Digital Twin Containers for Automated Spatial Object Placement
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Solution Overview
Problem
Existing interior design tools are inefficient and time-consuming, particularly during the design phase, as they require significant effort to understand room dimensions and item placement, lacking effective automation for object placement in spatial layouts.
Innovation Solution
A method and system for generating and populating a digital twin of a spatial layout using pre-defined templates and containers, which are parametrically modified to fit the layout dimensions and constraints, allowing automatic object selection and placement based on defined types, and enabling global modifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional interior design tools are used to manually place objects in spatial layouts, then designers can achieve precise control over object placement, but the design process becomes extremely time-consuming and inefficient
Solution Approach 1:
The system pre-defines containers with associated objects and characteristics before the design process begins. These pre-configured containers can be automatically placed into the spatial layout, eliminating the need for manual object-by-object placement and significantly reducing design time
Solution Approach 2:
The system enables automatic population of spatial layouts by having the software autonomously select and place appropriate containers and objects based on predefined criteria, characteristics, and spatial constraints, without requiring continuous manual intervention from designers
2Extent of automation
If pre-defined templates and auto-population features are used to automate object placement, then design efficiency is improved, but the ability to customize and control individual object characteristics may be reduced
Solution Approach 1:
The system allows containers and objects to be dynamically modified after initial placement. Users can adjust characteristics, add or remove objects, and customize containers while maintaining the benefits of automated population, making the system adaptable to both automated efficiency and manual customization needs
Solution Approach 2:
The container concept serves multiple functions: it acts as a filter for object selection, a template for auto-population, a group for batch modifications, and a customizable unit that can be adapted to specific design requirements. This multi-functionality resolves the contradiction between automation and customization
3Productivity
If containers are used as filters to automatically select objects based on defined types, then the design process is accelerated, but the complexity of the system architecture increases
Solution Approach 1:
The container acts as an intermediary element between the spatial layout and individual objects. It simplifies the system architecture by providing a hierarchical structure where containers manage groups of objects with shared characteristics, making the overall system more organized and easier to manage despite the added layer of abstraction
Data Source
AI summary
Techniques for generating a container that includes objects, where the container is insertable into a digital twin of a spatial layout to populate the digital twin with the objects, are disclosed. A service generates the digital twin of the spatial layout. The service inserts a container having a defined type into the digital twin. The container includes one or more objects whose characteristics correspond with the defined type of the container. The service auto-populates the container by including objects. The service performs a global modification to the container within the digital twin, resulting in a first modification to a first object and a second modification to a second object.