CN114879126A - Accurate power utilization regulation and control terminal calibration method, device and equipment - Google Patents
Accurate power utilization regulation and control terminal calibration method, device and equipment Download PDFInfo
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Abstract
The invention provides a method for accurately calibrating a power utilization regulation and control terminal, which comprises the following steps: the method comprises the steps of establishing a thermal simulation model of the accurate power utilization regulation and control terminal, correcting the thermal simulation model by adopting variation data of error values of the accurate power utilization regulation and control terminal along with temperature under different working conditions, obtaining variation data of error values of related components of the accurate power utilization regulation and control terminal along with the temperature under different working conditions, constructing a self-learning model based on the variation data of the error values of the related components along with the temperature, obtaining a mapping relation between the error values of related components and the temperature, then obtaining temperature distribution data of the accurate power utilization regulation and control terminal under different working conditions and temperature characteristics of the related components, further determining temperature compensation coefficients of the related components under different working conditions, and then determining the temperature compensation calibration coefficients of the accurate power utilization regulation and control terminal under different working conditions based on the temperature compensation coefficients, thereby reducing the metering error of the accurate power utilization regulation and control terminal.
Description
Technical Field
The invention relates to the technical field of power equipment, in particular to a method, a device and equipment for calibrating a precise power utilization regulation and control terminal.
Background
At present, the analysis of a precise power utilization regulation and control terminal (such as a metering device) is mainly performed at normal temperature according to different operating conditions (under the conditions of different voltages, currents and phase angles) of operation, the influence of the operating conditions and environmental factors of the intelligent electric meter is qualitatively analyzed, and the method is lack of data of a structure or a system, so that subjective deviation is caused, and the reliability and the accuracy of metering calibration are influenced. In addition, regarding the environmental temperature change, mainly considering the temperature and the error change, the error correction is performed by using a compensation device, or the temperature is compensated by using a method such as appropriate correction of the gain of the chip or the oscillation frequency of the crystal oscillator. Meanwhile, simulation software is used for modeling, and a temperature mapping relation between the chip and key components influencing errors in the metering loop is established according to the obtained actual temperature data.
The influence of full temperature production in the actual use process is not considered in the calibration of accurate power consumption regulation and control terminal to lead to its metering error precision relatively poor.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method, an apparatus, and a device for calibrating a precise power consumption regulation terminal, so as to improve the metering accuracy of the precise power consumption regulation terminal.
In order to achieve the above purpose, the embodiments of the present invention provide the following technical solutions:
a method for calibrating a precise power utilization regulation and control terminal comprises the following steps:
acquiring a thermal simulation model of the accurate power utilization regulation and control terminal;
acquiring variation data of the error value of the accurate electricity utilization regulation and control terminal along with the temperature under different working conditions, and recording the variation data as first variation data;
modifying the thermal simulation model based on the first variation data;
based on the thermal simulation model, obtaining variation data of error values of related components of the accurate power utilization regulation and control terminal along with temperature under different working conditions, and recording the variation data as second variation data;
taking the second change data as a prediction variable to construct a self-learning model, wherein the self-learning model is used for representing a mapping relation between error values and temperatures of relevant components of the accurate power utilization regulation and control terminal under different working conditions;
acquiring temperature distribution data of the accurate power utilization regulation and control terminal under different working conditions and temperature characteristics of related components;
acquiring temperature compensation coefficients of related components under various working conditions based on the mapping relation, the temperature distribution data of the accurate power utilization regulation and control terminal under different working conditions and the temperature characteristics of the related components;
and determining the temperature compensation calibration coefficient of the accurate power utilization regulation and control terminal under different working conditions based on the temperature compensation coefficient.
Optionally, in the method for calibrating the accurate power consumption regulation and control terminal, acquiring data of variation of the error value of the accurate power consumption regulation and control terminal along with the temperature under different working conditions includes:
the data of the error value of the accurate electricity utilization regulation and control terminal along with the change of the temperature under different voltages;
the data of the error value of the accurate electricity utilization regulation and control terminal along with the change of the temperature under different phase angles;
and the error value of the accurate power utilization regulation and control terminal under different currents is changed along with the temperature.
