CN111242701A - Method for supplementing electric charge in case of abnormal voltage - Google Patents
Method for supplementing electric charge in case of abnormal voltage Download PDFInfo
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- CN111242701A CN111242701A CN202010125571.3A CN202010125571A CN111242701A CN 111242701 A CN111242701 A CN 111242701A CN 202010125571 A CN202010125571 A CN 202010125571A CN 111242701 A CN111242701 A CN 111242701A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0283—Price estimation or determination
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R11/00—Electromechanical arrangements for measuring time integral of electric power or current, e.g. of consumption
- G01R11/56—Special tariff meters
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
- G01R19/165—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
- G01R19/16533—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values characterised by the application
- G01R19/16538—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values characterised by the application in AC or DC supplies
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
- G01R19/165—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
- G01R19/16566—Circuits and arrangements for comparing voltage or current with one or several thresholds and for indicating the result not covered by subgroups G01R19/16504, G01R19/16528, G01R19/16533
- G01R19/16576—Circuits and arrangements for comparing voltage or current with one or several thresholds and for indicating the result not covered by subgroups G01R19/16504, G01R19/16528, G01R19/16533 comparing DC or AC voltage with one threshold
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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Abstract
The invention discloses a method for supplementing electric charge in case of voltage abnormality, which aims to solve the problem of low working efficiency of the existing method for screening the voltage abnormality. The method comprises the following specific steps: extracting historical voltage data of normal operation and a voltage data set needing to be judged; step two, obtaining the rated voltage of a certain user; comparing the rated voltage at a certain position with a voltage data set needing to be judged, and outputting the electric energy meter information of a user with abnormal voltage when the voltage is judged to be abnormal; and step four, extracting the voltage data set judged to be abnormal in voltage, finding the abnormal date of the voltage, drawing a voltage curve of the abnormal date of the voltage, and processing the voltage curve to obtain the chased electric quantity. The invention can automatically extract voltage data, automatically judge whether the voltage is abnormal or not, extract required data in time, calculate the chasing charge amount and send related information to each power supply company, thereby reducing the labor intensity and labor cost, shortening the fault time and reducing the loss of the charge amount.
Description
Technical Field
The invention relates to the field of electric charge compensation, in particular to a method for compensating electric charge in abnormal voltage.
Background
The large-scale power system appearing in the 20 th century is one of the most important achievements in the history of human engineering science, and is a power generation and consumption system which consists of links of power generation, power transmission, power transformation, power distribution, power utilization and the like.
All will install various parts such as ammeter among the user, upload to the database with various data again, voltage is unusual a situation that often appears, and this can lead to the charges of electricity to appear the mistake, in order to avoid the loss of charges of electricity, all at present the manual work is checked the voltage data in the database, and the user of manual screening voltage anomaly to the time date of manual looking for voltage anomaly, work efficiency is extremely low.
Disclosure of Invention
An object of an embodiment of the present invention is to provide a method for supplementing electric charges when a voltage is abnormal, so as to solve the problems in the background art.
In order to achieve the above purpose, the embodiments of the present invention provide the following technical solutions:
a method for supplementing electric charge in case of abnormal voltage comprises the following steps:
the method comprises the following steps that firstly, a cloud server extracts normally-operated historical voltage data and a voltage data set needing to be judged from a database;
determining the rated voltage of a certain user according to the historical voltage data of the normal operation of the certain user, namely establishing a voltage training model of the certain user, putting the historical voltage data of the normal operation into the training model for training to obtain a training result, namely the rated voltage of the certain user;
comparing the rated voltage at a certain position with a voltage data set needing to be judged, judging that the voltage is abnormal if the voltage data set needing to be judged is higher or lower than 20% of the rated voltage at the certain position, and outputting the electric energy meter information of a user with the abnormal voltage;
extracting the voltage data set judged to be abnormal in voltage, finding the abnormal date of the voltage, drawing a voltage curve of the abnormal date of the voltage, and processing the voltage curve to obtain the chased electric quantity;
and step five, the cloud server sends the recollected electric quantity to a corresponding power supply company, and the power supply company recollects the electric charge of the corresponding user.
