Predictive monitoring of production plants is possible with the help of digital tools such as tablets.
Predictive monitoring of production plants is possible with the help of digital tools such as tablets.

Polymer company Covestro says that it plans to continue a pilot project it set up in in Caojing, China, looking into the predictive and intelligent maintenance of systems.

The company also plans to digitalize and integrate what it calls ‘the system landscape’ in production, reportedly improving efficiency and lowering cost.

‘The collection and analysis of data has become increasingly important in recent years,’ said Dr Klaus Schäfer, CTO. ‘The expansion of our intelligent and integrated data management increases plant availability and makes production processes more efficient.’

According to Convestro, ‘predictive maintenance’ of systems can become more reliable in combination with machine learning and artificial intelligence. In the company’s pilot project, temperature and vibration sensors installed in a large engine of the production plant transmitted their collected data on the condition of the engine during operation to software, enabling the team to predict possible engine failure eight months in advance.

This story uses material from Covestro, with editorial changes made by Materials Today. The views expressed in this article do not necessarily represent those of Elsevier.