Photovoltaic power plant production management system

The photovoltaic power station production management system can record emergency fault event alarms, analysis of historical operating data, various year, month and day parameter graphics and reports, calculation of economic indicators for the entire power station operation, operation benefit analysis, and power prediction of the power generation system. ,
and incorporates production process management into it, including operation management, maintenance management, indicator statistics, identification coding and other functions. This product is the first to achieve digital, process, standardization and intelligent management in photovoltaic power plants
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Technical features
.Online monitoring:
Full station monitoring, inverter monitoring, combiner box monitoring, environmental monitoring, alarm information
.Operation management: shift handover, operation log, Work tickets, operation tickets, regular work, operation records
3. Equipment management: equipment identification, equipment ledger, equipment defects, equipment maintenance, equipment life cycle management
. Spare parts: spare parts classification, spare parts application , spare parts ledger, spare parts storage, spare parts shipment, spare parts inventory, spare parts utilization statistics
. Administrative office:
Agency work, emails, documents, employees, notices and announcements, schedules, exams
/> .Statistical analysis:
Power statistics, power station operation analysis, equipment operation analysis, power station indicator analysis, two-vote statistics, equipment defect statistics, operation indicator statistics
.Report management: monthly power station power report, inverse Inverter operation daily report, spare parts loss monthly list
Monthly report of production indicators, automatic generation of annual indicator report
. Decision-making assistance: comparative analysis of inverters, comparison of statistical power generation and radiation, power station Loss analysis, power station performance analysis, daily load curve, power generation comparison.