Power distribution network heterogeneous data integration method and system
A heterogeneous data, distribution network technology, applied in data processing applications, instruments, character and pattern recognition, etc., can solve the problem that some samples and detection indicators are difficult to effectively use, waste of distribution network equipment detection resources, and complex and expensive detection equipment. and other problems, to achieve the effect of improving the asset management level, management level and effect improvement of the distribution network
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Embodiment 1
[0064] figure 1 It is a flow chart of a distribution network heterogeneous data integration method of the present invention, such as figure 1 As shown, a distribution network heterogeneous data integration method provided by the present invention includes:
[0065] Step S11, selecting a data sample set with complete measurement indicators from the heterogeneous database of the original distribution network;
[0066] Step S12, perform generative confrontation network training according to the data sample set, and generate a new database with an enlarged data sample size according to the new data samples obtained from the training and the original distribution network heterogeneous database;
[0067] Step S13, according to the new database, use the clustering algorithm to repair the data samples with missing measurement indicators in the original distribution network heterogeneous database, and output the distribution network heterogeneous data according to the repaired origina...
Embodiment 2
[0125] Based on the same inventive concept, the present invention also provides a distribution network heterogeneous data integration system, which may include:
[0126] The selection module is used to select a data sample set with complete measurement indicators from the heterogeneous database of the original distribution network;
[0127] The training module is used to train the data sample set through the generative confrontation network; generate a new database after expanding the data sample size according to the new data samples obtained from the training and the original distribution network heterogeneous database;
[0128] The repair module is used to repair the data samples with missing measurement indicators in the heterogeneous database of the original distribution network through a clustering algorithm;
[0129] The output module is used to output the heterogeneous data of the distribution network according to the repaired original distribution network heterogeneou...
Embodiment 3
[0143] Based on the research on the existing distribution network database integration technology, the present invention proposes a distribution network heterogeneous data integration method based on generative confrontation network, such as figure 2 shown. Specifically include the following steps:
[0144] Step 1. Read the heterogeneous data of the distribution network, establish a database, and initialize parameters, including:
[0145] established database
[0146] Initialize the discriminant rate threshold c=0.1, reduce the step size a=0.0025; set the neural network activation function g and f as the Sigmodal function; initialize the distance threshold R in the peak clustering algorithm 1 =0.15,R 2 =0.15 and clustering threshold k=3; initialize the center point set Centre=D; initialize the limited coverage peak point set Temp_Peaks={}.
[0147] Step 1 is an unnecessary step, and the parameters preset in step 1 can be called directly during the execution of steps 2-5...
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