CN113447881A - Measuring method and device of intelligent electric energy meter and terminal equipment - Google Patents
Measuring method and device of intelligent electric energy meter and terminal equipment Download PDFInfo
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- CN113447881A CN113447881A CN202110601439.XA CN202110601439A CN113447881A CN 113447881 A CN113447881 A CN 113447881A CN 202110601439 A CN202110601439 A CN 202110601439A CN 113447881 A CN113447881 A CN 113447881A
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Abstract
The invention is suitable for the technical field of intelligent electric energy meter error processing, and provides a measuring method, a measuring device and terminal equipment of an intelligent electric energy meter, wherein the method comprises the following steps: calculating error values of a first electric energy meter and a second electric energy meter according to measurement values of the first electric energy meter and the second electric energy meter under a plurality of temperature and humidity conditions; obtaining a plurality of temperature-error fitting curves corresponding to the humidity ranges according to the error values of the first electric energy meter and the second electric energy meter; acquiring a real-time measured value, a temperature value and a humidity value of the first electric energy meter; and determining a target error value corresponding to the temperature value in a temperature-error fitting curve corresponding to a target humidity range according to the humidity value and the temperature value, and determining a target measurement value according to the real-time measurement value and the target error value, thereby improving the measurement precision and the measurement accuracy of the common intelligent electric energy meter.
Description
Technical Field
The invention belongs to the technical field of intelligent electric energy meter error processing, and particularly relates to a measuring method and device of an intelligent electric energy meter and terminal equipment.
Background
Along with the construction of the national smart city and the established construction of the national smart city, the development strategy of the power internet of things is ubiquitous, novel metering equipment such as an intelligent electric energy meter, a collecting terminal and an electronic transformer is widely applied, the intelligent electric energy meter is used as basic equipment of the metering equipment and is used as the most critical and important power utilization information collecting equipment of a power utilization party in a power utilization information collecting system, and the measuring accuracy of the intelligent electric energy meter is particularly important for the application of an electric meter.
However, when the current intelligent electric energy meter operates in different environments, the current intelligent electric energy meter is easily influenced by the environment, so that the performance of the current intelligent electric energy meter is unstable, a measurement error is easily caused, information safety hazards of the intelligent electric energy meter in data storage and information transmission processes are caused, and the whole safe and stable operation of a power system is further influenced.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for measuring an intelligent electric energy meter, and a terminal device, which are used to solve the problem of measurement errors caused by operations in different environments in the prior art.
In order to achieve the above object, a first aspect of the embodiments of the present invention provides a method for measuring an intelligent electric energy meter, including:
calculating error values of a first electric energy meter and a second electric energy meter according to measurement values of the first electric energy meter and the second electric energy meter under a plurality of temperature and humidity conditions, wherein the error values are a plurality of error values, the error values respectively correspond to the temperature and humidity conditions, and the precision of the second electric energy meter is greater than that of the first electric energy meter;
obtaining a plurality of temperature-error fitting curves corresponding to the humidity ranges according to the error values of the first electric energy meter and the second electric energy meter;
acquiring a real-time measured value, a temperature value and a humidity value of the first electric energy meter;
and determining a target error value corresponding to the temperature value in a temperature-error fitting curve corresponding to a target humidity range according to the humidity value and the temperature value, and determining a target measurement value according to the real-time measurement value and the target error value.
As another embodiment of the present application, the calculating an error value of the first electric energy meter and the second electric energy meter according to the measured values of the first electric energy meter and the second electric energy meter under the multiple temperature and humidity conditions includes:
under a laboratory environment, obtaining measured values of the first electric energy meter and the second electric energy meter corresponding to different temperatures under different humidities respectively;
and respectively calculating error values of the measured values corresponding to the same temperature of the first electric energy meter and the second electric energy meter under the same humidity to obtain a plurality of error values corresponding to temperature and humidity conditions.
