CN106501680B - The non-intrusion type micro-wave oven being lifted based on active two sections starts discrimination method - Google Patents
The non-intrusion type micro-wave oven being lifted based on active two sections starts discrimination method Download PDFInfo
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- 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
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Abstract
The present invention relates to a kind of non-intrusion type micro-wave ovens being lifted based on active two sections to start discrimination method, comprising the following steps: one: sampling according to the sample frequency of setting to the voltage and current of the general supply inlet wire of indoor power grid；Two: setting time window；General supply point of incoming cables average active power value corresponding with time window is calculated, average active power value is followed successively by the element for constituting average active power sequence；Three: the active power difference sequence being made of active power difference value is calculated according to average active power sequence；Four: judging whether two sections of active power liftings occur according to active power difference sequence, judge whether there is micro-wave oven starting in indoor power grid further according to the temporal characteristics of two sections of active power lifting increment features, the return step three if without electromagnetic oven starting.Active power regular lifting feature when the present invention has fully considered micro-wave oven starting, increases the accuracy of micro-wave oven non-intruding identification.
Description
Technical field
The invention belongs to intelligent power technical fields, are related to a kind of non-invasive discrimination method for micro-wave oven.
Background technique
Residential power load monitoring decomposition technique is an emerging smart grid base support technology, with current intelligence electricity
Table only measures that user general power is different, it is to monitor and decomposite starting time, the working condition, energy of all electric appliances in household
Consumption situation is target, to realize relatively reliable, accurate electric flux management.Electric load monitoring decomposition technique makes the electricity of user
Take inventory as telephone charge inventory, the electricity consumption of all kinds of household electrical appliance is very clear, so that user be made to understand oneself in time
Electricity consumption situation provides reference for the electricity consumption time and corresponding electricity consumption of each electric appliance of reasonable distribution, can finally effectively reduce
Electric cost expenditure and waste of energy.Google statistical data is shown, if domestic consumer can understand the detailed of house electric apparatus in time
Power information can make monthly electricity charge spending decline 5%~15%；If state-owned saving half family every month in the whole America is so more
Spending, the carbon emission amount of reduction are equivalent to the use for reducing by 8,000,000 automobiles.For industrial user, load switching peace
Row is usually more fixed, only needs time-sharing measurement, and the demand to load decomposition is less, therefore electric load monitoring is decomposed
Main study subject be residential electric power load.
Currently, residential power load monitoring decomposition technique, which is broadly divided into intrusive monitoring, decomposes (Intrusive Load
Monitoring and decomposition, ILMD) and non-intruding monitor decomposition (Non-intrusive Load
Monitoring and decomposition, NILMD) two major classes:
(1) intrusive load monitoring decomposition technique (ILMD): intrusive load monitoring will have the biography of digital communication functions
Sensor is mounted on the interface of each electric appliance and power grid, can be with the operating status and power consumption of each load of accurate measurements.But it is big
Amount installation monitoring sensor causes the higher cost built and safeguarded, it is most important that intrusive load monitoring needs to enter resident
Installation and debugging are carried out in family, user is be easy to cause to resist psychology；
(2) non-intrusion type load monitoring decomposition technique (NILMD) :) non-intrusion type load monitoring only at user entry pacify
A sensor is filled, the use of indoor each or every electric appliances is judged by acquiring and analyzing the information such as entrance total current, voltage
Electrical power and working condition (for example, air-conditioning has the different working conditions such as refrigeration, heating, standby), to obtain the use of resident
Electric rule.It is compared with intrusive load decomposition, due to only needing to install a monitoring sensor, non-intruding load decomposition scheme
Construction cost and later maintenance difficulty are all greatly reduced；In addition, sensor mounting location can choose at electric supply meter case, it is complete
It will not invade in household and construct entirely.It is believed that NILMD replaces the sensor network of ILMD system with decomposition algorithm,
It is complete with simple, economic, reliable, data and the advantages such as be easy to promote and apply rapidly, it is expected to develop into advanced measurement system
(AMI) core technology (after mature, NILMD algorithm can also be fused in the chip of intelligent electric meter) of new generation, supports demand in
The Premium Features of the intelligent powers such as side pipe reason, custom power are also applied for the provisional monitoring of load electricity consumption details and investigation.
