CN111141950A - Method for judging and repairing time-sharing code abnormality of electric meter of metering automation system - Google Patents
Method for judging and repairing time-sharing code abnormality of electric meter of metering automation system Download PDFInfo
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Abstract
The invention provides a method for judging and repairing time-sharing table code abnormity of an electric meter of a metering automation system, which comprises the following steps: A. when the electric energy meter code is abnormally increased, judging that the electric energy meter has the problem of abnormal flying of the electric energy meter; B. when the meter code value at the later time point of the electric energy meter is smaller than the meter code value at the previous time point of the electric energy meter, judging that the electric energy meter has the problem of abnormal meter code reversing; C. when the number of the meter codes of the electric energy meter is not changed but the electric energy meter runs under a load, the problem that the meter codes are abnormal to stop is judged. The three abnormal conditions of electric energy meter flying away, meter code reversing away and meter code stopping away can be judged, and the meter code abnormity of various conditions can be effectively and accurately judged.
Description
Technical Field
The invention belongs to the technical field of electric energy data processing of an electric power system, and particularly relates to a method for judging and repairing time-sharing code abnormality of an electric meter of a metering automation system.
Background
The electric energy meter has the problems of data abnormity in the using process, so that the abnormal data conditions are various, and the prior art cannot accurately judge whether the acquired data of the electric energy meter is abnormal or not, cannot repair the abnormal data and can only process the missing data.
In addition, for the problem of electric energy data loss, due to the difference of environments of measuring points, data distribution of the measuring points may be completely different, and a very large difference may exist between a result obtained by applying the same set of parameters and a real value. Therefore, the research of a processing method for automatically performing automatic interpolation according to data distribution becomes a problem to be solved for online processing of electric energy data.
For example, chinese patent discloses a method for automatically processing a missing value of electric energy [ application No.: cn201510759560.x ], which takes into account that the user's power usage behavior over a period of time is always similar, such as during summer, the use of refrigeration equipment, etc. Meanwhile, considering the time gap effect of the electricity utilization rule, the data farther away from the missing value has smaller influence on the predicted point logically. However, the above-mentioned solution has a single processing method for the missing data, and cannot perform different processing methods for the missing data in different situations, so that the final processing result still has a large deviation.
Disclosure of Invention
The invention aims to solve the problems and provides a method for judging and repairing time-sharing code abnormality of an electric meter of a metering automation system.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for judging abnormity of a time-sharing code of an electric meter of a metering automation system comprises the following steps:
A. when the electric energy meter code is abnormally increased, judging that the electric energy meter has the problem of abnormal flying of the electric energy meter;
B. when the meter code value at the later time point of the electric energy meter is smaller than the meter code value at the previous time point of the electric energy meter, judging that the electric energy meter has the problem of abnormal meter code reversing;
C. when the number of the meter codes of the electric energy meter is not changed but the electric energy meter runs under a load, the problem that the meter codes are abnormal to stop is judged.
In the method a, for the special transformer user, if the following two conditions exist, it is determined that the electric energy meter has the problem of abnormal flying away of the electric energy meter:
1) the small forward active total electric quantity loop ratio is larger than a first threshold or smaller than a second threshold, and the calculation formula of the electric quantity loop ratio is as follows:
Ezx_yg=|BM_ZX_YG3-BM_ZX_YG2|/|BM_ZX_YG2-BM_ZX_YG1|;
2) the difference between the forward active summary table code at the later time point and the forward active summary table code at the previous time point is greater than a threshold value X, and the calculation formula is as follows:
table code difference BM _ ZX _ YG2-BM _ ZX _ YG 1;
wherein, BM _ ZX _ YG represents a forward active summary code, BM _ ZX _ YG1, BM _ ZX _ YG2, BM _ ZX _ YG3 represent different time point table codes respectively;
ezx _ yg represents the charge-to-loop ratio.
