Here are the key technologies enabling real-time data collection in solar panel systems:
1. IoT Devices
- Smart inverters: Continuously track energy conversion efficiency and output.
- Weather sensors: Monitor irradiation levels, temperature, and environmental conditions.
- Energy meters: Measure real-time power generation and consumption.
2. Data Transmission Systems
- Cloud computing: Enables centralized storage and processing of streaming data.
- Wireless networks (e.g., Wi-Fi, cellular, LPWAN): Facilitate instant data transfer from field devices to central platforms.
3. Analytical Infrastructure
- AI algorithms: Detect anomalies and predict performance issues using machine learning models.
- Computer vision: Analyzes visual data from infrared/thermal cameras to identify panel defects or shading issues.
- Real-time dashboards: Provide visualized performance metrics accessible via web/mobile apps.
4. Integration Tools
- Edge computing devices: Pre-process data locally to reduce latency before cloud transmission.
- APIs: Connect solar monitoring software with SCADA systems and weather forecasting services.
System Workflow
IoT sensors collect data → Wireless networks transmit to cloud → AI processes information → Dashboards display actionable insights, enabling immediate response to efficiency drops or faults.
Original article by NenPower, If reposted, please credit the source: https://nenpower.com/blog/what-specific-technologies-are-used-for-real-time-data-collection-in-solar-panels/
