Machine Tool State Detection with Adaptive Feature Catalogs
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Solution Overview
Problem
Existing machine tool operating state determination systems struggle to accurately assess the state of facilities under varying conditions such as different installation locations, processing types, and work materials, due to the large number of possible combinations requiring separate determination criteria.
Innovation Solution
A facility state determination device that includes a catalog storage unit, a catalog control unit, a feature quantity extraction unit, a sensor data processing unit, a feature quantity tuning unit, and a catalog updating unit, which uses versatile catalogs and feature quantity distributions to accurately determine the state of machine tools by tuning and updating the feature quantities based on sensor data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If determination criteria are prepared in advance for each model of machine tool, then the determination process is simplified, but determination accuracy deteriorates due to variations in installation location, processing type, and work material
Solution Approach 1:
The patent implements dynamic determination criteria that automatically adapt to different operating conditions. The system dynamically selects and adjusts determination criteria based on real-time sensor data and operating parameters, rather than using static pre-defined criteria. This allows the system to maintain high determination accuracy across various machine tool models, installation locations, and processing types without increasing operational complexity.
Solution Approach 2:
The system changes determination parameters based on operating conditions by using multiple determination criteria with different thresholds and parameters. The appropriate criteria are selected based on the specific operating state, allowing the system to accurately determine machine tool states across diverse conditions while maintaining a manageable determination process.
2Measurement precision
If determination criteria are prepared for each combination of model, installation location, processing type, and work material, then determination accuracy is improved, but the number of criteria and system complexity become unmanageably large
Solution Approach 1:
The patent creates a universal determination system that can handle multiple machine tool models, installation locations, processing types, and work materials through a single integrated framework. The system uses a plurality of determination criteria that can be selectively applied based on operating conditions, rather than requiring separate criteria for each specific combination. This universal approach maintains high determination accuracy while keeping the system complexity manageable.
Solution Approach 2:
The determination criteria are segmented into multiple categories or groups that can be selectively applied. Instead of having one monolithic set of criteria for every possible combination, the system divides criteria into manageable segments that can be combined or selected based on the specific operating context, reducing the overall complexity while maintaining comprehensive coverage.
3Ease of manufacture
If a fixed determination criterion is used for all machine tools of the same model, then the system is easy to implement, but it cannot accurately determine states under varying conditions
Solution Approach 1:
The system transitions from static to dynamic determination criteria that automatically adapt to varying conditions. The determination criteria are designed to dynamically select appropriate parameters and thresholds based on real-time operating data, enabling the system to accurately determine machine tool states under diverse conditions while maintaining ease of implementation through automated selection logic.
Solution Approach 2:
The system performs self-adjustment by automatically selecting and adapting determination criteria based on the operating conditions it detects. The machine tool state determination system serves itself by autonomously configuring the appropriate determination parameters without requiring manual intervention for each specific condition, thus maintaining ease of implementation while achieving high adaptability.
Data Source
AI summary
A device includes a catalog storage unit that stores a catalog having versatility; a catalog control unit that specifies the catalog corresponding to a target machine tool to be subjected to state determination based on machine tool information including an item of facility type and acquires the catalog from the catalog storage unit; a feature quantity extraction unit that extracts a feature quantity from sensor data detected from the target machine tool; a sensor data processing unit that performs state determination of the target machine tool based on the feature quantity distribution included in the acquired catalog and the feature quantity extracted from the sensor data; a feature quantity tuning unit that performs tuning of the feature quantity distribution by mapping the extracted feature quantity to the feature quantity distribution; and a catalog updating unit that updates the catalog based on the feature quantity distribution after tuning.