CN115932711B - Data processing method, device and medium for metering reliability of electric energy meter - Google Patents
Data processing method, device and medium for metering reliability of electric energy meter Download PDFInfo
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Abstract
The invention provides a data processing method, a device and a medium for metering reliability of an electric energy meter. Belonging to the technical field of electric energy meters and big data, the method comprises the following steps: acquiring power pulse information of the electric energy meter and data information of the electric energy meter, processing to obtain first electricity data and pulse quantity data of the electric energy meter, performing error fluctuation identification according to second power pulse information to obtain pulse frequency fluctuation factors, correcting the pulse quantity data according to the pulse frequency fluctuation factors to obtain corrected pulse quantity data, calculating to obtain second electricity data, performing error data processing on the first electricity data and the second electricity data, and comparing and judging the credibility of the electric energy meter by a threshold value; therefore, the metering reliability of the electric energy meter is evaluated according to the big data technology of the electric energy meter, intelligent judgment of metering data of the electric energy meter is achieved, and intelligent identification of metering reliability of the electric energy meter is improved.
Description
Technical Field
The application relates to the technical field of intelligent electric meters and big data processing, in particular to a data processing method, device and medium for metering reliability of an electric energy meter.
Background
At present, when the intelligent ammeter is used for metering and checking in the market, manual checking or remote monitoring of ammeter data is usually adopted for community data comparison or approximate estimation, which leads to the possibility of degree errors caused by disqualification of metering, so that a user pays more or leaks to pay electricity fees, use holes exist, metering reliability is insufficient, therefore, the ammeter is required to be effectively and reliably metered, intelligent, accurate and simple metering is realized, data can be remotely acquired through design, and accurate, reliable and intelligent metering of the ammeter is obtained through database processing data, so that metering reliability of the ammeter is improved.
In view of the above problems, an effective technical solution is currently needed.
Disclosure of Invention
The invention aims to provide a data processing method, a device and a medium for measuring reliability of an electric energy meter, which can evaluate the measuring reliability of the electric energy meter according to a big data technology of the electric energy meter, realize intelligent judgment of measuring data of the electric energy meter and improve intelligent identification of the measuring reliability of the electric energy meter.
The invention also provides a data processing method of the metering reliability of the electric energy meter, which comprises the following steps:
collecting power pulse information and electric energy meter data information of an electric energy meter in a preset metering time period;
the power pulse information comprises output pulse data, pulse frequency data and load power data, and the electric energy meter data information comprises electric energy meter constant coefficients and electric energy meter characterization data;
obtaining first electricity data of the electric energy meter according to the electric energy meter characterization data;
according to the output pulse data, the pulse frequency data and the load power data, the pulse quantity data is obtained by combining the constant coefficient processing of the electric energy meter;
performing error fluctuation identification according to second power pulse information of the electric energy meter in a second period time to obtain a pulse frequency fluctuation factor;
correcting the pulse quantity data according to the pulse frequency fluctuation factor to obtain corrected pulse quantity data;
calculating to obtain second electricity consumption data according to the corrected pulse quantity data;
and performing error data processing according to the first electricity data and the second electricity data, and comparing the threshold value by combining a preset metering error threshold value of the electric energy meter, so as to judge the credibility of the metering data of the electric energy meter.
Optionally, in the method for processing data of metering reliability of an electric energy meter according to the present invention, the obtaining the first electric data of the electric energy meter according to the characterization data of the electric energy meter includes:
respectively acquiring electric energy meter characterization data of a starting time node and a cut-off time node of the preset metering time period;
and obtaining first electric data according to the difference value of the electric energy meter representation data of the starting time node and the cut-off time node.
Optionally, in the method for processing data of metering reliability of an electric energy meter according to the present invention, the obtaining pulse quantity data according to the output pulse data, pulse frequency data, load power data and electric energy meter constant coefficient processing includes:
respectively obtaining pulse average frequency data and load average power data in the preset metering time period according to the pulse frequency data and the load power data;
the pulse average frequency data and the load average power data are combined with the output pulse data and the constant coefficient of the electric energy meter to be input into an electric energy meter metering model for processing to obtain pulse quantity data;
the program formula for obtaining pulse quantity data by processing the electric energy meter metering model is as follows:
wherein,,
for pulse quantity data, +.>
For pulse average frequency data, +.>
For load average power data +.>
For outputting pulse data->
Is a constant coefficient of the electric energy meter, < >>
、/>
、/>
Is a preset metering coefficient.
