CN102087319B - Method and system for identifying electricity usage behavior of electric appliance on loop - Google Patents
Method and system for identifying electricity usage behavior of electric appliance on loop Download PDFInfo
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- CN102087319B CN102087319B CN 200910251387 CN200910251387A CN102087319B CN 102087319 B CN102087319 B CN 102087319B CN 200910251387 CN200910251387 CN 200910251387 CN 200910251387 A CN200910251387 A CN 200910251387A CN 102087319 B CN102087319 B CN 102087319B
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Abstract
The present invention provides a method for identifying electricity usage behaviors of electric appliances on a loop, and a system thereof. The method comprises the steps as follows: when a variation of single electricity consumption information of the loop is greater than a threshold value, a current value of the electricity consumption information is taken as a loop main characteristic value of the loop, and whether an approximate combination characteristic value approaching the loop main characteristic value exists in a behavior characteristic mapping table is determined; if no, the loop main characteristic value of the new electricity usage behavior is obtained according to variation of value of the electricity consumption information, in order to reestablish the behavior characteristic mapping table; and after the approximate combination characteristic value is obtained from the reestablished behavior characteristic mapping table again, the current electricity usage behaviors of the electric appliances on the loop can be determined according to an electricity usage behavior combination corresponding to the approximate combination characteristic value.
Description
Technical field
The present invention relates to a kind of method that obtains power information, and be particularly related to a kind of take the loop method and system as unit identification electric appliance behavior.
Background technology
Along with the day by day shortage of oil, electric power and other natural resourcess, the idea of environmental protection and energy savings also comes into one's own gradually.According to statistics, the energy that 39 percent left and right is approximately arranged is to use on the mankind's living environment, therefore, increasing buildings is brought into use the intelligent meter (Smart Meter) that possesses energy computation management and control ability, so that the every power information in user's living environment to be provided immediately.
In general, be to understand the power consumption situation of various electrical equipment in buildings or equipment, the most direct mode be on each electric equipment installing as the measuring equipment as panel type meter.In addition, collect the electricity consumption situation of each electrical equipment and analyzed if need, radio frequency (Radio Frequency need to be installed on electrical equipment or panel type meter, RF) communication element or power line communication (Power Line Communication, PLC) element is analyzed to pass power information back the rear end platform through communication element.But what be not difficult to infer is that when the electrical equipment quantity of needs measurement was too much, installation measuring equipment and communication element not only needed to expend considerable manpower on each electrical equipment, also need very expensive cost.
On the other hand, for having the electrical equipment of electric power metering device in part on the market, although can obtain the power information of itself, expensive meeting causes the displacement high cost.Unless moreover the electrical equipment in environment is done comprehensive replacing, otherwise still must obtain its power information through the mode of plug-in measuring equipment and communication element for old electrical equipment.
Summary of the invention
The invention provides a kind of method of identifying electric appliance behavior on the loop, can be take the loop electricity consumption behavior of unit identification electrical equipment.
The invention provides a kind of system that identifies electric appliance behavior on the loop, set up eigenwert according to single kind of power consumption information, identify according to this electricity consumption behavior of electrical equipment on the loop.
The present invention proposes a kind of method of identifying electric appliance behavior on the loop, the method is when the variable quantity of the single kind of power consumption information in loop during greater than threshold value, with the current value of the power consumption information loop dominant eigenvalue as the loop, and whether judgement exists the approximate combination eigenwert near the loop dominant eigenvalue in the corresponding table of behavior feature.If not, obtain loop dominant eigenvalue corresponding to new electricity consumption behavior according to the variation of the numerical value of power consumption information on the loop, and the loop dominant eigenvalue of the new electricity consumption behavior that obtains of utilization rebuilds the corresponding table of behavioural characteristic, and at least one assemblage characteristic value of producing of record with corresponding at least one electricity consumption behavior combination in the corresponding table of behavioural characteristic.Then obtain the approximate combination eigenwert near the loop dominant eigenvalue in loop in the combinations thereof eigenwert, with the present electric appliance behavior according to the corresponding electricity consumption behavior combination judgement of approximate combination eigenwert loop.
In one embodiment of this invention, after wherein whether having the step of approximate combination eigenwert in judging the corresponding table of behavioural characteristic, if there is approximate combination eigenwert, according to the present electric appliance behavior that is similar to the corresponding electricity consumption behavior combination judgement of combination eigenwert loop.
In one embodiment of this invention, wherein judge the step that whether has approximate combination eigenwert in the corresponding table of behavior feature, when comprising the assemblage characteristic value of gap in a particular range that record and the loop dominant eigenvalue in loop is arranged when the corresponding table of behavioural characteristic, judge that approximate combination eigenwert exists.
In one embodiment of this invention, the step that wherein obtains the loop dominant eigenvalue of new electricity consumption behavior according to the variation of the numerical value of power consumption information comprises the variation according to the numerical value of power consumption information, obtain continuous appearance and in twos between a plurality of numerical value of difference in a range of stability.Add up above-mentioned numerical value with acquisition stable state statistical value, and subtract each other the previous numerical value of power consumption information on stable state statistical value and loop, to produce the loop dominant eigenvalue of new electricity consumption behavior.
In one embodiment of this invention, wherein utilize the loop dominant eigenvalue of new electricity consumption behavior to rebuild the corresponding table of behavioural characteristic, and record the combinations thereof eigenwert and comprise in the step of the corresponding table of behavioural characteristic with corresponding above-mentioned electricity consumption behavior combination: the behavior kind that defines new electricity consumption behavior.If the corresponding table record of behavioural characteristic has at least one existing electricity consumption behavior combination, the new electricity consumption behavior of permutation and combination and above-mentioned existing electricity consumption behavior combination are to produce new electricity consumption behavior combination.For each in above-mentioned electricity consumption behavior combination, with the summation of the corresponding loop of the electricity consumption behavior dominant eigenvalue wherein assemblage characteristic value as correspondence.
