Tool Management System Using Real-Time Sensor Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional tool management systems are static and dispersed, leading to inefficient tool usage and increased productivity and cost issues due to the inability to real-time calculate and adjust tool parameters during processing changes.
Innovation Solution
A tool management system that includes a reader, receiver, storage unit, processor, and control unit to read and process tool index codes, real-time process information, and execute a weighting algorithm to determine remaining tool life, sending control instructions for optimal usage and replacement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional static tool management method is used, then system simplicity is maintained, but tool utilization efficiency deteriorates and productivity is reduced
Solution Approach 1:
The patent implements dynamic tool management by continuously monitoring tool parameters (vibration, temperature, current) in real-time during machining operations. The system dynamically adjusts tool usage decisions based on actual condition data, transitioning from static predetermined management to adaptive real-time management, thereby improving tool utilization efficiency without excessive complexity
Solution Approach 2:
The system establishes a feedback loop where sensor data from tools (vibration, temperature, current consumption) is continuously collected, processed, and used to adjust tool management decisions. This feedback mechanism enables real-time optimization of tool usage, allowing the system to respond to actual tool conditions and extend tool life while maintaining high productivity
2Duration of action of stationary object
If real-time monitoring and weighting algorithm are implemented, then tool life optimization is improved, but system complexity and cost increase
Solution Approach 1:
The system enables tools to self-monitor their own conditions through integrated sensors that track vibration, temperature, and current consumption. Each tool essentially serves itself by providing data about its own health status, eliminating the need for complex external inspection systems and reducing overall system complexity while extending tool life through data-driven management
Solution Approach 2:
The patent employs a weighting algorithm that dynamically changes parameters (weights) based on different tool conditions and machining scenarios. By adjusting the importance of various parameters (vibration, temperature, current) according to actual conditions, the system optimizes tool life predictions and management decisions without requiring overly complex fixed-rule systems
3Loss of information
If conventional dispersed management is used, then system simplicity is maintained, but information completeness deteriorates and cost control is impacted
Solution Approach 1:
The patent merges previously dispersed tool management functions into a unified centralized system that collects and processes all tool-related information (static specifications and dynamic operational data) in one location. This consolidation eliminates information silos and ensures complete tool information availability while maintaining manageable system complexity through integrated architecture
Solution Approach 2:
The management system is designed with multi-functionality, serving as a universal platform that handles diverse tool types, multiple sensor data streams, various machining parameters, and different decision-making requirements. This universal approach consolidates multiple specialized systems into one versatile platform, improving information completeness without proportionally increasing complexity
Data Source
AI summary
A tool management system of machine tools includes a reader, a receiver, a storage unit, a processor and a control unit. The reader is configured for reading at least one category parameter of the tool according to a tool index code of the tool. The receiver is configured for receiving real-time process information of the tool with a preset periodicity. The storage unit is configured for storing the tool index code, the category parameter, and the real-time process information. The processor is configured for processing a weighting algorithm to obtain a result according to the category parameter and the real-time process information. The control unit is configured for sending a control instruction according to the result.