Optionally, in the calibration method for the accurate power consumption regulation and control terminal, the related components include: a metering chip and a sampling resistor.
Optionally, in the calibration method for the accurate power consumption regulation and control terminal, the obtaining of the thermal simulation model of the accurate power consumption regulation and control terminal includes:
and constructing a thermal simulation model influencing the temperature field distribution of the accurate power utilization regulation and control terminal based on the three-dimensional model of the accurate power utilization regulation and control terminal and the related component simulation assembly data of the accurate power utilization regulation and control terminal.
Optionally, in the calibration method for the accurate power consumption regulation and control terminal, the self-learning model is a BP neural network model with an adjustable learning rate.
The utility model provides an accurate power consumption regulation and control terminal calibration device, includes:
the model building unit is used for obtaining a thermal simulation model of the accurate power utilization regulation and control terminal;
the first change data recording unit is used for acquiring change data of the error value of the accurate power utilization regulation and control terminal along with the temperature under different working conditions, and recording the change data as first change data;
a thermal simulation model modification unit configured to modify the thermal simulation model based on the first change data;
the second change data recording unit is used for acquiring change data of error values of related components of the accurate power utilization regulation and control terminal along with temperature under different working conditions, and recording the change data as second change data;
the self-learning unit is used for taking the second change data as a prediction variable to construct a self-learning model, and the self-learning model is used for representing the mapping relation between the error values and the temperatures of the related components of the accurate power utilization regulation and control terminal under different working conditions;
the temperature characteristic acquisition unit is used for acquiring temperature distribution data of the accurate power utilization regulation and control terminal under different working conditions and temperature characteristics of relevant components;
the first compensation coefficient analysis unit is used for acquiring the temperature compensation coefficients of the related components under various working conditions based on the mapping relation, the temperature distribution data of the accurate power utilization regulation and control terminal under different working conditions and the temperature characteristics of the related components;
and the second compensation coefficient analysis unit is used for determining the temperature compensation calibration coefficient of the accurate power utilization regulation and control terminal under different working conditions based on the temperature compensation coefficient.
Optionally, in the above-mentioned accurate power consumption regulation and control terminal calibration device, when obtaining the error value of accurate power consumption regulation and control terminal under the different work condition along with the change data of temperature, first change data recording unit specifically is used for:
acquiring the change data of the error value of the accurate power utilization regulating and controlling terminal along with the temperature under different voltages;
acquiring data of the change of error values of the accurate power utilization regulating and controlling terminal along with the temperature under different phase angles;
and obtaining the change data of the error value of the accurate power utilization regulation and control terminal along with the temperature under different currents.
Optionally, in the above-mentioned accurate power consumption regulation and control terminal calibration device, relevant components and parts include: a metering chip and a sampling resistor.
Optionally, in the calibration device for the accurate power consumption regulation and control terminal, the model construction unit is specifically configured to, when acquiring the thermal simulation model of the accurate power consumption regulation and control terminal:
and constructing a thermal simulation model influencing the temperature field distribution of the accurate power utilization regulation and control terminal based on the three-dimensional model of the accurate power utilization regulation and control terminal and the related component simulation assembly data of the accurate power utilization regulation and control terminal.
The utility model provides an accurate power consumption regulation and control terminal calibration equipment, includes:
a memory and a processor; the memory stores a program adapted for execution by the processor, the program for:
acquiring a thermal simulation model of the accurate power utilization regulation and control terminal;
acquiring change data of error values of the accurate power utilization regulation and control terminal along with temperature under different working conditions, and recording the change data as first change data;
modifying the thermal simulation model based on the first variation data;
acquiring change data of error values of related components of the accurate power utilization regulation and control terminal along with temperature under different working conditions, and recording the change data as second change data;
taking the second change data as a prediction variable to construct a self-learning model, wherein the self-learning model is used for representing a mapping relation between error values and temperatures of relevant components of the accurate power utilization regulation and control terminal under different working conditions;
acquiring temperature distribution data of the accurate power utilization regulation and control terminal under different working conditions and temperature characteristics of related components;
acquiring temperature compensation coefficients of related components under various working conditions based on the mapping relation, the temperature distribution data of the accurate power utilization regulation and control terminal under different working conditions and the temperature characteristics of the related components;
and determining the temperature compensation calibration coefficient of the accurate power utilization regulation and control terminal under different working conditions based on the temperature compensation coefficient.
