CN112684402B - Method and system for monitoring electric energy running error data of stable electric consumption - Google Patents

Abstract

The application provides a method and a system for monitoring running error data of an electric energy meter with stable electricity consumption, which relate to the technical field of electric energy monitoring, wherein after an initial correction data segment is determined based on a reference error correction vector from all error correction data segments, when the numerical value difference between the initial correction data segment and a preset reference correction data segment is within a set first threshold range, error correction parameter calculation is carried out on a target electric energy meter through the initial correction data segment and the reference correction data segment respectively, so that a target correction data segment of the target electric energy meter is selected from the initial correction data segment and the reference correction data segment according to the reference correction parameters calculated by the error correction parameters, and error correction is carried out on the target electric energy meter by utilizing the target correction data segment; compared with the prior art, the error correction can be performed on the target electric energy meter, so that the reliability of the collected data of the target electric energy meter is improved, and the reliability of the analysis result of the data of the electric energy meter is further provided.

Description

Method and system for monitoring electric energy running error data of stable electric consumption

Technical Field

The application relates to the technical field of electric energy monitoring, in particular to a method and a system for monitoring running error data of an electric energy meter with stable electricity consumption.

Background

The cluster technology can uniformly manage large-scale equipment, for example, the cluster technology can be utilized to uniformly manage the equipment such as the electric energy meter in the intelligent power grid, so that the collected huge data is effectively utilized, and powerful data support is provided for electric quantity consumption, line loss calculation and the like.

However, there are some problems in large-scale cluster devices, for example, when an electric energy meter with abnormal operation occurs in a cluster system, so that an error occurs in data collected by the electric energy meter, and in a process of analyzing the data collected by the electric energy meter, the reliability of an analysis result is lower because the error electric energy meter data is used for data analysis.

Disclosure of Invention

The purpose of the application is to provide a method and a system for monitoring running error data of an electric energy meter with stable electricity consumption, so as to solve at least part of the technical problems.

In order to achieve the above purpose, the technical scheme adopted in the application is as follows:

in a first aspect, the present application provides a method for monitoring running error data of an electric energy meter with stable electricity consumption, which is applied to a cluster master node in an electric energy data cluster monitoring system; the method comprises the following steps:

Determining at least one standard electric energy meter corresponding to a target electric energy meter in a target electric energy monitoring system;

for each error correction data segment which is determined in advance, according to the electric energy acquisition data of each standard electric energy meter, respectively determining a corresponding reference error correction vector of the target electric energy meter in each error correction data segment;

determining a target error correction vector according to the reference error correction vector corresponding to each error correction data segment of the target electric energy meter, and taking the error correction data segment corresponding to the target error correction vector as an initial correction data segment;

comparing the initial correction data segment with a preset reference correction data segment, if the numerical value difference between the initial correction data segment and the reference correction data segment is within a preset first threshold range, performing error correction parameter calculation on a target electric energy meter through the initial correction data segment and the reference correction data segment respectively, and determining a target correction data segment of the target electric energy meter from the initial correction data segment and the reference correction data segment according to the reference correction parameters corresponding to the initial correction data segment and the reference correction data segment calculated by the error correction parameters so as to perform error correction on the target electric energy meter by utilizing the target correction data segment; the reference correction data segment is an electric energy acquisition data segment with the minimum corresponding error in all electric energy acquisition data of the target electric energy monitoring system.

Optionally, as a possible implementation manner, the determining, according to the electric energy collection data of each standard electric energy meter, a reference error correction vector corresponding to the target electric energy meter in each error correction data segment includes:

sequentially traversing each error correction data segment according to a predetermined sequence, and when traversing to a current error correction data segment, dividing the current error correction data segment by a proportionality coefficient obtained by the error correction data segment corresponding to the standard electric energy meter in the current error correction data segment, and superposing the proportionality coefficient with an initial correction coefficient corresponding to the standard electric energy meter to obtain an updated correction coefficient corresponding to the standard electric energy meter of the target electric energy meter under the current error correction data segment so as to determine the initial correction coefficient corresponding to each standard electric energy meter of the target electric energy meter under the current error correction data segment to serve as a candidate correction coefficient corresponding to the target electric energy meter under the current error correction data segment;

under the current error correction data segment, calculating a correlation parameter between error data in the current error correction data segment and the candidate correction coefficient according to any candidate correction coefficient, calculating a standard electric energy meter with a difference value between the standard electric energy meter and the target electric energy meter within a set second threshold value, calculating an average difference value between the target electric energy meter and the standard electric energy meter, and taking the average difference value as an initial error correction vector of the target electric energy meter corresponding to the candidate correction coefficient so as to determine an initial error correction vector of the target electric energy meter corresponding to each candidate correction coefficient, and taking the initial error correction vector corresponding to the minimum candidate correction coefficient as a reference error correction vector of the target electric energy meter corresponding to the current error correction data segment until all error correction data segments are traversed, and obtaining the reference error correction vector of the target electric energy meter corresponding to each error correction data segment.

Optionally, as a possible implementation manner, the determining the target error correction vector according to the reference error correction vector corresponding to each error correction data segment of the target electric energy meter includes:

performing point multiplication calculation on a reference error correction vector corresponding to the target electric energy meter under an error correction data segment and a preset standard error correction vector, and if the calculated point multiplication result is larger than a set third threshold value, replacing the standard error correction vector with an initial error correction vector of the reference error correction vector until the reference error correction vector corresponding to the target electric energy meter in all error correction data segments is determined;

and taking the reference error correction vector corresponding to the standard error correction vector after the replacement as the target error correction vector.

Optionally, as a possible implementation manner, the calculating the error correction parameter of the target electric energy meter by using the initial correction data segment and the reference correction data segment respectively, and determining the target correction data segment of the target electric energy meter from the initial correction data segment and the reference correction data segment according to the reference correction parameters corresponding to the initial correction data segment and the reference correction data segment calculated by the error correction parameter respectively includes:

Calculating error correction parameters of the target electric energy meter through the initial correction data segment to obtain reference correction parameters corresponding to the initial correction data segment; performing error correction parameter calculation on the target electric energy meter through the reference correction data segment to obtain a reference correction parameter corresponding to the reference correction data segment;

and selecting an error correction data segment with the minimum reference correction parameter from the initial correction data segment and the reference correction data segment as a target correction data segment of the target electric energy meter.

Optionally, as a possible implementation manner, all the standard electric energy meters are electric energy meters in a standard electric energy meter network in the electric energy data cluster monitoring system;

the determining at least one standard electric energy meter corresponding to the target electric energy meter in the target electric energy monitoring system comprises the following steps:

acquiring all first electric energy meters corresponding to the target electric energy meter in the standard electric energy meter networking; each first electric energy meter is a reference standard electric energy meter configured for the cluster master node;

determining all second electric energy meters corresponding to the target electric energy meter in the standard electric energy meter networking;

obtaining the estimated number of the first history comparison devices and the actual number of the first history comparison devices corresponding to the target electric energy meter in the correction information record table entry;

Generating the estimated quantity of the current comparison equipment according to the first reference quantity difference between the estimated quantity of the first history comparison equipment and the actual quantity of the first history comparison equipment;

generating a reference comparison equipment group of the target electric energy meter in the standard electric energy meter networking according to the estimated quantity of the first electric energy meter, the second electric energy meter and the current comparison equipment;

and obtaining a reference comparison equipment group corresponding to the reference comparison equipment group, and screening at least one standard electric energy meter corresponding to the target electric energy meter according to the reference comparison equipment group.

