CN109003436B

CN109003436B - Method and system for calculating error in multi-table-in-one copying system

Info

Publication number: CN109003436B
Application number: CN201810862120.0A
Authority: CN
Inventors: 侯铁信; 朱海昱; 侯飞
Original assignee: Wuhan National Survey Data Technology Co ltd
Current assignee: Wuhan National Survey Data Technology Co ltd
Priority date: 2018-08-01
Filing date: 2018-08-01
Publication date: 2020-07-07
Anticipated expiration: 2038-08-01
Also published as: CN109003436A

Abstract

The invention relates to the technical field of metering, and provides a method and a system for calculating errors in a multi-table-in-one copying system. The method comprises the steps that at least one error standard device with known metering error values is accessed into each type of sub-network, and metering data of a line where a metering device in each type of sub-network measures is sent to an error calculator; the error calculator establishes an equation set according to the received metering data in different time periods by using an equivalent relation that the sum of the metering data measured by the input nodes in the sub-network is equal to the sum of the metering data measured by each output node after the metering data measured by each output node weights the transmission loss factors according to one or more sub-networks. In the embodiment of the invention, various error standard devices with known metering error values are accessed into each receiving sub-network, so that the metering error values of the metering devices on each node are obtained by utilizing the error calculator for reporting each metering data by utilizing the reporting network owned by the system and solving based on the equation set.

Description

Method and system for calculating error in multi-table-in-one copying system

[ technical field ] A method for producing a semiconductor device

The invention relates to the technical field of metering, in particular to a method and a system for calculating errors in a multi-table-in-one copying system.

[ background of the invention ]

The pre-sending advantages of wide coverage and the like of a company acquisition system are fully utilized, and the four-meter reading and receiving work is accelerated. The method has the advantages that the related standards of meter installation of the newly-built cell are promoted, the unified research of the related technical scheme of four-meter reading, communication protocols, main station standard arrangement and the like is developed, and the water, gas and heat companies are guided to use for reference and adopt new technical standards.

Recent work has focused on providing data services and communication channel sharing for water, gas, and heat companies. The method proposes the experience and the effect of exchanging national network companies with water, gas and heat companies on the construction of the acquisition system, continuously provides data service of pilot engineering, and improves the dependence of the pilot engineering on data. The resource sharing of the acquisition channel can greatly reduce the cost of the self-built acquisition system of water, gas and heat companies and the like. However, there is no method proposed in the prior art that can effectively check the table errors.

In view of the above, overcoming the drawbacks of the prior art is an urgent problem in the art.

[ summary of the invention ]

The technical problem to be solved by the invention is how to realize the error calculation of each metering device forming the system in the existing multi-table-in-one system.

The invention adopts the following technical scheme:

in a first aspect, the present invention provides a method for calculating an error in a multi-expression-in-one transcription system, wherein an error standard device with a known metering error value is accessed to each type of transcription sub-network, and the transcription sub-network includes: the error standard device with known metering error values accessed in the corresponding type of sub-network can be specifically divided into an ammeter-error standard device, a water meter-error standard device, a gas meter-error standard device and a heat meter-error standard device, and specifically:

the metering device in each type of the copying sub-network measures the metering data of the line and sends the metering data to the error calculator;

the error calculator establishes an equation set according to the equivalent relation in each type of the transcription sub-network and the received metering data of different periods; the equal relation is that the sum of the metering data measured by the input nodes of the transcription sub-networks of various types is equal to the sum of the metering data measured by the output nodes after the metering data weights the transmission loss factors of the output nodes; when the error normalizers and the metering devices of various types are accessed into the corresponding sub-networks of various types of copying, the error normalizers and the metering devices of various types are respectively used as a member of an input node or a member of an output node in the sub-networks of various types of copying;

and solving the equation set to obtain the metering error value of the metering device on each node in the sub-network.

Preferably, the sub-collection network specifically includes:

the input node and the output node are directly connected, wherein energy passing through the input node is transmitted to an energy consumption end through the output node after being subjected to line loss; wherein the energy source comprises: electrical, hydraulic, pneumatic and/or thermal energy.

Preferably, the solving of the equation set obtains a metering error of a metering device on each node in the sub-network, where the solving of the equation set under a specific type of sub-network is specifically:

presetting a group of initial error values, selecting one error variable from error variables to be solved one by one as an object to be solved, and taking the preset initial error value as a parameter for other error variables to be considered as a known object;

successively utilizing an optimization algorithm to solve the object to be solved, wherein the solving process specifically comprises the following steps:

gradually adjusting the value of the object to be solved by comparing the function calculation results obtained by the object to be solved under different value conditions;

obtaining a metering error value which is currently used as the object to be solved when the deviation of the two function calculation results is smaller than a first preset threshold value by taking the object to be solved as a function of an independent variable;

and sequentially obtaining the respective metering error values of other error variables in the group of error variables according to the solving mode aiming at the first round of objects to be solved.

Preferably, when the type of the sub-network is specifically an electric sub-network, the error standard device comprises an electric energy metering chip and a circuit thereof, a voltage sensor and a current sensor; the step of sending the measurement data of the line on which the measurement device in each type of the sub-network is located to the error calculator specifically includes: :

the intelligent electric meters and the error standard device measure and record respective electric energy data according to a preset mode, and send the electric energy data to the error calculator;

then, the solving of the equation set to obtain the metering error of the metering device on each node in the sub-network includes:

and the error calculator calculates the metering error value of each intelligent ammeter according to the load current sectional consideration according to the received electric energy data subjected to data processing.

Preferably, the error standard device for accessing at least one known metering error value in each type of sub-network for transcribing data specifically includes:

connecting the error standard device in series to a line where any intelligent electric meter in the electricity type reading subsystem is located; alternatively, the first and second electrodes may be,

and connecting the output nodes of the error standard device and the system to be measured in parallel, and adding an energy consumption end for the error standard device.

Preferably, the measuring and recording of the respective electric energy data specifically includes:

each intelligent ammeter determines the load current segment to which the electric energy data belongs according to the measured electric energy data and the load current value;

and searching the position corresponding to the load current segment in the storage area to finish recording and storing.