In the method a, if the following conditions exist for the power plant user, it is determined that the electric energy meter has the problem of abnormal flying away of the electric energy meter:
3) the small forward active total electric quantity loop ratio is larger than a third threshold or smaller than a fourth threshold, and the calculation formula of the electric quantity loop ratio is as follows:
Ezx_yg=|BM_ZX_YG3-BM_ZX_YG2|/|BM_ZX_YG2-BM_ZX_YG1|。
in the above method for determining abnormality of timesharing code of an automatic metering system electric meter, the first threshold is 3, the second threshold is 1/3, the third threshold is 3, the fourth threshold is 1/3, and the threshold X is 500.
In the above method for determining abnormality of time-sharing codes of an electric meter of an automatic metering system, in case 1), case 2) and case 3), the electric meter with the event of meter change and the event of returning to zero of full codes on the same day needs to be excluded.
In the method B, for the special transformer user, if the following conditions exist, the electric energy meter has the problem of abnormal reverse movement of the meter code:
4) the forward active summary table code of the electric energy meter at the later time point is smaller than the forward active summary table code of the electric energy meter at the previous time point, and the calculation formula is as follows:
X=BM_ZX_YG 2-BM_ZX_YG1;
wherein, BM _ ZX _ YG represents a forward active summary code, BM _ ZX _ YG1 and BM _ ZX _ YG2 represent different time point table codes respectively;
and X represents the positive active summary code difference of the previous and next time points.
In the method B, for the power plant user, if the following two conditions exist, the problem of abnormal falling of the meter code of the electric energy meter is solved:
5) the forward active total table code at the later time point of the electric energy meter is smaller than the forward active total table code at the previous time point of the electric energy meter, and the calculation formula is as follows:
X=BM_ZX_YG 2-BM_ZX_YG1,
6) the reverse active summary code at the later time point is smaller than the reverse active summary code at the previous time point, and the calculation formula is as follows:
X=BM_FX_YG2-BM_FX_YG1;
wherein, BM _ FX _ YG represents the reverse active summary code, BM _ FX _ YG1 and BM _ FX _ YG2 represent different time point codes respectively.
In the above method for determining abnormality of time-sharing codes of an electric meter of an automatic metering system, in case 4), case 5) and case 6), the electric meter with the event of meter change and the event of returning to zero of full codes on the same day needs to be excluded.
In the method C, for a specific transformer user or a power plant user, if the following two conditions exist at the same time, it is determined that the electric energy meter has the problem of abnormal stop of the meter code:
7) the difference value of the positive active summary codes at the previous time point and the later time point is 0;
8) the active power at the same time point is greater than the threshold value 0;
a method for repairing abnormity of time-sharing codes of an electric meter of a metering automation system comprises the following steps:
s1, judging an abnormal time period aiming at abnormal data, and removing collected data in the time period to obtain a data missing time period;
s2, taking the arithmetic mean value of the interval electric quantity of time points before and after the interval of the missing time period as an electric quantity fitting value when the duration of the missing time period is less than a first preset duration;
and S3, approximately fitting the meter data of the electricity meter with the meter data of the same ratio and the same attribute date when the duration of the missing time period is longer than the first preset duration.
The invention has the advantages that: the three abnormal conditions of electric energy meter flying, meter code reversing and meter code stopping can be judged, and the meter code abnormality of various conditions can be effectively and accurately judged; the data judged to be abnormal data are removed and repaired, so that the problem of data acquisition caused by abnormality of the electric energy meter is effectively avoided; the missing data in different time attributes are processed in a time-sharing mode, the power utilization habits of users are met, the missing data in various time periods can be processed more finely, and the deviation between the fitting result and the real result is reduced as much as possible.