In one embodiment of this invention, this method of identifying electric appliance behavior on the loop also is included in when behavioural characteristic is corresponding to be shown not record any existing electricity consumption behavior combination, be the first stroke electricity consumption behavior combination in the corresponding table of behavioural characteristic with new electricity consumption behavior is newly-increased, and with the assemblage characteristic value of new electricity consumption behavior corresponding loop dominant eigenvalue as this electricity consumption behavior combination.
In one embodiment of this invention, wherein when the variable quantity of the power consumption information in loop during greater than threshold value, also comprise that as the step of the loop dominant eigenvalue in loop required time that the numerical value change that obtains power consumption information on the loop tends towards stability is as the auxiliary eigenwert in the loop in loop with the current value of power consumption information.And comprise also that according to the step that the variation of the numerical value of power consumption information on the loop obtains the loop dominant eigenvalue of new electricity consumption behavior required time that the numerical value change that obtains power consumption information on the loop tends towards stability is as the auxiliary eigenwert in loop of new electricity consumption behavior.
In one embodiment of this invention, wherein utilize the step of the corresponding table of loop dominant eigenvalue reconstruction behavioural characteristic of new electricity consumption behavior also to be included in the corresponding relation that records the auxiliary eigenwert in loop of new electricity consumption behavior and new electricity consumption behavior in a corresponding table of time feature.
In one embodiment of this invention, wherein judge that according to the corresponding electricity consumption behavior combination of approximate combination eigenwert the step of the present electric appliance behavior in loop comprises whether the approximate combination of judgement eigenwert is unique.If judge that present electric appliance behavior meets the corresponding electricity consumption behavior combination of approximate combination eigenwert.
In one embodiment of this invention, if approximate combination eigenwert is not unique, the last time electric appliance behavior of comparison loop and all approximate corresponding electricity consumption behavior combinations of eigenwerts that makes up is to judge present electric appliance behavior.
In one embodiment of this invention, if wherein approximate combination eigenwert is not unique, the corresponding electricity consumption behavior combination of the last time electric appliance behavior of comparison loop and all approximate combination eigenwerts, or compare again the auxiliary eigenwert in loop table corresponding to temporal characteristics, to judge present electric appliance behavior.
In one embodiment of this invention, this method of identifying electric appliance behavior on the loop also comprises each for the multiple electricity consumption behavior of a plurality of existing electrical equipment on the loop, collect the variation of existing electrical equipment numerical value of power consumption information under the electricity consumption behavior, to obtain the auxiliary eigenwert of electricity consumption behavior corresponding loop dominant eigenvalue and loop.Each electricity consumption behavior of each existing electrical equipment of permutation and combination is to produce a plurality of existing electricity consumption behavior combinations.For each in above-mentioned existing electricity consumption behavior combination, add up the wherein corresponding loop of each electricity consumption behavior dominant eigenvalue, with as the corresponding existing assemblage characteristic value of existing electricity consumption behavior combination.Record above-mentioned existing electricity consumption behavior combination with indivedual corresponding existing assemblage characteristic values in the corresponding table of behavioural characteristic.And record the auxiliary eigenwert in each electricity consumption behavior loop corresponding with it of each existing electrical equipment in the corresponding table of temporal characteristics.
In one embodiment of this invention, wherein power consumption information comprises power, voltampere, volt, watt-hour, the electricity consumption number of degrees, fictitious power, and electric current one of them.
From another viewpoint, the present invention proposes a kind of system that identifies electric appliance behavior on the loop, comprises that the corresponding table of power consumption information sensor, behavioural characteristic sets up module and identification module.Power consumption information sensor is in order to the numerical value of single kind of power consumption information detecting the loop.The corresponding table of behavioural characteristic is set up module in order to provide behavioural characteristic corresponding table.Identification module couples power consumption information sensor and the corresponding table of behavioural characteristic is set up module, when the variable quantity of the power consumption information in loop during greater than threshold value, identification module is with the current value of the power consumption information loop dominant eigenvalue as the loop, and whether judgement exists the approximate combination eigenwert near above-mentioned loop dominant eigenvalue in the corresponding table of behavior feature.If not, identification module is obtained the loop dominant eigenvalue of corresponding new electricity consumption behavior according to the variation of the numerical value of power consumption information on the loop, and the loop dominant eigenvalue that the corresponding table of notice behavioural characteristic is set up the new electricity consumption behavior of module utilization rebuilds the corresponding table of behavioural characteristic, and at least one assemblage characteristic value of producing of record with corresponding at least one electricity consumption behavior combination in the corresponding table of behavioural characteristic.Identification module is obtained the approximate combination eigenwert near the loop dominant eigenvalue in loop in the combinations thereof eigenwert, and judges the present electric appliance behavior in loop according to the corresponding electricity consumption behavior combination of approximate combination eigenwert.
In one embodiment of this invention, if wherein there is the approximate combination eigenwert near the loop dominant eigenvalue in loop in the corresponding table of behavior feature, identification module is according to the present electric appliance behavior in the corresponding electricity consumption behavior combination judgement of approximate combination eigenwert loop.
In one embodiment of this invention, wherein identification module record and the loop dominant eigenvalue in loop arranged at the corresponding table of behavior feature the assemblage characteristic value of gap in a particular range time, judge that approximate combination eigenwert exists.
In one embodiment of this invention, wherein identification module is according to the variation of the numerical value of power consumption information, obtain continuous appearance and in twos between a plurality of numerical value of difference in a range of stability, add up above-mentioned numerical value obtaining the stable state statistical value, and subtract each other the loop dominant eigenvalue that the previous numerical value of power consumption information on stable state statistical value and loop is used as new electricity consumption behavior.
In one embodiment of this invention, wherein the corresponding table of behavioural characteristic is set up module and is obtained the behavior kind that defines in response to new electricity consumption behavior.If the corresponding table record of behavioural characteristic has at least one existing electricity consumption behavior combination, the corresponding table of behavioural characteristic is set up the new electricity consumption behavior of module permutation and combination and above-mentioned existing electricity consumption behavior combination, to produce new electricity consumption behavior combination.And for each in above-mentioned electricity consumption behavior combination, with the summation of the corresponding loop of the electricity consumption behavior dominant eigenvalue wherein assemblage characteristic value as correspondence.