Preferably, the preset mode specifically includes:

setting each intelligent electric meter in the electric meter reading sub-network to be segmented according to the designated time and the load current, measuring and recording respective electric energy data, classifying and storing according to the load current segments, and sending to an error calculator; alternatively, the first and second electrodes may be,

and setting each intelligent electric meter in the electric meter reading sub-network to measure and record respective electric energy data and current data according to specified time, and sending the electric energy data and the current data to the error calculator for processing.

In a second aspect, the present invention provides a system for calculating errors in a multiple-meter-in-one copying system, where the system includes a server, a concentrator, and at least one multiple-meter-in-one combination, where the multiple-meter-in-one combination is composed of a smart meter and one or more member meters in a water meter, a gas meter, and a heat meter, where the smart meter in each multiple-meter-in combination establishes a data link with the water meter, the gas meter, and/or the heat meter through micropower, the smart meter in each multiple-meter-in combination establishes a data link with the concentrator through a carrier or micropower, the concentrator establishes a data link with the server through a wireless network, and the system further includes a standard multiple-in-one combination with known values of the measurement errors of each member meter, specifically:

the multi-expression-in-one standard combination is accessed to an energy monitoring network formed by at least one multi-expression-in-one combination in a parallel connection or serial connection mode to form a network of errors to be calculated; the network of the error to be calculated is divided into the following types according to the energy types: the system comprises an electric energy source type copying sub-network, a water energy type copying sub-network, a gas energy type copying sub-network and/or a heat energy type copying sub-network;

the network to be subjected to error calculation is provided with one or more input nodes and one or more output nodes, wherein the nodes are specifically the combination of multiple tables and the standard combination of multiple tables; wherein, the energy sum passing through the input node is equal to the accumulated sum of the measured data of each output node after weighting the transmission loss factors thereof;

the intelligent electric meters in the standard combination of multiple meters and one meter are provided with data links with the water meters, the gas meters and/or the heat meters through micropower, and the intelligent electric meters in the standard combination of multiple meters and one meter are provided with data links with the concentrator through carrier waves or micropower.

In a third aspect, the invention provides a system for calculating errors in a system for reading multiple meters in one, the system includes a server, a concentrator, a dual-mode collector, and at least one combination for reading multiple meters in one, the combination for reading multiple meters in one is composed of one or more member meters in an intelligent electric meter, a water meter, a gas meter and a heat meter, wherein a data link is established between the water meter, the gas meter and/or the heat meter in each combination for reading multiple meters in one and the dual-mode collector through micropower, a data link is established between the intelligent electric meter in each combination for reading multiple meters in one and the dual-mode collector through RS-485, the concentrator establishes a data link with the server through a wireless network, the system further includes a standard combination for reading multiple meters in one with known error values of each member meter, and specifically:

and a data link is established between the water meter, the gas meter and/or the heat meter in the standard combination with multiple meters in one and the dual-mode collector through micropower, and a data link is established between the intelligent electric meter in the standard combination with multiple meters in one and the dual-mode collector through RS-485.

In a fourth aspect, the present invention provides a system for calculating errors in a system for reading multiple meters in one, where the system includes a server, a concentrator, a collector, and at least one combination for reading multiple meters in one, where the combination for reading multiple meters in one is composed of one or more member meters in an intelligent electric meter, a water meter, a gas meter, and a heat meter, where the water meter, the gas meter, and/or the heat meter in each combination for reading multiple meters in one establishes a data link with the collector through micropower, the intelligent electric meter and the collector in each combination for reading multiple meters in one establish a data link with the concentrator through RS-485, the concentrator establishes a data link with the server through a wireless network, and the system further includes a standard combination for reading multiple meters in one with known errors of each member meter, specifically:

the multi-expression-in-one standard combination is accessed to an energy monitoring network formed by one or more multi-expression-in-one in a parallel connection or serial connection mode to form a network with errors to be calculated; the network of the error to be calculated is divided into the following types according to the energy types: the system comprises an electric energy source type copying sub-network, a water energy type copying sub-network, a gas energy type copying sub-network and/or a heat energy type copying sub-network;

the network to be subjected to error calculation is provided with one or more input nodes and one or more output nodes, wherein the nodes are specifically the combination of multiple table unification and the combination of standard multiple table unification; wherein, the energy sum passing through the input node is equal to the accumulated sum of the measured data of each output node after weighting the transmission loss factors thereof;

the water meter, the gas meter and/or the heat meter in the standard combination with multiple meters in one establish a data link with the collector through micropower, and the intelligent electric meter in the standard combination with multiple meters in one establishes a data link with the concentrator through RS-485.

Compared with the prior art, the invention has the beneficial effects that: in the embodiment of the invention, various error standard devices with known metering error values are accessed into each receiving sub-network, so that an error calculator for reporting each metering data is utilized by a reporting network owned by the system, the error calculator utilizes an equation principle of the summation of the energy sum of input nodes which is equal to the metering data measured by each output node after weighting each transmission loss factor, so as to construct an equation carrying error variables of each metering device, a solvable equation set is obtained by arranging the metering data and bringing the metering data into the equation, and finally the metering error values of the metering devices on each node are obtained based on the solution of the equation set. The operator can confirm whether the metering accuracy of a specific metering device in the current multi-meter-in-one copying system exceeds a reasonable range according to the metering error of the metering device on each node, and can replace the metering device with a corresponding problem in a targeted manner.

[ description of the drawings ]

FIG. 1 is a schematic flowchart of a method for error calculation in a multi-table-in-one transcription system according to an embodiment of the present invention;

FIG. 2 is a system architecture diagram of error calculation in a multi-table-in-one transcription system according to an embodiment of the present invention;

FIG. 3 is a system architecture diagram illustrating error calculation in an alternative embodiment of a multiple table one copy system;

FIG. 4 is a system architecture diagram illustrating error calculation in an alternative embodiment of a multiple table one copy system;

FIG. 5 is a system architecture diagram illustrating error calculation in an alternative embodiment of a multiple table one transcription system;

FIG. 6 is a system architecture diagram illustrating error calculation in an alternative embodiment of a multiple table one transcription system;

FIG. 7 is a partial flowchart of a method for error calculation in a multi-table-in-one transcription system according to an embodiment of the present invention;

FIG. 8 is a schematic diagram of an electrical energy data storage relationship provided by an embodiment of the present invention;

FIG. 9 is a schematic diagram of an electrical energy data storage relationship provided by an embodiment of the present invention;

fig. 10 is a schematic structural diagram of an electrical energy data storage relationship provided in an embodiment of the present invention.

