Predictive monitoring of plant equipment to identify events and avoid failures. Early malfunction identification results in reliability, safety and performance improving of the assets, while reducing the maintenance costs.
-Analysis and filtering of alerts by experts, avoiding false positives and optimizing the workflow.
-Early detection, diagnosis and prediction of deviations.
-Flexible architecture guaranteeing high safety standards.
-Thanks to the early identification of degradations, the time to act is maximized by mitigating the possible damage.
-Reduced maintenance costs by allowing for earlier planning of actions and replacement of components, avoiding unplanned downtime.
The electrical generation sector is facing a future of disruptive changes with the implementation of more renewable energy, a higher demand of electricity due to more electric transport and newly developed storage technology. Power plant digitalization In this context, conventional power plants ...Read more
Our world is changing at an unprecedented speed, involving challenges such as the population growth, the environmental degradation and the economic recession. As society becomes more reliant on technology, the progressive electrification and decarbonization of economy will intensify leading to a ...
The digital copy that enhances and improves the performance of the reality being replicated. The term «digital twin» seems to be a magic concept in this era of digitalization; in fact, the «digital twin» has been named as one of the Top 10 Strategic Technology Trends for 2017 by Gartner. The trut...
The power generation industry is currently facing the need to reduce operating costs while maintaining the safety and availability of power plants. Considering the high performance of non-manageable renewable power plants (solar and wind) that have been in operation over the last two decades, mos...