CN111694821A - Wiring mode-related power abnormal data filtering method and device and electronic equipment - Google Patents
Wiring mode-related power abnormal data filtering method and device and electronic equipment Download PDFInfo
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Abstract
The embodiment of the application relates to a method and a device for filtering power abnormal data considering a wiring mode, electronic equipment and a computer readable storage medium. The method comprises the following steps: acquiring power data to be analyzed, wherein the power data comprises voltage data and current data; calculating power data according to the voltage data and the current data; determining an ammeter wiring mode corresponding to the electric power data; acquiring a filtering condition corresponding to the wiring mode of the ammeter, and filtering the power data according to the filtering condition; and determining voltage data and current data corresponding to the power data meeting the filtering condition as abnormal data, and deleting the abnormal data. The power abnormal data filtering method, the device, the electronic equipment and the computer readable storage medium considering the wiring mode can accurately filter abnormal power data and improve the data processing efficiency.
Description
Technical Field
The embodiment of the application relates to the technical field of data processing, in particular to a method and a device for filtering power abnormal data considering a wiring mode, electronic equipment and a computer readable storage medium.
Background
In order to better allocate power resources, data collection and analysis of power resources used by each user are required to make a better power resource allocation plan. At present, due to the influence of external factors such as electromagnetic interference and noise on the acquisition device, some abnormal data inevitably exists in the acquired power data, and the abnormal power data adversely affects the subsequent analysis, so that it is necessary to perform abnormal value filtering on the acquired data. The traditional abnormal data filtering methods such as a distance identification method and a density identification method generally have the defects of large calculated amount, complex algorithm and the like, and are not beneficial to large-scale data processing.
Disclosure of Invention
The embodiment of the application provides a method and a device for filtering abnormal power data considering a wiring mode, electronic equipment and a computer readable storage medium, which can accurately filter abnormal power data and improve data processing efficiency.
A power abnormal data filtering method considering a wiring mode comprises the following steps:
acquiring power data to be analyzed, wherein the power data comprises voltage data and current data;
calculating power data according to the voltage data and the current data;
determining an ammeter wiring mode corresponding to the electric power data;
acquiring a filtering condition corresponding to the wiring mode of the ammeter, and filtering the power data according to the filtering condition;
and determining voltage data and current data corresponding to the power data meeting the filtering condition as abnormal data, and deleting the abnormal data.
A power abnormality data filtering device considering a wiring mode includes:
the data acquisition module is used for acquiring power data to be analyzed, wherein the power data comprises voltage data and current data;
the power calculation module is used for calculating power data according to the voltage data and the current data;
the wiring mode determining module is used for determining the wiring mode of the ammeter corresponding to the electric power data;
the filtering module is used for acquiring filtering conditions corresponding to the wiring mode of the ammeter and filtering the power data according to the filtering conditions;
and the deleting module is used for determining the voltage data and the current data corresponding to the power data meeting the filtering condition as abnormal data and deleting the abnormal data.
An electronic device comprising a memory and a processor, the memory having stored therein a computer program which, when executed by the processor, causes the processor to carry out the method as described above.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method as set forth above.
According to the method, the device, the electronic equipment and the computer-readable storage medium for filtering the abnormal power data considering the wiring mode, the power data is calculated according to the voltage data and the current data contained in the power data to be analyzed, the electric meter wiring mode corresponding to the power data is determined, the filtering condition corresponding to the electric meter wiring mode is obtained, the power data is filtered according to the filtering condition, the voltage data and the current data corresponding to the power data meeting the filtering condition are determined to be abnormal data, the abnormal data are deleted, the accuracy of detecting the abnormal power data can be improved, the abnormal power data can be directly filtered on line automatically, downloading to the local is not needed, and the data processing efficiency is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a diagram illustrating an exemplary application of a power anomaly data filtering method in an embodiment;
FIG. 2 is a flow diagram of a method for filtering power anomaly data that accounts for wiring in one embodiment;
FIG. 3 is a flow chart illustrating filtering of power data using filtering conditions when the meter is connected in a three-wire four-wire system according to an embodiment;
FIG. 4 is a flow chart illustrating filtering of power data using filtering criteria when the meter is wired in a three-wire system according to one embodiment;
FIG. 5 is a flow diagram of filtering power data using harmonic criteria in one embodiment;
FIG. 6 is a block diagram of a power anomaly data filtering device accounting for wiring in one embodiment;
FIG. 7 is a block diagram of an electronic device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
It will be understood that, as used herein, the terms "first," "second," and the like may be used herein to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish one element from another. For example, a first client may be referred to as a second client, and similarly, a second client may be referred to as a first client, without departing from the scope of the present application. Both the first client and the second client are clients, but they are not the same client.
Fig. 1 is a diagram illustrating an application scenario of the power anomaly data filtering method in consideration of the wiring manner in one embodiment. As shown in fig. 1, the server 20 may establish a communication connection with one or more collection devices 10, and the collection devices 10 may collect power data of the electric meters and upload the collected power data to the server 20 for storage. The server 20 may store and process the collected power data, such as, but not limited to, data filtering, data cleansing, data conversion, and the like. In some embodiments, the server 20 may also perform analysis on the processed power data, such as market trend analysis using the power data, comprehensive evaluation of customers, and so forth. The server 20 may provide technical support, application services, and the like to power grid companies, power generation companies, power selling companies, and the like based on the analysis of the power data, wherein the application services may include, but are not limited to, load prediction, power price prediction, energy saving optimization, and the like.
