CN102087319A - 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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- CN102087319A CN102087319A CN2009102513877A CN200910251387A CN102087319A CN 102087319 A CN102087319 A CN 102087319A CN 2009102513877 A CN2009102513877 A CN 2009102513877A CN 200910251387 A CN200910251387 A CN 200910251387A CN 102087319 A CN102087319 A CN 102087319A
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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 to be particularly related to a kind of be the method and system of unit identification electrical equipment electricity consumption behavior with the loop.
Background technology
Along with the shortage day by day 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, there is about 39 percent the energy to be to use on the mankind's living environment approximately, therefore, increasing buildings is brought into use the intelligent ammeter (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 the buildings or equipment, the most direct mode be on each electric equipment installing as the measuring equipment as the panel type meter.In addition, collect the electricity consumption situation of each electrical equipment and analyzed if need, then radio frequency (Radio Frequency need 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.
From another point of view, for having the electrical equipment of electric power metering device in the part on the market,, cost an arm and a leg and to cause the displacement cost too high though can obtain the power information of itself.Unless moreover the electrical equipment in the environment done comprehensive replacing, otherwise obtain its power information for the mode that old electrical equipment still must see through plug-in measuring equipment and communication element.
Summary of the invention
The invention provides a kind of method of discerning electrical equipment electricity consumption behavior on the loop, can be the electricity consumption behavior of unit identification electrical equipment with the loop.
The invention provides a kind of system that discerns electrical equipment electricity consumption behavior on the loop, set up eigenwert, discern the electricity consumption behavior of electrical equipment on the loop according to this according to single kind of power consumption information.
The present invention proposes a kind of method of discerning electrical equipment electricity consumption behavior on the loop, the method is when the single kind of power consumption change in information amount in loop during greater than threshold value, with the current numerical value of power consumption information loop dominant eigenvalue, and judge the approximate combination eigenwert that in behavior feature corresponding tables, whether exists near the loop dominant eigenvalue as the loop.If not, then 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 behavioural characteristic corresponding tables, and at least one assemblage characteristic value and corresponding at least one electricity consumption behavior that record is produced are combined in the behavioural characteristic corresponding tables.Then in the combinations thereof eigenwert, obtain approximate combination eigenwert, to judge the present electrical equipment electricity consumption behavior in loop according to the pairing electricity consumption behavior combination of approximate combination eigenwert near the loop dominant eigenvalue in loop.
In one embodiment of this invention, wherein in judging the behavioural characteristic corresponding tables, whether exist after the step of approximate combination eigenwert, if there is approximate combination eigenwert, then judge the present electrical equipment electricity consumption behavior in loop according to the pairing electricity consumption behavior combination of approximate combination eigenwert.
In one embodiment of this invention, wherein judge the step that in behavior feature corresponding tables, whether has approximate combination eigenwert, 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 behavioural characteristic corresponding tables, judge that approximate combination eigenwert exists.
In one embodiment of this invention, wherein the step that 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 the 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 behavioural characteristic corresponding tables, and the step that record combinations thereof eigenwert and corresponding above-mentioned electricity consumption behavior are combined in the behavioural characteristic corresponding tables comprise: the behavior kind that defines new electricity consumption behavior.If the behavioural characteristic corresponding tables records at least one existing electricity consumption behavior combination, then new electricity consumption behavior of permutation and combination and above-mentioned existing electricity consumption behavior combination is to produce new electricity consumption behavior combination.At in the above-mentioned electricity consumption behavior combination each, with the summation of the pairing loop of electricity consumption behavior dominant eigenvalue wherein assemblage characteristic value as correspondence.
In one embodiment of this invention, method of electrical equipment electricity consumption behavior also is included in the behavioural characteristic corresponding tables when not writing down any existing electricity consumption behavior combination on this identification loop, be the combination of the first stroke electricity consumption behavior in the behavioural characteristic corresponding tables with new electricity consumption behavior is newly-increased, and with the assemblage characteristic value of the pairing loop of new electricity consumption behavior dominant eigenvalue as this electricity consumption behavior combination.
In one embodiment of this invention, wherein when the power consumption change in information amount in loop during, comprise also 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 auxilliary eigenwert in the loop in loop with the current numerical value of power consumption information greater than threshold value.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 auxilliary eigenwert in the loop of new electricity consumption behavior.
In one embodiment of this invention, wherein utilize the step of the loop dominant eigenvalue reconstruction behavioural characteristic corresponding tables of new electricity consumption behavior also to be included in the corresponding relation that eigenwert is assisted in the loop of writing down new electricity consumption behavior and new electricity consumption behavior in the time feature corresponding tables.
In one embodiment of this invention, wherein judge that according to the pairing electricity consumption behavior combination of approximate combination eigenwert the step of the present electrical equipment electricity consumption behavior in loop comprises whether the approximate combination of judgement eigenwert is unique.If judge that then present electrical equipment electricity consumption behavior meets the pairing electricity consumption behavior combination of approximate combination eigenwert.
