EcoStruxure™ Asset Advisor by Schneider Electric allows to implement effective preventive and predictive maintenance strategies.

 

Electrical infrastructure is a vital system for industry: operational 24 hours a day, 7 days a week, it guarantees production continuity and the security of people and assets. Today, unplanned downtime and its high associated costs can be avoided by developing maintenance strategies that exploit the IIoT and innovative digital platforms to create condition-based monitoring services.

In this way, potential problems can be addressed before they turn into security risks or impact operations, by monitoring a very wide range of critical assets: from transformers to control panels to motor protection units.

With EcoStruxure Asset Advisor, Schneider Electric offers industrial companies a solution that enables customers to implement effective preventive and predictive maintenance strategies.

The Ecostruxure Asset Advisor cloud service combines a digital platform able to process a huge quantity of data with Schneider Electric's experience in the domain of field service. This solution exploits the potential offered by device connectivity, next-generation sensors and predictive analysis to acquire and process critical asset data in order to anticipate possible malfunctions and production downtime.

Preventive maintenance services make it possible to anticipate maintenance needs, obtain 24/7 visibility of site performance and implement targeted actions, thanks to real-time data and intelligent alarm monitoring. Threats can be identified, energy consumption managed, and related reports issued. And with one more step, the performance of critical resources can be monitored and security guaranteed by applying predictive analysis algorithms to anticipate malfunctions, create condition-based maintenance strategies and continually improve electrical systems management  with the proactive support of Schneider Electric experts.

Schneider Electric
Via Circonvallazione Est, 1 – Stezzano (BG)
www.se.com/it 

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