CN112684402A - Method and system for monitoring error data of stable electric energy operation of power consumption - Google Patents

Abstract

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

Description

Method and system for monitoring error data of stable electric energy operation of power 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 electric energy meters with various stable electricity consumptions.

Background

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

However, the large-scale cluster equipment also has some problems, for example, when the electric energy meter with abnormal work in the cluster system makes the data collected by the electric energy meter wrong, in the process of analyzing by using the data collected by the electric energy meter, the reliability of the analysis result is low because the wrong data of the electric energy meter is used for data analysis.

Disclosure of Invention

The application aims to provide a method and a system for monitoring running error data of a stable power consumption electric energy meter, so as to solve at least part of technical problems.

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

in a first aspect, the application provides a method for monitoring operation error data of a power consumption stable electric energy meter, which is applied to a cluster main 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 predetermined error correction data segment, respectively determining a reference error correction vector 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;

determining a target error correction vector according to a 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;

comparing the initial correction data segment with a preset reference correction data segment, if the numerical difference between the initial correction data segment and the reference correction data segment is within a set first threshold range, calculating an error correction parameter of 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 parameter, so as to perform error correction on the target electric energy meter by using the target correction data segment; the reference correction data segment is an electric energy acquisition data segment with the smallest 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 respectively includes:

sequentially traversing each error correction data segment according to a predetermined sequence, and when traversing to a current error correction data segment, for any standard electric energy meter, in the current error correction data segment, dividing the current error correction data segment by a proportional coefficient obtained by dividing the error correction data segment corresponding to the standard electric energy meter, and overlapping the proportional coefficient with an initial correction coefficient corresponding to the standard electric energy meter to obtain an updated correction coefficient of the target electric energy meter corresponding to the standard electric energy meter under the current error correction data segment, so as to determine the initial correction coefficient of the target electric energy meter corresponding to each standard electric energy meter under the current error correction data segment, and use the initial correction coefficient 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 the error data in the current error correction data segment and the candidate correction coefficient according to any candidate correction coefficient, wherein the difference value between the standard electric energy meter and the target electric energy meter is within a set second threshold value, and calculating the average difference value between the target electric energy meter and the standard electric energy meter as the initial error correction vector of the target electric energy meter corresponding to the candidate correction coefficient, determining an initial error correction vector of the target electric energy meter relative to each candidate correction coefficient, taking the initial error correction vector corresponding to the minimum candidate correction coefficient as a reference error correction vector corresponding to the target electric energy meter under the current error correction data segment until all the error correction data segments are traversed, and obtaining a reference error correction vector corresponding to the target electric energy meter in each error correction data segment.

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

aiming at a reference error correction vector corresponding to the target electric energy meter in an error correction data segment, performing point multiplication calculation on the reference error correction vector and a preset standard error correction vector, and if the calculated point multiplication result is greater 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 determining the reference error correction vector corresponding to the target electric energy meter in all the error correction data segments;

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

Optionally, as a possible implementation manner, the performing error correction parameter calculation on 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 calculation 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; 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 selecting the error correction data segment with the minimum reference correction parameter from the initial correction data segment and the reference correction data segment as the 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 includes:

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;

acquiring the estimated quantity of first history comparison equipment and the actual quantity of the first history comparison equipment corresponding to the target electric energy meter in a correction information recording list item;

generating the estimated quantity of the current comparison equipment according to the difference of the first reference quantity 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 out 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 recording table entry records a corresponding relationship between the estimated number of the history comparison devices and the actual number of the history comparison devices;

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

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

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

calculating the mean square error of the interval length of the target bit segment relative to the mean bit segment length of the second reference electric energy meter network, and taking the calculated mean square error as a bit segment 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 digit and the first electric energy information storage address according to the first target storage digit and the second target storage digit, and determining the 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 networking includes:

acquiring an object adaptation file 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 object adaptation files corresponding to the target subnet configuration modes 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;

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

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

and searching the electric energy meter corresponding to the target matching parameter in the electric energy meter adaptable list according to the target matching parameter, 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 a reference comparison device group of the target electric energy meter in the standard electric energy meter networking according to the estimated number of the first electric energy meter, the second electric energy meter, and the current comparison device includes:

merging 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 to generate a reference comparison equipment group.

