CN105608638A - Method and system for evaluating synchronous state of meter code data of intelligent terminal and electric energy meter - Google Patents
Method and system for evaluating synchronous state of meter code data of intelligent terminal and electric energy meter Download PDFInfo
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Abstract
The invention discloses a method for evaluating the synchronous state of meter code data of an intelligent terminal and an electric energy meter, which comprises the following steps: acquiring all meter data collected by the intelligent terminal and the electric energy meter within a preset time from the data master station, and preprocessing the meter data; performing valuing processing and XOR processing according to the existence condition of the table data at the integral point moment; performing clustering analysis on the XOR-processed surface code data by adopting a K-means clustering algorithm to obtain a clustering result; and evaluating the synchronous state of the meter code data of the intelligent terminal and the electric energy meter according to the clustering result. Compared with the prior art, the method can find the difference between the electric energy meter in the metering automation system and the data acquired by the intelligent terminal in time, so that the operation state of the power grid is integrally known, the operation and maintenance level of the acquisition terminal is improved, the integrity rate of the terminal is improved, and the method is an effective application of data mining and machine learning in the power grid data. The invention also discloses a system.
Description
Technical field
The present invention relates to power information technical field, relate in particular to a kind of table code data of evaluating intelligent terminal and electric energy meter withThe method of step state and system thereof.
Background technology
Data are to organize one of most valuable assets. Between the quality of data of enterprise and Professional performance, exist directSystem, high-quality data can make company keep competitiveness and establish oneself in an unassailable position period in economic turmoil. Have generalThe deep quality of data, enterprise at any time can trust all data that meet all demands.
In intelligent grid, the factor that affects electric power data quality mainly comprises data integrity and data accuracy. ItsIn, Data Integrality Restriction comprises entity integrity constraint, referential integrity constraints, functional dependence constraint, statistics approximatelyRestraint four classes. And metering automation terminal in intelligent grid conventionally can occur communication failure and writing time misalignment etc. askTopic, these problems are directly reacted for data record disappearance and are retrained not strict in data center. Based on this, be necessaryThe electric energy scale code data that research metering automation intelligent terminal and energy meter terminal collect is lacking in synchronismOverall trend, thus operation of power networks state is had to an overall understanding, promote the O&M level of acquisition terminal, improveTerminal percentage of head rice.
Summary of the invention
Technical problem to be solved by this invention is: a kind of table code data synchronous regime of evaluating intelligent terminal and electric energy meter is providedMethod and system thereof, to analyze the running status of intelligent terminal and electric energy meter and the uniformity of transfer of data, be beneficial to O&M workGrasp metering automation system end running status as personnel, promote O&M level and the terminal data percentage of head rice of acquisition terminal.
For solving the problems of the technologies described above, the technical solution used in the present invention is as follows:
A kind of method that table code data synchronous regime of evaluating intelligent terminal and electric energy meter is provided, comprises step:
Obtain from data main website all table code datas that in a Preset Time, intelligent terminal and electric energy meter gather, and his-and-hers watchesCode data carries out pretreatment;
There is situation in what engrave when the integral point according to table code data, pretreated table code data is gone to value processing;
To going value two parts of table code datas after treatment to carry out XOR processing;
Adopt K-means clustering algorithm to carry out cluster analysis to XOR table code data after treatment, to obtain cluster result;
Evaluate the synchronous regime of the table code data of intelligent terminal and electric energy meter according to cluster result.
Compared with prior art, the method first obtains in a Preset Time from data main website that intelligent terminal and electric energy meter gatherAll table code datas, and it is carried out pretreatment and goes value processing, afterwards two piece of data are carried out to XOR processing to integrate numberAccording to, then the K-means clustering algorithm (being KMEANS algorithm) in employing and study thereof carries out cluster to data after treatmentAnalyze, finally according to cluster analysis result, the table code data of intelligent terminal and electric energy meter is carried out the overall evaluation of synchronous regime;The method can be found electric energy meter in metering automation system and the difference of intelligent terminal image data in time, thereby to electrical networkRunning status has an overall understanding, has promoted the O&M level of acquisition terminal, has improved terminal percentage of head rice, and the methodBe data mining and the machine learning effective application in electric network data, the lifting of the quality of data is had to certain directive significance.