Optionally, as a possible implementation manner, the correction information record table entry records a corresponding relationship between the estimated number of the history matching devices and the actual number of the history matching devices;

and determining all second electric energy meters corresponding to the target electric energy meter in the standard electric energy meter networking, wherein the determining comprises the following steps:

acquiring a target electric energy information storage strategy; the target electric energy information storage strategy records an electric energy information storage address corresponding to the target electric energy meter;

acquiring a first reference electric energy meter networking; the first reference electric energy meter networking is a reference networking corresponding to the actual number of the history comparison equipment, and the number of standard electric energy meters included in the first reference electric energy meter networking is greater than or equal to the number of standard electric energy meters included in the standard electric energy meter networking;

Acquiring a first electric energy information storage address corresponding to the first reference electric energy meter networking from the target electric energy information storage strategy;

acquiring the corresponding electric energy information storage digit of the target electric energy meter under the actual number of the history comparison equipment;

determining an initial reference networking address of the target electric energy meter in the standard electric energy meter networking;

acquiring a second reference electric energy meter networking;

determining second target reference electric energy meters corresponding to the actual quantity of the history comparison equipment in the second reference electric energy meter networking, and acquiring second electric energy information storage addresses corresponding to the second target reference electric energy meters from the target electric energy information storage strategy;

respectively calculating bit section interval lengths between the initial reference networking address and each second electric energy information storage address, and determining the average interval length of each calculated bit section interval length to serve as a target bit section interval length;

calculating the mean square error of the interval length of the target bit section relative to the average bit section length of the second reference electric energy meter network, and taking the calculated mean square error as a bit section length updating parameter;

Calculating a first target storage bit number corresponding to the electric energy information storage bit number according to the bit segment length updating parameter;

determining a second target storage bit number corresponding to the first electric energy information storage address;

and calculating a target object interval corresponding to the electric energy information storage bit number and the first electric energy information storage address according to the first target storage bit number and the second target storage bit number, and determining an electric energy meter with the corresponding storage address positioned in the target object interval as at least one second electric energy meter.

Optionally, as a possible implementation manner, the obtaining all first electric energy meters corresponding to the target electric energy meter in the standard electric energy meter network includes:

acquiring object adaptation files of each standard electric energy meter in the standard electric energy meter networking; the standard electric energy meter networking comprises at least one target subnet configuration mode, and each target subnet configuration mode corresponds to at least one electric energy meter comprising the target electric energy meter;

dividing an object adaptation file corresponding to each target subnet configuration mode from the object adaptation files of the standard electric energy meter networking;

Determining an object adaptation file of the target electric energy meter according to the object adaptation file corresponding to each target subnet configuration mode;

according to the object adaptation file of the target electric energy meter, determining an electric energy meter adaptation list corresponding to the target electric energy meter;

acquiring target matching parameters of the target electric energy meter in the standard electric energy meter networking;

according to the target matching parameters, searching an electric energy meter corresponding to the target matching parameters in the electric energy meter adaptable list, and determining the searched electric energy meter as a first electric energy meter corresponding to the target electric energy meter in the standard electric energy meter networking.

Optionally, as a possible implementation manner, the generating, according to the estimated amounts of the first electric energy meter, the second electric energy meter and the current comparison device, the reference comparison device group of the target electric energy meter in the standard electric energy meter network includes:

combining the first electric energy meter and the second electric energy meter to form an initial reference comparison equipment group;

and determining the electric energy meters matched with the estimated quantity of the current comparison equipment in the initial reference comparison equipment group so as to generate a reference comparison equipment group.

Optionally, as a possible implementation manner, the generating the estimated number of current collation devices according to the first reference number difference between the estimated number of the first history collation devices and the actual number of the first history collation devices includes:

acquiring a third reference electric energy meter networking;

obtaining the estimated number of the second history contrast devices and the actual number of the second history contrast devices of the target electric energy meter in the third reference electric energy meter network;

determining a second reference number difference between the estimated number of second history matching devices and the actual number of second history matching devices;

calculating a target reference number difference of the target electric energy meter according to the first reference number difference and the second reference number difference;

acquiring a preset basic quantity value and an estimated quantity range;

and generating the estimated quantity of the current comparison equipment meeting the estimated quantity range according to the target reference quantity difference and the basic quantity value.

Optionally, as a possible implementation manner, the obtaining, according to the estimated amounts of the first electric energy meter, the second electric energy meter and the current comparison device, the reference comparison device group of the target electric energy meter in the standard electric energy meter network includes:

Determining a target subnet configuration mode and a standard electric energy meter networking corresponding to the target electric energy meter;

acquiring a target strategy label set corresponding to the target subnet configuration mode and a standard networking label set corresponding to the standard electric energy meter networking;

generating a target reference label set according to the estimated quantity of the current comparison equipment, the target strategy label set and the standard networking label set;

and generating the reference control equipment group according to the first electric energy meter, the second electric energy meter and the target reference label set.

In a second aspect, the present application provides a monitoring system for running error data of an electric energy meter with stable electricity consumption, which is applied to a cluster master node in an electric energy data cluster monitoring system; the system comprises:

the processing module is used for determining at least one standard electric energy meter corresponding to the target electric energy meter in the target electric energy monitoring system;

the processing module is further used for respectively determining reference error correction vectors corresponding to the target electric energy meter in each error correction data segment according to the electric energy acquisition data of each standard electric energy meter for each error correction data segment which is determined in advance;

The processing module is further used for determining a target error correction vector according to the reference error correction vector corresponding to the target electric energy meter in each error correction data segment, and taking the error correction data segment corresponding to the target error correction vector as an initial correction data segment;

the correction module is used for comparing the initial correction data segment with a preset reference correction data segment, if the numerical value difference between the initial correction data segment and the reference correction data segment is within a preset first threshold range, error correction parameter calculation is carried out on a target electric energy meter through the initial correction data segment and the reference correction data segment respectively, and the target correction data segment of the target electric energy meter is determined from the initial correction data segment and the reference correction data segment according to the reference correction parameters corresponding to the initial correction data segment and the reference correction data segment calculated by the error correction parameters so as to carry out error correction on the target electric energy meter by utilizing the target correction data segment; the reference correction data segment is an electric energy acquisition data segment with the minimum corresponding error in all electric energy acquisition data of the target electric energy monitoring system.