Fig. 11 is a flowchart illustrating a method for calculating an error in a multi-table-in-one transcription system according to an embodiment of the present invention.

[ detailed description ] embodiments

In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.

In various embodiments of the present invention, the error specifically includes a meter-metering error (also referred to as a power-metering error), a meter-metering error (also referred to as a water-metering error), a meter-metering error (also referred to as a gas-metering error), and/or a meter-metering error (also referred to as a heat-metering error).

In the embodiments of the present invention, the relevant preset threshold may be obtained through testing according to technical experience of a person skilled in the art or through experiments, and therefore, on the basis of disclosing the implementation method of the embodiments of the present invention, the relevant achievable preset threshold all falls within the protection scope of the present invention.

Example 1:

the embodiment of the invention provides a method for calculating errors in a multi-table-in-one copying system, which comprises the following steps of:

in step 201, at least one error standard with known metering error value is accessed in each type of sub-network.

Wherein each type of sub-network comprises: one or more of the electric sub-network, the water sub-network, the gas sub-network and the heat sub-network can be selected, and the error standard device of the known metering error value accessed in the corresponding type sub-network can be specifically divided into: the method comprises the following steps of accessing at least one electric meter-error standard device in an electric meter reading sub-network, accessing at least one water meter-error standard device in a water meter reading sub-network, accessing at least one gas meter-error standard device in a gas meter reading sub-network and/or accessing at least one heat meter-error standard device in a heat meter reading sub-network.

The calculation mode of the metering error value of the error standard device is various, and the measurement can be completed through professional measurement equipment; for example: the water meter-error standard device and the gas meter-error standard device can also complete the measurement of the metering error value and the like by connecting a standard container and the error standard device.

In step 202, the metering devices in each type of sub-network measure the metering data of the line and send the data to the error calculator.

In different types of sub-networks, the metering device may appear as an electricity meter in an electricity sub-network, a water meter in a water sub-network, a gas meter in a gas sub-network, and a heat meter in a heat sub-network.

In a specific implementation, the metering device sends the metering data to the error calculator by forwarding the metering data through a concentrator, and the following embodiments 2 to 5 will describe how the sending to the error calculator is implemented in conjunction with a specific system.

In step 203, the error calculator establishes an equation set according to the equivalent relation in each type of transcription sub-network and the received metering data in different time periods; the equal quantity relation is the sum of the metering data measured by the input nodes of the copying sub-networks of all types and the sum of the metering data measured by the output nodes and the transmission loss factors of all the metering data.

And when the error normalizers and the metering devices of various types are accessed to the corresponding transcription sub-networks of various types, the error normalizers and the metering devices of various types are respectively used as input nodes and output nodes in the transcription sub-networks of various types. I.e. the functional role played by each type of error normalizer and each type of metering device in accessing the corresponding each type of transcription sub-network, is also called as an input node or an output node in the embodiment of the present invention.

In step 204, the equation set is solved to obtain the metering error value of the metering device on each node in the sub-network.

The metering error value of the metering device on each node relates to the metering devices forming the node, and the metering devices comprise an electric meter, a water meter, a gas meter and/or a heat meter.

The solving method in step 204 includes multiple solutions, for example:

the method comprises the following steps of firstly, taking all metering devices in different types of sub-reading networks as elements forming an equation set integrally, wherein each metering device comprises an electric meter, a water meter, a gas meter and/or a heat meter. Namely, the electric meter metering data, the water meter metering data, the gas meter metering data and the heat meter metering data are combined to construct an equation set.

And secondly, solving the equation set with the corresponding metering devices (an electric meter, a water meter, a gas meter or a heat meter) in the sub-networks of the various types of the copying sub-networks as equation constituent elements respectively to obtain the metering error values of the metering devices on the nodes in the sub-networks of the various types of the copying sub-networks. That is, the error value of the measuring device in each unit is solved by using the type of the copy subnetwork as a unit.

And thirdly, dividing different types of sub-networks for reading into different groups, forming elements of the equation set, and completing corresponding solution. For example: the meter metering data and the meter metering data are combined into an equation to be solved.

In the embodiment of the invention, various error calibrators with known metering error values are accessed into each receiving sub-network, so that an error calculator for reporting each metering data is utilized by a reporting network owned by the system, the error calculator utilizes the principle that the energy of an input node is the same as the energy of an output node to construct an equation carrying error variables of each metering device, a solvable equation set is obtained by arranging the metering data and introducing the metering data into the equation, and finally the metering error values of the metering devices on each node are obtained based on the solution of the equation set.

And the operator can accurately confirm which specific metering device in the current multi-meter-in-one copying system has the metering accuracy exceeding a reasonable range according to the metering error of the metering device on each node, and can pertinently replace the metering device with a corresponding problem.

In the implementation process of the embodiment of the present invention, the selected input node and output node are not arbitrary, and in order to ensure the establishment of the equation, the input node and output node need to be correspondingly limited, as shown in fig. 2, specifically:

the input node and the output node are directly connected, namely energy-consuming equipment is not loaded between the input node and the output node. The energy passing through the input node is transmitted to the energy consumption end through the output node after line loss (or no loss); wherein the energy source comprises: electrical, hydraulic, pneumatic and/or thermal energy.

The equation set established in the embodiment of the invention can cause that the error value of each metering device cannot be obtained through solving the equation set because of the existence of the influence factors of the valid bit reserved when each metering device records the energy value. Therefore, based on the above theoretical analysis, the embodiment of the present invention further provides an error value obtained by solving the deviation in the preset range by using an optimization algorithm. Specifically, in the step 204, the equation group is solved to obtain the metering error of the metering device on each node in the sub-network, and there is a solution method of an optimization algorithm, which specifically includes:

presetting a group of initial error values, assigning the initial error values to error variables to be solved in an equation set, selecting one error variable from the group of error variables to be solved one by one as an object to be solved in the first round, and taking the preset initial error values as parameters of other error variables and determining the error variables as known objects;

the first round of solving of the object to be solved is carried out by using an optimization algorithm, which specifically comprises the following steps:

gradually adjusting the value of the object by comparing the function calculation results obtained by the object under different value-taking conditions;

In this embodiment 1, the number of the error standards may be multiple, and in the case of introducing multiple error standards into the test system, acquisition of collected data may be reduced in a specific calculation process, so that calculation efficiency is improved. The connection method is usually to connect an error standard in series in each of the plurality of measurement lines, and the principle thereof is not described herein.

