CN102279326B - Electrical appliance recognition method and household user carbon emission metering system applying same - Google Patents

Electrical appliance recognition method and household user carbon emission metering system applying same Download PDF

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CN102279326B
CN102279326B CN201110101398.4A CN201110101398A CN102279326B CN 102279326 B CN102279326 B CN 102279326B CN 201110101398 A CN201110101398 A CN 201110101398A CN 102279326 B CN102279326 B CN 102279326B
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current
electrical equipment
electrical appliance
current characteristic
module
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CN201110101398.4A
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CN102279326A (en
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熊春
李鑫
朱石超
程振
尹仕
李江晨
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华中科技大学
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Abstract

The invention discloses an electrical appliance recognition method. The method is characterized in that: an electrical appliance is recognized according to a matching result of current characteristic parameter values. The invention further provides a household user carbon emission metering system applying the method. The metering system comprises a bus voltage sampling module, a bus current detection module, a phase detection module, a signal conditioning module, an amplitude detection module, an electrical appliance recognition module and a carbon metering module, wherein the bus voltage sampling module is connected with the input ends of the phase detection module, the signal conditioning module and the amplitude detection module respectively; the bus current detection module is connected with the input end of the signal conditioning module; the output ends of the phase detection module, the signal conditioning module and the amplitude detection module are connected with the input end of the electrical appliance recognition module; and the output end of the electrical appliance recognition module is connected with the carbon metering module. In the system, carbon emission is metered on the basis of accurate recognition of the electrical appliance, so that people are helped to set up the consciousness of energy saving, emission reduction and low-carbon consumption and correct incorrect power utilization habits.

Description

Domestic consumer's carbon emission metering system of electrical appliance recognition and application the method
Technical field
The present invention relates to the electrical load identification of a kind of family and carbon emission monitoring metering system, particularly domestic consumer's carbon emission metering system of a kind of electrical appliance recognition and application the method.
Background technology
Development along with electronic technology, the multifunctional electric energy meter that the single-chip microcomputer of take is core is universal gradually, this class electric energy meter has higher measuring accuracy and arithmetic speed, adopt charactron or LCDs to show, can carry out record to the consumption of each month electric energy, preserve a maximum demand of electric energy, parameters etc.But this is only confined to the power consumption of the whole electrical appliances of metering user, can not be accurate to each electrical appliance.And this class ammeter is only according to the amplitude of the electric current and voltage of electrical network, to carry out metering and the statistics of electric energy in measuring method, thereby function ratio is more single.The communication capacity of above-mentioned ammeter network is very poor or do not possess network communications capability, is difficult to realize synchronous with communication and the data of network host computer.Existing electrical appliance recognition technology only can be carried out pilot relay power down process (patent No. 200620127335.0 has the electronic electric energy meter of electrical appliance recognition function) when user has powerful electrical appliance to load; Another patent (201010250565.7 1 kinds of methods of utilizing intelligent grid regulating and controlling carbon emission of users of the patent No.) has proposed a kind of identification user power supply composition and has come from pollution character power supply or cleaning properties power supply, and analyze energy consumption and carbon emission amount, in existing technology, do not realize the function of single electrical appliance identification.
If detect the power consumption of each electrical appliance, existing universal method is, at the power import of each household electrical appliance, voltage, current sensor are installed, then carries out electrical measurement according to the data of collecting.Although can reach corresponding object like this, on the high side, complexity is installed, feasibility is poor.
Under existing conditions, domestic consumer lacks the consciousness of energy-saving and emission-reduction and low-carbon (LC) consumption, seldom or does not at all consider the additional carbon emission amount that some electrical appliances in use produce, and so just may cause excessive carbon emission.Due to the misleading of lowly adding some aspect of entire society's low-carbon (LC) consumption consciousness, can cause it to continue to use unconsciously some irrational life styles, in the unconscious middle construction that destroys whole environment.
Summary of the invention
The object of the invention is to provide a kind of electrical appliance recognition, can accurately identify the electrical equipment using.
The domestic consumer's carbon emission metering system that another object of the present invention is to provide application said method, first identifies the electrical equipment using, and measures energy consumption and the carbon emission amount of this electrical equipment, and whole system is easy for installation, simple in structure.