According to the method and the system for monitoring the running error data of the electric energy meter with stable electricity consumption, after the initial correction data segments are determined based on the reference error correction vectors from all the error correction data segments, when the numerical difference between the initial correction data segments and the preset reference correction data segments is within the set first threshold range, error correction parameter calculation is carried out on the target electric energy meter through the initial correction data segments and the reference correction data segments respectively, so that the target correction data segments of the target electric energy meter are selected from the initial correction data segments and the reference correction data segments according to the reference correction parameters calculated by the error correction parameters, and error correction is carried out on the target electric energy meter by using the target correction data segments; compared with the prior art, the error correction can be performed on the target electric energy meter, so that the reliability of the collected data of the target electric energy meter is improved, and the reliability of the analysis result of the data of the electric energy meter is further provided.

In order to make the above objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.

Drawings

For a clearer description of the technical solutions of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and should therefore not be considered limiting in scope, and that other related drawings can be obtained from these drawings without the inventive effort for a person skilled in the art.

Fig. 1 is a flowchart of a method for monitoring running error data of a power consumption stable electric energy meter.

Fig. 2 is a block diagram of a monitoring system for running error data of a power consumption stable electric energy meter.

Detailed Description

For the purposes of making the objects, technical solutions and advantages of the present application more apparent, the technical solutions in the present application will be clearly and completely described below with reference to the accompanying drawings in some embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the present application, as generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations.

Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which are derived by a person skilled in the art from the embodiments given herein without creative efforts, are within the scope of protection of the present application.

It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.

It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

Some embodiments of the present application are described in detail below with reference to the accompanying drawings. The following embodiments and features of the embodiments may be combined with each other without conflict.

Referring to fig. 1, fig. 1 is a flowchart of a method for monitoring running error data of a power consumption stable electric energy meter, which is applied to a cluster master node in an electric energy data cluster monitoring system, wherein the electric energy data cluster monitoring system is used for uniformly managing data collected by at least one electric energy monitoring system, and each electric energy monitoring system comprises a plurality of electric energy meters. Wherein, in connection with fig. 1, the method comprises the following steps:

Step S100, at least one standard electric energy meter corresponding to the target electric energy meter in the target electric energy monitoring system is determined.

In this embodiment, taking one of the at least one electric energy monitoring system as an example of a target electric energy monitoring system, the target electric energy monitoring system corresponds to at least one standard electric energy meter, and each standard electric energy meter is used as a data correction standard of the target electric energy monitoring system, namely: the data collected by each standard electric energy meter can be used as a correction standard of other electric energy meters in the target electric energy monitoring system, for example, the data can be used as a correction standard of the target electric energy meter in the target electric energy monitoring system.

Step 200, for each predetermined error correction data segment, determining a reference error correction vector corresponding to the target electric energy meter in each error correction data segment according to the electric energy collection data of each standard electric energy meter.

In this embodiment, the cluster master node may divide all data collected by the electric energy meters into a plurality of data segments according to a time interval, for example, 9 points to 10 points may be one data segment, 10 points to 11 points may be one data segment, 11 points to 12 points may be one data Duan ·and so on, and the cluster master node may divide data of one day into 24 data segments according to time.

The cluster master node may take the data segments as error correction data segments for each data segment predetermined by the cluster master node according to the rule, and determine, according to the electric energy collection data of each standard electric energy meter, a reference error correction vector corresponding to the target electric energy meter in each error correction data segment, where each reference error correction vector may be used to indicate an error correction amount of the electric energy collection data of the standard electric energy meter under the corresponding error correction data segment.

And step S300, determining a target error correction vector according to the reference error correction vector corresponding to each error correction data segment of the target electric energy meter, and taking the error correction data segment corresponding to the target error correction vector as an initial correction data segment.

In this embodiment, the cluster master node determines a target error correction vector based on the calculated reference error correction vector corresponding to each error correction data segment of the target electric energy meter, and takes the error correction data segment corresponding to the target error correction vector as an initial correction data segment.

Step S400, comparing the initial correction data segment with a preset reference correction data segment, if the numerical value difference between the initial correction data segment and the reference correction data segment is within a preset first threshold range, performing error correction parameter calculation on a target electric energy meter through the initial correction data segment and the reference correction data segment respectively, and determining the target correction data segment of the target electric energy meter from the initial correction data segment and the reference correction data segment according to the reference correction parameters corresponding to the initial correction data segment and the reference correction data segment calculated by the error correction parameters so as to perform error correction on the target electric energy meter by utilizing the target correction data segment.

In this embodiment, the cluster master node further records a preset reference correction data segment, where the reference correction data segment is an electric energy collection data segment with the smallest corresponding error in all electric energy collection data of the target electric energy monitoring system, that is, the cluster master node may calculate, according to historical data, an error corresponding to each electric energy collection data segment, and determine, as the reference correction data segment, the electric energy collection data segment with the smallest corresponding error.

Based on the above, after determining an initial correction data segment, the cluster master node compares the initial correction data segment with the preset reference correction data segment, and if the numerical difference between the initial correction data segment and the reference correction data segment exceeds a preset first threshold range, the cluster master node determines a next initial correction data segment, and continues to perform the step of comparing the initial correction data segment with the preset reference correction data segment; if the numerical value difference between the initial correction data segment and the reference correction data segment is in a set first threshold range, error correction parameter calculation is carried out on the target electric energy meter through the initial correction data segment and the reference correction data segment respectively, and the target correction data segment of the target electric energy meter is determined from the initial correction data segment and the reference correction data segment according to the reference correction parameters corresponding to the initial correction data segment and the reference correction data segment calculated by the error correction parameters, so that the error correction is carried out on the target electric energy meter by utilizing the target correction data segment.

Thus, by using the above scheme provided in this embodiment, after determining an initial correction data segment based on a reference error correction vector from all error correction data segments, when a numerical difference between the initial correction data segment and a preset reference correction data segment is within a set first threshold range, performing error correction parameter calculation on the target electric energy meter through the initial correction data segment and the reference correction data segment, thereby selecting a target correction data segment of the target electric energy meter from the initial correction data segment and the reference correction data segment according to the reference correction parameter calculated by the error correction parameter, and performing error correction on the target electric energy meter by using the target correction data segment; compared with the prior art, the error correction can be performed on the target electric energy meter, so that the reliability of the collected data of the target electric energy meter is improved, and the reliability of the analysis result of the data of the electric energy meter is further provided.

In one possible implementation manner, when the cluster master node performs step S200, in order to improve accuracy of data calculation, the cluster master node may adopt the following scheme:

firstly, traversing each error correction data segment by the cluster master node according to a predetermined sequence, when traversing to a current error correction data segment, dividing the current error correction data segment by a proportionality coefficient obtained by the error correction data segment corresponding to the standard electric energy meter in the current error correction data segment, and superposing initial correction coefficients corresponding to the standard electric energy meter to obtain updated correction coefficients corresponding to the standard electric energy meter of the target electric energy meter under the current error correction data segment so as to determine initial correction coefficients corresponding to each standard electric energy meter of the target electric energy meter under the current error correction data segment, wherein the initial correction coefficients are used as candidate correction coefficients corresponding to the current error correction data segment of the target electric energy meter.

