CN109217469A - Intelligent power distribution electrical energy monitoring system and working method - Google Patents
Intelligent power distribution electrical energy monitoring system and working method Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 21
- 238000000034 method Methods 0.000 title claims description 13
- 238000012545 processing Methods 0.000 claims abstract description 17
- 238000005265 energy consumption Methods 0.000 claims abstract description 9
- 230000035772 mutation Effects 0.000 claims abstract description 8
- 238000003909 pattern recognition Methods 0.000 claims abstract description 7
- 238000004422 calculation algorithm Methods 0.000 claims description 18
- PEDCQBHIVMGVHV-UHFFFAOYSA-N Glycerine Chemical compound OCC(O)CO PEDCQBHIVMGVHV-UHFFFAOYSA-N 0.000 claims description 12
- 238000012417 linear regression Methods 0.000 claims description 3
- 238000011156 evaluation Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000002650 habitual effect Effects 0.000 description 1
- 238000005065 mining Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000010606 normalization Methods 0.000 description 1
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Abstract
The present invention provides a kind of intelligent power distribution electrical energy monitoring system, including acquisition device, processing unit, prior-warning device, the acquisition device is electrically connected with processing unit, it is configured to according to the frequency acquisition of a setting to acquire with can value, the processing unit is based on Fuzzy Pattern Recognition Theory, it is integrated according to historical data to obtain the statistical indicator K (n) of n-th of use energy period on the day of by judge object, the processing unit is electrically connected with prior-warning device, the statistical indicator K (n) in response to acquisition is configured to beyond a given threshold, it generates an alarm command and is sent to prior-warning device；The prior-warning device sends a warning information to a setting user terminal in response to alarm command.The present invention can obtain energy consumption abrupt information with energy data in conjunction with history with that can measure object towards different, more efficiently and accurately identify energy consumption mutation.
Description
Technical field
The present invention relates to intelligent power distribution field, belong to a kind of intelligent power distribution electrical energy monitoring system and working method.
Background technique
Attention with country to energy-saving and emission-reduction, energy management systems at different levels and reducing energy consumption project start successively, are skill
Energy emission reduction provides data support and system service.But for the metering object of different type, different industries, different geographical,
How to judge that it, with that can be mutated, is a relatively difficult problem.
Currently, in existing energy consumption management system at different levels, for the judgement of uprushing with energy, substantially using simple
Absolute value or relative value judgment mode, this mode is for measuring the historical data of object using insufficient, and for meter
The habitual variation of amount object energy cannot be considered in terms of.
Summary of the invention
The purpose of the present invention is to provide a kind of intelligent power distribution electrical energy monitoring system and working methods, can be towards different
With object can be measured, energy consumption abrupt information is obtained with energy data in conjunction with history, more efficiently and accurately identifies energy consumption mutation.
In order to achieve the above objectives, the invention provides the following technical scheme:
A kind of intelligent power distribution electrical energy monitoring system, be suitable for needing to carry out energy consumption mutation judgement uses energy object, the intelligence
Energy power-distribution electric energy monitoring system includes acquisition device, processing unit, prior-warning device；
The acquisition device is electrically connected with processing unit, is configured to use energy according to the frequency acquisition of a setting to acquire
Value；
The frequency acquisition of the setting refers to,
As unit of one day, several each use with energy object judged with energy period, acquisition were divided by one day
The use of energy period can be worth；
The processing unit is based on Fuzzy Pattern Recognition Theory, comprehensive to obtain according to historical data using following formula
By the statistical indicator K (n) of judge object n-th of use energy period on the day of:
K (n)=(X (n)/X (n-1)) * (Y (n-1)/Y (n))
+(X(n)/X(day_n-1))*(Y(day_n-1)/Y(n))
+(X(n)/X(month_day_n-1))*(Y(month_day_n-1)/Y(n))
+(X(n)/X(year_month_day_n-1))*(Y(year_month_day_n-1)/Y(n))
Wherein, X (n) indicate the same day n-th with can the period use can be worth, X (n-1) indicate the same day (n-1) it is a use energy when
The use of section can be worth；
Y (n) indicate n-th of same day with can the period with can statistical indicator, Y (n-1) indicates the same day the (n-1) is a to use energy
Using for period can statistical indicator；
X (day_n-1) indicates that a use of energy period of (n-1) of the previous day can be worth, and Y (day_n-1) indicates the previous day
(n-1) it is a with can period with can statistical indicator；
X (month_day_n-1) indicates that a use of energy period of (n-1) of the same day of the previous moon can be worth, Y
(month_day_n-1) indicating that (n-1) of the same day of the previous moon is a uses using for energy period can statistical indicator；
The processing unit is electrically connected with prior-warning device, is configured to set in response to the statistical indicator K (n) of acquisition beyond one
Determine threshold value, generates an alarm command and be sent to prior-warning device；
The prior-warning device sends a warning information to a setting user terminal in response to alarm command.
