This service supports the analysis, deployment and testing of intelligent sensing systems for manufacturing processes and industrial equipment. Appropriate selection of sensors, measurement parameters and data acquisition frequency enables relevant information to be collected and processed for process and component-level optimisation, condition monitoring and detection of adverse operating conditions. The collected data can also be used for advanced signal and data processing, machine-learning applications, system modelling and the development of virtual models. The service helps customers establish a reliable data basis for monitoring, optimisation and further AI-based applications. The service starts with the definition of the customer’s use case, available sensing infrastructure, required measurements and evaluation objectives.
Collected and processed sensing data relevant to the agreed industrial use case
Assessment of data quality and suitability for monitoring, optimisation or modelling
Identification of relevant patterns, operating conditions or potential anomalies in the measured data
Trained data-driven or machine-learning model where applicable to the agreed use case
Processed data and model outputs suitable for further optimisation, condition monitoring or virtual system development
Manufacturing companies, machine and equipment manufacturers, industrial technology providers and system integrators seeking to use sensing and production data for condition monitoring, process optimisation, predictive analysis or system modelling.