CN112464135B - Microwave oven load characteristic extraction method based on dual electrical characteristic criteria - Google Patents
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Abstract
The invention discloses a microwave oven load characteristic extraction method based on double electrical characteristic criteria, which comprises the following steps: collecting the cycle-level power of the main loop in real time based on the high-frequency non-invasive identification terminal on the main loop; filtering and calculating the power of the main loop Zhou Boji, and calculating the load abrupt power; comparing the minimum power threshold value based on the load abrupt change power, and judging whether a load event starting condition is met or not; when a stopping event is detected, assigning the power mutation value as an ith stopping power mutation value, and recording the stopping moment of the ith event; by judging whether the dual electrical parameters of the active power and the reactive power of the event start meet the starting threshold value of the microwave oven or not, if so, judging that the ith working cycle is the working cycle of the microwave oven, and carrying out the embodiment of the invention according to the microwave oven label based on utilizing the electrical characteristic of the microwave oven with the unique large reactive power, the load characteristic of the microwave oven is accurately extracted, and the identification precision of the microwave oven is greatly improved.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a microwave oven load characteristic extraction method based on double electrical characteristic criteria.
Background
The prior non-invasive load monitoring and decomposing technology has been studied for many years to form preliminary practical application, but the key problem affecting the practical effect is that the identification accuracy of part of electric appliances is not ideal, and the key problem is that the load characteristic extraction criteria adopted by different electric appliances are single, and only active power mutation is often adopted to extract the load characteristic, so that a plurality of electric appliances can meet the criterion of judging the active power invariance, so that the judgment result is unstable, the false identification probability is high, and the available identification result is not high.
Therefore, for the identification strategies of different electrical appliances at present, a larger optimization upgrading space is provided, double or multiple electrical characteristic analysis is carried out on a single electrical appliance, and a specific high-load characteristic extraction strategy is provided, so that the unified identification strategy cannot be passed. For the microwave oven, the similarity of the active power mutation value and the general electric heating equipment is larger, if only a single step active power mutation value is used as the criterion, the misidentification rate is larger, therefore, a multiple electrical parameter criterion needs to be provided, and the identification stability is improved.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, and provides a microwave oven load characteristic extraction method based on double electrical characteristic criteria.
In order to solve the technical problems, an embodiment of the present invention provides a method for extracting load characteristics of a microwave oven based on dual electrical characteristic criteria, the method comprising:
collecting the cycle-level power of the main loop in real time based on the high-frequency non-invasive identification terminal on the main loop;
filtering and calculating the power of the main loop Zhou Boji, and calculating the load abrupt power;
comparing the minimum power threshold value based on the load abrupt change power, and judging whether a load event starting condition is met or not;
when the starting of a load event is detected, assigning the power mutation value as an ith starting power mutation value, and recording the starting moment of the ith event;
after the ith starting time is recorded, continuing to scan the stopping event, and judging whether the mutation is the ith stopping event or not;
when a stopping event is detected, assigning the power mutation value as an ith stopping power mutation value, and recording the stopping moment of the ith event;
calculating the ith running time;
judging whether the dual electric parameters of the active power and the reactive power started by the event meet the starting threshold value of the microwave oven or not, judging the starting time duration of the microwave oven, and judging the ith working cycle as the working cycle of the microwave oven if the dual electric parameters meet the conditions; otherwise, the characteristic template library is subjected to identification processing.
The real-time acquisition of the main loop cycle power based on the high-frequency non-invasive identification terminal on the main loop comprises the following steps:
the method comprises the steps of installing a high-frequency non-invasive identification terminal on a main loop to be identified, acquiring the high-frequency non-invasive identification terminal in real time, acquiring the high-frequency non-invasive identification terminal through fast FFT, acquiring effective values U (I) and I (I) of the voltage and the current of the frequency at any moment I, and calculating active power P (I) and reactive power Q (I) at moment I, wherein the sampling rate of the high-frequency non-invasive identification terminal is 256 points per week, and the sampling frequency is 12.8 Khz.
