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Raycatch uses artificial intelligence technology for PV power plant O&M
TIME£º2019-10-10    VIEWNUM£º55    SOURCE£ºPV-TECH

By Mark Osborne   Oct 09, 2019 4:17 PM BST

Raycatch has introduced ¡®DeepSolar 2.0,¡¯ a fully automated, AI-based diagnostic software program for cost-optimized maintenance and monitoring of photovoltaic power plants. Raycatch, which is backed by BayWa r.e., developed the next-generation of DeepSolar, its AI-based Software as a Service (SaaS) solution.


Problem


The software supports solar plant owners by providing them with comprehensive ROI information and data-driven operational insights. In addition, the diagnostic system can identify the sources behind technical issues, outline issue resolutions, evaluate costs and make prioritized recommendations based on plant owners' respective needs.


Solution


DeepSolar is a diagnostic software program for cost-optimized maintenance of PV power plants. The AI-based algorithm uses data generated by existing monitoring systems to enable optimization of operation and maintenance ¨C replacing interval-based maintenance with a cost-efficient responsive approach that is designed to analyze and perform accurate diagnostics on the high influx of complex data from PV systems.


Applications


PV power plant O&M. 


Platform


DeepSolar 2.0 comprises features that make it possible to successfully identify and break down all components affecting solar plant performance ¨C and group them back together to create an extensive, coherent picture. The software supports solar plant owners by providing them with comprehensive ROI information and data-driven operational insights. In addition, the diagnostic system can identify the sources behind technical issues, suggest solutions, evaluate costs and make prioritized recommendations based on plant owners¡¯ respective needs.


Availability


Currently available.