CN103135008B - Power abnormal detection device and electricity exception method for detecting thereof - Google Patents
Power abnormal detection device and electricity exception method for detecting thereof Download PDFInfo
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- CN103135008B CN103135008B CN201110416268.XA CN201110416268A CN103135008B CN 103135008 B CN103135008 B CN 103135008B CN 201110416268 A CN201110416268 A CN 201110416268A CN 103135008 B CN103135008 B CN 103135008B
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Abstract
The invention provides a kind of power abnormal detection device and electricity exception method for detecting thereof.This power abnormal detection device is in order to perform: define several parameters of electric power type; According to these parameters of electric power types, set up several reference power events from several several reference power informations with reference to electrical equipment and treat that the power information to be measured of electricity measurer sets up a power events to be measured from one; According to these parameters of electric power types, set up several with reference to electric power sample with reference to power events from these; Calculate the first parameters of electric power distribution of respectively this reference electric power sample; In conjunction with this power events to be measured to each this reference electric power sample and the second parameters of electric power calculating respectively this reference electric power sample distribute; Calculate the difference of the respectively distribution of this first parameters of electric power and the distribution of this second parameters of electric power respectively; And this treats that electricity measurer occurs extremely according to these diversity judgements.
Description
Technical field
The present invention is about a kind of power abnormal detection device and electricity exception method for detecting thereof; More specifically, the present invention judges power abnormal detection device and the electricity exception method for detecting thereof of electricity exception about a kind of power information of the electrical equipment via several identical type.
Background technology
Exhausting gradually and obtaining the uncertainty of the following replaceable energy in response to the existing energy, the consciousness of global environmental protection and economize energy is surging gradually, makes economize energy issues associated also be subject to the attention of modern gradually.In economize energy issues associated, except the energy that lasting developing is following available, how effectively economize energy is also a large major subjects.In the past, when lacking power information, the user of electrical equipment, in unwitting situation of being everlasting, caused excessive energy loss.So, how while making electrical appliance, the power information of user's electrical equipment is provided in the lump, allows user can understand the electricity consumption behavior of oneself and the service condition of electrical equipment according to power information, by large crucial for be the economize energy reaching electrical equipment one.
Intelligent type ammeter is one of the most popular current energy source use instrument, and via the installation of Intelligent type ammeter, the behaviour in service of electrical equipment is able to be detected, and makes the power information that user's fechtable is instant.Once user can obtain the power information of electrical equipment, just power information can be utilized to set up with reference to power information sample, and judge whether instantly captured power information exception occurs via with reference to power information sample, and then give a warning for the electrical equipment sending this power information, continue in the exception when to avoid this electrical equipment to use, cause this electrical equipment to continue to waste energy.
For traditional electricity exception method for detecting, it must via collecting the history power information of electrical equipment to set up with reference to power information sample.But, in order to set up accurately with reference to power information sample, the history power information that traditional electricity exception method for detecting is collected must consider that season, time, temperature are for the impact of electrical equipment out of the ordinary, causes the collection process tedious of the history power information of electrical equipment and loaded down with trivial details.
In addition, for the electrical equipment newly used, because it not yet has enough history power informations, traditional electricity exception method for detecting also cannot set up the reference power information sample of this electrical equipment immediately, cause this electrical equipment before not setting up reference power information sample just in case occur extremely, to be learnt by user at all.
In view of this, how effectively to solve traditional electricity exception method for detecting before foundation is with reference to power information sample, must experience the collection process of tediously long and loaded down with trivial details history power information, the true dealer for this field needs the problem of solution badly.
Summary of the invention
An object of the present invention is to provide a kind of power abnormal detection device and electricity exception method for detecting thereof.Specifically, power abnormal detection device of the present invention and electricity exception method for detecting thereof are via collecting the power information of identical type of appliance to set up the reference power information sample of electrical equipment out of the ordinary.Because user has similar electricity consumption behavior for identical electrical equipment, therefore according to the power information of identical type of appliance set up the reference power information sample of electrical equipment out of the ordinary, not only there is reliable accuracy, it also avoid the collection process of tediously long and loaded down with trivial details history power information simultaneously.Accordingly, power abnormal detection device of the present invention and electricity exception method for detecting thereof are must collect by tediously long and loaded down with trivial details history power information the disappearance that process can set up accurate reference power information sample for effectively improving traditional electricity exception method for detecting.
