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Real-time monitoring and analytics platform for solar photovoltaic installations, processing sensor data streams to provide performance insights and fault detection.
An end-to-end IoT monitoring solution for commercial solar PV installations that ingests high-frequency sensor data from inverters, weather stations, and energy meters to provide plant operators with real-time performance visibility and predictive maintenance alerts.
A Rust-based data ingestion service handles the high-throughput sensor data pipeline, processing thousands of data points per second with minimal resource overhead. The processed telemetry is stored in a MySQL time-series optimised schema and surfaced through a Node.js REST API consumed by a React dashboard.
A legacy PHP component integrates with existing SCADA systems and energy management tools used by the plant operators. The front-end provides interactive charts showing energy yield, performance ratio, and specific yield metrics per string and inverter, along with alert history and maintenance logs.
Fault detection algorithms compare actual vs. expected output using irradiance and temperature models, automatically raising maintenance tickets when degradation thresholds are exceeded. The system monitors over 2 MW of installed capacity across multiple sites.