The software uses process models (Digital Twin), current and historical measurement data, unstructured information (operator logs) and expert knowledge to:
Support preparation of measurement data and data from other sources such as operator logs for synthesis and validation of models with limited manual effort
Notify about events requiring personnel response, including initiating diagnostic or repair orders – after connection to CMMS
Suggest desired actions to operators in a given situation – based on knowledge repository including previous actions and their effects
Early detect anomalies warning about approaching machine and equipment failures as well as irregularities in the technological process. Effectively - thanks to combination of technological, engineering knowledge and advanced computational methods, including those based on machine learning (ML) and artificial intelligence (AI) algorithms