System is monitored based on aforementioned intelligent power-distribution electric energy, the present invention further mentions a kind of work of intelligent power distribution electrical energy monitoring system
Make method, comprising:
Step 1 was divided into several with the energy period for one day；
Step 2, acquisition one can be worth by each of judge object use of energy period；
Step 3 is based on Fuzzy Pattern Recognition Theory, calculates by judge object on the day of n-th with energy according to following formula
The statistical indicator K (n) of period:
K (n)=(X (n)/X (n-1)) * (Y (n-1)/Y (n))
+(X(n)/X(day_n-1))*(Y(day_n-1)/Y(n))
+(X(n)/X(month_day_n-1))*(Y(month_day_n-1)/Y(n))
+(X(n)/X(year_month_day_n-1))*(Y(year_month_day_n-1)/Y(n))
Wherein, X (n) indicate the same day n-th with can the period use can be worth, X (n-1) indicate the same day (n-1) it is a use energy when
The use of section can be worth；
Y (n) indicate n-th of same day with can the period with can statistical indicator, Y (n-1) indicates the same day the (n-1) is a to use energy
Using for period can statistical indicator；
X (day_n-1) indicates that a use of energy period of (n-1) of the previous day can be worth, and Y (day_n-1) indicates the previous day
(n-1) it is a with can period with can statistical indicator；
X (month_day_n-1) indicates that a use of energy period of (n-1) of the same day of the previous moon can be worth, Y
(month_day_n-1) indicating that (n-1) of the same day of the previous moon is a uses using for energy period can statistical indicator；
Step 4, using Theory of Fuzzy Comprehensive, judge rank according to the historical data of statistical indicator K (n) is comprehensive to obtain
Ladder.
Further, in step 4, using expert's aid decision, rank is judged with that can be accustomed to obtain according to judge object
Ladder.
Further, in step 4, using historical data self-learning algorithm, ladder codomain is determined, to obtain judge ladder.
Further, in step 4, by adjusting time granularity, to adjust the judgment basis of Theory of Fuzzy Comprehensive.
Further, in step 3, the energy statistical indicator refers to, in the setting time depth before the period, leads to
The statistical value that counts that historical data self-learning algorithm is crossed to obtain.
Further, the historical data self-learning algorithm includes normal distribution algorithm, trend analysis algorithm, linear regression
Algorithm.
The beneficial effects of the present invention are:
1) value for sufficiently excavating historical data, according to the historical data of each metering object, to correct its calculation formula,
Give full play to the effect that historical data calculates mutation analysis.
It 2), should be the result is that a design factor, so that different meters using abstract calculated result as mutation judgment basis
The objective difference (can be such as accustomed to energy scale, use) for calculating object, no longer influences mutation judgement, the normalization with realization to result
Processing.
3) for calculated result, the ability of mining again and analysis is provided, is allowed in the range of more wide area,
The data of different type equipment are collected, and to analysis result perpendicular evaluation energy catastrophe.
The above description is only an overview of the technical scheme of the present invention, in order to better understand the technical means of the present invention,
And can be implemented in accordance with the contents of the specification, the following is a detailed description of the preferred embodiments of the present invention and the accompanying drawings.
Detailed description of the invention
Fig. 1 is the structure chart of intelligent power distribution electrical energy monitoring system of the invention.
Fig. 2 is the evaluation method flow chart of intelligent power distribution electrical energy monitoring system of the invention.
Specific embodiment
With reference to the accompanying drawings and examples, specific embodiments of the present invention will be described in further detail.Implement below
Example is not intended to limit the scope of the invention for illustrating the present invention.
In conjunction with Fig. 1, Fig. 2, the present invention refers to a kind of intelligent power distribution electrical energy monitoring system, is suitable for needing to carry out energy consumption mutation
Energy object is used in judgement, and the intelligent power distribution electrical energy monitoring system includes acquisition device 10, processing unit 20, prior-warning device 30.
The acquisition device 10 is electrically connected with processing unit 20, is configured to the frequency acquisition according to a setting to acquire use
It can value.
The frequency acquisition of the setting refers to,
As unit of one day, several each use with energy object judged with energy period, acquisition were divided by one day
The use of energy period can be worth.
Division uses the energy period more, and obtained evaluation result is more accurate.