Micro-wave oven is the equipment with microwave come cooking food, it is by a kind of electronic vacuum pipe --- magnetron generates
The ultrashort wave electromagnetic wave of 2450MHz, passes through microwave transmission element --- and waveguide is emitted in furnace everywhere, by emitting, passing
It leads, by food absorption, causes the polar molecule (such as water, fat, protein, sugar) in food high with 24.5 hundred million times per second
Speed vibration simultaneously makes food therein generate high fever by vibrating caused friction, and food is cooked.The microwave output power of micro-wave oven
Generally within the scope of 600W~900W.Transfer efficiency generally presses 30%~60% calculating, and the actual power consumption of micro-wave oven is about
1100W~1400W.
It is existing to study the starting current for being concentrated mainly on micro-wave oven, the theory for running the part throttle characteristics such as active/reactive power
Research, but practical micro-wave oven non-intruding discrimination method is suggested not yet.
In conclusion NILMD technology has been increasingly becoming a research hotspot, the breakthrough and industrialization of the relevant technologies are to complete
The energy-saving and emission-reduction of society are of great significance.Currently, the research of NILMD technology also rests on theoretical research stage, to multimode
The practical discrimination method that decomposes of discontinuous operation electric appliance, especially micro-wave oven need to be broken through.
Summary of the invention
The object of the present invention is to provide one kind can accurately perceive invading based on active two sections the non-of lifting for running of microwave oven
Enter type micro-wave furnace starting discrimination method.
In order to achieve the above objectives, the technical solution adopted by the present invention is that:
A kind of non-intrusion type micro-wave oven starting discrimination methods based on active two sections liftings, for being recognized with non-intruding mode
Whether there is microwave starting in indoor power grid out, the non-intrusion type micro-wave oven being lifted based on active two sections starts discrimination method packet
Include following steps:
Step 1: according to the sample frequency f of settingsThe voltage and current of the general supply inlet wire of the indoor power grid is carried out
Sampling, is respectively formed voltage sample sequence u and current sampling sequence i；
Step 2: setting time window；According in the voltage sample sequence u and the current sampling sequence i with it is described
Part corresponding to time window calculates general supply point of incoming cables average active power value corresponding with the time window
Pk, the average active power value PkIt is followed successively by the element for constituting average active power sequence P；K corresponds to this time used
The number of window；
Step 3: it is calculated according to the average active power sequence P by active power difference value Δ PkThe wattful power of composition
Rate difference sequence Δ P；
Step 4: judging whether two sections of active power liftings occur according to the active power difference sequence Δ P, further according to
Two sections of active power is lifted the temporal characteristics of increment feature to judge whether there is micro-wave oven starting in the indoor power grid, if
There is no electromagnetic oven starting then return step three.
In the step 4, if occurring two positive value elements in the active power difference sequence Δ P, appearance two is judged
Section active power lifting, if the value of first positive value element belongs in the first value range of setting, second it is described just
The value of value element belongs in the second value range of setting, and the time interval that two sections of active power liftings occur belongs to setting
In time interval value range, then judge there is micro-wave oven starting in the indoor power grid.
Preferably, first value range is 300W-500W；Second value range is 800W-1000W, described
Time interval value range is 2.0s-3.0s.
In the step 1, the value range of the sample frequency is 1kHz-10kHz.
In the step 2, the average active power value PkCalculation method are as follows:
Wherein, m is contained power frequency period number in the time window, first in the n time window to be sampled
Sampling point number, N are the sampled point number that a power frequency period includes.
In the step 3, the active power difference value Δ PkCalculation method are as follows:
ΔP1=P1
ΔPk=Pk-Pk-1
Wherein, k=2,3 ....
Due to the above technical solutions, the present invention has the following advantages over the prior art: the invention proposes one
The non-intrusion type micro-wave oven that kind is lifted based on active two sections starts discrimination methods, and this method is compared to single active power point
Analysis, active power regular lifting feature when having fully considered micro-wave oven starting, so as to accurately distinguish micro-wave oven and perception
Appliance working (such as electric cooker etc.) increases the accuracy of micro-wave oven non-intruding identification.
