CN115267644A - Method and device for detecting misalignment of electric energy meter - Google Patents
Method and device for detecting misalignment of electric energy meter Download PDFInfo
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Abstract
The invention discloses a method and a device for detecting misalignment of an electric energy meter, wherein the method comprises the following steps: acquiring initial electric energy data of each electric energy meter in each area, and performing data preprocessing on the initial electric energy data to obtain preprocessed target electric energy data; substituting the power supply amount of the total table of the distribution room and the power consumption amount of users of the distribution room corresponding to the target electric energy data into a preset energy conservation formula; unknown values in the energy conservation formula comprise misalignment rate of the electric energy meter, line loss rate of a transformer area and a fixed loss value; updating the power supply quantity of a total table of the station area and the power consumption quantity of users of the station area in the energy conservation formula according to a preset time period; solving an unknown value in the latest energy conservation formula by using a least square method to obtain the misalignment rate of the electric energy meter; and determining the misalignment electric energy meter from the electric energy meters based on the misalignment rate of the electric energy meter. The invention can improve the misalignment detection effect of the electric energy meter.
Description
Technical Field
The invention relates to the field of electronic equipment, in particular to a method and a device for detecting misalignment of an electric energy meter.
Background
The traditional electric energy meter misalignment detection is that the electric energy meter is manually disassembled to be detected, so that the misalignment rate of the electric energy meter is obtained. With the continuous development of large power data, the misalignment rate of the electric energy meter can be intelligently estimated based on a genetic algorithm technology and a pattern search technology.
In practice, it is found that in the process of intelligently estimating the misalignment rate of the electric energy meter based on a genetic algorithm technology and a pattern search technology, the influence of each factor on the error of the electric energy meter needs to be dynamically estimated. However, the current estimation of the error has a problem of poor accuracy, so that the effect of mis-detecting the electric energy meter is not good.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides a method and a device for detecting misalignment of an electric energy meter, which are used for at least improving the misalignment detection effect of the electric energy meter.
According to an aspect of the embodiments of the present invention, there is provided a method for detecting misalignment of a power meter, including: acquiring initial electric energy data of each electric energy meter in each area, and performing data preprocessing on the initial electric energy data to obtain preprocessed target electric energy data; substituting the power supply amount of the total table of the station area and the power consumption amount of the users of the station area corresponding to the target electric energy data into a preset energy conservation formula; unknown values in the energy conservation formula comprise an electric energy meter misalignment rate, a station area line loss rate and a fixed loss value; updating the power supply quantity of the total table of the station area and the power consumption quantity of users of the station area in the energy conservation formula according to a preset time period; solving an unknown value in the latest energy conservation formula by using a least square method to obtain the misalignment rate of the electric energy meter; and determining the misaligned electric energy meter from the electric energy meters based on the misalignment rate of the electric energy meter.
As an optional implementation manner, the performing data preprocessing on the initial electric energy data to obtain preprocessed target electric energy data includes: acquiring initial electric energy master meter data and initial electric energy sub meter data in the initial electric energy data; rejecting abnormal data in the initial electric energy general meter data based on a first preset condition to obtain target electric energy general meter data; rejecting abnormal data in the initial electric energy sub-meter data based on a second preset condition to obtain target electric energy sub-meter data; and determining the target electric energy data based on the target electric energy general meter data and the target electric energy sub-meter data.
As an optional embodiment, the first preset condition includes at least one of: the number of the distribution area general tables is larger than a preset number threshold, the number of the distribution area household tables is zero, and the number of data days is smaller than a preset number of days threshold.
As an optional implementation, the second preset condition includes at least one of the following: the power supply of the transformer area is zero, and the power loss of the transformer area is less than zero.
As an alternative embodiment, the energy conservation formula is as follows:
wherein y is the power supply of the distribution room total table, ejFor the misalignment rate of the jth user power meter,
the power consumption of the electric energy meter of the jth user, eyIs the line loss rate of the station area, e0Is the fixed loss value.