Wherein it is understood that the current error correction data segment is one of all error correction data segments.

And then, under the current error correction data segment, the cluster master node calculates a standard electric energy meter corresponding to the correlation parameter between error data in the current error correction data segment and the candidate correction coefficient and the difference value between the standard electric energy meter and the target electric energy meter within a set second threshold value according to any candidate correction coefficient, calculates an average difference value between the target electric energy meter and the standard electric energy meter as an initial error correction vector of the target electric energy meter corresponding to the candidate correction coefficient, so as to determine an initial error correction vector of the target electric energy meter corresponding to each candidate correction coefficient, and uses the initial error correction vector corresponding to the minimum candidate correction coefficient as a reference error correction vector of the target electric energy meter corresponding to the current error correction data segment until all error correction data segments are traversed, and then obtains the reference error correction vector corresponding to the target electric energy meter in each error correction data segment.

Based on the above scheme, as a possible implementation manner, when the cluster master node determines the target error correction vector according to the reference error correction vector corresponding to the target electric energy meter in each error correction data segment, the following scheme may be adopted:

And the cluster master node performs point multiplication calculation on a reference error correction vector corresponding to the target electric energy meter under an error correction data segment and a preset standard error correction vector, and if the calculated point multiplication result is larger than a set third threshold value, replaces the standard error correction vector with an initial error correction vector of the reference error correction vector until the reference error correction vector corresponding to the target electric energy meter in all error correction data segments is determined.

Then, the cluster master node uses the reference error correction vector corresponding to the standard error correction vector after the replacement is completed as the target error correction vector.

In addition, as a possible implementation manner, the cluster master node may adopt the following scheme in the process of executing step S400:

firstly, the cluster master node calculates error correction parameters of a target electric energy meter through an initial correction data segment to obtain reference correction parameters corresponding to the initial correction data segment; and calculating error correction parameters of the target electric energy meter through the reference correction data segment to obtain reference correction parameters corresponding to the reference correction data segment.

And then, the cluster master node selects an error correction data segment with the minimum reference correction parameter from the initial correction data segment and the reference correction data segment as a target correction data segment of the target electric energy meter.

In this way, by selecting the error correction data segment with the smallest corresponding parameter correction parameter as the target correction data segment, the accuracy of data calculation can be further improved.

In addition, in one possible implementation manner, all the standard electric energy meters are electric energy meters in a standard electric energy meter network in the electric energy data cluster monitoring system.

That is, the electric energy data cluster monitoring system can be provided with a standard electric energy meter networking, and all electric energy meters in the standard electric energy meter networking are standard electric energy meters.

Based on this, the cluster master node may determine at least one standard electric energy meter by adopting the following scheme in the process of executing step S100.

Firstly, the cluster master node acquires all first electric energy meters corresponding to the target electric energy meter in the standard electric energy meter networking; and each first electric energy meter is a reference standard electric energy meter configured for the cluster master node.

And then, the cluster master node determines all second electric energy meters corresponding to the target electric energy meter in the standard electric energy meter networking.

Wherein, unlike the first electric energy meter, the second electric energy meter may be randomly determined.

And then, the cluster master node acquires the estimated number of the first history comparison devices and the actual number of the first history comparison devices corresponding to the target electric energy meter in the correction information record table entry.

The correction information record table entry may record the estimated number and the actual number of the comparison devices used by each electric energy meter when the historical time period is corrected.

And then, the cluster master node generates the estimated quantity of the current comparison equipment according to the first reference quantity difference between the estimated quantity of the first history comparison equipment and the actual quantity of the first history comparison equipment.

And then, the cluster master node generates a reference comparison equipment group of the target electric energy meter in the standard electric energy meter networking according to the estimated quantity of the first electric energy meter, the second electric energy meter and the current comparison equipment.

And then, the cluster master node obtains a reference comparison equipment group corresponding to the reference comparison equipment group, and screens out at least one standard electric energy meter corresponding to the target electric energy meter according to the reference comparison equipment group.

In this way, all the first electric energy meters and all the second electric energy meters of the target electric energy meter in the standard electric energy meter networking are obtained, and the estimated quantity of the current comparison equipment is generated, so that the reference comparison equipment group of the target electric energy meter in the standard electric energy meter networking is generated according to the estimated quantity of the first electric energy meters, the second electric energy meters and the current comparison equipment, and at least one standard electric energy meter corresponding to the target electric energy meter is screened out according to the reference comparison equipment group. Therefore, at least one standard electric energy meter corresponding to the target electric energy meter can be screened out by combining the historical information, and reliability in data correction is improved.

In one possible implementation manner, the correction information record table entry records a corresponding relationship between the estimated number of the history matching devices and the actual number of the history matching devices.

Based on the above, when determining all the second electric energy meters corresponding to the target electric energy meter in the standard electric energy meter networking, the cluster master node may adopt the following scheme:

firstly, the cluster master node acquires a target electric energy information storage strategy; the target electric energy information storage strategy records an electric energy information storage address corresponding to the target electric energy meter.

Then, the cluster master node acquires a first reference electric energy meter networking; the first reference electric energy meter networking is a reference networking corresponding to the actual number of the history comparison equipment, and the number of standard electric energy meters included in the first reference electric energy meter networking is greater than or equal to the number of standard electric energy meters included in the standard electric energy meter networking.

And then, the cluster master node acquires a first electric energy information storage address corresponding to the first reference electric energy meter networking from the target electric energy information storage strategy.

And then, the cluster master node acquires the electric energy information storage bit number corresponding to the target electric energy meter under the actual number of the history comparison equipment.

Next, the cluster master node determines an initial reference networking address of the target electric energy meter in the standard electric energy meter networking.

And then, the cluster master node acquires a second reference electric energy meter networking.

It is understood that the second reference electric energy meter network may be selected from standard electric energy meters included in the first reference electric energy meter network according to a random selection manner.

And then, the cluster master node determines second target reference electric energy meters corresponding to the actual quantity of the history comparison equipment in the second reference electric energy meter networking, and acquires second electric energy information storage addresses corresponding to the second target reference electric energy meters respectively from the target electric energy information storage strategy.

And then, the cluster master node calculates bit segment interval lengths between the initial reference networking address and each second electric energy information storage address respectively, and determines the average interval length of each calculated bit segment interval length to serve as a target bit segment interval length.

And then, the cluster master node calculates the mean square error of the interval length of the target bit section relative to the average bit section length of the second reference electric energy meter networking, and takes the calculated mean square error as a bit section length update parameter.

And then, the cluster master node calculates a first target storage bit number corresponding to the electric energy information storage bit number according to the bit segment length updating parameter.

And then, the cluster master node determines a second target storage bit number corresponding to the first power information storage address.

And then, the cluster master node calculates a target object interval corresponding to the electric energy information storage bit number and the first electric energy information storage address according to the first target storage bit number and the second target storage bit number, and determines an electric energy meter with the corresponding storage address in the target object interval as at least one second electric energy meter.