Based on the technical scheme, the technical scheme provided by the embodiment of the invention is that in the technical scheme disclosed by the embodiment of the application, a thermal simulation model of the accurate power utilization regulation and control terminal is created, the thermal simulation model is corrected by adopting the variation data of the error value of the accurate power utilization regulation and control terminal along with the temperature under different working conditions, a self-learning model is constructed based on the variation data of the error value of the related component along with the temperature by combining the thermal simulation model and the variation data of the error value of the related component along with the temperature under different working conditions, the mapping relation between the error value of the related component and the temperature is obtained, then the temperature distribution data of the accurate power utilization regulation and control terminal under different working conditions and the temperature characteristics of the related component are obtained, and the temperature of each related component under different working conditions is determined based on the temperature distribution data of the accurate power utilization regulation and control terminal under different working conditions, the method comprises the steps of determining the device temperature characteristics of each relevant element under different working conditions based on the temperature of each relevant element under different working conditions, obtaining error values of each relevant element under different working conditions based on the mapping relation, determining the temperature compensation coefficients of relevant components under different working conditions based on the device temperature characteristics and the error values under different working conditions, and determining the temperature compensation calibration coefficients of the accurate power utilization regulation and control terminal under different working conditions based on the temperature compensation coefficients, so that the metering error of the accurate power utilization regulation and control terminal is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic flow chart of a calibration method for a precise power consumption regulation and control terminal disclosed in an embodiment of the present application;
fig. 2 is a schematic structural diagram of a precise power consumption regulation and control terminal calibration device disclosed in an embodiment of the present application;
fig. 3 is a schematic structural diagram of a precise power consumption regulation and control terminal calibration device disclosed in an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to solve the problem that normal-temperature calibration is easy to drift due to the influence of environmental temperature on a metering chip and a sampling resistor in actual use, and the influence of components on a metering error caused by temperature change of the accurate power utilization regulation terminal calibration under different working conditions (different voltages, currents and phase angles) is solved, the invention provides an accurate power utilization regulation terminal calibration optimization method for realizing full-temperature compensation by a BP neural network model for elastically regulating learning rate by considering the influence of the sampling resistor and the metering chip of the accurate power utilization regulation terminal in an operating temperature range on calibration under different working conditions (different voltages, currents and phase angles).
Specifically, referring to fig. 1, the method for calibrating the accurate power consumption regulation and control terminal disclosed by the present application may include:
step S101: acquiring a thermal simulation model of the accurate power utilization regulation and control terminal;
in this step, before acquireing accurate power consumption regulation and control terminal's thermal simulation model, need establish accurate power consumption regulation and control terminal's three-dimensional model to carry out the analog assembly of relevant components and parts, relevant components and parts refer to with the component that accurate power consumption regulation and control terminal's precision is relevant, for example, can include accurate power consumption regulation and control terminal's measurement chip, sampling resistor, also can include accurate power consumption regulation and control terminal CPU certainly, according to accurate power consumption regulation and control terminal inside three-dimensional model and relevant components and parts establish the thermal simulation model that influences terminal measurement accuracy.
Step S102: acquiring change data of error values of the accurate power utilization regulating and controlling terminal and related components along with temperature under different working conditions, and recording the change data as first change data;
in this step, the first change data is used for correcting the thermal simulation model, and in this step, the change data of the error value of the accurate power utilization regulation and control terminal along with the temperature under different working conditions can be obtained by actually measuring the accurate power utilization regulation and control terminal under different working conditions.