As another embodiment of the present application, the obtaining a plurality of temperature-error fitting curves corresponding to humidity ranges according to the error values of the first electric energy meter and the second electric energy meter includes:
calculating to obtain temperature-error hash point diagrams corresponding to different humidity ranges according to the error values of the first electric energy meter and the second electric energy meter;
and respectively fitting the temperature-error hash point diagrams corresponding to different humidity ranges to obtain a plurality of temperature-error fitting curves corresponding to the humidity ranges.
As another embodiment of the present application, the calculating a temperature-error hash point diagram corresponding to different humidity ranges according to the error values corresponding to different temperatures under different humidities includes:
calculating the difference value of the error values corresponding to the same temperatures under the two adjacent humidities aiming at each two adjacent humidities; when the number of the difference values within the preset error range is larger than or equal to the preset number, taking the two adjacent humidities as the boundary of one humidity range to obtain the humidity ranges corresponding to the two adjacent humidities;
combining adjacent humidity ranges containing the same humidity until the same humidity does not exist between the combined humidity ranges, and taking the combined humidity ranges as final humidity ranges;
and calculating to obtain a unique temperature-error hash point diagram corresponding to the final humidity range according to the at least one temperature-error hash point diagram corresponding to the final humidity range.
As another embodiment of the present application, the calculating, according to the at least one temperature-error hash point map corresponding to the final humidity range, a unique temperature-error hash point map corresponding to the final humidity range includes:
calculating an average error value of error values corresponding to the same temperature in the final humidity range according to at least one temperature-error hash point diagram corresponding to the final humidity range;
and obtaining a unique temperature-average error hash point diagram corresponding to the final humidity range according to the average error value of the error values corresponding to the same temperature in the final humidity range.
As another embodiment of the present application, the fitting process of the temperature-error hash point maps corresponding to different humidity ranges respectively to obtain a plurality of temperature-error fitted curves corresponding to the humidity ranges includes:
and respectively fitting the temperature-error hash point diagrams corresponding to different humidity ranges based on a minimum two-dimensional curve fitting method or a Gaussian fitting method to obtain temperature-error fitting curves corresponding to a plurality of humidity ranges.
As another embodiment of the present application, the determining a target error value corresponding to the temperature value in a temperature-error fit curve corresponding to a target humidity range according to the humidity value and the temperature value includes:
determining a target humidity range where the humidity value is located according to the humidity value;
and determining a target error value corresponding to the temperature value in a temperature-error fitting curve corresponding to the target humidity range according to the temperature value.
A second aspect of an embodiment of the present invention provides a measurement apparatus for an intelligent electric energy meter, including:
the calculation module is used for calculating a plurality of error values of the first electric energy meter and the second electric energy meter according to measurement values of the first electric energy meter and the second electric energy meter under a plurality of temperature and humidity conditions, the plurality of error values correspond to the plurality of temperature and humidity conditions respectively, and the precision of the second electric energy meter is higher than that of the first electric energy meter;
the processing module is used for obtaining a plurality of temperature-error fitting curves corresponding to the humidity ranges according to the error values of the first electric energy meter and the second electric energy meter;
the acquisition module is used for acquiring a real-time measurement value, a temperature value and a humidity value of the first intelligent electric energy meter;
and the error processing module is used for determining a target error value corresponding to the temperature value in a temperature-error fitting curve corresponding to a target humidity range according to the humidity value and the temperature value, and determining a target measurement value according to the real-time measurement value and the target error value.
A third aspect of an embodiment of the present invention provides a terminal device, including: the measuring method comprises the following steps of a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the computer program to realize the steps of the measuring method of the intelligent electric energy meter according to any one of the above embodiments.
A fourth aspect of an embodiment of the present invention provides a computer-readable storage medium, including: the computer readable storage medium stores a computer program, and the computer program is used for implementing the steps of the method for measuring the intelligent electric energy meter according to any one of the above embodiments when being executed by a processor.