On the other hand, as a possible implementation manner, when the cluster master node obtains all the first electric energy meters corresponding to the target electric energy meters in the standard electric energy meter networking, the following scheme may be adopted:

firstly, the cluster master node acquires object adaptation files of all standard electric energy meters in the standard electric energy meter networking; the standard electric energy meter networking comprises at least one target subnet configuration mode, and each target subnet configuration mode corresponds to at least one electric energy meter comprising the target electric energy meter.

And then, the cluster master node divides an object adaptation file corresponding to each target subnet configuration mode from the object adaptation files of the standard electric energy meter networking.

In this embodiment, different target subnet configuration modes are preconfigured with different object adaptation files, and each object adaptation file may configure a corresponding standard electric energy meter into different subnet configuration modes.

And then, the cluster master node determines the object adaptation file of the target electric energy meter according to the object adaptation file corresponding to each target subnet configuration mode.

And then, the cluster master node determines an electric energy meter adaptable list corresponding to the target electric energy meter according to the object adaptive file of the target electric energy meter.

And then, the cluster master node acquires target matching parameters of the target electric energy meter in the standard electric energy meter networking.

And then, the cluster master node searches the electric energy meter corresponding to the target matching parameter in the electric energy meter adaptable list according to the target matching parameter, and determines the searched electric energy meter as a first electric energy meter corresponding to the target electric energy meter in the standard electric energy meter networking.

And as a possible implementation manner, when the cluster master node generates the reference comparison device group of the target electric energy meter in the standard electric energy meter network according to the estimated amounts of the first electric energy meter, the second electric energy meter and the current comparison device, the following scheme may be adopted:

firstly, the cluster master node combines the first electric energy meter and the second electric energy meter to form an initial reference comparison equipment group. And then, the cluster master node determines electric energy meters matched with the estimated quantity of the current comparison equipment in the initial reference comparison equipment group so as to generate a reference comparison equipment group.

In addition, when the cluster master node generates the estimated number of the current comparison devices according to the first reference number difference between the estimated number of the first history comparison devices and the actual number of the first history comparison devices, the following scheme may be adopted:

Firstly, the cluster master node acquires a third reference electric energy meter networking.

And then, the cluster master node acquires the estimated number of the second history comparison devices and the actual number of the second history comparison devices of the target electric energy meter in the third reference electric energy meter network.

Next, the cluster master node determines a second reference number difference between the estimated number of second history collation devices and the actual number of second history collation devices.

And then, the cluster master node calculates a target reference number difference of the target electric energy meter according to the first reference number difference and the second reference number difference.

Then, the cluster master node obtains a preset basic quantity value and an estimated quantity range.

And then, the cluster master node generates the estimated quantity of the current comparison equipment meeting the estimated quantity range according to the target reference quantity difference and the basic quantity value.

In addition, as a possible implementation manner, when the cluster master node obtains the reference comparison device group of the target electric energy meter in the standard electric energy meter network according to the estimated amounts of the first electric energy meter, the second electric energy meter and the current comparison device, the following scheme may be adopted:

Firstly, the cluster master node determines a target subnet configuration mode and a standard electric energy meter networking corresponding to the target electric energy meter.

And then, the cluster master node acquires a target strategy label set corresponding to the target subnet configuration mode and a standard networking label set corresponding to the standard electric energy meter networking.

And then, the cluster master node generates a target reference label set according to the estimated quantity of the current comparison equipment, the target strategy label set and the standard networking label set.

And then, the cluster master node generates the reference comparison equipment group according to the first electric energy meter, the second electric energy meter and the target reference label set.

In addition, based on the same inventive concept as the above-mentioned method for monitoring running error data of the electric energy meter with stable electricity consumption provided in the present application, this embodiment further provides a system 300 for monitoring running error data of the electric energy meter with stable electricity consumption, where the monitoring system 300 is applied to a cluster master node in an electric energy data cluster monitoring system, and the monitoring system 300 includes a processing module 310 and a correction module 302.

The processing module is used for determining at least one standard electric energy meter corresponding to the target electric energy meter in the target electric energy monitoring system;

The processing module is further used for respectively determining reference error correction vectors corresponding to the target electric energy meter in each error correction data segment according to the electric energy acquisition data of each standard electric energy meter for each error correction data segment which is determined in advance;

the processing module is further used for determining a target error correction vector according to the reference error correction vector corresponding to the target electric energy meter in each error correction data segment, and taking the error correction data segment corresponding to the target error correction vector as an initial correction data segment;

the correction module is used for comparing the initial correction data segment with a preset reference correction data segment, if the numerical value difference between the initial correction data segment and the reference correction data segment is within a preset first threshold range, error correction parameter calculation is carried out on a target electric energy meter through the initial correction data segment and the reference correction data segment respectively, and the target correction data segment of the target electric energy meter is determined from the initial correction data segment and the reference correction data segment according to the reference correction parameters corresponding to the initial correction data segment and the reference correction data segment calculated by the error correction parameters so as to carry out error correction on the target electric energy meter by utilizing the target correction data segment; the reference correction data segment is an electric energy acquisition data segment with the minimum corresponding error in all electric energy acquisition data of the target electric energy monitoring system.

Optionally, as a possible implementation manner, when the processing module determines, according to the electric energy collection data of each standard electric energy meter, a reference error correction vector corresponding to each error correction data segment of the target electric energy meter, the processing module is specifically configured to:

sequentially traversing each error correction data segment according to a predetermined sequence, and when traversing to a current error correction data segment, dividing the current error correction data segment by a proportionality coefficient obtained by the error correction data segment corresponding to the standard electric energy meter in the current error correction data segment, and superposing the proportionality coefficient with an initial correction coefficient corresponding to the standard electric energy meter to obtain an updated correction coefficient corresponding to the standard electric energy meter of the target electric energy meter under the current error correction data segment so as to determine the initial correction coefficient corresponding to each standard electric energy meter of the target electric energy meter under the current error correction data segment to serve as a candidate correction coefficient corresponding to the target electric energy meter under the current error correction data segment;

under the current error correction data segment, calculating a correlation parameter between error data in the current error correction data segment and the candidate correction coefficient according to any candidate correction coefficient, calculating a standard electric energy meter with a difference value between the standard electric energy meter and the target electric energy meter within a set second threshold value, calculating an average difference value between the target electric energy meter and the standard electric energy meter, and taking the average difference value as an initial error correction vector of the target electric energy meter corresponding to the candidate correction coefficient so as to determine an initial error correction vector of the target electric energy meter corresponding to each candidate correction coefficient, and taking the initial error correction vector corresponding to the minimum candidate correction coefficient as a reference error correction vector of the target electric energy meter corresponding to the current error correction data segment until all error correction data segments are traversed, and obtaining the reference error correction vector of the target electric energy meter corresponding to each error correction data segment.

