Method and Device for Evaluating the Consistency of Metering Accuracy of Single-Phase Smart IoT Energy Meters

Abstract

This invention discloses a method and apparatus for evaluating the consistency of metering accuracy of a single-phase smart IoT energy meter. The method includes: determining a metering unit based on the design scheme of the single-phase smart IoT energy meter, wherein the metering unit includes a voltage sampling circuit, a current sampling circuit, and a metering chip circuit; establishing a circuit simulation model corresponding to the metering unit, wherein the circuit simulation model includes a component variable parameter module; constructing a virtual sample of the metering unit using the Monte Carlo method based on preset component tolerance ranges and component center values; performing simulation analysis based on the circuit simulation model and the virtual sample of the metering unit to obtain simulated energy data; and performing a consistency evaluation of the metering accuracy of the single-phase smart IoT energy meter based on the simulated energy data. This invention can perform consistency evaluation of the metering accuracy of single-phase smart IoT energy meters, improving the accuracy of the metering accuracy consistency evaluation.

Description

Technical Field

[0001] This invention relates to the field of the Internet of Things (IoT) for power, and in particular to a method and apparatus for evaluating the consistency of metering accuracy of single-phase smart IoT energy meters. Background Technology

[0002] This section is intended to provide background or context for the embodiments of the invention set forth in the claims. The description herein is not an admission that it is prior art simply because it is included in this section.

[0003] Single-phase smart IoT energy meters are an important carrier for the construction of the "ubiquitous power Internet of Things" and will become a core link in the sensing layer of the ubiquitous power Internet of Things. As the most basic function of energy meters, the accuracy and consistency of energy metering are particularly important. While smart IoT energy meters are not yet widely used, the operation of the previous generation of smart energy meters has revealed problems such as inconsistent component selection, varying manufacturing processes, and a lack of advanced design concepts. Currently, the key characteristic parameters of smart IoT energy meters are highly dispersed, and their quality consistency is poor. The low reliability of energy meters affects users' electricity safety and the fairness of metering, which is an urgent problem to be solved.

[0004] Therefore, there is an urgent need for a consistency evaluation scheme for the metering accuracy of single-phase smart IoT energy meters that can overcome the above problems. Summary of the Invention

[0005] This invention provides a method for evaluating the consistency of metering accuracy of single-phase smart IoT energy meters, used to evaluate the consistency of metering accuracy of single-phase smart IoT energy meters and improve the accuracy of metering accuracy consistency evaluation. The method includes:

[0006] Based on the design scheme of a single-phase smart IoT energy meter, the metering unit is determined, which includes: a voltage sampling circuit, a current sampling circuit, and a metering chip circuit.

[0007] Establish a circuit simulation model corresponding to the metering unit, wherein the circuit simulation model includes a component variable parameter module;

[0008] The Monte Carlo method is used to construct virtual samples of the metrology unit based on the preset component tolerance range and component center value;

[0009] Simulation analysis is performed based on the circuit simulation model and virtual samples of the metering unit to obtain simulated electrical energy data;

[0010] Based on the simulated electrical energy data, a consistency evaluation of the metering accuracy of single-phase smart IoT energy meters is conducted.

[0011] This invention provides a device for evaluating the consistency of metering accuracy of single-phase smart IoT energy meters, used to evaluate the consistency of metering accuracy of single-phase smart IoT energy meters and improve the accuracy of the metering accuracy consistency evaluation. The device includes:

[0012] The metering unit determination module is used to determine the metering unit according to the design scheme of the single-phase smart IoT energy meter. The metering unit includes: a voltage sampling circuit, a current sampling circuit, and a metering chip circuit.

[0013] The circuit simulation model building module is used to build a circuit simulation model corresponding to the metering unit. The circuit simulation model includes a component variable parameter module.

[0014] The virtual sample construction module is used to construct virtual samples of the metrology unit using the Monte Carlo method based on the preset component tolerance range and component center value;

[0015] The simulation analysis module is used to perform simulation analysis based on the circuit simulation model and virtual samples of the metering unit to obtain simulated electrical energy data;

[0016] The metering accuracy consistency evaluation module is used to evaluate the metering accuracy consistency of single-phase smart IoT energy meters based on the simulated electrical energy data.

[0017] This invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the above-described method for evaluating the consistency of metering accuracy of single-phase smart IoT energy meters.

[0018] This invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for evaluating the consistency of metering accuracy of single-phase smart IoT energy meters.

[0019] This invention also provides a computer program product, which includes a computer program that, when executed by a processor, implements the above-described method for evaluating the consistency of metering accuracy of single-phase smart IoT energy meters.