In one embodiment of this invention, wherein the corresponding table of behavioural characteristic is set up module when the corresponding table of behavior feature does not record any existing electricity consumption behavior combination, be the first stroke electricity consumption behavior combination in the corresponding table of behavioural characteristic with new electricity consumption behavior is newly-increased, and with the assemblage characteristic value of new electricity consumption behavior corresponding loop dominant eigenvalue as the electricity consumption behavior combination.
In one embodiment of this invention, wherein when the variable quantity of the power consumption information in loop during greater than threshold value, identification module is obtained required time that the numerical value change of power consumption information on the loop tends towards stability as the auxiliary eigenwert in the loop in loop.And when the variation of the numerical value of power consumption information obtained the loop dominant eigenvalue of new electricity consumption behavior on the foundation loop, identification module was separately obtained required time that the numerical value change of power consumption information on the loop tends towards stability as the auxiliary eigenwert in loop of new electricity consumption behavior.
In one embodiment of this invention, on the identification loop, the system of electric appliance behavior comprises that also the corresponding table of the temporal characteristics that couples identification module sets up module.The corresponding table of temporal characteristics is set up module new electricity consumption behavior and the corresponding relation of its auxiliary eigenwert in loop is recorded in the corresponding table of temporal characteristics.
In one embodiment of this invention, wherein whether the approximate combination of identification module judgement eigenwert is unique.If judge that present electric appliance behavior meets the corresponding electricity consumption behavior combination of approximate combination eigenwert.
In one embodiment of this invention, identification module is when the approximate combination of judgement eigenwert is not unique, and the last time electric appliance behavior of comparison loop and the corresponding electricity consumption behavior combination of all approximate combination eigenwerts are to judge present electric appliance behavior.
In one embodiment of this invention, wherein identification module is when the approximate combination of judgement eigenwert is not unique, the last time electric appliance behavior of comparison loop and the corresponding electricity consumption behavior combination of all approximate combination eigenwerts, or the auxiliary eigenwert in the loop of comparing again loop table corresponding to temporal characteristics, to judge present electric appliance behavior.
In one embodiment of this invention, wherein the corresponding table of behavioural characteristic is set up module for each of the multiple electricity consumption behavior of a plurality of existing electrical equipment on the loop, collects the loop dominant eigenvalue of the new electricity consumption behavior that obtains according to the variation of existing electrical equipment numerical value of power consumption information under the electricity consumption behavior.Each electricity consumption behavior of each existing electrical equipment of permutation and combination is to produce a plurality of existing electricity consumption behavior combinations, and for each in above-mentioned existing electricity consumption behavior combination, add up the wherein corresponding loop of each electricity consumption behavior dominant eigenvalue, with as the corresponding existing assemblage characteristic value of existing electricity consumption behavior combination, and with above-mentioned existing electricity consumption behavior combination with indivedual corresponding existing assemblage characteristic value records in the corresponding table of behavioural characteristic.
In one embodiment of this invention, wherein the corresponding table of temporal characteristics is set up module for each of the above-mentioned electricity consumption behavior of above-mentioned existing electrical equipment, collect the auxiliary eigenwert in loop of the new electricity consumption behavior that obtains according to the variation of existing electrical equipment numerical value of power consumption information under the electricity consumption behavior, and record each electricity consumption behavior loop auxiliary eigenwert corresponding with it of each existing electrical equipment in the corresponding table of temporal characteristics.
In one embodiment of this invention, on the identification loop, the system of electric appliance behavior also comprises and couples identification module output unit as a result, in order to show present electric appliance behavior.
In one embodiment of this invention, wherein power consumption information comprises power, voltampere, volt, watt-hour, the electricity consumption number of degrees, fictitious power, and electric current one of them.
In one embodiment of this invention, wherein power consumption information sensor comprises ammeter, kilowatt meter, watthour meter, and the power measurement meter one of them.
Based on above-mentioned, the present invention sets the feature of various electric appliance behaviors according to the variation of the numerical value of single kind of power consumption information, and then defines the eigenwert of multiple electricity consumption behavior combination.Accordingly, after the numerical value change of the present power consumption information in foundation loop obtains the loopback diagnostic value, only need loopback diagnostic value and the electricity consumption behavior combination eigenwert of previous definition are compared, just can judge the electricity consumption behavior of each electrical equipment on the loop.Additionally setting up on each electrical equipment under the prerequisite of measuring equipment not needing, can significantly reduce the cost of identification electric appliance behavior.
For above-mentioned feature and advantage of the present invention can be become apparent, the below is especially exemplified by embodiment, and the cooperation accompanying drawing is described in detail below.
Description of drawings
Fig. 1 is the calcspar of the system of electric appliance behavior on the identification loop of one embodiment of the invention.
Fig. 2 is the process flow diagram of the method for electric appliance behavior on the identification loop of one embodiment of the invention.
Fig. 3 A, 3B are the schematic diagram of the corresponding table of behavioural characteristic of one embodiment of the invention.
Fig. 4 is the process flow diagram of the present electric appliance behavior of the approximate combination of foundation eigenwert judgement of one embodiment of the invention.
The main element symbol description:
100: electricity consumption behavior recognition system; 110: power consumption information sensor;
120: the corresponding table of behavioural characteristic is set up module; 130: the corresponding table of temporal characteristics is set up module;
140: identification module; 150: output unit as a result;
300: the corresponding table of behavioural characteristic;
210～260: each step of the method for electric appliance behavior on the described identification of one embodiment of the invention loop;
410～430: each step of the present electric appliance behavior of the approximate combination of the described foundation of one embodiment of the invention eigenwert judgement.
Embodiment
Fig. 1 is the calcspar of the system of electric appliance behavior on the identification loop of one embodiment of the invention.See also Fig. 1, electricity consumption behavior recognition system 100 comprises that the corresponding table of power consumption information sensor 110, behavioural characteristic is set up module 120, the corresponding table of temporal characteristics is set up module 130, identification module 140, and output unit 150 as a result.