Optionally, in the method for processing data of metering reliability of an electric energy meter according to the present invention, performing error transaction identification according to second power pulse information of the electric energy meter in a second period of time to obtain a pulse frequency transaction factor includes:
acquiring second power pulse information of a plurality of time nodes of the electric energy meter in a second period time;
calculating according to the second power pulse information and combining a preset error fluctuation factor of the electric energy meter to obtain a pulse frequency fluctuation factor;
the calculation method of the pulse frequency fluctuation factor comprises the following steps:
wherein,,
is pulse frequency fluctuation factor, +.>
The ith output pulse data for n time nodes of the second period,/th output pulse data for n time nodes of the second period>
The ith pulse frequency data for n time nodes of the second period,/th pulse frequency data for n time nodes of the second period>
The ith load power data for n time nodes of the second period, n being n time nodes in the second period, +.>
Is an error fluctuation factor.
Optionally, in the method for processing data of metering reliability of an electric energy meter according to the present invention, the correcting the pulse quantity data according to the pulse frequency fluctuation factor to obtain corrected pulse quantity data, and calculating according to the corrected pulse quantity data to obtain second electricity consumption data includes:
correcting the pulse quantity data according to the pulse frequency fluctuation factor to obtain corrected pulse quantity data, wherein the calculation formula of the corrected pulse quantity data is as follows:
wherein->
To correct the pulse quantity data;
and inputting the corrected pulse quantity data into an electric energy meter metering model to calculate and obtain second electricity consumption data, wherein a calculation formula of the second electricity consumption data is as follows:
wherein->
For the second electricity consumption data,/>
is a preset coefficient.
Optionally, in the method for processing data of metering reliability of an electric energy meter according to the present invention, the processing error data according to the first electricity data and the second electricity data, and comparing threshold values with a preset metering error threshold value of the electric energy meter, and judging the reliability of metering data of the electric energy meter includes:
performing error data processing according to the first electricity data and the second electricity data to obtain metering error data, specifically
Wherein G is the metering error data, +.>
Is first electrical data;
threshold value comparison is carried out according to the metering error data and a preset metering error threshold value of the electric energy meter;
and if the metering error data meets the threshold comparison requirement, the electric energy meter is credible.
In a second aspect, the present invention further provides a data processing device for measuring reliability of an electric energy meter, where the device is applied to the electric energy meter, and implements a data processing method for measuring reliability of the electric energy meter, and the device includes:
the first acquisition module is used for respectively acquiring electric energy meter data information of a starting time node and a cut-off time node of a preset metering time period;
the second acquisition module is used for acquiring power pulse information;
the processing module is used for carrying out data processing according to the acquired data information and power pulse information of the electric energy meter to obtain first electricity data and second electricity data;
and the judging and evaluating module is used for evaluating the credibility of the electric energy meter according to the first electricity data and the second electricity data.
Optionally, in the data processing device for measuring reliability of the electric energy meter disclosed by the invention, the processing module is used for:
obtaining first electric data according to electric energy meter characterization data processing of the power pulse information;
obtaining a pulse frequency fluctuation factor according to the power pulse information processing of the second period time period;
and processing and obtaining second electricity utilization data according to the output pulse data, pulse frequency data and load power data of the power pulse information, the constant coefficient of the electric energy meter combined with the data information of the electric energy meter, and the pulse frequency fluctuation factor.
In a third aspect, the present invention further provides an electronic device, including: processing equipment, a storage device, an input device, an output device and a bus system;
the storage means has stored thereon a computer program which, when run by a processor of the processing device, performs the data processing method of electric energy meter metering reliability according to any of the preceding embodiments for data processing of metering reliability.
In a fourth aspect, the present invention further provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor performs the steps of the data processing method for measuring reliability of an electric energy meter according to any one of the foregoing embodiments.