Specifically, the different working conditions may include a voltage working condition, a phase angle working condition and a current working condition;
that is, the first variation data in this step includes:
accurately acquiring data of the change of error values of the power utilization regulation and control terminal and related components along with the temperature under different voltages;
the metering error of the accurate electricity utilization regulation and control terminal of different voltages changes along with the change of temperature: during testing, the voltage change range of the accurate power utilization regulation and control terminal is set as a variable: the current is a fixed value, such as 0.25A, the phase angle is a fixed value, such as 0 degrees, the temperature change range of the accurate power utilization regulation and control terminal is-40-70 ℃, the change condition of the metering error of the accurate power utilization regulation and control terminal along with the temperature and the distribution condition of the metering chip and the sampling resistor of the accurate power utilization regulation and control terminal CPU along with the temperature are obtained;
accurately using the power utilization regulation and control terminal and the change data of the error values of the related components along with the temperature under different phase angles;
the metering error of the accurate power utilization regulation and control terminal under different phase angles changes along with the temperature: setting the voltage as a fixed value, the current as a fixed value, the phase angle as a variable, the variable range being-60 degrees, and the temperature variation range of the accurate power utilization regulation terminal being-40-70 degrees, obtaining the variation condition of the metering error of the accurate power utilization regulation terminal along with the temperature, and the distribution condition of the error of the CPU of the accurate power utilization regulation terminal along with the temperature;
and thirdly, accurately using the power regulation and control terminal and the error value of the related component and device to change with the temperature under different currents.
The metering error of the accurate power utilization regulation and control terminal under different currents changes along with the temperature: setting the voltage as a fixed value, the current as a variable, setting the phase angle as a fixed value, for example, 0 degrees, and setting the temperature variation range of the accurate power consumption regulation terminal to-40-70 ℃, obtaining the variation condition of the measurement error of the accurate power consumption regulation terminal along with the temperature, the measurement chip and the sampling resistor of the accurate power consumption regulation terminal, and the distribution condition of the error of the CPU of the accurate power consumption regulation terminal along with the temperature.
Step S103: modifying the thermal simulation model based on the first variation data;
and after the first change data is acquired, correcting the parameters of the thermal simulation model based on the first change data.
Step S104: based on the thermal simulation model, obtaining variation data of error values of related components of the accurate power utilization regulation and control terminal along with temperature under different working conditions, and recording the variation data as second variation data.
After the thermal simulation model is corrected, the temperature values of the relevant components under different working conditions are obtained based on the corrected thermal simulation model, and the error values of the relevant components under the temperature values can be obtained through analysis based on the temperature values, so that the change data of the error values of the relevant components of the accurate power utilization regulation and control terminal along with the temperature under different working conditions can be obtained.
Step S105: and constructing a self-learning model by taking the second change data as a prediction variable, wherein the self-learning model is used for representing the mapping relation between the error value and the temperature of the related components of the accurate power utilization regulation and control terminal under different working conditions.
In this step, the specific type of the self-learning model may be set according to the user's requirement, preferably, in this scheme, a BP neural network model with an adjustable learning rate is selected as the self-learning model, and the creating, training and verifying processes of the BP neural network model may refer to the prior art, and specifically, the process may include:
and establishing a BP neural network model, training the BP neural network model based on the change data of the errors of the related components along with the temperature, obtaining the mapping relation between the error values of the related components of the accurate power utilization regulation and control terminal and the temperature under various working conditions by adopting the trained BP neural network model, and recording the mapping relation as the mapping relation.
In this step, when training the BP neural network, first sample data needs to be initialized, and in this process, sample data needs to be processed, and initialized according to input and output (X, Y), and connection weights Wij and Wjk between neurons are determined, where the sample data is data of errors of relevant components and devices along with temperature change in the foregoing;
calculating the output of the hidden layer of the BP neural network: excitation functions g (x) of the BP neural network are Sigmoid functions, the node numbers of an input layer, a hidden layer and an output layer of the BP neural network are n, l and m respectively, the learning rate of the input layer is alpha, and then the output of the hidden layer of the BP neural network is as follows:
output calculation of the output layer of the BP neural network:
determining the learning efficiency coefficient of the BP neural network:
and (3) introducing a momentum factor alpha to improve the convergence speed of the network (alpha is more than or equal to 0 and less than or equal to 1), and when the correction direction of the iterative operation of the BP neural network is correct, assigning alpha to be slightly less than 1 for marking the memory direction. Otherwise, the value is assigned to 0, and the memory direction is not marked. Meanwhile, an elastic method is used for improvement, a Sigmoid function is used as an activation function of a hidden layer to modify the weight in iteration:
w(k+1)＝w(k)-(w(k)-w(k-1))sign(▽f(wk))
wherein w (k) represents the connection weight coefficient, and the above formula shows that when the elastic method is improved, if the weight value changes towards the same direction in iteration, the weight value is increased, so that the convergence rate of the algorithm is increased.