Compared with the prior art, the embodiment of the invention has the following beneficial effects: compared with the prior art, the method and the device have the advantages that the measurement errors of the first electric energy meter and the second electric energy meter under different environments are calculated, and the measurement errors are processed to obtain the target error value, so that the target error value can be adopted to correct the errors of the measurement values of the first electric energy meter under different humidity and different temperatures, on one hand, the measurement precision influenced by the hardware of the first electric energy meter can be improved, the cost for replacing the second electric energy meter due to the precision requirement is reduced, and on the other hand, the measurement accuracy of the first electric energy meter due to the influence of environmental factors can be improved.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic flow chart of an implementation of a measurement method of an intelligent electric energy meter according to an embodiment of the present invention;
fig. 2 is an exemplary diagram of a measuring device of an intelligent electric energy meter according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a terminal device according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
Fig. 1 is a schematic view of an implementation flow of a measurement method of an intelligent electric energy meter according to an embodiment of the present invention, which is described in detail below.
Optionally, the plurality of temperature and humidity conditions may include a plurality of temperature and humidity values formed by different temperatures and different humidities.
The first electric energy meter can be a common intelligent electric energy meter, and the second electric energy meter can be a high-precision intelligent electric energy meter.
Optionally, the step may include obtaining, in a laboratory environment, measurement values corresponding to different temperatures of the first electric energy meter and the second electric energy meter at different humidities, respectively;
and respectively calculating error values of the measured values corresponding to the same temperature of the first electric energy meter and the second electric energy meter under the same humidity to obtain a plurality of error values corresponding to temperature and humidity conditions.
The first electric energy meter and the second electric energy meter have different measurement precision, measurement errors are calculated by adopting measurement values of the high-precision intelligent electric energy meter and the common intelligent electric energy meter in the embodiment, the measurement precision of the common intelligent electric energy meter can be improved under the condition that hardware is not changed, and on the other hand, the measurement accuracy caused by environmental influence is improved.
In an embodiment, in a laboratory environment, when measurement values corresponding to different temperatures of the first electric energy meter and the second electric energy meter are obtained under different humidities, the different humidities are set to 30% RH, 40% RH, 50% RH, 60% RH, 70% RH, 80% RH, and 90% RH, respectively; the different temperatures may include: 10 deg.C, 15 deg.C, 20 deg.C, 25 deg.C, 30 deg.C, 35 deg.C, 40 deg.C, 45 deg.C, 50 deg.C, 55 deg.C, 60 deg.C.
Under a standard laboratory environment, measurement values corresponding to different temperatures are measured through constant humidity, for example, measurement values corresponding to a first electric energy meter and a second electric energy meter at 30% RH, 10 ℃, 15 ℃, 20 ℃, 25 ℃, 30 ℃, 35 ℃, 40 ℃, 45 ℃, 50 ℃, 55 ℃ and 60 ℃ are respectively recorded, and humidity values are sequentially changed, so that measurement values corresponding to different temperatures under different humidities can be obtained.
And sequentially calculating the difference value of the measured values corresponding to 10 ℃ and the difference value … … of the measured values corresponding to 15 ℃ of the first electric energy meter and the second electric energy meter under 30% RH, calculating the difference value of the measured values corresponding to 10 ℃ and the difference value of the measured values corresponding to 15 ℃ under 40% RH, and the like until the error values of the first electric energy meter and the second electric energy meter are calculated.
In order to improve the accuracy of the measurement, several different sets of measured values may be measured under each condition, and then the average of the measured values is calculated as the measured value under the current condition. For example, after the overall measurement is completed, the measurement values under the same condition may be re-measured to obtain multiple sets of corresponding measurement values under the same condition. Or after measuring the measured values corresponding to different temperatures under one humidity, measuring the measured values corresponding to different temperatures under the humidity again, thereby obtaining multiple groups of measured values corresponding to the same condition. Or a plurality of first electric energy meters and a plurality of second electric energy meters can be adopted for simultaneous measurement, and then the average value of the measured values of the first electric energy meters under the same condition is calculated, and the average value of the measured values of the second electric energy meters under the same condition is calculated.
And 102, obtaining a plurality of temperature-error fitting curves corresponding to the humidity ranges according to the error values of the first electric energy meter and the second electric energy meter.