Drawings
FIG. 1 is a flow chart of a method for determining and repairing an abnormal time-sharing code of an electric meter of an automatic metering system according to the present invention;
FIG. 2 is a flow chart of a method for processing missing data under various time attributes.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
As shown in fig. 1, the present embodiment discloses a method for determining an abnormal time-sharing code of an electric meter of a metering automation system, including:
A. when the electric energy meter code is abnormally increased, judging that the electric energy meter has the problem of abnormal flying of the electric energy meter;
B. when the meter code value at the later time point of the electric energy meter is smaller than the meter code value at the previous time point of the electric energy meter, judging that the electric energy meter has the problem of abnormal meter code reversing;
C. when the number of the meter codes of the electric energy meter is not changed but the electric energy meter runs under a load, the problem that the meter codes are abnormal to stop is judged.
Specifically, in the method a, for the dedicated transformer user, if one of the following two conditions exists, it is determined that the electric energy meter has the problem of abnormal flying away of the electric energy meter:
1) the small forward active total electric quantity loop ratio is larger than a first threshold or smaller than a second threshold, and the calculation formula of the electric quantity loop ratio is as follows:
Ezx_yg=|BM_ZX_YG3-BM_ZX_YG2|/|BM_ZX_YG2-BM_ZX_YG1|;
2) the difference between the forward active summary table code at the later time point and the forward active summary table code at the previous time point is greater than a threshold value X, and the calculation formula is as follows:
table code difference BM _ ZX _ YG2-BM _ ZX _ YG 1;
similarly, in the method a, for a power plant user, if the following conditions exist, it is determined that the electric energy meter has the electric energy meter flying abnormal problem:
3) the small forward active total electric quantity loop ratio is larger than a third threshold or smaller than a fourth threshold, and the calculation formula of the electric quantity loop ratio is as follows:
Ezx_yg=|BM_ZX_YG3-BM_ZX_YG2|/|BM_ZX_YG2-BM_ZX_YG1|。
the first threshold is 3, the second threshold is 1/3, the third threshold is 3, the fourth threshold is 1/3, and the threshold X is 500.
Further, in the method B, for the dedicated transformer user, if the following conditions exist, the electric energy meter has an abnormal problem of the backward movement of the meter code:
4) the forward active summary table code of the electric energy meter at the later time point is smaller than the forward active summary table code of the electric energy meter at the previous time point, and the calculation formula is as follows:
X=BM_ZX_YG 2-BM_ZX_YG1;
wherein, BM _ ZX _ YG represents a forward active summary code, BM _ ZX _ YG1, BM _ ZX _ YG2, BM _ ZX _ YG3 represent different time point table codes respectively;
ezx _ yg represents the charge-to-loop ratio;
and X represents the positive active summary code difference of the previous and next time points.
Similarly, in the method B, for a power plant user, if one of the following two conditions exists, the electric energy meter has an abnormal problem of meter code falling:
5) the forward active total table code at the later time point of the electric energy meter is smaller than the forward active total table code at the previous time point of the electric energy meter, and the calculation formula is as follows:
X=BM_ZX_YG2-BM_ZX_YG1,
6) the reverse active summary code at the later time point is smaller than the reverse active summary code at the previous time point, and the calculation formula is as follows:
X=BM_FX_YG2-BM_FX_YG1;
wherein, BM _ FX _ YG represents the reverse active summary code, BM _ FX _ YG1 and BM _ FX _ YG2 represent different time point codes respectively.
And in case 1), case 2), case 3), case 4), case 5) and case 6), the electric energy meter with the meter replacement event and the full code return-to-zero event on the current day needs to be excluded.
Further, in the method C, for a special transformer user or a power plant user, if the following two conditions exist at the same time, it is determined that the electric energy meter has the problem of abnormal meter code stop:
7) the difference value of the positive active summary codes at the previous time point and the later time point is 0;
8) and the active power is larger than the threshold value 0 at the same time point.
According to the method, three abnormal conditions of electric energy meter flying, meter code reversing and meter code stopping can be judged, and the meter code abnormality of various conditions can be accurately judged.
