Fire Suppression Nozzle Placement Optimization
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Solution Overview
Problem
Conventional fire suppression system design processes are manual and resource-intensive, leading to inefficiencies and increased costs due to the lack of automated tools for determining optimal nozzle placement and piping layouts within building maps while adhering to constraints.
Innovation Solution
A web-based system that uses an optimizer to determine nozzle and piping placements within fire suppression systems by analyzing building information and constraints, providing real-time feedback through user interfaces for selecting placement strategies and activating alerts for constraint violations, and generating compliance reports.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual design processes are used for fire suppression systems, then design flexibility and human judgment are maintained, but time consumption and resource waste increase significantly
Solution Approach 1:
The system enables self-service design by automatically determining optimal nozzle placements and piping layouts based on building maps and constraints, eliminating the need for manual design processes while maintaining design quality through algorithmic optimization
Solution Approach 2:
The patent replaces manual mechanical design processes with an automated computing system that uses algorithms to optimize nozzle placement and piping routes, substituting human labor with computational processing to achieve faster and more consistent results
2Productivity
If automated optimization is implemented for nozzle placement, then design time is reduced, but system complexity increases
Solution Approach 1:
The system achieves multi-functionality by integrating multiple design tasks (nozzle placement optimization, piping route determination, constraint validation, and code compliance checking) into a single automated platform, reducing overall system complexity despite the advanced capabilities provided
3Manufacturing precision
If comprehensive constraint checking is performed, then compliance accuracy is improved, but computational resources are consumed
Solution Approach 1:
The system performs preliminary action by checking constraints and compliance requirements during the design optimization process itself, rather than performing separate validation steps afterward, which reduces redundant computational resources while maintaining comprehensive compliance accuracy
Data Source
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AI summary
A method of determining placement of nozzles within a fire suppression system comprising: determining a geometry of a room in response to a floor plan; determining a type of fire suppression agent required in response to at least one of articles in the room and hazards in the room; determining an amount of fire suppression agent required in response to at least one of the articles in the room, hazards in the room, the geometry of the room, average temperature in the room, and average pressure within the room; and determining a number of nozzles, a type of each of the nozzles, a location of each of the nozzles within the room in response to at least the amount of fire suppression agent required.