CN110244149B - Non-invasive electrical appliance identification method based on current amplitude standard deviation - Google Patents
Non-invasive electrical appliance identification method based on current amplitude standard deviation Download PDFInfo
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- CN110244149B CN110244149B CN201910603427.3A CN201910603427A CN110244149B CN 110244149 B CN110244149 B CN 110244149B CN 201910603427 A CN201910603427 A CN 201910603427A CN 110244149 B CN110244149 B CN 110244149B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
- G01R19/0092—Arrangements for measuring currents or voltages or for indicating presence or sign thereof measuring current only
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
- G01R19/02—Measuring effective values, i.e. root-mean-square values
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
Abstract
The invention discloses a non-invasive electrical appliance identification method based on current amplitude standard deviation, which comprises the steps of selecting sample electrical appliances, calculating current effective values of the sample electrical appliances, finding out minimum values MIrms in the current effective values, and calculating current amplitude standard deviation Std1 of each sample electrical appliance; acquiring actually measured current voltage amplitude data, an effective current value Irms and current amplitude data DIrms of an electric appliance to be identified; traversing each sample electrical appliance, calculating proportion PIrms of the effective current value of each sample electrical appliance in the effective current value Irms of the electrical appliance to be identified, if PIrms < ═ 1 indicates that the electrical appliance to be identified may contain the sample electrical appliance, then calculating current amplitude data of the sample electrical appliance which may be contained in the current amplitude data DIrms of the electrical appliance to be identified, calculating a current amplitude standard difference Std2 after normalization, setting v ═ abs (Std2-Std1), and determining the minimum difference v as the decomposed sample electrical appliance; and judging whether the electric appliance to be identified is the decomposed sample electric appliance. The invention realizes the identification of the electric appliance through a simple and practical algorithm.
Description
Technical Field
The invention relates to the technical field of electrical appliance identification under a non-invasive detection system, in particular to a non-invasive electrical appliance identification method based on current amplitude standard deviation.
Background
In the 70 s of the 20 th century, the U.S. and some European countries began to research the household energy consumption in order to improve the household electricity utilization efficiency and realize 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 grids, the tasks of home energy management systems are increasing, and the premise for realizing the tasks is to effectively monitor various electric appliances. The power load monitoring has great significance for families, power companies and the like, and for the families: the power utilization condition of each type of electric appliance can be clearly known, and the power utilization habit is adjusted accordingly to achieve the purpose of energy conservation; for the electric power company: the power utilization of each region can be known, different packages are made according to the power utilization, reasonable power allocation is achieved, and the maximum utilization of resources is achieved.
Currently, the monitoring of the power load can be divided into two types:
(1) traditional invasive detection realizes the measurement through increasing corresponding sensor branch way for all kinds of electrical apparatus, and then the consumption monitoring of the total electrical apparatus that realizes, and its input is great, causes the interference to the normal operation of electrical apparatus easily, and too much circuit access makes user's acceptance not very good yet.
(2) The non-intrusive detection power consumption proposed in the early stage can only decompose the category based on the unit current of the category of the electric appliance, and cannot be detailed to a specific electric appliance. The device mostly depends on transient characteristic data of the electric appliance, has high requirements on hardware, correspondingly improves the cost and is not beneficial to the popularization of products; and some algorithms are too complex and inconvenient to integrate into hardware equipment, and a large amount of labor cost is needed in the early stage of excessive training data.
Disclosure of Invention
In order to solve the problems in the prior art, the invention aims to provide a non-invasive electric appliance identification method based on the current amplitude standard deviation.
In order to achieve the purpose, the invention adopts the technical scheme that: a non-invasive electrical appliance identification method based on current amplitude standard deviation comprises the following steps:
step 1, selecting a common household electrical load as sample electrical appliances, respectively calculating the current effective values of the sample electrical appliances, finding out the minimum value MIrms of the current effective values in all the sample electrical appliances, and calculating the current amplitude standard deviation Std1 of each sample electrical appliance;
step 2, acquiring actually measured current voltage amplitude data and an effective current value Irms of the electric appliance to be identified, and carrying out phase alignment on the voltage amplitude data to obtain corresponding current amplitude data DIrms;
step 3, traversing each sample electric appliance, calculating proportion PIrms of the current effective value of each sample electric appliance in the current effective value Irms of the electric appliance to be identified, namely PIrms is the current effective value/Irms of the sample electric appliance, and if PIrms >1 indicates that the current effective value of the sample electric appliance is larger than the current effective value of the electric appliance to be identified, excluding the sample electric appliance; if PIrms < ═ 1 indicates that the electric appliance to be identified may contain the sample electric appliance, then calculating the current amplitude data of the sample electric appliance which may be contained in the current amplitude data DIrms of the electric appliance to be identified, calculating the current amplitude standard deviation Std2 of the current amplitude data of each sample electric appliance which may be contained under the current amplitude data DIrms of the electric appliance to be identified after normalization, setting v to abs (Std2-Std1), and storing the difference v and the label of each sample electric appliance;
step 4, finding the corresponding sample electrical appliance with the minimum difference value v after traversing all the sample electrical appliances according to the step 3, namely the decomposed sample electrical appliance;
and 5, judging whether the electric appliance to be identified is the sample electric appliance decomposed in the step 4.