Further, after the abnormal data is judged, the abnormal data needs to be repaired, and the method specifically comprises the following steps:
s1, judging an abnormal time period aiming at abnormal data, and removing collected data in the time period to obtain a data missing time period; that is, the time period in which the abnormal data is located is extracted, the data in the time period in the electric energy meter collected data is removed, that is, the abnormal data is removed, and then the missing data is subjected to time-sharing fitting supplementation through the steps S2 and S3.
S2, taking the arithmetic mean value of the interval electric quantity of time points before and after the interval of the missing time period as an electric quantity fitting value when the duration of the missing time period is less than a first preset duration; for example, if the missing time period is 11 pm to 12 pm, then the total electric quantity may be taken as 5 hours before 11 pm and 5 hours after 12 pm, i.e., 6 am to 5 pm, and then the total electric quantity is divided by 10, i.e., the electric quantity is fitted to 11 pm to 12 pm; the missing period refers to a period in which continuous data is missing. The preset time period is generally two hours. And for the condition of short-time data missing, directly fitting according to the electricity utilization condition of a period of time before and after the missing time period.
And S3, approximately fitting the meter data of the electricity meter with the meter data of the same ratio and the same attribute date when the duration of the missing time period is longer than the first preset duration.
The attributes include three time attributes of working day, double holiday and legal holiday. The statutory festival and holidays are divided into small-long-term holidays (New year, Wuyi, Qingming and the like) and large-long-term holidays (spring festival, national celebration). In addition, the year-on-year ratio is any one or more of the group of the week-on-year ratio, the month-on-year ratio or the year-on-year ratio, and the preferred year-on-year ratio of the embodiment is the month-on-year ratio, and is specifically processed according to a specific missing time period, as shown in fig. 2:
and if the missing time period is in the working day, fitting according to the average value of the working day data of the previous month. Such as a default number of 1:00-2:00 on day 22/month (tuesday), fitting with an average number of 1:00-2:00 per workday for month 4, or fitting with an average number of 1:00-2:00 per workday for day 22/month 4-21/month 5;
and if the missing time period is in the double holidays, fitting according to the average value of the double holiday interval data of the previous month. Such as: if the number of the data lack is 2:00-3:00 in 9/6/9 (saturday) in 2018, fitting is carried out by using the average value of the data of 2:00-3:00 in each saturday and day in 5/6/8/2: 00-3:00 in 2018; (ii) a
And if the missing time period is within the legal holiday, fitting and processing the data according to the latest holiday interval data of the same type. As described above, the holidays are divided into a small holiday and a large holiday, if the missing time period is within the legal holiday of the small holiday type, the data refers to the data mean fitting process of the last three holidays, and if the missing time period is within the legal holiday of the large holiday type, the data mean fitting process of the last year of the same holiday can be taken, such as: and if the number of the defects is 2:00-3:00 in 2 days of national celebration in 10 months in 2018, fitting the average value data of 7 days of national celebration in 10 months in 2017 by using 2:00-3: 00. Such as: and if the number of the defect is 2:00-3:00 in 17 days (morning) in 6 and 8 months in 2018, the average value of the data of the Yuan Dan, the Qingming and the Wuyi holiday in 2018 is taken for data fitting treatment, wherein the average value is 2:00-3: 00.
In addition, if no historical analog data is referred to the previous holiday data fitting process.
And aiming at the condition of data missing for a long time, according to the attribute date of the missing time period, the data are respectively processed according to the attribute date of the same proportion, so that the power utilization habits of users are met, and the final processing accuracy is improved.
Further, if the missing time period spans across workdays/double-holidays and legal holidays, the missing time period is divided according to the workdays/double-holidays and the legal holidays, and then the divided missing time periods are respectively subjected to fitting processing.
Similarly, for typhoon, user stop and the like, whether the actual site of the user is normal power utilization or not cannot be known in time, and fitting is performed on working days, double holidays and holidays as usual.