As an optional implementation, the method further includes: carrying out weighted average on the updated power supply amount of the total table of the distribution area and the power consumption of the users in the distribution area, and constructing a weighted average matrix; and updating the energy conservation formula by using the weighted average matrix.
According to another aspect of the embodiments of the present invention, there is also provided an apparatus for detecting misalignment of an electric energy meter, including: the data preprocessing unit is configured to acquire initial electric energy data of each electric energy meter in each area, and perform data preprocessing on the initial electric energy data to obtain preprocessed target electric energy data; the equation construction unit is configured to substitute the total table power supply amount and the table user power consumption amount corresponding to the target electric energy data into a preset energy conservation formula; unknown values in the energy conservation formula comprise an electric energy meter misalignment rate, a station area line loss rate and a fixed loss value; the equation reconstruction unit is configured to update the total table power supply amount of the distribution area and the power consumption amount of the distribution area users in the energy conservation formula according to a preset time period; the misalignment rate calculation unit is configured to solve an unknown value in the latest energy conservation formula by using a least square method to obtain the misalignment rate of the electric energy meter; a misalignment energy meter determination unit configured to determine a misalignment energy meter from among the energy meters based on the energy meter misalignment rate.
As an optional embodiment, the data preprocessing unit is further configured to: acquiring initial electric energy master meter data and initial electric energy sub meter data in the initial electric energy data; rejecting abnormal data in the initial electric energy general meter data based on a first preset condition to obtain target electric energy general meter data; rejecting abnormal data in the initial electric energy sub-meter data based on a second preset condition to obtain target electric energy sub-meter data; and determining the target electric energy data based on the target electric energy general meter data and the target electric energy sub-meter data.
As an optional implementation, the first preset condition includes at least one of the following: the number of the table area general tables is larger than a preset number threshold, the number of the table area household tables is zero, and the number of data days is smaller than a preset number threshold.
As an optional implementation, the second preset condition includes at least one of the following: the power supply of the transformer area is zero, and the power loss of the transformer area is less than zero.
As an alternative embodiment, the energy conservation formula is as follows:
wherein y is the power supply of the table area general table, ejFor the misalignment rate of the jth user power meter,
the power consumption of the electric energy meter of the jth user, eyIs the line loss rate of the station area, e0Is the fixed loss value.
As an alternative embodiment, the equation reconstruction unit is further configured to: carrying out weighted average on the updated power supply amount of the total table of the distribution area and the power consumption of the users in the distribution area, and constructing a weighted average matrix; and updating the energy conservation formula by using the weighted average matrix.
According to a further aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium, in which a computer program is stored, wherein the computer program is arranged to execute the above-mentioned power meter misalignment detection method when running.
According to another aspect of the embodiments of the present invention, there is also provided an electronic apparatus, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the above-mentioned method for detecting misalignment of an electric energy meter by using the computer program.
In the embodiment of the invention, the target electric energy data can be obtained by performing data preprocessing on the initial electric energy data, and the electric energy detection is performed based on the target electric energy data, so that the accuracy of electric energy detection can be improved. And the misalignment rate of the electric energy meter is calculated through an energy conservation formula, the electric energy meter is closer to the electric power service scene, and the calculated misalignment rate of the electric energy meter has stronger interpretability. And the power supply amount of the total table of the station area and the power consumption amount of users of the station area are updated according to the preset time period, so that the reliability of data calculation can be improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention and do not constitute a limitation of the invention. In the drawings:
FIG. 1 is a flow diagram of an alternative power meter misalignment detection method according to an embodiment of the invention;
FIG. 2 is a flow diagram of an alternative power meter misalignment detection method according to an embodiment of the invention;
FIG. 3 is a schematic diagram of an alternative power meter misalignment detection arrangement according to an embodiment of the invention;
fig. 4 is a schematic structural diagram of an alternative electronic device according to an embodiment of the invention.
Detailed Description
In order to make those skilled in the art better understand the technical solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
An embodiment of the present invention provides an optional misalignment detection method for an electric energy meter, as shown in fig. 1, the misalignment detection method for an electric energy meter includes:
s101, acquiring initial electric energy data of each electric energy meter in each area, and performing data preprocessing on the initial electric energy data to obtain preprocessed target electric energy data.
