Pre-Build Parameter Relationships for Adaptive Robotic Production
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Solution Overview
Problem
Existing modeling environments fail to maintain explicitly defined relationships between parameters of a structure during production, leading to structural and functional issues due to deviations from planned values.
Innovation Solution
A computing system receives input data specifying pre-build relationships between parameters, determines post-build observed values, and updates build values accordingly to ensure that explicit relationships are maintained during production, using sensors and robotic systems to adjust feature production accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If implicit relationships between parameters are defined in modeling environments, then the structure can be designed with desired relationships, but the relationships are not maintained during production due to deviations from planned values
Solution Approach 1:
The system performs preliminary actions by defining explicit pre-build relationships between parameters before production begins. These relationships are established in the modeling phase and then actively maintained during build time through continuous monitoring and adjustment, ensuring that parameter relationships are preserved even when individual parameter values deviate from planned values.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring actual parameter values during production and comparing them against the explicit pre-build relationships. When deviations are detected, the system provides feedback to adjust the production process to maintain the desired parameter relationships, thereby ensuring structural and functional integrity.
2Reliability
If explicit pre-build relationships are defined and maintained during production, then structural and functional relationships are preserved, but the system complexity increases due to additional monitoring and adjustment mechanisms
Solution Approach 1:
The system achieves universality by creating a multi-functional framework that handles multiple tasks: defining pre-build relationships, monitoring parameter values during production, detecting deviations, and coordinating adjustments. This unified approach manages complexity through integration rather than separate specialized components for each function.
Solution Approach 2:
The system manages complexity through parameter changes by dynamically adjusting parameter values during production based on the explicit pre-build relationships. Rather than fixing all parameters rigidly, the system allows flexible adjustment of individual parameters while maintaining the relationships between them, reducing the need for complex rigid control mechanisms.
Data Source
AI summary
Described herein are methods and systems to establish a pre-build relationship in a model that specifies a first parameter for a first feature of a structure and a second parameter for a second feature of the structure. In particular, a computing system may receive data specifying a pre-build relationship that defines a build value of the first parameter in terms of a post-build observed value of the second parameter. During production of the structure, the computing system may determine the post-build observed value of the second parameter and, based on the determined post-build observed value, may determine the build value of the first parameter in accordance with the pre-build relationship. After determining the build value, the computing system may then transmit, to a robotic system, an instruction associated with production of the first feature by the robotic system, with that instruction specifying the determined build value of the first parameter.