The Research And Implementation Of Massive Data Collection And Storage Strategy In The Scada System

Under the background of energy shortages around the world, high-concentration photovoltaic (HCPV) power station develops rapidly driven by the policy. The degree of power station informatization and data process plays a crucial role in the effectiveness. Supervisory control and data acquisition (SCADA) system receive real-time data message, manage power station resources, monitoring equipment of station and the situation of power generation, analysis historical data. These functions have a significant effect for information regulation of photovoltaic power station. With the gradual expansion of the size of the photovoltaic industry and progress of technology, the number and type of device increase. Thus the data acquisition and processing system face more stringent requirements in real-time, reliability and scalability.In this paper, with a view to the severe situation, a series of in-depth research and analysis conducted in alarm and performance data from the massive collection to analysis, the storage process of the SCADA system. This article discusses the use of distributed system technology based on active message to build real-time data acquisition program, alarm information classification system, create a unified device interface in the factory pattern, adopt database afterwards to ensure the validity of data. With the work a scalable and efficient data processing platform formed, enhancing the reliability of the data acquisition process, making it easy to quickly locate faults and dynamic configuration of resources. The SCADA system for data acquisition and storage is designed and implemented based on technology above and specific needs of SCADA system data. It’s proved to provide a stable data protection for station operation monitoring, effectively improve the operational efficiency of the power station, and bring economic improving efficiency for enterprise.