As a preferred embodiment, the step 1 specifically comprises the following steps:
collecting current and voltage of each sample electrical appliance according to m periods to obtain m current effective values and m groups of current voltage amplitude data of each sample electrical appliance, weighting and summing the m current effective values to obtain a term, and calculating the current effective value of each sample electrical appliance to be the term/m according to an averaging method so as to find out the minimum value MIrms of the current effective values in all the sample electrical appliances; and performing phase alignment on the m groups of voltage amplitude data of each sample electrical appliance to obtain m groups of current amplitude data of the corresponding sample electrical appliance, then performing noise reduction on corresponding points in the m groups of current amplitude data according to a mean value noise reduction method to obtain noise-reduced current amplitude data of each sample electrical appliance, and calculating a current amplitude standard deviation Std1 of each sample electrical appliance after normalization.
In another preferred embodiment, in step 3, the current amplitude data of each sample electrical appliance that may be included in the current amplitude data dimms of the electrical appliance to be identified is obtained by multiplying each point value in the current amplitude data dimms of the electrical appliance to be identified by PIrms.
As another preferred embodiment, the step 5 specifically includes the following steps:
step 5.1, resetting the current effective value Irms of the electric appliance to be identified to be the Irms-decomposed current effective value of the sample electric appliance; resetting the current amplitude data DIrms (1-PIrms) of the electric appliance to be identified, wherein the PIrms is the proportion of the decomposed sample electric appliance;
and 5.2, judging whether the Irms reset in the step 5.1 is smaller than the minimum value MIrms of the current effective value in the sample electric appliance or not, if so, finishing the identification, and if not, continuing to execute the step 3.
The invention has the beneficial effects that: the invention relates to an algorithm for identifying electric appliances based on the current amplitude standard deviation of each sample electric appliance in a non-invasive environment, which constructs new amplitude data through the ratio of the current effective value of each electric appliance to the total current value, utilizes the normalized standard deviation to compare with the actual current amplitude standard deviation of the electric appliance, decomposes one electric appliance by searching the minimum value, then removes the current effective value and the current amplitude ratio of the decomposed electric appliance through a removal method, continues to decompose the electric appliance through a current ratio method until the current value is less than the current minimum value in the sample electric appliance, realizes the identification of the electric appliance through a simple and practical algorithm, can carry out energy consumption analysis on the basis, and is beneficial to helping enterprises and users to analyze the electricity consumption condition.
Drawings
FIG. 1 is a block flow diagram of an embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
Example (b):
as shown in fig. 1, a non-invasive electrical appliance identification method based on current amplitude standard deviation is characterized by comprising the following steps:
step 1, selecting a common household electrical load as a sample electrical appliance, collecting current and voltage of each sample electrical appliance according to m periods to obtain m current effective values and m groups of current voltage amplitude data of each sample electrical appliance, weighting and summing the m current effective values to obtain a term, calculating the current effective value of each sample electrical appliance to be the term/m according to an averaging method, and finding out the minimum value MIrms of the current effective values in all the sample electrical appliances; phase alignment is carried out on m groups of voltage amplitude data of each sample electric appliance to obtain m groups of current amplitude data of the corresponding sample electric appliance, then noise reduction is carried out on corresponding points in the m groups of current amplitude data according to a mean value noise reduction method to obtain current amplitude data after noise reduction of each sample electric appliance, the current amplitude data are stored as a list L1, and a current amplitude standard deviation Std1 of each sample electric appliance is calculated after normalization is carried out on the list L1;
step 2, acquiring actually measured current voltage amplitude data and an effective current value Irms of the electric appliance to be identified, and carrying out phase alignment on the voltage amplitude data to obtain corresponding current amplitude data DIrms;
step 3, traversing each sample electric appliance, calculating proportion PIrms of the current effective value of each sample electric appliance in the current effective value Irms of the electric appliance to be identified, namely PIrms is the current effective value/Irms of the sample electric appliance, and if PIrms >1 indicates that the current effective value of the sample electric appliance is larger than the current effective value of the electric appliance to be identified, excluding the sample electric appliance; if PIrms < ═ 1 indicates that the electric appliance to be identified may contain the sample electric appliance, then calculating current amplitude data of the sample electric appliance which may be contained in the current amplitude data DIrms of the electric appliance to be identified, namely multiplying each point value in the current amplitude data DIrms of the electric appliance to be identified by PIrms to obtain current amplitude data of each sample electric appliance which may be contained in the current amplitude data DIrms of the electric appliance to be identified, and normalizing to be a list L2, calculating a current amplitude standard difference Std2 of the current amplitude data of each sample electric appliance which may be contained under the current amplitude data DIrms of the electric appliance to be identified after normalization, setting v to abs (Std2-Std1), and storing the difference v and a label of each sample electric appliance in the list L3;
step 4, finding the corresponding sample electrical appliance with the minimum difference v in the list L3 after all the sample electrical appliances are traversed and completed according to the step 3, namely, obtaining a decomposed sample electrical appliance A;
and 5, judging whether the electrical appliance to be identified is the sample electrical appliance A in the step 4:
step 5.1, resetting the effective current value Irms of the electric appliance to be identified to be Irms-the effective current value of the sample electric appliance A; resetting the current amplitude data DIrms (1-PIrms) of the electric appliance to be identified, wherein the PIrms is the proportion of the decomposed sample electric appliance A;
and 5.2, judging whether the Irms reset in the step 5.1 is smaller than the minimum value MIrms of the current effective value in the sample electric appliance or not, if so, finishing the identification, and if not, continuing to execute the step 3.