In the embodiment of the present application, the server 20 may filter the collected power data to filter out abnormal data in the power data. The server 20 may obtain power data to be analyzed, which may include voltage data, current data, and the like. The server 20 may calculate power data from the voltage data and the current data. The server 20 may determine an electric meter connection manner corresponding to the electric power data, obtain one or more filtering conditions corresponding to the electric meter connection manner, and filter the calculated power data according to the one or more filtering conditions. The server 20 may determine power data corresponding to power data satisfying a filtering condition corresponding to any one of the electric meter connection modes as abnormal data, and delete the abnormal data.
As shown in fig. 2, in one embodiment, a method for filtering power anomaly data considering a wiring manner is provided, which includes the following steps:
The collection device collects the power data of the ammeter and sends the power data to the server for storage. The server may obtain power data to be analyzed, which may include, but is not limited to, voltage data, current data, and the like, as one manner. In one embodiment, the collecting device may upload power data to the server at preset time intervals, for example, every 4 hours, 10 hours, 1 day, and the like, where the power data is power data generated by the electric meter within a time duration corresponding to the preset time interval. The server receives the electric power data uploaded by the acquisition device, can take the uploaded electric power data as the electric power data to be analyzed, carries out data filtering, and stores the filtered data into the database, so that the stored data volume can be reduced, and the accuracy of subsequent data analysis can be improved.
The server acquires the electric power data to be analyzed uploaded by the acquisition device, and can calculate power data according to voltage data and current data contained in the electric power data. The power data may include total power, active power, apparent power, and the like. The active power refers to alternating current energy actually emitted or consumed in unit time, and is average power in a period; the apparent power may be a product of a rated current and a rated voltage, the square of the apparent power may be equal to the square of active power plus the square of reactive power, the apparent power and the total power may have a certain factor relationship, and the units of the apparent power and the total power may be different, for example, the unit of the apparent power is VA (volt-ampere) or KVA (kilovolt-ampere), the unit of the total power is W (watt) or KW (kilowatt), and the like, but is not limited thereto.
In some embodiments, the current data may include a rated current, a current effective value, and the like, the voltage data may include a rated voltage, a voltage effective value, and the like, the apparent power may be calculated from the rated current and the rated voltage, and the active power may be calculated from the current effective value and the voltage effective value, and in particular, the active power may be a product of the current effective value and the voltage effective value. Alternatively, the apparent power may be stored in a database of the server in advance, and an equipment identifier, such as an equipment ID (identity), of the electric meter to which the current data belongs may be obtained, and the corresponding apparent power may be searched in the database according to the equipment identifier. It will be appreciated that the manner of obtaining the power data may be various and is not limited to the above-mentioned manners.
And step 230, determining an electric meter wiring mode corresponding to the electric power data.
The server may determine the electric meter wiring mode corresponding to the electric power data to be analyzed, and the electric meter wiring mode may include, but is not limited to, a three-phase four-wire system wiring mode, a three-phase three-wire system wiring mode, and the like. Compared with a three-phase four-wire system wiring mode, the three-phase three-wire system wiring mode is free of a zero line, and the wiring mode of the ammeter is determined by the incoming wire and the electricity utilization property of a user.
And 240, acquiring a filtering condition corresponding to the wiring mode of the electric meter, and filtering the power data according to the filtering condition.
The server can store one or more filtering conditions, and the filtering conditions can be used for filtering data with abnormity in the power data so as to ensure the normality of the power data. Different ammeter wiring methods can correspond different filtering conditions, as a specific implementation mode, every filtering condition can correspond different filtering standard values, and filtering standard values in the filtering conditions can be used for filtering the electric power data.
In some embodiments, the calculated power data may be filtered according to a filtering condition corresponding to an electric meter connection mode of the power data, a filtering standard value of the filtering condition may be compared with the power data, whether the power data meets the filtering condition is determined, and if the filtering condition is met, the power data corresponding to the power data meeting the filtering condition may be marked as abnormal data.
In other embodiments, the filtering condition may also filter the voltage data and/or the current data of the power data, and determine whether the voltage data and/or the current data are in an abnormal range set in the filtering condition, and if the voltage data and/or the current data are in the abnormal range, that is, the filtering condition is satisfied, the power data corresponding to the voltage data and/or the current data that satisfy the filtering condition may be marked as abnormal data.
And step 250, determining the voltage data and the current data corresponding to the power data meeting the filtering condition as abnormal data, and deleting the abnormal data.
The server can judge whether the calculated power data meet the filtering condition corresponding to the wiring mode of the electric meter, and determine the voltage data and the current data corresponding to the power data meeting the filtering condition as abnormal data, that is, the server can determine the power data corresponding to the power data meeting the filtering condition as abnormal data and delete the power data determined as the abnormal data.