For reaching above-mentioned purpose, the invention provides a kind of power abnormal detection device.This power abnormal detection device comprises a reservoir, a power information acquisition device and the electrically connect processor to this reservoir and this power information acquisition device.This reservoir, in order to store several several reference power informations with reference to electrical equipment.This power information acquisition device, treats one of electricity measurer power information to be measured in order to capture one, and wherein this treats that electricity measurer belongs to identical type with these with reference to electrical equipment.This processor is in order to perform following operation:
Define several parameters of electric power type;
According to these parameters of electric power types, set up several reference power events from these reference power informations and set up a power events to be measured from this power information to be measured;
According to these parameters of electric power types, set up several with reference to electric power sample with reference to power events from these;
Calculate one first parameters of electric power distribution of respectively this reference electric power sample;
In conjunction with this power events to be measured extremely respectively this reference electric power sample, and calculate one second parameters of electric power distribution of respectively this reference electric power sample;
Calculate a difference of the respectively distribution of this first parameters of electric power and the distribution of this second parameters of electric power respectively; And
According to these difference, judge that this treats that electricity measurer occurs abnormal.
For reaching above-mentioned purpose, the present invention more provides a kind of electricity exception method for detecting for a power abnormal detection device.This power abnormal detection device comprises a reservoir, a power information acquisition device and the electrically connect processor to this reservoir and this power information acquisition device.This electricity exception method for detecting comprises the following step:
A () makes this reservoir store several several reference power informations with reference to electrical equipment;
B () makes this power information acquisition device capture one and treats one of electricity measurer power information to be measured, wherein this treats that electricity measurer belongs to identical type with these with reference to electrical equipment;
C () makes this processor define several parameters of electric power type;
D () makes this processor according to these parameters of electric power types, set up several reference power events from these reference power informations and set up a power events to be measured from this power information to be measured;
E () makes this processor according to these parameters of electric power types, set up several with reference to electric power sample from these with reference to power events;
F () makes this processor calculate one first parameters of electric power distribution of respectively this reference electric power sample;
G () makes this processor in conjunction with this power events to be measured extremely respectively this reference electric power sample, and calculate one second parameters of electric power distribution of respectively this reference electric power sample;
H () makes this processor calculate a difference of the respectively distribution of this first parameters of electric power and the distribution of this second parameters of electric power respectively; And
I () makes this processor according to these difference, judge that this treats that electricity measurer occurs abnormal.
For above-mentioned purpose, technical characteristic and advantage can be become apparent, hereafter accompanying drawing is coordinated to be described in detail with preferred embodiment.
Accompanying drawing explanation
Fig. 1 is an assembly schematic diagram of the power abnormal detection device 1 of the first embodiment of the present invention;
Fig. 2 A-2B is the schematic diagram of the one first parameters of electric power distribution 20c of a reference electric power sample 20b of the first embodiment of the present invention;
Fig. 3 A is a two-dimensional space schematic diagram of the one second parameters of electric power distribution 20d of a reference electric power sample 20b of the first embodiment of the present invention;
Fig. 3 B is a two-dimensional space schematic diagram of another second parameters of electric power distribution 20d of a reference electric power sample 20b of the first embodiment of the present invention; And
Fig. 4 A-4B is a process flow diagram of the second embodiment of the present invention.
Primary clustering symbol description:
1: power abnormal detection device
11: reservoir
13: power information acquisition device
15: processor
20: with reference to power information
22: power information to be measured
3: treat electricity measurer
5: several with reference to electrical equipment
7: external storage device/equipment/module
Embodiment
Below will explain content of the present invention by embodiment.Must expositor, embodiments of the invention being not used to limit the present invention must as following examples and graphic as described in any specific environment, application or particular form can implement.Therefore, about following examples and graphic explanation are only explaination object of the present invention, and be not used to limit the present invention, and the scope that this case is asked, be as the criterion with claims.In addition, in following examples and graphic in, the assembly relevant to non-immediate of the present invention omits and does not illustrate, and graphic in the size relationship of each inter-module be only and ask easy understanding, and be not used to limit actual ratio.
The first embodiment of the present invention is a power abnormal detection device 1.Fig. 1 is an assembly schematic diagram of power abnormal detection device 1.As shown in Figure 1, power abnormal detection device 1 at least comprises reservoir 11, power information acquisition device 13 and the electrically connect processor 15 to reservoir 11 and power information acquisition device 13.Palpus expositor, in addition to the components described above, power abnormal detection device 1 of the present invention can comprise other assembly, so considers the principle simplified is described, is omitted with the present invention compared with without directly related assembly in this embodiment.