The error is calculated as:
wherein Z k To a desired output, Y k As an error, E k Represents the mean square error; in the above formula, i is 1 … n, j is 1 … l, and k is 1 … m.
Validation of neural networks
After the training of the BP neural network is finished, the neural network is trained by using the selected input and output data obtained by the test, so that the trained BP neural network can predict the output of the model. And a part of the selected second variation data is used for training the BP neural network, and a part of the second variation data is used as test data for testing the fitting performance of the BP neural network. And outputting by using the trained BP neural network prediction model, and analyzing the prediction result.
Step S106: and acquiring temperature distribution data of the accurate power utilization regulation and control terminal and the temperature characteristics of related components under different working conditions.
In this step, a simulation model of the related components of the accurate power consumption regulation and control terminal can be constructed by using Simulink, and the actually measured temperature characteristics of the related components (sampling resistor and metering chip) under different actually measured working conditions and the temperature distribution data of the accurate power consumption regulation and control terminal under different working conditions are written into the simulation model.
At the moment, temperature distribution data of the accurate power utilization regulation and control terminal and temperature characteristics of related components under various working conditions can be obtained based on the simulation model.
Step S107: and acquiring temperature compensation coefficients of the related components under each working condition based on the mapping relation, the temperature distribution data of the accurate power utilization regulation and control terminal under different working conditions and the temperature characteristics of the related components.
In this step, after the temperature distribution data of the accurate power consumption control terminal under different working conditions is determined, the temperature of each relevant component under different working conditions can be determined, so that the temperature characteristic of each relevant component under different working conditions is obtained, the error of each relevant component under the temperature can be obtained based on the temperature of the accurate power consumption control terminal under different working conditions through the mapping relation, and the temperature compensation coefficient of each relevant component under each working condition can be obtained by analyzing the error in combination with the temperature characteristic.
Step S108: and determining the temperature compensation calibration coefficient of the accurate power utilization regulation and control terminal under different working conditions based on the temperature compensation coefficient.
In this step, after the temperature compensation coefficients of the relevant components in the accurate power consumption regulation and control terminal under each working condition are determined, the temperature compensation calibration coefficients of the accurate power consumption regulation and control terminal are calculated based on the temperature compensation coefficients of the relevant components.
According to the technical scheme disclosed by the embodiment of the application, the thermal simulation model of the accurate power utilization regulation and control terminal is created, the change data of the error value of the accurate power utilization regulation and control terminal along with the temperature under different working conditions are adopted, the thermal simulation model is corrected and combined with the change data of the error value of the accurate power utilization regulation and control terminal along with the temperature under the different working conditions, the self-learning model is constructed based on the change data of the error value of the related component along with the temperature, the mapping relation between the error value of the related component and the temperature is obtained, then the temperature distribution data of the accurate power utilization regulation and control terminal and the temperature characteristics of the related component are obtained under the different working conditions, the temperature of each related component under the different working conditions is determined based on the temperature distribution data of the accurate power utilization regulation and control terminal under the different working conditions, and the device temperature of each related component under the different working conditions is determined based on the temperature of each related component under the different working conditions The method comprises the steps of obtaining the error values of all related elements under different working conditions based on the mapping relation, determining the temperature compensation coefficients of related components under different working conditions based on the device temperature characteristics and the error values under different working conditions, and determining the temperature compensation calibration coefficients of the accurate power utilization regulation and control terminal under different working conditions based on the temperature compensation coefficients, so that the metering error of the accurate power utilization regulation and control terminal is reduced.
