Generative Floor Plan Analysis for Automated Equipment Placement

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Solution Overview

Problem

Conventional methods for selecting and placing equipment in building designs lack efficiency and optimization, failing to accurately identify areas of interest or disinterest and often require labor-intensive manual processes, leading to suboptimal solutions and high costs.

Innovation Solution

The implementation of systems and methods that use a combination of hardware and software to analyze floor plans, identify areas of interest or disinterest, and generate optimized equipment placement and specifications through generative analysis, machine learning, and semantic enrichment, enabling automated and customized equipment selection and placement.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If conventional manual methods are used for equipment selection and placement, then human judgment can be applied, but the process is labor-intensive and inefficient

Engineering Contradiction:

Improveequipment selection efficiencyVSAvoiddesign time consumption

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system performs automated equipment selection and placement without requiring manual intervention. The computational system analyzes floor plans, identifies areas of interest, and determines optimal equipment locations autonomously, eliminating the need for labor-intensive manual processes while maintaining high-quality design decisions

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual human judgment with an automated computational system that uses algorithms and machine learning models to analyze spatial data, evaluate functional requirements, and make equipment placement decisions. This substitution of mechanical/manual processes with automated computing dramatically improves productivity and reduces time consumption

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If conventional methods are used to identify areas of interest, then simple approaches can be implemented, but accuracy in identifying important areas is poor

Engineering Contradiction:

Improvearea of interest identification accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments the floor plan into distinct areas of interest and areas of disinterest based on functional requirements and spatial analysis. By dividing the overall space into meaningful zones with different priorities, the system achieves high identification accuracy while managing complexity through modular processing of individual areas

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces a new dimension of analysis by evaluating spatial areas based on multiple criteria including functional requirements, equipment coverage needs, and privacy considerations. This multi-dimensional approach enables precise identification of areas of interest without requiring overly complex systems, as the added analytical dimensions provide clear differentiation criteria

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

3Reliability

If conventional approaches are used for equipment placement, then simple algorithms can be applied, but optimized solutions cannot be achieved

Engineering Contradiction:

Improvesolution optimalityVSAvoidcomputational efficiency

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system performs preliminary analysis of the floor plan to identify areas of interest and establish functional requirements before proceeding with equipment selection and placement. This preliminary action enables the subsequent optimization process to focus computational resources on critical areas, achieving both high solution optimality and computational efficiency

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent employs optimization algorithms that dynamically adjust placement parameters such as equipment location, orientation, and specification based on functional requirements and spatial constraints. By changing parameters iteratively to improve objective functions, the system achieves optimized solutions while maintaining computational efficiency through intelligent search strategies

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS11599693B2Structural design systems and methods to define areas of interest for modeling and simulation-based space planning

Publication Date: 2023.03.07 BEAMUP LTD

AI summary

Structural design systems, methods, and computer readable media for selective simulation of coverage in a floor plan are disclosed. The system may include a processor configured to: access a floor plan demarcating multiple rooms; perform a machine learning method, semantic analysis, or geometric analysis on the floor plan to identify at least one opening associated with at least one room from the multiple rooms; access a functional requirement associated with the at least one opening; access at least one rule associating the functional requirement with the at least one opening; define at least one area of interest or disinterest using the at least one rule and the functional requirement; access a technical specification associated with the functional requirement; generatively analyze the at least one room, the technical specification and the area of interest or disinterest to define a solution that conforms to the functional requirement; and output the solution.