Reservoir 11 is in order to store several several reference power informations 20 with reference to electrical equipment 5.In the present embodiment, these these reference power informations 20 with reference to electrical equipment 5 can by power information acquisition device 13 after several reference electrical equipment 5 captures, and the instruction of treated device 15 is stored in reservoir 11; Also be directly stored in reservoir 11 with any storing mode by any external storage device, equipment or module 7.
On the other hand, power information acquisition device 13 treats one of electricity measurer 3 power information 22 to be measured in order to capture one, wherein treats that electricity measurer 3 belongs to identical type with these with reference to electrical equipment 5.For example, treat that electricity measurer 3 can be any electronic installation that TV, refrigerator, desk lamp, micro-wave oven, baking box, washing machine, air conditioner etc. need power supply with these reference electrical equipment 5.
How power abnormal detection device 1 for the present invention judges to treat that abnormal being further described below occurs electricity measurer 3 with reference to power information 20 according to these in reservoir 11.First, the processor 15 of power abnormal detection device 1 can in response to treating the type of electricity measurer 3 or the definition according to user, define several different parameters of electric power type, wherein these parameters of electric power types not limited but electric switch number of times in power consumption, electrical equipment opening time, electrical equipment shut-in time, electricity consumption duration, a hour can be comprised, super number of times after one minute opened by electrical equipment, in one week electrical equipment use T.T. etc. type.Must expositor, those skilled in the art should think easily according to the above-mentioned type and how different parameters of electric power type to agree with the different definition treating the dissimilar of electricity measurer 3 or user.
Processor 15 is more according to these parameters of electric power types, set up several reference power events 20a from these reference power informations 20 and set up a power events 22a to be measured from this power information 22 to be measured, wherein each all comprises these identical parameters of electric power types with reference to power events 20a and power events 22a to be measured.For example, if these parameters of electric power types comprise power consumption and electrical equipment opening time, then each power events be made up of power consumption and electrical equipment opening time with reference to power events 20a and power events 22a to be measured; If these parameters of electric power types comprise electrical equipment shut-in time and electricity consumption duration, then each power events be made up of electrical equipment shut-in time and electricity consumption duration with reference to power events 20a and power events 22a to be measured.
Processor 15, more according to these parameters of electric power types, is set up several with reference to electric power sample 20b from these with reference to power events 20a.In the present embodiment, the mode of setting up of these electric power samples 20b defines several parameters of electric power mobility scale by processor 15 according to these parameters of electric power types, and classifies these with reference to power events 20a to set up these electric power samples 20b according to these parameters of electric power mobility scales.But, in other embodiment, alternate manner also can be taked to set up with reference to power events 20a several with reference to electric power sample 20b from these, be not limited to the mode described in the present embodiment.
Further, suppose that these parameters of electric power types comprise power consumption and electrical equipment opening time, and processor 15 defines power consumption respectively and electrical equipment open-interval parameters of electric power mobility scale is 50 watts and 20 minutes, then these will be classified as one group with reference to the power consumption difference each other of power events 20a in 50 watts; And these electrical equipment opening time differences each other with reference to power events 20a will be classified as one group in 20 minutes.Appoint in the grouping of above-mentioned power consumption and the grouping of electrical equipment opening time and get one group and can set up an electric power sample 20b.More detailed description can consult described later exemplaryly to illustrate.
Processor 15 more calculates each one first parameters of electric power distribution 20c with reference to electric power sample 20b, and in conjunction with power events 22a to be measured to each with reference to electric power sample 20b after, calculate each one second parameters of electric power distribution 20d with reference to electric power sample 20b.Then, processor 15 calculates the difference between each first parameters of electric power distribution 20c with reference to electric power sample 20b and the second parameters of electric power distribution 20d respectively, and treats whether electricity measurer 3 exception occurs according to these diversity judgements.
In the present embodiment, processor 15 judges to treat that electricity measurer 3 occurs whether exception to occur according to the side-play amount 44 between a first principal component direction 40 of each first parameters of electric power distribution 20c and the Second principal component, direction 42 of this second parameters of electric power distribution.In addition, processor 15 more defines a divergence threshold value, and when this difference exceedes this divergence threshold value, judges to treat that exception occurs electricity measurer 3.Palpus expositor, in other embodiment, processor 15 also can judge treat whether electricity measurer 3 exception occurs, and is not limited to the judgment mode described in the present embodiment according to alternate manner.For example, processor 15 can set up a parameters of electric power covering scope according to each first parameters of electric power distribution 20c, and whether is positioned at this parameters of electric power covering scope according to power events 22a to be measured, judges to treat whether electricity measurer 3 exception occurs.