Correspondingly, the present invention also provides a kind of system of the table code data synchronous regime of evaluating intelligent terminal and electric energy meter, bagDraw together:
Acquisition module, for obtaining all tables that in a Preset Time, intelligent terminal and electric energy meter gather from data main websiteCode data, and his-and-hers watches code data carries out pretreatment;
Go value processing module, for the situation that exists engraving when the integral point according to table code data, to pretreated tableCode data goes value processing;
XOR processing module, for to going value table code data after treatment to carry out XOR processing;
Analysis module, for adopting K-means clustering algorithm to carry out cluster analysis to XOR table code data after treatment, withObtain cluster result;
Evaluation module, for evaluating the synchronous regime of the table code data of intelligent terminal and electric energy meter according to cluster result.
Brief description of the drawings
Fig. 1 is the main flow chart that the present invention evaluates the method for the table code data synchronous regime of intelligent terminal and electric energy meter.
Fig. 2 is the flow chart of the inventive method one embodiment.
Fig. 3 is the sub-process figure of step S207 in Fig. 2.
Fig. 4 is the structured flowchart that the present invention evaluates the system of the table code data synchronous regime of intelligent terminal and electric energy meter.
Fig. 5 installs 300 structured flowchart in Fig. 4.
Fig. 6 is the structured flowchart of analysis module in Fig. 5.
Detailed description of the invention
With reference now to accompanying drawing, describe embodiments of the invention, in accompanying drawing, similarly element numbers represents similar element.
Please refer to Fig. 1, the present invention evaluates the method for the table code data synchronous regime of intelligent terminal and electric energy meter, comprising:
S101, obtains from data main website all table code datas that in a Preset Time, intelligent terminal and electric energy meter gather,And his-and-hers watches code data carries out pretreatment;
S102, there is situation in what engrave when the integral point according to table code data, to pretreated table code data value of goingChange and process;
S103, to going value two parts of table code datas after treatment to carry out XOR processing;
S104, adopts K-means clustering algorithm to carry out cluster analysis to XOR table code data after treatment, to obtain clusterResult;
S105, according to the synchronous regime of the table code data of cluster result evaluation intelligent terminal and electric energy meter.
Please refer to Fig. 2, in a preferred embodiment of the present invention, the method specifically comprises again:
S201, gathers respectively the table code data in integral point moment, i.e. intelligent terminal and electric energy by intelligent terminal and electric energy meterThe frequency of table acquisition tables code data be 1h once.
S202, the table code data that electric energy meter gathers passes through 485 bus transfer to intelligent terminal.
S203, intelligent terminal transfers to data main website by two parts of table code datas by GPRS network; Particularly, intelligent terminalComprise signal transmission module, the data of these two parts of redundancies that transmission comes with electric energy meter that self can be collected are passed through in the lumpGPRS mobile network is transferred to data main website. It should be noted that, when hardware damage, SIM fault, 485 stipulations mistakes occurWhen the software and hardware problems such as mistake, no signal, just can there is disappearance or corrupted data in table code data to the main website that transmission collects.And the table code data that is sent to data main website has comprised the real-time power information of user, its particular content comprising is as table 1Show:
Table 1: table code data sample table
S204, obtains from data main website all table code datas that in a Preset Time, intelligent terminal and electric energy meter gather,And right, table code data carries out pretreatment; Particularly, obtain the same day on December 1st, 2014 from data main website allThe table code data that intelligent terminal and electric energy meter collect, judges whether the significant field of arbitrary table code data lacks,If lack, abandon this table code data and look this table code data for empty.
