A multi-dimensional data network load storage method and system
A technology of storage system and data network, applied in the field of electric power system
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Embodiment 1
[0061] A method for verifying and correcting distribution network line loss data provided by the present invention, such as figure 1 Shown:
[0062] S1: Classify the data obtained from the micro-synchrophasor measurement device for business classification, and construct a gridded data matrix:
[0063] According to the amount of data collected by the micro-PMU device, the business logic initialization classification is carried out. Because the micro-PMU device collects a large amount of data points, reaching the second-level data, and the data throughput and reception amount reaches thousands of pieces of data in 1 second, so in the collection business On the basis of classification, by setting a simple business classification model, through cluster analysis, all the collected index data will be gathered through independent training, and the rest of the records will be condensed to the cohesion point according to the principle of proximity, and the center position of each initial...
Embodiment 2
[0071] Embodiment 2: Based on the same inventive concept, the present invention also provides a multi-dimensional data network load storage system, including:
[0072] Gridded data matrix construction module: classify the data obtained from the micro-synchrophasor measurement device for business classification, and build a gridded data matrix;
[0073] T-tree construction module: construct field-type data columns based on the gridded data matrix, and separate them by identifiers, then form a data pool according to the T-tree construction method, and store the data pool; wherein each data pool The data in and the T-tree nodes correspond to each other according to the relationship;
[0074] Association module: construct an index tree based on the identifier sequence, and establish a corresponding relationship between the index tree and the data in the data pool.
[0075] The T-tree building blocks include:
[0076] Identification sub-module: in memory, construct field-type dat...
Embodiment 3
[0102] According to a kind of multi-dimensional data network load storage method provided by the present invention, the multi-dimensional data network load is constructed and stored in the T-tree index step:
[0103] Construct a data grid, establish criteria based on the key points of business classification identification and data versatility, correspond to the index in the data grid, construct a three-dimensional matrix with business, data, and indicators, construct the grid matrix, and establish a T-tree based on the business and matrix Model index primary key.
[0104] Establish a memory bank, put the data point data collected by the micro PMU into the memory bank for operation, and perform a memory sequence in the form of data in the memory database, and the sequence changes dynamically according to the data.
[0105] The mining algorithm model is introduced, and the data collected by the micro-PMU is used for data calculation and mining calculations, and the data is self...
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