Based on the ins and outs of part electrical equipment or the peculiar electricity consumption behavior of user, difference between each first parameters of electric power distribution 20c with reference to electric power sample 20b and the second parameters of electric power distribution 20d may belong to normal, and then causes processor 15 erroneous judgement to treat that exception occurs electricity measurer 3.For example, suppose that several reference electrical equipment 5 and one treats that electricity measurer 3 is all the electric fan that can set high wind, apoplexy and weak wind Three models, wherein the power consumption of high wind, apoplexy and weak wind is respectively 100 watts, 50 watts and 25 watts.Under this hypothesis, when these several several information captured under weak wind pattern with reference to power information 20 with reference to electrical equipment 5, and when the information that the power information to be measured 22 of electricity measurer 3 captures under high wind pattern, the power consumption difference that processor 15 will cause because of weak wind pattern and high wind pattern, erroneous judgement treats that exception occurs electricity measurer 3.
In order to reduce the probability that processor 15 is judged by accident, it is an interval type parameters of electric power type that the processor 15 of the present embodiment more defines at least one of these parameters of electric power types.Specifically, processor 15 is in time defining these parameters of electric power types, and define these parameters of electric power classification of type is interval type parameters of electric power type or non-interval type parameters of electric power type simultaneously.Because interval type parameters of electric power type has a tolerance interval, to make to reduce the difference between respectively this first parameters of electric power distribution and the distribution of this second parameters of electric power.
Be example for above-mentioned example again, suppose severally to treat that electricity measurer 3 is all the electric fan that can set high wind, apoplexy and weak wind Three models with reference to electrical equipment 5 and one, wherein the power consumption of high wind, apoplexy and weak wind is respectively 100 watts, 50 watts and 25 watts.As long as the tolerance interval that processor 15 sets power consumption is 25 watts to 100 watts, then treat that electricity measurer 3 because of the difference of using forestland, and can not be mistaken for generation extremely by processor 15.
Need expositor, and not all parameters of electric power type all can be set as interval type parameters of electric power type.The such as parameters of electric power type such as electrical equipment opening time or electrical equipment shut-in time, because itself is not as power consumption or the above-mentioned ins and outs of electricity consumption duration, if therefore set it to interval type parameters of electric power, can, because of too loose criterion, processor 15 be caused to judge to treat that electricity measurer 3 abnormal accuracy rate occurs and reduces on the contrary.
How to judge to treat that exception occurs electricity measurer 3 to more clearly state power abnormal detection device 1 of the present invention, by via one exemplary illustrate as follows.Must expositor, this exemplary citing being not used to limit the present invention only can as described in mode operate, and all restrictions supposed in exemplary citing only unrestricted the present invention in order to explanation.
In this example, supposing to have four with reference to electrical equipment, be reference electrical equipment 51, reference electrical equipment 52, reference electrical equipment 53 and reference electrical equipment 54 (following general designation reference electrical equipment 51-54) respectively, and one is treated electricity measurer 3.Processor 15 defines four parameters of electric power types, is power consumption (wattage), electrical equipment opening time, electrical equipment shut-in time and electricity consumption duration (minute) respectively.Processor is according to these four parameters of electric power types, four are set up with reference to power events 20a respectively from described four four reference power informations 20 with reference to electrical equipment 51-54, namely set up with reference to power events 20a-1, with reference to power events 20a-2, with reference to power events 20a-3 and with reference to power events 20a-4, and be expressed as follows with the form of { power consumption, electrical equipment opening time, electrical equipment shut-in time, electricity consumption duration }:
With reference to power events 20a-1:{550,07:05,07:30,25}
With reference to power events 20a-2:{600,07:15,07:45,30}
With reference to power events 20a-3:{650,07:20,07:35,15}
With reference to power events 20a-4:{625,08:00,09:00,60}
Based on above-mentioned hypothesis, processor 15 more define power consumption, the electrical equipment opening time, the electrical equipment shut-in time, the electricity consumption duration parameters of electric power mobility scale be 25 watts, 15 minutes, 5 minutes and 15 minutes.Then, processor 15, according to above-mentioned four electronic scopes of parameters of electric power, is classified with reference to power events 20a to above-mentioned four.