The technical solution adopted for the present invention to solve the technical problems is:
Domestic consumer's carbon emission metering system of electrical appliance recognition and application the method: comprise a busbar voltage sampling module, bus current detection module, phase detecting module, signal condition module, amplitude detection module, power module, human-computer interaction module, electrical equipment identification module, carbon metering module.
Busbar voltage sampling module is by voltage sensor (voltage sensor can be voltage transformer (VT), voltage hall sensor etc.), bus current detection module is to convert the high-voltage large current of grid side to voltage signal by current sensor (current sensor can be current transformer, current Hall sensor, shunt etc.), send phase detecting module, signal condition module and amplitude detection module to, and realize the isolation of electric equipment compartment.
Phase detecting module comprises impact damper and hysteresis comparator, and the zero crossing of detection signal, for sampling and the extraction of characteristic parameter provide time reference; Signal condition module comprises buffer circuit, signal gain/decay part, and signal overlapping portion and frequency overlapped-resistable filter, nurse one's health suitable scope by sampled signal; Amplitude detection module comprises impact damper and peak value retaining part, the maximal value of detection signal.
Power module adopts AC/DC switch transducer to provide electric energy for whole system, high with respect to linear quantizer work efficiency.
Electrical equipment identification module and phase detecting module, signal condition module, amplitude detection module is connected with human-computer interaction module, and be connected with carbon metering module by serial communication, by the analysis and calculation to current and voltage data, according to the characteristic parameter of electrical appliance, carry out fuzzy distinguishing, realized the identification of the electrical appliance that domestic consumer using, and can record the power consumption of each electrical appliance, and realize that superpower is processed and the Power Limitation of electrical appliance.Serial communication Adoption Network addressing mode, realizes communicating by letter of single serial ports and computer, carbon metering module.
The characteristic parameter of the electrical appliance that above-mentioned electrical equipment identification module detects comprises current peak, electric current average, current effective value, current first harmonics, current harmonics amplitude, current harmonics phase place, electrical appliance applied power, active power, electrical appliance power consumption curve, current harmonics length etc.
The electrical appliance recognition that above-mentioned electrical equipment identification module adopts is a kind of fuzzy recognition algorithm based on mark.According to the characteristic parameter of electrical appliance, obtain corresponding score value with the matching degree of corresponding parameter in database, score value and qualifying score value relatively determine recognition result.
Above-mentioned property data base has the characteristic information of family's all types electrical appliance, and property data base can be according to the real-time dynamic change of the variation of domestic electric appliances.
The dynamic change of above-mentioned characteristic refers to according to electrical appliance characteristic parameter score value in each domestic electric appliances situation real-time update database and when new electrical appliance being detected, is written into new electrical appliance data.
Contents displayed on interface, the touch sensible that the liquid-crystal controller that human-computer interaction module 1 comprises can be realized touch LCD screen process and with the communication of electrical appliance identification master controller.The statistics of total electrical appliance energy consumption that the contents displayed on interface of liquid crystal comprises family, the detail statistics of the single electrical appliance of electrical appliance and family that family is used in real time.
Carbon metering module adopts serial port to be connected with human-computer interaction module 2 with electrical equipment identification module, and is furnished with internet communication interface.According to certain converting standard, the power consumption of electrical appliance is converted to corresponding carbon value, realizes abstract carbon emission process is quantized, household energy consumption is adjusted in monitoring.The touch LCD display comprising by human-computer interaction module 2, presents the result of current carbon emission statistics in the mode of figure, with the information of form, provide Useful Information.Tool is adjusted monitoring, individual's inquiry, and three functions of intelligence suggestion, can analyze the direction that family consumes carbon amount, and propose conductive suggestion.
Technique effect of the present invention is embodied in: adopt non-invasion monitoring method, without the entrance pick-up unit of powering at each electrical appliance, and just at user's the total upstream end of electric wire, voltage and current sensor is installed, Real-time Collection voltage, current data, with software, analyze, to determine the power consumption of each household electrical appliance, drop into lowlyer, and monitoring device can catch each information constantly changing of electric load incessantly.According to the characteristic parameter of electrical appliance, carry out fuzzy diagnosis, realized the identification of the electrical appliance that domestic consumer using, and record the power consumption of each electrical appliance, and can realize that superpower is processed and the Power Limitation of electrical appliance.Data are sent to carbon metering module simultaneously, according to certain conversion standard, the consumption of electrical appliance is converted to corresponding carbon value and record and process, contribute to people to establish the consciousness of energy-saving and emission-reduction and low-carbon (LC) consumption, correct incorrect consumption habit, for environment is made own share contribution.