In this step, the error values with small differences corresponding to the same temperature under different humidities can be combined into a group to obtain a humidity range, namely, the error values with small differences corresponding to the same temperature in the humidity range are found through a large number of experiments, so that the temperature has a large influence on the measured value of the intelligent electric energy meter, the humidity has a small influence on the measured value of the intelligent electric energy meter, the error influence on the intelligent electric energy meter after combination is small, and the calculation speed can be increased.
This step may include: calculating to obtain temperature-error hash point diagrams corresponding to different humidity ranges according to the error values of the first electric energy meter and the second electric energy meter; and respectively fitting the temperature-error hash point diagrams corresponding to different humidity ranges to obtain a plurality of temperature-error fitting curves corresponding to the humidity ranges.
Optionally, the calculating to obtain the temperature-error hash point diagrams corresponding to different humidity ranges according to the error values of the first electric energy meter and the second electric energy meter may include:
calculating the difference value of the error values corresponding to the same temperatures under the two adjacent humidities aiming at each two adjacent humidities; when the number of the difference values within the preset error range is larger than or equal to the preset number, taking the two adjacent humidities as the boundary of one humidity range to obtain the humidity ranges corresponding to the two adjacent humidities;
merging adjacent humidity ranges containing the same humidity until the same humidity does not exist between the merged humidity ranges, and taking the merged humidity ranges as final humidity ranges;
and calculating to obtain a unique temperature-error hash point diagram corresponding to the final humidity range according to the at least one temperature-error hash point diagram corresponding to the final humidity range.
Optionally, the preset error range may be set according to actual requirements, and a value of the preset error range is not limited in this embodiment.
For example, error values corresponding to different temperatures at 30% RH and error values corresponding to different temperatures at 40% RH are calculated to see if humidity consolidation is possible. Respectively calculating the difference value of the error values corresponding to 10 ℃ under 30% RH and 40% RH, then sequentially calculating the difference values of the error values corresponding to 15 ℃, 20 ℃, 25 ℃, 30 ℃, 35 ℃, 40 ℃, 45 ℃, 50 ℃, 55 ℃ and 60 ℃, and sequentially detecting, wherein when the number of the difference values within the preset error range is greater than or equal to the preset number, the 30% RH and the 35% RH can be combined. Here, the predetermined number may be 90% or more.
For example, 30% RH and 40% RH are combined to give a humidity range (30% RH, 40% RH).
When the humidity ranges obtained were (30% RH, 40% RH), (40% RH, 50% RH), (60% RH, 70% RH), (70% RH, 80% RH), 90% RH, respectively.
Combining adjacent humidity ranges that contain the same humidity, i.e. (30% RH, 40% RH), (40% RH, 50% RH) both include 40% RH, then (30% RH, 40% RH) and (40% RH, 50% RH) are combined to yield a humidity range (30% RH, 50% RH). Similarly, (60% RH, 70% RH), (70% RH, 80% RH) were combined to give a humidity range (60% RH, 80% RH). Then, if there are no adjacent humidity ranges containing the same humidity, the final humidity ranges are (30% RH, 50% RH), (60% RH, 80% RH), and 90% RH.
For example, when the humidity ranges obtained are (30% RH, 40% RH), (40% RH, 50% RH), (50% RH, 60% RH), (70% RH, 80% RH), 90% RH, respectively.
Combining adjacent humidity ranges that contain the same humidity, i.e. (30% RH, 40% RH), (40% RH, 50% RH) both include 40% RH, then (30% RH, 40% RH) and (40% RH, 50% RH) are combined to yield a humidity range (30% RH, 50% RH). (30% RH, 50% RH), (50% RH, 60% RH) combine to give a humidity range (30% RH, 60% RH), the remaining humidity ranges cannot combine, then the final humidity ranges are (30% RH, 60% RH), (70% RH, 80% RH), 90% RH.
It should be noted that when 80% RH and 90% RH cannot be combined with the humidity value later, 90% RH is determined as a single humidity range.
