Remote monitoring refers to real-time tracking of inverter performance, energy generation, grid status, weather data, and device health through a cloud-based dashboard without requiring onsite presence.
Key parameters include real-time energy output, DC/AC power, inverter status, grid frequency, temperatures, voltage and current levels, irradiation, fault codes, and communication status.
Real-time alerts, inverter fault codes, and anomaly detection help identify issues early, enabling faster troubleshooting and minimizing production losses due to outages or equipment failures.
Typical preventive tasks include module cleaning, grass cutting or vegetation control, torque checks, inverter inspections, thermal scanning, earthing verification, and cable tightening.
Preventive tasks can be scheduled based on time intervals, seasonal conditions, or performance thresholds. Digital O&M systems allow assignment tracking, checklist verification, and geo-tagged proof of completion.
Dust, soiling, or shading from vegetation reduces irradiation on modules, impacting energy yield. Monitoring KPIs such as PR, specific yield, or soiling loss helps determine optimal cleaning or grass cutting schedules.
Tasks may be initiated when KPIs such as PR, inverter uptime, or energy yield fall below defined thresholds, enabling data-driven maintenance instead of fixed calendar cycles.
Maintenance records can include timestamps, assigned personnel, status logs, inspection notes, and supporting documents, providing traceable history for audits, AMC reporting, and warranty validation.
Data protection measures may include HTTPS/TLS encryption, access control policies, authenticated login, and role-based permissions to restrict data visibility and prevent misuse.
AI insights are processed through secure cloud infrastructure. Historical datasets used for analytics can be anonymized to prevent disclosure of sensitive site or user information.
APIs may use authentication keys, permission scopes, rate limits, and request logging to ensure secure data exchange and prevent unauthorized system access.
Devices may store data locally during connectivity loss and sync it to the cloud once the connection is restored, ensuring continuity of historical performance records.
Common KPIs include Performance Ratio (PR), Capacity Utilization Factor (CUF), inverter uptime, grid availability, soiling loss, energy yield, specific yield, and temperature loss.
PR compares actual energy output to theoretical output based on irradiation and system capacity. It is used to assess system efficiency and losses caused by temperature, shading, soiling, or equipment issues.