In this embodiment, the execution subject may be a terminal device or a server. When the misalignment rate of the electric energy meter is calculated and the misaligned electric energy meter is determined, the execution main body may first obtain initial electric energy data corresponding to each electric energy meter in each distribution area from the electronic device which is locally or is connected in advance. The initial power data may include, but is not limited to, a total power supply amount of each distribution area, a total power consumption amount of each distribution area, a power supply amount of each distribution area, a power consumption amount of each power meter, a line loss rate, a fixed loss, and the like, which is not limited in this embodiment.
And after the execution main body obtains the initial electric energy data, the execution main body can carry out data preprocessing on the initial electric energy data to obtain preprocessed target electric energy data. The data preprocessing may include, but is not limited to, exception data culling, data summarization calculation, and the like, which is not limited in this embodiment. When the abnormal data in the initial power data is removed, all data corresponding to the abnormal distribution area and the abnormal data in the normal distribution area may be removed, which is not limited in this embodiment.
S102, substituting the power supply amount of the total table of the distribution room and the power consumption amount of users of the distribution room corresponding to the target electric energy data into a preset energy conservation formula; the unknown values in the energy conservation formula comprise an electric energy meter misalignment rate, a transformer area line loss rate and a fixed loss value.
In this embodiment, the execution main body may directly read the total table power supply amount and the table user power consumption amount from the target power data, or may perform data analysis and calculation on the target power data to obtain the total table power supply amount and the table user power consumption amount, which is not limited in this embodiment. The power supply amount of the total power supply table in the power distribution area is the total power supply amount of each power distribution area, and the power consumption amount of users in the power distribution area can be the power consumption amount of each user in each power distribution area. The preset energy conservation formula can be an electric energy formula constructed based on the physical principle of misalignment of an electric energy meter in an electric power service scene. The unknown values in the energy conservation formula may include a power meter misalignment rate, a block line loss rate, and a fixed loss value.
And S103, updating the power supply quantity of the distribution room total table and the power consumption quantity of the distribution room users in the energy conservation formula according to a preset time period.
In this embodiment, the predetermined time period may be a predetermined period for reconstructing the energy conservation formula, for example, a time period every 7 days. The execution main body can update the power supply quantity of the total table of the station area and the power consumption quantity of the users of the station area according to the time period, so that the real-time performance of data is improved, and the precision and the real-time performance of the detection of the inaccurate electric energy meter can be improved.
Specifically, the execution main body may obtain an increment of a total table power supply amount of the distribution room corresponding to the time period and an increment of a power consumption amount of a user in the distribution room. The executive may then update the block total table power usage and block consumer power usage based on the delta.
And S104, solving the unknown value in the latest energy conservation formula by using a least square method to obtain the misalignment rate of the electric energy meter.
In this embodiment, the execution subject may solve the energy conservation equation by using a least square method, and output the misalignment rate of each user electric energy meter, the line loss rate of the distribution area, and the fixed loss, where the misalignment rate of each user electric energy meter is the misalignment rate of the electric energy meter obtained by calculation.
And S105, determining the misalignment electric energy meter from the electric energy meters based on the misalignment rate of the electric energy meter.
In this embodiment, the execution main body may determine the electric energy meter with the misalignment rate reaching the preset threshold as the misaligned electric energy meter. The executive body can output the misalignment electric energy meters, so that further overhaul and maintenance are facilitated.
In the embodiment of the invention, the target electric energy data can be obtained by performing data preprocessing on the initial electric energy data, and the electric energy detection is performed based on the target electric energy data, so that the accuracy of electric energy detection can be improved. And the misalignment rate of the electric energy meter is calculated through an energy conservation formula, the electric energy meter is closer to the electric power service scene, and the calculated misalignment rate of the electric energy meter has stronger interpretability. And the power supply amount of the distribution area total table and the power consumption amount of the distribution area users are updated according to the preset time period, so that the reliability of data calculation can be improved.