Optionally, when the unique temperature-error hash point map corresponding to the final humidity range is obtained by calculation according to the at least one temperature-error hash point map corresponding to the final humidity range, the method may include:
calculating an average error value of error values corresponding to the same temperature in the final humidity range according to at least one temperature-error hash point diagram corresponding to the final humidity range;
and obtaining a unique temperature-average error hash point diagram corresponding to the final humidity range according to the average error value of the error values corresponding to the same temperature in the final humidity range.
For example, when 30% RH and 40% RH are combined, the average error value is calculated from the error value at 10 ℃ at 30% RH and the error value at 10 ℃ at 40% RH, and the average error value is obtained as the average error value at 10 ℃ at (30% RH, 40% RH). Average error values at 15 ℃, 20 ℃, 25 ℃, 30 ℃, 35 ℃, 40 ℃, 45 ℃, 50 ℃, 55 ℃ and 60 ℃ under (30% RH, 40% RH) can be obtained in sequence, so as to obtain a temperature-average error hash point diagram corresponding to (30% RH, 40% RH).
Optionally, the fitting process is performed on the temperature-error curves corresponding to different humidity ranges respectively to obtain the temperature-error fitted curves corresponding to different humidity ranges, including:
and respectively fitting the temperature-error hash point diagrams corresponding to different humidity ranges based on a minimum two-dimensional curve fitting method or a Gaussian fitting method to obtain temperature-error fitting curves corresponding to a plurality of humidity ranges. Thus, a smooth temperature-error fitting curve corresponding to different humidity ranges can be obtained.
And 103, acquiring a real-time measurement value, a temperature value and a humidity value of the first intelligent electric energy meter.
And step 104, determining a target error value corresponding to the temperature value in a temperature-error fitting curve corresponding to the target humidity range according to the humidity value and the temperature value, and determining a target measurement value according to the real-time measurement value and the target error value.
Optionally, in this step, determining a target error value corresponding to the temperature value in a temperature-error fit curve corresponding to the target humidity range according to the humidity value and the temperature value may include:
determining a target humidity range where the humidity value is located according to the humidity value;
and determining a target error value corresponding to the temperature value in the temperature-error fitting curve corresponding to the target humidity range according to the temperature value.
Optionally, before determining the target humidity range in which the humidity value is located according to the humidity value, the method may further include:
detecting whether the humidity value is within a preset humidity range or not according to the humidity value;
when the humidity value is within a preset humidity range, determining a target humidity range in which the humidity value is located according to the humidity value;
and when the humidity value is not within the preset humidity range, determining the humidity range closest to the humidity value and determining the humidity range as the target humidity range, so that the target measured value can be further obtained, and the accuracy and precision of the obtained target measured value are greatly improved.
According to the measuring method of the intelligent electric energy meter, the error value of the first electric energy meter and the error value of the second electric energy meter are calculated according to the measured values of the first electric energy meter and the second electric energy meter under the conditions of a plurality of temperatures and humidity; obtaining a plurality of temperature-error fitting curves corresponding to the humidity ranges according to the error values of the first electric energy meter and the second electric energy meter; acquiring a real-time measured value, a temperature value and a humidity value of a first electric energy meter; and determining a target error value corresponding to the temperature value in a temperature-error fitting curve corresponding to the target humidity range according to the humidity value and the temperature value, and determining a target measurement value according to the real-time measurement value and the target error value. The measurement errors of the first electric energy meter and the second electric energy meter in different environments are calculated, and the measurement errors are processed to obtain a target error value, so that the target error value can be adopted to correct the errors of the measurement values of the first electric energy meter under different humidity and different temperatures, on one hand, the measurement precision of the first electric energy meter hardware affected by the first electric energy meter can be improved, the cost of replacing the second electric energy meter due to precision requirements is reduced, and on the other hand, the measurement accuracy of the first electric energy meter due to the influence of environmental factors can be improved.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
Corresponding to the measurement method of the intelligent electric energy meter described in the above embodiment, fig. 2 shows an exemplary diagram of a measurement device of the intelligent electric energy meter provided by the embodiment of the invention. As shown in fig. 2, the apparatus may include: a calculation module 201, a processing module 202, an acquisition module 203 and an error processing module 204;
the calculation module 201 is configured to calculate, according to measurement values of a first electric energy meter and a second electric energy meter under multiple temperature and humidity conditions, a plurality of error values of the first electric energy meter and the second electric energy meter, where the plurality of error values correspond to the multiple temperature and humidity conditions, respectively, and the precision of the second electric energy meter is greater than that of the first electric energy meter;
the processing module 202 is configured to obtain a plurality of temperature-error fitting curves corresponding to the humidity ranges according to the error values of the first electric energy meter and the second electric energy meter;
the obtaining module 203 is configured to obtain a real-time measured value, a temperature value, and a humidity value of the first electric energy meter;
an error processing module 204, configured to determine a target error value corresponding to the temperature value in a temperature-error fit curve corresponding to a target humidity range according to the humidity value and the temperature value, and determine a target measurement value according to the real-time measurement value and the target error value.