As a further scheme of the embodiment of the invention: the historical voltage data of normal operation comprises voltage data in a user acquisition system and voltage data in a marketing system, and the voltage data and the marketing system are compared, and the historical voltage data of normal operation is matched.
As a further scheme of the embodiment of the invention: the acquisition frequency of the historical voltage data of normal operation and the voltage data set needing to be distinguished is 10-15 minutes once, so that the voltage of at least 96 time points can be acquired in one day, and the average value of the voltage is taken.
As a further scheme of the embodiment of the invention: the training model comprises a deep learning model, a neural network model and a clustering algorithm model, and only when at least two model results are consistent, the training result is determined, so that the accuracy of the training result is ensured, and the accuracy of subsequent judgment is ensured.
As a further scheme of the embodiment of the invention: and in the third step, the electric energy meter information of the users with abnormal voltage comprises historical voltage, current, power factor data, active readings in voltage loss, active readings after processing and multiplying power of the electric energy meter, and parameters of the abnormal voltage are displayed in various aspects.
As a further scheme of the embodiment of the invention: the processing of the voltage curve in the fourth step comprises: and calculating a calculation formula of the voltage curve, and substituting the voltage data set with abnormal voltage into the calculation formula to obtain the chased electric quantity.
As a further scheme of the embodiment of the invention: and in the step one, the historical voltage data of the normal operation is historical data of more than 30 days.
Compared with the prior art, the embodiment of the invention has the beneficial effects that:
the invention can automatically extract voltage data, automatically judge whether the voltage is abnormal or not, extract required data in time, calculate the electric quantity to be chased and send related information to each power supply company, thereby reducing the labor intensity and labor cost, shortening the fault time, reducing the electric quantity loss and having wide application prospect.
Detailed Description
The technical solution of the present patent will be described in further detail with reference to the following embodiments.
Example 1
A method for supplementing electric charge in case of abnormal voltage comprises the following steps:
the method comprises the steps that firstly, a cloud server extracts historical voltage data of normal operation for 40 days and a voltage data set needing to be judged from a database, the historical voltage data of the normal operation comprise voltage data in a user acquisition system and voltage data in a marketing system, the voltage data and the historical voltage data are compared, the historical voltage data of the normal operation are matched when the voltage data are matched, the acquisition frequency of the historical voltage data of the normal operation and the acquisition frequency of the voltage data set needing to be judged are both 10-15 minutes once, at least 96 time points of voltage can be acquired in one day, the average value of the voltage data is obtained, and the accuracy of the result is guaranteed;
determining the rated voltage of a certain user according to the historical voltage data of the normal operation of the certain user, namely establishing a voltage training model of the certain user, putting the historical voltage data of the normal operation into the training model for training to obtain a training result, namely the rated voltage of the certain user;
comparing the rated voltage at a certain position with a voltage data set needing to be judged, judging that the voltage is abnormal if the voltage data set needing to be judged is higher than or lower than 20% of the rated voltage at the certain position, outputting the electric energy meter information of a user with abnormal voltage, wherein the electric energy meter information of the user with abnormal voltage comprises historical voltage, current, power factor data, active readings during voltage loss, active readings after processing and electric energy meter multiplying power, and displaying parameters of abnormal voltage in various aspects;
extracting the voltage data set judged to be abnormal in voltage, finding the abnormal date of the voltage, drawing a voltage curve of the abnormal date of the voltage, and processing the voltage curve to obtain the chased electric quantity;
and step five, the cloud server sends the recollected electric quantity to a corresponding power supply company, and the power supply company recollects the electric charge of the corresponding user.