Specifically, because the power consumption difference with reference to power events 20a-2 and reference power events 20a-4 is in 25 watts, therefore power consumption grouping is to classify as same group with reference to electrical equipment 52 and with reference to electrical equipment 54, and is one group separately with reference to electrical equipment 51 and reference electrical equipment 53.Because the electrical equipment with reference to power events 20a-1, the electrical equipment opening time difference with reference to power events 20a-2 and reference power events 20a-3 are in 15 minutes, therefore the grouping of electrical equipment opening time is with reference to electrical equipment 51, classify as same group with reference to electrical equipment 52 and with reference to electrical equipment 53, and with reference to electrical equipment 54 from being one group.
Because the electrical equipment shut-in time difference with reference to power events 20a-1 and reference power events 20a-3 is in 20 minutes, therefore the grouping of electrical equipment shut-in time is to classify as same group with reference to electrical equipment 51 and with reference to electrical equipment 53, and be one group separately with reference to electrical equipment 52 and with reference to electrical equipment 54.Because the electricity consumption duration difference with reference to power events 20a-1, reference power events 20a-2 and reference power events 20a-3 is in 10 minutes, therefore the grouping of electricity consumption duration is with reference to electrical equipment 51, classify as same group with reference to electrical equipment 52 and with reference to electrical equipment 53, and with reference to electrical equipment 54 from being one group.
In processor 15 then own demand grouping, the grouping of electrical equipment opening time, the grouping of electrical equipment shut-in time and the grouping of electricity consumption duration, find out all permutation and combination, several with reference to electric power sample 20b to set up.Based on explanation simplification principle, go on to say with wherein with reference to electric power sample 20b:{600 ~ 625,07:05 ~ 07:20,07:30 ~ 07:35,15 ~ 30} below, and those skilled in the art can think and other enforcement aspect with reference to electric power sample 20b unaccounted with reference to electric power sample 20b easily according to this.
Below illustrate and refer to Fig. 2 A and Fig. 2 B, wherein Fig. 2 A and Fig. 2 B is the schematic diagram of the one first parameters of electric power distribution 20c of a reference electric power sample 20b of the first embodiment.Specifically, Fig. 2 A describes the above-mentioned power consumption with reference to electric power sample 20b and electrical equipment open-interval one two-dimensional space parameters of electric power distribution plan, and Fig. 2 A describes above-mentioned with reference to the electrical equipment shut-in time of electric power sample 20b and a two-dimensional space parameters of electric power distribution plan of electricity consumption duration, therefore composition graphs 2A and Fig. 2 B is above-mentioned the first parameters of electric power distribution 20c with reference to electric power sample 20b.
As shown in Figure 2 A, the above-mentioned power consumption with reference to electric power sample 20b and electrical equipment opening time have a first principal component direction 40a, and wherein first principal component direction 40a is in order to represent that the above-mentioned power consumption with reference to electric power sample 20b and electrical equipment open-interval one mainly make a variation direction.In addition, as shown in Figure 2 B, the above-mentioned electrical equipment shut-in time with reference to electric power sample 20b and electricity consumption duration have a first principal component direction 40a, and first principal component direction 40b mainly to make a variation direction with reference to the electrical equipment shut-in time of electric power sample 20b and of electricity consumption duration in order to represent above-mentioned.In four-dimentional space, a first principal component direction 40 of above-mentioned the first parameters of electric power distribution 20c with reference to electric power sample 20b can be learnt in conjunction with first principal component direction 40a and first principal component direction 40b.
Because above-mentioned the first parameters of electric power distribution 20c with reference to electric power sample 20b belongs to the distribution of a four-dimentional space parameters of electric power, and be difficult to graphically because of four-dimentional space, therefore below will only using power consumption and electrical equipment open-interval one two-dimensional space parameters of electric power distribution plan as follow-up explanation.But those skilled in the art, should easily via the explanation of two-dimensional space parameters of electric power distribution plan, the distribution of a four-dimentional space parameters of electric power of think of and above-mentioned the first parameters of electric power distribution 20c with reference to electric power sample 20b easily.
To illustrate how processor 15 calculates the difference between the first parameters of electric power distribution 20c and the second parameters of electric power distribution 20d via Fig. 3 A below, wherein Fig. 3 A is a two-dimensional space schematic diagram of the one second parameters of electric power distribution 20d of a reference electric power sample 20b of the first embodiment.As shown in Figure 3A, when be 650 watts in conjunction with power consumption and the electrical equipment opening time be 07:05 power events 22a to be measured to above-mentioned with reference to electric power sample 20b after, original above-mentioned power consumption with reference to electric power sample 20b and electrical equipment open-interval one first principal component direction 40a, produce a skew 44a by because of adding of power events 22a to be measured.Now, the above-mentioned power consumption with reference to electric power sample 20b and electrical equipment open-interval one first principal component direction 40a will be offset to Second principal component, direction 42a.
