CN103135008A - Power abnormal detection device and power abnormal detection method - Google Patents

Power abnormal detection device and power abnormal detection method Download PDF

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CN103135008A
CN103135008A CN201110416268XA CN201110416268A CN103135008A CN 103135008 A CN103135008 A CN 103135008A CN 201110416268X A CN201110416268X A CN 201110416268XA CN 201110416268 A CN201110416268 A CN 201110416268A CN 103135008 A CN103135008 A CN 103135008A
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electric power
parameters
electricity
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electrical equipment
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CN103135008B (en
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宋经天
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Institute for Information Industry
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Abstract

The invention provides a power abnormal detection device and a power abnormal detection method. The power abnormal detection device is used for executing the following steps: defining a plurality of power parameter types; building a plurality of reference power events from reference power information of multiple reference electric devices, and building a to-be-detected electric event from a to-be-detected electric device; building a plurality of reference power samples from the reference power events according to the power parameter types; calculating first power parameter distribution of all the reference power samples; combining the to-be-detected power event to the reference power samples and calculating second power parameter distribution of the reference power samples; respectively calculating difference of the first power parameter distribution and the second power parameter distribution; and judging whether the to-be-detected electric device is abnormal according to the difference.

Description

Electricity exception arrangement for detecting and electricity exception method for detecting thereof
Technical field
The present invention is about a kind of electricity exception arrangement for detecting and electricity exception method for detecting thereof; More specifically, the present invention is about a kind of electricity exception arrangement for detecting and electricity exception method for detecting thereof of power information judgement electricity exception of the electrical equipment via several same types.
Background technology
In response to the uncertainty that exhausts gradually and obtain the following replaceable energy of the existing energy, the consciousness of global environmental protection and energy savings is surging gradually, makes the energy savings issues associated also be subject to gradually modern's attention.In the energy savings issues associated, except continuing the following available energy of developing, how effectively energy savings is also a large major subjects.In the past, in the situation that lack power information, the user of electrical equipment caused excessive energy loss in the unwitting situation of being everlasting.So, how when making electrical appliance, provide in the lump the power information of user's electrical equipment, allow the user understand own electricity consumption behavior and the operating position of electrical equipment according to power information, will be a large key of reaching the energy savings of electrical equipment.
Intelligent type ammeter is one of at present the most popular 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 instant power information of user's fechtable.In case the user can obtain the power information of electrical equipment, just can utilize power information to set up with reference to the power information sample, and the power information that instantly captures via reference power information sample judgement abnormal whether, and then give a warning for the electrical equipment that sends this power information, to avoid this electrical equipment to continue to use in abnormal situation, cause this electrical equipment to continue to waste energy.
For traditional electricity exception method for detecting, it must be via the historical power information of collecting electrical equipment to set up with reference to the power information sample.Yet, in order to set up accurately with reference to the power information sample, the historical power information that traditional electricity exception method for detecting is collected must be considered season, time, temperature for the impact of electrical equipment out of the ordinary, causes the collection process of historical power information of electrical equipment tediously long and loaded down with trivial details.
In addition, for a new electrical equipment that uses, because it not yet has enough historical power informations, traditional electricity exception method for detecting also can't be set up the reference power information sample of this electrical equipment immediately, cause this electrical equipment contingency abnormal before not setting up with reference to the power information sample, can't be learnt by the user at all.
In view of this, how effectively to solve traditional electricity exception method for detecting before setting up with reference to the power information sample, must experience the collection process of tediously long and loaded down with trivial details historical power information, really need the problem of solution for the dealer in this field badly.
Summary of the invention
A purpose of the present invention is to provide a kind of electricity exception arrangement for detecting and electricity exception method for detecting thereof.Particularly, electricity exception arrangement for detecting of the present invention and electricity exception method for detecting thereof via the power information of collecting same type electrical equipment to set up the reference power information sample of electrical equipment out of the ordinary.Because the user has similar electricity consumption behavior for identical electrical equipment, therefore the reference power information sample according to the electrical equipment out of the ordinary that power information is set up of same type electrical equipment, not only have reliable accuracy, also avoided simultaneously the collection process of tediously long and loaded down with trivial details historical power information.Accordingly, electricity exception arrangement for detecting of the present invention and electricity exception method for detecting thereof are must can set up accurate disappearance with reference to the power information sample by tediously long and loaded down with trivial details historical power information collection process for effectively improving traditional electricity exception method for detecting.