Further, another alternative power meter misalignment detection method is provided in the embodiments of the present invention, as shown in fig. 2, the power meter misalignment detection method includes:
s201, acquiring initial electric energy data of each electric energy meter in each distribution area, and acquiring initial electric energy general meter data and initial electric energy sub meter data in the initial electric energy data.
In this embodiment, the execution subject may be a terminal device or a server. When the misalignment rate of the electric energy meter is calculated and the misaligned electric energy meter is determined, the execution main body may first obtain initial electric energy data corresponding to each electric energy meter in each distribution area from the electronic device which is locally or is connected in advance. The initial power data may include, but is not limited to, a total power supply amount of each distribution room, a total power consumption amount of each distribution room, a power supply amount of each distribution room, a power consumption amount of each power meter, a line loss rate, a fixed loss, and the like, which is not limited in this embodiment.
And after the execution main body obtains the initial electric energy data, the execution main body can carry out data preprocessing on the initial electric energy data to obtain preprocessed target electric energy data. The data preprocessing may include, but is not limited to, exception data culling, data summarization calculation, and the like, which is not limited in this embodiment. When the abnormal data in the initial power data is removed, all data corresponding to the abnormal distribution area and the abnormal data in the normal distribution area may be removed, which is not limited in this embodiment.
S202, rejecting abnormal data in the initial electric energy general meter data based on a first preset condition to obtain target electric energy general meter data; and rejecting abnormal data in the initial electric energy sub-meter data based on a second preset condition to obtain target electric energy sub-meter data.
In this embodiment, the initial electric energy total meter data is preferably summarized as daily electric energy data of each district of the last year, and the initial electric energy sub-meter data is preferably summarized as daily electric energy data of each district of the last year. The execution main body can respectively reject abnormal data in the initial electric energy general meter data and the initial electric energy sub-meter data based on a first preset condition and a second preset condition. The mode of calculating by daily granularity measurement data has low acquisition cost and strong practicability. And before the misalignment rate of the electric energy meter is calculated, according to the power utilization topological structure, preprocessing is firstly carried out on upstream data, wherein the upstream data comprises a station area general table topological relation error, no general table data and the like, so that the negative influence of inevitable abnormal data of the electric power metering equipment on calculation is reduced, and the reliability is increased.
In some optional implementations of this embodiment, the first preset condition includes at least one of: the number of the table area general tables is larger than a preset number threshold, the number of the table area household tables is zero, and the number of data days is smaller than a preset number threshold.
In this implementation manner, the execution main body may reject the abnormal data of the distribution area according to statistics that a plurality of summary tables exist in one distribution area, judgment of the abnormal problem of the summary table of the distribution area without the summary table, and judgment of the abnormal problem of the data of the distribution area according to data of whether a data point is greater than 200 days. Specifically, the execution main body may determine whether the number of the table area summary tables is greater than 1, whether the number of the subscriber tables in the table area is 0, and whether the number of data days is less than 200 days, and reject the abnormal data meeting the first preset condition.
In some optional implementations of this embodiment, the second preset condition includes at least one of: the power supply of the transformer area is zero, and the power loss of the transformer area is less than zero.
In this implementation, the execution main body may determine the problem of the data in the distribution room according to whether the supply power is 0, and whether the loss power is less than 0, determine the problem of the data in the distribution room according to whether the calculated daily average power of the user is less than 3, and reject the problem of the data in the distribution room and the daily data of the problem of the data in the user. Specifically, the execution main body may determine whether the power supply amount to the distribution room is 0, and the power loss amount to the distribution room is less than 0, and reject the abnormal data satisfying the second preset condition.
S203, determining the target electric energy data based on the target electric energy general meter data and the target electric energy sub-meter data.
In this embodiment, the execution subject may use the target electric energy total meter data and the target electric energy sub meter data as the target electric energy data.