The embodiment of the invention discloses a calibration device for a precise power utilization regulation and control terminal, and the specific working contents of each unit in the device refer to the contents of the method embodiment.
The accurate power consumption regulation and control terminal calibration device provided by the embodiment of the invention is described below, and the accurate power consumption regulation and control terminal calibration device described below and the accurate power consumption regulation and control terminal calibration method described above can be referred to correspondingly.
Referring to fig. 2, the apparatus may include: the system comprises a model building unit A, a first change data recording unit B, a thermal simulation model correcting unit C, a second change data recording unit D, a self-learning unit E, a temperature characteristic obtaining unit F, a first compensation coefficient analyzing unit G and a second compensation coefficient analyzing unit H.
A model building unit a, corresponding to the step S101 of the method, configured to obtain a thermal simulation model of the accurate power utilization regulation and control terminal;
a first change data recording unit B, corresponding to the step S102 of the method, configured to acquire change data of the error value of the accurate power consumption regulation and control terminal along with the temperature under different working conditions, and record the change data as first change data;
a thermal simulation model correction unit C, corresponding to the method step S103, for correcting the thermal simulation model based on the first variation data;
a second change data recording unit D, corresponding to the step S104 of the method, configured to obtain change data of error values of components related to the accurate power consumption regulation and control terminal along with temperature under different working conditions, and record the change data as second change data;
a self-learning unit E, corresponding to the step S105 of the method, for constructing a self-learning model by using the second change data as a prediction variable, wherein the self-learning model is used for representing a mapping relation between error values and temperatures of components related to the accurate power utilization regulation and control terminal under different working conditions;
a temperature characteristic obtaining unit F, corresponding to the step S106 of the method, configured to obtain temperature distribution data of the accurate power consumption regulation and control terminal and temperature characteristics of the relevant components under different working conditions;
a first compensation coefficient analysis unit G, corresponding to step S107 of the method, configured to obtain temperature compensation coefficients of relevant components under various operating conditions based on the mapping relationship, the temperature distribution data of the accurate power consumption regulation and control terminal under different operating conditions, and the temperature characteristics of the relevant components;
and a second compensation coefficient analysis unit H, corresponding to step S108 of the method, configured to determine, based on the temperature compensation coefficient, a temperature compensation calibration coefficient of the accurate power consumption regulation and control terminal under different working conditions.
Corresponding to the above method, the present application further discloses a calibration device for a precise power consumption regulation and control terminal, and fig. 3 is a hardware structure diagram of a server provided in an embodiment of the present invention, and as shown in fig. 3, the calibration device may include: at least one processor 100, at least one communication interface 200, at least one memory 300, and at least one communication bus 400;
in the embodiment of the present invention, the number of the processor 100, the communication interface 200, the memory 300, and the communication bus 400 is at least one, and the processor 100, the communication interface 200, and the memory 300 complete the communication with each other through the communication bus 400; it is clear that the communication connections shown by the processor 100, the communication interface 200, the memory 300 and the communication bus 400 shown in fig. 3 are merely optional;
optionally, the communication interface 200 may be an interface of a communication module, such as an interface of a GSM module;
the processor 100 may be a central processing unit CPU or an application Specific Integrated circuit asic or one or more Integrated circuits configured to implement embodiments of the present invention.
Wherein, the processor 100 is specifically configured to:
acquiring a thermal simulation model of the accurate power utilization regulation and control terminal;
acquiring change data of error values of the accurate power utilization regulation and control terminal along with temperature under different working conditions, and recording the change data as first change data;
modifying the thermal simulation model based on the first variation data;
based on the thermal simulation model, obtaining variation data of error values of related components of the accurate power utilization regulation and control terminal along with temperature under different working conditions, and recording the variation data as second variation data;
taking the second change data as a prediction variable to construct a self-learning model, wherein the self-learning model is used for representing a mapping relation between error values and temperatures of relevant components of the accurate power utilization regulation and control terminal under different working conditions;
acquiring temperature distribution data of the accurate power utilization regulation and control terminal under different working conditions and temperature characteristics of related components;
acquiring temperature compensation coefficients of related components under various working conditions based on the mapping relation, the temperature distribution data of the accurate power utilization regulation and control terminal under different working conditions and the temperature characteristics of the related components;
and determining the temperature compensation calibration coefficient of the accurate power utilization regulation and control terminal under different working conditions based on the temperature compensation coefficient.