Optionally, when the calculating module 201 calculates the error value of the first electric energy meter and the error value of the second electric energy meter according to the measured values of the first electric energy meter and the second electric energy meter under the multiple temperature and humidity conditions, it may be configured to:
under a laboratory environment, obtaining measured values of the first electric energy meter and the second electric energy meter corresponding to different temperatures under different humidities respectively;
and respectively calculating error values of the measured values corresponding to the same temperature of the first electric energy meter and the second electric energy meter under the same humidity to obtain a plurality of error values corresponding to temperature and humidity conditions.
Optionally, when the processing module 202 obtains the temperature-error fitting curves corresponding to the multiple humidity ranges according to the error values of the first electric energy meter and the second electric energy meter, the processing module may be configured to:
calculating to obtain temperature-error hash point diagrams corresponding to different humidity ranges according to the error values of the first electric energy meter and the second electric energy meter;
and respectively fitting the temperature-error hash point diagrams corresponding to different humidity ranges to obtain a plurality of temperature-error fitting curves corresponding to the humidity ranges.
Optionally, when the processing module 202 calculates the temperature-error hash point diagram corresponding to different humidity ranges according to the error values corresponding to different temperatures under different humidities, it may be configured to:
calculating the difference value of the error values corresponding to the same temperatures under the two adjacent humidities aiming at each two adjacent humidities; when the number of the difference values within the preset error range is larger than or equal to the preset number, taking the two adjacent humidities as the boundary of one humidity range to obtain the humidity ranges corresponding to the two adjacent humidities;
combining adjacent humidity ranges containing the same humidity until the same humidity does not exist between the combined humidity ranges, and taking the combined humidity ranges as final humidity ranges;
and calculating to obtain a unique temperature-error hash point diagram corresponding to the final humidity range according to the at least one temperature-error hash point diagram corresponding to the final humidity range.
Optionally, when the processing module 202 calculates the unique temperature-error hash point map corresponding to the final humidity range according to the at least one temperature-error hash point map corresponding to the final humidity range, the processing module may be configured to:
calculating an average error value of error values corresponding to the same temperature in the final humidity range according to at least one temperature-error hash point diagram corresponding to the final humidity range;
and obtaining a unique temperature-average error hash point diagram corresponding to the final humidity range according to the average error value of the error values corresponding to the same temperature in the final humidity range.
Optionally, the processing module 202 may be configured to perform fitting processing on the temperature-error hash point maps corresponding to different humidity ranges respectively to obtain temperature-error fit curves corresponding to multiple humidity ranges, where:
and respectively fitting the temperature-error hash point diagrams corresponding to different humidity ranges based on a minimum two-dimensional curve fitting method or a Gaussian fitting method to obtain temperature-error fitting curves corresponding to a plurality of humidity ranges.
Optionally, when the error processing module 204 determines the target error value corresponding to the temperature value in the temperature-error fit curve corresponding to the target humidity range according to the humidity value and the temperature value, it may be configured to:
determining a target humidity range where the humidity value is located according to the humidity value;
and determining a target error value corresponding to the temperature value in a temperature-error fitting curve corresponding to the target humidity range according to the temperature value.