Similar in appearance to the explanation of above-mentioned Fig. 3 A, for electrical equipment shut-in time and electricity consumption duration, can calculate between first principal component direction 40b and Second principal component, direction 42b whether produce a skew 44b equally.In four-dimentional space, the skew between first principal component direction 40 and Second principal component, direction 42 can be obtained in conjunction with skew 44a and skew 44b, namely obtain the difference between first principal component direction 40 and Second principal component, direction 42.
Via above-mentioned explanation, clearly demonstrate processor 15 and how to have calculated difference between first principal component direction 40 and Second principal component, direction 42.By that analogy, processor 15 can calculate the difference between above-mentioned all the first parameters of electric power distributions with reference to electric power sample 20b and the distribution of this second parameters of electric power.In the present embodiment, processor 15 more defines a divergence threshold value, and when the difference between first principal component direction 40 and Second principal component, direction 42 exceedes this divergence threshold value, judges to treat that exception occurs electricity measurer 3.
Specifically, if one does not exceed this divergence threshold value with reference to the first parameters of electric power distribution of electric power sample 20b and a difference of this second parameters of electric power distribution, then processor 15 is next with reference to the first parameters of electric power distribution of electric power sample 20b and a difference of this second parameters of electric power distribution by calculating, and judge whether this difference exceedes this divergence threshold value, until calculate all with reference to the first parameters of electric power distribution of electric power sample 20b and a difference of this second parameters of electric power distribution.If all exceed this divergence threshold value all with reference to the first parameters of electric power distribution of electric power sample 20b and the difference of this second parameters of electric power distribution, then expression treats that the electricity consumption behavior of electricity measurer 3 is neither identical with several electricity consumption behavior with reference to electrical equipment.In other words, now judgement is treated that exception occurs electricity measurer 3 by processor 15.
The processor 15 of the present embodiment is via the inner product value calculated between first principal component direction 40 and Second principal component, direction 42, as the difference between first principal component direction 40 and Second principal component, direction 42, wherein this difference of the larger expression of inner product value is less, otherwise inner product value is less, represents that this difference is larger.But in other embodiment, processor 15 also can calculate difference between first principal component direction 40 and Second principal component, direction 42 via alternate manner, but not is limited to the form of the inner product described in the present embodiment.
Below will via Fig. 3 B, further illustrate the impact of interval type parameters of electric power type for the difference between the first parameters of electric power distribution 20c and the second parameters of electric power distribution 20d, wherein Fig. 3 B is a two-dimensional space schematic diagram of another second parameters of electric power distribution 20d of a reference electric power sample 20b of the first embodiment.
Power consumption shown in Fig. 3 B is defined as an interval type parameters of electric power type by processor 15, and the tolerance interval of power consumption is defined as 550 watts to 650 watts.So, when in conjunction with power consumption be 550 watts to 650 watts and the electrical equipment opening time be 07:05 power events 22a to be measured to above-mentioned with reference to electric power sample 20b time, original above-mentioned power consumption with reference to electric power sample 20b and electrical equipment open-interval one first principal component direction 40a, can not produce skew because of adding of power events 22a to be measured.Now, power consumption and the electrical equipment open-interval one first principal component direction 40a of above-mentioned reference electric power sample 20b are identical with Second principal component, direction 42a, and namely first principal component direction 40a can't change because of adding of power events 22a to be measured.
Similarly, based on the explanation of above-mentioned Fig. 3 B, those skilled in the art should think easily and how interval type parameters of electric power type impacts for the skew 44b between the first principal component direction 40b of electrical equipment shut-in time and electricity consumption duration and Second principal component, direction 42b.
Via above-mentioned exemplary illustrating, those skilled in the art should understand technical characteristic of the present invention completely, simultaneously can according to above-mentioned exemplary illustrating, thinks easily and relevant to the technology of the present invention but undeclared in other upper enforcement aspect.