Detailed description of the invention
Attached drawing 1 is the process signal that the non-intrusion type micro-wave oven of the invention being lifted based on active two sections starts discrimination method
Figure.
The calculated result figure of average active power when attached drawing 2 is running of microwave oven.
Attached drawing 3 is that average active power changes schematic diagram when micro-wave oven starts.
Average active power difference sequence figure when attached drawing 4 is running of microwave oven.
Specific embodiment
The invention will be further described for embodiment shown in reference to the accompanying drawing.
Embodiment one: the magnetron of micro-wave oven is exported by cathode (filament), anode, coupling ring, annular magnetic steel and energy
The composition such as mechanism (antenna) extends life of product, needs to microwave oven magnetic to preferably protect the magnetron of micro-wave oven
It is preheated, the power of micro-wave oven consumption at this time is substantially zeroed.Micro-wave oven reaches firm power and is greater than from being opened into this period
3s, and power is also not to increase to firm power suddenly, this is because filament heating is insufficient, causes electron emission insufficient
Caused by.Cause microwave power slowly and rise in two times to reach firm power, needs the time of 3s or so this period.
Features described above based on micro-wave oven proposes a kind of based on the active two sections non-intrusion type micro-wave oven being lifted starting identifications
Method picks out in indoor power grid whether have microwave starting with non-intruding mode, the non-intrusion type that should be lifted based on active two sections
Micro-wave oven start discrimination method the following steps are included:
Step 1: according to the sample frequency f of settingsAnd use voltage sensor and current sensor to the indoor electricity of user
The voltage and current of the general supply inlet wire of net is sampled, and voltage sample sequence u and current sampling sequence i are respectively formed.Voltage
Element in sample sequence u is followed successively by u1、u2、u3..., the element in current sampling sequence i is followed successively by i1、i2、i3,….The step
In rapid, the value range of sample frequency is 1kHz-10kHz.In the present embodiment, sample frequency f is selecteds=1kHz.
Step 2: setting time window includes m=5 power frequency period in the time window, includes in a power frequency period
N number of sampled point.Voltage sample sequence u and current sampling sequence i are scanned, according to voltage sample sequence u and current sample
With part corresponding to time window in sequence i, general supply point of incoming cables average active power value corresponding with time window is calculated
Pk, average active power value PkIt is followed successively by the element for constituting average active power sequence P；Average active power value PkSubscript k
Corresponding to the number of this time window used, one time window of every selection can calculate an average active power value
PkTo constitute active power sequence P.
Average active power value PkCalculation method are as follows:
Wherein, m is contained power frequency period number in time window, and n is that the first sampled point sampled is compiled in time window
Number, N is the sampled point number that a power frequency period includes.Sampled point each in time window is calculated by above formula
Obtain corresponding average active power value Pk。
Step 3: it is calculated according to average active power sequence P by active power difference value Δ PkThe active power of composition is poor
Sub-sequence Δ P.
Active power difference value Δ PkCalculation method are as follows:
ΔP1=P1
ΔPk=Pk-Pk-1
Wherein, k=2,3 ..., k correspond to the sample size in the average active power sequence P for participating in operation, value
Usually 10-1000 takes 100 here.
From Fig. 2 and the corresponding average active power calculated result of micro-wave oven primary heating process shown in Fig. 3, it can be seen that
Micro-wave oven be lifted to since power power stability operation be slowly to rise, can approximation regard as in two times power lifting, and have
There is fixed time interval；The maximum active power of the micro-wave oven is 1300W or so, and the lifting of first time active power is about
400W, second of active power lifting is about 900W, and the time interval A of active power lifting twice is 2.5s or so.
Step 4: judge whether two sections of active power liftings occur according to active power difference sequence Δ P, further according to two sections
Active power is lifted the temporal characteristics of increment feature to judge whether there is micro-wave oven starting in indoor power grid, if opening without electromagnetic oven
Dynamic then return step three.