In one embodiment of this invention, if approximate combination eigenwert is not unique, the then last time electrical equipment electricity consumption behavior of comparison loop and the pairing electricity consumption behavior combination of all approximate combination eigenwerts is to judge present electrical equipment electricity consumption behavior.
In one embodiment of this invention, wherein if approximate combination eigenwert is not unique, the then last time electrical equipment electricity consumption behavior of comparison loop and the pairing electricity consumption behavior combination of all approximate combination eigenwerts, or compare auxilliary eigenwert in loop and temporal characteristics corresponding tables again, to judge present electrical equipment electricity consumption behavior.
In one embodiment of this invention, this method of discerning electrical equipment electricity consumption behavior on loop also comprises each at 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 auxilliary eigenwert in electricity consumption behavior pairing 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.At in the above-mentioned existing electricity consumption behavior combination each, add up wherein each the pairing loop of electricity consumption behavior dominant eigenvalue, to make up pairing existing assemblage characteristic value as existing electricity consumption behavior.Write down above-mentioned existing electricity consumption behavior combination and corresponding individually existing assemblage characteristic values in the behavioural characteristic corresponding tables.And the auxilliary eigenwert in each electricity consumption behavior loop pairing of each existing electrical equipment of record in the temporal characteristics corresponding tables with it.
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 discerns electrical equipment electricity consumption behavior on the loop, comprises that power consumption information sensor, behavioural characteristic corresponding tables set up module, and identification module.Power consumption information sensor is in order to the numerical value of the single kind of power consumption information in detecting loop.The behavioural characteristic corresponding tables is set up module in order to the behavioural characteristic corresponding tables to be provided.Identification module couples power consumption information sensor and the behavioural characteristic corresponding tables is set up module, when the power consumption change in information amount in loop during greater than threshold value, identification module is with the current numerical value of the power consumption information loop dominant eigenvalue as the loop, and judges the approximate combination eigenwert that whether exists in behavior feature corresponding tables near above-mentioned loop dominant eigenvalue.If not, then 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 reconstruction behavioural characteristic corresponding tables of notifying the behavioural characteristic corresponding tables to set up the new electricity consumption behavior of module utilization, and at least one assemblage characteristic value and corresponding at least one electricity consumption behavior that record is produced are combined in the behavioural characteristic corresponding tables.Identification module is obtained the approximate combination eigenwert near the loop dominant eigenvalue in loop in the combinations thereof eigenwert, and judges the present electrical equipment electricity consumption behavior in loop according to the pairing electricity consumption behavior combination of approximate combination eigenwert.
In one embodiment of this invention, wherein if existence is near the approximate combination eigenwert of the loop dominant eigenvalue in loop in behavior feature corresponding tables, identification module is according to the present electrical equipment electricity consumption behavior in the pairing electricity consumption behavior combination of approximate combination eigenwert judgement loop.
In one embodiment of this invention, wherein identification module record and the loop dominant eigenvalue in loop arranged in behavior feature corresponding tables 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 the loop is used as new electricity consumption behavior.
In one embodiment of this invention, wherein the behavioural characteristic corresponding tables is set up module and is obtained the behavior kind that defines in response to new electricity consumption behavior.If the behavioural characteristic corresponding tables records at least one existing electricity consumption behavior combination, then the behavioural characteristic corresponding tables is set up 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 in the above-mentioned electricity consumption behavior combination each, with the summation of the pairing loop of electricity consumption behavior dominant eigenvalue wherein assemblage characteristic value as correspondence.
In one embodiment of this invention, wherein the behavioural characteristic corresponding tables is set up module when behavior feature corresponding tables does not write down any existing electricity consumption behavior combination, be the combination of the first stroke electricity consumption behavior in the behavioural characteristic corresponding tables with new electricity consumption behavior is newly-increased, and with the assemblage characteristic value of the pairing loop of new electricity consumption behavior dominant eigenvalue as electricity consumption behavior combination.
In one embodiment of this invention, wherein when the power consumption change in information amount 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 auxilliary 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 obtained required time that the numerical value change of power consumption information on the loop tends towards stability in addition as the auxilliary eigenwert in the loop of new electricity consumption behavior.
In one embodiment of this invention, the system of electrical equipment electricity consumption behavior comprises that also the temporal characteristics corresponding tables that couples identification module sets up module on the identification loop.The temporal characteristics corresponding tables is set up module the corresponding relation of the auxilliary eigenwert in new electricity consumption behavior and its loop is recorded in the temporal characteristics corresponding tables.
In one embodiment of this invention, wherein identification module judges whether approximate combination eigenwert is unique.If judge that then present electrical equipment electricity consumption behavior meets the pairing electricity consumption behavior combination of approximate combination eigenwert.
In one embodiment of this invention, identification module is when judging that approximate combination eigenwert is not unique, and the last time electrical equipment electricity consumption behavior of comparison loop and the pairing electricity consumption behavior combination of all approximate combination eigenwerts are to judge present electrical equipment electricity consumption behavior.