Accompanying drawing explanation
Fig. 1 is one-piece construction schematic diagram of the present invention.
Fig. 2 is bus current detection module and the signal condition module circuit diagram of an example of the present invention.
Fig. 3 is busbar voltage sampling module, phase detecting module, signal condition module, the amplitude detection module circuit diagram of an example of the present invention.
Fig. 4 is the power module circuitry figure of an example of the present invention.
Fig. 5 is processor (MCU) circuit diagram of the electrical equipment identification module of an example of the present invention.
Fig. 6 is the software flow pattern of the electrical equipment identification of an example of the present invention.
Fig. 7 is the obfuscation marking principle of an example of the present invention: the schematic diagram that is related to scoring method based on error linguistic variable.
Fig. 8 is the electrical appliance recognition process flow diagram of an example of the present invention.
Embodiment
Below in conjunction with accompanying drawing, provide an embodiment:
As shown in Figure 1, domestic consumer's carbon emission metering system of a kind of electrical appliance recognition and application the method: comprise busbar voltage sampling module, bus current detection module, phase detecting module, signal condition module, amplitude detection module, power module, human-computer interaction module 1 and 2, electrical equipment identification module, carbon metering module.
Busbar voltage sampling module is by voltage sensor (voltage sensor can be voltage transformer (VT), voltage hall sensor etc.), bus current detection module is to convert the high-voltage large current of grid side to low-voltage little electric current by current sensor (current sensor can be current transformer, current Hall sensor, shunt etc.), send phase detecting module, signal condition module and amplitude detection module to, and realize the isolation of electric equipment compartment.
As shown in Figure 2, this example current sensor adopts current closed-loop Hall element CSM010SY, and primary current measurement range is-20A mono-20A, and secondary rated output voltage is 4V, and the linearity is less than 0.1%, and precision is less than 0.7%.Rear class is gain/attenuation two-way modulate circuit, employing has ultralow skew, low input bias current, low maladjustment voltage drift, overstable amplifier op07, assurance output signal accuracy is optimum, becomes voltage signal to give electrical equipment identification module the large current conversion on bus.
As shown in Figure 3, this example voltages sensor adopts voltage transformer (VT) TVA1421-01, and rated current is 6mA/6mA, and nonlinearity is less than 0.2%.After impact damper, sluggish zero-crossing comparator, amplitude detector and after corresponding modulate circuit, become voltage signal to give electrical equipment identification module the large voltage transitions on subscriber's drop.
Phase detecting module is used for comprising impact damper and hysteresis comparator, and the zero crossing of detection signal, for sampling and the extraction of characteristic parameter provide time reference; Signal condition module comprises buffer circuit, signal gain/decay part, and signal overlapping portion and frequency overlapped-resistable filter, nurse one's health suitable scope by sampled signal; Amplitude detection module comprises impact damper and peak value retaining part, for detection of the maximal value of signal.
As shown in Figure 4, in power module, adopt respectively LH10-10A15, AC/DC switch transducer; LM2576, DC-DC switch converters; AS1117, linear DC transducer is whole circuit supply, has both guaranteed that conversion efficiency was by the stability that has guaranteed power supply.
As shown in Figure 5, electrical equipment identification module main control chip adopts ADuC7026, integrated 1MSPS in single-chip, 12, the data acquisition system (DAS) of hyperchannel High Performance ADC, kernel are ARM7TDMI, and it is 16/32 RISC machines, and its peak performance peak value is up to 41MIPS.Embedded has SRAM and the non-volatile Flash/EE storer of 62KB of 8KB.System based on these chip research and development can complete the identification of electrical appliance easily, electrical measurement, and the transmission of data, the work such as incident management, precision high reliability is strong.Human-computer interaction module 1 adopts 5.7 cun of liquid crystal touch display screens, makes the demonstration of data more directly perceived, and it is more convenient to operate.