In one embodiment, the power data to be analyzed obtained by the server may include one or more pieces of power data, and each piece of power data may include voltage data, current data, and the like. And calculating power data corresponding to each piece of power data according to the voltage data and the current data included in each piece of power data. And determining the electric meter wiring mode of each piece of electric power data, acquiring one or more filtering conditions corresponding to the electric meter wiring mode, judging whether the power data corresponding to the piece of electric power data meet the one or more filtering conditions, determining that the piece of electric power data is abnormal data if the power data corresponding to the piece of electric power data meet any filtering condition, and deleting the piece of electric power data, thereby finishing the filtering of the electric power data.
In some embodiments, the server may filter the power data to be analyzed in a parallel manner, and may determine whether a plurality of pieces of power data are abnormal data at the same time, so as to improve data processing efficiency. And the server can directly perform online automatic filtering without downloading to the local, thereby further improving the data processing efficiency.
Alternatively, the server may store the filtered power data in a database for subsequent data processing and analysis, such as data conversion, market trend analysis using the power data, and the like, so as to reduce the amount of stored data and improve the accuracy of data processing and analysis.
In the embodiment of the application, power data are calculated through voltage data and current data contained in electric power data to be analyzed, an electric meter wiring mode corresponding to the electric power data is determined, filtering conditions corresponding to the electric meter wiring mode are obtained, the power data are filtered according to the filtering conditions, the voltage data and the current data corresponding to the power data meeting the filtering conditions are determined to be abnormal data, the abnormal data are deleted, the accuracy of abnormal electric power data detection can be improved, the abnormal electric power data can be directly filtered on line automatically, the abnormal electric power data do not need to be downloaded to the local, and the data processing efficiency is improved.
As shown in fig. 3, in an embodiment, when the connection mode of the electric meter is a three-phase four-wire connection mode, the step 240 of obtaining a filtering condition corresponding to the connection mode of the electric meter and filtering the power data according to the filtering condition may include the following steps:
The wiring mode of the electric meter can comprise a three-phase four-wire system wiring mode, a three-phase three-wire system wiring mode and the like. In one embodiment, when the electric meter wiring mode is a three-phase four-wire system wiring mode, one or more filtering conditions corresponding to the three-phase four-wire system wiring mode can be obtained.
In some embodiments, the power data may include active power, and the active power may include total active power and phase active power, where the phase active power refers to active power of each phase of the electric meter, and the total active power refers to total active power of the electric meter. As a specific embodiment, the one or more filtering conditions corresponding to the three-phase four-wire system wiring manner may include: the total active power exceeds a preset multiple of the product of each phase voltage and the current, and the total active power exceeds a preset multiple of the sum of the active power of each phase, and the like, but is not limited thereto.
The voltage data can comprise phase voltages, the phase voltages refer to the voltages between any phase (live wire) and a zero line, and when the wiring mode of the electric meter is a three-phase four-wire system wiring mode, the phase voltages of three phases can be respectively obtained.
And step 306, calculating filtering standard values respectively corresponding to the filtering conditions according to the phase voltage data and the current data based on the filtering conditions.
Each filtering condition can correspond to a filtering standard value, and the filtering standard value can be used for judging whether the calculated power data meets the filtering condition. When the ammeter wiring mode of the electric power data is a three-phase four-wire wiring mode, the filtering standard value corresponding to each filtering condition can be calculated by using the acquired phase voltage and current data of the three phases. For example, if the total active power exceeds 1.5 times of the product of the voltage and the current of each phase, the filtering standard value of the filtering condition is 1.5 times of the product of the voltage and the current of each phase; the filtering condition is that the total active power exceeds 1.5 times of the sum of the active powers of all the phases, and the filtering standard value of the filtering condition is 1.5 times of the sum of the active powers of all the phases, wherein the active power of all the phases can be the product of the voltage effective value and the current effective value of all the phases.
And 308, comparing the active power with a filtering standard value corresponding to the filtering condition, judging whether the active power meets the filtering condition, and filtering the active power meeting the filtering condition.
The server can compare the active power with the filtering standard value corresponding to the filtering condition, and when the active power is greater than the filtering standard value corresponding to the filtering condition, the active power can be determined to meet the filtering condition, and the active power can be determined to be abnormal data. The power data corresponding to the active power meeting the filtering condition can be marked as abnormal data, and the abnormal data is deleted to filter the abnormal power data.
As shown in fig. 4, in an embodiment, when the connection mode of the electric meter is a three-phase three-wire connection mode, the step 240 of obtaining a filtering condition corresponding to the connection mode of the electric meter and filtering the power data according to the filtering condition may include the following steps:
In one embodiment, when the electric meter wiring scheme is a three-phase three-wire scheme, one or more filtering conditions corresponding to the three-phase three-wire scheme may be obtained. In some embodiments, the power data may include active power, which may include total active power and line active power, which refers to active power for each line of the meter. As a specific embodiment, the one or more filtering conditions corresponding to the three-phase three-wire system wiring scheme may include: the total active power exceeds a preset multiple of the product of each line voltage and the current, and the total active power exceeds a preset multiple of the sum of the active power of each line, and the like, but is not limited thereto.