In this embodiment 1, a method for calculating an error in a multiple-expression-one transcription system is provided, however, in different multiple-expression-one transcription systems, implementation manners of "measuring data of a line where a measuring device in each type of transcription sub network measures and sending the measured data to an error calculator" related in step 201 are different, and then how to complete step 201 in the embodiment of the present invention will be described in combination with a specific architecture of the multiple-expression-one transcription system.

Example 2:

the embodiment of the invention provides a system for calculating errors in a multi-meter-in-one copying system, which comprises a server, a concentrator and at least one multi-meter-in-one combination as shown in fig. 3, wherein the multi-meter-in-one combination as shown in fig. 3 is composed of an intelligent electric meter, a water meter, a gas meter and a heat meter, but the water meter, the gas meter and the heat meter in the multi-meter-in-one combination are optional in actual implementation. The function of the error calculator referred to in embodiment 1 is embodied in this embodiment by the server. The intelligent electric meters in each multi-meter-in-one combination establish a data link with the water meter, the gas meter and the heat meter through micropower, the intelligent electric meters in each multi-meter-in-one combination establish a data link with the concentrator through carrier waves, the concentrator establishes a data link with the server through a wireless network, and the system further comprises a multi-meter-in-one standard combination with known metering error values of each metering device. The error standard in embodiment 1 may exist in a combined form in this embodiment, or may exist in a separately installed form. Specifically, the method comprises the following steps:

the multi-expression-in-one standard combination is accessed to an energy monitoring network formed by at least one multi-expression-in-one combination in a parallel connection or serial connection mode to form a network of errors to be calculated; the network of the error to be calculated is divided into the following types according to the energy types: the system comprises an electric energy source type copying sub-network, a water energy type copying sub-network, a gas energy type copying sub-network and a heat energy type copying sub-network;

the intelligent electric meters in the standard combination of integrating multiple meters and the water meter, the gas meter and the heat meter are provided with data links through micropower, and the intelligent electric meters in the standard combination of integrating multiple meters and the concentrator are provided with data links through carrier waves.

With the system for calculating an error in a multi-expression-in-one transcription system provided in the embodiment of the present invention, the content "the metering data of the line on which the metering device in each type of transcription sub-network measures and sends the metering data to the error calculator" in step 202 in embodiment 1 is specifically implemented as follows:

the water meter, the gas meter and the heat meter in each multi-meter-in-one combination send the recorded metering data (including water energy, gas energy and heat energy) to the intelligent electric meter through a micropower data channel established with the intelligent electric meter; and the intelligent electric meter also records the electric energy data passing through the intelligent electric meter and completes the integration of the metering data of the four meters in the combination. And the intelligent electric meters in all the multi-meter unifications send the integrated metering data to the concentrator through carrier waves according to a preset mode, and finally the metering data are forwarded to the server by the concentrator. In this embodiment, the error calculator is specifically the server.

In this embodiment, it is preferable that a water meter, a gas meter, and a heat meter of the micropower wireless communication module are additionally installed to satisfy the meter metering function. The micropower wireless communication module adopts the national power grid enterprise standard- & lt & ltelectric power user and electric information acquisition system communication protocol: and the data transmission protocol based on micro-power wireless communication supports the interconnection and intercommunication of the power utilization information acquisition system in the national grid. The built-in battery is adopted for power supply, and the capacity of the battery is designed to meet the requirement that the module normally works for at least 5 years. The micro-power acquisition module in the water meter, the gas meter and the heat meter can acquire data information of the corresponding meter according to a set period (for example, 1 hour, 4 hours or 8 hours). A data transmission mode: micro-power modules in the water meter, the gas meter and the heat meter are automatically awakened according to a set period (8 hours) and data in the meters are collected; the electric energy meter uploads the received data to the concentrator through the PLC through the carrier/micropower dual-mode communication module; the acquisition mode of the power utilization information acquisition system is unchanged. Once the micro-power wireless modules in the water, gas and heat meters have faults, the specific fault information is actively reported. Failure problems include, but are not limited to: module hardware faults, meter metering faults, communication faults, abnormal problem alarms and the like.

Example 3:

the embodiment of the invention provides a system for calculating errors in a multi-table-in-one copying system, as shown in figure 4, the system comprises a server, a concentrator and at least one combination of multiple meters and one meter, wherein the combination of multiple meters and one meter consists of an intelligent electric meter, a water meter, a gas meter and a heat meter, but in the practical realization, the water meter, the gas meter and the heat meter in the combination of combining multiple meters into one meter are selectable, wherein, the intelligent electric meter in each combination of multi-meter and integration establishes a data link with the water meter, the gas meter and the heat meter through micropower, the intelligent electric meter in each multi-meter unification establishes a data link with the concentrator through micropower, the concentrator establishes a data link with the server through a wireless network, and the system further comprises a multi-table-in-one standard combination of known metering error values of all metering devices, specifically:

the standard multi-expression combination is connected to an energy monitoring network formed by at least one multi-expression combination in a parallel connection or serial connection mode to form a network of errors to be calculated; the network for calculating the error is divided into the following types according to the energy types: the system comprises an electric energy source type copying sub-network, a water energy type copying sub-network, a gas energy type copying sub-network and a heat energy type copying sub-network;

the intelligent electric meters in the standard combination of integrating multiple meters into one are provided with data links with the water meters, the gas meters and the heat meters through micropower, and the intelligent electric meters in the standard combination of integrating multiple meters into one are provided with data links with the concentrator through micropower.

the water meter, the gas meter and the heat meter in each multi-meter-in-one combination send the recorded metering data (including water energy, gas energy and heat energy) to the intelligent electric meter through a micropower data channel established with the intelligent electric meter; and the intelligent electric meter also records the electric energy data passing through the intelligent electric meter and completes the integration of the metering data of the four meters in the combination. And the intelligent electric meters in all the multi-meter unifications send the integrated metering data to the concentrator through micropower according to a preset mode, and finally the metering data is forwarded to the server by the concentrator. In this embodiment, the error calculator is specifically the server.

