Computing Product Layout Generation Under Thermal and Physical Constraints
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Solution Overview
Problem
Existing information handling systems lack an efficient method to generate customized configurations that consider thermal mapping and physical constraints of computing components, leading to suboptimal performance and design inefficiencies.
Innovation Solution
A method involving image analysis, thermal mapping, and iterative permutation of computing component layouts to generate data tables for optimal configurations, considering physical constraints and thermal relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Temperature
If traditional configuration methods are used for computing products, then the design process is simple, but thermal performance optimization and component placement optimization cannot be achieved
Solution Approach 1:
The patent replaces manual configuration methods with an automated computer-based system that uses image processing and algorithmic permutation to generate optimized layouts. The system automatically analyzes product images, identifies components, and generates multiple configuration options based on thermal and physical constraints, eliminating the need for manual thermal analysis and component placement optimization.
Solution Approach 2:
The system changes the approach from fixed manual configuration to dynamic parameter-based optimization. It extracts thermal characteristics, physical dimensions, and component specifications as parameters, then uses these parameters to iteratively generate and evaluate multiple layout permutations, optimizing thermal performance and component placement based on quantitative criteria rather than subjective design decisions.
2Manufacturing precision
If manual configuration methods are used, then implementation is straightforward, but configuration accuracy and optimization capability are insufficient
Solution Approach 1:
The system performs preliminary actions by pre-extracting product information from images, pre-identifying components and their specifications, and pre-establishing thermal and physical constraints before the actual configuration generation. This preliminary processing enables rapid and accurate generation of multiple optimized configurations without requiring time-consuming manual analysis during the configuration phase.
Solution Approach 2:
The patent substitutes manual configuration review and validation with automated image processing and algorithmic verification. The system uses computer vision to accurately identify components and their positions, and employs optimization algorithms to automatically evaluate and rank multiple configuration options based on thermal performance and physical constraints, achieving high configuration accuracy without manual intervention.
3Productivity
If customized configurations considering thermal mapping and physical constraints are generated, then thermal performance and component placement are optimized, but the complexity of the generation process increases
Solution Approach 1:
The patent segments the configuration generation process into distinct modular stages: image processing and component identification, extraction of thermal and physical constraints, generation of layout permutations, evaluation of configurations based on constraints, and selection of optimal configurations. This segmentation allows each module to be independently developed and optimized, reducing overall system complexity while enabling comprehensive thermal and physical constraint consideration.
Solution Approach 2:
The system replaces complex manual thermal analysis and component placement optimization with automated computer-based algorithms. It uses image processing to extract thermal mapping data, employs optimization algorithms to evaluate multiple permutations against thermal and physical constraints, and automatically generates optimized configurations, thereby achieving high design efficiency without proportionally increasing process complexity.
Data Source
AI summary
Method of generating configurations of computing products, including receiving images of a particular layout of the computing product; analyzing the particular layout, including identifying computing components of the computing product and determining a thermal mapping of the computing product; identifying physical constraints associated with the computing components of the computing product; identifying product profile of the computing product that indicates, for each computing component, features of the computing component; iteratively permutating, based on the physical constraints associated with the computing components and the thermal mapping, the particular layout to define permutated layouts; iteratively permutating each of the permutated layouts based on combinations of features of each of the computing components of the particular layout; generating, for the computing component, data table indicating each of the permutated layouts of the computing product and each of the combinations of features of each of the computing components of each of the permutated layouts.