Labelling System Maintenance Prediction Using Operating Value Trends
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Solution Overview
Problem
Existing labeling systems lack the ability to predict future maintenance requirements, leading to unplanned production downtimes and inefficiencies due to inadequate resource utilization.
Innovation Solution
A method utilizing an evaluation arrangement with a prediction model to forecast future maintenance instants based on operating values, allowing for early incorporation of maintenance into operation planning and reducing the risk of production downtimes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If maintenance is performed based on fixed time intervals or threshold values, then maintenance scheduling is simple, but production losses increase due to unplanned downtimes
Solution Approach 1:
The system performs preliminary analysis of operating values to predict future maintenance requirements before they actually occur. By analyzing trends in operating values (such as wear indicators, temperature, or other parameters) and extrapolating their development, the system can forecast when maintenance will be needed and schedule it proactively, avoiding both premature maintenance and unexpected breakdowns.
Solution Approach 2:
The system continuously monitors operating values from sensors in the labeling device and feeds this information back to the evaluation arrangement. This feedback loop enables real-time analysis of maintenance status and dynamic adjustment of maintenance scheduling, allowing the system to adapt to actual device conditions rather than relying on fixed schedules.
2Measurement precision
If detailed monitoring of operating values is implemented, then prediction accuracy improves, but system complexity increases
Solution Approach 1:
The evaluation arrangement is designed to handle multiple types of operating values and maintenance predictions using a unified approach. The same evaluation system can analyze different sensors, parameters, and device components, making the system versatile and reducing the need for separate specialized monitoring systems for each function.
Solution Approach 2:
The system analyzes changes in operating parameters over time to predict maintenance needs. By monitoring how parameters such as temperature, wear, or operational speed change and extrapolating these trends, the system can predict future maintenance instants without requiring complex real-time analysis of every sensor reading.
Data Source
AI summary
The invention relates to a method for operating a labelling system with at least one labelling device (1) for labelling, in particular price labelling, individual packets (2), wherein the labelling device (1) comprises, as functional units, at least one weighing arrangement (3) for determining a weight of the packet (2), a dispensing arrangement (4) for dispensing a label (5) from a material strip (6) and a printer arrangement (7) for printing the label (5), wherein the labelling device (1) comprises a sensor arrangement (13) by means of which operating values assigned to the functional units are determined and transmitted to an evaluation arrangement (14) of the labelling system. According to the invention, a future maintenance date for at least one of the functional units is predicted by means of the evaluation arrangement (14) using a predefined predictive model based on the operating values.