Optionally, as a possible implementation manner, the processing module is specifically configured to, when determining the target error correction vector according to the reference error correction vector corresponding to the target electric energy meter in each error correction data segment:

performing point multiplication calculation on a reference error correction vector corresponding to the target electric energy meter under an error correction data segment and a preset standard error correction vector, and if the calculated point multiplication result is larger than a set third threshold value, replacing the standard error correction vector with an initial error correction vector of the reference error correction vector until the reference error correction vector corresponding to the target electric energy meter in all error correction data segments is determined;

and taking the reference error correction vector corresponding to the standard error correction vector after the replacement as the target error correction vector.

Optionally, as a possible implementation manner, the correction module is specifically configured to, when performing error correction parameter calculation on the target electric energy meter through the initial correction data segment and the reference correction data segment, and determining the target correction data segment of the target electric energy meter from the initial correction data segment and the reference correction data segment according to the reference correction parameters corresponding to the initial correction data segment and the reference correction data segment calculated by the error correction parameters, respectively:

Calculating error correction parameters of the target electric energy meter through the initial correction data segment to obtain reference correction parameters corresponding to the initial correction data segment; performing error correction parameter calculation on the target electric energy meter through the reference correction data segment to obtain a reference correction parameter corresponding to the reference correction data segment;

and selecting an error correction data segment with the minimum reference correction parameter from the initial correction data segment and the reference correction data segment as a target correction data segment of the target electric energy meter.

Optionally, as a possible implementation manner, all the standard electric energy meters are electric energy meters in a standard electric energy meter network in the electric energy data cluster monitoring system;

the processing module is specifically configured to, when determining at least one standard electric energy meter corresponding to a target electric energy meter in the target electric energy monitoring system:

acquiring all first electric energy meters corresponding to the target electric energy meter in the standard electric energy meter networking; each first electric energy meter is a reference standard electric energy meter configured for the cluster master node;

determining all second electric energy meters corresponding to the target electric energy meter in the standard electric energy meter networking;

obtaining the estimated number of the first history comparison devices and the actual number of the first history comparison devices corresponding to the target electric energy meter in the correction information record table entry;

Generating the estimated quantity of the current comparison equipment according to the first reference quantity difference between the estimated quantity of the first history comparison equipment and the actual quantity of the first history comparison equipment;

generating a reference comparison equipment group of the target electric energy meter in the standard electric energy meter networking according to the estimated quantity of the first electric energy meter, the second electric energy meter and the current comparison equipment;

and obtaining a reference comparison equipment group corresponding to the reference comparison equipment group, and screening at least one standard electric energy meter corresponding to the target electric energy meter according to the reference comparison equipment group.

Optionally, as a possible implementation manner, the correction information record table entry records a corresponding relationship between the estimated number of the history matching devices and the actual number of the history matching devices;

the processing module is specifically configured to, when determining that the target electric energy meter is corresponding to all second electric energy meters in the standard electric energy meter network,:

acquiring a target electric energy information storage strategy; the target electric energy information storage strategy records an electric energy information storage address corresponding to the target electric energy meter;

acquiring a first reference electric energy meter networking; the first reference electric energy meter networking is a reference networking corresponding to the actual number of the history comparison equipment, and the number of standard electric energy meters included in the first reference electric energy meter networking is greater than or equal to the number of standard electric energy meters included in the standard electric energy meter networking;

Acquiring a first electric energy information storage address corresponding to the first reference electric energy meter networking from the target electric energy information storage strategy;

acquiring the corresponding electric energy information storage digit of the target electric energy meter under the actual number of the history comparison equipment;

determining an initial reference networking address of the target electric energy meter in the standard electric energy meter networking;

acquiring a second reference electric energy meter networking;

determining second target reference electric energy meters corresponding to the actual quantity of the history comparison equipment in the second reference electric energy meter networking, and acquiring second electric energy information storage addresses corresponding to the second target reference electric energy meters from the target electric energy information storage strategy;

respectively calculating bit section interval lengths between the initial reference networking address and each second electric energy information storage address, and determining the average interval length of each calculated bit section interval length to serve as a target bit section interval length;

calculating the mean square error of the interval length of the target bit section relative to the average bit section length of the second reference electric energy meter network, and taking the calculated mean square error as a bit section length updating parameter;

Calculating a first target storage bit number corresponding to the electric energy information storage bit number according to the bit segment length updating parameter;

determining a second target storage bit number corresponding to the first electric energy information storage address;

and calculating a target object interval corresponding to the electric energy information storage bit number and the first electric energy information storage address according to the first target storage bit number and the second target storage bit number, and determining an electric energy meter with the corresponding storage address positioned in the target object interval as at least one second electric energy meter.

Optionally, as a possible implementation manner, the processing module is specifically configured to, when acquiring all first electric energy meters corresponding to the target electric energy meter in the standard electric energy meter network, perform:

acquiring object adaptation files of each standard electric energy meter in the standard electric energy meter networking; the standard electric energy meter networking comprises at least one target subnet configuration mode, and each target subnet configuration mode corresponds to at least one electric energy meter comprising the target electric energy meter;

dividing an object adaptation file corresponding to each target subnet configuration mode from the object adaptation files of the standard electric energy meter networking;

Determining an object adaptation file of the target electric energy meter according to the object adaptation file corresponding to each target subnet configuration mode;

according to the object adaptation file of the target electric energy meter, determining an electric energy meter adaptation list corresponding to the target electric energy meter;

acquiring target matching parameters of the target electric energy meter in the standard electric energy meter networking;

according to the target matching parameters, searching an electric energy meter corresponding to the target matching parameters in the electric energy meter adaptable list, and determining the searched electric energy meter as a first electric energy meter corresponding to the target electric energy meter in the standard electric energy meter networking.

Optionally, as a possible implementation manner, when the processing module generates the reference comparison device group of the target electric energy meter in the standard electric energy meter network according to the estimated amounts of the first electric energy meter, the second electric energy meter and the current comparison device, the processing module is specifically configured to:

combining the first electric energy meter and the second electric energy meter to form an initial reference comparison equipment group;

and determining the electric energy meters matched with the estimated quantity of the current comparison equipment in the initial reference comparison equipment group so as to generate a reference comparison equipment group.

Optionally, as a possible implementation manner, the processing module is specifically configured to, when generating the estimated number of current collation devices according to a first reference number difference between the estimated number of first history collation devices and the actual number of first history collation devices:

acquiring a third reference electric energy meter networking;

obtaining the estimated number of the second history contrast devices and the actual number of the second history contrast devices of the target electric energy meter in the third reference electric energy meter network;

determining a second reference number difference between the estimated number of second history matching devices and the actual number of second history matching devices;

calculating a target reference number difference of the target electric energy meter according to the first reference number difference and the second reference number difference;

acquiring a preset basic quantity value and an estimated quantity range;

and generating the estimated quantity of the current comparison equipment meeting the estimated quantity range according to the target reference quantity difference and the basic quantity value.