According to the scheme, the calibration optimization method for the accurate power consumption regulation and control terminal provided by the invention considers calibration errors caused by the influence of temperature change on the sampling resistor and the metering chip of the accurate power consumption regulation and control terminal, and optimizes the calibration of the accurate power consumption regulation and control terminal at the full temperature;
according to the method, the possible working environment temperature of the accurate power utilization regulation and control terminal is simulated and modeled, and the self-adaptive calibration coefficient of the accurate power utilization regulation and control terminal in the full temperature range is realized on the basis of a theoretical algorithm, so that the metering error is reduced.
According to the invention, the BP neural network with adjustable learning rate is adopted to establish the temperature-error model of the related element under different working conditions, so that the temperature compensation coefficient of the accurate electricity utilization regulation and control terminal element can be established.
For convenience of description, the above system is described with the functions divided into various modules, which are described separately. Of course, the functionality of the various modules may be implemented in the same one or more software and/or hardware implementations of the invention.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the system or system embodiments are substantially similar to the method embodiments and therefore are described in a relatively simple manner, and reference may be made to some of the descriptions of the method embodiments for related points. The above-described system and system embodiments are only illustrative, wherein the units described as separate parts may or may not be physically separate, and the 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 modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. 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.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
It is further noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method for calibrating a precise power utilization regulation and control terminal is characterized by comprising the following steps:
acquiring a thermal simulation model of the accurate power utilization regulation and control terminal;
acquiring change data of error values of the accurate power utilization regulation and control terminal along with temperature under different working conditions, and recording the change data as first change data;
modifying the thermal simulation model based on the first variation data;
based on the thermal simulation model, obtaining variation data of error values of related components of the accurate power utilization regulation and control terminal along with temperature under different working conditions, and recording the variation data as second variation data;
taking the second change data as a prediction variable to construct a self-learning model, wherein the self-learning model is used for representing a mapping relation between error values and temperatures of relevant components of the accurate power utilization regulation and control terminal under different working conditions;
acquiring temperature distribution data of the accurate power utilization regulation and control terminal under different working conditions and temperature characteristics of related components;
acquiring temperature compensation coefficients of related components under various working conditions based on the mapping relation, the temperature distribution data of the accurate power utilization regulation and control terminal under different working conditions and the temperature characteristics of the related components;
and determining the temperature compensation calibration coefficient of the accurate power utilization regulation and control terminal under different working conditions based on the temperature compensation coefficient.
2. The method for calibrating the accurate power consumption regulation and control terminal according to claim 1, wherein the step of acquiring the data of the change of the error value of the accurate power consumption regulation and control terminal along with the temperature under different working conditions comprises the following steps:
the data of the error value of the accurate electricity utilization regulation and control terminal along with the change of the temperature under different voltages;
data of the change of error values of the accurate electricity utilization regulation and control terminal along with the temperature under different phase angles;
and the error value of the accurate power utilization regulation and control terminal under different currents is changed along with the temperature.
3. The accurate power consumption regulation and control terminal calibration method according to claim 1, wherein the related components comprise: a metering chip and a sampling resistor.
4. The method for calibrating the accurate power consumption regulation and control terminal according to claim 1, wherein the obtaining of the thermal simulation model of the accurate power consumption regulation and control terminal comprises:
and constructing a thermal simulation model influencing the temperature field distribution of the accurate power utilization regulation and control terminal based on the three-dimensional model of the accurate power utilization regulation and control terminal and the related component simulation assembly data of the accurate power utilization regulation and control terminal.
5. The accurate power consumption regulation and control terminal calibration method as claimed in claim 1, wherein the self-learning model is a BP neural network model with adjustable learning rate.