As can be seen from the above, the data processing method, the device and the medium for measuring reliability of the electric energy meter provided by the invention acquire the power pulse information and the data information of the electric energy meter, process the power pulse information and the data information of the electric energy meter to obtain the first electric data and the pulse quantity data of the electric energy meter, then perform error transaction identification according to the second power pulse information to obtain a pulse frequency transaction factor, correct the pulse quantity data according to the pulse frequency transaction factor to obtain corrected pulse quantity data, calculate to obtain the second electric data, perform error data processing on the first electric data and the second electric data, and compare and judge the reliability of the electric energy meter by threshold; therefore, the metering reliability of the electric energy meter is evaluated according to the big data technology of the electric energy meter, intelligent judgment of metering data of the electric energy meter is achieved, and intelligent identification of metering reliability of the electric energy meter is improved.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the technical solutions of the invention of the present application, the following brief description will be given of the drawings required for the invention of the present application, it being understood that the following drawings illustrate only some embodiments of the present application and are therefore not to be considered limiting of scope, and that other relevant drawings may be obtained from these drawings without the benefit of the inventive effort to a person of ordinary skill in the art.
Fig. 1 is a flowchart of a data processing method of metering reliability of an electric energy meter according to an embodiment of the present application;
fig. 2 is a flowchart of obtaining first electrical data of an electric energy meter according to a data processing method of measuring reliability of the electric energy meter provided in an embodiment of the present application;
fig. 3 is a schematic structural diagram of a data processing device for measuring reliability of an electric energy meter according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to a data processing method for processing metering reliability of an electric energy meter according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, are intended to be within the scope of the present application.
It should be noted that like reference numerals and letters refer to like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.
Referring to fig. 1, fig. 1 is a flowchart of a data processing method for measuring reliability of an electric energy meter according to some embodiments of the present application. The data processing method of the metering reliability of the electric energy meter is used in terminal equipment, such as a computer, a mobile phone terminal and the like. The data processing method for the metering reliability of the electric energy meter comprises the following steps:
s101, collecting power pulse information and electric energy meter data information of an electric energy meter in a preset metering time period;
s102, the power pulse information comprises output pulse data, pulse frequency data and load power data, and the electric energy meter data information comprises electric energy meter constant coefficients and electric energy meter characterization data;
s103, obtaining first electricity data of the electric energy meter according to the electric energy meter characterization data;
s104, processing according to the output pulse data, the pulse frequency data and the load power data and the constant coefficient of the electric energy meter to obtain pulse quantity data;
s105, performing error fluctuation identification according to second power pulse information of the electric energy meter in a second period of time to obtain a pulse frequency fluctuation factor;
s106, correcting the pulse quantity data according to the pulse frequency fluctuation factor to obtain corrected pulse quantity data;
s107, calculating and obtaining second electricity utilization data according to the corrected pulse quantity data;
s108, performing error data processing according to the first electricity data and the second electricity data, and comparing threshold values by combining with a preset metering error threshold value of the electric energy meter to judge the credibility of metering data of the electric energy meter.
It should be noted that, in order to determine the measurement reliability of the electric energy meter, the difference value is calculated according to the characterization data of the start time node and the stop time node in a certain period of time to obtain first electric data, then the data is processed and error factors are obtained according to the obtained power pulse information and the data extracted by combining the data information of the electric energy meter, the data is corrected and calculated according to the factors to obtain second electric data, the error data is processed on the first electric data and the second electric data, and the measurement error threshold value of the preset electric energy meter is combined to perform threshold value comparison, so that the reliability of the electric energy meter is determined, and the intelligent determination technology of measuring the data of the electric energy meter by a big data technology is realized, thereby improving the intelligent identification of the measurement reliability of the electric energy meter.
Referring to fig. 2, fig. 2 is a flowchart of a method for obtaining first electrical data of an electric energy meter according to a data processing method of measuring reliability of the electric energy meter in some embodiments of the present application. According to the embodiment of the invention, the first electricity data of the electric energy meter is obtained according to the electric energy meter characterization data, specifically:
s201, respectively acquiring electric energy meter characterization data of a starting time node and a cut-off time node of the preset metering time period;
s202, obtaining first electric data according to the difference value of the electric energy meter representation data of the starting time node and the cut-off time node.
