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Principal component analysis multivariable decision-making tree-based connection manner identification method

A principal component analysis and wiring technology, applied in character and pattern recognition, instruments, data processing applications, etc., can solve the problems of high maintenance cost, poor robustness, and low efficiency, and achieve low maintenance cost and robustness. good effect

Inactive Publication Date: 2016-02-17
STATE GRID SHANDONG ELECTRIC POWER +2
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Problems solved by technology

The disadvantage of manual identification is that when faced with a large number of primary wiring diagrams, the efficiency is very low; the program criterion condition method mainly sets the judgment conditions according to the characteristics of the power grid model of the wiring mode, and identifies the wiring mode by gradually judging the conditions. The reason is that the determination conditions are fixed and theoretically reasonable, but there are deviations from various realistic graphs and data models, the recognition criteria are very inflexible, there is no good classification and feedback, and the robustness of wiring method recognition is not good. It is easy to be unrecognized, or even misjudged and missed. For recurring problem graphics and special graphics, it often involves modifying program expansion and modifying criterion conditions. This method cannot recognize some special wiring or new wiring, and Later maintenance costs are higher

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Embodiment Construction

[0029] The present invention will be further described below in conjunction with specific embodiments.

[0030] The present invention as figure 1 Said, it includes the following steps:

[0031] S1. Data preparation stage: Obtain grid data to establish a basic grid model, and establish equipment ledgers based on the grid model;

[0032] S2. Decision analysis stage: constructing a decision tree and pruning the decision tree;

[0033] S3. Decision-making prediction stage: the model learns and generates a classifier;

[0034] S4. Model interpretation and verification stage: that is, to verify the effect of the decision tree model.

[0035] Further, in s1, the data preparation stage specifically includes the following:

[0036] a. Construct the grid model of the basic characteristics of the wiring mode: first construct the grid model according to the CIME grid model file, establish a structured equipment tree ledger, and then search for the connection relationship equipment col...

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Abstract

The invention relates to a connection manner identification and detection technology in an electric power system, and particularly relates to a principal component analysis multivariable decision-making tree-based connection manner identification method. The method comprises four steps of data preparation, decision analysis, decision prediction and model explanation and verification. According to the method, a connection manner characteristic model is constructed on the basis of principal component analysis multivariable, and a connection manner characteristic model sample is trained by adopting the thought of the decision-making tree so as to generate a classifier, so that the connection manner identification under unknown condition is realized.

Description

technical field [0001] The invention relates to a wiring mode identification and detection technology in a power system, in particular to a wiring mode identification method based on a principal component analysis multivariate decision tree. Background technique [0002] At present, the identification of the connection mode in the power system is mainly realized by two methods: manual identification and program criterion conditions. The disadvantage of manual identification is that when faced with a large number of primary wiring diagrams, the efficiency is very low; the program criterion condition method mainly sets the judgment conditions according to the characteristics of the power grid model of the wiring mode, and identifies the wiring mode by gradually judging the conditions. The reason is that the determination conditions are fixed and theoretically reasonable, but there are deviations from various realistic graphs and data models, the recognition criteria are very i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06Q50/06
CPCG06Q50/06G06F18/24323
Inventor 侯广松孟会增徐珂程昭龙杨哲杨文邓帅孔宁王启龙尹中发邓颖高军陈波涛吴翠娟
Owner STATE GRID SHANDONG ELECTRIC POWER
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