For reaching above-mentioned purpose, the invention provides a kind of electricity exception arrangement for detecting.This electricity exception arrangement for detecting comprises a reservoir, a power information acquisition device and an electrically connect to the processor of this reservoir and this power information acquisition device.This reservoir, in order to store several with reference to several of electrical equipment with reference to power information.This power information acquisition device, in order to capture a power information to be measured for the treatment of electricity measurer, wherein this treats that electricity measurer and these belong to same type with reference to electrical equipment.This processor is in order to carry out following operation:
Define several parameters of electric power types;
According to these parameters of electric power types, set up several from these with reference to power information and set up an electric power event to be measured with reference to the electric power event and from this power information to be measured;
According to these parameters of electric power types, from these with reference to the electric power event establishment several with reference to the electric power sample;
Calculate respectively and should distribute with reference to one first parameters of electric power of electric power sample;
Extremely respectively be somebody's turn to do with reference to the electric power sample in conjunction with this electric power event to be measured, and calculate respectively and should distribute with reference to one second parameters of electric power of electric power sample;
Calculate respectively the difference that respectively this first parameters of electric power distributes and this second parameters of electric power distributes; And
According to these difference, judge that this treats the electricity measurer abnormal.
For reaching above-mentioned purpose, the present invention more provides a kind of electricity exception method for detecting for an electricity exception arrangement for detecting.This electricity exception arrangement for detecting comprises a reservoir, a power information acquisition device and an electrically connect to the processor of this reservoir and this power information acquisition device.This electricity exception method for detecting comprises the following step:
(a) make this reservoir store several with reference to several of electrical equipment with reference to power information;
(b) make this power information acquisition device acquisition one treat a power information to be measured of electricity measurer, wherein this treats that electricity measurer and these belong to same type with reference to electrical equipment;
(c) make this processor define several parameters of electric power types;
(d) make this processor according to these parameters of electric power types, set up several from these with reference to power information and set up an electric power event to be measured with reference to the electric power event and from this power information to be measured;
(e) make this processor according to these parameters of electric power types, from these with reference to the electric power event establishment several with reference to the electric power sample;
(f) making this processor calculate respectively should distribute with reference to one first parameters of electric power of electric power sample;
(g) make this processor extremely respectively be somebody's turn to do with reference to the electric power sample in conjunction with this electric power event to be measured, and calculate respectively and should distribute with reference to one second parameters of electric power of electric power sample;
(h) make this processor calculate respectively the difference that respectively this first parameters of electric power distributes and this second parameters of electric power distributes; And
(i) make this processor according to these difference, judge that this treats the electricity measurer abnormal.
For above-mentioned purpose, technical characterictic and advantage can be become apparent, hereinafter coordinate accompanying drawing to be elaborated with preferred embodiment.
Description of drawings
Fig. 1 is an assembly schematic diagram of the electricity exception arrangement for detecting 1 of the first embodiment of the present invention;
Fig. 2 A-2B is a schematic diagram with reference to the one first parameters of electric power distribution 20c of electric power sample 20b of the first embodiment of the present invention;
Fig. 3 A is a two-dimensional space schematic diagram with reference to the one second parameters of electric power distribution 20d of electric power sample 20b of the first embodiment of the present invention;
Fig. 3 B is a two-dimensional space schematic diagram with reference to another the second parameters of electric power distribution 20d of 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.
The primary clustering symbol description:
1: the electricity exception arrangement for detecting
11: reservoir
13: the power information acquisition device
15: processor
20: with reference to power information
22: power information to be measured
3: treat electricity measurer
5: several are with reference to electrical equipment
7: external storage device/equipment/module
Embodiment
Below will explain content of the present invention by embodiment.The palpus expositor, embodiments of the invention are not to limit the present invention must can implement as following examples and graphic described any specific environment, application or particular form.Therefore, relevant following examples and graphic explanation only are explaination purpose of the present invention, but not in order to limiting the present invention, and this case scope of asking, and are as the criterion with claims.In addition, in following examples and graphic in, omit and do not illustrate with the non-directly related assembly of the present invention, and in graphic the size relationship of each inter-module only for asking easy understanding, but not in order to limit actual ratio.