In one embodiment of this invention, wherein identification module is when judging that approximate combination eigenwert is not unique, the last time electrical equipment electricity consumption behavior of comparison loop and the pairing electricity consumption behavior combination of all approximate combination eigenwerts, or auxilliary eigenwert in the loop of comparing the loop again and temporal characteristics corresponding tables, to judge present electrical equipment electricity consumption behavior.
In one embodiment of this invention, wherein the behavioural characteristic corresponding tables is set up module at 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 in the above-mentioned existing electricity consumption behavior combination each, add up wherein each the pairing loop of electricity consumption behavior dominant eigenvalue, making up pairing existing assemblage characteristic value as existing electricity consumption behavior, and with above-mentioned existing electricity consumption behavior combination and corresponding individually existing assemblage characteristic value records in the behavioural characteristic corresponding tables.
In one embodiment of this invention, wherein the temporal characteristics corresponding tables is set up module at each of the above-mentioned electricity consumption behavior of above-mentioned existing electrical equipment, collect the auxilliary 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 in the temporal characteristics corresponding tables, write down each electricity consumption behavior loop auxilliary eigenwert corresponding of each existing electrical equipment with it.
In one embodiment of this invention, the system of electrical equipment electricity consumption behavior also comprises and couples identification module output unit as a result on the identification loop, in order to show present electrical equipment electricity consumption 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 electrical equipment electricity consumption behaviors according to the variation of the numerical value of single kind of power consumption information, and then defines multiple electricity consumption behavior combined feature value.In view of the above, after the numerical value change of the present power consumption information in foundation loop obtains the loopback diagnostic value, only need the loopback diagnostic value and the electricity consumption behavior assemblage characteristic value 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 electrical equipment electricity consumption behavior.
For above-mentioned feature and advantage of the present invention can be become apparent, below especially exemplified by embodiment, and conjunction with figs. is described in detail below.
Description of drawings
Fig. 1 is the calcspar of the system of electrical equipment electricity consumption behavior on the identification loop of one embodiment of the invention.
Fig. 2 is the process flow diagram of the method for electrical equipment electricity consumption behavior on the identification loop of one embodiment of the invention.
Fig. 3 A, 3B are the synoptic diagram of the behavioural characteristic corresponding tables of one embodiment of the invention.
Fig. 4 is the process flow diagram that the approximate combination of the foundation eigenwert of one embodiment of the invention is judged present electrical equipment electricity consumption behavior.
The main element symbol description:
100: electricity consumption behavior recognition system; 110: power consumption information sensor;
120: the behavioural characteristic corresponding tables is set up module; 130: the temporal characteristics corresponding tables is set up module;
140: identification module; 150: output unit as a result;
300: the behavioural characteristic corresponding tables;
210～260: each step of the method for electrical equipment electricity consumption behavior on the described identification of one embodiment of the invention loop;
410～430: the approximate combination of the described foundation of one embodiment of the invention eigenwert is judged each step of present electrical equipment electricity consumption behavior.
Embodiment
Fig. 1 is the calcspar of the system of electrical equipment electricity consumption behavior on the identification loop of one embodiment of the invention.See also Fig. 1, electricity consumption behavior recognition system 100 comprises that power consumption information sensor 110, behavioural characteristic corresponding tables are set up module 120, the temporal characteristics corresponding tables 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 the single kind of power consumption information in detecting 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 or the like.Power consumption information then for example is 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 electrical equipment electricity consumption behavior of needs detecting home environment, just power consumption information sensor 110 can be held in place the electric power dish of family.
The behavioural characteristic corresponding tables is set up module 120 behavioural characteristic of being set up corresponding tables is provided.The behavioural characteristic corresponding tables is the corresponding relation that is used for writing down electricity consumption behavior combination and assemblage characteristic value.Before electricity consumption behavior recognition system 100 did not come into operation as yet, the behavioural characteristic corresponding tables was set up the content that module 120 just can produce the behavioural characteristic corresponding tables in advance.In detail, the behavioural characteristic corresponding tables is set up the every kind electricity consumption behavior of module 120 at 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 numerical stability and unstable two by various statisticals partly.And in the present embodiment, each electricity consumption behavior of each existing electrical equipment corresponding respectively loop dominant eigenvalue then be the statistical value that is classified as stable all numerical value partly, 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 electricity consumption behavior permutation and combination, just can produce a plurality of existing electricity consumption behavior combinations with all existing electrical equipment.And at each existing electricity consumption behavior combination, the behavioural characteristic corresponding tables is set up module 120 will add up wherein each the pairing loop of electricity consumption behavior dominant eigenvalue, produce each existing electricity consumption behavior according to this and make up pairing existing assemblage characteristic value.At last, the behavioural characteristic corresponding tables set up module 120 with each existing electricity consumption behavior combination and corresponding individually existing assemblage characteristic value records in behavior feature corresponding tables.
Suppose to have on the loop i existing electrical equipment, present embodiment can be represented the quantity N that all electricity consumption behaviors are made up by following formula so, and the pairing 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 that then existing electrical equipment i makes up loop dominant eigenvalue under the defined electricity consumption behavior in this electricity consumption behavior of X.
