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Non-intrusive electric appliance identification method based on root mean square and standard deviation

A non-invasive, method of identification technology

Active Publication Date: 2019-09-17
SICHUAN CHANGHONG ELECTRIC CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a non-invasive electrical identification method based on root mean square and standard deviation, which is used to solve the problems of low recognition rate of early non-intrusive monitoring and low algorithm operation efficiency in the prior art

Method used

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  • Non-intrusive electric appliance identification method based on root mean square and standard deviation

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Embodiment 1

[0028] combined with figure 1 As shown, a non-intrusive electrical appliance identification method based on root mean square and standard deviation,

[0029] First, select the research object, collect the current and voltage of each type of electrical appliance in n cycles, and calculate the effective value of the current;

[0030] Calculate the maximum value maxValue, the minimum value minValue, the difference s1, the maximum current effective value, the minimum current effective value, and the average value of the load current amplitude within n cycles of each type of research object;

[0031] For each type of research object, n-period load voltage phase alignment, find the current starting point, and intercept the m-period current amplitude data according to the point position, m<n;

[0032] Configure the parameters of the algorithm: start the algorithm based on the value of each electrical appliance, generate a solution space according to the value of the electrical appli...

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Abstract

The invention discloses a non-intrusive electric appliance identification method based on root mean square and standard deviation. The similarity judgment is performed on data collected at different cycles, the identification is only performed on different data, and the repeated identification is not performed on the same data, the algorithm overhead is reduced, and the traffic uploaded by the network data is reduced, and the server pressure caused by subsequent cloud-side mass data identification can be reduced; the electric appliance is identified by combining a current effective value through the standard deviation of the data at different cycles; a requirement on collection equipment is not high since only a transient state signal of the electric appliance is used; and meanwhile, the algorithm is simple, the current proportion of each electric appliance in an electric appliance solution is computed by utilizing the feature that the electric appliance with large power has great influence on the waveform, and the current amplitude data of the solution is recomposed to obtain the standard deviation thereof; and an optimal solution is obtained according to the standard deviation and the root mean square, and the identification rate accuracy can be well improved.

Description

technical field [0001] The invention relates to the technical field of electrical appliance identification under a non-invasive detection system, specifically, a non-invasive electrical identification method based on root mean square and standard deviation. Background technique [0002] In the 1970s, the United States and some European countries began research on household energy consumption in order to improve household electricity efficiency and achieve energy conservation and emission reduction. In recent years, with the development of sensing technology, information communication technology and control technology, especially the rise of smart grid, the task of home energy management system is also increasing, and the premise of realizing this task is to effectively control various electrical appliances. monitor. Power load monitoring is of great significance to both households and power companies. For households: they can clearly understand the power consumption of each...

Claims

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Application Information

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IPC IPC(8): G01R31/00G01R19/00G01R19/02G06F17/18
CPCG01R19/0092G01R19/02G01R31/00G06F17/18
Inventor 何金辉宋佶聪瞿杏元余志斌
Owner SICHUAN CHANGHONG ELECTRIC CO LTD
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