Electric appliance type determination method for students' dormitory

A technology of electrical appliances and electrical appliances, which is applied in the direction of instruments, measuring electricity, and measuring electrical variables, etc. It can solve the problems of incomplete and accurate identification, insufficient generalization ability, and single characteristic properties, so as to achieve the simple and characteristic acquisition method of load current spectrum characteristics. The effect of rich information and high recognition accuracy

Active Publication Date: 2016-07-20
山东科德电子有限公司
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Problems solved by technology

Various methods can realize the identification of electrical properties to a certain extent, but due to the single feature and single

Method used

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  • Electric appliance type determination method for students' dormitory
  • Electric appliance type determination method for students' dormitory
  • Electric appliance type determination method for students' dormitory

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

The present invention provides an electric appliance type determination method for a students' dormitory. An electric appliance identification device consisting of an information acquisition module, an information processing module and a communication module is employed to realize the electric appliance type determination method for the students' dormitory. The electric appliance type determination method is abundant in feature information through adoption of the starting current features, the fundamental wave voltage current phase difference and the load current frequency spectrum features of an electric appliance, and is combined in the features of two classifiers to perform comprehensive identification and high in identification accuracy through adoption of a combination classifier consisting of a support vector classifier and a Bayes classifier to perform identification classification. The fundamental wave voltage and current phase difference, starting current feature and load current frequency spectrum feature obtaining methods are simple and reliable. The electric appliance identification device may be used at collective public places requiring electricity load management such as a students' dormitory and the like, and may be also used at the occasions requiring electricity device management for determination and statistics of electricity load types.

Description

technical field [0001] The invention relates to a method for identifying and classifying equipment, in particular to a method for judging the type of electric appliances used in student dormitories. Background technique [0002] At present, the mainstream electrical properties or electrical type identification methods include the electrical identification method based on the load power comprehensive coefficient algorithm, the electrical identification method based on electromagnetic induction, the electrical identification method based on neural network algorithm, and the electrical identification method based on periodic discrete transformation algorithm. Wait. Various methods can realize the identification of electrical properties to a certain extent, but due to the single feature properties and single identification means, there are generally problems of insufficient generalization ability and incomplete and accurate identification. Contents of the invention [0003] T...

Claims

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Application Information

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IPC IPC(8): G01R31/00G01R19/25
CPCG01R19/25G01R31/00
Inventor 凌云周维龙孔玲爽曾红兵
Owner 山东科德电子有限公司
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