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

acquiring a third reference electric energy meter networking;

acquiring the estimated quantity of the target electric energy meter in a second history comparison device of the third reference electric energy meter networking and the actual quantity of the second history comparison device;

determining a second reference quantity difference between the estimated quantity of the second history comparison equipment and the actual quantity of the second history comparison equipment;

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

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

and generating the estimated quantity of the current contrast 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 number 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 networking 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 comparison equipment group according to the first electric energy meter, the second electric energy meter and the target reference label collection.

In a second aspect, the application provides a monitoring system for operation error data of an electric energy meter with stable electricity consumption, which is applied to a cluster main 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 a target electric energy meter in the target electric energy monitoring system;

the processing module is further used for respectively determining a reference error correction vector 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 predetermined error correction data segment;

the processing module is further used for determining a target error correction vector according to a 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 difference between the initial correction data segment and the reference correction data segment is within a set first threshold range, calculating an error correction parameter of 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 parameter so as to perform error correction on the target electric energy meter by using the target correction data segment; the reference correction data segment is an electric energy acquisition data segment with the smallest corresponding error in all electric energy acquisition data of the target electric energy monitoring system.

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

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

Drawings

In order to more clearly explain the technical solutions of the present application, the drawings needed for the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also derive other related drawings from these drawings without inventive effort.

Fig. 1 is a flowchart of a method for monitoring operation error data of a power consumption stable electric energy meter according to the present application.

Fig. 2 is a structural diagram of a system for monitoring operation error data of a power consumption stable electric energy meter provided by the present application.

Detailed Description

To make the purpose, technical solutions and advantages of the present application clearer, 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 obvious that the described embodiments are some, but not all embodiments of the present application. 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 presented in the figures, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments obtained by a person of ordinary skill in the art based on a part of the embodiments in the present application without any creative effort belong to the protection scope of the present application.

It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.

It is noted that, herein, relational terms such as first and second, and the like may be 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. Also, 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 an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

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

Referring to fig. 1, fig. 1 is a flowchart of a method for monitoring operation 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, where the electric energy data cluster monitoring system is used to uniformly manage data collected by at least one electric energy monitoring system, and each electric energy monitoring system includes a plurality of electric energy meters. As shown in fig. 1, the method includes the following steps:

step S100, determining at least one standard electric energy meter corresponding to a target electric energy meter in the target electric energy monitoring system.

In this embodiment, taking one of the at least one electric energy monitoring system as a target electric energy monitoring system as an example, 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, that is: the data collected by each standard electric energy meter may be used as a calibration standard for other electric energy meters in the target electric energy monitoring system, for example, may be used as a calibration standard for a target electric energy meter in the target electric energy monitoring system.

And step S200, respectively determining the reference error correction vector 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 predetermined error correction data segment.

In this embodiment, the cluster master node may divide all data collected by the electric energy meter into a plurality of data segments according to a time interval, for example, 9 to 10 points may be one data segment, 10 to 11 points may be one data segment, 11 to 12 points may be one data segment · · 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 use the data segments as error correction data segments for each data segment predetermined by the cluster residential node according to the rule, and respectively determine reference error correction vectors 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, where each reference error correction vector may be used to indicate an error correction value for 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 corresponding reference error correction vector of 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.

In this embodiment, the cluster master node determines a target error correction vector based on the calculated reference error correction vector corresponding to the target electric energy meter in each error correction data segment, 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 difference between the initial correction data segment and the reference correction data segment is within a set first threshold range, calculating an error correction parameter for the target electric energy meter through the initial correction data segment and the reference correction data segment, 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 parameter, so as to perform error correction on the target electric energy meter by using 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 an error corresponding to each electric energy collection data segment according to historical data, and determine the electric energy collection data segment with the smallest corresponding error as the reference correction data segment.

Based on this, 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 value difference between the initial correction data segment and the reference correction data segment exceeds a set 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 difference between the initial correction data segment and the reference correction data segment is within a set first threshold range, calculating an error correction parameter of the 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 parameter, so as to perform error correction on the target electric energy meter by using the target correction data segment.

