Electricity quantity diagram database construction and search method based on graph theory
A search method and database technology, applied in the field of electricity map database construction and search based on graph theory, can solve the problems of low search efficiency and long processing time in Neo4j, and achieve the effect of reducing search time and enriching search functions.
Pending Publication Date: 2022-03-08
SOUTHEAST UNIV
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Problems solved by technology
In a single search task with a small amount of data, Neo4j can efficiently query and update graph data; but for complex search tasks that need to process massive data, Neo4j's search efficiency is not high and the processing time is too long
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[0070] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0071] A method for constructing and searching an electricity map database based on graph theory, comprising the following steps:
[0072] Step 1: By analyzing the composition and structural characteristics of power grid power data, preprocess the data, calculate the Boolean adjacency matrix that describes the relationship between users, industry types, and regions, and store the two-dimensional floating-point numbers of power consumption data of users at different ...
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The invention discloses an electricity map database construction and search method based on a graph theory, and relates to the technical field of electric power systems.The electricity map database construction method based on the graph theory is firstly provided, and data are extracted into an entity-relation-entity triple form; and the data are stored by an index matrix, an adjacent matrix and a user-time-electric quantity two-dimensional floating point numerical matrix. Secondly, constructing a smart search method based on a self-built database; the property of an adjacent matrix and the reachable matrix principle are used for achieving multi-functional intelligent search including accurate search, wide-area search, wide-area statistics and superior and secondary statistics on data. Finally, through verification of the embodiment, the method can be used for effectively managing large-volume electric quantity data, the searching function richer than that of a traditional on-line power grid is achieved, the searching time is greatly shortened, the searching time efficiency is obviously superior to that of an open source database Neo4j, and the method has good practical application and popularization value.
Description
technical field [0001] The invention belongs to the technical field of electric power systems, and in particular relates to a graph theory-based construction and search method for an electricity graph database. Background technique [0002] The power system is large in scale and complex in structure. With the advancement of informatization and the expansion of power business, various production and service links such as power generation, transmission, transformation, distribution, and use are generating massive amounts of data and knowledge every moment. The total amount of knowledge is growing explosively. The new knowledge in these power systems presents complex and changeable characteristics: the knowledge structure is complex, the heterogeneous knowledge is increasing; the knowledge is changing rapidly, and the update frequency is gradually shortening. Facing the rapid increase of new knowledge in the power system, the traditional knowledge organization and management m...
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Login to View More IPC IPC(8): G06F16/21G06F16/22G06F16/2458G06F16/36G06F16/901
CPCG06F16/211G06F16/367G06F16/2237G06F16/2474G06F16/9024
Inventor 叶宇剑汤奕胡健雄吴忠陈沛凌
Owner SOUTHEAST UNIV