The voltage data may include line voltages, which refer to voltages between two lines in the multi-phase power supply system, and the line voltages between the three lines may be separately obtained when the electricity meter is wired in a three-phase three-wire system.
When the ammeter wiring mode of the electric power data is a three-phase three-wire wiring mode, the filtering standard value corresponding to each filtering condition can be calculated by using the acquired line voltage and current data among the three wires. For example, if the filtering condition is that the total active power exceeds 1.5 times of the product of each line voltage and current, the filtering standard value of the filtering condition is 1.5 times of the product of each line voltage and current; the filtering condition is that the total active power exceeds 1.5 times of the sum of the active powers of the lines, and the filtering standard value of the filtering condition is 1.5 times of the sum of the active powers of the lines, wherein the active power of the lines can be the product of the effective value of the voltage and the effective value of the current of the lines.
And step 408, comparing the active power with a filtering standard value corresponding to the filtering condition, judging whether the active power meets the filtering condition, and filtering the active power meeting the filtering condition.
The server can mark the power data corresponding to the active power meeting the filtering condition as abnormal data and delete the abnormal data so as to filter the abnormal power data.
In some embodiments, the filtering condition may further include a power filtering condition that may filter the active power using the apparent power, e.g., the total active power exceeds a preset multiple of the apparent power, etc. The server can obtain the apparent power corresponding to the electric power data to be analyzed, and calculate the power standard value of the power filtering condition according to the apparent power and the preset multiple, wherein the power standard value can be used for judging whether the active power meets the power filtering condition or not. The power standard value can be compared with the active power, and when the active power is larger than the calculated power standard value, the active power can be determined to meet the power filtering condition, namely the electric power data corresponding to the active power is abnormal data. The electric meter wiring mode which can be simultaneously applied to the power data by the power filtering condition is a three-phase three-wire system wiring mode or a three-phase four-wire system wiring mode, and is not limited to the electric meter wiring mode corresponding to the power filtering condition. The power standard value is calculated by utilizing the preset multiple of the apparent power so as to filter the active power, and the accuracy of data filtering can be improved. It should be noted that the preset multiples mentioned in the above embodiments may be different multiples, and do not need to be consistent.
In some embodiments, the calculated power data may be in different value intervals, and may correspond to different data filtering manners. The server acquires the filtering conditions corresponding to the wiring mode of the ammeter, calculates the filtering standard value of each filtering condition, determines the numerical value interval of the power data, and then performs data filtering by adopting the data filtering mode corresponding to the data interval.
When the active power is in the first numerical value interval, comparing the active power with a filtering standard value corresponding to the filtering condition; when the active power is in the second numerical value interval, the absolute value of the active power can be compared with the filtering standard value corresponding to the filtering condition. In one embodiment, the first range of values can be greater than or equal to 0 and the second range of values can be less than 0. In some embodiments, the power data may also include a total power factor, which may be filtered. When the total power factor meets a preset numerical value condition, the total power factor can be determined to be abnormal data, and the electric power data corresponding to the total power factor is deleted for data filtering. The preset value condition may be, but is not limited to, that the total power factor is greater than or equal to 0. According to the different value intervals of the power data, different data filtering modes are adopted for data filtering, so that the data processing efficiency can be improved, and the accuracy of data filtering is improved.
It should be understood that the above-mentioned filtering conditions are only used for illustrating the embodiments of the present application, and are not limited thereto, and the filtering conditions in the embodiments of the present application may be various and may be set according to the actual requirements.
In the embodiment of the application, the corresponding filtering conditions can be acquired according to the ammeter wiring mode of the electric power data to filter the electric power data to be analyzed, different filtering conditions are set for different ammeter wiring modes, the accuracy of data filtering can be improved, and the data processing efficiency is improved.
As shown in fig. 5, in an embodiment, the power anomaly data filtering method considering the wiring manner further includes the following steps:
When the ammeter wiring mode of the electric power data to be analyzed is a three-phase four-wire system wiring mode, the server filters the electric power data to be analyzed according to the filtering condition corresponding to the three-phase four-wire system wiring mode, and the electric power data obtained through filtering by the filtering condition can be obtained.
And step 504, further detecting whether abnormal data exist in the filtered power data according to a preset harmonic standard limit value, and deleting the existing abnormal data.
When the ammeter wiring mode corresponding to the electric power data to be analyzed is a three-phase four-wire system wiring mode, the server can perform harmonic filtering on the electric power data obtained through filtering under the filtering condition. The waveform of the normal power data is a standard sine wave, for example, the waveform of the normal voltage and the waveform of the normal current are sine waves. If the waveform distortion occurs, the harmonic wave can be determined to be contained, and whether the harmonic wave is within the preset harmonic wave standard limit value can be judged. And if the harmonic wave exceeds the preset harmonic wave standard limit value, determining that the electric power data corresponding to the harmonic wave exceeding the preset harmonic wave standard limit value is abnormal data.
In some embodiments, the server may generate waveform data from the power data and decompose the waveform data. Alternatively, the waveform data may be decomposed by a fourier method or the like, and the harmonic content included in the decomposed waveform data may be determined. Wherein the harmonic content can be expressed in percentage. The preset harmonic standard limit value can be used for limiting whether the harmonic content is in a normal range, for example, if the preset harmonic standard limit value is 5%, the normal range is 0-5%. The server can judge whether the harmonic content is in a normal range according to a preset harmonic standard limit value, and if the harmonic content is not in the normal range, the power data corresponding to the harmonic content which is not in the normal range can be determined as abnormal data.