In this way, with the above-mentioned solution provided by this embodiment, after the initial correction data segment is determined based on the reference error correction vector from all the error correction data segments, when the value difference between the initial correction data segment and the preset reference correction data segment is within the set first threshold value range, the error correction parameter calculation is performed on the target electric energy meter through the initial correction data segment and the reference correction data segment, respectively, so as to select 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 parameter calculated by the error correction parameter, thereby performing error correction on the target electric energy meter by using the target correction data segment; compared with the prior art, the method can be used for carrying out error correction on the target electric energy meter so as to improve the reliability of data collected by the target electric energy meter and further provide the reliability of the data analysis result of the electric energy meter.

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

firstly, the cluster master node sequentially traverses each error correction data segment according to a predetermined sequence, when traversing to a current error correction data segment, for any standard electric energy meter in the current error correction data segment, a proportional coefficient obtained by dividing the current error correction data segment by the error correction data segment corresponding to the standard electric energy meter is superposed with an initial correction coefficient corresponding to the standard electric energy meter to obtain an updated correction coefficient of the target electric energy meter corresponding to the standard electric energy meter under the current error correction data segment, so as to determine the initial correction coefficient of the target electric energy meter corresponding to each standard electric energy meter under the current error correction data segment, and the initial correction coefficient is used as a candidate correction coefficient corresponding to the target electric energy meter under the current error correction data segment.

It is to be understood that the current error correction data segment is one of all error correction data segments.

Next, the cluster master node calculates a standard electric energy meter corresponding to the correlation parameter between the error data in the current error correction data segment and the candidate correction coefficient and having a difference value with a target electric energy meter within a set second threshold value under the current error correction data segment for 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 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 smallest 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 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 a target error correction vector according to a 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 the reference error correction vector and a preset standard error correction vector aiming at the reference error correction vector corresponding to the target electric energy meter in an error correction data segment, and if the calculated point multiplication result is greater than a set third threshold value, the standard error correction vector is replaced by the 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 the 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 as the target error correction vector.

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

firstly, the cluster main 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.

Then, the cluster master node selects an error correction data segment with the smallest reference correction parameter from the initial correction data segment and the reference correction data segment as a target correction data segment of the target power meter.

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

In addition, in 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.

That is to say, the electric energy data cluster monitoring system may set 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, in the process of executing step S100, the cluster master node may determine at least one standard electric energy meter by using the following scheme.

Firstly, the cluster master node acquires all first electric energy meters corresponding to a 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.

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

Then, the cluster master node obtains the estimated quantity of the first history comparison equipment and the actual quantity of the first history comparison equipment corresponding to the target electric energy meter in the correction information record list item.

The estimated quantity and the actual quantity of the comparison devices used by each electric energy meter when the historical time period is corrected can be recorded in the correction information recording list item.

And then, the cluster master node generates the estimated quantity of the current contrast equipment according to the difference of the first reference quantity between the estimated quantity of the first history contrast equipment and the actual quantity of the first history contrast 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 contrast equipment group corresponding to the reference contrast equipment group, and screens out at least one standard electric energy meter corresponding to the target electric energy meter according to the reference contrast equipment group.

Therefore, 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, the estimated quantity of the current comparison equipment is generated, a 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 estimated quantity of 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 the reliability of data correction is improved.

As a possible implementation manner, the correction information recording table entry records a corresponding relationship between the estimated number of the history comparison devices and the actual number of the history comparison devices.

Based on this, 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 main node acquires a target electric energy information storage strategy; and the target electric energy information storage strategy records an electric energy information storage address corresponding to the target electric energy meter.

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

The second network of reference electric energy meters may be formed by selecting standard electric energy meters included in the first network of reference electric energy meters in a random selection manner.

And then, the cluster master node determines second target reference electric energy meters corresponding to the actual number 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 from the target electric energy information storage strategies.

Then, the cluster master node calculates bit segment interval lengths between the initial reference networking address and each of the second power information storage addresses, and determines an average interval length of the calculated bit segment interval lengths as a target bit segment interval length.

