Shared Design Model Collaboration Scores
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Solution Overview
Problem
Current generative design software is not configured for multi-user collaboration, leading to designs that do not balance the requirements of all stakeholders due to complex interfaces and rigid input parameters, resulting in infeasible or incomplete solutions.
Innovation Solution
A distributed computing system with a shared design model that includes pre-defined selectable block items, allowing multiple users to modify a shared design model in real-time, computing collaboration scores based on participant actions, and displaying the design space with scores to facilitate collaborative design solutions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If current generative design software is used with complex interfaces and rigid input parameters, then design precision and control are improved, but ease of operation and multi-user collaboration are worsened
Solution Approach 1:
The system segments the design interface into simplified components that allow users to contribute domain knowledge without needing to understand the complex backend parameters. Each user interacts with simplified input forms tailored to their expertise area, while the system handles the complex parameter coordination behind the scenes.
Solution Approach 2:
The system introduces an intermediary layer that translates between simple user inputs and complex design parameters. This intermediary processing layer allows users to provide high-level requirements without directly manipulating complex technical parameters, thereby maintaining design precision while improving ease of operation.
2Device complexity
If current generative design software is used with tightly coupled backend and complex interface, then design control is improved, but adaptability to multi-user collaboration is worsened
Solution Approach 1:
The system architecture is segmented into independent modules: user input handling, collaboration coordination, and generative design processing. This segmentation allows the complex backend to remain intact while adding multi-user collaboration capabilities through separate coordination layers that manage multiple participants' contributions.
Solution Approach 2:
The system creates a universal collaboration framework that can accommodate multiple users with different expertise areas. This framework provides standardized interfaces for various user types (domain experts, designers, stakeholders) while maintaining the core generative design functionality, thereby increasing adaptability without sacrificing system complexity management.
3Ease of operation
If single-user design process is used, then ease of operation is improved, but the quality and completeness of design solutions are worsened due to lack of diverse domain knowledge
Solution Approach 1:
The system merges multiple users' domain knowledge and perspectives into a single collaborative design process. By combining inputs from domain experts, designers, and stakeholders, the system generates more reliable and complete design solutions while maintaining ease of operation through standardized collaboration interfaces.
Solution Approach 2:
The system implements feedback mechanisms where multiple users can review, comment on, and refine design solutions iteratively. This feedback loop ensures that diverse domain knowledge is incorporated into the final design, improving solution quality while maintaining an accessible operation process for all participants.
Data Source
AI summary
In various embodiments, a computer-implemented method comprises receiving, during a real-time collaboration session, a first input associated with a first selectable component, where the first selectable component is included in a set of pre-defined selectable components associated with a shared design model, and the first selectable component is a first component type that includes a first set of characteristics, in response to receiving a confirmation of the first input, modifying the shared design model to generate a modified shared design model, where the modified shared design model includes the first selectable component, computing, based on the modified shared design model, a set of metrics including a first behavioral metric, computing, based on the set of metrics, a first collaboration score for a first participant and at least one other participant, and displaying a design space that includes the modified shared design model and the first collaboration score.