As a specific embodiment, the power data may include at least one category that may include, but is not limited to, current category, voltage category, power category, electrical category, and the like. Different classes of power data may correspond to different harmonic standard limits, e.g., current class power data and voltage class power data may correspond to different harmonic standard limits. Further, under the same category of power data, a plurality of different harmonic standard limits may be set according to different situations, for example, for different grid nominal voltages, a plurality of different harmonic standard limits may be set, for example, the grid nominal voltage is 110V, and the harmonic standard limit may be 2%. It is to be understood that the above-mentioned harmonic standard limit values are only used for illustrating the embodiments of the present application, and are not used for limiting the embodiments of the present application.
In this application embodiment, when the ammeter wiring mode that the electric power data that treat the analysis correspond is three-phase four-wire system wiring mode, can carry out the harmonic to the electric power data after the prefiltering and filter, further improve the accuracy of data filtering.
In some embodiments, the server may also filter the power data using quantile filtering. After the harmonic filtering is carried out on the three-phase four-wire system electric power data, the electric power data after the harmonic filtering can be filtered again according to the quantiles and the quantiles corresponding to the electric power data, and the electric power data with the abnormity is marked. When the wiring mode of the ammeter corresponding to the electric power data to be analyzed is a three-phase three-wire wiring mode, the electric power data obtained through filtering by the filtering condition can be directly filtered again according to the quantile and the quantile distance without performing harmonic filtering on the electric power data obtained through filtering by the filtering condition.
The server can read the preset amount of power data stored in the database at the latest time. Alternatively, the preset number may be set according to actual requirements, for example, 400, 300, 470, and the like. The read power data is the power data stored in the database after the last filtering. The server can calculate the quantile and the quantile distance according to the preset amount of the power data. The preset number of power data can be arranged from small to large, and the power data corresponding to each sub-site is determined. In some embodiments, the server may divide the arranged power data into four equal parts, may determine three division points of the power data, and calculate power data corresponding to the three division points, that is, quantiles.
The data sequence X {1}, X {2}, X {3} … … X { N } is obtained by arranging a predetermined number of power data in descending order, where N = the predetermined number. Three segmentation points may be determined first, where the first segmentation point a = (N + 1)/4, the second segmentation point B = (N + 1)/2, and the third segmentation point C =3 = (N + 1)/4.
The quantile corresponding to the second segmentation point can be determined according to the odd-even number condition of N. When N is an odd number, the quantile of the second division point is the power data corresponding to the second division point B, that is, the quantile M = X { B } of the second division point. When N is an even number, the integer part y1 of the second division point B is determined, and the quantile of the second division point B is calculated according to the integer part y1 of the second division point B, specifically, the quantile M = (X { y1} + X { y1+1})/2 of the second division point.
The server calculates the quantiles corresponding to the first division point, may first determine the integer part y2 and the fractional part z of the first division point a, and calculate the quantile corresponding to the first division point according to the integer part y2 and the fractional part z of the first division point a. Specifically, the quantile Q1 corresponding to the first segmentation point = X { y2} + z (X { y2+1} -X { y2 }).
The server calculates the quantiles corresponding to the third segmentation point, may first determine the integer part y3 and the fractional part p of the third segmentation point C, and calculate the quantile corresponding to the third segmentation point according to the integer part y3 and the fractional part p of the third segmentation point C. Specifically, the quantile Q3 corresponding to the third segmentation point = X { y3} + p (X { y3+1} -X { y3 }).
After the server calculates the quantiles, the quantile distances may be calculated according to the quantiles, and optionally, the quantile distances of the quartiles may be a difference between a third quartile Q3 and a first quartile Q1, specifically, the quantile distances QR = Q3-Q1. It is to be understood that the quantiles and quantiles are not limited to the quartiles, but may be median, percentile, and the like.
The server can calculate a critical value according to the quantile and the quantile distance, and detect whether the power data has abnormal data according to the critical value. In one embodiment, the threshold values may include a lower threshold value a and a lower threshold value b, and the normal range of the power data may be [ a, b ]. Specifically, the server may calculate the critical value according to the first quartile Q1, the third quartile Q3 and the quantile distance QR, wherein the lower critical value a = max (0, Q1-m × QR), the upper critical value b = Q3+ n × QR, m and n may be constants, and different classes of m and n may set different constant values.
As an embodiment, the server may calculate a lower critical value Ia and an upper critical value Ib corresponding to the current-based power data according to the first quartile IQ1, the third quartile IQ3 and the quantile IQR of the current-based power data, where the lower critical value Ia = max (0, IQ1-20 × IQR) and the upper critical value Ib = IQ3+10 × IQR. As an embodiment, the server may calculate a lower threshold Ua and an upper threshold Ub corresponding to the current power data according to the first quartile UQ1, the third quartile UQ3, and the quantile UQR of the voltage power data, where the lower threshold Ua = max (0, UQ1-5 × UQR) and the upper threshold Ub = UQ3+8 × UQR. It is understood that m and n can be adjusted according to actual requirements, and are not limited to the above.