Specifically, scanning active power difference sequence Δ P, if occurring two positive value members in active power difference sequence Δ P
Element, the two positive value elements are respectively L1, L2, then may determine that two sections of active power liftings of appearance.If first positive value element
The value of (i.e. previous positive value element) belongs in the first value range of setting, (i.e. the latter positive value is first for second positive value element
Element) value belong in the second value range of setting, and the time interval T that occurs of two sections of active power lifting belong to setting when
Between be spaced value range in, then judge there is micro-wave oven starting in indoor power grid.In general, the first value range is 300W-500W；The
Two value ranges are 800W-1000W, and time interval value range is 2.0s-3.0s.Therefore, as 300W < L1 < 500W and
800W < L2 < 1000W and when 2.0s < T < 3.0s, that is, can determine whether there is micro-wave oven starting in actual time window.
Difference sequence analysis as shown in Figure 4 is it is found that it is positive value that variable twice, which continuously occurs, in average active power difference sequence
Sequence, while total increment size be 365W and 935W, and the two time interval be 2.5s, therefore can determine whether this processing when
Between have micro-wave oven starting in window.
Foregoing provide a kind of completely new average active power difference sequence Δ P micro-wave ovens being lifted based on active two sections to transport
Row non-intruding discrimination method, this method can accurately perceive the operation of micro-wave oven, to realize that the non-intruding identification of micro-wave oven provides
Technical support.
The above embodiments merely illustrate the technical concept and features of the present invention, and its object is to allow person skilled in the art
Scholar cans understand the content of the present invention and implement it accordingly, and it is not intended to limit the scope of the present invention.It is all according to the present invention
Equivalent change or modification made by Spirit Essence, should be covered by the protection scope of the present invention.
Claims (5)
1. a kind of non-intrusion type micro-wave oven being lifted based on active two sections starts discrimination method, for being picked out with non-intruding mode
Whether there is microwave starting in indoor power grid, it is characterised in that: described based on the active two sections non-intrusion type micro-wave oven being lifted startings
Discrimination method the following steps are included:
Step 1: according to the sample frequency f of settingsThe voltage and current of the general supply inlet wire of the indoor power grid is sampled,
It is respectively formed voltage sample sequence u and current sampling sequence i；
Step 2: setting time window；According in the voltage sample sequence u and the current sampling sequence i with the time
Part corresponding to window calculates general supply point of incoming cables average active power value P corresponding with the time windowk, institute
State average active power value PkIt is followed successively by the element for constituting average active power sequence P；K corresponds to this time window used
Number；
Step 3: it is calculated according to the average active power sequence P by active power difference value Δ PkThe active power difference of composition
Sequence Δ P；
Step 4: judge whether two sections of active power liftings occur according to the active power difference sequence Δ P, further according to described
Two sections of active power are lifted the temporal characteristics of increment feature to judge whether there is micro-wave oven starting in the indoor power grid, if not having
Electromagnetic oven starts then return step three；
In the step 4, if occurring two positive value elements in the active power difference sequence Δ P, judge that occurring two sections has
Function power lifting, if the value of first positive value element belongs in the first value range of setting, second positive value member
The value of element belongs in the second value range of setting, and the time interval of two sections of active power lifting appearance belongs to the time of setting
It is spaced in value range, then judges there is micro-wave oven starting in the indoor power grid.
2. the non-intrusion type micro-wave oven according to claim 1 being lifted based on active two sections starts discrimination method, feature
Be: first value range is 300W-500W；Second value range is 800W-1000W, and the time interval takes
Value range is 2.0s-3.0s.
3. the non-intrusion type micro-wave oven according to claim 1 or 2 being lifted based on active two sections starts discrimination method, special
Sign is: in the step 1, the value range of the sample frequency is 1kHz-10kHz.
4. the non-intrusion type micro-wave oven according to claim 1 or 2 being lifted based on active two sections starts discrimination method, special
Sign is: in the step 2, the average active power value PkCalculation method are as follows:
Wherein, m is contained power frequency period number in the time window, and n is the first sampling sampled in the time window
Point number, N are the sampled point number that a power frequency period includes.
5. the non-intrusion type micro-wave oven according to claim 1 or 2 being lifted based on active two sections starts discrimination method, special
Sign is: in the step 3, the active power difference value Δ PkCalculation method are as follows:
ΔP1=P1
ΔPk=Pk-Pk-1
Wherein, k=2,3 ....