[0020] This invention, based on the design scheme of a single-phase smart IoT energy meter, determines a metering unit, which includes a voltage sampling circuit, a current sampling circuit, and a metering chip circuit. A circuit simulation model corresponding to the metering unit is established, containing a component variable parameter module. A Monte Carlo method is used to construct a virtual sample of the metering unit based on preset component tolerance ranges and component center values. Simulation analysis is performed based on the circuit simulation model and the virtual sample to obtain simulated energy data. Based on the simulated energy data, a consistency evaluation of the metering accuracy of the single-phase smart IoT energy meter is conducted. This invention, starting from the working principle of the single-phase smart IoT energy meter, determines the metering unit according to the design scheme, and then establishes a circuit simulation model corresponding to the metering unit. The circuit simulation model includes a component variable parameter module, thus considering the parameter tolerance distribution of the components and obtaining random parameters within the tolerance range, resulting in more accurate results. Furthermore, the Monte Carlo method is used to construct virtual samples of the metering unit based on the preset component tolerance range and component center value. Then, simulation analysis is performed based on the circuit simulation model of the metering unit and the virtual sample to obtain simulated power data. Based on the simulated power data, the consistency evaluation of the metering accuracy of single-phase smart IoT power meters is carried out, which effectively improves the accuracy of the metering accuracy consistency evaluation. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. In the drawings:

[0022] Figure 1 This is a schematic diagram of the method for evaluating the consistency of metering accuracy of single-phase smart IoT energy meters in an embodiment of the present invention;

[0023] Figure 2 This is a schematic diagram of another method for evaluating the consistency of metering accuracy of a single-phase smart IoT energy meter in an embodiment of the present invention;

[0024] Figure 3 This is a schematic diagram of the simulation model of the voltage sampling circuit of the metering unit of a single-phase smart IoT energy meter in a specific embodiment of the present invention;

[0025] Figure 4 This is a schematic diagram of the simulation model of the current sampling circuit of the metering unit of a single-phase smart IoT energy meter in a specific embodiment of the present invention;

[0026] Figure 5 This is a schematic diagram of a simulation model of a single-phase smart IoT energy meter metering unit in a specific embodiment of the present invention;

[0027] Figure 6 This is a schematic diagram of the overall simulation model of the metering unit of a single-phase smart IoT energy meter in a specific embodiment of the present invention;

[0028] Figure 7 This is a schematic diagram of another method for evaluating the consistency of metering accuracy of a single-phase smart IoT energy meter in an embodiment of the present invention;

[0029] Figure 8 This is a schematic diagram of the metering error distribution of a single-phase smart IoT energy meter in a specific embodiment of the present invention;

[0030] Figure 9 This is a structural diagram of the single-phase smart IoT energy meter metering accuracy consistency evaluation device in an embodiment of the present invention;

[0031] Figure 10 This is a schematic diagram of the computer device structure according to an embodiment of the present invention. Detailed Implementation

[0032] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings. Here, the illustrative embodiments of the present invention and their descriptions are used to explain the present invention, but are not intended to limit the present invention.

[0033] To improve the accuracy of metering accuracy consistency evaluation for single-phase smart IoT energy meters, this invention provides a method for evaluating the metering accuracy consistency of single-phase smart IoT energy meters, such as... Figure 1 As shown, the method may include:

[0034] Step 101: Based on the design scheme of the single-phase smart IoT energy meter, determine the metering unit, which includes: a voltage sampling circuit, a current sampling circuit, and a metering chip circuit;

[0035] Step 102: Establish a circuit simulation model corresponding to the metering unit, wherein the circuit simulation model includes a component variable parameter module;

[0036] Step 103: Using the Monte Carlo method, construct a virtual sample of the metrology unit based on the preset component tolerance range and component center value;

[0037] Step 104: Perform simulation analysis based on the circuit simulation model and virtual sample of the metering unit to obtain simulated electrical energy data;

[0038] Step 105: Based on the simulated electrical energy data, conduct a consistency evaluation of the metering accuracy of single-phase smart IoT energy meters.

[0039] Depend on Figure 1As shown, this embodiment of the invention determines the metering unit based on the design scheme of a single-phase smart IoT energy meter. The metering unit includes a voltage sampling circuit, a current sampling circuit, and a metering chip circuit. A circuit simulation model corresponding to the metering unit is established, which includes a component variable parameter module. A Monte Carlo method is used to construct a virtual sample of the metering unit based on preset component tolerance ranges and component center values. Simulation analysis is performed based on the circuit simulation model and the virtual sample to obtain simulated energy data. Based on the simulated energy data, a consistency evaluation of the metering accuracy of the single-phase smart IoT energy meter is conducted. This embodiment of the invention starts from the working principle of the single-phase smart IoT energy meter, determines the metering unit based on the design scheme, and then establishes a circuit simulation model corresponding to the metering unit. The circuit simulation model includes a component variable parameter module, thus considering the parameter tolerance distribution of the components and obtaining random parameters within the tolerance range, resulting in more accurate results. Furthermore, the Monte Carlo method is used to construct virtual samples of the metering unit based on the preset component tolerance range and component center value. Then, simulation analysis is performed based on the circuit simulation model of the metering unit and the virtual sample to obtain simulated power data. Based on the simulated power data, the consistency evaluation of the metering accuracy of single-phase smart IoT power meters is carried out, which effectively improves the accuracy of the metering accuracy consistency evaluation.