Wherein, the micropower wireless communication module in each metering device adopts the national power grid enterprise standard- "communication protocol of power consumer electricity consumption information acquisition system: and the data transmission protocol based on micro-power wireless communication supports the interconnection and intercommunication of the power utilization information acquisition system in the national grid. The working frequency is as follows: 471Mhz-486Mhz, 32 channel groups in total, and frequency planning is carried out on the uplink communication channel and the downlink communication channel according to a GFSK frequency modulation mode, so that collision and interference are avoided.

The preferable data transmission mode is as follows: micro-power modules in the water meter, the gas meter and the heat meter are automatically awakened according to a set period (for example, 1 hour, 4 hours or 8 hours), and data in the meters are collected; the electric energy meter uploads the received data to the concentrator through the micropower communication module; the acquisition mode of the power utilization information acquisition system is unchanged. In order to ensure the communication quality, the electric energy meter and the concentrator are communicated through a certain number of special channels. Once the micro-power wireless module in the water, heat and gas meter has a fault, the specific fault information is actively reported. Fault problems include, but are not limited to: module hardware faults, meter metering faults, communication faults, abnormal problem warning and the like.

Example 4:

the embodiment of the invention also provides a system for calculating errors in a multi-meter-in-one copying system, which comprises a server, a concentrator, a dual-mode collector and at least one multi-meter-in-one combination, wherein the multi-meter-in-one combination is composed of one or more of an intelligent electric meter, a water meter, a gas meter and a heat meter (assumed to be included in the embodiment), a data link is established between the water meter, the gas meter and the heat meter in each multi-meter-in-one combination and the dual-mode collector through micropower, a data link is established between the intelligent electric meter in each multi-meter-in-one combination and the dual-mode collector through RS-485, the concentrator establishes a data link with the server through a wireless network, and the system further comprises a multi-meter-in-one standard combination with known error values of each member meter (namely a metering device), specifically, the method comprises the following steps:

the multi-expression-in-one standard combination is connected to an energy monitoring network formed by at least one multi-expression-in-one in a parallel connection or serial connection mode to form a network of errors to be calculated; the network of calculation errors is divided into: the system comprises an electric energy source type copying sub-network, a water energy type copying sub-network, a gas energy type copying sub-network and a heat energy type copying sub-network;

the water meter, the gas meter and the heat meter in the standard combination with multiple meters in one establish a data link with the dual-mode collector through micropower, and the intelligent electric meter in the standard combination with multiple meters in one establishes a data link with the dual-mode collector through RS-485.

the water meter, the gas meter and the heat meter in each multi-meter-in-one combination send the recorded metering data (including water energy, gas energy and heat energy) to the double-mode collector through a micropower data channel established with the double-mode collector; the intelligent electric meter also records electric energy data passing through the intelligent electric meter, and reports the electric energy data through an RS-485 data channel established with the dual-mode collector. And the dual-mode collector integrates the metering data from each metering device and sends the data to the concentrator according to a preset mode, and the data are finally forwarded to the server by the concentrator. In this embodiment, the error calculator is specifically the server.

Example 5:

the embodiment of the invention also provides a system for calculating errors in a multi-meter-in-one reading system, as shown in fig. 6, the system comprises a server, a concentrator, a collector, and at least one multi-meter-in-one combination, the multi-meter-in-one combination is composed of one or more of an intelligent electric meter, a water meter, a gas meter and a heat meter (in the embodiment, all combinations are assumed to be included), wherein a data link is established between the water meter, the gas meter and the heat meter in each multi-meter-in-one combination and the collector through micropower, a data link is established between the intelligent electric meter and the concentrator through RS-485, the concentrator establishes a data link with the server through a wireless network, the system further comprises a standard multi-meter-in-one combination with known error values of each member meter (i.e. a metering device), specifically, the method comprises the following steps:

the multi-expression-in-one standard combination is connected to an energy monitoring network formed by at least one multi-expression-in-one in a parallel connection or serial connection mode to form a network of errors to be calculated; the network of the error to be calculated is divided into the following types according to the energy types: the system comprises an electric energy type copying sub-network, a water energy type copying sub-network, a gas energy type copying sub-network and a heat energy type copying sub-network;

the water meter, the gas meter and the heat meter in the standard combination with multiple meters integrated are provided with a data link through micropower and the collector, and the intelligent electric meter in the standard combination with multiple meters integrated is provided with a data link through RS-485 and the concentrator.

the water meter, the gas meter and the heat meter in each multi-meter-in-one combination transmit the recorded metering data (including water energy, gas energy and heat energy) to the collector through a micropower data channel established with the dual-mode collector; the intelligent electric meter also records the electric energy data passing through the intelligent electric meter, and reports the electric energy data through an RS-485 data channel established with the concentrator. And the collector sends the metering data from each metering device to the concentrator according to a preset mode, and the metering data is finally forwarded to the server by the concentrator.

Example 6:

the embodiment 1 of the invention provides a method for calculating errors in a multi-table-in-one copying system, and elaborately explains how to complete the total flow of reporting metering data based on different multi-table-in-one copying system architectures through embodiments 2 to 5. Next, the present embodiment will explain how to complete the arrangement of the standard error instruments and the error value calculation of the smart meter based on the electric energy data with the largest difference in processing manner among the four types of data. When the type of the sub-network is specifically an electric sub-network, the error standard device comprises an electric energy metering chip and a circuit thereof, a voltage sensor and a current sensor; wherein the electric energy metering chip and its circuit, voltage sensor and current sensor are shielded to influence/reduce the electromagnetic interference within a second preset threshold, for example: one-ten-thousandth, the measuring data of the line where the measuring device in each type of the sub-network is measured and sent to the error calculator specifically includes:

In the sub-network of the electrical transcription, the errors described in embodiments 1 to 5 are specifically represented as an overall error characteristic, where the overall error specifically includes: errors caused by the self-metering accuracy of the electric energy metering chip and the circuit thereof, the current transformer and the voltage transformer also comprise errors caused by influence factors; wherein, the error caused by the influence factor comprises: the error caused by the influence of the environment where the three parts are located and the error caused by the mutual interference among the three parts. Theoretically, the overall error of the smart meter is a real numerical value of the overall error of the whole smart meter after the influence of all known and unknown influencing factors is included. The whole error can only be measured actually in the prior art and cannot be calculated from errors of the electric energy meter and the sensor, and the invention provides a calculation method.