The scheme is used for the situation that only one electric energy meter is arranged, if the system is provided with an auxiliary meter besides the main meter, the collected data of the auxiliary meter can be used as supplement in the situation that the data of the main meter is missing. Specifically, after the missing time period is acquired in step S1, the following steps are first performed:
and checking whether the auxiliary meter successfully collects the electric quantity data in the corresponding missing time period, if so, performing approximate fitting on the electric quantity data in the missing time period through the auxiliary meter collected data, and otherwise, executing the step S2 in the first embodiment.
In addition, the specific transformer user refers to a user side of a spot market, and the power plant user refers to a power generation side of the spot market.
The specific embodiments described herein are merely illustrative of the spirit of the invention. Various modifications or additions may be made or substituted in a similar manner to the specific embodiments described herein by those skilled in the art without departing from the spirit or exceeding the scope of the invention as defined in the appended claims, the invention being expressed as directly or indirectly connected.
Although the terms of the electric energy meter flying away exception, the table code rewinding exception, the table code stopping away exception, the first preset time length, the missing time period, the time attribute, etc. are used more frequently, the possibility of using other terms is not excluded. These terms are used merely to more conveniently describe and explain the nature of the present invention; they are to be construed as being without limitation to any additional limitations that may be imposed by the spirit of the present invention.
Claims (10)
1. A method for judging abnormity of a time-sharing code of an electric meter of a metering automation system is characterized by comprising the following steps:
A. when the electric energy meter code is abnormally increased, judging that the electric energy meter has the problem of abnormal flying of the electric energy meter;
B. when the meter code value at the later time point of the electric energy meter is smaller than the meter code value at the previous time point of the electric energy meter, judging that the electric energy meter has the problem of abnormal meter code reversing;
C. when the number of the meter codes of the electric energy meter is not changed but the electric energy meter runs under a load, the problem that the meter codes are abnormal to stop is judged.
2. The method for determining abnormality of timesharing code of an electric meter of an automatic metering system according to claim 1, wherein in method a, for a user of a dedicated transformer, if the following two conditions exist, it is determined that the electric meter has the problem of abnormal flying away of the electric meter:
1) the small forward active total electric quantity loop ratio is larger than a first threshold or smaller than a second threshold, and the calculation formula of the electric quantity loop ratio is as follows:
Ezx_yg=|BM_ZX_YG3-BM_ZX_YG2|/|BM_ZX_YG2-BM_ZX_YG1|;
2) the difference between the forward active summary table code at the later time point and the forward active summary table code at the previous time point is greater than a threshold value X, and the calculation formula is as follows:
table code difference BM _ ZX _ YG2-BM _ ZX _ YG 1;
wherein, BM _ ZX _ YG represents a forward active summary code, BM _ ZX _ YG1, BM _ ZX _ YG2, BM _ ZX _ YG3 represent different time point table codes respectively;
ezx _ yg represents the charge-to-loop ratio.
3. The method for judging the abnormality of the timesharing code of the electric meter of the metering automation system according to claim 2, characterized in that in the method a, for a power plant user, if the following conditions exist, it is judged that the electric energy meter has the problem of abnormal flying away of the electric energy meter:
3) the small forward active total electric quantity loop ratio is larger than a third threshold or smaller than a fourth threshold, and the calculation formula of the electric quantity loop ratio is as follows:
Ezx_yg=|BM_ZX_YG3-BM_ZX_YG2|/|BM_ZX_YG2-BM_ZX_YG1|。
4. the method as claimed in claim 3, wherein the first threshold is 3, the second threshold is 1/3, the third threshold is 3, the fourth threshold is 1/3, and the threshold X is 500.
5. The method for determining abnormality of timesharing codes of an electric meter of an automatic metering system according to claim 4, wherein in case 1), case 2) and case 3), electric energy meters having a meter change event and a full code zeroing event are excluded.