The first embodiment of the present invention is an electricity exception arrangement for detecting 1.Fig. 1 is an assembly schematic diagram of electricity exception arrangement for detecting 1.As shown in Figure 1, electricity exception arrangement for detecting 1 comprises a reservoir 11, a power information acquisition device 13 and an electrically connect at least to the processor 15 of reservoir 11 and power information acquisition device 13.Must the expositor, except said modules, electricity exception arrangement for detecting 1 of the present invention can comprise other assembly, so considers the principle that explanation is simplified, and is omitted in this embodiment without directly related assembly with the present invention.
Reservoir 11 in order to store several with reference to several of electrical equipment 5 with reference to power information 20.In the present embodiment, these can be by power information acquisition device 13 after several be with reference to electrical equipment 5 acquisition with reference to power information 20 with reference to these of electrical equipment 5, and the indication of treated device 15 is stored in reservoir 11; Also can directly be 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 wherein that in order to capture a power information 22 to be measured for the treatment of electricity measurer 3 electricity measurer 3 and these belong to same type with reference to electrical equipment 5.For example, treat that electricity measurer 3 and these can be any electronic installations that TV, refrigerator, desk lamp, micro-wave oven, baking box, washing machine, air conditioner etc. need power supply with reference to electrical equipment 5.
How relevant electricity exception arrangement for detecting of the present invention 1 treats that with reference to power information 20 judgements electricity measurer 3 abnormals will be further described below according to these in reservoir 11.At first, the processor 15 of electricity exception arrangement for detecting 1 can be in response to the type for the treatment of electricity measurer 3 or according to user's definition, define several different parameters of electric power types, wherein these parameters of electric power types are limited but can comprise that electric switch number of times in power consumption, electrical equipment opening time, electrical equipment shut-in time, electricity consumption duration, a hour, electrical equipment are opened the number of times that surpasses one minute, in the week, electrical equipment uses T.T. etc. type.Must the expositor, this area tool usually know the knowledgeable should according to the above-mentioned type think easily and how different parameters of electric power type to agree with the dissimilar or user's who treats electricity measurer 3 different definition.
Processor 15 is more according to these parameters of electric power types, set up several from these with reference to power information 20 and set up an electric power event 22a to be measured with reference to electric power event 20a and from this power information 22 to be measured, wherein each all comprises these identical parameters of electric power types with reference to electric power event 20a and electric power event 22a to be measured.For example, if these parameters of electric power types comprise power consumption and electrical equipment opening time, each electric power event that is formed by power consumption and electrical equipment opening time with reference to electric power event 20a and electric power event 22a to be measured; If these parameters of electric power types comprise electrical equipment shut-in time and electricity consumption duration, each electric power event that is formed by electrical equipment shut-in time and electricity consumption duration with reference to electric power event 20a and electric power event 22a to be measured.
Processor 15 is set up several with reference to electric power sample 20b from these with reference to electric power event 20a more according to these parameters of electric power types.In the present embodiment, the mode of setting up of these electric power samples 20b defines several parameters of electric power mobility scales by processor 15 according to these parameters of electric power types, and according to these parameters of electric power mobility scales classify these with reference to electric power event 20a to set up these electric power samples 20b.Yet, in other embodiment, also can take alternate manner to set up several with reference to electric power sample 20b from these with reference to electric power event 20a, be not limited to the described mode of the present embodiment.
Further, suppose that these parameters of electric power types comprise power consumption and electrical equipment opening time, and processor 15 defines respectively power consumption and electrical equipment open-interval parameters of electric power mobility scale is 50 watts and 20 minutes, and these power consumption differences each other with reference to electric power event 20a will be classified as one group in 50 watts; And these electrical equipment opening time differences each other with reference to electric power event 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 be consulted exemplary illustrating described later.
Processor 15 more calculates each with reference to the one first parameters of electric power distribution 20c of electric power sample 20b, and in conjunction with electric power event 22a to be measured to each with reference to electric power sample 20b after, calculate each with reference to the one second parameters of electric power distribution 20d of electric power sample 20b.Then, processor 15 calculates respectively each with reference to the first parameters of electric power distribution 20c of electric power sample 20b and the difference between the second parameters of electric power distribution 20d, and treats whether abnormal of electricity measurer 3 according to these diversity judgements.
