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A method of identifying the type of electrical appliance

A technology of type recognition and electrical appliances, applied in character and pattern recognition, instruments, measuring electricity, etc., can solve problems such as incomplete accurate recognition, insufficient generalization ability, and single feature nature, and achieve rich feature information and high generalization ability. , get the effect of a simple method

Active Publication Date: 2018-06-26
山东科德电子有限公司
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  • Abstract
  • Description
  • Claims
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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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  • A method of identifying the type of electrical appliance
  • A method of identifying the type of electrical appliance
  • A method of identifying the type of electrical appliance

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 2

[0085] Example 2 selects the NBC classifier as the auxiliary classifier. Naive Bayes 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 characteristic attribute of x;

[0087] ⑵There 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] ⑷If 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 of calculating each conditional probability in step (3) is:

[0091] ① Find a set of items to be classified with known classification as the 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] ③According to Bayes' theorem, there are: ...

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Abstract

An electrical appliance type identification method is realized by an electrical appliance type identification device including an information collection module, an information processing module, and a communication module. The electrical appliance type identification method adopts the starting current feature of the electrical appliance, the fundamental voltage and current phase difference of the electrical appliance, and the load current spectrum feature as the identification feature of the electrical appliance type, and the feature information is rich; it adopts a decision tree classifier and a Bayesian classifier. Combined classifiers for identification and classification, taking into account the characteristics of decision tree classifiers and Bayesian classifiers for comprehensive identification, with high identification accuracy; the provided fundamental voltage and current phase difference, starting current characteristics, and load current spectrum characteristics acquisition methods are simple ,reliable. The electrical appliance type identification method can be used in some collective public places that require management of electrical appliances, such as student dormitories and large-scale bazaars, and can also be used in other electrical equipment management that requires electrical appliance type identification and statistics. occasion.

Description

technical field [0001] The invention relates to a device and method for identifying and classifying equipment, in particular to a method for identifying electrical appliances. Background technique [0002] At present, the mainstream electrical load identification methods include the electrical load identification method based on the load power comprehensive coefficient algorithm, the electrical load identification method based on electromagnetic induction, the electrical load identification method based on the neural network algorithm, and the electrical load identification method based on the periodic discrete transformation algorithm. identification method, etc. Various methods can realize the identification of electrical load properties to a certain extent, but due to the single characteristic properties and single identification means, there are generally problems of insufficient generalization ability and incomplete and accurate identification. Contents of the inventi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/00G01R19/25G08C17/02G06K9/62
CPCG08C17/02G01R19/25G01R31/00G06F18/24155G06F18/2415
Inventor 郭艳杰凌云肖伸平
Owner 山东科德电子有限公司
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