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Electric appliance type determining apparatus

A technology for judging devices and electrical appliances, which is applied to measuring devices, instruments, measuring electronics, etc., can solve problems such as incomplete and accurate identification, single feature properties, and single identification means, and achieve rich feature information, simple acquisition methods, and high recognition accuracy. high effect

Inactive Publication Date: 2016-08-17
HUNAN UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Various methods can realize the identification of electrical load properties to a certain extent, but due to the single feature nature and single identification means, there are generally problems of insufficient generalization ability and incomplete and accurate identification.

Method used

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  • Electric appliance type determining apparatus
  • Electric appliance type determining apparatus

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 2

[0085] Example 2 selects the NBC classifier as the auxiliary classifier. Naive Bayesian classification is defined as follows:

[0086] ⑴ Let x = {a 1 ,a 2 ,…,a m} is an item to be classified, and each a is a feature attribute of x;

[0087] (2) There is a category set C={y 1 ,y 2 ,…,y n};

[0088] (3) Calculate P(y 1 |x),P(y 2 |x),…,P(y n |x);

[0089] ⑷ If P(y k |x)=max{P(y 1 |x),P(y 2 |x),…,P(y n |x)}, then x∈y k .

[0090] The specific method for calculating each conditional probability in step (3) is:

[0091] ① Find a set of items to be classified that is known to be classified as a training sample set;

[0092] ②Statistically obtain the conditional probability estimates of each feature attribute under each category;

[0093] P(a 1 |y 1 ),P(a 2 |y 1 ),…,P(a m |y 1 );

[0094] P(a 1 |y 2 ),P(a 2 |y 2 ),…,P(a m |y 2 );

[0095] …;

[0096] P(a 1 |y n ),P(a 2 |y n ),…,P(a m |y n ).

[0097] ③ According to Bayes' theorem, there are:

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Abstract

The invention discloses an electric appliance type determining apparatus. The apparatus comprises an information acquisition module, an information processing module and a communication module. The apparatus simultaneously employs a starting current feature of an electric appliance, a fundamental wave voltage current phase difference of the electric appliance and a load current frequency spectrum feature as identification features of electric appliance types, and thus feature information is abundant; a combined classifier including a decision tree classifier and a Bayes classifier is employed for identification classification, features of the decision-tree classifier and the Bayes classifier are taken into consideration for integrated identification, and the identification accuracy is high; and a provided method for obtaining the fundamental wave voltage current phase difference, the starting current feature and the load current frequency spectrum feature is simple and reliable. The electric appliance type determining apparatus can be applied to some collective public places needing electric appliance management such as student dormitories, large-size markets and the like, and can also be applied to other occasions needing electrical equipment management including electric appliance type identification and statistics.

Description

technical field [0001] The invention relates to a device for identifying and classifying equipment, in particular to a device for judging the type of electrical appliances. Background technique [0002] At present, the mainstream electrical load identification methods include electrical load identification method based on load power comprehensive coefficient algorithm, electrical load identification method based on electromagnetic induction, electrical load identification method based on neural network algorithm, electrical load identification method based on periodic discrete transformation algorithm identification methods, etc. Various methods can realize the identification of electrical load properties to a certain extent, but due to the single characteristic nature and single identification method, there are generally problems that the generalization ability is insufficient and the identification cannot be completely accurate. SUMMARY OF THE INVENTION [0003] The pur...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/00G01R19/25G08C17/02G06K9/62
CPCG08C17/02G01R19/25G01R31/00G06F18/24155G06F18/2415
Inventor 凌云肖会芹曾红兵
Owner HUNAN UNIV OF TECH
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