In the present embodiment, side-play amount 44 judgements between the Second principal component, direction 42 that processor 15 distributes according to the first principal component direction 40 of each the first parameters of electric power distribution 20c and this second parameters of electric power treat that whether abnormal occurs electricity measurer 3.In addition, processor 15 more defines a divergence threshold value, and when this difference surpassed this divergence threshold value, electricity measurer 3 abnormals were treated in judgement.Must the expositor, in other embodiment, processor 15 also can be treated whether abnormal of electricity measurer 3 according to the alternate manner judgement, is not limited to the described judgment mode of the present embodiment.For example, processor 15 can be set up a parameters of electric power covering scope according to each the first parameters of electric power distribution 20c, and whether is positioned at this parameters of electric power covering scope according to electric power event 22a to be measured, and whether abnormal of electricity measurer 3 is treated in judgement.
Based on the ins and outs of part electrical equipment or user's peculiar electricity consumption behavior, each may belong to normally with reference to the first parameters of electric power distribution 20c of electric power sample 20b and the difference between the second parameters of electric power distribution 20d, and then causes processor 15 erroneous judgements to treat electricity measurer 3 abnormals.For example, suppose that several treat that with reference to electrical equipment 5 and one electricity measurer 3 is all the electric fan that can set high wind, apoplexy and weak three kinds of patterns of wind, 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 with reference to several information that capture under weak wind pattern with reference to power information 20 of electrical equipment 5, and during the information that captures under the high wind pattern until the power information to be measured 22 of electricity measurer 3, the power consumption difference that processor 15 will cause because of weak wind pattern and high wind pattern, electricity measurer 3 abnormals are treated in erroneous judgement.
In order to reduce the probability of processor 15 erroneous judgements, 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.Particularly, processor 15 is when defining these parameters of electric power types, and defining simultaneously 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.Because having one, interval type parameters of electric power type tolerates the interval, so that can 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 that several treat that with reference to electrical equipment 5 and one electricity measurer 3 is all the electric fan that can set high wind, apoplexy and weak three kinds of patterns of wind, wherein the power consumption of high wind, apoplexy and weak wind is respectively 100 watts, 50 watts and 25 watts.Processor 15 is as long as setting the tolerance interval of power consumption is 25 watts to 100 watts, treat electricity measurer 3 will be not can be because of the difference of the pattern of use, and be mistaken for abnormal by processor 15.
Needing the expositor, is not that all parameters of electric power types all can be set as interval type parameters of electric power type.Parameters of electric power types such as electrical equipment opening time or electrical equipment shut-in time, because itself not having the above-mentioned ins and outs as power consumption or electricity consumption duration, if be the interval type parameters of electric power therefore be set, can because of too loose criterion, cause processor 15 judgements to treat that the accuracy rate of electricity measurer 3 abnormals reduces on the contrary.
How to judge and treat electricity measurer 3 abnormals in order more to offer some clarification on electricity exception arrangement for detecting 1 of the present invention, will via one exemplary illustrate as follows.Must the expositor, what this was exemplary is not to limit the present invention only mode as described to operate for example, and limits only unrestricted the present invention in order to explanation in exemplary all that suppose in for example.
In this example, suppose to have four with reference to electrical equipment, be respectively with reference to electrical equipment 51, with reference to electrical equipment 52, with reference to electrical equipment 53 and with reference to electrical equipment 54 (following general designation is with reference to electrical equipment 51-54), and one is treated electricity measurer 3.Processor 15 has defined four parameters of electric power types, be respectively power consumption (wattage), electrical equipment opening time, electrical equipment shut-in time and electricity consumption duration (minute).Processor is according to these four parameters of electric power types, set up four with reference to electric power event 20a from described four with reference to electrical equipment 51-54 four with reference to power information 20 respectively, namely set up with reference to electric power event 20a-1, with reference to electric power event 20a-2, with reference to electric power event 20a-3 and with reference to electric power event 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 electric power event 20a-1:{550,07:05,07:30,25}
With reference to electric power event 20a-2:{600,07:15,07:45,30}
With reference to electric power event 20a-3:{650,07:20,07:35,15}
With reference to electric power event 20a-4:{625,08:00,09:00,60}
Based on above-mentioned hypothesis, the parameters of electric power mobility scale that processor 15 more defines power consumption, electrical equipment opening time, electrical equipment shut-in time, electricity consumption duration is 25 watts, 15 minutes, 5 minutes and 15 minutes.Then, processor 15 is classified with reference to electric power event 20a to above-mentioned four according to above-mentioned four electronic scopes of parameters of electric power.