The server can judge whether the power data exceed the critical value, namely, whether the power data exceed the normal range [ a, b ], and when the power data exceed the critical value, the power data exceeding the critical value can be marked as abnormal power data and eliminated. In some embodiments, the server may determine whether each category of power data exceeds a corresponding threshold. Specifically, the server may determine whether the current data in the power data exceeds the lower critical value Ia and the upper critical value Ib corresponding to the current-type power data. If the current data is lower than the lower critical value Ia or higher than the upper critical value Ib, the current data can be judged to be abnormal data and can be eliminated. The server can also judge whether the voltage data in the power data exceeds a lower critical value Ua and an upper critical value Ub corresponding to the voltage type power data. If the voltage data is lower than the lower critical value Ua or higher than the upper critical value Ub, the voltage data can be judged to be abnormal data, and the voltage data can be removed.
In the embodiment of the application, the electric power data filtered by the filtering condition can be filtered again according to the quantile and the quantile distance, and the electric power data with abnormity can be accurately removed. And the quantiles and the quantile distances to be analyzed at this time can be calculated according to the power data filtered last time, so that the accuracy of data filtering is improved, and the data filtering efficiency is improved.
In one embodiment, a method for filtering power anomaly data considering a wiring mode is provided, which comprises the following steps:
step (1), obtaining electric power data to be analyzed, wherein the electric power data comprises voltage data and current data.
And (2) calculating power data according to the voltage data and the current data.
And (3) determining an ammeter wiring mode corresponding to the electric power data.
And (4) obtaining a filtering condition corresponding to the wiring mode of the ammeter, and filtering the power data according to the filtering condition.
In one embodiment, the power data includes active power; when the wiring mode of the electric meter is a three-phase four-wire system wiring mode, the step (4) comprises the following steps: acquiring one or more filtering conditions corresponding to a three-phase four-wire system wiring mode; acquiring a plurality of phase voltages according to the voltage data; calculating a filtering standard value corresponding to each filtering condition according to the phase voltage data and the current data based on the filtering condition; and comparing the active power with a filtering standard value corresponding to the filtering condition, judging whether the active power meets the filtering condition, and filtering the active power meeting the filtering condition.
In one embodiment, the power data includes active power; when the wiring mode of the electric meter is a three-phase three-wire wiring mode, the step (4) comprises the following steps: acquiring one or more filtering conditions corresponding to a three-phase three-wire system wiring mode; acquiring a plurality of line voltages according to the voltage data; calculating a filtering standard value corresponding to each filtering condition according to the line voltage and current data based on the filtering condition; and comparing the active power with a filtering standard value corresponding to the filtering condition, judging whether the active power meets the filtering condition, and filtering the active power meeting the filtering condition.
In one embodiment, the power data further includes apparent power; the step (4) comprises the following steps: acquiring power filtering conditions corresponding to the wiring mode of the ammeter, wherein the power filtering conditions comprise preset multiples; calculating a power standard value according to the apparent power and a preset multiple; and comparing the active power with a power standard value, and determining that the active power meets a power filtering condition when the active power is greater than the power standard value.
In one embodiment, the power data further includes a total power factor; comparing the active power with a filtering standard value corresponding to a filtering condition, wherein the step comprises the following steps of: when the active power is in a first numerical value interval, comparing the active power with a filtering standard value corresponding to the filtering condition; when the active power is in the second numerical value interval, comparing the absolute value of the active power with a filtering standard value corresponding to the filtering condition; and when the total power factor meets a preset numerical condition, filtering the total power meeting the preset numerical condition.
And (5) determining the voltage data and the current data corresponding to the power data meeting the filtering condition as abnormal data, and deleting the abnormal data.
In an embodiment, when the connection mode of the electric meter is a three-phase four-wire connection mode, the method for filtering the abnormal power data considering the connection mode further includes: acquiring power data obtained by filtering through filtering conditions; and further detecting whether abnormal data exist in the filtered power data according to a preset harmonic standard limit value, and deleting the existing abnormal data.
In one embodiment, the step of further detecting whether there is abnormal data in the filtered power data according to a preset harmonic standard limit includes: generating waveform data according to the filtered power data; decomposing the waveform data and determining the harmonic content contained in the waveform data; and judging whether the harmonic content is in a normal range or not according to a preset harmonic standard limit value, and if not, determining the electric power data corresponding to the harmonic content which is not in the normal range as abnormal data.
In the embodiment of the application, power data are calculated through voltage data and current data contained in electric power data to be analyzed, an electric meter wiring mode corresponding to the electric power data is determined, filtering conditions corresponding to the electric meter wiring mode are obtained, the power data are filtered according to the filtering conditions, the voltage data and the current data corresponding to the power data meeting the filtering conditions are determined to be abnormal data, the abnormal data are deleted, the accuracy of abnormal electric power data detection can be improved, the abnormal electric power data can be directly filtered on line automatically, the abnormal electric power data do not need to be downloaded to the local, and the data processing efficiency is improved.
