Machine Tool Component Evaluation for Flexible Process Management
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Solution Overview
Problem
Current machine tool management methods are inflexible and based on manual, on-site inspections, leading to lag and uncertainty in managing key components and processing processes, and are unable to accurately reflect the true state and performance changes of machine tools, especially in flexible processing conditions.
Innovation Solution
A comprehensive machine tool management method that determines target components, generates evaluation results based on preset processing rules, and applies management rules based on type and attribute information, including multi-level evaluations and data preprocessing, to achieve accurate and robust management across various processing conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual regular inspections and planned maintenance are used, then ease of operation is maintained, but measurement precision and reliability of machine tool management deteriorate
Solution Approach 1:
The patent replaces manual mechanical inspection methods with an automated multi-signal monitoring system that collects vibration, acoustic emission, and other operational signals. This substitution enables precise, real-time measurement of machine tool states without requiring manual intervention, thereby improving measurement precision while maintaining ease of operation.
Solution Approach 2:
The patent introduces signal processing algorithms and data fusion techniques as intermediaries between raw sensor data and management decisions. These intermediaries transform multi-source signals into comprehensive machine tool state evaluations, enabling accurate measurement and assessment without direct manual inspection.
2Device complexity
If single-type signal monitoring is used, then device complexity is reduced, but measurement precision and adaptability to flexible machine tools deteriorate
Solution Approach 1:
The patent merges multiple signal sources (vibration signals, acoustic emission signals, operational parameters) into a unified monitoring framework. By combining these diverse signals through data fusion techniques, the system achieves comprehensive and precise measurement of machine tool states, overcoming the limitations of single-signal monitoring while managing complexity through integrated processing.
Solution Approach 2:
The patent creates a universal monitoring framework that can handle multiple signal types and adapt to various machine tool configurations. This multi-functional system processes different signal categories using standardized algorithms, enabling precise measurement across diverse applications without proportionally increasing device complexity.
3Device complexity
If single-variable analysis is used, then device complexity is reduced, but adaptability to various flexible machine tool processing conditions deteriorates
Solution Approach 1:
The patent transitions from single-variable analysis to multi-dimensional evaluation by incorporating multiple signal types, multiple features per signal, and multiple processing levels. This dimensional expansion enables the system to adapt to various machine tool conditions and processing scenarios, providing comprehensive insights while managing complexity through structured data organization and processing hierarchies.
Data Source
AI summary
A machine tool management method, a machine tool management system and a medium are disclosed, the machine tool management method including: determining at least one target component of a machine tool; generating an evaluation result of the machine tool according to a preset processing rule based on the determined at least one target component; for each target component of one or more target components in the at least one target component, acquiring a target evaluation result corresponding to the target component from the evaluation result of the machine tool; determining a preset management rule based on the target evaluation result and type information and attribute information of the target component, and managing the target component according to the preset management rule.