Machine Tool Diagnosis via Sensor-to-Process Data Association
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Solution Overview
Problem
Existing machining technologies cannot effectively associate data from external sensors, such as vibration sensors, with sequence numbers that identify machining processes, hindering analysis and monitoring in machine tools.
Innovation Solution
A diagnosis device and system that includes a first acquisition unit for context information and a second acquisition unit for detection information, with an associating unit to link monitoring specifying numbers with vibration data, enabling analysis for each monitoring specifying number.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data from external sensors is collected independently without association mechanisms, then sensor data acquisition is simple and device complexity is low, but the data cannot be associated with machining process sequence numbers, resulting in loss of information about process-context relationships
Solution Approach 1:
The patent introduces a diagnosis device as an intermediary component that receives both context information from the machine tool and detection information from external sensors. This mediator performs the association between sequence numbers and sensor data, solving the information loss problem without requiring complex integration between the sensor and machine tool systems directly.
Solution Approach 2:
The diagnosis device serves multiple functions: it acquires context information from the machine tool, collects detection information from external sensors, associates these data streams, and performs analysis. This multi-functional approach consolidates the data association mechanism in a single device, avoiding the need for complex distributed association systems.
2Adaptability or versatility
If internal machine tool data is monitored using sequence numbers, then machining process identification is accurate and reliable, but external sensor data cannot be integrated into the same monitoring framework
Solution Approach 1:
The diagnosis device creates a universal data association framework that handles both internal machine tool data and external sensor data through the same sequence number-based mechanism. This allows accurate identification of machining processes while integrating diverse data sources from both internal and external origins.
Solution Approach 2:
The diagnosis device acts as a mediator that standardizes the association process for different data sources. It receives context information containing sequence numbers from the machine tool and detection information from external sensors, then performs reliable association between them, ensuring data accuracy while enabling external sensor integration.
3Loss of information
If no data association mechanism is implemented, then the system structure remains simple and ease of operation is high, but analysis of sensor data in relation to specific machining processes becomes impossible
Solution Approach 1:
The diagnosis device provides an automated intermediary solution that performs data association without requiring manual intervention. Operators simply need to input detection information, and the device automatically associates it with the correct machining process using sequence numbers, maintaining ease of operation while preventing information loss.
Solution Approach 2:
The diagnosis device performs self-service data association by automatically matching detection information with context information based on sequence numbers. This automated process eliminates the need for manual data correlation operations, maintaining operational simplicity while ensuring accurate process-context relationships are established.
Data Source
AI summary
A diagnosis device includes a first acquisition unit, a second acquisition unit, and an associating unit. The first acquisition unit is configured to acquire, from a machine tool, context information including at least a monitoring specifying number identifying a machining process. The second acquisition unit is configured to acquire detection information output from a detection unit installed for the machine tool. The associating unit is configured to associate the monitoring specifying number included in the context information acquired by the first acquisition unit and the detection information acquired by the second acquisition unit.