Coordinate Measuring Device Maintenance via Digital Twin Prediction
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Solution Overview
Problem
Coordinate measuring devices require regular maintenance to ensure high reliability and precision, but existing methods often result in unnecessary downtime and unreliable measurement results due to inadequate scheduling and service practices.
Innovation Solution
A computer-implemented method and system using digital twins to analyze usage and maintenance data, predicting maintenance requirements through AI algorithms, and automatically scheduling maintenance appointments to optimize maintenance intervals for individual devices within a fleet.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If regular maintenance is performed according to fixed schedules, then device reliability is maintained, but unnecessary downtime occurs and productivity is reduced
Solution Approach 1:
The system performs preliminary maintenance actions by predicting future maintenance needs based on accumulated usage data and digital twin simulations. Maintenance is scheduled proactively before actual degradation occurs, rather than following fixed schedules, thereby maintaining reliability while minimizing unnecessary downtime and preserving productivity.
Solution Approach 2:
The maintenance schedule transitions from a static, fixed-interval approach to a dynamic, adaptive approach. The digital twin continuously updates the virtual model based on real-time usage data, allowing maintenance intervals to be dynamically adjusted according to actual device conditions, usage intensity, and environmental factors, optimizing both reliability and productivity.
2Measurement precision
If maintenance is performed frequently to ensure precision, then measurement precision is maintained, but loss of time increases and operational efficiency decreases
Solution Approach 1:
The digital twin enables self-service maintenance monitoring by continuously analyzing usage data and predicting maintenance needs without requiring manual intervention or frequent physical inspections. The system autonomously determines when maintenance is actually needed based on virtual wear and tear simulations, reducing unnecessary maintenance visits while maintaining measurement precision.
Solution Approach 2:
The system changes the parameter of maintenance timing from fixed calendar intervals to condition-based intervals. By monitoring virtual parameters in the digital twin (such as simulated component wear, usage intensity, and environmental exposure), the system adjusts maintenance timing to match actual device conditions, maintaining precision while minimizing time loss.
3Reliability
If individualized maintenance planning is implemented, then maintenance effectiveness is improved, but device complexity and data processing requirements increase
Solution Approach 1:
The system creates a virtual copy (digital twin) of each coordinate measuring device that replicates its physical characteristics, components, and usage patterns. This digital replica allows for complex individualized maintenance analysis and simulation without adding physical complexity to the actual device. The digital twin handles the computational complexity of predicting maintenance needs based on usage data, keeping the physical device simple while achieving sophisticated maintenance planning.
Data Source
AI summary
A computer-implemented method for determining maintenance requirements of a first coordinate measuring device, comprising: providing a digital-twin database comprising individual digital twins for each of a multitude of coordinate measuring devices, each device comprising a plurality of components, each individual digital twin comprising information about the individual components of the respective device; continuously receiving usage-related data regarding a usage of the multitude of coordinate measuring devices; receiving maintenance data related to maintenance events of the coordinate measuring devices; performing a maintenance analysis involving the maintenance data of at least a subset of the multitude of coordinate measuring devices, the information about the components used in the coordinate measuring devices of the subset and the usage-related data of the coordinate measuring devices of the subset; and predicting, based on a result of the maintenance analysis, maintenance requirements for the first coordinate measuring device.