Figure 6 shows that electrical equipment identification workflow diagram.First 12 ADC that use the upper chip of ADuC7026 to carry sample to voltage and current signal.In the data sampling stage, in order to make system when operation, data do not get muddled, and can only make system carve in due course image data.In data handling procedure, data sampling is need to be forbidden.Yet in order to guarantee that each data handling procedure keeps certain consistance, must have benchmark the zero hour of sampling.Because native system has been done zero passage detection to line voltage, just the moment of zero passage provides possibility for data sampling to voltage.Based on above analysis, the concrete grammar of implementation data sampling is: whether set up zone bit Data hold to be used to refer to data needs to keep, putting 1 system thinks and needs to keep, it occurs over just the moment of full 256 points of data acquisition, set to 0 thinking sampling can carry out sometime, it occurs over just the complete moment of data processing; Whether set up zone bit AD enable to be used to refer to AD sampling instant and arrive, putting 1, occur over just Data hold, setting to 0 and occurring in Data hold is moment of 1 if being 0 and moment of constantly arriving of voltage zero-cross.For meeting under 50Hz mains frequency, the demand of 256 points of a periodic sampling, has set the timer of a 20000/256us.Sampled rear this sampled data and last sampled data are done poor, draw this sampled data of newly-increased electrical appliance, then sampled data is extracted to corresponding characteristic parameter, the data that sample are carried out to FFT conversion simultaneously, again extract corresponding characteristic parameter.This example makes the characteristic parameter of electrical appliance comprise current peak, electric current average, current effective value, current first harmonics, current harmonics amplitude, current harmonics phase place, electrical appliance active power, current harmonics length.Current peak, electric current average are just processed and can be accessed current data in real time when sampling.And the characteristic parameters such as current effective value, first-harmonic can obtain after Fourier FFT conversion.After FFT conversion, resulting data are not yet normalized, in order to guarantee the consistance of characteristic parameter in access procedure, data need to be normalized.Normalized criterion is to take fundamental voltage amplitude component as 100, the corresponding geometric ratio adjustment of other harmonic componentss.For normalization data can be restored, also need to store the power information of each electrical appliance.Then, then make comparison according to relevant parameter in these parameters and database, in order to reach the object of electrical appliance identification, this example adopts and based on error linguistic variable, is related to scoring method shown in Fig. 7.First for the analog value in a certain characteristic parameter and existing database, carry out fuzzy algorithm comparison, if eigenwert and existing value coupling are very good, provide a very high score value, the mark of beating along with the decline of matching degree also reduces accordingly.Then, for the recognition result of every kind of characteristic parameter obfuscation, have corresponding matching factor, matching factor is multiplied by this parameter and occupies score value, can obtain the score of this parameter.Finally, the score of all characteristic parameters is added, obtains the coupling score value of this electrical appliance.For every kind of electrical appliance in database, all can obtain a corresponding score value, maximum score value and qualifying score value relatively determine that whether electrical appliance identification is successful.If maximum score value has exceeded definition and ruling, thinks that system electrical equipment identifies successfully, result is and obtains the corresponding electrical appliance of largest score; If maximum score value does not surpass and ruling, think in database and still do not have this kind of electrical appliance, need be for further processing.This example, by minimum the match is successful the requirement in qualifying score value location, is not limited to this, can adjust according to the recognition accuracy of test of many times result.
Figure 8 shows that the process flow diagram of electrical equipment identification.First according to the variation judgement of the power of house lead in end, have electrical appliance to open or close, if power is constant, front one-time detection recognition result is constantly current recognition result; Further, can verify recognition result, the reference current characteristic ginseng value of each electrical equipment in current recognition result is done and, itself and the current current characteristic parameter value extracting are compared, if comparative result meets successfully requirement of minimum identification, identify successfully, otherwise recognition failures.Minimum identification successfully requires to determine according to the accuracy rate of test result repeatedly.Due to opening of electrical appliance, identifying and close identification is two similar processes, is identified as example explanation identifying below there to be electrical appliance to open:
Start to detect electric wire house lead in end increased power, illustrated that electrical appliance opens, now according to extraction characteristic parameter method explained above, the electrical appliance of opening is carried out to the extraction of characteristic parameter, first with database in the relevant parameter of single electrical appliance contrast, take above describedly based on error linguistic variable, to be related to that scoring method carries out relevant scoring to electrical appliance.For the example of a marking is enumerated in explanation more clearly below:
The reference current harmonic wave relevant information of table 1 display
As shown in table 1, be the reference current harmonic wave relevant information of display in the database of an example of the present invention.Harm_length is total harmonic length; Harm_num is corresponding overtone order; FFT_R is the imaginary part of this subharmonic after FFT conversion; FFT_I is the real part of this subharmonic after FFT conversion.