According to the measuring device of the intelligent electric energy meter, the error values of the first electric energy meter and the second electric energy meter are calculated through the calculating module according to the measured values of the first electric energy meter and the second electric energy meter under the conditions of multiple temperature and humidity; according to the error values of the first electric energy meter and the second electric energy meter, the processing module obtains a plurality of temperature-error fitting curves corresponding to the humidity ranges; the acquisition module acquires a real-time measured value, a temperature value and a humidity value of the first electric energy meter; according to the humidity value and the temperature value, the error processing module determines a target error value corresponding to the temperature value in a temperature-error fitting curve corresponding to a target humidity range, and determines a target measurement value according to the real-time measurement value and the target error value. The measurement errors of the first electric energy meter and the second electric energy meter in different environments are calculated, and the measurement errors are processed to obtain a target error value, so that the target error value can be adopted to correct the errors of the measurement values of the first electric energy meter under different humidity and different temperatures, on one hand, the measurement precision of the first electric energy meter hardware affected by the first electric energy meter can be improved, the cost of replacing the second electric energy meter due to precision requirements is reduced, and on the other hand, the measurement accuracy of the first electric energy meter due to the influence of environmental factors can be improved.
Fig. 3 is a schematic diagram of a terminal device according to an embodiment of the present invention. As shown in fig. 3, the terminal device 300 of this embodiment includes: a processor 301, a memory 302 and a computer program 303 stored in said memory 302 and operable on said processor 301, for example a measurement program of an intelligent electric energy meter. The processor 301 executes the computer program 303 to implement the steps in the measurement method embodiment of the intelligent electric energy meter, such as the steps 101 to 104 shown in fig. 1, and the processor 301 executes the computer program 303 to implement the functions of the modules in the device embodiments, such as the modules 201 to 304 shown in fig. 2.
Illustratively, the computer program 303 may be divided into one or more program modules that are stored in the memory 302 and executed by the processor 301 to implement the present invention. The one or more program modules may be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used for describing the execution process of the computer program 303 in the measuring device or the terminal device 300 of the intelligent electric energy meter. For example, the computer program 303 may be divided into a computing module 201, a processing module 202, an obtaining module 203, and an error processing module 204, and specific functions of the modules are shown in fig. 2, which are not described in detail herein.
The terminal device 300 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The terminal device may include, but is not limited to, a processor 301, a memory 302. Those skilled in the art will appreciate that fig. 3 is merely an example of a terminal device 300 and does not constitute a limitation of terminal device 300 and may include more or fewer components than shown, or some components may be combined, or different components, for example, the terminal device may also include input output devices, network access devices, buses, etc.
The Processor 301 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 302 may be an internal storage unit of the terminal device 300, such as a hard disk or a memory of the terminal device 300. The memory 302 may also be an external storage device of the terminal device 300, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the terminal device 300. Further, the memory 302 may also include both an internal storage unit and an external storage device of the terminal device 300. The memory 302 is used for storing the computer programs and other programs and data required by the terminal device 300. The memory 302 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. . Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. A measuring method of an intelligent electric energy meter is characterized by comprising the following steps:
calculating error values of a first electric energy meter and a second electric energy meter according to measurement values of the first electric energy meter and the second electric energy meter under a plurality of temperature and humidity conditions, wherein the error values are a plurality of error values, the error values respectively correspond to the temperature and humidity conditions, and the precision of the second electric energy meter is greater than that of the first electric energy meter;
obtaining a plurality of temperature-error fitting curves corresponding to the humidity ranges according to the error values of the first electric energy meter and the second electric energy meter;
acquiring a real-time measured value, a temperature value and a humidity value of the first electric energy meter;
and determining a target error value corresponding to the temperature value in a temperature-error fitting curve corresponding to a target humidity range according to the humidity value and the temperature value, and determining a target measurement value according to the real-time measurement value and the target error value.
