Machine Tool Operating State Comparison for Predictive Maintenance
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Solution Overview
Problem
Current maintenance technologies for machine tools do not effectively utilize collected data to provide practical insights into the operating state of drive units, limiting the ability to identify maintenance needs and potential issues before they become critical.
Innovation Solution
An information collection device and method that gathers operating state information from machine tools with drive units, compares this data based on predetermined conditions, and outputs meaningful comparison results to facilitate more practical usage and maintenance planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If operating state information is collected from machine tools, then data availability for maintenance planning is improved, but the ability to extract practical insights and identify specific maintenance needs remains insufficient
Solution Approach 1:
The patent segments the collected operating state information into multiple dimensions including time-based segmentation (different operating periods), device-based segmentation (different machine tools), and condition-based segmentation (different operating conditions). This segmentation enables targeted analysis of specific maintenance needs rather than treating all data uniformly, thereby extracting practical insights from the collected information.
Solution Approach 2:
Instead of simply accumulating data and hoping for insights, the patent inverts the approach by actively comparing and contrasting different data sets to extract meaningful information. The comparison unit systematically identifies differences and similarities between operating states, transforming raw data into actionable maintenance insights through deliberate comparative analysis.
2Productivity
If statistical analysis is performed on accumulated data, then general trends are identified, but individual case analysis and practical application are limited
Solution Approach 1:
The patent implements a feedback mechanism where comparison results are fed back into the maintenance decision-making process. The comparison unit generates detailed comparison results that provide feedback on specific operating conditions, maintenance needs, and potential issues. This feedback loop enables practical application of analyzed data by directly linking statistical findings to actionable maintenance recommendations for individual cases.
3Reliability
If maintenance is performed periodically based on general data, then basic maintenance needs are met, but timely identification of specific issues before they become critical is limited
Solution Approach 1:
The patent enables preliminary action by comparing current operating state information with historical data and reference values to identify potential maintenance needs before they become critical failures. The comparison unit detects trends and anomalies that indicate future maintenance requirements, allowing maintenance activities to be scheduled in advance based on actual device conditions rather than waiting for failures or following rigid periodic schedules.
Data Source
AI summary
Information is collected from a management target device having a drive unit such as a machine tool, and this collected information is more practically used. An information collection device includes a collection unit that collects, from management target devices having a drive unit, operating state information which is information indicating an operating state of the management target device while operating accompanying movement of the drive unit; and a comparison unit that extracts a plurality of sets of information matching in a predetermined condition from the operating state information thus collected, and outputs a comparison result of the plurality of sets of information thus extracted.