Maire Tecnimont Group’s main EPC contractor Tecnimont and Siemens Italy ahve signed a Memorandum of Understanding to offer cutting-edge digital predictive maintenance services to help clients increasing plant operability and reducing maintenance costs.
The agreement calls for the two companies to work together on a specified number of feasibility studies and to identify a list of clients to be targeted for a joint commercial proposition thus, to promote the application of predictive maintenance technology to monitor critical plant assets.
Siemens’ predictive analytics is based on machine learning algorithms that can identify normal operating and faults conditions based on asset’s historical data and provide an early warning alarm to catch potential equipment glitches before they become a problem and cause the asset’s loss, and in the worst-case scenario, the loss of plant’s production.
Maire Tecnimont will leverage its expertise as an Engineering, Procurement and Construction (EPC) contractor in the natural resource transformation industry, to supply plant owners with artificial intelligence applications, based on Siemens predictive analytics technologies, for assets monitoring, performance evaluation and equipment maintenance.
This “open innovation approach” leverages on key technologies to find the best solutions for a plant owner’s particular needs or business environment. The results are tangible benefits such as improved production efficiency, more effective maintenance, a safer work environment, easier emissions control, and more effective training.
With this MoU, Maire Tecnimont Group continues to improve its portfolio of digital services offering clients a new digital value proposition to help them manage the energy transition by ramping up plant efficiency as well as ensuring environmentally best performing product and processes.