S205, there is situation in what engrave when the integral point according to table code data, pretreated table code data is gone to value placeReason; Particularly, the table code data of every part of intelligent terminal and electric energy meter exists according to its data in the corresponding integral point timeWhether, turn to the data format shown in table 2:
| POINTID | DATATIME | BM0 | BM1 | BM2 | … | BM21 | BM22 | BM23 |
| 54 | 2014/12/1 | 1 | 1 | 1 | … | 1 | 0 | 1 |
| 7782 | 2014/12/1 | 1 | 1 | 1 | … | 1 | 1 | 1 |
| 332208 | 2014/12/1 | 1 | 1 | 1 | … | 1 | 1 | 1 |
Table 2: evaluation model data decimation
Wherein POINTID represents the data point numbering of intelligent terminal or electric energy meter, BM0, BM1 ..., BM23 respectivelyRepresentative data 0 moment, 1 moment ..., 23 moment data whether exist, if there is mark in dataBe 1, otherwise be labeled as 0.
S206, to going value two parts of described table code datas after treatment to carry out XOR processing; Particularly, will go value and arrangeTwo piece of data of the intelligent terminal of good form and electric energy meter are carried out XOR processing on corresponding time location, obtain as table 3The data of showing:
| FPOINTID | RIQI | XOR0 | XOR1 | … | XOR22 | XOR23 |
| 123348 | 2014/12/1 | 0 | 0 | … | 0 | 0 |
| 68217 | 2014/12/1 | 0 | 0 | … | 0 | 0 |
| 98922 | 2014/12/1 | 0 | 0 | … | 0 | 0 |
Table 3: evaluation model data configuration
Wherein POINTID represents the data point numbering of intelligent terminal, the DATATIME representative data time, be as the criterion with sky,XOR0, XOR1 ..., XOR23 represent respectively inter-related intelligent terminal and electric energy meter 0 moment, 1 moment ...,The XOR result of going the data after value in 23 moment, if the table code data of intelligent terminal and electric energy meter all lacks orAll exist and be labeled as 1, otherwise be labeled as 0.
S207, adopts K-means clustering algorithm to carry out cluster analysis to XOR described table code data after treatment, to obtainCluster result. The table code data of considering metering automation system acquisition does not have integrality mark, and need to be from originalTable picks out the difference of the data that intelligent terminal and electric energy meter collect in code data, therefore uses unsupervised machine learningModel is proper, and wherein K-means clustering algorithm can be grouped in same bunch by similar object and be easy to and realize,In mass data processing, there is application advantage. Wherein, K-means clustering algorithm concrete steps will be explained below.
S208, evaluates the synchronous regime of the table code data of described intelligent terminal and electric energy meter according to cluster result.
Particularly, please refer to Fig. 3, step S207 comprises:
S2071, sets multiple bunches, extracts arbitrary described table code data and this table code data is allocated in to arbitrary bunchIn;
S2072, the numerical value of K in set algorithm; Wherein, K is by the determine precision of described cluster result, if want to allow numberMore accurate according to result, can be the numerical value of the local K of increasing, in the present embodiment, get K=4;
S2073, determines the initial barycenter of K initial point as each bunch at random, according to remaining table code data and eachThe Euclidean distance of the initial barycenter of individual bunch, is assigned to remaining table code data in the most close bunch;
S2074, calculates the average of all table code datas in each bunch, and new barycenter using average as this bunch;
S2075, redistributes all table code datas according to new barycenter;
S2076, iteration S2074 and S2075 are until all described table code datas distribute no longer variation;
S2077, is all categorized into by all table code datas the classification that it should belong to.
Correspondingly, please refer to Fig. 4, the present invention also provides a kind of intelligent terminal of evaluating to synchronize with the table code data of electric energy meterThe system of state, this system comprises electric energy meter 100, intelligent terminal 200 and device 300, device 300 and data main website 400Connect. Wherein, electric energy meter 100 and intelligent terminal 200 are for gathering respectively the table code data in integral point moment, electric energy meterThe 100 table code datas that gather are by 485 bus transfer to intelligent terminal 200, and intelligent terminal 200 is by two parts of table codesData transfer to data main website 400 by GPRS network, and device 300 obtains table code data with complete from data main website 400Become to evaluate the evaluation of the table code data synchronous regime of intelligent terminal 200 and electric energy meter 100.