The second embodiment of the present invention is a kind of electricity exception method for detecting for a power abnormal detection device.This power abnormal detection device comprises a reservoir, a power information acquisition device and the electrically connect processor to this reservoir and this power information acquisition device.Specifically, this power abnormal detection device can be the power abnormal detection device 1 described in the first embodiment, and this reservoir, this power information acquisition device and this processor may correspond to the reservoir 11 described in the first embodiment, power information acquisition device 13 and processor 15.Explanation about the present embodiment refers to Fig. 4 A and Fig. 4 B, and wherein Fig. 4 A and Fig. 4 B is a process flow diagram of the second embodiment of the present invention.
As shown in fig. 4 a and fig. 4b, in step S21, this reservoir is made to store several several reference power informations with reference to electrical equipment.In step S22, make this power information acquisition device capture one and treat one of electricity measurer power information to be measured, wherein this treats that electricity measurer belongs to identical type with these with reference to electrical equipment.In step S23, this processor is made to define several parameters of electric power type.After execution step S23, perform step S231, making this processor define at least one of these parameters of electric power types is an interval type parameters of electric power type, it is interval that this at least one interval type parameters of electric power type has a tolerance, to make minimizing this difference that respectively this first parameters of electric power distributes and this second parameters of electric power distributes.Must expositor, step S231 is an optionally step, therefore in other embodiment, step S231 can omit and not affect the present invention.
In step S24, make this processor according to these parameters of electric power types, set up several reference power events from these reference power informations and set up a power events to be measured from this power information to be measured.In step S25, make this processor according to these parameters of electric power types, set up with reference to power events several with reference to electric power sample from these.In time performing step S25, step S251 can be performed simultaneously, make this processor according to these parameters of electric power types, define several parameters of electric power mobility scale, and classify these with reference to power events to set up several reference electric power sample according to these parameters of electric power mobility scales.Must expositor, step S251 is an optionally step, therefore in other embodiment, step S251 can omit and not affect the present invention.
In step S26, this processor is made to calculate one first parameters of electric power distribution of respectively this reference electric power sample.In step S27, make this processor in conjunction with this power events to be measured extremely respectively this reference electric power sample, and calculate one second parameters of electric power distribution of respectively this reference electric power sample.In step S28, this processor is made to calculate a difference of the respectively distribution of this first parameters of electric power and the distribution of this second parameters of electric power respectively.In time performing step S28, can perform step S281, the side-play amount between the Second principal component, direction making this processor distribute according to a first principal component direction of each this first parameters of electric power distribution and this second parameters of electric power calculates this difference simultaneously.Must expositor, step S281 is an optionally step, therefore in other embodiment, step S281 can omit and not affect the present invention.
In step S29, make this processor according to these difference, judge that this treats that electricity measurer occurs abnormal.In time performing step S29, step S291 can be performed simultaneously, make this processor define a divergence threshold value, and when this difference exceedes this divergence threshold value, judge that this treats that electricity measurer occurs abnormal.Must expositor, step S291 is an optionally step, therefore in other embodiment, step S291 can omit and not affect the present invention.
Except above-mentioned steps, second embodiment also can perform all operations described by the first embodiment and function, art has knows that the knowledgeable can be directly acquainted with the second embodiment and how to operate and function to perform these based on above-mentioned first embodiment usually, therefore does not repeat.
In sum, power abnormal detection device of the present invention and electricity exception method for detecting thereof are via collecting the power information of identical type of appliance to set up the reference power information sample of electrical equipment out of the ordinary.Because user has similar electricity consumption behavior for identical electrical equipment, therefore according to the power information of identical type of appliance set up the reference power information sample of electrical equipment out of the ordinary, not only there is reliable accuracy, it also avoid the collection process of tediously long and loaded down with trivial details history power information simultaneously.Accordingly, power abnormal detection device of the present invention and electricity exception method for detecting thereof are must collect by tediously long and loaded down with trivial details history power information the disappearance that process can set up accurate reference power information sample for effectively improving traditional electricity exception method for detecting.
The above embodiments are only used for exemplifying enforcement aspect of the present invention, and explain technical characteristic of the present invention, are not used for limiting protection category of the present invention.Anyly be familiar with this operator and the arrangement of unlabored change or isotropism can all belong to the scope that the present invention advocates, the scope of the present invention should be as the criterion with claims.