As shown in fig. 6, in one embodiment, a power anomaly data filtering apparatus 600 considering wiring manner is provided, which includes a data acquisition module 610, a power calculation module 620, a wiring manner determination module 630, a filtering module 640, and a deletion module 650.
The data acquiring module 610 is configured to acquire power data to be analyzed, where the power data includes voltage data and current data.
And a power calculating module 620 for calculating power data according to the voltage data and the current data.
And a wiring mode determining module 630, configured to determine a wiring mode of the electric meter corresponding to the electric power data.
And the filtering module 640 is configured to obtain a filtering condition corresponding to the connection mode of the electric meter, and filter the power data according to the filtering condition.
And the deleting module 650 is configured to determine voltage data and current data corresponding to the power data meeting the filtering condition as abnormal data, and delete the abnormal data.
In the embodiment of the application, power data are calculated through voltage data and current data contained in electric power data to be analyzed, an electric meter wiring mode corresponding to the electric power data is determined, filtering conditions corresponding to the electric meter wiring mode are obtained, the power data are filtered according to the filtering conditions, the voltage data and the current data corresponding to the power data meeting the filtering conditions are determined to be abnormal data, the abnormal data are deleted, the accuracy of abnormal electric power data detection can be improved, the abnormal electric power data can be directly filtered on line automatically, the abnormal electric power data do not need to be downloaded to the local, and the data processing efficiency is improved.
In one embodiment, the filtering module 640 includes a condition obtaining unit, a voltage obtaining unit, a standard value calculating unit, and a comparing unit.
In one embodiment, the power data includes active power, and when the connection mode of the electric meter is a three-phase four-wire connection mode, the condition obtaining unit is configured to obtain one or more filtering conditions corresponding to the three-phase four-wire connection mode.
And the voltage acquisition unit is used for acquiring a plurality of phase voltages according to the voltage data.
And the standard value calculating unit is used for calculating filtering standard values corresponding to the filtering conditions respectively according to the phase voltage data and the current data based on the filtering conditions.
And the comparison unit is used for comparing the active power with the filtering standard value corresponding to the filtering condition, judging whether the active power meets the filtering condition or not, and filtering the active power meeting the filtering condition.
In one embodiment, the power data includes active power, and the condition obtaining unit is further configured to obtain one or more filtering conditions corresponding to a three-phase three-wire system wiring system when the electric meter wiring system is the three-phase three-wire system wiring system.
And the voltage acquisition unit is also used for acquiring a plurality of line voltages according to the voltage data.
And the standard value calculating unit is also used for calculating a filtering standard value corresponding to each filtering condition according to the plurality of line voltage and current data based on the filtering condition.
In one embodiment, the power data further includes apparent power.
And the condition acquisition unit is also used for acquiring a power filtering condition corresponding to the wiring mode of the ammeter, wherein the power filtering condition comprises a preset multiple.
And the standard value calculating unit is also used for calculating a power standard value according to the apparent power and the preset multiple.
And the comparison unit is also used for comparing the active power with the power standard value, and when the active power is greater than the power standard value, determining that the active power meets the power filtering condition.
In one embodiment, the power data further includes a total power factor.
The comparison unit is further used for comparing the active power with the filtering standard value corresponding to the filtering condition when the active power is in the first numerical value interval, comparing the absolute value of the active power with the filtering standard value corresponding to the filtering condition when the active power is in the second numerical value interval, and filtering the total power meeting the preset numerical value condition when the total power factor meets the preset numerical value condition.
In the embodiment of the application, the corresponding filtering conditions can be acquired according to the ammeter wiring mode of the electric power data to filter the electric power data to be analyzed, different filtering conditions are set for different ammeter wiring modes, the accuracy of data filtering can be improved, and the data processing efficiency is improved.
In one embodiment, the power anomaly data filtering apparatus 600 considering the wiring manner further includes a harmonic filtering module in addition to the data acquiring module 610, the power calculating module 620, the wiring manner determining module 630, the filtering module 640, and the deleting module 650.
When the connection mode of the electric meter is a three-phase four-wire connection mode, the data obtaining module 610 is further configured to obtain the electric power data obtained through filtering by the filtering condition.
And the harmonic filtering module is used for further detecting whether abnormal data exists in the filtered electric power data according to a preset harmonic standard limit value and deleting the existing abnormal data.
In one embodiment, the harmonic filtering module comprises a generating unit, a decomposing unit and a judging unit.
And the generating unit is used for generating waveform data according to the filtered power data.
And the decomposition unit is used for decomposing the waveform data and determining the harmonic content contained in the waveform data.
And the judging unit is used for judging whether the harmonic content is in a normal range according to a preset harmonic standard limit value, and if not, determining the electric power data corresponding to the harmonic content which is not in the normal range as abnormal data.
In this application embodiment, when the ammeter wiring mode that the electric power data that treat the analysis correspond is three-phase four-wire system wiring mode, can carry out the harmonic to the electric power data after the prefiltering and filter, further improve the accuracy of data filtering.
Fig. 7 is a block diagram of an electronic device in one embodiment. As shown in fig. 7, in one embodiment, the electronic device 700 may be a server. Electronic device 700 may include one or more of the following components: a processor 710 and a memory 720, wherein one or more application programs may be stored in the memory 720 and configured to be executed by the one or more processors 710, the one or more programs configured to perform the methods as described above.