Next, the cluster master node calculates a mean square error of the interval length of the target bit segment relative to the mean bit segment length of the second reference electric energy meter network, and uses the calculated mean square error as a bit segment length update parameter.

And then, the cluster main 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 main node determines a second target storage bit number corresponding to the first electric energy information storage address.

Then, the cluster master node calculates the 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 the electric energy meter with the corresponding storage address positioned in the target object interval as at least one second electric energy meter.

On the other hand, as a possible implementation manner, when acquiring all the first 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 an object adaptation file 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.

And then, the cluster main node divides an object adaptation file corresponding to each target sub-network configuration mode in 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 can configure the corresponding standard electric energy meter into different subnet configuration modes.

And then, the cluster master node determines an object adaptation file of the target electric energy meter according to the object adaptation file corresponding to each target sub-network 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 adaptation file of the target electric energy meter.

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

Then, the cluster master node searches an 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.

As a possible implementation manner, when the cluster master node generates a reference comparison device group of the target electric energy meter in the standard electric energy meter networking according to the estimated number 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 merges the first electric energy meter and the second electric energy meter to form an initial reference comparison device group. And then, the cluster master node determines an electric energy meter matched with the estimated quantity of the current comparison equipment in the initial reference comparison equipment group to generate a reference comparison equipment group.

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

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

Then, the cluster master node obtains the estimated quantity of the target electric energy meter in a second history comparison device of the third reference electric energy meter networking and the actual quantity of the second history comparison device.

Next, the cluster master node determines a second reference quantity difference between the estimated quantity of the second history contrasting equipment and the actual quantity of the second history contrasting equipment.

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

And then, the cluster main node acquires a preset basic quantity value and an estimated quantity range.

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

As a possible implementation manner, when obtaining the reference comparison device group of the target electric energy meter in the standard electric energy meter networking according to the estimated number of the first electric energy meter, the second electric energy meter, and the current comparison device, the cluster master node may adopt the following scheme:

firstly, the cluster master node determines a target sub-network 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 sub-network 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 number of the current comparison equipment, the target strategy label set and the standard networking label set.

Then, the cluster master node generates the reference comparison device 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 method for monitoring the operation error data of the electricity consumption stable electric energy meter provided by the present application, this embodiment further provides a system 300 for monitoring the operation error data of the electricity consumption stable electric energy meter as shown in fig. 2, where the system 300 is applied to a cluster master node in an electric energy data cluster monitoring system, and the 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 a target electric energy meter in the target electric energy monitoring system;

the processing module is further used for respectively determining a reference error correction vector 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 predetermined error correction data segment;

the processing module is further used for determining a target error correction vector according to a 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 difference between the initial correction data segment and the reference correction data segment is within a set first threshold range, calculating an error correction parameter of 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 parameter so as to perform error correction on the target electric energy meter by using the target correction data segment; the reference correction data segment is an electric energy acquisition data segment with the smallest 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 respectively determines 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, 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, for any standard electric energy meter, in the current error correction data segment, dividing the current error correction data segment by a proportional coefficient obtained by dividing the error correction data segment corresponding to the standard electric energy meter, and overlapping the proportional coefficient with an initial correction coefficient corresponding to the standard electric energy meter to obtain an updated correction coefficient of the target electric energy meter corresponding to the standard electric energy meter under the current error correction data segment, so as to determine the initial correction coefficient of the target electric energy meter corresponding to each standard electric energy meter under the current error correction data segment, and use the initial correction coefficient 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 the error data in the current error correction data segment and the candidate correction coefficient according to any candidate correction coefficient, wherein the difference value between the standard electric energy meter and the target electric energy meter is within a set second threshold value, and calculating the average difference value between the target electric energy meter and the standard electric energy meter as the initial error correction vector of the target electric energy meter corresponding to the candidate correction coefficient, determining an initial error correction vector of the target electric energy meter relative to each candidate correction coefficient, taking the initial error correction vector corresponding to the minimum candidate correction coefficient as a reference error correction vector corresponding to the target electric energy meter under the current error correction data segment until all the error correction data segments are traversed, and obtaining a reference error correction vector corresponding to the target electric energy meter in each error correction data segment.