[0040] The following is a detailed analysis of each step.

[0041] In step 101, according to the design scheme of the single-phase smart IoT energy meter, the metering unit is determined, and the metering unit includes: a voltage sampling circuit, a current sampling circuit and a metering chip circuit.

[0042] In one embodiment, the design scheme of a single-phase smart IoT energy meter is analyzed. The metering unit of the single-phase smart IoT energy meter includes a voltage sampling circuit, a current sampling circuit, and a metering chip circuit. Through the analysis of the above circuit design scheme, the key units and components affecting the metering accuracy of the single-phase smart IoT energy meter are identified.

[0043] In practical implementation, the design scheme of a single-phase smart IoT energy meter is first analyzed. A single-phase smart IoT energy meter consists of a metering module, a management module, and a communication module, where the management and communication modules do not participate in metering. The hardware circuit of the metering module can be functionally decomposed into a metering unit, a power supply unit, and a clock unit. The functions of each unit in the metering module are analyzed, and the key unit affecting the metering accuracy of the single-phase smart IoT energy meter is identified as the metering unit. The metering unit consists of a metering chip and peripheral circuits, a voltage sampling circuit, and a current sampling circuit. The metering chip used in the single-phase smart IoT energy meter can be a digital integrated chip. The basic principle is as follows: the sampled millivolt-level voltage and current signals are amplified by an amplifier and then converted to digital by an ADC sampler. The ADC sampling requires a built-in reference voltage Vref as the reference voltage. Then, a high-pass filter removes the DC component mixed in the signal and performs phase correction. The filtered digital voltage and current signals are multiplied to obtain the instantaneous power. The instantaneous power signal is then optimized for transient performance by a low-pass filter, and after energy compensation and temperature compensation, the final... The active power is input to the MCU management chip; the voltage sampling circuit consists of seven voltage divider resistors, one sampling resistor, one filter resistor, and two filter capacitors. The voltage divider resistors divide the input 220V voltage, reducing the voltage signal to the millivolt level across the sampling resistor before it is input to the metering chip for calculation. The filter resistor and filter capacitor form an anti-aliasing filter circuit to suppress signal noise; the current sampling circuit consists of a manganese copper shunt, two impedance matching resistors, and two filter capacitors. The AC current flows through the manganese copper shunt, which collects the terminal voltage value representing the current signal and then inputs the collected signal to the metering chip for subsequent calculations.

[0044] In step 102, a circuit simulation model corresponding to the metering unit is established, and the circuit simulation model includes a component variable parameter module.

[0045] In one embodiment, such as Figure 2 As shown, the circuit simulation model corresponding to the metering unit is established, including:

[0046] Step 201: Establish a resistance model and a reference voltage model that consider the tolerance range;

[0047] Step 202: Based on the resistance model and reference voltage model, establish a random number generation module, a voltage sampling circuit simulation model, a current sampling circuit simulation model, a metering chip circuit simulation model, and an AC power supply simulation model.

[0048] In one embodiment, the resistance model considering the tolerance range is established according to the following formula:

[0049] v1 = i × (R + u1)

[0050] Where v1 is the terminal voltage, i is the current flowing through the resistor, R is the nominal value of the resistor, and u1 is the tolerance range of the resistor.

[0051] Establish a reference voltage model that takes into account the tolerance range using the following formula:

[0052]

[0053] Where v2 is the voltage output to the metering chip, v0 is the voltage of the input sampling signal, and v ref u1 represents the actual value of the reference voltage, and u2 represents the tolerance range of the reference voltage.

[0054] In practical implementation, a circuit simulation model of the metering unit of the single-phase smart IoT energy meter is established in Matlab Simulink. First, a variable parameter model of the components is established. In order to establish a research model that combines efficiency and flexibility, a custom module is built using the Simscape language programming language to establish a resistance model and a reference voltage model that considers the tolerance range.

[0055] The expression for the resistance model considering the tolerance range is:

[0056] v1 = i × (R + u1)

[0057] Where v1 is the terminal voltage, i is the current flowing through the resistor, R is the nominal value of the resistor, and u1 is the tolerance range of the resistor.

[0058] The expression for the reference voltage model considering the tolerance range is:

[0059]

[0060] Where v2 is the voltage output to the metering chip, v0 is the voltage of the input sampling signal, and v ref u1 represents the actual value of the reference voltage, and u2 represents the tolerance range of the reference voltage.