It should be noted that, collecting electric energy meter characterization data corresponding to a start time node and a stop time node of the electric energy meter in a preset metering time period, and performing difference on the two corresponding electric energy meter characterization data to obtain a difference value, namely first electric data, which is generally and directly readable data, wherein the electric energy meter characterization data is an electric energy meter indication reading read through a reading path such as an electric energy meter diagram, a chart or a reading.
According to the embodiment of the invention, the pulse quantity data is obtained according to the output pulse data, the pulse frequency data and the load power data combined with the constant coefficient processing of the electric energy meter, specifically:
respectively obtaining pulse average frequency data and load average power data in the preset metering time period according to the pulse frequency data and the load power data;
the pulse average frequency data and the load average power data are combined with the output pulse data and the constant coefficient of the electric energy meter to be input into an electric energy meter metering model for processing to obtain pulse quantity data;
the program formula for obtaining pulse quantity data by processing the electric energy meter metering model is as follows:
wherein,,
for pulse quantity data, +.>
For pulse average frequency data, +.>
For load average power data +.>
For outputting pulse data->
Is a constant coefficient of the electric energy meter, < >>
、/>
、/>
Is a preset metering coefficient.
The obtained power pulse information includes output pulse data, pulse frequency data and load power data, the pulse frequency data and the load power data in a preset metering time period are variable data, so that the pulse average frequency data and the load average power data in the time period are obtained first, then the output pulse data are combined according to the pulse average frequency data and the load average power data, and the electric energy meter constant coefficient obtained through the electric energy meter data information is input into an electric energy meter metering model to be processed to obtain pulse data, the electric energy meter metering model is a preset calculation program model of the electric energy meter pulse data, and the pulse data calculated by the model reflect characteristic values of pulse signal data of the electric energy meter.
According to the embodiment of the invention, the pulse frequency fluctuation factor is obtained by performing error fluctuation identification according to the second power pulse information of the electric energy meter in the second period time, and is specifically:
acquiring second power pulse information of a plurality of time nodes of the electric energy meter in a second period time;
calculating according to the second power pulse information and combining a preset error fluctuation factor of the electric energy meter to obtain a pulse frequency fluctuation factor;
the calculation method of the pulse frequency fluctuation factor comprises the following steps:
wherein,,
is pulse frequency fluctuation factor, +.>
The ith output pulse data for n time nodes of the second period,/th output pulse data for n time nodes of the second period>
The ith pulse frequency data for n time nodes of the second period,/th pulse frequency data for n time nodes of the second period>
The ith load power data for n time nodes of the second period, n being n time nodes in the second period, +.>
Is an error fluctuation factor.
It should be noted that, for accurately evaluating the pulse characteristic value of the electric energy meter, the abnormal quantity of the electric energy meter needs to be fused, that is, the abnormal quantity of the electric energy meter is reflected by capturing the pulse frequency abnormal factor of the electric energy meter, and the data of the electric energy meter is corrected by the factor to obtain an accurately calculated characteristic value, where the pulse frequency abnormal factor is obtained by calculating and processing according to the second power pulse information of a plurality of time nodes in a second period of the electric energy meter and in combination with a preset error abnormal factor, the second period is a preset sampling period, the preset error abnormal factor is a preset parameter set according to the manufacturing factory attribute of the electric energy meter, and the pulse frequency abnormal factor reflects the pulse frequency abnormal parameter of the electric energy meter in a random period, so as to play a role of correcting the data accuracy of the electric energy meter for evaluating.
According to an embodiment of the present invention, the pulse quantity data is corrected according to the pulse frequency fluctuation factor to obtain corrected pulse quantity data, and the second electricity consumption data is calculated according to the corrected pulse quantity data, specifically:
correcting the pulse quantity data according to the pulse frequency fluctuation factor to obtain corrected pulse quantity data, wherein the calculation formula of the corrected pulse quantity data is as follows:
wherein->
To correct the pulse quantity data;
and inputting the corrected pulse quantity data into an electric energy meter metering model to calculate and obtain second electricity consumption data, wherein a calculation formula of the second electricity consumption data is as follows:
wherein->
For the second electricity consumption data, < >>
Is a preset coefficient.