Particularly, due to reference electric power event 20a-2 and with reference to the power consumption difference of electric power event 20a-4 in 25 watts, therefore the power consumption grouping classifies as same group with reference electrical equipment 52 and with reference to electrical equipment 54, and respectively do for oneself one group with reference to electrical equipment 51 and with reference to electrical equipment 53.Due to the electrical equipment of reference electric power event 20a-1, with reference to electric power event 20a-2 and with reference to the electrical equipment opening time difference of electric power event 20a-3 in 15 minutes, therefore electrical equipment opening time grouping is with reference electrical equipment 51, classify as same group with reference to electrical equipment 52 and with reference to electrical equipment 53, and do for oneself one group with reference to electrical equipment 54.
Due to reference electric power event 20a-1 and with reference to the electrical equipment shut-in time difference of electric power event 20a-3 in 20 minutes, therefore the grouping of electrical equipment shut-in time classifies as same group with reference electrical equipment 51 and with reference to electrical equipment 53, and respectively does for oneself one group with reference to electrical equipment 52 and with reference to electrical equipment 54.Due to reference electric power event 20a-1, with reference to electric power event 20a-2 and with reference to the electricity consumption duration difference of electric power event 20a-3 in 10 minutes, therefore electricity consumption duration grouping is with reference electrical equipment 51, classify as same group with reference to electrical equipment 52 and with reference to electrical equipment 53, and do for oneself one group with reference to electrical equipment 54.
In then own demand grouping of processor 15, 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, to set up several with reference to electric power sample 20b.Based on the explanation simplification principle, below will be with going on to say with reference to electric power sample 20b:{600~625,07:05~07:20,07:30~07:35,15~30} wherein, and this area tool knows that usually the knowledgeable can think with reference to electric power sample 20b according to this and unaccounted other enforcement aspect with reference to electric power sample 20b easily.
Below explanation sees also Fig. 2 A and Fig. 2 B, and wherein Fig. 2 A and Fig. 2 B are the schematic diagram with reference to the one first parameters of electric power distribution 20c of electric power sample 20b of the first embodiment.Particularly, Fig. 2 A describes 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 the two-dimensional space parameters of electric power distribution plan of above-mentioned electrical equipment shut-in time with reference to electric power sample 20b and electricity consumption duration, therefore be above-mentioned the first parameters of electric power distribution 20c with reference to electric power sample 20b in conjunction with Fig. 2 A and Fig. 2 B.
As shown in Fig. 2 A, above-mentioned power consumption and the electrical equipment opening time with reference to electric power sample 20b has a first principal component direction 40a, and wherein first principal component direction 40a is in order to represent the main variation direction of above-mentioned power consumption with reference to electric power sample 20b and electrical equipment open-interval one.In addition, as shown in Fig. 2 B, above-mentioned electrical equipment shut-in time and the electricity consumption duration with reference to electric power sample 20b has a first principal component direction 40a, and first principal component direction 40b is in order to represent the main variation direction of above-mentioned electrical equipment shut-in time with reference to electric power sample 20b and electricity consumption duration.In four-dimentional space, can learn the first principal component direction 40 of above-mentioned the first parameters of electric power distribution 20c with reference to electric power sample 20b in conjunction with first principal component direction 40a and first principal component direction 40b.
Due to the above-mentioned distribution that belongs to a four-dimentional space parameters of electric power with reference to the first parameters of electric power distribution 20c of electric power sample 20b, and because four-dimentional space is difficult to use diagrammatic representation, thus following will be only with power consumption and electrical equipment open-interval one two-dimensional space parameters of electric power distribution plan as follow-up explanation.Yet this area tool is known the knowledgeable usually, should be easily via the explanation of two-dimensional space parameters of electric power distribution plan, think easily and the distribution of the four-dimentional space parameters of electric power of above-mentioned the first parameters of electric power distribution 20c with reference to electric power sample 20b.