6. The method for determining abnormal time-sharing codes of the electric meter of the metering automation system according to claim 1, wherein in the method B, for the special transformer user, if the following conditions exist, the electric energy meter has the problem of abnormal code reversing:
4) the forward active summary table code of the electric energy meter at the later time point is smaller than the forward active summary table code of the electric energy meter at the previous time point, and the calculation formula is as follows:
X=BM_ZX_YG 2-BM_ZX_YG1;
wherein, BM _ ZX _ YG represents a forward active summary code, BM _ ZX _ YG1 and BM _ ZX _ YG2 represent different time point table codes respectively;
and X represents the positive active summary code difference of the previous and next time points.
7. The method for judging the abnormal time-sharing code of the electric meter of the metering automation system according to claim 6, wherein in the method B, aiming at a power plant user, if the following two conditions exist, the problem that the code of the electric energy meter is abnormal when the electric meter is turned over exists:
5) the forward active total table code at the later time point of the electric energy meter is smaller than the forward active total table code at the previous time point of the electric energy meter, and the calculation formula is as follows:
X=BM_ZX_YG 2-BM_ZX_YG1,
6) the reverse active summary code at the later time point is smaller than the reverse active summary code at the previous time point, and the calculation formula is as follows:
X=BM_FX_YG2-BM_FX_YG1;
wherein, BM _ FX _ YG represents the reverse active summary code, BM _ FX _ YG1 and BM _ FX _ YG2 represent different time point codes respectively.
8. The method for determining abnormality of timesharing codes of an electric meter of an automatic metering system according to claim 7, wherein in case 4), case 5) and case 6), electric energy meters having a meter change event and a full code zeroing event are excluded.
9. The method for determining abnormal time-sharing codes of the electric meter of the metering automation system according to claim 8, wherein in the method C, for a specific transformer user or a power plant user, if the following two conditions exist simultaneously, it is determined that the problem of abnormal stop and go of the codes exists in the electric energy meter:
7) the difference value of the positive active summary codes at the previous time point and the later time point is 0;
8) and the active power is larger than the threshold value 0 at the same time point.
10. A method for repairing an abnormality of a time-sharing code of an electric meter of an automatic metering system based on the method for determining an abnormality of a time-sharing code of an electric meter of an automatic metering system according to any one of claims 1 to 9, comprising the steps of:
s1, judging an abnormal time period aiming at abnormal data, and removing collected data in the time period to obtain a data missing time period;
s2, taking the arithmetic mean value of the interval electric quantity of time points before and after the interval of the missing time period as an electric quantity fitting value when the duration of the missing time period is less than a first preset duration;
and S3, approximately fitting the meter data of the electricity meter with the meter data of the same ratio and the same attribute date when the duration of the missing time period is longer than the first preset duration.
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---|---|---|---|---|
CN112184491A (en) * | 2020-10-13 | 2021-01-05 | 南方电网数字电网研究院有限公司 | Abnormal data identification method and device in power grid, computer equipment and storage medium |
CN113569377A (en) * | 2021-06-09 | 2021-10-29 | 国网浙江省电力有限公司绍兴供电公司 | Method for identifying abnormal features of electric energy data in multi-element heterogeneous environment |
