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Student dormitory appliance type judger

A technology for using electrical appliances and judging devices, applied in the direction of instruments, measuring electricity, measuring electrical variables, etc., can solve the problems of incomplete accurate identification, single identification method, single characteristic nature, etc., to achieve rich characteristic information, simple acquisition methods, and identification. The effect of high accuracy

Active Publication Date: 2018-06-15
邳州市景鹏创业投资有限公司
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  • 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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  • Student dormitory appliance type judger
  • Student dormitory appliance type judger
  • Student dormitory appliance type judger

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

A device for judging electrical appliances used in student dormitories includes an information collection module, an information processing module, and a communication module. The device simultaneously uses the starting current characteristics of electrical appliances, the fundamental voltage and current phase difference of electrical appliances, and the spectral characteristics of load current as the identification features of electrical appliances, and has rich feature information; it adopts a combination of BP neural network classifier and Bayesian classifier The classifier is used for identification and classification, taking into account the characteristics of BP neural network classifier and Bayesian classifier for comprehensive identification, and the identification accuracy is high. reliable. The appliance type judger can be used in collective public places such as student dormitories that require management of electrical appliances, and can also be used in other occasions that require electrical appliance management where electrical appliance type identification and statistics are required.

Description

technical field [0001] The invention relates to a device for identifying and classifying equipment, in particular to a device for determining the type of electric appliances used in student dormitories. 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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/00
CPCG01R31/00G06F18/24765G06F18/24155G06F18/254G06F18/241
Inventor 凌云曾红兵肖会芹
Owner 邳州市景鹏创业投资有限公司
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