What must specify is, except before electricity consumption behavior recognition system 100 comes into operation, setting up the behavioural characteristic corresponding tables earlier, when electricity consumption behavior recognition system 100 is under the operating state, the behavioural characteristic corresponding tables is set up the content that module 120 also can immediately be upgraded the behavioural characteristic corresponding tables, and detailed update mode is chatted after holding again.
The temporal characteristics corresponding tables is set up module 130 can provide the temporal characteristics of being set up corresponding tables, is used for writing down the corresponding relation of various electricity consumption behaviors and an eigenwert.Before electricity consumption behavior recognition system 100 does not come into operation as yet, the temporal characteristics corresponding tables is set up module 130 can be at 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 the auxilliary eigenwert in pairing loop of each electricity consumption behavior of each existing electrical equipment according to this.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 auxilliary eigenwert in loop of this electricity consumption behavior.The temporal characteristics corresponding tables is set up module 130 will be in the temporal characteristics corresponding tables, each electricity consumption behavior of each existing electrical equipment loop auxilliary eigenwert corresponding with it on the record loop.Similarly, in the process of electricity consumption behavior recognition system 100 running, the temporal characteristics corresponding tables is set up the also content of new temporal characteristics corresponding tables immediately of module 130, chats after the time point of renewal and mode are held again.
Identification module 140 couples power consumption information sensor 110, the behavioural characteristic corresponding tables is set up module 120, and the temporal characteristics corresponding tables is set up module 130.Behind the numerical value of obtaining by the power consumption information in power consumption information sensor 110 loops that detect, set up module 120 and the temporal characteristics corresponding tables is set up two corresponding tables that module 130 is provided according to the behavioural characteristic corresponding tables, the present electrical equipment electricity consumption behavior in loop is judged in comparison.In the time of can't producing comparison result when corresponding tables information deficiency, identification module 140 also can notify the behavioural characteristic corresponding tables to set up module 120 and time feature corresponding tables is set up the content that module 130 is upgraded corresponding tables, then does further judgement again.
Electricity consumption behavior recognition system 100 is to be that unit is judged with the loop, does not need extra installing measuring equipment on each electrical equipment in loop.Can not only avoid installing the cost of measuring equipment in view of the above, also, reduce computation complexity significantly to promote identification efficient thereby see through because only need single kind of power consumption information just can carry out identification.
Below will come the detailed operation flow process of electricity consumption behavior recognition system 100 is described with another embodiment.Fig. 2 is the process flow diagram of the method for electrical equipment electricity consumption behavior on the identification loop of one embodiment of the invention, please consults Fig. 1 and Fig. 2 simultaneously.
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 be with the special time at interval) detecting loop just sustainably.Shown in step 210, when the power consumption change in information amount in loop during greater than threshold value, identification module 140 is with the current numerical 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 the 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 auxilliary eigenwert in the loop in loop.In detail, the variation of the numerical value of power consumption information can be divided into stable and unstable two parts by statistical on the loop, and the auxilliary eigenwert in loop then 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 two kinds of eigenwerts that obtain the present loop state of representative, then shown in step 220, identification module 140 is judged the approximate combination eigenwert that whether exists near the loop dominant eigenvalue in loop in behavior feature corresponding tables.Specifically, each assemblage characteristic value that identification module 140 can be write down the loop dominant eigenvalue and the behavioural characteristic corresponding tables in loop 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 behavior feature corresponding tables, identification module 140 is just judged have approximate combination eigenwert in behavior feature corresponding tables.
If can't obtain approximate combination eigenwert from behavior feature corresponding tables, expression behavioural characteristic corresponding tables may not write down any information as yet, though or have data to exist the difference of the loop dominant eigenvalue in every assemblage characteristic value in the 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 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 for example be 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 the 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 auxilliary eigenwert in the loop of new electricity consumption behavior.Owing to the mode of the auxilliary eigenwert in the loop of obtaining new electricity consumption behavior is same or similar with the mode of the auxilliary eigenwert in the loop of obtaining the loop, so do not repeat them here.
Then in step 240, identification module 140 notice behavioural characteristic corresponding tables are set up module profit 120 and are utilized the loop dominant eigenvalue of new electricity consumption behavior to rebuild the behavioural characteristic corresponding tables, and at least one assemblage characteristic value that is produced will rebuild the time and corresponding at least one electricity consumption behavior are made up and be recorded in the behavioural characteristic corresponding tables.Below the detailed step of behavioural characteristic corresponding tables is rebuild in explanation.
At first, the behavioural characteristic corresponding tables 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, for example is the 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 " or the like.Yet the form of above-mentioned behavior kind only is the example of enumerating in order to illustrate, the present invention is not as limit.
Then, the behavioural characteristic corresponding tables is set up module 120 and is judged whether the behavioural characteristic corresponding tables does not write down any information (for example existing electricity consumption behavior combination with have the assemblage characteristic value now) as yet.If, the behavioural characteristic corresponding tables set up module 120 directly new electricity consumption behavior is increased new for the combination of the first stroke electricity consumption behavior in the corresponding tables (that is, this electricity consumption behavior combination includes only a kind of electricity consumption behavior), and with the assemblage characteristic value of the pairing loop of new electricity consumption behavior dominant eigenvalue, and be recorded in the behavioural characteristic corresponding tables as this electricity consumption behavior combination.