Power consumption information sensor 110 is in order to the numerical value of single kind of power consumption information detecting the loop.That is power consumption information sensor 110 only need possess the ability of a kind of power consumption information of detecting.Power consumption information sensor 110 can be ammeter, kilowatt meter, watthour meter, or the power measurement meter etc.Power consumption information is for example power, voltampere, volt, watt-hour, the electricity consumption number of degrees, fictitious power, or electric current etc.Power consumption information sensor 110 is placed on the power consumption information value part that can obtain whole loop.For example, when the electric appliance behavior of needs detecting home environment, just power consumption information sensor 110 can be held in place the electric power dish of family.
The corresponding table of behavioural characteristic is set up module 120 provides the behavioural characteristic of setting up corresponding table.The corresponding table of behavioural characteristic is the corresponding relation that records electricity consumption behavior combination and assemblage characteristic value.Before electricity consumption behavior recognition system 100 not yet came into operation, the corresponding table of behavioural characteristic was set up the content that module 120 just can produce the corresponding table of behavioural characteristic in advance.In detail, the corresponding table of behavioural characteristic is set up module 120 for every kind of electricity consumption behavior of each existing electrical equipment on the loop, collect the variation of each existing electrical equipment numerical value of power consumption information under each electricity consumption behavior, and distinguish corresponding loop dominant eigenvalue according to each electricity consumption behavior that the variation of the numerical value of power consumption information just can obtain each existing electrical equipment.The variation of the numerical value of for example, power consumption information can be divided into by various statisticals numerical stability and unstable two parts.And in the present embodiment, each electricity consumption behavior of each existing electrical equipment respectively corresponding loop dominant eigenvalue be the statistical value that is classified as all numerical value of stable part, statistical value can see through modes such as asking for arithmetical mean, normality distribution or mode and obtain, and is not limited at this.
Next, after all the electricity consumption behavior permutation and combination with all existing electrical equipment, just can produce a plurality of existing electricity consumption behavior combinations.And for each existing electricity consumption behavior combination, the corresponding table of behavioural characteristic is set up module 120 and will be added up the wherein corresponding loop of each electricity consumption behavior dominant eigenvalue, produces according to this corresponding existing assemblage characteristic value of each existing electricity consumption behavior combination.At last, the corresponding table of behavioural characteristic set up module 120 with each existing electricity consumption behavior combination with corresponding individually existing assemblage characteristic value records in the corresponding table of behavior feature.
Suppose to have on the loop i existing electrical equipment, the present embodiment can following formula represents the quantity N of all electricity consumption behavior combinations so, and the corresponding assemblage characteristic value of any electricity consumption behavior combination X:
Wherein, Si represents the electricity consumption behavior that existing electrical equipment i may occur, and Pi represents the existing loop dominant eigenvalue of electrical equipment i under the defined electricity consumption behavior of this electricity consumption behavior combination of X.
What must specify is, except can first set up the corresponding table of behavioural characteristic before electricity consumption behavior recognition system 100 comes into operation, when electricity consumption behavior recognition system 100 is under operating state, the corresponding table of behavioural characteristic is set up the also content of the corresponding table of regeneration behavior feature immediately of module 120, and detailed update mode is chatted after holding again.
The corresponding table of temporal characteristics is set up module 130 can provide the temporal characteristics of setting up corresponding table, is used for recording the corresponding relation of various electricity consumption behaviors and an eigenwert.Before electricity consumption behavior recognition system 100 not yet comes into operation, the corresponding table of temporal characteristics is set up module 130 can be for the various electricity consumption behaviors of all existing electrical equipment on the loop, collect the variation of each existing electrical equipment numerical value of power consumption information under each electricity consumption behavior, obtain according to this auxiliary eigenwert in corresponding loop of each electricity consumption behavior of each existing electrical equipment.In the present embodiment, an existing electrical equipment is under an electricity consumption behavior, and the required time that the numerical value change of its power consumption information tends towards stability just can be regarded as the auxiliary eigenwert in loop of this electricity consumption behavior.The corresponding table of temporal characteristics is set up module 130 will in the corresponding table of temporal characteristics, record each electricity consumption behavior of each existing electrical equipment loop auxiliary eigenwert corresponding with it on the loop.Similarly, in the process of electricity consumption behavior recognition system 100 running, the corresponding table of temporal characteristics is set up the also content of the corresponding table of new temporal characteristics immediately of module 130, chats after the time point of renewal and mode are held again.
Electricity consumption behavior recognition system 100 is to judge take the loop as unit, does not need extra installing measuring equipment on each electrical equipment in loop.Can not only avoid installing accordingly the cost of measuring equipment, also because only need single kind of power consumption information just can carry out identification, reduce computation complexity significantly to promote identification efficient thereby see through.
Below will describe the detailed operation workflow of electricity consumption behavior recognition system 100 with another embodiment.Fig. 2 is the process flow diagram of the method for electric appliance behavior on the identification loop of one embodiment of the invention, please consults simultaneously Fig. 1 and Fig. 2.
After electricity consumption behavior recognition system 100 came into operation, power consumption information sensor 110 is the numerical value of the single kind of power consumption information in (or take special time as the interval) detecting loop just sustainably.As shown in step 210, when the variable quantity of the power consumption information in loop during greater than threshold value, identification module 140 is with the current value of the power consumption information loop dominant eigenvalue as the loop.In the present embodiment, threshold value can be the user and sets up on their own, or the minimal difference of each electrical equipment power consumption quantity of information measured value on the loop.
In addition, identification module 140 also can be obtained the required time that the numerical value change of power consumption information on the loop tends towards stability, with as the auxiliary eigenwert in the loop in loop.In detail, on the loop, the variation of the numerical value of power consumption information can be divided into by statistical stable and unstable two parts, and the auxiliary eigenwert in loop is the unsettled time of numerical value.That is the numerical value of power consumption information needs just can tend towards stability after during this period of time.
