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
Definition of customer needs, requirements, monitored system and evaluation objectives
Identification of relevant physical quantities, process variables, measurement points and required data acquisition frequency
Customer provision of available process and equipment documentation, existing sensor and measurement data, relevant machine or communication interfaces, and information about existing sensing and data-acquisition infrastructure
Definition of required data quality, sampling parameters and relevant operating conditions
Analysis of the existing sensing and data-acquisition setup
Selection or configuration of suitable sensing, data-logging and data-acquisition solutions
Data collection using available TUO sensing and data-logging infrastructure and, where required, the customer’s equipment or process
Signal preprocessing, data cleaning and data-quality evaluation
Advanced signal and data processing for process or component-level analysis
Machine-learning model training and evaluation where relevant to the agreed use case
Evaluation of collected information for optimisation, condition monitoring, modelling or detection of adverse operating conditions
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.