Furnishing Layout Generation Using Occupant Traffic Pattern Analysis

Solution Overview

Problem

Current methods for generating furnishing layouts for interior spaces do not effectively consider potential traffic patterns, leading to inefficient use of space and potential collisions or bottlenecks in high-traffic areas.

Innovation Solution

A system that uses machine-readable instructions and hardware processors to analyze an interior space's model, determine potential traffic patterns, and generate a furnishing layout that optimizes furniture placement based on these patterns, incorporating features like rooms, occupants, and activity frequencies.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If furnishing layouts are generated without considering traffic patterns, then the layout generation process is simple and quick, but the resulting layout causes collisions and bottlenecks in high-traffic areas

Engineering Contradiction:

Improvetraffic flow efficiencyVSAvoidlayout generation complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system performs preliminary analysis of traffic patterns within the interior space before generating furnishing layouts. The activity component analyzes the obtained model to determine potential traffic patterns and generates an activity map that characterizes likely occupant locomotion areas and frequencies. This preliminary action ensures that furniture placement decisions are made with knowledge of expected traffic flows, preventing collisions and bottlenecks before they occur.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The activity map serves as an intermediary between the interior space model and the furnishing layout generation. This intermediate representation captures traffic pattern information in a structured format that the furnishing component can use to make informed placement decisions. The activity map translates complex traffic flow dynamics into actionable insights for furniture positioning.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Productivity

If furniture is placed without analyzing occupant locomotion patterns, then the furnishing process is faster and simpler, but space utilization becomes inefficient

Engineering Contradiction:

Improvespace utilization efficiencyVSAvoidanalysis time

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system performs preliminary analysis of traffic patterns within the interior space before generating furnishing layouts. The activity component analyzes the obtained model to determine potential traffic patterns and generates an activity map that characterizes likely occupant locomotion areas and frequencies. This preliminary action ensures that furniture placement decisions are made with knowledge of expected traffic flows, preventing collisions and bottlenecks before they occur.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system uses the generated activity map as feedback to optimize furniture placement. The furnishing component continuously references the activity map during layout generation, adjusting furniture positions based on traffic pattern information. This feedback mechanism ensures that furniture is placed in locations that maximize space utilization while maintaining efficient traffic flow.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20240012963A1Systems and methods for determining potential traffic patterns within an interior physical space and determining a furnishing layout for the interior physical space based on the potential traffic patterns

Publication Date: 2024.01.11 HOMSTER INC

AI summary

System and method for determining potential traffic patterns within an interior physical space and determining a furnishing layout for the interior physical space based on the potential traffic patterns. Exemplary implementations may: obtain a model characterizing an interior physical space; obtain a number of occupants utilizing the interior physical space; analyze the obtained model to determine potential traffic patterns within the interior physical space; based on the analysis of the obtained model, generate an activity map that includes a two-dimensional model characterizing the interior physical space; based on the activity map and the obtained model, determine a furnishing layout for the interior physical space; output the furnishing layout, and/or other exemplary implementations.