If the behavioural characteristic corresponding tables has write down at least one existing electricity consumption behavior combination, the behavioural characteristic corresponding tables is set up the new electricity consumption behavior of module 120 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 behavioural characteristic corresponding tables is set up module 120 at the electricity consumption behavior of each new generation combination, is used as the assemblage characteristic value that the electricity consumption behavior is made up with the summation of the indivedual corresponding loop dominant eigenvalues of each electricity consumption behavior institute wherein.
Fig. 3 A, 3B are the synoptic diagram of the behavioural characteristic corresponding tables of one embodiment of the invention.With Fig. 3 A is example, supposes that behavioural characteristic corresponding tables 300 has now write down 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 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 the pairing loop of electricity consumption behavior 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 Dui Ying 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 power consumption change in information amount 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 so then can produce 12 new electricity consumption behavior combinations (shown in the electricity consumption behavior combination field of Fig. 3 B).The 4th the electricity consumption behavior of being write down with Fig. 3 B is combined as example, and 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 temporal characteristics corresponding tables to set up the content of module feature corresponding tables 130 update time.The temporal characteristics corresponding tables 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 temporal characteristics corresponding tables, to write down the corresponding relation of the auxilliary eigenwert in new electricity consumption behavior and its loop.
Next shown in the step 250 of Fig. 2, identification module 140 is compared the loop dominant eigenvalue in loop and each the assemblage characteristic value in the behavioural characteristic corresponding tables, 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.
Shown in step 260, identification module 140 makes up the present electrical equipment electricity consumption behavior of judging the loop according to the pairing electricity consumption behavior of approximate combination eigenwert at last.Fig. 4 is the process flow diagram that the approximate combination of the foundation eigenwert of one embodiment of the invention is judged present electrical equipment electricity consumption behavior.Below with Fig. 4 the detailed step of judgement is described.At first shown in step 410, identification module 140 judges whether approximate combination eigenwert is unique.If then shown in step 420, the present electrical equipment electricity consumption behavior of identification module 140 determination circuit meets the pairing electricity consumption behavior combination of approximate combination eigenwert.
Yet if approximate combination eigenwert is not unique, then shown in step 430, the last time electrical equipment electricity consumption behavior of identification module 140 comparison loop and the pairing electricity consumption behavior combination of all approximate combination eigenwerts, and the present electrical equipment electricity consumption behavior of determination circuit is and the last time electricity consumption behavior combination of electrical equipment electricity consumption behavior difference minimum.
In addition, when approximate combination eigenwert is not unique, identification module 140 also can first tranmittance more last time electrical equipment electricity consumption behavior and the pairing electricity consumption behavior combination of all approximate combination eigenwerts, and then filter out several less candidate's electricity consumption behaviors combinations of difference.Then more auxilliary eigenwert in the loop in loop and temporal characteristics corresponding tables are compared, and then from candidate's electricity consumption behavior combination, further filter out the present electrical equipment electricity consumption behavior in loop.
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 behavior feature corresponding tables, so directly shown in step 260, identification module 140 is judged the present electrical equipment electricity consumption behavior in loop according to the pairing electricity consumption behavior combination of approximate combination eigenwert.Because the detailed step of judging is narrated as above, so do not repeat them here.
After the electricity consumption behavior of each electrical equipment on the identification loop, can recognition result output be inspected for the user by output unit 150 as a result.And as long as write down each identification result, just can judge the front and back state variation of each electrical equipment on the loop further, and then calculate the service time of electrical equipment, with reference as the reckoning electricity cost.
In the operation of electricity consumption behavior recognition system 100, if identification module 140 can't be obtained suitable reference data from behavior feature corresponding tables, identification module 140 just can be notified the behavioural characteristic corresponding tables to set up module 120 and utilize new information reformation behavioural characteristic corresponding tables so, and notice temporal characteristics corresponding tables is set up the content of module feature corresponding tables 130 update time.In other words, electricity consumption behavior recognition system 100 possesses the ability of Online Learning, can directly judge the electrical equipment electricity consumption behavior on the loop, and might not spend the systematic learning time of setting up corresponding tables in advance.
