针对传统光伏发电系统现场监测方法现场作业工作量大、数据分析难度高等问题，探索高质量的光伏发电系统监测方式，促进实现对光伏发电系统的电智能化管理并保障其运行稳定。依托广州市机电技师学院“源网荷”一体智能光伏实验室电网项目，设计构建光伏发电系统远程监测平台，在平台各功能模块中综合运用物联网、云计算、大数据等现代信息技术，并在平台实践应用中重视相关可能故障的控制和管理研究，以保障平台稳定高效运行。通过设计数据信息传递与数据存储、数据分析处理、可视化数据界面和远程控制功能等模块，实现远程数据采集、智能分析、数据可视化呈现和远程控制等功能，对光伏发电系统进行实时、准确的监测和管理；并针对光伏发电系统中主要常见的通信故障、数据异常和系统故障，提出加强设备的检修和维护工作、使用高质量的自动化设备等管理措施和建议。此外，根据平台监测结果推断，数字化和智能化且高质量的光伏发电系统远程监测平台应用，有助于推动光伏发电产业发展、提高能源利用效率、推动环境保护，并为智慧城市的智能应用和管理提供支持。

In response to the problem of heavy workload and high difficulty in data analysis in traditional on-site monitoring methods for photovoltaic power generation systems, we aim to explore high-quality monitoring methods for photovoltaic power generation systems, promote the intelligent management of photovoltaic power generation systems, and ensure their stable operation. Rely on the "source-grid-load " Integrated Intelligent Photovoltaic Laboratory Power Grid Project of Guangzhou Electromechanical Technician College, a remote monitoring platform for photovoltaic power generation systems is designed and constructed. Modern information technologies such as the Internet of Things, cloud computing, and big data are comprehensively utilized in various functional modules of the platform, and attention is paid to the control and management research of potential faults in platform practice to ensure stable and efficient operation of the platform. By designing modules such as data information transmission and storage, data analysis and processing, visual data interfaces, and remote control functions, remote data collection, intelligent analysis, data visualization presentation, and remote control functions are achieved, enabling real-time and accurate monitoring and management of photovoltaic power generation systems; And in response to the main common communication failures, data anomalies, and system failures in photovoltaic power generation systems, management measures and suggestions such as strengthening equipment maintenance and repair, and using high-quality automation equipment are proposed. In addition, based on the monitoring results of the platform, it is inferred that the application of digital, intelligent, and high-quality remote monitoring platforms for photovoltaic power generation systems can help promote the development of the photovoltaic power generation industry, improve energy utilization efficiency, promote environmental protection, and provide support for the intelligent application and management of smart cities.

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