The filtering calculation is performed on the main loop Zhou Boji power, and the calculating of the load abrupt power comprises:
and selecting a 20-point filtering difference method to calculate the load abrupt power.
The judging whether the load event starting condition is met further comprises the following steps:
when judging that the load event starting condition is met, carrying out load event starting operation detection; and if the load event starting condition is not met, continuing to calculate the load abrupt power.
The invention has the advantages and beneficial effects that:
the method has the advantages that the problems of high false recognition rate and low usability of partial electrical appliance results caused by single electrical appliance criterion in a non-invasive load recognition method are solved, the unique electrical characteristics of the microwave oven with larger reactive power are utilized, the method of combining active power and reactive power dual criteria is adopted, and the two-stage judgment of a starting event and a stopping event is adopted, so that the load characteristics of the microwave oven are accurately extracted, and the recognition precision of the microwave oven is greatly improved;
in addition, the algorithm has small calculated amount and low resource requirement, is suitable for being directly deployed into an embedded system of a hardware terminal in an algorithm APP mode, has high instantaneity for edge calculation, provides high accuracy and response performance for detection of a microwave oven, and has popularization value.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings which are required in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a microwave oven load feature extraction method based on dual electrical characteristic criteria in an embodiment of the invention;
fig. 2 is a schematic diagram of feature collection implemented in a microwave oven in accordance with an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Different electrical parameters of the household appliances during operation can be used as independent characteristic criteria, the different electrical parameters can be extracted from total information through a mode identification method, and different appliances can be distinguished from each other through single and multi-dimensional electrical characteristic criteria, so that the appliances can be effectively identified through a non-invasive method. The invention collects total electrical information by a non-invasive method, starts from two electrical parameters of a household microwave oven, analyzes and extracts electrical characteristics of the two electrical parameters, and provides a microwave oven load characteristic extraction algorithm using active parameters P (i) and reactive parameters Q (i) as dual electrical characteristic criteria.
Specifically, fig. 1 shows a flowchart of a microwave oven load feature extraction method based on dual electrical characteristic criteria in an embodiment of the present invention, including the following steps:
s101, collecting the cycle level power of a main loop in real time based on a high-frequency non-invasive identification terminal on the main loop;
in the specific implementation, a high-frequency non-invasive identification terminal is arranged on a main loop which needs to be identified, the sampling rate of the high-frequency non-invasive identification terminal is 256 points per wave, the sampling frequency reaches 12.8Khz, the effective values U (I) and I (I) of the voltage and the current of the frequency at any moment I are acquired in real time and obtained through fast FFT, the active power P (I) and the reactive power Q (I) at the moment I are calculated through the following formulas,
P(i)＝U(i)*I(i)*COSθ(i)
Q(i)＝U(i)*I(i)*SINθ(i)
wherein θ (I) is the angle between the voltage U (I) and the current I (I) at time I.
S102, filtering and calculating the power of a main loop Zhou Boji, and calculating the load abrupt change power;
in the specific implementation, because the acquisition frequency is higher, high-frequency interference and harmonic interference on a line are easier to introduce, filtering calculation is needed, and the 20-point filtering difference method is selected to directly calculate the load abrupt change power by considering the difference between the acquisition frequency, the identification object power level and the interference power level, wherein the method is specifically shown as a formula (1):
s103, comparing the minimum power threshold value based on the load abrupt change power, judging whether a load event starting condition is met, if so, entering S104, otherwise, continuing S102;
based on the formula (1), the power jump value of the bus load can be continuously calculated and compared with a minimum power threshold, and the power jump value is specifically shown as the formula (2):
wherein P is tri For a minimum active power threshold, here typically 100W, Q tri For the minimum reactive power threshold, here a typical value is 50Var, in this example Δp (i) =1200W and Δq (i) =300 Var are monitored when 160S is acquired, satisfying the event start condition. For a specific environment, the algorithm can import the threshold value through a software system interface; if the condition is met, the next operation is continued, if the condition is not met, the condition indicates that no load starting event exists on the bus at the moment, the previous operation is returned, and the monitoring is continued.