The present invention also provides a kind of computer program product, and it is in order to carry out the method for electrical equipment electricity consumption behavior on the above-mentioned identification loop.This computer program product is formed (for example setting program instruction fragment and deployment program instruction fragment or the like) by several programmed instruction fragments basically, after these programmed instruction fragments being written into computer system and carrying out, can finish each step of the method for electrical equipment electricity consumption behavior on the aforementioned identification loop, and make computer system possess only to utilize a power consumption information sensor and the ability of each electrical equipment electricity consumption 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 single kind of power consumption change in information, thereby sets up the corresponding tables 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 electrical equipment electricity consumption behavior.Particularly belong to fixed electrical equipment and eigenwert gap to each other when big when the electrical equipment on the loop more, can also produce suitable accurate recognition effect.Moreover, since the content of corresponding tables can be when 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 made amendment to the technical scheme that aforementioned each embodiment put 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 discerning electrical equipment electricity consumption behavior on the loop, this method comprises:
When the single kind of power consumption change in information amount in loop during, with a current numerical value of this power consumption information a loop dominant eigenvalue as this loop greater than a threshold value;
Whether judgement exists the approximate combination eigenwert near this loop dominant eigenvalue in a behavior feature corresponding tables;
If not, then 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 behavior feature corresponding tables, and at least one assemblage characteristic value and corresponding at least one electricity consumption behavior that record is produced are combined in behavior feature corresponding tables; And
In this at least one assemblage characteristic value, obtained near should being similar to of this loop dominant eigenvalue in this loop and made up eigenwert, to make up a present electrical equipment electricity consumption behavior of judging this loop according to should approximately making up the pairing electricity consumption behavior of eigenwert.
2. the method for electrical equipment electricity consumption behavior on the identification according to claim 1 loop wherein also comprises after judging the step that whether has this approximate combination eigenwert in behavior feature corresponding tables:
If, then according to should the pairing electricity consumption behavior of approximate combination eigenwert making up this present electrical equipment electricity consumption behavior of judging this loop.
3. the method for electrical equipment electricity consumption behavior on the identification according to claim 1 loop, wherein judge in behavior feature corresponding tables, whether to exist step of this approximate combination eigenwert to comprise:
When the behavior feature corresponding tables record and this loop dominant eigenvalue in this loop arranged the assemblage characteristic value of gap in a particular range time, judge that exist should approximate combination eigenwert.
4. the method for electrical equipment electricity consumption behavior on the 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 electrical equipment electricity consumption behavior on the identification according to claim 1 loop, wherein utilize this loop dominant eigenvalue of this new electricity consumption behavior to rebuild behavior feature corresponding tables, and write down the step that this at least one assemblage characteristic value and corresponding this at least one electricity consumption behavior be combined in behavior feature corresponding tables and comprise:
Define the behavior kind of this new electricity consumption behavior;
If the behavior, the feature corresponding tables recorded at least one existing electricity consumption behavior combination, then 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 in this at least one electricity consumption behavior combination each, with the summation of pairing this loop dominant eigenvalue of electricity consumption behavior wherein as assemblage characteristic value to should the electricity consumption behavior making up; And
If the behavior, the feature corresponding tables do not write down any existing electricity consumption behavior combination, then newly-increased this new electricity consumption behavior is the first stroke electricity consumption behavior combination in the behavior feature corresponding tables, and with this loop dominant eigenvalue of this new electricity consumption behavior correspondence assemblage characteristic value as the first stroke electricity consumption behavior combination.
6. the method for electrical equipment electricity consumption behavior on the identification according to claim 5 loop, wherein when this power consumption change in information amount in this loop during, also comprise with this current numerical value of this power consumption information step as this loop dominant eigenvalue in this loop greater than this threshold value:
Obtain required time that the numerical value change of this power consumption information on this loop tends towards stability as the auxilliary eigenwert in a 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 the required time that the numerical value change of this power consumption information on this loop tends towards stability and assist eigenwert as this loop of this new electricity consumption behavior; And
Utilize the step of this loop dominant eigenvalue reconstruction behavior feature corresponding tables of this new electricity consumption behavior also to comprise:
The corresponding relation of the auxilliary eigenwert in this loop of this new electricity consumption behavior of record and this new electricity consumption behavior in a time feature corresponding tables.
7. the method for electrical equipment electricity consumption behavior on the identification according to claim 6 loop, wherein according to should the pairing electricity consumption behavior combination of approximate combination eigenwert judging that the step of this present electrical equipment electricity consumption behavior in this loop comprised:
Whether judgement should approximately be made up eigenwert unique;
If judge that then this present electrical equipment electricity consumption behavior meets the pairing electricity consumption behavior combination of this approximate combination eigenwert; And
If not, then relatively one of this loop last time electrical equipment electricity consumption behavior and the pairing electricity consumption behavior combination of all approximate combination eigenwerts, judging this present electrical equipment electricity consumption behavior, or compare the auxilliary eigenwert in this loop and this temporal characteristics corresponding tables in this loop again, with this present electrical equipment electricity consumption behavior of judgement.
8. the method for electrical equipment electricity consumption behavior on the identification according to claim 1 loop also comprises:
At 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 the auxilliary eigenwert in pairing this a loop dominant eigenvalue of this electricity consumption behavior and 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;
At in described a plurality of existing electricity consumption behaviors combinations each, add up wherein pairing this loop dominant eigenvalue of each described a plurality of electricity consumption behavior, to have the assemblage characteristic value now as should existing electricity consumption behavior making up pairing one;
Write down described a plurality of existing electricity consumption behavior combination and have the assemblage characteristic value now in behavior feature corresponding tables with indivedual corresponding being somebody's turn to do; And
Each described a plurality of electricity consumption behavior of the described a plurality of existing electrical equipment of record and the auxilliary eigenwert in this corresponding loop in a time feature corresponding tables.
