Index Method of Unstructured Data in Power System Based on Improved B+ Tree

With the continuous development of smart grid online monitoring systems, the power system has accumulated a large amount of unstructured data. These data have the characteristics of diverse formats, inconsistent rules, and difficulty in establishing data indexes. B+ tree index is currently a widely used indexing technology. The traditional B+ tree index structure can only index numeric or character data but cannot index unstructured data. Given the characteristics of a large amount of unstructured data in the power system, this article proposes a method for indexing unstructured data in the power system based on an improved B+ tree, that is, the introduction of the hierarchical index method is based on the B+ tree index Structure and construct a two-level hybrid index structure. The first layer of the two-layer hybrid index structure constructs the index of the unstructured data entity class, and the second layer constructs the index of the unstructured data knowledge graph according to the corresponding attribute value of the first layer data entity class. Experimental results show that the indexing method can meet the needs of unstructured data indexing and retrieval in power systems.