Geometric Part Search Indexing for Matching Accuracy
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Modern systems for part searching are inefficient due to the complexity of variables involved in locating specific parts, leading to time-consuming processes in finding matching or best matching parts.
Innovation Solution
An apparatus and method for geometric part searching using a processor and memory to generate a search index from part specification files, mapping geometric features, and generating queries to match input parts with database entries based on geometric and dimensional thresholds, identifying matching or similar parts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional part searching methods are used to account for all variables, then comprehensive part matching is achieved, but searching time increases significantly
Solution Approach 1:
The patent segments the part specification into multiple independent variables (geometric features, dimensional elements, material properties, etc.) and processes them through separate comparison mechanisms. This allows the system to evaluate multiple part attributes simultaneously rather than sequentially, reducing overall search time while maintaining comprehensive matching accuracy.
Solution Approach 2:
The system performs preliminary processing by pre-calculating and storing key geometric features and dimensional elements of parts in a database. When a search is initiated, these pre-processed data structures enable rapid comparison without requiring real-time computation of all part variables, thus reducing searching time while preserving matching precision.
2Measurement precision
If comprehensive variable analysis is performed to locate specific parts, then accurate matching is achieved, but system complexity increases
Solution Approach 1:
The patent divides the complex part specification into multiple independent variable categories (geometric features, dimensional elements, material properties). Each category is processed through dedicated comparison logic, simplifying the overall system architecture while enabling comprehensive matching across all variables.
Solution Approach 2:
The system transforms the multi-variable part specification problem into a multi-dimensional comparison space where each dimension represents a different part attribute. This dimensional transformation allows the system to handle complexity through structured organization rather than monolithic processing, reducing system complexity while maintaining matching accuracy.
Data Source
AI summary
In an aspect an apparatus for geometric part searching is presented. An apparatus includes at least a processor and a memory communicatively connected to the at least a processor. At least a processor is configured to generate a search index as a function of a plurality of part specification files. At least a processor is configured to receive an input part specification file. At least a processor is configured to generate a query for an input part as a function of an input part specification file and a search index. A query is configured to output a comparison of an input part specification file to a part estimation specification file. At least a processor is configured to identify a matching part estimation file from a plurality of query results.


