Design of Power Grid “Three Rates in One” Process Diagnosis and Data Monitoring System based on Power Big Data Analysis

Power system has a huge amount of data and a wide range of application scenarios, so it is necessary to seek the means of big data to support its own analysis and application. At present, the research and system of power grid data quality monitoring technology based on big data technology in China is not perfect. This paper closely follows the concept of business data association fusion and data-driven modeling, and develops the research and construction of power grid “three rates in one” process diagnosis and data monitoring system. Data collection uses a tool based on database log interpretation, monitors database log changes, interprets incremental logs in real time, converts them into database operation records, and writes them into a big data analysis platform. According to the data classification of the operation monitoring center, combined with the current application system construction, the data storage and distribution of the operation monitoring center are planned. The response time of each operation content of the “three rates in one” process diagnosis and data monitoring system of power grid proposed in this paper is obviously shorter than that of the traditional power data analysis platform, which has higher platform operation efficiency and more important application value and significance. It is verified that the proposed platform design method has higher operating efficiency in practical application.