9. system that discerns electrical equipment electricity consumption behavior on the loop comprises:
One power consumption information sensor is detected the numerical value of the single kind of power consumption information in a loop;
One behavior feature corresponding tables is set up module, and a behavior feature corresponding tables is provided; And
One identification module, couple this power consumption information sensor and the behavior feature corresponding tables set up module,
Wherein when this power consumption change in information amount in this loop during greater than a threshold value, this identification module is with a current numerical value of this power consumption information loop dominant eigenvalue as this loop, and judges an approximate combination eigenwert that whether exists in behavior feature corresponding tables near this loop dominant eigenvalue;
If not, then 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 notice behavior feature corresponding tables sets up module and utilizes this loop dominant eigenvalue of this new electricity consumption behavior to rebuild behavior feature corresponding tables, and at least one assemblage characteristic value and corresponding at least one electricity consumption behavior that record is produced are combined in behavior feature corresponding tables;
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, to make up a present electrical equipment electricity consumption behavior of judging this loop according to should approximately making up the pairing electricity consumption behavior of eigenwert.
10. the system of electrical equipment electricity consumption behavior on the identification according to claim 9 loop, wherein if in behavior feature corresponding tables, exist near this loop dominant eigenvalue in this loop should approximate combination eigenwert, this identification module is according to this present electrical equipment electricity consumption behavior of should the pairing electricity consumption behavior combination of approximate combination eigenwert judging this loop.
11. the system of electrical equipment electricity consumption behavior on the identification according to claim 9 loop, wherein this identification module the behavior feature corresponding tables record and this loop dominant eigenvalue in this loop arranged the assemblage characteristic value of gap in a particular range time, judge that exist should approximate combination eigenwert.
12. the system of electrical equipment electricity consumption behavior on the 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 electrical equipment electricity consumption behavior on the identification according to claim 9 loop, wherein the feature corresponding tables is set up module and is obtained the behavior kind that defines in response to this new electricity consumption behavior the behavior, if the behavior, the feature corresponding tables recorded at least one existing electricity consumption behavior combination, then the feature corresponding tables is set up this new electricity consumption behavior of module permutation and combination and is made up with should be at least one existing electricity consumption behavior the behavior, to produce this at least one electricity consumption behavior combination, and in this at least one electricity consumption behavior combination each, with the summation of pairing this loop dominant eigenvalue of electricity consumption behavior wherein as to assemblage characteristic value that should electricity consumption behavior combination
If the behavior, the feature corresponding tables do not write down any existing electricity consumption behavior combination, the behavior feature corresponding tables to set up newly-increased this new electricity consumption behavior of module be the first stroke electricity consumption behavior combination in the behavior feature corresponding tables, and with the assemblage characteristic value of pairing this loop dominant eigenvalue of this new electricity consumption behavior as the first stroke electricity consumption behavior combination.
14. the system of electrical equipment electricity consumption behavior on the identification according to claim 9 loop, wherein when this power consumption change in information amount 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 auxilliary eigenwert in a loop in this loop, and when the variation of the numerical value of this power consumption information obtained this loop dominant eigenvalue of this new electricity consumption behavior on according to this loop, other obtained the required time that the numerical value change of this power consumption information on this loop tends towards stability and assists eigenwert as this loop of this new electricity consumption behavior.
15. the system of electrical equipment electricity consumption behavior on the identification according to claim 14 loop also comprises:
One time feature corresponding tables is set up module, couples this identification module, writes down this new electricity consumption behavior and assists the corresponding relation of eigenwert in a time feature corresponding tables with this loop of this new electricity consumption behavior.
16. the system of electrical equipment electricity consumption behavior on the 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 then this present electrical equipment electricity consumption behavior meets the pairing electricity consumption behavior combination of this approximate combination eigenwert
This identification module is when judging that this approximate combination eigenwert is not unique, relatively one of this loop last time electrical equipment electricity consumption behavior and the pairing electricity consumption behavior combination of all approximate combination eigenwerts, to judge this present electrical equipment electricity consumption behavior, or the auxilliary eigenwert in this loop of comparing this loop again and this temporal characteristics corresponding tables, with this present electrical equipment electricity consumption behavior of judgement.
17. the system of electrical equipment electricity consumption behavior on the identification according to claim 15 loop, wherein the feature corresponding tables is set up module at each of the multiple electricity consumption behavior of a plurality of existing electrical equipment on this loop the behavior, 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 in described a plurality of existing electricity consumption behaviors combinations each, add up wherein pairing this loop dominant eigenvalue of each described a plurality of electricity consumption behavior, to make up pairing one existing assemblage characteristic value as having the electricity consumption behavior now, and write down described a plurality of existing electricity consumption behavior combination and have assemblage characteristic values now in behavior feature corresponding tables with indivedual corresponding these
This temporal characteristics corresponding tables is set up module at each of described a plurality of electricity consumption behaviors of described a plurality of existing electrical equipment, the auxilliary eigenwert in this loop of this new electricity consumption behavior that collection obtained according to having the variation of electrical equipment numerical value of this power consumption information under this electricity consumption behavior now, and in this temporal characteristics corresponding tables, write down each described a plurality of electricity consumption behavior of described a plurality of existing electrical equipment and the corresponding auxilliary eigenwert in this loop.