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

aiming at a reference error correction vector corresponding to the target electric energy meter in an error correction data segment, performing point multiplication calculation on the reference error correction vector and a preset standard error correction vector, and if the calculated point multiplication result is greater 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 determining the reference error correction vector corresponding to the target electric energy meter in all the error correction data segments;

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

Optionally, as a possible implementation manner, when the correction module performs error correction parameter calculation on the target electric energy meter through the initial correction data segment and the reference correction data segment respectively, and determines 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, the correction module is specifically configured to:

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; 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 selecting the error correction data segment with the minimum reference correction parameter from the initial correction data segment and the reference correction data segment as the 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;

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

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;

acquiring the estimated quantity of first history comparison equipment and the actual quantity of the first history comparison equipment corresponding to the target electric energy meter in a correction information recording list item;

generating the estimated quantity of the current comparison equipment according to the difference of the first reference quantity 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 out 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 recording table entry records a corresponding relationship between the estimated number of the history comparison devices and the actual number of the history comparison devices;

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

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

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

calculating the mean square error of the interval length of the target bit segment relative to the mean bit segment length of the second reference electric energy meter network, and taking the calculated mean square error as a bit segment 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 digit and the first electric energy information storage address according to the first target storage digit and the second target storage digit, and determining the 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, when acquiring all first electric energy meters corresponding to the target electric energy meter in the standard electric energy meter networking, the processing module is specifically configured to:

acquiring an object adaptation file 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 object adaptation files corresponding to the target subnet configuration modes 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;

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

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

and searching the electric energy meter corresponding to the target matching parameter in the electric energy meter adaptable list according to the target matching parameter, 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 reference comparison device group of the target electric energy meter in the standard electric energy meter networking is generated according to the estimated number of the first electric energy meter, the second electric energy meter, and the current comparison device, the processing module is specifically configured to:

merging 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 to generate a reference comparison equipment group.

Optionally, as a possible implementation manner, when the current estimated comparison device number is generated according to a first reference number difference between the estimated first history comparison device number and the actual first history comparison device number, the processing module is specifically configured to:

acquiring a third reference electric energy meter networking;

acquiring the estimated quantity of the target electric energy meter in a second history comparison device of the third reference electric energy meter networking and the actual quantity of the second history comparison device;

determining a second reference quantity difference between the estimated quantity of the second history comparison equipment and the actual quantity of the second history comparison equipment;

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

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

and generating the estimated quantity of the current contrast 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 obtaining the reference comparison device group of the target electric energy meter in the standard electric energy meter networking according to the estimated number of the first electric energy meter, the second electric energy meter, and the current comparison device, 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 comparison equipment group according to the first electric energy meter, the second electric energy meter and the target reference label collection.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures 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 an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent 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 or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to perform all or part of the steps of the method according to some embodiments of the present application. And the aforementioned storage medium includes: u disk, removable hard disk, read only memory, random access memory, magnetic or optical disk, etc. for storing program codes.

The above description is only a few examples of the present application and is not intended to limit the present application, and those skilled in the art will appreciate that various modifications and variations can be made in the present application. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall 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 attributes 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 (10)

1. A method for monitoring operation error data of a stable power consumption electric energy meter is characterized by being applied to a cluster main 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 predetermined error correction data segment, respectively determining a reference error correction vector 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;

determining a target error correction vector according to a 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;

comparing the initial correction data segment with a preset reference correction data segment, if the numerical difference between the initial correction data segment and the reference correction data segment is within a set first threshold range, calculating an error correction parameter of 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 parameter, so as to perform error correction on the target electric energy meter by using the target correction data segment; the reference correction data segment is an electric energy acquisition data segment with the smallest corresponding error in all electric energy acquisition data of the target electric energy monitoring system.