S204, substituting the power supply amount of the total distribution room meter corresponding to the target electric energy data and the power consumption amount of users of the distribution room into a preset energy conservation formula; the unknown values in the energy conservation formula comprise an electric energy meter misalignment rate, a station area line loss rate and a fixed loss value.
In some optional implementations of this embodiment, the energy conservation formula is as follows:
wherein y is the power supply of the table area general table, ejFor the misalignment rate of the jth user power meter,
the power consumption of the electric energy meter of the jth user, eyIs the line loss rate of the station area, e0Is the fixed loss value.
In this implementation, the execution subject may respectively construct the energy conservation formulas by using the data of the last year to form the energy conservation equation set. The process combines a topological structure with a power physical principle, carries out data modeling based on energy conservation, better accords with the misalignment physical principle of the electric energy meter, is close to a power service scene, and has high interpretability.
And S205, updating the power supply quantity of the total table of the distribution room and the power consumption quantity of users in the distribution room in the energy conservation formula according to a preset time period.
In this embodiment, the predetermined time period may be a predetermined period for reconstructing the energy conservation formula, for example, a time period every 7 days. The execution main body can update the power supply quantity of the total table of the station area and the power consumption quantity of the users of the station area according to the time period, so that the real-time performance of data is improved, and the precision and the real-time performance of the detection of the inaccurate electric energy meter can be improved. In the calculation process, aiming at the condition of data contingency data, balance fluctuation processing is carried out by setting a calculation period, so that the influence of data abnormal points on the misalignment of the electric energy meter is reduced, and the stability is improved.
And S206, carrying out weighted average on the updated power supply quantity of the distribution area total table and the power consumption quantity of the distribution area users, and constructing a weighted average matrix.
In this embodiment, the execution subject may take 7 days as a period, and perform split weighted average reconstruction on the energy conservation equation set, where the weights are power supply amount in the distribution area and power consumption amount of users under the distribution area, and reconstruct the energy conservation equation set according to the weighted average result. Wherein the weighted average matrix is as follows:
and S207, updating the energy conservation formula by using the weighted average matrix.
In this embodiment, the execution subject may reconstruct the energy conservation formula based on the matrix to obtain an updated energy conservation formula.
And S208, solving the unknown value in the latest energy conservation formula by using a least square method to obtain the misalignment rate of the electric energy meter.
In this embodiment, the execution subject may solve the energy conservation equation by using a least square method, and output the misalignment rate of each user electric energy meter, the line loss rate of the distribution area, and the fixed loss, where the misalignment rate of each user electric energy meter is the misalignment rate of the electric energy meter obtained through calculation. Specifically, the execution subject may iteratively solve the N energy conservation formula equations by using a least square method, where the solutions of the equations are the error rate of the electric energy meter, the line loss, and the fixed loss.
S209, determining the misalignment electric energy meter from each electric energy meter based on the misalignment rate of the electric energy meter.
In this embodiment, the execution main body may determine the electric energy meter with the misalignment rate reaching the preset threshold as the misaligned electric energy meter. The executive body can output the misalignment electric energy meters, so that further overhaul and maintenance are facilitated.
In the embodiment of the invention, the target electric energy data can be obtained by performing data preprocessing on the initial electric energy data, and the electric energy detection is performed based on the target electric energy data, so that the accuracy of electric energy detection can be improved. And the misalignment rate of the electric energy meter is calculated through an energy conservation formula, so that the electric energy meter is closer to an electric power service scene, and the calculated misalignment rate of the electric energy meter is higher in interpretability. And the power supply amount of the total table of the station area and the power consumption amount of users of the station area are updated according to the preset time period, so that the reliability of data calculation can be improved.
It should be noted that for simplicity of description, the above-mentioned method embodiments are shown as a series of combinations of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art will appreciate that the embodiments described in this specification are presently preferred and that no acts or modules are required by the invention.
