Model construction of big data asset management system for digital power grid regulation

Abstract

Abstract: There are many and complex big data for digital power grid regulation, which makes it more difficult to manage big data assets. Therefore, a model of big data asset management system for digital power grid regulation has been built. The model consists of three parts: data collection, data security storage and data index. The data acquisition architecture is designed, and the grey prediction method is used to fill the missing values and correct the abnormal values of the data acquisition results. Store the filled and amended data in the blockchain to ensure data security. The AR-tree index organization is used to realize the digital grid regulation big data index and achieve the goal of high-quality management of digital grid regulation big data assets. The experimental results show that the average recall and precision of this method are 96.9% and 97.9% respectively, and the data collection quality is high; After the application of this method, there is almost no non security data, and the proportion of security data is higher, which shows that this method can ensure the security of big data storage; The response time of digital power grid regulation big data index is less than 0.21s, and the index efficiency is higher.