Server Machining Result Database Frequency Sorting
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Solution Overview
Problem
Beginner operators face significant challenges in finding suitable machining conditions for cutting processes due to the lack of readily available, satisfactory machining result information in conventional systems, leading to inefficient search times for appropriate settings.
Innovation Solution
A server system connected to machines via a network, sharing a database with machining result information and use frequency data, which extracts and presents relevant information based on operator input conditions, allowing for the creation of machining programs that prioritize frequency and expert evaluations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If machining result information is extracted and presented in ascending order of machining time and descending order of machining accuracy, then machining efficiency is improved, but the satisfaction of beginner operators is not guaranteed as it does not reflect expert preferences or frequent usage patterns
Solution Approach 1:
The patent changes the sorting parameters from单纯的 machining time and accuracy to include use frequency and expert evaluation results. This transforms the information presentation from a purely objective metric-based system to one that incorporates operational experience and expert judgment, making it more suitable for beginner operators who need reliable, proven machining conditions.
Solution Approach 2:
The system implements feedback mechanisms by collecting and analyzing expert operator evaluations and usage data. The machining result information is continuously refined based on feedback from experienced operators, creating a self-improving database that adapts to actual operational needs and preferences rather than relying solely on theoretical optimization metrics.
2Reliability
If a comprehensive database of machining result information is maintained to provide more options, then the quality of information increases, but the time required for beginners to search and evaluate options increases
Solution Approach 1:
The system performs preliminary sorting and filtering of machining result information based on use frequency and expert evaluations before presentation to operators. This pre-processing of information reduces the cognitive load on beginner operators by presenting only the most relevant and reliable options first, eliminating the need for them to manually evaluate comprehensive datasets.
Solution Approach 2:
The patent creates a simplified representation of comprehensive machining data by generating ranked lists based on expert evaluations and usage patterns. Instead of presenting all raw data, the system creates a curated copy or summary that captures the essential information in an easily consumable format, maintaining reliability while reducing search time.
Data Source
AI summary
A server is connected to machines that perform cutting machining via a network. A common database shared by the machines is stored in the server, the database includes machining result information used in steps included in a cutting machining process performed by the machine and information on a use frequency of the machining result information. A machining result information presentation request to present machining result information that satisfies cutting conditions input by an operator of the machine is received from the machine. When the machining result information presentation request is received, the machining result information that satisfies the cutting conditions is extracted from the database and is presented to the machine based on the use frequency of the machining result information. A machining program is created based on machining result information selected by the operator among pieces of machining result information from the machine and is presented to the machine.