18. the system of electrical equipment electricity consumption behavior on the identification according to claim 9 loop also comprises:
One output unit as a result couples this identification module, to show this present electrical equipment electricity consumption behavior.
19. the system of electrical equipment electricity consumption behavior on the 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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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103135009A (en) * | 2011-11-21 | 2013-06-05 | 财团法人交大思源基金会 | Electric appliance detection method and system based on user feedback information |
| CN103675503A (en) * | 2012-09-14 | 2014-03-26 | 中华电信股份有限公司 | Abnormal state detection system and method for electrical equipment |
| CN104135407A (en) * | 2014-08-12 | 2014-11-05 | 中国联合网络通信集团有限公司 | Electrical apparatus operational monitoring method, server and system |
| CN104297594A (en) * | 2014-10-13 | 2015-01-21 | 电子科技大学 | Household appliance operation state monitoring method of intelligent home |
| CN105723575A (en) * | 2013-11-13 | 2016-06-29 | 三星电子株式会社 | Apparatus and method for sensing event in smart plug device |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2482252Y (en) * | 2001-06-18 | 2002-03-13 | 大庆市北盛有限公司 | Intelligent power supply line monitor |
| US20040081099A1 (en) * | 2002-06-24 | 2004-04-29 | Stuart Patterson | Identification system and method for recognizing any one of a number of different types of devices |
| CN1852313A (en) * | 2005-12-06 | 2006-10-25 | 华为技术有限公司 | Power supply management method and power supply information inquiry method for isomerization network switching |
| US20070200553A1 (en) * | 2006-02-10 | 2007-08-30 | Roger Morrison | Electrical profile monitoring system for detection of atypical consumption |
| CN200989922Y (en) * | 2006-08-09 | 2007-12-12 | 太原市特普高电子科技有限公司 | Electronic energy meter with power-driven device identification function |
| CN201278000Y (en) * | 2008-06-12 | 2009-07-22 | 河南新天科技有限公司 | Multi-charge rate double loop electric meter with resistive load monitoring |
-
2009
- 2009-12-03 CN CN 200910251387 patent/CN102087319B/en not_active Expired - Fee Related
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2482252Y (en) * | 2001-06-18 | 2002-03-13 | 大庆市北盛有限公司 | Intelligent power supply line monitor |
| US20040081099A1 (en) * | 2002-06-24 | 2004-04-29 | Stuart Patterson | Identification system and method for recognizing any one of a number of different types of devices |
| CN1852313A (en) * | 2005-12-06 | 2006-10-25 | 华为技术有限公司 | Power supply management method and power supply information inquiry method for isomerization network switching |
| US20070200553A1 (en) * | 2006-02-10 | 2007-08-30 | Roger Morrison | Electrical profile monitoring system for detection of atypical consumption |
| CN200989922Y (en) * | 2006-08-09 | 2007-12-12 | 太原市特普高电子科技有限公司 | Electronic energy meter with power-driven device identification function |
| CN201278000Y (en) * | 2008-06-12 | 2009-07-22 | 河南新天科技有限公司 | Multi-charge rate double loop electric meter with resistive load monitoring |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103135009A (en) * | 2011-11-21 | 2013-06-05 | 财团法人交大思源基金会 | Electric appliance detection method and system based on user feedback information |
| CN103135009B (en) * | 2011-11-21 | 2016-03-16 | 财团法人交大思源基金会 | Electric appliance detection method and system based on user feedback information |
| CN103675503A (en) * | 2012-09-14 | 2014-03-26 | 中华电信股份有限公司 | Abnormal state detection system and method for electrical equipment |
| CN105723575A (en) * | 2013-11-13 | 2016-06-29 | 三星电子株式会社 | Apparatus and method for sensing event in smart plug device |
| CN105723575B (en) * | 2013-11-13 | 2018-03-16 | 三星电子株式会社 | The apparatus and method of perception events in smart jack equipment |
| US10557882B2 (en) | 2013-11-13 | 2020-02-11 | Samsung Electronics Co., Ltd. | Apparatus and method for sensing event in smart plug device |
| US11002798B2 (en) | 2013-11-13 | 2021-05-11 | Samsung Electronics Co., Ltd. | Apparatus and method for sensing event in smart plug device |
| CN104135407A (en) * | 2014-08-12 | 2014-11-05 | 中国联合网络通信集团有限公司 | Electrical apparatus operational monitoring method, server and system |
| CN104297594A (en) * | 2014-10-13 | 2015-01-21 | 电子科技大学 | Household appliance operation state monitoring method of intelligent home |
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|---|---|
| CN102087319B (en) | 2013-05-08 |
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