The method includes the steps of correcting pulse quantity data according to obtained pulse frequency fluctuation factors to obtain corrected pulse quantity data, correcting the corrected pulse quantity data by factors to be more accurate, inputting the corrected pulse quantity data into an electric energy meter metering model according to the corrected pulse quantity data to calculate to obtain second electricity consumption data, and processing the electric energy meter metering model according to the corrected pulse quantity data and combining preset coefficients and constants to obtain a program model of the electricity consumption data.
According to the embodiment of the invention, the error data processing is performed according to the first electricity data and the second electricity data, and the threshold comparison is performed by combining with a preset metering error threshold of the electric energy meter, so as to judge the credibility of the metering data of the electric energy meter, specifically:
performing error data processing according to the first electricity data and the second electricity data to obtain metering error data, specifically
Wherein G is the metering error data, +.>
Is first electrical data;
threshold value comparison is carried out according to the metering error data and a preset metering error threshold value of the electric energy meter;
and if the metering error data meets the threshold comparison requirement, the electric energy meter is credible.
It should be noted that, error rate calculation is performed through the obtained first electricity data and the second electricity data, so as to obtain metering error data, the error data reflects the reading metering error degree of the electric energy meter, threshold comparison is performed according to the metering error data and a preset metering error threshold of the electric energy meter, if the metering error data meets the threshold comparison requirement of the preset metering error threshold, metering of the electric energy meter is reliable, and in the scheme, the metering error data needs to meet more than 90% of the metering error threshold of the preset electric energy meter.
As shown in fig. 3, the invention also discloses a data processing device of the metering reliability of the electric energy meter, the device is applied to the electric energy meter, and the data processing method of the metering reliability of the electric energy meter is realized, and the device comprises:
the first acquisition module 31 is configured to acquire electric energy meter data information of a start time node and a stop time node of a preset metering time period respectively;
a second acquisition module 32 for acquiring power pulse information;
the processing module 33 is configured to perform data processing according to the collected electric energy meter data information and power pulse information, so as to obtain first electricity data and second electricity data;
and the judging and evaluating module 34 is used for evaluating the credibility of the electric energy meter according to the first electricity data and the second electricity data.
The data processing device of the metering reliability of the electric energy meter acquires data information and acquired power pulse information through a first acquisition module and a second acquisition module, the processing module carries out data processing on the acquired data information and the acquired power pulse information of the electric energy meter to acquire first electricity data and second electricity data, and then the judgment evaluation module carries out the metering reliability evaluation of the electric energy meter according to the first electricity data and the second electricity data to realize the metering reliability evaluation of the electric energy meter.
According to an embodiment of the present invention, the processing module 33 is configured to:
obtaining first electric data according to electric energy meter characterization data processing of the power pulse information;
obtaining a pulse frequency fluctuation factor according to the power pulse information processing of the second period time period;
and processing and obtaining second electricity utilization data according to the output pulse data, pulse frequency data and load power data of the power pulse information, the constant coefficient of the electric energy meter combined with the data information of the electric energy meter, and the pulse frequency fluctuation factor.
It should be noted that, according to the difference value of the characterization data of the initial node in a certain period of time, the first electricity data is obtained, then the data processing and error factor obtaining are performed according to the obtained power pulse information and the data extracted by combining the data information of the electric energy meter, the second electricity data is obtained by correcting and calculating the data according to the factor, the error data processing is performed on the first electricity data and the second electricity data, the threshold value comparison is performed by combining the measurement error threshold value of the preset electric energy meter, and the credibility of the electric energy meter is judged.
As shown in fig. 4, the present invention also discloses an electronic device, including:
one or more processing devices 102, one or more storage devices 104, an input device 106, and an output device 108, and a bus system 112;
the storage device stores a computer program which, when executed by a processor of the processing device, performs the data processing method of electric energy meter metering reliability according to any one of the above, for data processing of metering reliability.
It should be noted that the devices are interconnected by a bus system 112 and/or other forms of connection mechanisms (not shown). It should be noted that the components and structures of the electronic device 100 shown in fig. 4 are exemplary only and not limiting, as the electronic device may have other components and structures as desired.
The processing device 102 may be a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may control other components in the electronic device 100 to perform desired functions.