The above-mentioned embodiments only express the specific embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention.
Claims (4)
1. A non-invasive electrical appliance identification method based on current amplitude standard deviation is characterized by comprising the following steps:
step 1, selecting a common household electrical load as sample electrical appliances, respectively calculating the current effective values of the sample electrical appliances, finding out the minimum value MIrms of the current effective values in all the sample electrical appliances, and calculating the current amplitude standard deviation Std1 of each sample electrical appliance;
step 2, acquiring actually measured voltage amplitude data and an effective current value Irms of the electric appliance to be identified, and carrying out phase alignment on the voltage amplitude data to obtain corresponding current amplitude data DIrms;
step 3, traversing each sample electric appliance, calculating proportion PIrms of the current effective value of each sample electric appliance in the current effective value Irms of the electric appliance to be identified, namely PIrms is the current effective value/Irms of the sample electric appliance, and if PIrms >1 indicates that the current effective value of the sample electric appliance is larger than the current effective value of the electric appliance to be identified, excluding the sample electric appliance; if PIrms < ═ 1 indicates that the electric appliance to be identified may contain the sample electric appliance, then calculating the current amplitude data of the sample electric appliance which may be contained in the current amplitude data DIrms of the electric appliance to be identified, calculating the current amplitude standard deviation Std2 of the current amplitude data of each sample electric appliance which may be contained under the current amplitude data DIrms of the electric appliance to be identified after normalization, setting v to abs (Std2-Std1), and storing the difference v and the label of each sample electric appliance;
step 4, finding the corresponding sample electrical appliance with the minimum difference value v after traversing all the sample electrical appliances according to the step 3, namely the decomposed sample electrical appliance;
and 5, judging whether the electric appliance to be identified is the sample electric appliance decomposed in the step 4.
2. The non-invasive electrical apparatus identification method based on current amplitude standard deviation according to claim 1, wherein the step 1 is as follows:
collecting current and voltage of each sample electrical appliance according to m periods to obtain m current effective values and m groups of current voltage amplitude data of each sample electrical appliance, weighting and summing the m current effective values to obtain a term, and calculating the current effective value of each sample electrical appliance to be the term/m according to an averaging method so as to find out the minimum value MIrms of the current effective values in all the sample electrical appliances; and performing phase alignment on the m groups of voltage amplitude data of each sample electrical appliance to obtain m groups of current amplitude data of the corresponding sample electrical appliance, then performing noise reduction on corresponding points in the m groups of current amplitude data according to a mean value noise reduction method to obtain noise-reduced current amplitude data of each sample electrical appliance, and calculating a current amplitude standard deviation Std1 of each sample electrical appliance after normalization.
3. The non-invasive electrical apparatus identification method based on current amplitude standard deviation as claimed in claim 1, wherein in the step 3, the current amplitude data of each sample electrical apparatus possibly included in the current amplitude data dimms of the electrical apparatus to be identified is obtained by multiplying each point value in the current amplitude data dimms of the electrical apparatus to be identified by PIrms.
4. The non-invasive electrical apparatus identification method based on current amplitude standard deviation according to claim 1, wherein the step 5 specifically comprises the following steps:
step 5.1, resetting the current effective value Irms of the electric appliance to be identified to be the Irms-decomposed current effective value of the sample electric appliance; resetting the current amplitude data DIrms (1-PIrms) of the electric appliance to be identified, wherein the PIrms is the proportion of the decomposed sample electric appliance;
and 5.2, judging whether the Irms reset in the step 5.1 is smaller than the minimum value MIrms of the current effective value in the sample electric appliance or not, if so, finishing the identification, and if not, continuing to execute the step 3.
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| GB2472251B8 (en) * | 2009-07-30 | 2013-02-20 | Intelligent Sustainable Energy Ltd | Identifying the operation of a specified type of appliance |
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| CN103026246A (en) * | 2010-06-04 | 2013-04-03 | 胜赛斯美国公司 | Method and system for non-intrusive load monitoring and processing |
| CN103217603A (en) * | 2013-03-22 | 2013-07-24 | 重庆大学 | Recognition method of on-line monitoring of power consumption of non-intrusive household appliances |
| WO2015059272A1 (en) * | 2013-10-24 | 2015-04-30 | Universite Libre De Bruxelles | Improved non-intrusive appliance load monitoring method and device |
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