With reference to the embodiment of the present invention, the error normalizer involved in embodiment 1 for accessing at least one known metering error value in each type of sub-network for transcription is specifically implemented as follows:

With reference to the embodiment of the present invention, there is a preferred implementation scheme, where the smart meter measures and records respective power data, and the method specifically includes:

determining the load current segment to which the electric energy data belongs according to the measured electric energy data and the load current value; and searching the position corresponding to the load current segment in the storage area to finish recording and storing.

In the embodiment of the present invention and the preset manner described in embodiments 2 to 5, there is a preferable implementation scheme, which specifically includes:

setting each intelligent electric meter in the system to be tested to be segmented according to the designated time and the load current, measuring and recording respective electric energy data, classifying and storing according to the load current in a segmented manner, and sending the electric energy data to an error calculator; or the like, or a combination thereof,

and setting each intelligent electric meter in the system to be tested to measure and record respective electric energy data and current data according to the designated time, and sending the electric energy data and the current data to the error calculator for processing.

The sending to the error calculator may be implemented by forwarding through different data links based on the specific systems in embodiments 2 to 5, which are not described herein again.

Example 7:

in example 6, a method for calculating the overall error of each smart meter according to an error standard device (in this example, the overall error value of the meter is the metering error value of the metering device described in the above embodiments) accessing at least one known overall error value, and further according to the electric energy data recorded and reported by each smart meter in the electricity meter sub-network in a preset manner is described. To further enable those skilled in the art to understand how to calculate the overall error of each smart meter according to the received power data, the present embodiment provides a method for segment preprocessing according to the load current, as shown in fig. 7, including:

in step 301, the error calculator receives the electric energy data sent by the smart meter a, performs screening according to the electric energy data, and determines a load current segment to which the electric energy data belongs.

In the first mode, the load current segment where the electric energy data is located may be calibrated by the smart meter a when recording the electric energy data of the smart meter a. And when the electric energy data is sent to the error calculator, the sent message carries the load current segmentation information of the electric energy data.

In another mode, the message sent by the smart meter a does not carry load current segment information, that is, the smart meter a only sends the electric energy data to the error calculator, and the error calculator analyzes the load current segment where the electric energy data reported by the error calculator is located according to the corresponding smart meter.

In step 302, the power data is stored in a storage area identified by the smart meter a and corresponding to the load current segment.

The storage manner of the corresponding smart meter, the load current segments and the corresponding electric energy data in the error calculator is shown in fig. 8, wherein the electric energy data stored in each load current segment respectively stores the related information of the recording time (in fig. 8, the electric energy data is depicted as a whole block, and the corresponding relationship between the electric energy data and the time is not shown). Fig. 9 shows a format manner of combining reporting time and electric energy data storage in the load current segment 1. An example of storing data in a table form is also given in the present embodiment, as shown in fig. 10. The data structure relationships shown in fig. 8, 9 and 10 in embodiment 7 of the present invention are only examples, and the scope of the present invention also includes other forms of storage manners related to the load current segment, the recording time and the power data.

Example 8:

in embodiment 7, how the error calculator stores the electric energy data reported by the smart meters according to the relationship between the load current segments and the electric energy data is given, and next, this embodiment 8 focuses on a specific implementation manner for the error calculator in embodiment 6 to calculate the overall error of each smart meter according to the received electric energy data. In this embodiment, the overall error value of the electric meter, i.e. the measurement error value of the measurement device described in the above embodiments, as shown in fig. 11, includes the following steps:

in step 401, an equation set is constructed by combining the electric energy data recorded by the input node and the electric energy data recorded by the output node within a specified time with the error value variable of each under the load current segment and the corresponding line loss factor; the equation system comprises error value variables of the intelligent electric meters in the load current sections.

For example: assuming that the reading of the electric energy flowing through the i intelligent electric meter in the measurement time interval Ti is W_i，j(i is 0,1, …, k-1 is the serial number of the smart meter; j is 1,2, …, m is the j th load current segment), x_i，jFor the integral error of the ith intelligent electric meter in the jth current section, l_i，jA line loss weighted value (also called a line loss rate) of the ith smart meter in the jth current section; in addition, assuming that the No. 0 smart meter is an input node and the No. 1 to k-1 are output nodes, the following equation is satisfied (the equation is the equation of the unaccessed error standard device):

wherein the formula (1) has different modification modes according to different access modes of the error standard device.

Taking the line in which the error standard device is connected in series to any one smart meter in the electricity type reading subsystem in embodiment 6 as an example:

and if the error standard device is connected in series to a line where any intelligent electric meter in the electric type reading subsystem is located. The data reported by the error standard device is only required to replace the data of the intelligent electric meters connected in series and participate in the solution of the formula (1). And the error value of the intelligent electric meter connected in series with the intelligent electric meter can be directly solved by comparing the error standard device with the data of the intelligent electric meter. At this time, the formula (1) is modified as follows:

wherein the content of the first and second substances,

indicating that the error standard is connected in series under the 4 th intelligent electric meter and Y_4，jThe known integral error value of the standard error device under the j section current.

If the output nodes of the system to be measured of the error standard device are connected in parallel (namely connected in series to a new branch of the 0 th intelligent electric meter), an energy consumption end is additionally arranged for the error standard device. Then only the data reported by the error standard is added to the right side of the equation (1), and at this time, the equation (1) is modified as follows:

wherein, W_jIndicating the value of the electric energy in the j section of the corresponding current section, measured in the line connected in parallel by the error standard, and Y_jIs the overall error value of the known standard error device under the j section current, l_jThe line loss is weighted.

In the embodiment of the invention, if the transmission wire for connecting the standard error device is short enough and the resistivity is small enough, the wire loss weighted value generated by the transmission wire is negligible. Wherein, the line loss of the wire between the processing error standard and the 4 th smart meter has been ignored in equation 2; further, if this condition is satisfied, the line loss l in equation 3_jAnd are also negligible.

In step 402, setting a set of initial values for the overall error values of the smart meters in the power copying sub-network; under the condition, the error variable of one intelligent ammeter is selected in sequence, and the error variables of other intelligent ammeters are assigned with the set initial value, so that a one-time m-element function is obtained, wherein m is the number of load current segments of the currently selected intelligent ammeter.

