solution Overview
Problem
Conventional fire detection systems face challenges in designing optimal placements for fire detection, suppression, and escape devices within buildings, which can lead to inefficiencies and non-compliance with safety regulations, necessitating a method to determine device numbers and locations based on fire probability and building-specific factors.
Innovation Solution
A system and method that determine the probability of a fire in a room by analyzing geometry, flammability of objects, and hazards, then calculate the required number and placement of fire detection and suppression devices, as well as evacuation points, while ensuring compliance with constraints and generating a map for device locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional manual design methods are used for fire detection systems, then designers can exercise judgment and adaptability, but the design process is time-consuming and costly
Solution Approach 1:
The patent replaces manual mechanical design processes with an automated computer-based system that uses algorithms to calculate fire probabilities and determine optimal device placements, thereby eliminating time-consuming manual calculations and iterations
Solution Approach 2:
The system transforms the design process by changing from qualitative manual judgment to quantitative automated calculation using fire probability parameters, room geometry data, and regulatory constraints to automatically determine device numbers and locations
2Reliability
If fire detection systems are designed without automated optimization, then simpler design processes are used, but device placement may not be optimal leading to compliance issues
Solution Approach 1:
The system incorporates feedback loops where the automated design algorithm continuously evaluates proposed device placements against regulatory constraints and fire probability models, adjusting placements until compliance is achieved or constraints are violated, ensuring reliable compliance through iterative optimization
Solution Approach 2:
The patent introduces an automated software intermediary that acts as a mediator between design requirements and regulatory compliance, using algorithms to translate complex regulatory standards into actionable device placement recommendations that ensure compliance without requiring designers to manually interpret regulations
3Reliability
If more fire detection and suppression devices are installed, then fire safety coverage is improved, but system cost increases
Solution Approach 1:
The system applies local quality by determining device placements based on local fire probability characteristics of different room areas, concentrating devices in high-probability zones and reducing them in low-probability areas, thereby optimizing safety coverage while minimizing the total number of devices required
Data Source
AI summary
A method of designing a fire detection system comprising: determining a probability of a fire in a room; determining a number of fire detection devices for a fire detection system within the room in response to the probability of the fire in the room; determining a number of fire suppression devices for the fire detection system within the room in response to the probability of a fire in the room; and determining a location of each of the fire detection devices within the room and a location of the fire suppression devices within the room.