According to another aspect of the embodiments of the present invention, there is also provided an electric energy meter misalignment detection apparatus for implementing the electric energy meter misalignment detection method. As shown in fig. 3, the apparatus includes:
the data preprocessing unit 301 is configured to obtain initial electric energy data of each electric energy meter in each area, and perform data preprocessing on the initial electric energy data to obtain preprocessed target electric energy data;
the equation construction unit 302 is configured to substitute the total table power supply amount of the distribution room and the user power consumption amount of the distribution room corresponding to the target electric energy data into a preset energy conservation formula; unknown values in the energy conservation formula comprise an electric energy meter misalignment rate, a transformer area line loss rate and a fixed loss value;
an equation reconstruction unit 303 configured to update the total table power supply amount of the distribution room and the power consumption amount of the distribution room users in the energy conservation formula according to a preset time period;
the misalignment rate calculation unit 304 is configured to solve an unknown value in the latest energy conservation formula by using a least square method to obtain the misalignment rate of the electric energy meter;
a misalignment power meter determination unit 305 configured to determine a misalignment power meter from among the power meters based on the power meter misalignment rate.
As an optional implementation, the data preprocessing unit 301 is further configured to: acquiring initial electric energy master meter data and initial electric energy sub meter data in the initial electric energy data; rejecting abnormal data in the initial electric energy general meter data based on a first preset condition to obtain target electric energy general meter data; rejecting abnormal data in the initial electric energy sub-meter data based on a second preset condition to obtain target electric energy sub-meter data; and determining the target electric energy data based on the target electric energy general meter data and the target electric energy sub-meter data.
As an optional implementation, the first preset condition includes at least one of the following: the number of the table area general tables is larger than a preset number threshold, the number of the table area household tables is zero, and the number of data days is smaller than a preset number threshold.
As an optional implementation, the second preset condition includes at least one of the following: the power supply of the transformer area is zero, and the power loss of the transformer area is less than zero.
As an alternative embodiment, the energy conservation formula is as follows:
wherein y is the power supply of the table area general table, ejFor the misalignment rate of the jth user power meter,
for the electricity consumption of the electric energy meter of the jth subscriber, eyIs the line loss rate of the station area, e0Is the fixed loss value.
As an alternative implementation, the equation reconstructing unit 303 is further configured to: carrying out weighted average on the updated power supply amount of the total table of the distribution area and the power consumption of the users in the distribution area, and constructing a weighted average matrix; and updating the energy conservation formula by using the weighted average matrix.
It should be noted that, for the detailed description of the misalignment detection apparatus for an electric energy meter, please refer to the detailed description of the misalignment detection method for an electric energy meter, which is not described herein again.
In the embodiment of the invention, the target electric energy data can be obtained by performing data preprocessing on the initial electric energy data, and the electric energy detection is performed based on the target electric energy data, so that the accuracy of electric energy detection can be improved. And the misalignment rate of the electric energy meter is calculated through an energy conservation formula, so that the electric energy meter is closer to an electric power service scene, and the calculated misalignment rate of the electric energy meter is higher in interpretability. And the power supply amount of the total table of the station area and the power consumption amount of users of the station area are updated according to the preset time period, so that the reliability of data calculation can be improved.
According to yet another aspect of the embodiments of the present invention, there is also provided an electronic device for implementing the method for detecting misalignment of a power meter, as shown in fig. 4, the electronic device includes a memory 402 and a processor 404, the memory 402 stores a computer program, and the processor 404 is configured to execute the steps of any one of the method embodiments through the computer program.
Optionally, in this embodiment, the electronic device may be located in at least one network device of a plurality of network devices of a computer network.
Optionally, in this embodiment, the processor may be configured to execute the following steps by a computer program:
s1, acquiring initial electric energy data of each electric energy meter in each area, and performing data preprocessing on the initial electric energy data to obtain preprocessed target electric energy data;
s2, substituting the power supply amount of the total table of the station area and the power consumption amount of the users of the station area corresponding to the target electric energy data into a preset energy conservation formula; unknown values in the energy conservation formula comprise an electric energy meter misalignment rate, a station area line loss rate and a fixed loss value;
s3, updating the power supply quantity of the total table of the station area and the power consumption quantity of users of the station area in the energy conservation formula according to a preset time period;
s4, solving an unknown value in the latest energy conservation formula by using a least square method to obtain the misalignment rate of the electric energy meter;
and S5, determining the misalignment electric energy meter from each electric energy meter based on the misalignment rate of the electric energy meter.