6. The utility model provides an accurate power consumption regulation and control terminal calibrating device which characterized in that includes:
the model building unit is used for obtaining a thermal simulation model of the accurate power utilization regulation and control terminal;
the first change data recording unit is used for acquiring change data of the error value of the accurate power utilization regulation and control terminal along with the temperature under different working conditions, and recording the change data as first change data;
a thermal simulation model modification unit configured to modify the thermal simulation model based on the first change data;
the second change data recording unit is used for acquiring change data of error values of related components of the accurate power utilization regulation and control terminal along with temperature under different working conditions, and recording the change data as second change data;
the self-learning unit is used for taking the second change data as a prediction variable to construct a self-learning model, and the self-learning model is used for representing the mapping relation between the error values and the temperatures of the related components of the accurate power utilization regulation and control terminal under different working conditions;
the temperature characteristic acquisition unit is used for acquiring temperature distribution data of the accurate power utilization regulation and control terminal and temperature characteristics of related components under different working conditions;
the first compensation coefficient analysis unit is used for acquiring the temperature compensation coefficients of the related components under various working conditions based on the mapping relation, the temperature distribution data of the accurate power utilization regulation and control terminal under different working conditions and the temperature characteristics of the related components;
and the second compensation coefficient analysis unit is used for determining the temperature compensation calibration coefficient of the accurate power utilization regulation and control terminal under different working conditions based on the temperature compensation coefficient.
7. The accurate power consumption regulation and control terminal calibration device of claim 6, wherein the first change data recording unit is specifically configured to, when obtaining change data of the error value of the accurate power consumption regulation and control terminal along with the temperature under different operating conditions:
acquiring the change data of the error value of the accurate power utilization regulating and controlling terminal along with the temperature under different voltages;
acquiring data of the change of error values of the accurate power utilization regulating and controlling terminal along with the temperature under different phase angles;
and obtaining the change data of the error value of the accurate power utilization regulation and control terminal along with the temperature under different currents.
8. The accurate power consumption regulation and control terminal calibration device of claim 6, wherein the relevant components comprise: a metering chip and a sampling resistor.
9. The calibration device for the accurate power consumption regulation and control terminal according to claim 6, wherein the model building unit, when obtaining the thermal simulation model of the accurate power consumption regulation and control terminal, is specifically configured to:
and constructing a thermal simulation model influencing the temperature field distribution of the accurate power utilization regulation and control terminal based on the three-dimensional model of the accurate power utilization regulation and control terminal and the related component simulation assembly data of the accurate power utilization regulation and control terminal.
10. The utility model provides an accurate power consumption regulation and control terminal calibration equipment which characterized in that includes:
a memory and a processor; the memory stores a program adapted for execution by the processor, the program for:
acquiring a thermal simulation model of the accurate power utilization regulation and control terminal;
acquiring change data of error values of the accurate power utilization regulation and control terminal along with temperature under different working conditions, and recording the change data as first change data;
modifying the thermal simulation model based on the first variation data;
acquiring change data of error values of related components of the accurate power utilization regulation and control terminal along with temperature under different working conditions, and recording the change data as second change data;
taking the second change data as a prediction variable to construct a self-learning model, wherein the self-learning model is used for representing a mapping relation between error values and temperatures of relevant components of the accurate power utilization regulation and control terminal under different working conditions;
acquiring temperature distribution data of the accurate power utilization regulation and control terminal under different working conditions and temperature characteristics of related components;
acquiring temperature compensation coefficients of related components under various working conditions based on the mapping relation, the temperature distribution data of the accurate power utilization regulation and control terminal under different working conditions and the temperature characteristics of the related components;
and determining the temperature compensation calibration coefficient of the accurate power utilization regulation and control terminal under different working conditions based on the temperature compensation coefficient.
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| CN116449284A (en) * | 2023-03-30 | 2023-07-18 | 宁夏隆基宁光仪表股份有限公司 | Household electricity anomaly monitoring method and intelligent ammeter thereof |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116449284A (en) * | 2023-03-30 | 2023-07-18 | 宁夏隆基宁光仪表股份有限公司 | Household electricity anomaly monitoring method and intelligent ammeter thereof |
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