The new use electric current harmonic wave correlation parameter that table 2 detects
Recognize the electrical appliance of a new access, make comparisons with each electrical appliance relevant parameter of database storage respectively, provide mark.As shown in table 2, the relevant parameter of electrical appliance current harmonics newly recognizing for an example of the present invention, here take this parameter as example explanation marking process, the total weight value of current harmonics is 0.8,80 minutes in centesimal system namely, and the weights of harmonic length are 0.3, namely 80*0.3=24 divides; The harmonic parameters that the distribution weights of every subharmonic be take in database is reference distribution, such as this and the display in database are made comparisons, the weights that every subharmonic is assigned to are 0.7/6=0.117, again the relevant parameter of the electrical appliance newly recognizing is drawn to score value in contrast, finally all score values of this parameter are added, then the score value of all parameters are added and can be drawn as following table:
Table 3 newly makes electrical appliance marking table
The mark of being beaten by the known electric fan of table 3 is the highest, is 90 minutes, and remaining mark does not all have to pass, and known this new access electrical appliance is identified as electric fan.Start to record the relevant parameters such as power of this electrical appliance, above-mentioned single electrical appliance identifying is the first stage of identification simultaneously.If all marks are all failed, recognition failures, proceeds to the subordinate phase of identification.
The subordinate phase of identification: first analyze the electrical appliance data message collecting, each electrical appliance reference record in database is read, power information by each electrical appliance is carried out the permutation and combination between different electrical appliance parameters from harmonic information, take electrical appliance harmonic length as preferential combination principle, according to electrical appliance from less to more, draw the combination parameter of different electrical appliances.In fact, the anabolic process of a plurality of electrical appliances, is exactly a process of separating multidimensional system of linear equations.Afterwards, re-using similar single electrical appliance recognition methods identifies a plurality of electrical appliances of opening simultaneously.If identified successfully, start to record the parameters such as power of electrical appliance, and show.If all marks are all failed, recognition failures, proceeds to next stage of identification.
The phase III of identification: above-mentioned identification is all unsuccessful, in database of descriptions, do not store the characteristic parameter of this new access electrical appliance, now can will dynamically the characteristic parameter of this new electrical appliance be loaded into database, and the name of this electrical appliance of prompting input, so far whole identifying is complete.
In identifying, due to external interference, have certain false recognition rate.For the mistake identification of anti-locking system, even without new electrical appliance connecting system again, now system is still in real-time verification state.In this state, the work that system need to be done is: whether checking electrical appliance recognition result is correct, verification method is that characteristic information and the fuzzy comparison of real-time information by after recognition result stack, obtain recognition result, if recognition result is incorrect, recognition result is removed, all electrical appliances are identified again, proceed to the above-mentioned first stage, if correct, continue to process; Then, by real time data, upgraded the weights of database feature parameter, so that system more has Localization characteristic, the process of characteristic parameter weights in new database more, actual is the maximized process of recognition result score value that makes correct electrical appliance; Finally, send electrical appliance data to computer and home client.
Table 4 electrical appliance energy consumption record queries signal table
As shown in table 4, after electrical appliance is identified successfully, can record corresponding energy consumption, wherein the query note form of electrical appliance energy consumption is: single accumulative total service time of electrical appliance title, electrical appliance usage time interval, electrical appliance, the power of electrical appliance, the energy consumption of electrical appliance etc., and can generate corresponding day statistics, month statistics, year statistics etc.And can carry out Power Limitation for corresponding electrical appliance, if exceed restriction, can implement power down process.
Electrical appliance is closed identifying and electrical appliance, and to open identifying similar, just do not do too much and endure and state here.
Carbon metering module main control microprocessor type selecting is ARM CortexM3 core chip, and human-computer interaction module 2 adopts 3.2 cun of TFT touching liquid-crystal display screens.Home client provides monitoring accounting, inquiry service and the intelligent environment protection suggestion of the carbon emission value that home energy source is consumed.The one, household energy consumption is adjusted in monitoring, statistics carbon emission volume.Two are to provide real-time query service, can demonstrate in real time current carbon emission value and the carbon exchange rate.The 3rd, in conjunction with current carbon emission amount and relevant consumption information, carry out " intelligence " and analyze, thereby for user provides the suggestion of rationalization, avoid exceeding the quata to pay environmental protection fund at End Of Quarter because of carbon emission value.Home client is upgraded current carbon emission information by connecting Internet.It can be unified into network by internet and family's relevant device, and accessible database is inquired about carbon emission amount record in the past, and the current carbon emission information of real-time update reminds client to note reducing the life behavior of non-low-carbon (LC) in time.Because it only can provide the function of data query to user, and bottom is invisible for client, so can effectively avoid the behavior of malicious sabotage carbon metering.
