研究目的
To design a remote data acquisition system for solar plant using internet of things to monitor the health of solar power plant and reduce energy loss.
研究成果
The use of internet of things for monitoring solar PV modules is essential for reducing human efforts and increasing the reliability of energy obtained from solar. The system provides a cost-effective IoT platform for monitoring plant performance, enabling the scheduling of operation and maintenance activities based on real-time data. Future enhancements could include remote control functionalities for the plant.
研究不足
The system's effectiveness is dependent on the reliability of internet connectivity for real-time monitoring. Additionally, the system currently focuses on monitoring and does not include remote control functionalities.
1：Experimental Design and Method Selection:
The design involves using Raspberry Pi3-B model as the central computer to gather data from various sensors including EM1200 Multifunction meter, BH1750 light sensor, and DHT11 humidity and temperature sensor. The data is stored in SQLite database and pushed to the server via IoT.
2：Sample Selection and Data Sources:
Data is collected from sensors monitoring line and phase voltages, power factor, active and reactive power, solar irradiance, humidity, and temperature.
3：List of Experimental Equipment and Materials:
Raspberry Pi3-B, EM1200 Multifunction meter, BH1750 light sensor, DHT11 humidity and temperature sensor, RS485 converter.
4：Experimental Procedures and Operational Workflow:
Sensors are connected to Raspberry Pi3-B, which collects data every 5 seconds, stores it in SQLite database, and pushes it to the web server for real-time monitoring.
5：Data Analysis Methods:
Data is analyzed and represented in graphical format on a webpage for better understanding and analysis.
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