2. The method according to claim 1, wherein the calculating an error value between the first electric energy meter and the second electric energy meter according to the measured values of the first electric energy meter and the second electric energy meter under the temperature and humidity conditions comprises:
under a laboratory environment, obtaining measured values of the first electric energy meter and the second electric energy meter corresponding to different temperatures under different humidities respectively;
and respectively calculating error values of the measured values corresponding to the same temperature of the first electric energy meter and the second electric energy meter under the same humidity to obtain a plurality of error values corresponding to temperature and humidity conditions.
3. The method according to claim 1, wherein obtaining a plurality of temperature-error fit curves corresponding to humidity ranges according to the error values of the first electric energy meter and the second electric energy meter comprises:
calculating to obtain temperature-error hash point diagrams corresponding to different humidity ranges according to the error values of the first electric energy meter and the second electric energy meter;
and respectively fitting the temperature-error hash point diagrams corresponding to different humidity ranges to obtain a plurality of temperature-error fitting curves corresponding to the humidity ranges.
4. The method for measuring an intelligent electric energy meter according to claim 3, wherein the step of calculating the temperature-error hash point diagram corresponding to different humidity ranges according to the error values corresponding to different temperatures under different humidities comprises:
calculating the difference value of the error values corresponding to the same temperatures under the two adjacent humidities aiming at each two adjacent humidities; when the number of the difference values within the preset error range is larger than or equal to the preset number, taking the two adjacent humidities as the boundary of one humidity range to obtain the humidity ranges corresponding to the two adjacent humidities;
combining adjacent humidity ranges containing the same humidity until the same humidity does not exist between the combined humidity ranges, and taking the combined humidity ranges as final humidity ranges;
and calculating to obtain a unique temperature-error hash point diagram corresponding to the final humidity range according to the at least one temperature-error hash point diagram corresponding to the final humidity range.
5. The method for measuring an intelligent electric energy meter according to claim 4, wherein the calculating a unique temperature-error hash point diagram corresponding to the final humidity range according to the at least one temperature-error hash point diagram corresponding to the final humidity range comprises:
calculating an average error value of error values corresponding to the same temperature in the final humidity range according to at least one temperature-error hash point diagram corresponding to the final humidity range;
and obtaining a unique temperature-average error hash point diagram corresponding to the final humidity range according to the average error value of the error values corresponding to the same temperature in the final humidity range.
6. The method for measuring an intelligent electric energy meter according to any one of claims 3 to 5, wherein the fitting process is performed on the temperature-error hash point diagrams corresponding to different humidity ranges respectively to obtain temperature-error fitted curves corresponding to a plurality of humidity ranges, and the method comprises the following steps:
and respectively fitting the temperature-error hash point diagrams corresponding to different humidity ranges based on a minimum two-dimensional curve fitting method or a Gaussian fitting method to obtain temperature-error fitting curves corresponding to a plurality of humidity ranges.
7. The method for measuring an intelligent electric energy meter according to any one of claims 1-5, wherein the determining a target error value corresponding to the temperature value in a temperature-error fit curve corresponding to a target humidity range according to the humidity value and the temperature value comprises:
determining a target humidity range where the humidity value is located according to the humidity value;
and determining a target error value corresponding to the temperature value in a temperature-error fitting curve corresponding to the target humidity range according to the temperature value.
8. A measuring device of an intelligent electric energy meter is characterized by comprising:
the calculation module is used for calculating a plurality of error values of the first electric energy meter and the second electric energy meter according to measurement values of the first electric energy meter and the second electric energy meter under a plurality of temperature and humidity conditions, the plurality of error values correspond to the plurality of temperature and humidity conditions respectively, and the precision of the second electric energy meter is higher than that of the first electric energy meter;
the processing module is used for obtaining a plurality of temperature-error fitting curves corresponding to the humidity ranges according to the error values of the first electric energy meter and the second electric energy meter;
the acquisition module is used for acquiring a real-time measurement value, a temperature value and a humidity value of the first intelligent electric energy meter;
and the error processing module is used for determining a target error value corresponding to the temperature value in a temperature-error fitting curve corresponding to a target humidity range according to the humidity value and the temperature value, and determining a target measurement value according to the real-time measurement value and the target error value.
9. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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