Satellite Model Generation With Plausibility-Constrained 3D Variation
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Solution Overview
Problem
Existing technologies are incapable of programmatically generating high volumes of digital 3D models of satellites with a wide variety of plausible configurations, including hypothetical designs, and are limited to real-world objects that can be photographed.
Innovation Solution
A satellite model generation system that uses pseudo-random number generators to create a plurality of 3D satellite models based on configuration parameters and plausibility constraints, enabling the generation of hundreds of thousands of realistic and diverse satellite configurations in less than an hour.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual sculpting or photogrammetry methods are used to generate 3D satellite models, then model accuracy and realism are improved, but productivity and the ability to generate high volumes of diverse models are severely limited
Solution Approach 1:
The system changes the fundamental parameters of model generation by transitioning from manual/photogrammetry-based approaches to an automated algorithmic system that uses configuration parameters and plausibility constraints to generate diverse satellite models rapidly while maintaining realism through structured parameter control
Solution Approach 2:
The model generation system performs self-service by automatically generating diverse satellite configurations without requiring manual sculpting or physical objects for photogrammetry, using automated algorithms to create plausible models directly from parameter specifications
2Manufacturing precision
If photogrammetry is used to generate 3D models from photographs, then realistic representations of existing objects are achieved, but the ability to generate hypothetical and diverse satellite configurations is lost
Solution Approach 1:
The system enables parameter changes by allowing configuration of various satellite parameters (such as body shape, component types, and geometric properties) to generate diverse hypothetical satellite designs while maintaining visual realism through plausibility constraints that ensure generated models look authentic
Solution Approach 2:
The generation system achieves universality by being able to create multiple types of satellite configurations (communication satellites, Earth observation satellites, different body shapes, various component arrangements) from a single automated system, rather than being limited to capturing specific existing objects
3Manufacturing precision
If manual sculpting methods are used to create individual 3D models, then high model quality is achieved, but the time required to generate even a single model is excessive
Solution Approach 1:
The system replaces the mechanical manual sculpting process with an automated computational system that uses algorithms and configuration parameters to generate models, eliminating the need for manual manipulation while maintaining model quality through structured parameter control and plausibility constraints
Data Source
AI summary
A method for satellite model generation includes generating a plurality of satellite generation values based on an input seed value. Using a satellite model generation system, a plurality of different three-dimensional (3D) satellite models are generated, wherein the plurality of different 3D satellite models differ according to a plurality of satellite configuration parameters, and wherein, for each 3D satellite model of the plurality of different 3D satellite models, the satellite configuration parameters of the 3D satellite model are determined based at least in part on the plurality of satellite generation values and a plurality of configuration plausibility constraints of the satellite model generation system. The plurality of different three-dimensional (3D) satellite models are output.