Please refer to Fig. 5, device 300 comprises again:
Acquisition module 30, for obtaining intelligent terminal 200 and electric energy meter 100 in a Preset Time from data main website 400The all table code datas that gather, and his-and-hers watches code data carries out pretreatment; Wherein, Preset Time is 24 hours.
Go value processing module 31, for the situation that exists engraving when the integral point according to table code data, to pretreatedTable code data goes value processing;
XOR processing module 32, for to going value table code data after treatment to carry out XOR processing;
Analysis module 33, for adopting K-means clustering algorithm to carry out cluster to XOR described table code data after treatmentAnalyze, to obtain cluster result;
Evaluation module 34, for evaluating the synchronous regime of the table code data of intelligent terminal and electric energy meter according to cluster result.
Particularly, acquisition module 30 specifically comprises:
Acquiring unit, for obtaining in a Preset Time 100 of intelligent terminals 200 and electric energy meter from data main website 400The all table code datas that gather;
Pretreatment unit, for judging whether the significant field of arbitrary table code data lacks and tie according to judgementFruit is abandoned this table code data and looks this table code data for empty.
Particularly, please refer to Fig. 6, analysis module 33 comprises:
Setup unit 331, for setting the numerical value of multiple bunches and algorithm K, wherein, K is by described cluster resultDetermine precision, and K=4;
Extraction unit 332, for extracting arbitrary table code data and this table code data being allocated in to arbitrary bunch;
Determining unit 333, the initial barycenter for random definite K initial point as each bunch;
The first allocation units 334, for inciting somebody to action according to the Euclidean distance of the initial barycenter of remaining table code data and each bunchRemaining table code data is assigned in the most close bunch;
Computing unit 335, for calculating the average of each bunch of all table code datas, and using average as this bunchNew barycenter;
The second allocation units 336, redistribute all table code datas according to new barycenter;
Iteration unit 337, for the data of iterative computation unit and the second allocation units 336 until all table codesData allocations no longer changes;
Taxon 338, for being all categorized into by all table code datas the classification that it should belong to.
As can be seen from the above description, method of the present invention and system thereof have the following advantages:
(1) electric energy data of electric energy meter and intelligent terminal being collected goes value operation, has obtained representing itWhether exist in corresponding temporal data, then treated data carried out to xor operation on corresponding time position,Finally use machine learning algorithm to carry out overall cluster to data, obtained the overall evaluation of data synchronous regimes;
(2) set up forecast model through strict reasoning from logic and experimental demonstration, can find in time metering automationThe difference of the electric energy meter in system and intelligent terminal image data, thus operation of power networks state is had to an overall understanding,The O&M level that has promoted acquisition terminal, has improved terminal percentage of head rice, and the method is that data mining and machine learning are at electrical networkEffective application in data, has certain directive significance to the lifting of the quality of data.
In conjunction with most preferred embodiment, invention has been described above, but the present invention is not limited to the enforcement of above announcementExample, and should contain the various amendments of carrying out according to essence of the present invention, equivalent combinations.
Claims (10)
1. a method of evaluating the table code data synchronous regime of intelligent terminal and electric energy meter, is characterized in that, comprises step:
Obtain from data main website all table code datas that in a Preset Time, intelligent terminal and electric energy meter gather, and to instituteState table code data and carry out pretreatment;
There is situation in what engrave when the integral point according to described table code data, pretreated described table code data is goneValue processing;
To going value two parts of described table code datas after treatment to carry out XOR processing;
Adopt K-means clustering algorithm to carry out cluster analysis to XOR described table code data after treatment, to obtain cluster knotReally;
Evaluate the synchronous regime of the table code data of described intelligent terminal and electric energy meter according to described cluster result.
2. the method for claim 1, is characterized in that, described Preset Time is 24 hours.