Although content of the present invention has been done detailed introduction by above-mentioned preferred embodiment, will be appreciated that above-mentioned description should not be restriction of the present invention.Those skilled in the art has read after foregoing, for multiple modification of the present invention with to substitute be apparent.Therefore, protection scope of the present invention should have appending claims to limit.

Claims (5)

1. electrical appliance recognition, is specially:
(1) from the current current characteristic parameter value of current draw of home dwelling electric wire house lead in end, described current characteristic parameter value comprises electrical appliance active power;
(2) judge whether current power and the last power constantly that detects change, if power is constant, front one-time detection recognition result is constantly current recognition result, finishes; If the increase of output power, shows to have new electrical equipment to be used, enter step (3); If power reduction, showing has electrical appliance to stop using, and enters step (6);
(3) current current characteristic parameter value and last detection current characteristic parameter value constantly is poor, obtain newly increasing electric current characteristic ginseng value;
(4) by newly increasing electric current characteristic ginseng value, mate with the reference current characteristic ginseng value of each electrical equipment that may use respectively, if Optimum Matching result meets minimum the match is successful requirement, electrical equipment corresponding to Optimum Matching result is the electrical equipment newly increasing, the last electrical equipment that detects identification constantly adds the electrical equipment of new use as current recognition result, finishes; Otherwise the electrical equipment that may use combines each, the reference current characteristic ginseng value of the electrical equipment in each combination is done and, enter step (5);
(5) by newly increasing electric current characteristic ginseng value, mate with the reference current characteristic ginseng value sum of each combination respectively, if Optimum Matching result meets minimum the match is successful requirement, electrical equipment combination corresponding to Optimum Matching result is the electrical equipment of new use, the last electrical equipment that detects identification constantly adds the electrical equipment of new use as current recognition result, finishes; Otherwise recognition failures, finishes;
(6) current current characteristic parameter value and last detection current characteristic parameter value constantly is poor, obtain stopping using electric current characteristic ginseng value;
(7) will stop using electric current characteristic ginseng value to mate with the reference current characteristic ginseng value of each electrical equipment that may use respectively, if Optimum Matching result meets minimum the match is successful requirement, electrical equipment corresponding to Optimum Matching result is withdraw from service electrical equipment, the last electrical equipment that detects identification is constantly removed withdraw from service electrical equipment as current recognition result, finishes; Otherwise the electrical equipment that may use combines each, the reference current characteristic ginseng value of the electrical equipment in each combination is done and, enter step (8);
(8) will stop using electric current characteristic ginseng value to mate with the reference current characteristic ginseng value sum of each combination respectively, if Optimum Matching result meets minimum the match is successful requirement, electrical equipment combination corresponding to Optimum Matching result is withdraw from service electrical equipment, the last electrical equipment that detects identification is constantly removed withdraw from service electrical equipment as current recognition result, finishes.
2. electrical appliance recognition according to claim 1, it is characterized in that, also current recognition result is verified in the following manner: the reference current characteristic ginseng value of each electrical equipment in current recognition result is done and, itself and the current current characteristic parameter value extracting are compared, if comparative result meets successfully requirement of minimum identification, identify successfully, otherwise recognition failures.
3. electrical appliance recognition according to claim 1, it is characterized in that, described current characteristic parameter value also comprises or combination in current peak, electric current average, current effective value, current first harmonics, current harmonics amplitude, current harmonics phase place, current harmonics length.
4. electrical appliance recognition according to claim 3, it is characterized in that, employing is related to that based on error linguistic variable scoring method characterizes the matching degree of the reference current characteristic ginseng value of each current characteristic parameter value and electrical equipment, again the score value of each current characteristic parameter value is weighted to summation, obtains the matching result of current current characteristic parameter value and this electrical equipment.
5. electrical appliance recognition according to claim 1, is characterized in that, the electrical equipment that may use combines from less to more according to quantity each.
CN201110101398.4A 2011-04-22 2011-04-22 Electrical appliance recognition method and household user carbon emission metering system applying same CN102279326B (en)

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