2. The method of claim 1, wherein the 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:

sequentially traversing each error correction data segment according to a predetermined sequence, and when traversing to a current error correction data segment, for any standard electric energy meter, in the current error correction data segment, dividing the current error correction data segment by a proportional coefficient obtained by dividing the error correction data segment corresponding to the standard electric energy meter, and overlapping the proportional coefficient with an initial correction coefficient corresponding to the standard electric energy meter to obtain an updated correction coefficient of the target electric energy meter corresponding to the standard electric energy meter under the current error correction data segment, so as to determine the initial correction coefficient of the target electric energy meter corresponding to each standard electric energy meter under the current error correction data segment, and use the initial correction coefficient 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 the error data in the current error correction data segment and the candidate correction coefficient according to any candidate correction coefficient, wherein the difference value between the standard electric energy meter and the target electric energy meter is within a set second threshold value, and calculating the average difference value between the target electric energy meter and the standard electric energy meter as the initial error correction vector of the target electric energy meter corresponding to the candidate correction coefficient, determining an initial error correction vector of the target electric energy meter relative to each candidate correction coefficient, taking the initial error correction vector corresponding to the minimum candidate correction coefficient as a reference error correction vector corresponding to the target electric energy meter under the current error correction data segment until all the error correction data segments are traversed, and obtaining a reference error correction vector corresponding to the target electric energy meter in each error correction data segment.

3. The method according to claim 1 or 2, wherein determining a target error correction vector according to the corresponding reference error correction vector of the target electric energy meter in each error correction data segment comprises:

aiming at a reference error correction vector corresponding to the target electric energy meter in an error correction data segment, performing point multiplication calculation on the reference error correction vector and a preset standard error correction vector, and if the calculated point multiplication result is greater 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 determining the reference error correction vector corresponding to the target electric energy meter in all the error correction data segments;

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

4. The method according to claim 1, wherein said performing error correction parameter calculations on the target power meter by said initial correction data segment and said reference correction data segment, respectively, and determining the target correction data segment of the target power 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, comprises:

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

5. The method of claim 1, wherein all 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 includes:

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;

acquiring the estimated quantity of first history comparison equipment and the actual quantity of the first history comparison equipment corresponding to the target electric energy meter in a correction information recording list item;

generating the estimated quantity of the current comparison equipment according to the difference of the first reference quantity 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 out at least one standard electric energy meter corresponding to the target electric energy meter according to the reference comparison equipment group.

6. The method according to claim 5, wherein the correction information recording table entry records a corresponding relationship between the estimated number of the history comparison devices and the actual number of the history comparison devices;

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

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

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

calculating the mean square error of the interval length of the target bit segment relative to the mean bit segment length of the second reference electric energy meter network, and taking the calculated mean square error as a bit segment 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 digit and the first electric energy information storage address according to the first target storage digit and the second target storage digit, and determining the electric energy meter with the corresponding storage address positioned in the target object interval as at least one second electric energy meter.

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

acquiring an object adaptation file 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 object adaptation files corresponding to the target subnet configuration modes 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;

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

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

and searching the electric energy meter corresponding to the target matching parameter in the electric energy meter adaptable list according to the target matching parameter, 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.

8. The method of claim 5, wherein the generating a reference comparison device group of the target electric energy meter in the standard electric energy meter network according to the estimated number of the first electric energy meter, the second electric energy meter and the current comparison device comprises:

merging 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 to generate a reference comparison equipment group.

9. The method of claim 5, wherein generating the estimated current number of comparison devices based on a first reference number difference between the estimated first historical comparison device number and the actual first historical comparison device number comprises:

acquiring a third reference electric energy meter networking;

acquiring the estimated quantity of the target electric energy meter in a second history comparison device of the third reference electric energy meter networking and the actual quantity of the second history comparison device;

determining a second reference quantity difference between the estimated quantity of the second history comparison equipment and the actual quantity of the second history comparison equipment;

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

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

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

10. A monitoring system for operation error data of a stable electricity consumption electric energy meter is characterized in that the monitoring system is applied to a cluster main 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 a target electric energy meter in the target electric energy monitoring system;

the processing module is further used for respectively determining a reference error correction vector 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 predetermined error correction data segment;

the processing module is further used for determining a target error correction vector according to a 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 difference between the initial correction data segment and the reference correction data segment is within a set first threshold range, calculating an error correction parameter of 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 parameter so as to perform error correction on the target electric energy meter by using the target correction data segment; the reference correction data segment is an electric energy acquisition data segment with the smallest corresponding error in all electric energy acquisition data of the target electric energy monitoring system.

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