For example: and if the error variable of the 0 th intelligent electric meter is solved in the selection in the current round, assigning the error variables of other intelligent electric meters by the initial values to obtain the following m-element functions (in step 401):

wherein, X_1，1，X_1，2，…，X_1，j；X_2，1，X_2，2，…，X_2，j；X_k-1，1，X_k-l，2，…，X_k-l，j(ii) a (j ═ m) is obtained from the set of initial values set.

In one round of optimization algorithm calculation, the method specifically comprises the following steps:

in step 4021, the error calculator obtains a first set of electric energy data W of each stored smart meter in the corresponding load current segment_i，j，i∈[0，k-1]，j∈[1，m]And the initial assignment (also called center assignment) of the error variable of the intelligent electric meter calculated in the first round is substituted into the function to solve to obtain a center value result;

in step 4022, the initial assignment of the error variable of the smart meter calculated in the first round is used as a center, the upstream assignment and the downstream assignment of the error variable are obtained by using a preset deviation value, and the error calculator obtains a second group of electric energy data W of each stored smart meter in the corresponding load current segment_i，j，i∈[0，k-1]，j∈ [1，m]Substituting the function to solve to obtain an upstream value result and a downstream value result;

in step 4023, the difference between the central value result and the upstream value result and the downstream value result is compared, the combination of [ downstream assignment, central assignment ] or [ central assignment, upstream assignment ] with a smaller difference in the first round of calculation is taken as the downstream assignment and the upstream assignment of the second round of calculation, and the intermediate value between the updated downstream assignment and the updated upstream assignment is taken as the central assignment of the second round of calculation.

In step 4024, center assignments are calculated based on the second round, and a third set of power data W_i，j，i∈[0，k-1]，j∈[1，m]And substituting the function to calculate to obtain the central value of the second round. Sequentially calculating according to the calculation mode of the steps 4023-4024 until the downstream assignment and the central assignment are carried out]Or [ central assignment, upstream assignment]And correspondingly, if the difference is smaller than a first preset threshold value, calculating the overall error value by taking the center assignment of the wheel as the current function.

In step 403, the overall error values of other smart meters are solved in sequence according to the methods of steps 4021-4024.

With reference to the solving method of this embodiment, other types of sub-networks for data collection can also be completed according to the process of

step

401 and 403, where the metering devices in the sub-networks for water collection, gas collection and heat collection do not have the characteristic of different metering error values obtained by current segmentation specific to the electric meter in the sub-network for data collection (that is, the number of the metering error values and the line loss factors to be solved in 1 metering device in the sub-network for water collection, gas collection and heat collection is 1 respectively), and the solving method is simpler and more convenient, and the solving of the metering error values of each water meter in the sub-network for water collection will be specifically described below.

Example 9:

in embodiment 8, a specific implementation manner is given with emphasis on the fact that the error calculator in embodiment 6 calculates the overall error of each smart meter according to the received power data. In this embodiment, how to complete the calculation of the metering error in the water meter will be described by using the sub-network for water meter reading, which specifically includes the following steps:

in step 501, a equation set is constructed by solving the water energy data recorded by the input node and the water energy data recorded by the output node, and corresponding line loss factors and bands for metering error variables in a specified time.

For example: assuming that the reading of the electric energy flowing through the i water meter in the measurement time interval Ti is W_i(i is 0,1, …, k-1 is water meter number), x_iFor the ith meter metering error variable,/_iA weighted value of the line loss for the ith meter (also referred to as the line loss rate); in addition, assuming that the No. 0 water meter is an input node and the No. 1 to k-1 are output nodes, the following equation is established (the equation is the equation of the unaccessed error standard):

W₀(1+X₀)＝W₁(1+X₁)(1+L₁)+W₂(1+X₂)(1+L₂)+W₃(1+ X₃)(1+L₃)+…+W_k-1(1+X_k-1)(1+L_k-1)； (5)

wherein, the formula 5 has different variation modes according to different access modes of the error standard device.

Taking the line where the error standard is connected in series to any water meter in the electric type meter reading subsystem in the embodiment 6 as an example:

and if the error standard device is connected in series to a line where any water meter in the electric type reading subsystem is located. The data reported by the error standard device is only required to replace the data of the water meters connected in series and participate in the solution of the formula 5. And the error value of the water meter connected in series with the error standard can be directly solved by comparing the data of the error standard and the data of the water meter. At this time, equation 5 is modified as:

W₀(1+X₀)＝W₁(1+X₁)(1+L₁)+W₂(1+X₂)(1+L₂)+W₃(1+ X₃)(1+L₃)+W₄(1+Y₄)(1+l₄)+…+W_k-1(1+X_k-1)(1+L_k-1)； (6)

wherein, W₄(1+Y₄)(1+l₄) Indicating error criteria connected in series below the 4 th meter, and Y₄Is the value of the metric error of a known standard error machine.

If the output nodes of the system to be measured of the error standard device are connected in parallel (namely connected in series to a new branch of the 0 th water meter), an energy consumption end is additionally arranged for the error standard device. Only the data reported by the error standard is added to the right side of the equation 5, and at this time, the equation 5 is modified as follows:

W₀(1+X₀)＝W₁(1+X₁)(1+L₁)+W₂(1+X₂)(1+L₂)+W₃(1+ X₃)(1+L₃)+…+W_k-1(1+X_k-1)(1+L_k-1)+W_x(1+Y_x)(1+l_x)； (7)

wherein, W_xIndicating the value of the electric energy in the j section of the corresponding current section, measured in the line connected in parallel by the error standard, and Y_xA value of a metric error of a known standard error machine,/_xThe line loss is weighted.

In the embodiment of the invention, if the transmission water pipe for connecting the standard error device is short enough and the pipe diameter is small enough, the wire loss weighted value generated by the transmission water pipe can be ignored. Wherein, the line loss of the wire between the process error standard and the 4 th water meter has been ignored in equation 6; further, the line loss l in equation 7 is provided that this condition is satisfied_jAnd are also negligible.

In step 502, a set of initial values is set for the metering error values of the water meters in the electrical sub-network; under the condition, the error variable of one water meter is selected in sequence, and the error variables of other water meters are assigned with the set initial value, so that a one-time m-element function is obtained, wherein m is the number of load current segments owned by the currently selected water meter.