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Citations (20)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5561609A (en) * | 1993-08-02 | 1996-10-01 | U.S. Philips Corporation | Transmission system with reconstruction of missing signal samples |
CN101557111A (en) * | 2009-05-20 | 2009-10-14 | 重庆市电力公司 | Intelligent acquired electricity consumption data screening processing system |
JP2010044618A (en) * | 2008-08-13 | 2010-02-25 | Hitachi Ltd | Method for interpolating missing data, execution program therefor, and data collecting device |
CN102881162A (en) * | 2012-09-29 | 2013-01-16 | 北京市交通信息中心 | Data processing and fusion method for large-scale traffic information |
CN104200395A (en) * | 2014-08-22 | 2014-12-10 | 国家电网公司 | Technology for achieving missing data intelligent automatic additional recording based on automatic additional recording strategy definition |
CN105117810A (en) * | 2015-09-24 | 2015-12-02 | 国网福建省电力有限公司泉州供电公司 | Residential electricity consumption mid-term load prediction method under multistep electricity price mechanism |
CN105825675A (en) * | 2016-05-17 | 2016-08-03 | 青岛海信网络科技股份有限公司 | Link travel time calculating method and link travel time calculating device based on big data |
CN106405475A (en) * | 2016-08-31 | 2017-02-15 | 国网江苏省电力公司常州供电公司 | Electric energy meter abnormity diagnosis method |
CN107092637A (en) * | 2017-02-16 | 2017-08-25 | 北京小度信息科技有限公司 | Data processing method and device |
CN107221927A (en) * | 2017-05-23 | 2017-09-29 | 国电南瑞三能电力仪表(南京)有限公司 | A kind of analysis method of opposing electricity-stealing based on quantitative appraisement model stealing suspicion parser |
US20180068033A1 (en) * | 2016-09-08 | 2018-03-08 | Indian Institute Of Technology Bombay | Method for imputing missed data in sensor data sequence with missing data |
CN107944464A (en) * | 2017-10-12 | 2018-04-20 | 华南理工大学 | A kind of office building by when energy consumption abnormal data online recognition and complementing method |
CN109033454A (en) * | 2018-08-27 | 2018-12-18 | 广东电网有限责任公司 | Data filling method, apparatus, equipment and storage medium based on attributes similarity |
CN109307811A (en) * | 2018-08-06 | 2019-02-05 | 国网浙江省电力有限公司宁波供电公司 | A kind of user's dedicated transformer electricity consumption monitoring method excavated based on big data |
CN109445972A (en) * | 2018-09-21 | 2019-03-08 | 深圳供电局有限公司 | Data recovery method, device, equipment and storage medium |
CN109634940A (en) * | 2018-11-12 | 2019-04-16 | 国网天津市电力公司电力科学研究院 | A kind of typical low pressure platform area's electricity consumption model building method based on magnanimity low-voltage platform area electricity consumption data |
CN109727446A (en) * | 2019-01-15 | 2019-05-07 | 华北电力大学(保定) | A kind of identification and processing method of electricity consumption data exceptional value |
CN110082699A (en) * | 2019-05-10 | 2019-08-02 | 国网天津市电力公司电力科学研究院 | A kind of low-voltage platform area intelligent electric energy meter kinematic error calculation method and its system |
CN110108913A (en) * | 2019-04-04 | 2019-08-09 | 广州供电局有限公司 | It calculates failure and remedies electricity method |
CN110175167A (en) * | 2019-05-10 | 2019-08-27 | 国网天津市电力公司电力科学研究院 | A kind of data cleaning method and system suitable for low-voltage platform area electricity consumption data |
-
2019
- 2019-12-03 CN CN201911218154.7A patent/CN111141950B/en active Active
Patent Citations (20)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5561609A (en) * | 1993-08-02 | 1996-10-01 | U.S. Philips Corporation | Transmission system with reconstruction of missing signal samples |
JP2010044618A (en) * | 2008-08-13 | 2010-02-25 | Hitachi Ltd | Method for interpolating missing data, execution program therefor, and data collecting device |
CN101557111A (en) * | 2009-05-20 | 2009-10-14 | 重庆市电力公司 | Intelligent acquired electricity consumption data screening processing system |
