研究目的
To present a novel IoT-based architecture for real-time monitoring and management of large-scale solar photovoltaic systems, enabling stakeholders to remotely control and monitor these systems and evaluate environmental effects.
研究成果
The proposed IoT-based architecture is efficient, scalable, and cost-effective for real-time monitoring of large-scale solar photovoltaic systems, with low network delay and resource consumption.
研究不足
The study focuses on the technical feasibility and resource consumption of the proposed architecture but may not address all potential cybersecurity threats or the scalability limits in extremely large deployments.
1：Experimental Design and Method Selection:
The study utilized an IoT-based architecture with MQTT for communication.
2：Sample Selection and Data Sources:
Implemented in a solar farm setting with edge devices collecting data on solar panel performance and environmental conditions.
3：List of Experimental Equipment and Materials:
Raspberry Pi-based edge stations, sensors (temperature, humidity, solar irradiance, dust, current, voltage), actuators, and MQTT for communication.
4：Experimental Procedures and Operational Workflow:
Edge devices published data to a middleware infrastructure for processing and analysis, with a web application for remote monitoring.
5：Data Analysis Methods:
Evaluated in terms of network delay, resource consumption, and system performance.
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