Optionally, as a possible implementation manner, when the processing module obtains, according to the estimated amounts of the first electric energy meter, the second electric energy meter and the current comparison device, a reference comparison device group of the target electric energy meter in the standard electric energy meter network, the processing module is specifically configured to:

Determining a target subnet configuration mode and a standard electric energy meter networking corresponding to the target electric energy meter;

acquiring a target strategy label set corresponding to the target subnet configuration mode and a standard networking label set corresponding to the standard electric energy meter networking;

generating a target reference label set according to the estimated quantity of the current comparison equipment, the target strategy label set and the standard networking label set;

and generating the reference control equipment group according to the first electric energy meter, the second electric energy meter and the target reference label set.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners as well. The apparatus embodiments described above are merely illustrative, for example, of the flowcharts and block diagrams in the figures that illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to some embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s).

It should also be noted that in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved.

It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

In addition, functional modules in some embodiments of the present application may be integrated together to form a single part, or each module may exist alone, or two or more modules may be integrated to form a single part.

The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method described in some embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a mobile hard disk, a read-only memory, a random access memory, a magnetic disk or an optical disk.

The foregoing is only a few examples of the present application and is not intended to limit the present application, and various modifications and variations may be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.

Claims (8)

1. The monitoring method of the electric energy running error data with stable electric energy consumption is characterized by being applied to a cluster master node in an electric energy data cluster monitoring system; the method comprises the following steps:

Determining at least one standard electric energy meter corresponding to a target electric energy meter in a target electric energy monitoring system;

for each error correction data segment which is determined in advance, according to the electric energy acquisition data of each standard electric energy meter, respectively determining a corresponding reference error correction vector of the target electric energy meter in each error correction data segment;

determining a target error correction vector according to the reference error correction vector corresponding to each error correction data segment of the target electric energy meter, and taking the error correction data segment corresponding to the target error correction vector as an initial correction data segment;

comparing the initial correction data segment with a preset reference correction data segment, if the numerical value difference between the initial correction data segment and the reference correction data segment is within a preset first threshold range, performing error correction parameter calculation on a target electric energy meter through the initial correction data segment and the reference correction data segment respectively, and determining a target correction data segment of the target electric energy meter from the initial correction data segment and the reference correction data segment according to the reference correction parameters corresponding to the initial correction data segment and the reference correction data segment calculated by the error correction parameters so as to perform error correction on the target electric energy meter by utilizing the target correction data segment; the reference correction data segment is an electric energy acquisition data segment with the minimum corresponding error in all electric energy acquisition data of the target electric energy monitoring system;

The method for determining the reference error correction vector corresponding to the target electric energy meter in each error correction data segment according to the electric energy collection data of each standard electric energy meter comprises the following steps:

sequentially traversing each error correction data segment according to a predetermined sequence, and when traversing to a current error correction data segment, dividing the current error correction data segment by a proportionality coefficient obtained by the error correction data segment corresponding to the standard electric energy meter in the current error correction data segment, and superposing the proportionality coefficient with an initial correction coefficient corresponding to the standard electric energy meter to obtain an updated correction coefficient corresponding to the standard electric energy meter of the target electric energy meter under the current error correction data segment so as to determine the initial correction coefficient corresponding to each standard electric energy meter of the target electric energy meter under the current error correction data segment to serve as a candidate correction coefficient corresponding to the target electric energy meter under the current error correction data segment;

under the current error correction data segment, calculating a correlation parameter between error data corresponding to the current error correction data segment and the candidate correction coefficient according to any candidate correction coefficient, calculating a standard electric energy meter with a difference value within a set second threshold value with a target electric energy meter, and calculating an average difference value between the target electric energy meter and the standard electric energy meter as an initial error correction vector of the target electric energy meter corresponding to the candidate correction coefficient so as to determine an initial error correction vector of the target electric energy meter corresponding to each candidate correction coefficient, and taking the initial error correction vector corresponding to the minimum candidate correction coefficient as a reference error correction vector of the target electric energy meter corresponding to the current error correction data segment until all error correction data segments are traversed, and obtaining a reference error correction vector of the target electric energy meter corresponding to each error correction data segment;

The determining a target error correction vector according to the reference error correction vector corresponding to the target electric energy meter in each error correction data segment comprises the following steps:

performing point multiplication calculation on a reference error correction vector corresponding to the target electric energy meter under an error correction data segment and a preset standard error correction vector, and if the calculated point multiplication result is larger than a set third threshold value, replacing the standard error correction vector with an initial error correction vector of the reference error correction vector until the reference error correction vector corresponding to the target electric energy meter in all error correction data segments is determined;

and taking the reference error correction vector corresponding to the standard error correction vector after the replacement as the target error correction vector.

2. The method according to claim 1, wherein the calculating the error correction parameter for the target electric energy meter by the initial correction data segment and the reference correction data segment, and determining the target correction data segment for the target electric energy meter from the initial correction data segment and the reference correction data segment according to the reference correction parameters corresponding to the initial correction data segment and the reference correction data segment calculated by the error correction parameter, respectively, includes:

Calculating error correction parameters of the target electric energy meter through the initial correction data segment to obtain reference correction parameters corresponding to the initial correction data segment; performing error correction parameter calculation on the target electric energy meter through the reference correction data segment to obtain a reference correction parameter corresponding to the reference correction data segment;

and selecting an error correction data segment with the minimum reference correction parameter from the initial correction data segment and the reference correction data segment as a target correction data segment of the target electric energy meter.

3. The method of claim 1, wherein all standard electric energy meters are electric energy meters in a standard electric energy meter grid in the electric energy data cluster monitoring system;

the determining at least one standard electric energy meter corresponding to the target electric energy meter in the target electric energy monitoring system comprises the following steps:

acquiring all first electric energy meters corresponding to the target electric energy meter in the standard electric energy meter networking; each first electric energy meter is a reference standard electric energy meter configured for the cluster master node;

determining all second electric energy meters corresponding to the target electric energy meter in the standard electric energy meter networking;

obtaining the estimated number of the first history comparison devices and the actual number of the first history comparison devices corresponding to the target electric energy meter in the correction information record table entry;

Generating the estimated quantity of the current comparison equipment according to the first reference quantity difference between the estimated quantity of the first history comparison equipment and the actual quantity of the first history comparison equipment;

generating a reference comparison equipment group of the target electric energy meter in the standard electric energy meter networking according to the estimated quantity of the first electric energy meter, the second electric energy meter and the current comparison equipment;

and obtaining a reference comparison equipment group corresponding to the reference comparison equipment group, and screening at least one standard electric energy meter corresponding to the target electric energy meter according to the reference comparison equipment group.