After obtaining two kinds of eigenwerts that represent present loop state, then as shown in step 220, whether identification module 140 judgements exist the approximate combination eigenwert near the loop dominant eigenvalue in loop in the corresponding table of behavior feature.Specifically, each assemblage characteristic value that identification module 140 can record the loop dominant eigenvalue in loop table corresponding to behavioural characteristic is made comparisons, and when having assemblage characteristic value in a particular range of the gap that records with the loop dominant eigenvalue in loop only in the corresponding table of behavior feature, identification module 140 is just judged to exist to be similar in the corresponding table of behavior feature and is made up eigenwert.
If can't obtain approximate combination eigenwert from the corresponding table of behavior feature, the corresponding table of expression behavioural characteristic may not yet record any information, though or have data to exist the difference of the loop dominant eigenvalue in every assemblage characteristic value in table and loop all to surpass above-mentioned particular range.This moment, identification module 140 was obtained the loop dominant eigenvalue of a corresponding new electricity consumption behavior according to the variation of the numerical value of power consumption information on the loop as shown in step 230.In the present embodiment, identification module 140 is at first according to by the variation of power consumption information sensor 110 numerical value of power consumption information on the loop that detect, obtain continuous appearance and in twos between a plurality of numerical value of difference in a range of stability.The generation of above-mentioned numerical value can obtain by calculating or other statistical methods of variance.Then, the numerical value that identification module 140 statistics obtain to be obtaining a stable state statistical value, and statistical be for example calculate arithmetical mean, normality is distributed, or gets mode etc., do not limited at this.At last, identification module 140 subtracts each other the previous numerical value of power consumption information on stable state statistical value and loop, and with the loop dominant eigenvalue of difference as new electricity consumption behavior.
In addition, identification module 140 also can be obtained the required time that the numerical value change of power consumption information tends towards stability, according to this as the auxiliary eigenwert in loop of new electricity consumption behavior.Because the mode of the auxiliary eigenwert in loop that obtains new electricity consumption behavior is same or similar with the mode of the auxiliary eigenwert in loop that obtains the loop, therefore do not repeat them here.
Then in step 240, the corresponding table of identification module 140 notice behavioural characteristics is set up module profit 120 and is utilized the loop dominant eigenvalue of new electricity consumption behavior to rebuild the corresponding table of behavioural characteristic, and at least one assemblage characteristic value that produces will rebuild the time is recorded in the corresponding table of behavioural characteristic with corresponding at least one electricity consumption behavior combination.Below the detailed step of the corresponding table of behavioural characteristic is rebuild in explanation.
At first, the corresponding table of behavioural characteristic is set up module 120 and is obtained the behavior kind that defines in response to new electricity consumption behavior.The behavior kind can be provided by the user, is for example title and the state of electrical equipment, and caing be compared to similarly is " electrical equipment A is strong ", " electrical equipment A is weak ", or " electrical equipment B leaves " etc.Yet the form of above-mentioned behavior kind is only the example of enumerating in order to illustrate, the present invention is not as limit.
Then, the corresponding table of behavioural characteristic is set up module 120 and judge whether the corresponding table of behavioural characteristic not yet records any information (for example having electricity consumption behavior combination and existing assemblage characteristic value now).If, the corresponding table of behavioural characteristic set up module 120 directly new electricity consumption behavior is increased new for the first stroke electricity consumption behavior combination in corresponding table (that is, this electricity consumption behavior combination includes only a kind of electricity consumption behavior), and with the assemblage characteristic value of new electricity consumption behavior corresponding loop dominant eigenvalue as this electricity consumption behavior combination, and be recorded in the corresponding table of behavioural characteristic.
If the corresponding table of behavioural characteristic has recorded at least one existing electricity consumption behavior combination, the corresponding table of behavioural characteristic is set up the module 120 new electricity consumption behaviors of permutation and combination and each existing electricity consumption behavior combination so, and then produces a plurality of new electricity consumption behavior combinations.In addition, the corresponding table of behavioural characteristic is set up module 120 for the electricity consumption behavior combination of each new generation, is used as the assemblage characteristic value of electricity consumption behavior combination with the summation of the loop dominant eigenvalue of the indivedual correspondences of each electricity consumption behavior institute wherein.
Fig. 3 A, 3B are the schematic diagram of the corresponding table of behavioural characteristic of one embodiment of the invention.Take Fig. 3 A as example, suppose that the corresponding table 300 of behavioural characteristic has now recorded the corresponding data of 6 electricity consumption behavior combinations and assemblage characteristic value, and these 6 data are to set up according to existing electrical equipment A and electrical equipment B on the loop to form.Wherein, the power consumption information of supposing the present embodiment is power, and that electrical equipment A has is strong, weak, close these three kinds of electricity consumption behaviors (representing with " A is strong ", " A is weak ", " A pass "), and each electricity consumption behavior corresponding loop dominant eigenvalue be 35 watts (watt), 25 watts, 0 watt.And electrical equipment B has these two kinds of electricity consumption behaviors of open and close (representing with " B opens ", " B pass "), and corresponding loop dominant eigenvalue is 125 watts and 0 watt respectively.After a new electrical equipment C adds entry loop and is activated, will cause the variable quantity of the power consumption information in loop to surpass threshold value.The behavior kind of supposing new electricity consumption behavior is defined as " C opens " (it has corresponding electricity consumption behavior " C pass "), and the loop dominant eigenvalue of electricity consumption behavior " C opens " is 210 watts, and the loop dominant eigenvalue of electricity consumption behavior " C pass " is 0 watt.The new electricity consumption behavior of permutation and combination " C opens " and original 6 existing electricity consumption behavior combinations, can produce 12 new electricity consumption behavior combinations (as shown in the electricity consumption behavior combination field of Fig. 3 B) so.The 4th the electricity consumption behavior combination that is recorded take Fig. 3 B is as example, the included electricity consumption behavior of this electricity consumption behavior combination is " A pass ", " B opens ", " C opens ", and the assemblage characteristic value of therefore corresponding this electricity consumption behavior combination is 335 watts (0+125+210).
In addition, identification module 140 also can notify the corresponding table of temporal characteristics to set up the content of the corresponding table of module feature 130 update time.The corresponding table of temporal characteristics is set up module 130 after obtaining the behavior kind that defines in response to new electricity consumption behavior, just can be in the newly-increased notes record of the corresponding table of temporal characteristics, to record the corresponding relation of new electricity consumption behavior and its auxiliary eigenwert in loop.