Claims (12)
1. a power abnormal detection device, is characterized in that, comprises:
One reservoir, in order to store several several reference power informations with reference to electrical equipment;
One power information acquisition device, treats one of electricity measurer power information to be measured in order to capture one, and this treats that electricity measurer belongs to identical type with these with reference to electrical equipment; And
One processor, electrically connect to this power information acquisition device and this reservoir, and in order to perform following operation:
Define several parameters of electric power type;
According to these parameters of electric power types, set up several reference power events from these reference power informations and set up a power events to be measured from this power information to be measured;
According to these parameters of electric power types, set up several with reference to electric power sample with reference to power events from these;
Calculate one first parameters of electric power distribution of respectively this reference electric power sample;
In conjunction with this power events to be measured extremely respectively this reference electric power sample, and calculate one second parameters of electric power distribution of respectively this reference electric power sample;
Calculate a difference of the respectively distribution of this first parameters of electric power and the distribution of this second parameters of electric power respectively; And
According to these difference, judge that this treats whether electricity measurer exception occurs.
2. power abnormal detection device as claimed in claim 1, it is characterized in that, it is an interval type parameters of electric power type that this processor more defines at least one of these parameters of electric power types, it is interval that this at least one interval type parameters of electric power type has a tolerance, to make minimizing this difference that respectively this first parameters of electric power distributes and this second parameters of electric power distributes.
3. power abnormal detection device as claimed in claim 1, it is characterized in that, this processor defines several parameters of electric power mobility scale according to these parameters of electric power types, and classifies these with reference to power events to set up these with reference to electric power sample according to these parameters of electric power mobility scales.
4. power abnormal detection device as claimed in claim 1, is characterized in that, the side-play amount between the Second principal component, direction that this processor distributes according to a first principal component direction of respectively this first parameters of electric power distribution and this second parameters of electric power calculates this difference.
5. power abnormal detection device as claimed in claim 1, it is characterized in that, this processor more defines a divergence threshold value, and when this difference exceedes this divergence threshold value, judge that this treats that electricity measurer occurs abnormal.
6. power abnormal detection device as claimed in claim 1, it is characterized in that, these parameters of electric power types comprise power consumption, electrical equipment opening time, electrical equipment shut-in time, electricity consumption duration.
7. the electricity exception method for detecting for a power abnormal detection device, it is characterized in that, this power abnormal detection device comprises a reservoir, a power information acquisition device and the electrically connect processor to this reservoir and this power information acquisition device, and this electricity exception method for detecting comprises the following step:
A () makes this reservoir store several several reference power informations with reference to electrical equipment;
B () makes this power information acquisition device capture one and treats one of electricity measurer power information to be measured, this treats that electricity measurer belongs to identical type with these with reference to electrical equipment;
C () makes this processor define several parameters of electric power type;
D () makes this processor according to these parameters of electric power types, set up several reference power events from these reference power informations and set up a power events to be measured from this power information to be measured;
E () makes this processor according to these parameters of electric power types, set up several with reference to electric power sample from these with reference to power events;
F () makes this processor calculate one first parameters of electric power distribution of respectively this reference electric power sample;
G () makes this processor in conjunction with this power events to be measured extremely respectively this reference electric power sample, and calculate one second parameters of electric power distribution of respectively this reference electric power sample;
H () makes this processor calculate a difference of the respectively distribution of this first parameters of electric power and the distribution of this second parameters of electric power respectively; And
I () makes this processor according to these difference, judge that this treats whether electricity measurer exception occurs.
8. electricity exception method for detecting as claimed in claim 7, it is characterized in that, this step (c) more comprises the following step:
(c1) making this processor define at least one of these parameters of electric power types is an interval type parameters of electric power type, it is interval that this at least one interval type parameters of electric power type has a tolerance, to make minimizing this difference that respectively this first parameters of electric power distributes and this second parameters of electric power distributes.
9. electricity exception method for detecting as claimed in claim 7, it is characterized in that, this step (e) more comprises the following step:
(e1) make this processor define several parameters of electric power mobility scale according to these parameters of electric power types, and classify these with reference to power events to set up these with reference to electric power sample according to these parameters of electric power mobility scales.
10. electricity exception method for detecting as claimed in claim 7, it is characterized in that, this step (h) more comprises the following step:
(h1) this processor is made to calculate this difference according to the side-play amount between the Second principal component, direction of a first principal component direction of each this first parameters of electric power distribution and the distribution of this second parameters of electric power.
11. electricity exception method for detecting as claimed in claim 7, it is characterized in that, this step (i) more comprises the following step:
(i1) make this processor define a divergence threshold value, and when this difference exceedes this divergence threshold value, judge that this treats that electricity measurer occurs abnormal.
12. electricity exception method for detecting as claimed in claim 7, it is characterized in that, these parameters of electric power types comprise power consumption, electrical equipment opening time, electrical equipment shut-in time, electricity consumption duration.
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