3. the method for claim 1, is characterized in that, described table code data is carried out to pretreatment and specifically comprise:
Whether the significant field that judges arbitrary described table code data lacks;
Abandon this table code data and look this table code data for empty according to judged result.
4. method as claimed in claim 3, is characterized in that, cluster analysis specifically comprises:
(1) set multiple bunches;
(2) extract arbitrary described table code data and this table code data is allocated in arbitrary described bunch;
(3) set the numerical value of K in described algorithm, wherein, K is by the determine precision of described cluster result, and K=4;
(4) determine at random the initial barycenter of K initial point as each bunch;
(5) according to the Euclidean distance of the initial barycenter of remaining described table code data and each bunch, described in remainingTable code data is assigned in the most close bunch;
(6) calculate the average of all described table code datas in each bunch, and new matter using described average as this bunchThe heart;
(7) redistribute all described table code datas according to described new barycenter;
(8) iteration (6) and (7) are until all described table code datas distribute no longer variation;
(9) all described table code datas are all categorized into the classification that it should belong to.
5. the method as described in claim 1-4 any one, is characterized in that, obtains described table code data and also wraps beforeDraw together:
Gather respectively the described table code data in described integral point moment by described intelligent terminal and electric energy meter;
The described table code data that described electric energy meter gathers is by extremely described intelligent terminal of 485 bus transfer;
Described intelligent terminal transfers to described data main website by two parts of described table code datas by GPRS network.
6. a system of evaluating the table code data synchronous regime of intelligent terminal and electric energy meter, is characterized in that, comprising:
Acquisition module, for obtaining all tables that in a Preset Time, intelligent terminal and electric energy meter gather from data main websiteCode data, and described table code data is carried out to pretreatment;
Go value processing module, for the situation that exists engraving when the integral point according to described table code data, after pretreatmentDescribed table code data go value processing;
XOR processing module, for to going value described table code data after treatment to carry out XOR processing;
Analysis module, for adopting K-means clustering algorithm to carry out cluster analysis to XOR described table code data after treatment,To obtain cluster result;
Evaluation module, for evaluating the synchronizeing of table code data of described intelligent terminal and electric energy meter according to described cluster resultState.
7. system as claimed in claim 6, is characterized in that, described Preset Time is 24 hours.
8. system as claimed in claim 6, is characterized in that, described acquisition module specifically comprises:
Acquiring unit, for obtaining all tables that in a Preset Time, intelligent terminal and electric energy meter gather from data main websiteCode data;
Pretreatment unit, for judging whether the significant field of arbitrary described table code data lacks, and according to sentencingDisconnected result is abandoned this table code data and is looked this table code data for empty.
9. system as claimed in claim 8, is characterized in that, described analysis module specifically comprises:
Setup unit, for setting the numerical value of multiple bunches and described algorithm K, wherein, K is by described cluster resultDetermine precision, and K=4;
Extraction unit, for extracting arbitrary described table code data and this table code data being allocated in to arbitrary described bunch;
Determining unit, the initial barycenter for random definite K initial point as each bunch;
The first allocation units, for inciting somebody to action according to the Euclidean distance of the initial barycenter of remaining described table code data and each bunchRemaining described table code data is assigned in the most close bunch;
Computing unit, for calculating the average of each bunch of all described table code datas, and using described average as thisBunch new barycenter;
The second allocation units, redistribute all described table code datas according to described new barycenter;
Iteration unit, for the data of computing unit described in iteration and described the second allocation units until described in allTable code data distributes no longer variation;
Taxon, for being all categorized into by all described table code datas the classification that it should belong to.
10. the system as described in claim 6-9 any one, is characterized in that, also comprises:
Described intelligent terminal, for gathering the described table code data in described integral point moment;
Described electric energy meter, for gathering the described table code data in described integral point moment;
Wherein, the described table code data that described electric energy meter gathers is by extremely described intelligent terminal of 485 bus transfer, instituteState intelligent terminal two parts of described table code datas are transferred to described data main website by GPRS network.
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