The processing unit is based on Fuzzy Pattern Recognition Theory, comprehensive to obtain according to historical data using following formula
By the statistical indicator K (n) of judge object n-th of use energy period on the day of:
K (n)=(X (n)/X (n-1)) * (Y (n-1)/Y (n))
+(X(n)/X(day_n-1))*(Y(day_n-1)/Y(n))
+(X(n)/X(month_day_n-1))*(Y(month_day_n-1)/Y(n))
+(X(n)/X(year_month_day_n-1))*(Y(year_month_day_n-1)/Y(n))
Wherein, X (n) indicate the same day n-th with can the period use can be worth, X (n-1) indicate the same day (n-1) it is a use energy when
The use of section can be worth.
Y (n) indicate n-th of same day with can the period with can statistical indicator, Y (n-1) indicates the same day the (n-1) is a to use energy
Using for period can statistical indicator.
X (day_n-1) indicates that a use of energy period of (n-1) of the previous day can be worth, and Y (day_n-1) indicates the previous day
(n-1) it is a with can period with can statistical indicator.
X (month_day_n-1) indicates that a use of energy period of (n-1) of the same day of the previous moon can be worth, Y
(month_day_n-1) indicating that (n-1) of the same day of the previous moon is a uses using for energy period can statistical indicator.
The processing unit 20 is electrically connected with prior-warning device 30, is configured to surpass in response to the statistical indicator K (n) of acquisition
A given threshold out generates an alarm command and is sent to prior-warning device 30.
The prior-warning device 30 sends a warning information to a setting user terminal, such as mobile phone, pc in response to alarm command
End, tablet computer etc., the warning information of transmission can preset content, be also possible to the statistical indicator beyond given threshold
K (n) information.
System is monitored based on aforementioned intelligent power-distribution electric energy, the present invention further mentions a kind of work of intelligent power distribution electrical energy monitoring system
Make method, comprising:
Step 1 was divided into several with the energy period for one day.
Step 2, acquisition one can be worth by each of judge object use of energy period.
Step 3 is based on Fuzzy Pattern Recognition Theory, calculates by judge object on the day of n-th with energy according to following formula
The statistical indicator K (n) of period:
K (n)=(X (n)/X (n-1)) * (Y (n-1)/Y (n))
+(X(n)/X(day_n-1))*(Y(day_n-1)/Y(n))
+(X(n)/X(month_day_n-1))*(Y(month_day_n-1)/Y(n))
+(X(n)/X(year_month_day_n-1))*(Y(year_month_day_n-1)/Y(n))
Wherein, X (n) indicate the same day n-th with can the period use can be worth, X (n-1) indicate the same day (n-1) it is a use energy when
The use of section can be worth.
Y (n) indicate n-th of same day with can the period with can statistical indicator, Y (n-1) indicates the same day the (n-1) is a to use energy
Using for period can statistical indicator.
X (day_n-1) indicates that a use of energy period of (n-1) of the previous day can be worth, and Y (day_n-1) indicates the previous day
(n-1) it is a with can period with can statistical indicator.
X (month_day_n-1) indicates that a use of energy period of (n-1) of the same day of the previous moon can be worth, Y
(month_day_n-1) indicating that (n-1) of the same day of the previous moon is a uses using for energy period can statistical indicator.
Preferably, the energy statistical indicator refers to, in the setting time depth before the period, passes through historical data
Count statistical value of the self-learning algorithm to obtain.
The historical data self-learning algorithm includes normal distribution algorithm, trend analysis algorithm, linear regression algorithm.
Step 4, using Theory of Fuzzy Comprehensive, judge rank according to the historical data of statistical indicator K (n) is comprehensive to obtain
Ladder.
In some instances, using expert's aid decision as Theory of Fuzzy Comprehensive, energy is used according to judge object
Habit is to obtain judge ladder.
In other examples, using historical data self-learning algorithm as Theory of Fuzzy Comprehensive, step values are determined
Domain, to obtain judge ladder.
Further, by adjusting time granularity, to adjust the judgment basis of Theory of Fuzzy Comprehensive, to adapt to not
Same use, which can be worth, judges accuracy requirement.
Each technical characteristic of embodiment described above can be combined arbitrarily, for simplicity of description, not to above-mentioned reality
It applies all possible combination of each technical characteristic in example to be all described, as long as however, the combination of these technical characteristics is not deposited
In contradiction, all should be considered as described in this specification.
The embodiments described above only express several embodiments of the present invention, and the description thereof is more specific and detailed, but simultaneously
It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art
It says, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to protection of the invention
Range.Therefore, the scope of protection of the patent of the invention shall be subject to the appended claims.
