The production management system of photovoltaic power plants can record emergency fault events, analyze historical operating data, various year month day parameter graphics and reports, calculate economic indicators of the entire power plant operation, analyze operational benefits, predict power of the power generation system, and incorporate 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 oriented, standardized and intelligent management in photovoltaic power plants.
Technical Features
1. Online monitoring: full station monitoring, inverter monitoring, combiner box monitoring, environmental monitoring, alarm information;
2. Operation management: shift handover, operation logs, work tickets, operation tickets, regular work, operation records;
3. Equipment management: equipment identification, equipment ledger, equipment defects, equipment maintenance, equipment lifecycle management;
4. Spare parts: spare parts classification, spare parts application, spare parts ledger, spare parts warehousing, spare parts outbound, spare parts inventory, spare parts utilization statistics;
5. Administrative office: handling work, emails, documents, employees, notifications and announcements, schedules, and exams;
6. Statistical analysis: electricity statistics, power station operation analysis, equipment operation analysis, power station indicator analysis, two ticket statistics, equipment defect statistics, and operation indicator statistics;
7. Report management: Monthly report of power station electricity consumption, daily report of inverter operation, monthly report of spare parts loss; Monthly report of production indicators, automatically generate annual report of indicators;
8. Decision making for capture assistance: comparative analysis of inverters, statistical comparison of power generation and radiation, analysis of power station losses, analysis of power station performance, daily load curve, and comparison of power generation.