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Household appliance operating state identification method based on cross correlation coefficient

A technology of cross-correlation coefficients and household appliances, which is applied in the field of recognition based on cross-correlation coefficients, can solve problems such as large amount of calculations and complex theoretical principles of recognition algorithms, and achieve the effect of simple algorithms and accurate judgments

Active Publication Date: 2013-05-22
CHONGQING UNIV
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Problems solved by technology

However, the theoretical principles of the identification algorithms used in these studies are relatively complex, and the amount of calculation is relatively large.

Method used

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  • Household appliance operating state identification method based on cross correlation coefficient
  • Household appliance operating state identification method based on cross correlation coefficient
  • Household appliance operating state identification method based on cross correlation coefficient

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Embodiment Construction

[0050] The present invention will be further described below in conjunction with drawings and embodiments.

[0051] As shown in Table 1, numbers ① to ⑩ record the exact time points when the usage patterns of household appliances change over a period of time.

[0052] Table 1 Details of the use of household appliances for switching on and off

[0053] Numbering time (seconds) number of cycles Household Appliances Event ① 12 46th laptop open ② 45 20th None (notebook health status changes) ③ 94 6th energy saving lamp open ④ 118 15th None (notebook health status changes) ⑤ 153 35th None (notebook health status changes) ⑥ 188 39th None (notebook health status changes) ⑦ 192 1st laptop close ⑧ 225 48th energy saving lamp close ⑨ 280 43rd energy saving lamp open ⑩ 294 29th energy saving lamp close

[0054] According to ...

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Abstract

The invention relates to a household appliance operating state identification method based on a cross correlation coefficient. The identification method includes acquiring momentary currents or momentary power signals by the aid of intelligent electric meters installed at the entrance of a house to detect signal variation; based on periodicity as a unit, when signal variation exceeds a curtained threshold in a moment K, extracting signal waveforms of total seven periodicities of K-5, K-3, K, K+2, K+4, k+6 and K+8, and calculating waveform similarity between every two periodic signals in a time sequence; judging whether to start or stop the household appliances indoors by judging differences of six waveform similarity values and according to differentials of steady-state signals before and after K. The algorithm is simple and the judgment is accurate.

Description

technical field [0001] The invention relates to a method for identifying the operating state of household appliances, in particular to an identification method based on cross-correlation coefficients. Background technique [0002] With the ever-increasing pressure on global resources and the environment, building a safer, more reliable, environmentally friendly and economical smart grid has become a common goal of the global power industry. At present, in the chain of power generation, transmission, distribution, and consumption, the interaction between the power grid and end users is relatively weak, which affects the overall performance and efficiency of the power system. More and more researchers have also realized that smart meters are the basis of smart grids, and have become a research hotspot in recent years. [0003] In order to truly realize the interaction between the smart grid and users, to enable users to truly participate in the electricity market, and to brin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/00
Inventor 王晓静曾礼强雍静杨本强杨岳李北海
Owner CHONGQING UNIV
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