S104, when the starting of a load event is detected, assigning the power mutation value as an ith starting power mutation value, and recording the starting moment of the ith event;
in specific implementation, when a load event is detected to start, the power mutation values DeltaP (i) and DeltaQ (i) are assigned as the ith starting power mutation value DeltaP r (i)、△Q r (i) And records the starting time T of the ith event r (i) As shown in formula (3):
s105, after the ith starting time is recorded, continuing to scan a stopping event, judging whether the mutation is the ith stopping event or not, if so, entering S106, otherwise, continuing to S105;
after the ith start time is recorded, continuing to scan for stop events, and when 260S is detected, detecting that |Δp (i) |=1200w, |Δq (i) |=300var, judging according to formula (4), if the condition is satisfied, proving whether the mutation is the ith stop event, wherein the formula (4) is as follows:
after the ith start time is recorded, the stop event scanning is continued, and when the stop mutation power is detected, whether the mutation is the ith stop event is verified, and the judgment is carried out according to the formula (4), wherein the judgment condition is consistent with the start event, and the mutation value is only examined in an absolute value mode. If the condition is met, the next operation is continued, if the condition is not met, the condition indicates that no stop event exists on the bus at the moment, the previous operation is returned, and the monitoring is continued.
S106, after a stopping event is detected, assigning the power mutation value as an ith stopping power mutation value, and recording the stopping moment of the ith event;
when a stopping event is detected, the power mutation values DeltaP (i) and DeltaQ (i) are assigned as ith stopping power mutation values DeltaP d (i)＝-1200W、△Q d (i) = -300Var and records the ith event stop time T d (i) A. The invention relates to a method for producing a fibre-reinforced plastic composite As shown in formula (5):
△P d (i)＝△P(i)＝-1200W
△Q d (i) = Δq (i) = -300Var (5)
S107, calculating the ith running time, wherein the running time is used as a starting time criterion;
specifically, the ith run time T is calculated on (i) E.g. formula (6)
T on (i)＝T d (i)-T r (i) Formula (6).
S108, judging whether the dual electric parameters of the active power and the reactive power of the event start meet the starting threshold value of the microwave oven or not;
s109, judging that the ith working cycle is truly the microwave oven working cycle;
s110, performing identification processing on other characteristic template libraries;
meanwhile, judging whether the dual electric parameters of the active power and the reactive power of the event stop meet a microwave oven stop threshold value or not, additionally judging the starting time duration of the microwave oven, if the dual electric parameters meet the conditions, judging that the ith working cycle is truly the microwave oven working cycle, and carrying out subsequent electric quantity decomposition calculation according to a microwave oven label; otherwise, the identification processing is carried out on other characteristic template libraries, in particular to an electric appliance identification method adopting other parameters as criteria, the algorithm is only effective on the microwave oven load, and if the criteria are not met, other criteria can be entered for judgment, for example, a method of judging whether the electric water heater is judged only through the active power amplitude.
The typical threshold value range of the active power is 1000W-1400W, and the typical threshold value range of the reactive power is 100-400Var, as shown in the formula (7):
s1/11, finishing a working cycle, and returning to the step S101.
The traditional load characteristic extraction method can not effectively distinguish the problem of false identification of the electric appliance caused by similar active power, and the algorithm in the invention locates reactive power criteria with obvious characteristics through analyzing the load characteristics of the microwave oven, so that the success rate and the identification accuracy of the load characteristics of the microwave oven are greatly improved by combining the reactive power criteria and the active power criteria, and the specific implementation is shown in the figure 2.
The algorithm described by the invention mainly solves the problems that the prior electrical appliance identification strategy is single and the misidentification problem with similar active power can not be effectively solved, and meanwhile, the algorithm is compact and simple, thereby being convenient for supporting the rapid transplantation of subsequent non-invasive devices, electric meters, modules and chips.