Below will how to calculate difference between the first parameters of electric power distribution 20c and the second parameters of electric power distribution 20d via Fig. 3 A explanation processor 15, wherein Fig. 3 A is the two-dimensional space schematic diagram with reference to the one second parameters of electric power distribution 20d of electric power sample 20b of the first embodiment.As shown in Figure 3A, when in conjunction with power consumption be 650 watts and electrical equipment opening time be 07:05 electric power event 22a to be measured to above-mentioned with reference to electric power sample 20b after, original above-mentioned power consumption and electrical equipment open-interval one first principal component direction 40a with reference to electric power sample 20b will produce because of adding of electric power event 22a to be measured a skew 44a.At this moment, above-mentioned power consumption and electrical equipment open-interval one first principal component direction 40a with reference to electric power sample 20b 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 equally whether produce a skew 44b between first principal component direction 40b and Second principal component, direction 42b.In four-dimentional space, can obtain skew between first principal component direction 40 and Second principal component, direction 42 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 demonstrated 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 first parameters of electric power with reference to electric power sample 20b distribute and this second parameters of electric power distributes.In the present embodiment, processor 15 more defines a divergence threshold value, and the difference between first principal component direction 40 and Second principal component, direction 42 is when surpassing this divergence threshold value, and electricity measurer 3 abnormals are treated in judgement.
Particularly, if the difference that the first parameters of electric power distributes and this second parameters of electric power distributes with reference to electric power sample 20b does not surpass this divergence threshold value, processor 15 will calculate the next difference that the first parameters of electric power distributes and this second parameters of electric power distributes with reference to electric power sample 20b, and judge whether this difference surpasses this divergence threshold value, until all have been calculated with reference to the difference that the first parameters of electric power distributes and this second parameters of electric power distributes of electric power sample 20b.If all differences that the first parameters of electric power distributes and this second parameters of electric power distributes with reference to electric power sample 20b all surpass this divergence threshold value, expression treats that the electricity consumption behavior of electricity measurer 3 is neither identical with several electricity consumption behaviors with reference to electrical equipment.In other words, this moment, processor 15 was treated electricity measurer 3 abnormals with judgement.
The processor 15 of the present embodiment is via the inner product value that calculates 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, represents that this difference is larger otherwise inner product value is less.Yet 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 subject to the form of the described inner product of the present embodiment.
Below will be via Fig. 3 B, further illustrate interval type parameters of electric power type for the impact of 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 the two-dimensional space schematic diagram with reference to another the second parameters of electric power distribution 20d of 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 being 550 watts to 650 watts and electrical equipment opening time is that the electric power event 22a to be measured of 07:05 is to above-mentioned during with reference to electric power sample 20b, original above-mentioned power consumption and electrical equipment open-interval one first principal component direction 40a with reference to electric power sample 20b will can not produce because of adding of electric power event 22a to be measured skew.At this moment, above-mentioned power consumption and electrical equipment open-interval one first principal component direction 40a with reference to electric power sample 20b is identical with Second principal component, direction 42a, and namely first principal component direction 40a can't change because of adding of electric power event 22a to be measured.
Similarly, based on the explanation of above-mentioned Fig. 3 B, this area tool knows that usually the knowledgeable should think easily and how interval type parameters of electric power type impacts for the first principal component direction 40b of electrical equipment shut-in time and electricity consumption duration and the skew 44b between Second principal component, direction 42b.
Via above-mentioned exemplary illustrating, this area tool knows that usually the knowledgeable should understand technical characterictic of the present invention fully, simultaneously can be according to above-mentioned exemplary illustrating, think easily and relevant to the technology of the present invention but undeclared in upper other enforcement aspect.
The second embodiment of the present invention is a kind of electricity exception method for detecting for an electricity exception arrangement for detecting.This electricity exception arrangement for detecting comprises a reservoir, a power information acquisition device and an electrically connect to the processor of this reservoir and this power information acquisition device.Particularly, this electricity exception arrangement for detecting can be the first described electricity exception arrangement for detecting 1 of embodiment, and this reservoir, this power information acquisition device and this processor can correspond to the first described reservoir 11 of embodiment, power information acquisition device 13 and processor 15.The explanation of relevant the present embodiment sees also Fig. 4 A and Fig. 4 B, and wherein Fig. 4 A and Fig. 4 B are a process flow diagram of the second embodiment of the present invention.