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Families Citing this family (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107247201A (en) * | 2017-06-09 | 2017-10-13 | 东南大学 | Electric oven non-intruding discrimination method based on power and time response |
| CN107561354B (en) * | 2017-08-17 | 2019-09-10 | 江苏智臻能源科技有限公司 | More electric appliance non-intruding discrimination methods based on power duration characteristic |
| CN108152574A (en) * | 2017-12-26 | 2018-06-12 | 江苏智臻能源科技有限公司 | A kind of non-intruding discrimination method of the running of microwave oven based on mixing criterion |
| CN108152630B (en) * | 2017-12-26 | 2023-11-14 | 江苏智臻能源科技有限公司 | Non-invasive IH electric cooker operation identification method based on mixing criterion |
| CN108354403B (en) * | 2018-02-25 | 2020-09-01 | 南京溧水高新创业投资管理有限公司 | Intelligent water cup with humidifying function |
| CN108572292A (en) * | 2018-03-27 | 2018-09-25 | 深圳供电局有限公司 | Non-invasive load identification method for microwave oven |
| CN108595376B (en) * | 2018-03-27 | 2021-10-29 | 深圳供电局有限公司 | Non-invasive load identification method for distinguishing fixed-frequency air conditioner and percussion drill |
| CN112345824B (en) * | 2020-09-27 | 2022-04-26 | 国网湖南省电力有限公司 | Variable frequency air conditioner non-invasive identification method based on piecewise linear approximation algorithm |
| CN112351538B (en) * | 2020-10-19 | 2022-07-19 | 威胜集团有限公司 | Method, system, terminal and storage medium for judging starting of microwave oven |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103439573A (en) * | 2013-08-14 | 2013-12-11 | 国家电网公司 | Method and system for identifying household loads based on transient characteristic close degree matching |
| CN105406596A (en) * | 2015-12-11 | 2016-03-16 | 国家电网公司 | Hybrid current criterion based non-invasive non-variable frequency air conditioner starting identification method |
| CN105629065A (en) * | 2016-01-07 | 2016-06-01 | 东南大学 | Microwave oven non-intruding identification method based on average active and reactive power comprehensive spectrum analysis |
| CN105911342A (en) * | 2016-04-15 | 2016-08-31 | 东南大学 | Power-duration-time-characteristic-based non-intrusive identification method of electric cooker |
| CN106124850A (en) * | 2016-07-20 | 2016-11-16 | 国网江西省电力公司南昌供电分公司 | A kind of load identification system for domestic intelligent electricity meter based on similarity algorithm and load recognition methods thereof |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2671178B1 (en) * | 2011-02-04 | 2018-10-17 | Bidgely Inc. | Systems and methods for improving the accuracy of appliance level disaggregation in non-intrusive appliance load monitoring techniques |
| US9470551B2 (en) * | 2011-12-20 | 2016-10-18 | Robert Bosch Gmbh | Method for unsupervised non-intrusive load monitoring |
-
2016
- 2016-11-28 CN CN201611062685.8A patent/CN106501680B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103439573A (en) * | 2013-08-14 | 2013-12-11 | 国家电网公司 | Method and system for identifying household loads based on transient characteristic close degree matching |
| CN105406596A (en) * | 2015-12-11 | 2016-03-16 | 国家电网公司 | Hybrid current criterion based non-invasive non-variable frequency air conditioner starting identification method |
| CN105629065A (en) * | 2016-01-07 | 2016-06-01 | 东南大学 | Microwave oven non-intruding identification method based on average active and reactive power comprehensive spectrum analysis |
| CN105911342A (en) * | 2016-04-15 | 2016-08-31 | 东南大学 | Power-duration-time-characteristic-based non-intrusive identification method of electric cooker |
| CN106124850A (en) * | 2016-07-20 | 2016-11-16 | 国网江西省电力公司南昌供电分公司 | A kind of load identification system for domestic intelligent electricity meter based on similarity algorithm and load recognition methods thereof |
Non-Patent Citations (1)
| Title |
|---|
| 磁控管预热时间对微波炉能效影响的研究;康新蕾;《家电科技》;20131231(第2期);正文第47页第2-3栏及图2b |
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