The invention has the advantages and beneficial effects that:
the method has the advantages that the problems of high false recognition rate and low usability of partial electrical appliance results caused by single electrical appliance criterion in a non-invasive load recognition method are solved, the unique electrical characteristics of the microwave oven with larger reactive power are utilized, the method of combining active power and reactive power dual criteria is adopted, and the two-stage judgment of a starting event and a stopping event is adopted, so that the load characteristics of the microwave oven are accurately extracted, and the recognition precision of the microwave oven is greatly improved;
in addition, the algorithm has small calculated amount and low resource requirement, is suitable for being directly deployed into an embedded system of a hardware terminal in an algorithm APP mode, has high instantaneity for edge calculation, provides high accuracy and response performance for detection of a microwave oven, and has popularization value.
While the foregoing has been described in some detail by way of illustration of the principles and embodiments of the invention, specific examples have been set forth herein to provide a thorough understanding of the method and core concepts of the invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.
Claims (4)
1. A microwave oven load feature extraction method based on dual electrical characteristic criteria, the method comprising:
collecting the cycle-level power of the main loop in real time based on the high-frequency non-invasive identification terminal on the main loop;
filtering and calculating the power of the main loop Zhou Boji, and calculating the load abrupt power;
comparing the minimum power threshold value based on the load abrupt change power, and judging whether a load event starting condition is met or not;
when the starting of a load event is detected, assigning the power mutation value as an ith starting power mutation value, and recording the starting moment of the ith event;
after the ith starting time is recorded, continuing to scan the stopping event, and judging whether the mutation is the ith stopping event or not;
when a stopping event is detected, assigning the power mutation value as an ith stopping power mutation value, and recording the stopping moment of the ith event;
calculating the ith running time;
judging whether the dual electric parameters of the active power and the reactive power started by the event meet the starting threshold value of the microwave oven or not, judging the starting time duration of the microwave oven, and judging the ith working cycle as the working cycle of the microwave oven if the dual electric parameters meet the conditions; otherwise, the characteristic template library is subjected to identification processing.
2. The microwave oven load characteristic extraction method based on dual electrical characteristic criteria according to claim 1, wherein the high-frequency non-invasive identification terminal on the main loop collects the main loop cycle level power in real time, comprising:
the method comprises the steps of installing a high-frequency non-invasive identification terminal on a main loop to be identified, acquiring the high-frequency non-invasive identification terminal in real time, acquiring the high-frequency non-invasive identification terminal through fast FFT, acquiring effective values U (I) and I (I) of the voltage and the current of the frequency at any moment I, and calculating active power P (I) and reactive power Q (I) at moment I, wherein the sampling rate of the high-frequency non-invasive identification terminal is 256 points per week, and the sampling frequency is 12.8 Khz.
3. The method for extracting load characteristics of a microwave oven based on dual electrical characteristic criteria according to claim 2, wherein the filtering calculation of the main loop Zhou Boji power, calculating the load sudden change power, comprises:
and selecting a 20-point filtering difference method to calculate the load abrupt power.
4. The method for extracting load characteristics of a microwave oven based on dual electrical characteristic criteria as claimed in claim 3, wherein said judging whether the load event start condition is satisfied further comprises:
when judging that the load event starting condition is met, carrying out load event starting operation detection; and if the load event starting condition is not met, continuing to calculate the load abrupt power.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108572292A (en) * | 2018-03-27 | 2018-09-25 | 深圳供电局有限公司 | A kind of micro-wave oven non-intruding load discrimination method |
| CN110907762A (en) * | 2019-12-10 | 2020-03-24 | 深圳供电局有限公司 | Non-invasive load matching identification method |
| CN111175599A (en) * | 2019-12-31 | 2020-05-19 | 广西电网有限责任公司电力科学研究院 | Identification method of non-intrusive air conditioner |
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| 基于多源特征量的非侵入式厨房家电辨识研究;谢宏伟;李捷;张良;陶晓峰;周宇;李琦;;国外电子测量技术(第07期);全文 * |
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