Next as shown in the step 250 of Fig. 2, identification module 140 is compared each the assemblage characteristic value in the loop dominant eigenvalue in loop table corresponding to behavioural characteristic, and then obtains the approximate combination eigenwert near the loop dominant eigenvalue in loop from the combinations thereof eigenwert.That is, obtain and the loop dominant eigenvalue in loop between gap all assemblage characteristic values in particular range.
As shown in step 260, identification module 140 judges the present electric appliance behavior in loop according to the corresponding electricity consumption behavior combination of approximate combination eigenwert at last.Fig. 4 is the process flow diagram of the present electric appliance behavior of the approximate combination of foundation eigenwert judgement of one embodiment of the invention.Below with Fig. 4, the detailed step of judgement is described.At first as shown in step 410, whether the identification module 140 approximate combination of judgement eigenwerts are unique.If as shown in step 420, the present electric appliance behavior of identification module 140 determination circuit meets the corresponding electricity consumption behavior combination of approximate combination eigenwert.
If yet approximate combination eigenwert is not unique, as shown in step 430, the corresponding electricity consumption behavior combination of the last time electric appliance behavior of identification module 140 comparison loop and all approximate combination eigenwerts, and the present electric appliance behavior of determination circuit is and the electricity consumption behavior combination of electric appliance behavior difference minimum last time.
In addition, when approximate combination eigenwert is not unique, identification module 140 also can first tranmittance more last time electric appliance behavior and the corresponding electricity consumption behavior combination of all approximate combination eigenwerts, and then filter out several less candidate's electricity consumption behavior combinations of difference.Then the more auxiliary eigenwert in the loop in loop table corresponding to temporal characteristics compared, and then further filter out the present electric appliance behavior in loop from candidate's electricity consumption behavior combination.
Then get back to the step 220 of Fig. 2, if identification module 140 can find the approximate combination eigenwert near the loop dominant eigenvalue in loop in the corresponding table of behavior feature, so directly as shown in step 260, identification module 140 is judged the present electric appliance behavior in loop according to the corresponding electricity consumption behavior combination of approximate combination eigenwert.Because the detailed step of judgement is narrated as above, therefore do not repeat them here.
On the identification loop after the electricity consumption behavior of each electrical equipment, can recognition result output be inspected for the user by output unit 150 as a result.As long as and record each identification result, just can judge further the front and back state variation of each electrical equipment on the loop, and then calculate the service time of electrical equipment, with as the reference of calculating electricity cost.
In the operation of electricity consumption behavior recognition system 100, if identification module 140 can't be obtained suitable reference data from the corresponding table of behavior feature, identification module 140 just can be notified the corresponding table of behavioural characteristic to set up module 120 and utilize the corresponding table of new information reformation behavioural characteristic so, and the corresponding table of notice temporal characteristics is set up the content of the corresponding table of module feature 130 update time.In other words, electricity consumption behavior recognition system 100 possesses the ability of Online Learning, can directly judge the electric appliance behavior on the loop, and might not spend the systematic learning time of setting up corresponding table in advance.
The present invention also provides a kind of computer program product, and it is in order to carry out the method for electric appliance behavior on above-mentioned identification loop.This computer program product is formed (for example setting program instruction fragment and deployment program instruction fragment etc.) by several programmed instruction fragments basically, after these programmed instruction fragments being written into computer system and carrying out, can complete each step of the method for electric appliance behavior on the aforementioned identification loop, and make computer system possess only to utilize a power consumption information sensor and the ability of each electric appliance behavior on the identification loop.
In sum, the above embodiment of the present invention is to set up the eigenwert of every kind of electricity consumption behavior of every kind of electrical equipment with the variation of single kind of power consumption information, thereby sets up the corresponding table of electricity consumption behavior combination and eigenwert.After the numerical value of the power consumption information in whole loop produces to a certain degree variation, can and see through the mode of tabling look-up according to the eigenwert in loop and judge present electric appliance behavior.Particularly belong to fixed electrical equipment and eigenwert gap to each other when larger when the electrical equipment on the loop more, can also produce recognition effect quite accurately.Moreover, due to the content of correspondence table can be when the System Operation immediate updating, therefore can exempt the time that systematic learning is built table.In addition, do not need additionally on each electrical equipment, measuring equipment to be installed, can significantly reduce manpower and money cost yet.
It should be noted that at last: above embodiment only in order to technical scheme of the present invention to be described, is not intended to limit; Although with reference to previous embodiment, the present invention is had been described in detail, those of ordinary skill in the art is to be understood that: it still can be modified to the technical scheme that aforementioned each embodiment puts down in writing, and perhaps part technical characterictic wherein is equal to replacement; And these modifications or replacement do not make the essence of appropriate technical solution break away from the spirit and scope of various embodiments of the present invention technical scheme.
Claims (19)
1. method of identifying electric appliance behavior on the loop, the method comprises:
When the variable quantity of the single kind of power consumption information in loop during greater than a threshold value, with a current value of this power consumption information loop dominant eigenvalue as this loop;
Whether judgement exists the approximate combination eigenwert near this loop dominant eigenvalue in the corresponding table of a behavior feature;
If not, obtain this loop dominant eigenvalue of a corresponding new electricity consumption behavior according to the variation of the numerical value of this power consumption information on this loop;
Utilize this loop dominant eigenvalue of this new electricity consumption behavior to rebuild the corresponding table of behavior feature, and at least one assemblage characteristic value of producing of record with corresponding at least one electricity consumption behavior combination in the corresponding table of behavior feature; And
Obtained in this at least one assemblage characteristic value near should being similar to of this loop dominant eigenvalue in this loop and made up eigenwert, should approximately make up with foundation the present electric appliance behavior that the corresponding electricity consumption behavior combination of eigenwert judges this loop.
2. the method for electric appliance behavior on identification according to claim 1 loop also comprises wherein whether have step of this approximate combination eigenwert in the corresponding table of behavior feature in judgement after:
If, according to should approximately making up this present electric appliance behavior that the corresponding electricity consumption behavior combination of eigenwert judges this loop.