The storage 104 may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. Volatile memory can include, for example, random Access Memory (RAM) and/or cache memory (cache) and the like. The non-volatile memory may include, for example, read Only Memory (ROM), hard disk, flash memory, and the like. One or more computer program instructions may be stored on a computer readable storage medium and the processing device 102 may execute the program instructions to implement client functions (implemented by a processor) and/or other desired functions in embodiments of the present invention described below. Various applications and various data, such as various data used and/or generated by the applications, may also be stored in the computer readable storage medium.
The input device 106 may be a device used by a user to input instructions and may include one or more of a keyboard, mouse, microphone, touch screen, and the like.
The output device 108 may output various information (e.g., images or sounds) to the outside (e.g., a user), and may include one or more of a display, a speaker, and the like.
The invention also provides a computer readable storage medium, which comprises a data processing method program of the metering reliability of the electric energy meter, and when the data processing method program of the metering reliability of the electric energy meter is executed by a processor, the steps of the data processing method of the metering reliability of the electric energy meter are realized.
The invention discloses a data processing method, a device and a medium for measuring reliability of an electric energy meter, wherein first electricity data and pulse quantity data of the electric energy meter are obtained by collecting power pulse information of the electric energy meter and processing data information of the electric energy meter, then error fluctuation identification is carried out according to second power pulse information to obtain pulse frequency fluctuation factors, the pulse quantity data are corrected according to the pulse frequency fluctuation factors to obtain corrected pulse quantity data, second electricity data are obtained by calculation, and error data processing and threshold comparison are carried out on the first electricity data and the second electricity data to judge the reliability of the electric energy meter; therefore, the metering reliability of the electric energy meter is evaluated according to the big data technology of the electric energy meter, intelligent judgment of metering data of the electric energy meter is achieved, and intelligent identification of metering reliability of the electric energy meter is improved.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.
Alternatively, the above-described integrated units of the present invention may be stored in a readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solution of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
Claims (6)
1. The data processing method for the metering reliability of the electric energy meter is characterized by comprising the following steps of:
collecting power pulse information and electric energy meter data information of an electric energy meter in a preset metering time period;
the power pulse information comprises output pulse data, pulse frequency data and load power data, and the electric energy meter data information comprises electric energy meter constant coefficients and electric energy meter characterization data;
obtaining first electricity data of the electric energy meter according to the electric energy meter characterization data;
according to the output pulse data, the pulse frequency data and the load power data, the pulse quantity data is obtained by combining the constant coefficient processing of the electric energy meter;
performing error fluctuation identification according to second power pulse information of the electric energy meter in a second period time to obtain a pulse frequency fluctuation factor;
correcting the pulse quantity data according to the pulse frequency fluctuation factor to obtain corrected pulse quantity data;
calculating to obtain second electricity consumption data according to the corrected pulse quantity data;
performing error data processing according to the first electricity data and the second electricity data, and comparing threshold values by combining with a preset metering error threshold value of the electric energy meter to judge the credibility of metering data of the electric energy meter;
the pulse quantity data is obtained according to the output pulse data, the pulse frequency data and the load power data combined with the constant coefficient processing of the electric energy meter, and the method comprises the following steps:
respectively obtaining pulse average frequency data and load average power data in the preset metering time period according to the pulse frequency data and the load power data;
the pulse average frequency data and the load average power data are combined with the output pulse data and the constant coefficient of the electric energy meter to be input into an electric energy meter metering model for processing to obtain pulse quantity data;
the program formula for obtaining pulse quantity data by processing the electric energy meter metering model is as follows:
wherein,,
for pulse quantity data, +.>
For pulse average frequency data, +.>
For load average power data +.>
For outputting pulse data->
Is a constant coefficient of the electric energy meter, < >>
、/>
、/>
Is a preset metering coefficient;