CN102881162A (en) * | 2012-09-29 | 2013-01-16 | 北京市交通信息中心 | Data processing and fusion method for large-scale traffic information |
CN104200395A (en) * | 2014-08-22 | 2014-12-10 | 国家电网公司 | Technology for achieving missing data intelligent automatic additional recording based on automatic additional recording strategy definition |
CN105117810A (en) * | 2015-09-24 | 2015-12-02 | 国网福建省电力有限公司泉州供电公司 | Residential electricity consumption mid-term load prediction method under multistep electricity price mechanism |
CN105825675A (en) * | 2016-05-17 | 2016-08-03 | 青岛海信网络科技股份有限公司 | Link travel time calculating method and link travel time calculating device based on big data |
CN106405475A (en) * | 2016-08-31 | 2017-02-15 | 国网江苏省电力公司常州供电公司 | Electric energy meter abnormity diagnosis method |
US20180068033A1 (en) * | 2016-09-08 | 2018-03-08 | Indian Institute Of Technology Bombay | Method for imputing missed data in sensor data sequence with missing data |
CN107092637A (en) * | 2017-02-16 | 2017-08-25 | 北京小度信息科技有限公司 | Data processing method and device |
CN107221927A (en) * | 2017-05-23 | 2017-09-29 | 国电南瑞三能电力仪表(南京)有限公司 | A kind of analysis method of opposing electricity-stealing based on quantitative appraisement model stealing suspicion parser |
CN107944464A (en) * | 2017-10-12 | 2018-04-20 | 华南理工大学 | A kind of office building by when energy consumption abnormal data online recognition and complementing method |
CN109307811A (en) * | 2018-08-06 | 2019-02-05 | 国网浙江省电力有限公司宁波供电公司 | A kind of user's dedicated transformer electricity consumption monitoring method excavated based on big data |
CN109033454A (en) * | 2018-08-27 | 2018-12-18 | 广东电网有限责任公司 | Data filling method, apparatus, equipment and storage medium based on attributes similarity |
CN109445972A (en) * | 2018-09-21 | 2019-03-08 | 深圳供电局有限公司 | Data recovery method, device, equipment and storage medium |
CN109634940A (en) * | 2018-11-12 | 2019-04-16 | 国网天津市电力公司电力科学研究院 | A kind of typical low pressure platform area's electricity consumption model building method based on magnanimity low-voltage platform area electricity consumption data |
CN109727446A (en) * | 2019-01-15 | 2019-05-07 | 华北电力大学(保定) | A kind of identification and processing method of electricity consumption data exceptional value |
CN110108913A (en) * | 2019-04-04 | 2019-08-09 | 广州供电局有限公司 | It calculates failure and remedies electricity method |
CN110082699A (en) * | 2019-05-10 | 2019-08-02 | 国网天津市电力公司电力科学研究院 | A kind of low-voltage platform area intelligent electric energy meter kinematic error calculation method and its system |
CN110175167A (en) * | 2019-05-10 | 2019-08-27 | 国网天津市电力公司电力科学研究院 | A kind of data cleaning method and system suitable for low-voltage platform area electricity consumption data |
Non-Patent Citations (3)
Title |
---|
PINROLINVIC MANEMBU: "Missing data solution of electricity consumption based on Lagrange Interpolation case study: IntelligEnSia data monitoring", 《2015 INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND INFORMATICS (ICEEI)》 * |
王立斌: "一种用电信息采集系统异常电量数据的识别与修复方法", 《电力大数据》 * |
赵少东: "电力系统的计量缺失数据智能修复研究与应用", 《科技创新导报》 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112184491A (en) * | 2020-10-13 | 2021-01-05 | 南方电网数字电网研究院有限公司 | Abnormal data identification method and device in power grid, computer equipment and storage medium |
CN112184491B (en) * | 2020-10-13 | 2023-10-24 | 南方电网数字电网研究院有限公司 | Method, device, computer equipment and storage medium for identifying abnormal data in power grid |
CN113569377A (en) * | 2021-06-09 | 2021-10-29 | 国网浙江省电力有限公司绍兴供电公司 | Method for identifying abnormal features of electric energy data in multi-element heterogeneous environment |
CN113568937A (en) * | 2021-08-03 | 2021-10-29 | 贵州电网有限责任公司 | Electric quantity fitting method based on VEE process |
CN113780630A (en) * | 2021-08-17 | 2021-12-10 | 云南电网有限责任公司 | Method for realizing form code prediction based on historical electricity consumption data of electricity consumption customer |
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