To transform the data collected through IIoT solutions into true added value we use a consolidated methodological approach involving several stages:
- Technological analysis of the customer's production/industrial assets
- Analysis of monitoring parameters and metrics. If necessary, special applications are studied and developed using measuring instruments to feed the algorithms for predictive monitoring or for continuous process optimisation functions
- Parameter correlation related to maintenance, state of the components, energy consumption and production efficiency
- Study and construction of prototypes for component stress tests
- Development of customised Cloud solutions for data collection
- Data mining services and setup of Machine Learning algorithms during the prototyping phases
- Remote maintenance and process digital engineering services
Through 10-year projections, the methodological approach can highlight the advantages to the customer, such as the reduction of operating costs, cycle times or an increase in production efficiency.