As shown in Fig. 4 A and Fig. 4 B, in step S21, make this reservoir store several with reference to several of electrical equipment with reference to power information.In step S22, make this power information acquisition device acquisition one treat a power information to be measured of electricity measurer, wherein this treats that electricity measurer and these belong to same type with reference to electrical equipment.In step S23, make this processor define several parameters of electric power types.After execution in step S23, execution in 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, so that reduce this difference that respectively this first parameters of electric power distributes and this second parameters of electric power distributes.Must the expositor, step S231 is a step optionally, 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 from these with reference to power information and set up an electric power event to be measured with reference to the electric power event and from this power information to be measured.In step S25, make this processor according to these parameters of electric power types, from these with reference to the electric power event establishment several with reference to the electric power sample.When execution in step S25, execution in step S251 simultaneously, make this processor according to these parameters of electric power types, define several parameters of electric power mobility scales, and according to these parameters of electric power mobility scales classify these with reference to the electric power event to set up several with reference to the electric power sample.Must the expositor, step S251 is a step optionally, therefore in other embodiment, step S251 can omit and not affect the present invention.
In step S26, making this processor calculate respectively should distribute with reference to one first parameters of electric power of electric power sample.In step S27, make this processor extremely respectively be somebody's turn to do with reference to the electric power sample in conjunction with this electric power event to be measured, and calculate respectively and should distribute with reference to one second parameters of electric power of electric power sample.In step S28, make this processor calculate respectively the difference that respectively this first parameters of electric power distributes and this second parameters of electric power distributes.When execution in step S28, execution in step S281 simultaneously makes the side-play amount between the Second principal component, direction that a first principal component direction that this processor distributes according to this first parameters of electric power respectively and this second parameters of electric power distribute calculate this difference.Must the expositor, step S281 is a step optionally, 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 the electricity measurer abnormal.When execution in step S29, simultaneously execution in step S291, make this processor define a divergence threshold value, and judge that when this difference surpasses this divergence threshold value this treats the electricity measurer abnormal.Must the expositor, step S291 is a step optionally, therefore in other embodiment, step S291 can omit and not affect the present invention.
Except above-mentioned steps, the second embodiment also can carry out the first described all operations of embodiment and function, under technical field have usually know the knowledgeable can be directly acquainted with the second embodiment how based on above-mentioned the first embodiment to carry out these operations and function, therefore do not give unnecessary details.
In sum, electricity exception arrangement for detecting of the present invention and electricity exception method for detecting thereof via the power information of collecting same type electrical equipment to set up the reference power information sample of electrical equipment out of the ordinary.Because the user has similar electricity consumption behavior for identical electrical equipment, therefore the reference power information sample according to the electrical equipment out of the ordinary that power information is set up of same type electrical equipment, not only have reliable accuracy, also avoided simultaneously the collection process of tediously long and loaded down with trivial details historical power information.Accordingly, electricity exception arrangement for detecting of the present invention and electricity exception method for detecting thereof are must can set up accurate disappearance with reference to the power information sample by tediously long and loaded down with trivial details historical power information collection process for effectively improving traditional electricity exception method for detecting.
The above embodiments only are used for exemplifying enforcement of the present invention aspect, and explain technical characterictic of the present invention, are not to limit protection category of the present invention.Any be familiar with this operator can unlabored change or the arrangement of isotropism 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. an electricity exception arrangement for detecting, is characterized in that, comprises:
One reservoir, in order to store several with reference to several of electrical equipment with reference to power information;
One power information acquisition device, in order to capturing a power information to be measured for the treatment of electricity measurer, this treats that electricity measurer and these belong to same type with reference to electrical equipment; And
One processor, electrically connect be to this power information acquisition device and this reservoir, and in order to carry out following operation:
Define several parameters of electric power types;
According to these parameters of electric power types, set up several from these with reference to power information and set up an electric power event to be measured with reference to the electric power event and from this power information to be measured;
According to these parameters of electric power types, from these with reference to the electric power event establishment several with reference to the electric power sample;
Calculate respectively and should distribute with reference to one first parameters of electric power of electric power sample;
Extremely respectively be somebody's turn to do with reference to the electric power sample in conjunction with this electric power event to be measured, and calculate respectively and should distribute with reference to one second parameters of electric power of electric power sample;
Calculate respectively the difference that respectively this first parameters of electric power distributes and this second parameters of electric power distributes; And
According to these difference, judge that this treats the electricity measurer abnormal.