3. the method for electric appliance behavior on identification according to claim 1 loop wherein judges in the corresponding table of behavior feature whether exist step of this approximate combination eigenwert to comprise:
During the assemblage characteristic value of the gap that record and this loop dominant eigenvalue in this loop is arranged when the corresponding table of behavior feature in a particular range, judge that exist should approximate combination eigenwert.
4. the method for electric appliance behavior on identification according to claim 1 loop wherein comprises according to the step that the variation of the numerical value of this power consumption information on this loop obtains this loop dominant eigenvalue of this new electricity consumption behavior:
According to the variation of the numerical value of this power consumption information, obtain continuous appearance and in twos between a plurality of numerical value of difference in a range of stability;
Add up described a plurality of numerical value to obtain a stable state statistical value; And
Subtract each other a previous numerical value of this power consumption information on this stable state statistical value and this loop and be used as this loop dominant eigenvalue of this new electricity consumption behavior.
5. the method for electric appliance behavior on identification according to claim 1 loop, wherein utilize this loop dominant eigenvalue of this new electricity consumption behavior to rebuild the corresponding table of behavior feature, and record this at least one assemblage characteristic value and comprise in the step of the corresponding table of behavior feature with corresponding this at least one electricity consumption behavior combination:
Define the behavior kind of this new electricity consumption behavior;
If the corresponding table record of behavior feature has at least one existing electricity consumption behavior combination, this new electricity consumption behavior of permutation and combination and this at least one existing electricity consumption behavior combination, to produce this at least one electricity consumption behavior combination, and for each in this at least one electricity consumption behavior combination, with the summation of corresponding this loop dominant eigenvalue of electricity consumption behavior wherein as to assemblage characteristic value that should the electricity consumption behavior combination; And
If the corresponding table of behavior feature does not record any existing electricity consumption behavior combination, newly-increased this new electricity consumption behavior is the first stroke electricity consumption behavior combination in the corresponding table of behavior feature, and with the assemblage characteristic value of this loop dominant eigenvalue corresponding to this new electricity consumption behavior as the first stroke electricity consumption behavior combination.
6. the method for electric appliance behavior on identification according to claim 5 loop, wherein when the variable quantity of this power consumption information in this loop during greater than this threshold value, also comprise with this current numerical value of this power consumption information step as this loop dominant eigenvalue in this loop:
Obtain required time that the numerical value change of this power consumption information on this loop tends towards stability as the auxiliary eigenwert in loop in this loop;
The step that obtains this loop dominant eigenvalue of this new electricity consumption behavior according to the variation of the numerical value of this power consumption information on this loop also comprises:
Obtain required time that the numerical value change of this power consumption information on this loop tends towards stability as the auxiliary eigenwert in this loop of this new electricity consumption behavior; And
Utilize the step of the corresponding table of this loop dominant eigenvalue reconstruction behavior feature of this new electricity consumption behavior also to comprise:
Record the corresponding relation of this auxiliary eigenwert in loop of this new electricity consumption behavior and this new electricity consumption behavior in a corresponding table of time feature.
7. the method for electric appliance behavior on identification according to claim 6 loop, wherein according to judging that the step of this present electric appliance behavior in this loop comprised by the corresponding electricity consumption behavior combination of approximate combination eigenwert:
Whether judgement should approximately be made up eigenwert unique;
If judge that this present electric appliance behavior meets the corresponding electricity consumption behavior combination of this approximate combination eigenwert; And
If not, one of this loop corresponding electricity consumption behavior combination of electric appliance behavior and all approximate combination eigenwerts last time relatively, judging this present electric appliance behavior, or compare again the auxiliary eigenwert in this loop table corresponding to this temporal characteristics in this loop, with this present electric appliance behavior of judgement.
8. the method for electric appliance behavior on identification according to claim 1 loop also comprises:
For the multiple electricity consumption behavior of a plurality of existing electrical equipment on this loop each, the variation of collecting this existing electrical equipment numerical value of this power consumption information under this electricity consumption behavior is to obtain corresponding this loop dominant eigenvalue of this electricity consumption behavior and the auxiliary eigenwert in a loop;
Described a plurality of electricity consumption behaviors of the described a plurality of existing electrical equipment of permutation and combination are to produce a plurality of existing electricity consumption behavior combinations;
For each in described a plurality of existing electricity consumption behavior combinations, add up wherein corresponding this loop dominant eigenvalue of each described a plurality of electricity consumption behaviors, with as having the assemblage characteristic value now by existing electricity consumption behavior combination corresponding;
Record described a plurality of existing electricity consumption behavior combination and have the assemblage characteristic value now in the corresponding table of behavior feature with indivedual corresponding being somebody's turn to do; And
Record each described a plurality of electricity consumption behaviors of described a plurality of existing electrical equipment and the corresponding auxiliary eigenwert in this loop in a corresponding table of time feature.
9. system that identifies electric appliance behavior on the loop comprises:
One power consumption information sensor, the numerical value of single kind of power consumption information in detecting one loop;
The corresponding table of one behavior feature is set up module, provides a behavior feature corresponding table; And
One identification module couples this power consumption information sensor and the corresponding table of behavior feature is set up module,
Wherein when the variable quantity of this power consumption information in this loop during greater than a threshold value, this identification module is with a current value of this power consumption information loop dominant eigenvalue as this loop, and whether judgement exists the approximate combination eigenwert near this loop dominant eigenvalue in the corresponding table of behavior feature;
If not, this identification module is obtained this loop dominant eigenvalue of a corresponding new electricity consumption behavior according to the variation of the numerical value of this power consumption information on this loop, and the corresponding table of notice behavior feature sets up module and utilizes this loop dominant eigenvalue of this new electricity consumption behavior to rebuild the corresponding table of behavior feature, and at least one assemblage characteristic value of producing of record with corresponding at least one electricity consumption behavior combination in the corresponding table of behavior feature;
This identification module was obtained in this at least one assemblage characteristic value near should being similar to of this loop dominant eigenvalue in this loop and was made up eigenwert, should approximately make up with foundation the present electric appliance behavior that the corresponding electricity consumption behavior combination of eigenwert judges this loop.