Alternatively, it may be understood by those skilled in the art that the structure shown in fig. 4 is only an illustration, and the electronic device may also be a terminal device such as a smart phone (e.g., an Android phone, an iOS phone, etc.), a tablet computer, a palmtop computer, and a Mobile Internet Device (MID), a PAD, and the like. Fig. 4 is a diagram illustrating a structure of the electronic device. For example, the electronic device may also include more or fewer components (e.g., network interfaces, etc.) than shown in FIG. 4, or have a different configuration than shown in FIG. 4.
The memory 402 may be used to store software programs and modules, such as program instructions/modules corresponding to the method and apparatus for detecting misalignment of an electric energy meter in the embodiment of the present invention, and the processor 404 executes various functional applications and data processing by running the software programs and modules stored in the memory 402, so as to implement the above-mentioned method for detecting misalignment of an electric energy meter. The memory 402 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 402 can further include memory located remotely from the processor 404, which can be connected to the terminal over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof. The memory 402 may be used for storing information such as operation instructions, but is not limited thereto. As an example, as shown in fig. 4, the memory 402 may include, but is not limited to, various units of the power meter misalignment detection apparatus. In addition, the misalignment detection apparatus may further include, but is not limited to, other module units in the misalignment detection apparatus for an electric energy meter, which is not described in detail in this example.
Optionally, the transmission device 406 is used for receiving or sending data via a network. Examples of the network may include a wired network and a wireless network. In one example, the transmission device 406 includes a Network adapter (NIC) that can be connected to a router via a Network cable and other Network devices to communicate with the internet or a local area Network. In one example, the transmission device 406 is a Radio Frequency (RF) module, which is used to communicate with the internet in a wireless manner.
In addition, the electronic device further includes: a display 408 for displaying the display content; and a connection bus 410 for connecting the respective module parts in the above-described electronic apparatus.
According to a further aspect of an embodiment of the present invention, there is also provided a storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps in any of the method embodiments described above when executed.
Alternatively, in the present embodiment, the storage medium may be configured to store a computer program for executing the steps of:
s1, acquiring initial electric energy data of each electric energy meter in each area, and performing data preprocessing on the initial electric energy data to obtain preprocessed target electric energy data;
s2, substituting the power supply amount of the total table of the station area and the power consumption amount of the users of the station area corresponding to the target electric energy data into a preset energy conservation formula; unknown values in the energy conservation formula comprise an electric energy meter misalignment rate, a station area line loss rate and a fixed loss value;
s3, updating the power supply quantity of the total table of the station area and the power consumption quantity of users of the station area in the energy conservation formula according to a preset time period;
s4, solving an unknown value in the latest energy conservation formula by using a least square method to obtain the misalignment rate of the electric energy meter;
and S5, determining the misalignment electric energy meter from each electric energy meter based on the misalignment rate of the electric energy meter.
Alternatively, in this embodiment, a person skilled in the art may understand that all or part of the steps in the various methods in the foregoing embodiments may be implemented by a program instructing hardware related to the terminal device, where the program may be stored in a computer-readable storage medium, and the storage medium may include: flash disks, read-Only memories (ROMs), random Access Memories (RAMs), magnetic or optical disks, and the like.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
The integrated unit in the above embodiments, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in the above computer-readable storage medium. Based on such understanding, the technical solution of the present invention may be substantially or partially implemented in the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, and including instructions for causing one or more computer devices (which may be personal computers, servers, or network devices) to execute all or part of the steps of the method according to the embodiments of the present invention.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed client may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, a division of a unit is merely a division of a logic function, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that it is obvious to those skilled in the art that various modifications and improvements can be made without departing from the principle of the present invention, and these modifications and improvements should also be considered as the protection scope of the present invention.