2. electricity exception arrangement for detecting 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, so that reduce this difference that respectively this first parameters of electric power distributes and this second parameters of electric power distributes.
3. electricity exception arrangement for detecting as claimed in claim 1, it is characterized in that, this processor defines several parameters of electric power mobility scales according to these parameters of electric power types, and according to these parameters of electric power mobility scales classify these with reference to the electric power event to set up these with reference to the electric power sample.
4. electricity exception arrangement for detecting as claimed in claim 1, is characterized in that, the side-play amount between the Second principal component, direction that the first principal component direction that this processor distributes according to this first parameters of electric power respectively and this second parameters of electric power distribute is calculated this difference.
5. electricity exception arrangement for detecting as claimed in claim 1, is characterized in that, this processor more defines a divergence threshold value, and judge that when this difference surpasses this divergence threshold value this treats the electricity measurer abnormal.
6. electricity exception arrangement for detecting as claimed in claim 1, 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. electricity exception method for detecting that is used for an electricity exception arrangement for detecting, it is characterized in that, this electricity exception arrangement for detecting comprises a reservoir, a power information acquisition device and an electrically connect to the processor of this reservoir and this power information acquisition device, and this electricity exception method for detecting comprises the following step:
(a) make this reservoir store several with reference to several of electrical equipment with reference to power information;
(b) make this power information acquisition device acquisition one treat a power information to be measured of electricity measurer, this treats that electricity measurer and these belong to same type with reference to electrical equipment;
(c) make this processor define several parameters of electric power types;
(d) make this processor according to these parameters of electric power types, set up several from these with reference to power information and set up an electric power event to be measured with reference to the electric power event and from this power information to be measured;
(e) make this processor according to these parameters of electric power types, from these with reference to the electric power event establishment several with reference to the electric power sample;
(f) making this processor calculate respectively should distribute with reference to one first parameters of electric power of electric power sample;
(g) make this processor extremely respectively be somebody's turn to do with reference to the electric power sample in conjunction with this electric power event to be measured, and calculate respectively and should distribute with reference to one second parameters of electric power of electric power sample;
(h) make this processor calculate respectively the difference that respectively this first parameters of electric power distributes and this second parameters of electric power distributes; And
(i) make this processor according to these difference, judge that this treats the electricity measurer abnormal.
8. electricity exception method for detecting as claimed in claim 7, 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, so that reduce 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, is characterized in that, this step (e) more comprises the following step:
(e1) make this processor define several parameters of electric power mobility scales according to these parameters of electric power types, and according to these parameters of electric power mobility scales classify these with reference to the electric power event to set up these with reference to the electric power sample.
10. electricity exception method for detecting as claimed in claim 7, is characterized in that, this step (h) more comprises the following step:
(h1) make the side-play amount between the Second principal component, direction that a first principal component direction that this processor distributes according to this first parameters of electric power respectively and this second parameters of electric power distribute calculate this difference.
11. electricity exception method for detecting as claimed in claim 7 is characterized in that, this step (i) more comprises the following step:
(i1) make this processor define a divergence threshold value, and judge that when this difference surpasses this divergence threshold value this treats the electricity measurer abnormal.
12. electricity exception method for detecting as claimed in claim 7 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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CN108132646A (en) * 2016-12-01 2018-06-08 财团法人资讯工业策进会 Machining parameter adjustment system and machining parameter adjustment method
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CN102072976A (en) * 2009-11-23 2011-05-25 财团法人资讯工业策进会 Method and system for identifying electrical appliance state

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CN105354580A (en) * 2015-11-09 2016-02-24 中国农业大学 Machine vision based oriental migratory locust image feature extraction method
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CN108132646A (en) * 2016-12-01 2018-06-08 财团法人资讯工业策进会 Machining parameter adjustment system and machining parameter adjustment method
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