10. the system of electric appliance behavior on identification according to claim 9 loop, if wherein exist being somebody's turn to do of this loop dominant eigenvalue near this loop to be similar to the combination eigenwert in the corresponding table of behavior feature, this identification module is according to being similar to this present electric appliance behavior that the corresponding electricity consumption behavior combination of eigenwert judges this loop of making up.
11. the system of electric appliance behavior on identification according to claim 9 loop, wherein this identification module record and this loop dominant eigenvalue in this loop arranged at the corresponding table of behavior feature the assemblage characteristic value of gap in a particular range time, judge that exist should approximate combination eigenwert.
12. the system of electric appliance behavior on identification according to claim 9 loop, wherein this identification module is according to the variation of the numerical value of this power consumption information, obtain continuous appearance and in twos between a plurality of numerical value of difference in a range of stability, add up described a plurality of numerical value obtaining a stable state statistical value, and subtract each other this loop dominant eigenvalue that a previous numerical value of this power consumption information on this stable state statistical value and this loop is used as this new electricity consumption behavior.
13. the system of electric appliance behavior on identification according to claim 9 loop, wherein the corresponding table of behavior feature is set up module and is obtained the behavior kind that defines in response to this new electricity consumption behavior, if the corresponding table record of behavior feature has at least one existing electricity consumption behavior combination, the corresponding table of behavior feature is set up this new electricity consumption behavior of module permutation and combination and this at least one existing electricity consumption behavior combination, to produce this at least one electricity consumption behavior combination, and for each in this at least one electricity consumption behavior combination, with the summation of corresponding this loop dominant eigenvalue of electricity consumption behavior wherein as to assemblage characteristic value that should the electricity consumption behavior combination,
If the corresponding table of behavior feature does not record any existing electricity consumption behavior combination, it is the first stroke electricity consumption behavior combination in the corresponding table of behavior feature that the corresponding table of behavior feature is set up newly-increased this new electricity consumption behavior of module, and with the assemblage characteristic value of corresponding this loop dominant eigenvalue of this new electricity consumption behavior as the first stroke electricity consumption behavior combination.
14. the system of electric appliance behavior on identification according to claim 9 loop, wherein when the variable quantity of this power consumption information in this loop during greater than this threshold value, the required time that the numerical value change of this power consumption information on this loop of obtaining this identification module tends towards stability is as the auxiliary eigenwert in loop in this loop, and when the variation of the numerical value of this power consumption information obtains this loop dominant eigenvalue of this new electricity consumption behavior on according to this loop, separately obtain required time that the numerical value change of this power consumption information on this loop tends towards stability as the auxiliary eigenwert in this loop of this new electricity consumption behavior.
15. the system of electric appliance behavior on identification according to claim 14 loop also comprises:
The one corresponding table of time feature is set up module, couples this identification module, records the corresponding relation of this new electricity consumption behavior and this auxiliary eigenwert in loop of this new electricity consumption behavior in a corresponding table of time feature.
16. the system of electric appliance behavior on identification according to claim 15 loop, whether wherein approximate combination eigenwert is somebody's turn to do in this identification module judgement unique, if judge that this present electric appliance behavior meets the corresponding electricity consumption behavior combination of this approximate combination eigenwert
This identification module is when this approximate combination eigenwert of judgement is not unique, one of this loop corresponding electricity consumption behavior combination of electric appliance behavior and all approximate combination eigenwerts last time relatively, to judge this present electric appliance behavior, or the auxiliary eigenwert in this loop of comparing again this loop table corresponding to this temporal characteristics, to judge this present electric appliance behavior.
17. the system of electric appliance behavior on identification according to claim 15 loop, wherein the corresponding table of behavior feature is set up module for each of the multiple electricity consumption behavior of a plurality of existing electrical equipment on this loop, collect this loop dominant eigenvalue of this new electricity consumption behavior that obtained according to the variation of electrical equipment numerical value of this power consumption information under this electricity consumption behavior should be had now, described a plurality of electricity consumption behaviors of the described a plurality of existing electrical equipment of permutation and combination are to produce a plurality of existing electricity consumption behavior combinations, and for each in described a plurality of existing electricity consumption behavior combinations, add up wherein corresponding this loop dominant eigenvalue of each described a plurality of electricity consumption behaviors, to have the assemblage characteristic value now as having electricity consumption behavior combination corresponding now, and record described a plurality of existing electricity consumption behavior combination and corresponding should have assemblage characteristic values now in the corresponding table of behavior feature with indivedual,
The corresponding table of this temporal characteristics is set up module for each of described a plurality of electricity consumption behaviors of described a plurality of existing electrical equipment, collect the auxiliary eigenwert in this loop of this new electricity consumption behavior that obtained according to having the variation of electrical equipment numerical value of this power consumption information under this electricity consumption behavior now, and record each described a plurality of electricity consumption behaviors of described a plurality of existing electrical equipment and the corresponding auxiliary eigenwert in this loop in the corresponding table of this temporal characteristics.
18. the system of electric appliance behavior on identification according to claim 9 loop also comprises:
One output unit as a result couples this identification module, to show this present electric appliance behavior.
19. the system of electric appliance behavior on identification according to claim 9 loop, wherein this power consumption information comprises power, voltampere, volt, watt-hour, the electricity consumption number of degrees, fictitious power, and electric current one of them, and this power consumption information sensor comprises ammeter, kilowatt meter, watthour meter, and the power measurement meter one of them.
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| TWI443356B (en) * | 2012-09-14 | 2014-07-01 | Chunghwa Telecom Co Ltd | Detection system and method of abnormal operating states in an electrical appliance |
| KR102078652B1 (en) * | 2013-11-13 | 2020-02-19 | 삼성전자주식회사 | Apparatus and method for detecting event in a smart plug |
| CN104135407B (en) * | 2014-08-12 | 2018-12-07 | 中国联合网络通信集团有限公司 | Electrical equipment operational monitoring method, server and system |
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