performing error fluctuation identification according to second power pulse information of the electric energy meter in a second period time to obtain a pulse frequency fluctuation factor, including:
acquiring second power pulse information of a plurality of time nodes of the electric energy meter in a second period time;
calculating according to the second power pulse information and combining a preset error fluctuation factor of the electric energy meter to obtain a pulse frequency fluctuation factor;
the calculation method of the pulse frequency fluctuation factor comprises the following steps:
wherein,,
is pulse frequency fluctuation factor, +.>
The i-th output pulse data for the n time nodes of the second period,
the ith pulse frequency data for n time nodes of the second period,/th pulse frequency data for n time nodes of the second period>
The ith load power data for n time nodes of the second period, n being n time nodes in the second period, +.>
Is an error fluctuation factor;
the step of correcting the pulse quantity data according to the pulse frequency fluctuation factor to obtain corrected pulse quantity data, and calculating according to the corrected pulse quantity data to obtain second electricity consumption data comprises the following steps:
based on the pulseThe impulse frequency fluctuation factor corrects the impulse quantity data to obtain corrected impulse quantity data, and the calculation formula of the corrected impulse quantity data is as follows:
wherein->
To correct the pulse quantity data;
and inputting the corrected pulse quantity data into an electric energy meter metering model to calculate and obtain second electricity consumption data, wherein a calculation formula of the second electricity consumption data is as follows:
wherein->
For the second electricity consumption data, < >>
Is a preset coefficient;
the error data processing is performed according to the first electricity data and the second electricity data, and the threshold comparison is performed by combining with a preset metering error threshold of the electric energy meter, so as to judge the credibility of the metering data of the electric energy meter, including:
performing error data processing according to the first electricity data and the second electricity data to obtain metering error data, specifically
Wherein G is the metering error data, +.>
Is first electrical data;
threshold value comparison is carried out according to the metering error data and a preset metering error threshold value of the electric energy meter;
and if the metering error data meets the threshold comparison requirement, the electric energy meter is credible.
2. The method for processing the data of the metering reliability of the electric energy meter according to claim 1, wherein the obtaining the first electric data of the electric energy meter according to the electric energy meter characterization data comprises the following steps:
respectively acquiring electric energy meter characterization data of a starting time node and a cut-off time node of the preset metering time period;
and obtaining first electric data according to the difference value of the electric energy meter representation data of the starting time node and the cut-off time node.
3. A data processing device for measuring reliability of an electric energy meter, wherein the device is applied to the electric energy meter, and realizes the data processing method for measuring reliability of the electric energy meter according to any one of claims 1 to 2, and the device comprises:
the first acquisition module is used for respectively acquiring electric energy meter data information of a starting time node and a cut-off time node of a preset metering time period;
the second acquisition module is used for acquiring power pulse information;
the processing module is used for carrying out data processing according to the acquired data information and power pulse information of the electric energy meter to obtain first electricity data and second electricity data;
and the judging and evaluating module is used for evaluating the credibility of the electric energy meter according to the first electricity data and the second electricity data.
4. A data processing device for metering reliability of an electric energy meter according to claim 3, wherein the processing module is configured to:
obtaining first electric data according to electric energy meter characterization data processing of the power pulse information;
obtaining a pulse frequency fluctuation factor according to the power pulse information processing of the second period time period;
and processing and obtaining second electricity utilization data according to the output pulse data, pulse frequency data and load power data of the power pulse information, the constant coefficient of the electric energy meter combined with the data information of the electric energy meter, and the pulse frequency fluctuation factor.
5. An electronic device, comprising: processing equipment, a storage device, an input device, an output device and a bus system;
the storage means has stored thereon a computer program which, when run by a processor of the processing device, performs the data processing method of metering reliability of an electric energy meter according to any one of claims 1 to 2 for data processing of metering reliability.
6. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, performs the steps of the data processing method of the metering reliability of an electric energy meter according to any one of the preceding claims 1 to 2.
