Servo Learning Evaluation Display for Progress Monitoring
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Solution Overview
Problem
Operators cannot monitor the progress of machine learning on servo control parameters in servo control devices for machine tools, robots, or industrial machines, as evaluation function values are not displayed until the learning process is complete, making it difficult to determine whether to continue, interrupt, or end the learning process.
Innovation Solution
An output device that acquires and displays evaluation function values from a machine learning device, allowing operators to monitor the progress of machine learning by outputting these values in real-time or at specific conditions, such as reaching a predetermined number of trials or when the smallest value is achieved, and includes a plotting unit to visualize changes over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the machine learning device performs machine learning on servo control parameters without displaying evaluation function values during the process, then the machine learning can be completed with automated processing, but the operator cannot understand the progress state and make informed decisions about continuing or interrupting the learning
Solution Approach 1:
The patent implements a feedback mechanism by displaying evaluation function values during machine learning processes. The output device receives evaluation function values from the machine learning device and displays them, providing continuous feedback to operators about the learning progress and performance, enabling informed decision-making while maintaining automated processing.
2Productivity
If the machine learning device calculates evaluation function values but does not output them until learning ends, then the computational resources can be focused on the learning process, but the operator cannot evaluate the learning progress in real-time
Solution Approach 1:
The patent introduces an output device as an intermediary between the machine learning device and the operator. This intermediary component receives evaluation function values from the machine learning device and presents them in a displayable format, bridging the gap between computational processing and human monitoring without interfering with the learning efficiency.
3Loss of information
If the system outputs multiple evaluation function values during machine learning, then the operator can comprehensively understand learning progress, but the information display complexity increases
Solution Approach 1:
The patent segments the display of evaluation function values by presenting them in a structured format with clear labels and organizational hierarchy. Multiple evaluation values are divided into distinct display elements, each representing specific learning metrics, making the comprehensive information manageable and interpretable for operators.
Data Source
AI summary
An output device with which an operator can understand a progress state of machine learning from evaluation function values is provided. The output device includes: an information acquisition unit that acquires a plurality of evaluation function values which use servo data or are calculated using the servo data from a machine learning device that performs machine learning with respect to a servo control device that controls a servo motor that drives a shaft of a machine tool, a robot, or an industrial machine; and an output unit that outputs the plurality of acquired evaluation function values. The output unit may include a display unit that displays the plurality of evaluation function values on a display screen.