The Memory 720 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). The memory 720 may be used to store instructions, programs, code sets, or instruction sets. The memory 720 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for implementing at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the various method embodiments described above, and the like. The storage data area may also store data created during use by the electronic device 700, and the like.
It is understood that the electronic device 700 may include more or less structural elements than those shown in the above structural block diagrams, and is not limited thereto.
In an embodiment, a computer-readable storage medium is also provided, on which a computer program is stored, which, when being executed by a processor, carries out the method as described in the above embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), or the like.
Any reference to memory, storage, database, or other medium as used herein may include non-volatile and/or volatile memory. Suitable non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM), which acts as external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM), synchronous Link (Synchlink) DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and bus dynamic RAM (RDRAM).
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A power abnormal data filtering method considering a wiring mode is characterized by comprising the following steps:
acquiring power data to be analyzed, wherein the power data comprises voltage data and current data;
calculating power data according to the voltage data and the current data;
determining an ammeter wiring mode corresponding to the electric power data;
acquiring a filtering condition corresponding to the wiring mode of the ammeter, and filtering the power data according to the filtering condition;
and determining voltage data and current data corresponding to the power data meeting the filtering condition as abnormal data, and deleting the abnormal data.
2. The method of claim 1, wherein the power data comprises active power;
when the ammeter mode of connection is three-phase four-wire system mode of connection, acquire with the filtration condition that ammeter mode of connection corresponds, and filter according to the filtration condition the power data includes:
acquiring one or more filtering conditions corresponding to the three-phase four-wire system wiring mode;
acquiring a plurality of phase voltages according to the voltage data;
calculating a filtering standard value corresponding to each filtering condition according to the phase voltage data and the current data based on the filtering condition;
and comparing the active power with a filtering standard value corresponding to the filtering condition, judging whether the active power meets the filtering condition, and filtering the active power meeting the filtering condition.
3. The method of claim 1, wherein the power data comprises active power;
when the ammeter wiring mode is a three-phase three-wire system wiring mode, acquiring a filtering condition corresponding to the ammeter wiring mode, and filtering the power data according to the filtering condition, including:
acquiring one or more filtering conditions corresponding to the three-phase three-wire system wiring mode;
acquiring a plurality of line voltages according to the voltage data;
based on the filtering conditions, calculating filtering standard values respectively corresponding to the filtering conditions according to the line voltage data and the current data;
and comparing the active power with a filtering standard value corresponding to the filtering condition, judging whether the active power meets the filtering condition, and filtering the active power meeting the filtering condition.
4. The method of any of claims 2 or 3, wherein the power data further comprises apparent power;
the acquiring of the filtering condition corresponding to the connection mode of the ammeter and the filtering of the power data according to the filtering condition comprise:
acquiring power filtering conditions corresponding to the wiring mode of the ammeter, wherein the power filtering conditions comprise preset multiples;
calculating a power standard value according to the apparent power and the preset multiple;
and comparing the active power with the power standard value, and determining that the active power meets the power filtering condition when the active power is greater than the power standard value.
5. The method of any of claims 2 or 3, wherein the power data further comprises a total power factor; the comparing the active power with a filtering standard value corresponding to the filtering condition includes:
when the active power is in a first numerical value interval, comparing the active power with a filtering standard value corresponding to the filtering condition;
when the active power is in a second numerical value interval, comparing the absolute value of the active power with a filtering standard value corresponding to the filtering condition;
and when the total power factor meets a preset numerical value condition, filtering the total power meeting the preset numerical value condition.
6. The method of claim 1, wherein when the electricity meter is wired in a three-phase four-wire system, the method further comprises:
acquiring power data obtained by filtering the filtering condition;
and further detecting whether abnormal data exist in the filtered power data according to a preset harmonic standard limit value, and deleting the existing abnormal data.
7. The method of claim 6, wherein the further detecting whether abnormal data exists in the filtered power data according to a preset harmonic standard limit comprises:
generating waveform data according to the filtered power data;
decomposing the waveform data and determining the harmonic content contained in the waveform data;
and judging whether the harmonic content is in a normal range or not according to a preset harmonic standard limit value, and if not, determining the electric power data corresponding to the harmonic content which is not in the normal range as abnormal data.
8. A power abnormality data filtering device considering a wiring manner, comprising:
the data acquisition module is used for acquiring power data to be analyzed, wherein the power data comprises voltage data and current data;
the power calculation module is used for calculating power data according to the voltage data and the current data;
the wiring mode determining module is used for determining the wiring mode of the ammeter corresponding to the electric power data;
the filtering module is used for acquiring filtering conditions corresponding to the wiring mode of the ammeter and filtering the power data according to the filtering conditions;
and the deleting module is used for determining the voltage data and the current data corresponding to the power data meeting the filtering condition as abnormal data and deleting the abnormal data.
9. An electronic device comprising a memory and a processor, the memory having stored therein a computer program that, when executed by the processor, causes the processor to carry out the method of any of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1 to 7.
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Application publication date: 20200922 |