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Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4697182A (en) * | 1985-09-16 | 1987-09-29 | Sangamo Weston, Inc. | Method of and system for accumulating verifiable energy demand data from remote electricity meters |
| EP1278073A1 (en) * | 2001-07-20 | 2003-01-22 | ENSECO GmbH | Device for measuring the electrical current flowing through at least an electrical conductor and method for error correction in such a device |
| CN103149430A (en) * | 2013-02-06 | 2013-06-12 | 陕西富集电力科技股份有限公司 | Electric energy pulse implementing method of electric energy meter |
| WO2014114150A1 (en) * | 2013-01-22 | 2014-07-31 | 国家电网公司 | Method for checking electric energy sequence proportion distribution in dynamic measurement cycle of electric energy meter |
| WO2015044715A1 (en) * | 2013-09-27 | 2015-04-02 | Freescale Semiconductor, Inc. | Low jitter pulse output for power meter |
| CN105573106A (en) * | 2014-10-08 | 2016-05-11 | 无锡华润矽科微电子有限公司 | Smart meter RTC timing precision correction circuit and method thereof |
| CN107607811A (en) * | 2017-09-06 | 2018-01-19 | 国网山东省电力公司桓台县供电公司 | A kind of analysis system of electricity quality evaluation and on-line early warning |
| CN113433509A (en) * | 2021-07-02 | 2021-09-24 | 威胜集团有限公司 | Calibration method of metering ammeter, electric energy meter and storage medium |
| CN114047472A (en) * | 2021-12-22 | 2022-02-15 | 安徽南瑞中天电力电子有限公司 | Metering error monitoring system of intelligent electric meter and monitoring method and device thereof |
| CN114062997A (en) * | 2021-11-05 | 2022-02-18 | 中国南方电网有限责任公司超高压输电公司广州局 | Method, system and device for checking electric energy meter |
| WO2022077228A1 (en) * | 2020-10-13 | 2022-04-21 | 深圳市大疆创新科技有限公司 | Time alignment method, device and system, and imaging assembly |
| CN114608678A (en) * | 2022-03-23 | 2022-06-10 | 杭州炬华科技股份有限公司 | Water meter calibration method and device based on pulse method |
| WO2022247088A1 (en) * | 2021-05-24 | 2022-12-01 | 苏州大学 | Source-free calibration method for smart meter |
-
2023
- 2023-03-10 CN CN202310229717.2A patent/CN115932711B/en active Active
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4697182A (en) * | 1985-09-16 | 1987-09-29 | Sangamo Weston, Inc. | Method of and system for accumulating verifiable energy demand data from remote electricity meters |
| EP1278073A1 (en) * | 2001-07-20 | 2003-01-22 | ENSECO GmbH | Device for measuring the electrical current flowing through at least an electrical conductor and method for error correction in such a device |
| WO2014114150A1 (en) * | 2013-01-22 | 2014-07-31 | 国家电网公司 | Method for checking electric energy sequence proportion distribution in dynamic measurement cycle of electric energy meter |
| CN103149430A (en) * | 2013-02-06 | 2013-06-12 | 陕西富集电力科技股份有限公司 | Electric energy pulse implementing method of electric energy meter |
| WO2015044715A1 (en) * | 2013-09-27 | 2015-04-02 | Freescale Semiconductor, Inc. | Low jitter pulse output for power meter |
| CN105573106A (en) * | 2014-10-08 | 2016-05-11 | 无锡华润矽科微电子有限公司 | Smart meter RTC timing precision correction circuit and method thereof |
| CN107607811A (en) * | 2017-09-06 | 2018-01-19 | 国网山东省电力公司桓台县供电公司 | A kind of analysis system of electricity quality evaluation and on-line early warning |
| WO2022077228A1 (en) * | 2020-10-13 | 2022-04-21 | 深圳市大疆创新科技有限公司 | Time alignment method, device and system, and imaging assembly |
| WO2022247088A1 (en) * | 2021-05-24 | 2022-12-01 | 苏州大学 | Source-free calibration method for smart meter |
| CN113433509A (en) * | 2021-07-02 | 2021-09-24 | 威胜集团有限公司 | Calibration method of metering ammeter, electric energy meter and storage medium |
| CN114062997A (en) * | 2021-11-05 | 2022-02-18 | 中国南方电网有限责任公司超高压输电公司广州局 | Method, system and device for checking electric energy meter |
| CN114047472A (en) * | 2021-12-22 | 2022-02-15 | 安徽南瑞中天电力电子有限公司 | Metering error monitoring system of intelligent electric meter and monitoring method and device thereof |
| CN114608678A (en) * | 2022-03-23 | 2022-06-10 | 杭州炬华科技股份有限公司 | Water meter calibration method and device based on pulse method |
Non-Patent Citations (2)
| Title |
|---|
| The pulse response of the APD meter;Jialu Zhou;《1989 International symposium on electromagnetic compatibility》;全文 * |
| 基于电能表的多路数据采集技术的研究;卢嘉栋;《互联网+应用》;全文 * |
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