Claims (7)
1. a kind of intelligent power distribution electrical energy monitoring system, be suitable for needing to carry out energy consumption mutation judgement uses energy object, and feature exists
In the intelligent power distribution electrical energy monitoring system includes acquisition device, processing unit, prior-warning device；
The acquisition device is electrically connected with processing unit, and being configured to can value to acquire use according to the frequency acquisition of a setting；
The frequency acquisition of the setting refers to,
As unit of one day, several were divided by one day and uses the energy period, when what acquisition was judged uses each of energy object to use energy
The use of section can be worth；
The processing unit is based on Fuzzy Pattern Recognition Theory, using following formula, is commented according to historical data is comprehensive with obtaining
Sentence object n-th of statistical indicator K (n) with the energy period on the day of:
K (n)=(X (n)/X (n-1)) * (Y (n-1)/Y (n))
+(X(n)/X(day_n-1))*(Y(day_n-1)/Y(n))
+(X(n)/X(month_day_n-1))*(Y(month_day_n-1)/Y(n))
+(X(n)/X(year_month_day_n-1))*(Y(year_month_day_n-1)/Y(n))
Wherein, X (n) indicate n-th of same day with can the use of period can be worth, X (n-1) indicates that the same day (n-1) a uses the energy period
With can be worth；
Y (n) indicate n-th of same day with can the period with can statistical indicator, Y (n-1) indicates that the same day (n-1) is a with can the period
With energy statistical indicator；
X (day_n-1) indicate (n-1) of the previous day it is a with can the use of period can be worth, the on the day before Y (day_n-1) expression
(n-1) a to use energy statistical indicator with the energy period；
X (month_day_n-1) indicates that a use of energy period of (n-1) of the same day of the previous moon can be worth, Y (month_
Day_n-1) indicating that (n-1) of the same day of the previous moon is a uses using for energy period can statistical indicator；
The processing unit is electrically connected with prior-warning device, is configured to the statistical indicator K (n) in response to acquisition beyond a setting threshold
Value generates an alarm command and is sent to prior-warning device；
The prior-warning device sends a warning information to a setting user terminal in response to alarm command.
2. a kind of working method of intelligent power distribution electrical energy monitoring system characterized by comprising
Step 1 was divided into several with the energy period for one day；
Step 2, acquisition one can be worth by each of judge object use of energy period；
Step 3 is based on Fuzzy Pattern Recognition Theory, uses the energy period n-th on the day of by judge object according to the calculating of following formula
Statistical indicator K (n):
K (n)=(X (n)/X (n-1)) * (Y (n-1)/Y (n))
+(X(n)/X(day_n-1))*(Y(day_n-1)/Y(n))
+(X(n)/X(month_day_n-1))*(Y(month_day_n-1)/Y(n))
+(X(n)/X(year_month_day_n-1))*(Y(year_month_day_n-1)/Y(n))
Wherein, X (n) indicate n-th of same day with can the use of period can be worth, X (n-1) indicates that the same day (n-1) a uses the energy period
With can be worth；
Y (n) indicate n-th of same day with can the period with can statistical indicator, Y (n-1) indicates that the same day (n-1) is a with can the period
With energy statistical indicator；
X (day_n-1) indicate (n-1) of the previous day it is a with can the use of period can be worth, the on the day before Y (day_n-1) expression
(n-1) a to use energy statistical indicator with the energy period；
X (month_day_n-1) indicates that a use of energy period of (n-1) of the same day of the previous moon can be worth, Y (month_
Day_n-1) indicating that (n-1) of the same day of the previous moon is a uses using for energy period can statistical indicator；
Step 4, using Theory of Fuzzy Comprehensive, it is comprehensive to obtain judge ladder according to the historical data of statistical indicator K (n).
3. the working method of intelligent power distribution electrical energy monitoring system according to claim 2, which is characterized in that in step 4, adopt
With expert's aid decision, according to judge object with can be accustomed to obtain judge ladder.
4. the working method of intelligent power distribution electrical energy monitoring system according to claim 2, which is characterized in that in step 4, adopt
With historical data self-learning algorithm, ladder codomain is determined, to obtain judge ladder.
5. the working method of intelligent power distribution electrical energy monitoring system according to claim 4, which is characterized in that in step 4, lead to
Adjustment time granularity is crossed, to adjust the judgment basis of Theory of Fuzzy Comprehensive.
6. the working method of intelligent power distribution electrical energy monitoring system according to claim 2, which is characterized in that in step 3, institute
It states and is referred to energy statistical indicator, in the setting time depth before the period, by historical data self-learning algorithm to obtain
The statistical value that counts.
7. the working method of intelligent power distribution electrical energy monitoring system according to claim 6, which is characterized in that the history number
It include normal distribution algorithm, trend analysis algorithm, linear regression algorithm according to self-learning algorithm.
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