在石化能源的產量逐漸下降及因應經濟發展的需求，能源的發展已經逐步邁向再生能源方向前進，其中太陽能裝機容量占再生能源的比例僅次於水力發電，除了持續建設大量的太陽能電廠以供經濟發展與民生使用外，也需思考太陽能發電系統將制定一套完善的維護項目供太陽能設備能夠長久的運行並提升可靠性，透過如何藉由定時的案場檢測項目、太陽能板清潔及運用監控系統中的各項量測數據分析統計以維持太陽能電廠的最佳發電性能與太陽能系統的效益，因此維護與運轉的目的是使太陽能電廠能維持在一定的發電效能之上。

有鑑於此，本研究旨在研究如何檢測太陽能系統故障及維護項目，其中包含：(1) 研究維護運轉的建議指南，(2) 監控系統的相關設置，(3) 撰寫故障診斷相關程式語言相關功能，(4) 至實測場地進行測試，經測試得以證明藉由有效的故障診斷方式可以在短時間內發現故障並修繕減少發電損失，該方法可對於大型太陽能電廠在故障診斷與電廠效能評估上，提供一個具有價值的參考依據。

With the gradual decline in the output of petrochemical energy and in response to the needs of economic development, the development of energy has gradually moved towards the direction of renewable energy. Among them, the installed capacity of solar energy in renewable energy is second only to hydropower, in addition to the continuous construction of a large number of solar power plants to supply In addition to economic development and people's livelihood, it is also necessary to consider that the solar power generation system will prepare a complete set of maintenance projects for the long-term operation of solar equipment and improve reliability, and through how to test the project on a regular basis, solar panel cleaning and operation monitoring the scale measurement data in the system analyzes statistics to maintain the optimal power generation performance of the solar power generation and the benefit of the solar system. Therefore, the goal of maintenance and operation is to enable the solar power plant to maintain a certain power generation efficiency.
In view of this, the purpose of this study is to research how to detect solar system faults and maintenance items, including: (1) recommended guidelines for research and maintenance operations, (2) monitoring system related settings, (3) writing fault diagnosis related programming language function, (4) Go to the measured site, the test proves that the effective fault diagnosis method can find faults and repair in a short time to reduce power losses. This method can be used for fault diagnosis and power plant performance evaluation for large solar power plants, to provide a valuable basis for examination.

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