Example 2
A method for supplementing electric charge in case of abnormal voltage comprises the following steps:
the method comprises the following steps that firstly, a cloud server extracts normally-operated historical voltage data and a voltage data set needing to be judged from a database;
determining the rated voltage of a certain user according to the normally-operated historical voltage data of the certain user, namely establishing a voltage training model of the certain user, putting the normally-operated historical voltage data into the training model for training to obtain a training result, wherein the training model comprises a deep learning model, a neural network model and a clustering algorithm model, only when at least two model results are consistent, the training result is determined to be the training result, the accuracy of the training result is ensured, the accuracy of subsequent judgment is ensured to be the rated voltage of the certain user, whether the error of the rated voltage of the certain user is within a preset range is checked, the general range is 5% of the variation range of the normally-operated historical voltage data, if yes, the current training model is judged to be well trained, the subsequent steps are executed, and if not, the step is returned to be executed again;
comparing the rated voltage at a certain position with a voltage data set needing to be judged, judging that the voltage is abnormal if the voltage data set needing to be judged is higher or lower than 20% of the rated voltage at the certain position, and outputting the electric energy meter information of a user with the abnormal voltage;
extracting the voltage data set judged to be abnormal in voltage, finding the abnormal voltage date, drawing a voltage curve of the abnormal voltage date, calculating a calculation formula of the voltage curve, and substituting the abnormal voltage data set into the calculation formula to obtain the chased electric quantity;
and step five, the cloud server sends the recollected electric quantity to a corresponding power supply company, and the power supply company recollects the electric charge of the corresponding user.
As a further scheme of the embodiment of the invention: the above description is only for the preferred embodiment of the present invention, and is not intended to limit the present invention, and any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
The method of the embodiment 2 is adopted by the national grid from 11 months in 2019, the result is issued to each power supply company, and the electric charge of additional payment is finished by about 1200 ten thousand yuan by 12 months in 2019, so that certain loss is reduced for the national grid company.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (7)
1. A method for supplementing electric charge in case of abnormal voltage is characterized by comprising the following specific steps:
the method comprises the following steps that firstly, a cloud server extracts normally-operated historical voltage data and a voltage data set needing to be judged from a database;
determining the rated voltage of a certain user according to the historical voltage data of the normal operation of the certain user, namely establishing a voltage training model of the certain user, putting the historical voltage data of the normal operation into the training model for training to obtain a training result, namely the rated voltage of the certain user;
comparing the rated voltage at a certain position with a voltage data set needing to be judged, judging that the voltage is abnormal if the voltage data set needing to be judged is higher or lower than 20% of the rated voltage at the certain position, and outputting the electric energy meter information of a user with the abnormal voltage;
extracting the voltage data set judged to be abnormal in voltage, finding the abnormal date of the voltage, drawing a voltage curve of the abnormal date of the voltage, and processing the voltage curve to obtain the chased electric quantity;
and step five, the cloud server sends the recollected electric quantity to a corresponding power supply company, and the power supply company recollects the electric charge of the corresponding user.
2. The method for supplementing electricity charges when voltage is abnormal according to claim 1, wherein the historical voltage data of normal operation comprises voltage data in a user acquisition system and voltage data in a marketing system.
3. The method for supplementing electricity charges after voltage abnormality according to claim 1, wherein the collection frequency of the historical voltage data of normal operation and the voltage data set to be judged are both 10-15 minutes once.
4. The method for supplementing electric power fee in case of voltage abnormality according to claim 1, characterized in that: the training model comprises a deep learning model, a neural network model and a clustering algorithm model.
5. The method for supplementing electricity charges in case of voltage abnormality according to claim 1, wherein the energy meter information of the users with voltage abnormality in the third step includes historical voltage, current, power factor data, active readings in case of voltage loss, active readings after processing and multiplying power of the energy meter.
6. The method for supplementing electricity charges in case of voltage abnormality according to claim 1, wherein the step four of processing the voltage curve includes: and calculating a calculation formula of the voltage curve, and substituting the voltage data set with abnormal voltage into the calculation formula.
7. The method for supplementing electric power fee when voltage is abnormal according to claim 1 or 2, wherein the historical voltage data of the normal operation in the first step is historical data of more than 30 days.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010125571.3A CN111242701A (en) | 2020-02-27 | 2020-02-27 | Method for supplementing electric charge in case of abnormal voltage |
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| CN202010125571.3A CN111242701A (en) | 2020-02-27 | 2020-02-27 | Method for supplementing electric charge in case of abnormal voltage |
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| CN202010125571.3A Pending CN111242701A (en) | 2020-02-27 | 2020-02-27 | Method for supplementing electric charge in case of abnormal voltage |
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Citations (6)
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