4. The method according to claim 3, wherein the correction information record table entry records a correspondence between the estimated number of history collation devices and the actual number of history collation devices;

and determining all second electric energy meters corresponding to the target electric energy meter in the standard electric energy meter networking, wherein the determining comprises the following steps:

acquiring a target electric energy information storage strategy; the target electric energy information storage strategy records an electric energy information storage address corresponding to the target electric energy meter;

acquiring a first reference electric energy meter networking; the first reference electric energy meter networking is a reference networking corresponding to the actual number of the history comparison equipment, and the number of standard electric energy meters included in the first reference electric energy meter networking is greater than or equal to the number of standard electric energy meters included in the standard electric energy meter networking;

Acquiring a first electric energy information storage address corresponding to the first reference electric energy meter networking from the target electric energy information storage strategy;

acquiring the corresponding electric energy information storage digit of the target electric energy meter under the actual number of the history comparison equipment;

determining an initial reference networking address of the target electric energy meter in the standard electric energy meter networking;

acquiring a second reference electric energy meter networking;

determining second target reference electric energy meters corresponding to the actual quantity of the history comparison equipment in the second reference electric energy meter networking, and acquiring second electric energy information storage addresses corresponding to the second target reference electric energy meters from the target electric energy information storage strategy;

respectively calculating bit section interval lengths between the initial reference networking address and each second electric energy information storage address, and determining the average interval length of each calculated bit section interval length to serve as a target bit section interval length;

calculating the mean square error of the interval length of the target bit section relative to the average bit section length of the second reference electric energy meter network, and taking the calculated mean square error as a bit section length updating parameter;

Calculating a first target storage bit number corresponding to the electric energy information storage bit number according to the bit segment length updating parameter;

determining a second target storage bit number corresponding to the first electric energy information storage address;

and calculating a target object interval corresponding to the electric energy information storage bit number and the first electric energy information storage address according to the first target storage bit number and the second target storage bit number, and determining an electric energy meter with the corresponding storage address positioned in the target object interval as at least one second electric energy meter.

5. The method according to claim 3, wherein the obtaining all first electric energy meters corresponding to the target electric energy meter in the standard electric energy meter network comprises:

acquiring object adaptation files of each standard electric energy meter in the standard electric energy meter networking; the standard electric energy meter networking comprises at least one target subnet configuration mode, and each target subnet configuration mode corresponds to at least one electric energy meter comprising the target electric energy meter;

dividing an object adaptation file corresponding to each target subnet configuration mode from the object adaptation files of the standard electric energy meter networking;

Determining an object adaptation file of the target electric energy meter according to the object adaptation file corresponding to each target subnet configuration mode;

according to the object adaptation file of the target electric energy meter, determining an electric energy meter adaptation list corresponding to the target electric energy meter;

acquiring target matching parameters of the target electric energy meter in the standard electric energy meter networking;

according to the target matching parameters, searching an electric energy meter corresponding to the target matching parameters in the electric energy meter adaptable list, and determining the searched electric energy meter as a first electric energy meter corresponding to the target electric energy meter in the standard electric energy meter networking.

6. The method of claim 3, wherein the generating a reference set of reference devices for the target electric energy meter in the standard electric energy meter network according to the estimated amounts of the first electric energy meter, the second electric energy meter and the current reference device comprises:

combining the first electric energy meter and the second electric energy meter to form an initial reference comparison equipment group;

and determining the electric energy meters matched with the estimated quantity of the current comparison equipment in the initial reference comparison equipment group so as to generate a reference comparison equipment group.

7. The method of claim 3, wherein generating the current reference device predicted quantity based on a first reference quantity difference between the first historical reference device predicted quantity and the first historical reference device actual quantity comprises:

acquiring a third reference electric energy meter networking;

obtaining the estimated number of the second history contrast devices and the actual number of the second history contrast devices of the target electric energy meter in the third reference electric energy meter network;

determining a second reference number difference between the estimated number of second history matching devices and the actual number of second history matching devices;

calculating a target reference number difference of the target electric energy meter according to the first reference number difference and the second reference number difference;

acquiring a preset basic quantity value and an estimated quantity range;

and generating the estimated quantity of the current comparison equipment meeting the estimated quantity range according to the target reference quantity difference and the basic quantity value.

8. The monitoring system for the electric energy running error data with stable electric energy consumption is characterized by being applied to a cluster master node in an electric energy data cluster monitoring system; the system comprises:

The processing module is used for determining at least one standard electric energy meter corresponding to the target electric energy meter in the target electric energy monitoring system;

the processing module is further used for respectively determining reference error correction vectors corresponding to the target electric energy meter in each error correction data segment according to the electric energy acquisition data of each standard electric energy meter for each error correction data segment which is determined in advance;

the processing module is further used for determining a target error correction vector according to the reference error correction vector corresponding to the target electric energy meter in each error correction data segment, and taking the error correction data segment corresponding to the target error correction vector as an initial correction data segment;

the correction module is used for comparing the initial correction data segment with a preset reference correction data segment, if the numerical value difference between the initial correction data segment and the reference correction data segment is within a preset first threshold range, error correction parameter calculation is carried out on a target electric energy meter through the initial correction data segment and the reference correction data segment respectively, and the target correction data segment of the target electric energy meter is determined from the initial correction data segment and the reference correction data segment according to the reference correction parameters corresponding to the initial correction data segment and the reference correction data segment calculated by the error correction parameters so as to carry out error correction on the target electric energy meter by utilizing the target correction data segment; the reference correction data segment is an electric energy acquisition data segment with the minimum corresponding error in all electric energy acquisition data of the target electric energy monitoring system;

The method for determining the reference error correction vector corresponding to the target electric energy meter in each error correction data segment according to the electric energy collection data of each standard electric energy meter comprises the following steps:

sequentially traversing each error correction data segment according to a predetermined sequence, and when traversing to a current error correction data segment, dividing the current error correction data segment by a proportionality coefficient obtained by the error correction data segment corresponding to the standard electric energy meter in the current error correction data segment, and superposing the proportionality coefficient with an initial correction coefficient corresponding to the standard electric energy meter to obtain an updated correction coefficient corresponding to the standard electric energy meter of the target electric energy meter under the current error correction data segment so as to determine the initial correction coefficient corresponding to each standard electric energy meter of the target electric energy meter under the current error correction data segment to serve as a candidate correction coefficient corresponding to the target electric energy meter under the current error correction data segment;

under the current error correction data segment, calculating a correlation parameter between error data corresponding to the current error correction data segment and the candidate correction coefficient according to any candidate correction coefficient, calculating a standard electric energy meter with a difference value within a set second threshold value with a target electric energy meter, and calculating an average difference value between the target electric energy meter and the standard electric energy meter as an initial error correction vector of the target electric energy meter corresponding to the candidate correction coefficient so as to determine an initial error correction vector of the target electric energy meter corresponding to each candidate correction coefficient, and taking the initial error correction vector corresponding to the minimum candidate correction coefficient as a reference error correction vector of the target electric energy meter corresponding to the current error correction data segment until all error correction data segments are traversed, and obtaining a reference error correction vector of the target electric energy meter corresponding to each error correction data segment;

The determining a target error correction vector according to the reference error correction vector corresponding to the target electric energy meter in each error correction data segment comprises the following steps:

performing point multiplication calculation on a reference error correction vector corresponding to the target electric energy meter under an error correction data segment and a preset standard error correction vector, and if the calculated point multiplication result is larger than a set third threshold value, replacing the standard error correction vector with an initial error correction vector of the reference error correction vector until the reference error correction vector corresponding to the target electric energy meter in all error correction data segments is determined;

and taking the reference error correction vector corresponding to the standard error correction vector after the replacement as the target error correction vector.