For example: and if the error variable of the 0 th water meter is solved in the selection in the current round, the error variables of other water meters are assigned with the initial values to obtain the following linear m-element function (in step 401):

wherein, X₁，X₂，...，X_k-1(ii) a Is obtained from the set of initial values set.

in step 5021, the error calculator obtains a first set of stored electric energy data W of each water meter in the corresponding load current segment_i，i∈[0，k-1]And the initial assignment (also called center assignment) of the error variable of the water meter calculated in the first round is substituted into the function to be solved to obtain a center value result;

in step 5022, the initial assignment of the error variable of the water meters calculated in the first round is taken as a center, the upstream assignment and the downstream assignment of the error variable are obtained by a preset deviation value, and the error calculator obtains the second group of electric energy data W of the stored water meters in the corresponding load current segments_i，i∈[0，k-1]Substituting the function to solve to obtain an upstream value result and a downstream value result;

in step 5023, the difference between the central value result and the upstream value result and the downstream value result is compared respectively, a [ downstream assignment, central assignment ] combination or a [ central assignment, upstream assignment ] combination with a smaller difference in the first round of calculation is taken as the downstream assignment and the upstream assignment of the second round of calculation, and a middle value of the updated downstream assignment and the updated upstream assignment is taken as the central assignment of the second round of calculation.

In step 5024, the center assignment is calculated according to the second round, and the third set of electric energy data W_i，i∈[0，k-1]And substituting the function to calculate to obtain the central value of the second round. Sequentially calculating according to the calculation mode of the steps 4023-4024 until the downstream assignment and the central assignment are carried out]Or [ central assignment, upstream assignment]And correspondingly, when the difference is smaller than a first preset threshold value in the calculation result, the wheel center assignment is used as a measurement error value obtained by solving the current function.

In step 503, the metering error values of other water meters are sequentially solved according to the methods of

steps

4021 and 4024.

It should be noted that, for the information interaction, execution process, and other contents between the modules and units in the apparatus and system, the specific contents may refer to the description in the embodiment of the method of the present invention because the same concept is used as the embodiment of the processing method of the present invention, and are not described herein again.

Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of the embodiments may be performed by associated hardware as instructed by a program, which may be stored in a computer-readable storage medium, which may include: a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic or optical disk, or the like.

The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.

Claims

1. A method for calculating errors in a multi-meter-in-one transcription system is characterized in that an error standard device with known metering error value is accessed into each type of transcription sub-network, wherein the transcription sub-network comprises: the error standard device with known metering error values accessed in the corresponding type of sub-network can be specifically divided into an ammeter-error standard device, a water meter-error standard device, a gas meter-error standard device and a heat meter-error standard device, and specifically:

the error calculator establishes an equation set according to the equivalent relation in each type of the transcription sub-network and the received metering data in different time periods; the equal relation is that the sum of the metering data measured by the input nodes of the copying sub-networks of various types is equal to the sum of the metering data measured by the output nodes after the metering data weights the transmission loss factors of the output nodes; when the error normalizers and the metering devices of various types are accessed into the corresponding sub-networks of various types of copying, the error normalizers and the metering devices of various types are respectively used as a member of an input node or a member of an output node in the sub-networks of various types of copying;

solving the equation set to obtain the metering error value of the metering device on each node in the sub-network;

wherein, to the calculation of the metering error in the water gauge, specifically include:

solving the water energy data recorded by the input node and the water energy data recorded by the output node in a specified time, corresponding line loss factors and corresponding band solution metering error variables to construct an equation set;

setting a group of initial values for the metering error values of the water meters in the water copying sub-network; under the condition, sequentially selecting the error variable of one water meter, and assigning the error variables of other water meters according to the set initial value to obtain a one-time m-element function, wherein m is the number of load water flow segments owned by the currently selected water meter;

and sequentially solving the metering error values of other water meters according to the following steps 1 to 4, wherein the steps 1 to 4 comprise:

step 1: the error calculator obtains the initial assignment, namely the center assignment, of the first group of water energy data of each stored water meter in the corresponding load water flow section and the error variable of the water meter calculated in the first round, and the initial assignment is substituted into the function to be solved to obtain a center value result;

step 2: taking the initial assignment of the error variable of the water meters calculated in the first round as a center, and acquiring the upstream assignment and the downstream assignment of the error variable by using a preset deviation value, and acquiring a second group of water energy data of each stored water meter in a corresponding load water flow segment by using an error calculator, and substituting the second group of water energy data into the function to solve to obtain an upstream value result and a downstream value result;

and step 3: respectively comparing the difference between the central value result and the upstream value result and the downstream value result, taking a [ downstream assignment, central assignment ] combination or a [ central assignment, upstream assignment ] combination with smaller difference in the first round of calculation as the downstream assignment and the upstream assignment of the second round of calculation, and taking the intermediate value of the updated downstream assignment and the updated upstream assignment as the central assignment of the second round of calculation;

and 4, step 4: calculating according to the center assignment of the second round of calculation and the function carried in by the third group of water energy data to obtain the center value of the second round of calculation; and sequentially calculating according to the calculation modes of the steps 3 to 4 until the difference between the calculation results corresponding to the downstream assignment and the center assignment or the calculation results corresponding to the upstream assignment and the center assignment is smaller than a first preset threshold value, and taking the round center assignment as a measurement error value obtained by solving the current function.

2. The method of error calculation according to claim 1, wherein the sub-transcribing network is specifically:

the input node and the output node are directly connected, wherein energy passing through the input node is transmitted to an energy consumption end through the output node after line loss; wherein the energy source comprises: electrical, hydraulic, pneumatic and/or thermal energy.

3. The method of error calculation of claim 1, wherein for the sub-network type of transcription, in particular, sub-network of electrical transcription, the error normalizer comprises an electrical energy metering chip and its circuitry, a voltage sensor and a current sensor; the step of sending the measurement data of the line on which the measurement device in each type of the sub-network is located to the error calculator specifically includes:

4. The method according to claim 3, wherein the accessing of the error normalizer for at least one known metrology error value in each type of sub-network comprises:

connecting the error standard device in series to a line where any intelligent electric meter in the electric type copying sub-network is located; alternatively, the first and second electrodes may be,

and connecting the error standard device and an output node of the system to be measured in parallel, and adding an energy consumption end for the error standard device.

5. The method of error calculation according to claim 3, wherein the measuring and recording of the respective electrical energy data specifically comprises:

6. The method of error calculation according to claim 3, wherein the predetermined manner specifically includes: