Embrace all the value of your data to effectively change your maintenance approach
WHAT YOU GET:
Cloud- based software able to predict inverter faults status before they actually occur
Most performing machine learning algorithms
Four Warning levels severity to prioritize O&M activities
Quality Index Trend to understand warning evolution
Action to solve suggestion
Easy visualization and comprehension of Machine Learning algorithms output
Optimal performance over time
Reduce loss production
Improve O&M activities thanks to proactive approach
The i-EM big data infrastructure allows to ingest and manipulate large and heterogeneous set of data from you plant collected with the most suitable solution according to your hardware and IT infrastructure. No additional hardware are required.
The system leveraged on the cutting edge machine learning algorithms produces a Key Performance Indicator of the health status of the plant as well as four warning levels according to different fault severities. Those levels effectively helps to plan prioritized maintenance across the entire solar portfolio.
The highly flexible output allows to meet your requirement. API, customized dashboards, or any other delivery format can be used.
API -> the KPI and warning severities can be delivered through API solution and integrated to your existing monitoring system / infrastructure.
Customized Dashboard -> dedicated web app / app to get immediately understanding of your assets status.