Claims (10)
1. A method of detecting misalignment of an electrical energy meter, comprising:
acquiring initial electric energy data of each electric energy meter in each area, and performing data preprocessing on the initial electric energy data to obtain preprocessed target electric energy data;
substituting the power supply amount of the total table of the distribution room and the power consumption amount of users of the distribution room corresponding to the target electric energy data into a preset energy conservation formula; unknown values in the energy conservation formula comprise an electric energy meter misalignment rate, a transformer area line loss rate and a fixed loss value;
updating the power supply amount of the distribution room total table and the power consumption amount of the distribution room users in the energy conservation formula according to a preset time period;
solving an unknown value in the latest energy conservation formula by using a least square method to obtain the misalignment rate of the electric energy meter;
and determining the misaligned electric energy meter from the electric energy meters based on the misalignment rate of the electric energy meter.
2. The method of claim 1, wherein the pre-processing the initial power data to obtain pre-processed target power data comprises:
acquiring initial electric energy general meter data and initial electric energy sub meter data in the initial electric energy data;
rejecting abnormal data in the initial electric energy general meter data based on a first preset condition to obtain target electric energy general meter data; rejecting abnormal data in the initial electric energy sub-meter data based on a second preset condition to obtain target electric energy sub-meter data;
and determining the target electric energy data based on the target electric energy general meter data and the target electric energy sub-meter data.
3. The method according to claim 2, characterized in that said first preset condition comprises at least one of: the number of the distribution area general tables is larger than a preset number threshold, the number of the distribution area household tables is zero, and the number of data days is smaller than a preset number of days threshold.
4. The method according to claim 2, characterized in that said second preset condition comprises at least one of: the power supply of the transformer area is zero, and the power loss of the transformer area is less than zero.
5. The method of claim 1, wherein the energy conservation formula is as follows:
the power supply amount for the distribution area total meter is the misalignment rate of the first user electric energy meter, the power consumption amount of the first user electric energy meter, the distribution area line loss rate and the fixed loss value.
6. The method of claim 1, further comprising:
carrying out weighted average on the updated power supply amount of the total table of the distribution area and the power consumption of the users in the distribution area, and constructing a weighted average matrix;
and updating the energy conservation formula by using the weighted average matrix.
7. An electrical energy meter misalignment detection apparatus, comprising:
the data preprocessing unit is configured to acquire initial electric energy data of each electric energy meter in each area and perform data preprocessing on the initial electric energy data to obtain preprocessed target electric energy data;
the equation construction unit is configured to substitute the total table power supply amount and the table user power consumption amount corresponding to the target electric energy data into a preset energy conservation formula; unknown values in the energy conservation formula comprise an electric energy meter misalignment rate, a station area line loss rate and a fixed loss value;
the equation reconstruction unit is configured to update the total table power supply amount of the distribution area and the power consumption amount of the distribution area users in the energy conservation formula according to a preset time period;
the misalignment rate calculation unit is configured to solve the unknown value in the latest energy conservation formula by using a least square method to obtain the misalignment rate of the electric energy meter;
a misalignment energy meter determination unit configured to determine a misalignment energy meter from among the energy meters based on the energy meter misalignment rate.
8. The apparatus of claim 7, wherein the data pre-processing unit is further configured to:
acquiring initial electric energy general meter data and initial electric energy sub meter data in the initial electric energy data;
rejecting abnormal data in the initial electric energy general meter data based on a first preset condition to obtain target electric energy general meter data; rejecting abnormal data in the initial electric energy sub-meter data based on a second preset condition to obtain target electric energy sub-meter data;
and determining the target electric energy data based on the target electric energy general meter data and the target electric energy sub-meter data.
9. The apparatus of claim 8, wherein the first preset condition comprises at least one of: the number of the table area general tables is larger than a preset number threshold, the number of the table area household tables is zero, and the number of data days is smaller than a preset number threshold.
10. The apparatus of claim 8, wherein the second preset condition comprises at least one of: the power supply of the transformer area is zero, and the power loss of the transformer area is less than zero.
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Application publication date: 20221101 |