Constraint Programming for Fire Suppression Pipe Layout Optimization

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Solution Overview

Problem

Traditional fire suppression system design is time-consuming, costly, and relies heavily on expert knowledge, making it inefficient for optimizing pipe layouts in terms of cost, weight, and time.

Innovation Solution

A method utilizing Constraint Programming (CP) to encode the problem domain, explore solutions, and validate them using a hydraulic calculator, which includes visualizing valid solutions in 3D format, to optimize pipe layouts by filtering out unfeasible designs and determining agent flow rates.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional manual design methods are used, then expert knowledge can ensure design quality, but design time and cost increase significantly

Engineering Contradiction:
Improvedesign qualityVSAvoiddesign time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical design processes with automated computational systems. Constraint programming models and solvers automatically generate and evaluate pipe layouts, substituting human expert manual work with algorithmic optimization that maintains design quality while dramatically reducing design time.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service design automation where the constraint programming solver independently explores the design space, evaluates configurations against hydraulic constraints, and generates optimized layouts without requiring continuous human intervention or expert knowledge input.

Inventive Principle:
Principle #25Self-service

2Adaptability or versatility

If traditional iterative design processes are used, then design flexibility is maintained, but productivity decreases

Engineering Contradiction:
Improvedesign flexibilityVSAvoiddesign productivity
Core Design Contradiction:
Adaptability or versatilityVSProductivity

Solution Approach 1:

The patent implements dynamic design optimization where the constraint programming solver adaptively explores the design space based on specified constraints. The system dynamically adjusts the search strategy and evaluates configurations iteratively, maintaining design flexibility while achieving rapid convergence to optimized solutions.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system allows flexible modification of design parameters such as pipe diameters, lengths, and configurations through the constraint programming model. Users can adjust constraints and objectives, and the solver automatically re-optimizes the design, providing both flexibility and high productivity.

Inventive Principle:
Principle #35Parameter changes

3Reliability

If comprehensive design validation is performed, then solution reliability is improved, but computational complexity increases

Engineering Contradiction:
Improvesolution validityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent performs preliminary validation by encoding hydraulic constraints and design requirements directly into the constraint programming model before optimization. This pre-validation framework ensures that only feasible solutions are explored, reducing the need for extensive post-processing validation while maintaining solution reliability.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms where the constraint solver continuously evaluates configurations against hydraulic constraints and design requirements. Invalid configurations are rejected and the search space is pruned accordingly, providing continuous feedback that guides the optimization toward valid solutions without requiring complex external validation systems.

Inventive Principle:
Principle #23Feedback

Data Source

PatentEP3989134A1Constraint programming methods for optimal design configurations of distribution systems
Publication Date: 2022.04.27 COLLINS AEROSPACE IRELAND LTD
  • EP3989134A1 patent drawingFigure 1
  • EP3989134A1 patent drawingFigure 2~3
  • EP3989134A1 patent drawing

AI summary

A method (100) for optimizing a layout for a distribution pipe system is described herein, said method comprising: specifying a problem domain of the system and encoding the problem domain into a Constraint Programming "CP" model (110), producing a constraint program solver (120) and using said solver to explore the space in which the system is to be positioned and identify a problem or problems in said space, finding a solution to said problem or problems (130), and checking (135) if said solution is valid and wherein if said solution is valid. In some examples described herein, the method further comprises the step of visualising said valid solution by converting the solution into a 3D visual format (140) and outputting (150) the valid solution in said 3D format.