AI-based monitoring and data analysis can improve the performance, quality and efficiency of manufacturing processes. This service supports in-process monitoring and evaluation of machining, additive manufacturing and laser-based production processes. It includes an initial analysis of the customer’s process, recommendation of suitable data acquisition (DAQ) systems and data-processing workflows, and subsequent evaluation of collected production data. Where appropriate, AI and machine-learning methods can be applied for quality assessment, anomaly detection and process control. The service helps identify process weaknesses and improvement opportunities before implementing automated quality assurance or feedback-control solutions.
Evaluation and validation of the monitored production process against agreed process and quality criteria
Identification of process weaknesses, anomalies and potential improvement opportunities
Assessment of the suitability of available data and monitoring infrastructure for AI-based quality assurance or process control
Recommendations for data acquisition, data processing and further implementation of AI-based monitoring or control methods
Technical report summarising the analysed process, applied methods, evaluation results, identified limitations and recommended improvements
Definition of customer requirements, production process and evaluation objectives
Identification of relevant process variables, quality indicators and available data sources
Customer provision of available production data, process documentation and information about existing sensors, DAQ systems and machine interfaces
Analysis of the existing monitoring and data-acquisition setup
Recommendation or configuration of suitable sensors and data-acquisition systems where required
Collection, preprocessing and analysis of production and sensor data
Real-time and/or historical data analysis using AI and machine-learning methods
Evaluation of process performance, quality indicators, anomalies and potential improvement opportunities
Where applicable, development or evaluation of AI-based quality assurance or process-control methods
Robot manufacturers, robotic cell providers and system integrators for manufacturing applications