[0061] Figures 3-6This document presents schematic diagrams of the voltage sampling circuit, current sampling circuit, and overall simulation model of the metering unit in a single-phase smart IoT energy meter, as well as simulation models of the metering unit and the metering unit as described in a specific embodiment of the present invention. Simulation models for the random number generation module, voltage sampling circuit, current sampling circuit, AC power supply, and metering chip circuit are established respectively. A digital filter is designed, with a high-pass filter placed in the current channel to filter out the DC component in the current signal. Once the DC signal in one channel is eliminated, multiplication will not produce a DC component. A low-pass filter is designed after the instantaneous power signal to filter noise from the waveform. Finally, the current sampling module, voltage sampling module, and metering module are combined according to the circuit schematic, and data output and observation ports are set up.

[0062] In steps 103 and 104, a virtual sample of the metering unit is constructed using the Monte Carlo method based on preset component tolerance ranges and component center values. Simulation analysis is then performed using the circuit simulation model of the metering unit and the virtual sample to obtain simulated electrical energy data.

[0063] In one embodiment, the Monte Carlo method is used to set the center values ​​of each key component in the established simulation model of the metering unit circuit of a single-phase smart IoT energy meter containing variable parameter modules, set the tolerance range in the random number generation module, set the simulation time, run the simulation model, and obtain the energy measured within the set time under the virtual sample.

[0064] In one embodiment, a preset component tolerance range is determined based on experimental analysis or the technical manuals of each component. The tolerance ranges of each key component are shown in Table 1.

[0065] Table 1

[0066]

[0067] In practical implementation, the Monte Carlo method is used to construct virtual samples of metering units based on preset component tolerance ranges and component center values. The Monte Carlo method is a computational method based on probability and statistical theory, linking the problem to be solved with a certain probability model and obtaining an approximate solution through statistical simulation or sampling. The Monte Carlo method consists of three main steps: constructing or describing the probability process; sampling from a known probability distribution; and establishing various estimators. In the established simulation model, tolerance ranges are set, and multiple simulations are performed, such as 200 simulations, to simulate the consistency of metering accuracy in batches of single-phase smart IoT energy meters.

[0068] In step 105, a consistency evaluation of the metering accuracy of single-phase smart IoT energy meters is performed based on the simulated electrical energy data.

[0069] In one embodiment, such as Figure 7 As shown, based on the simulated electrical energy data, a consistency evaluation of the metering accuracy of single-phase smart IoT energy meters is performed, including:

[0070] Step 701: Calculate the center value and standard deviation of the simulated electrical energy data;

[0071] Step 702: Determine the distribution of metering accuracy quality characteristics based on the center value and standard deviation of the simulated electrical energy data;

[0072] Step 703: Based on the distribution of the metering accuracy quality characteristics, conduct a consistency evaluation of the metering accuracy of single-phase smart IoT energy meters.

[0073] In practice, the simulated electrical energy data is analyzed, the central value and standard deviation are calculated, and histograms and probability density diagrams are plotted to obtain the distribution of metering accuracy quality characteristics of individual smart IoT energy meters in the next batch of virtual samples. For example... Figure 8 As shown, the mean value is 2748.73 J, the standard deviation is 0.4582, and the measurement error is in the range of -1.5% to 1.9%. 91.5% of the samples meet the ±1% range given by the standard.

[0074] This invention provides a method for evaluating the consistency of metering accuracy of single-phase smart IoT energy meters based on circuit simulation. First, the design scheme of the single-phase smart IoT energy meter is analyzed to identify the key modules, units, and components affecting its metering accuracy. Second, a circuit simulation model of the metering unit of the single-phase smart IoT energy meter is established, where each component's circuit simulation model is a variable parameter model. Then, the tolerance range of each key component is determined through experimental measurement or by consulting component manuals. A virtual sample of the metering unit of the single-phase smart IoT energy meter is constructed using the Monte Carlo method, and parameters such as the tolerance of each key component, solution time, and load are set in the circuit simulation model for simulation calculation. Finally, statistical analysis is performed on the data obtained from the simulation calculation to achieve a consistency evaluation of the metering accuracy of the single-phase smart IoT energy meter.

[0075] This invention analyzes the design scheme of a single-phase smart IoT energy meter to identify the key modules, units, and components affecting the metering accuracy. A simulation model of the key unit circuit identified in step one is established, where each key component model is a variable parameter model. The tolerance range of the key components is obtained through actual measurements or component manuals. Using the Monte Carlo method, virtual samples of each key component from step two are constructed in the circuit simulation, with no fewer than 200 samples. A solution time is set, and the circuit simulation is run to obtain the metered energy of each virtual sample group within the set time. The simulation results from step four are statistically analyzed, and the standard deviation and center value are calculated to achieve a quantitative evaluation of the consistency of the metering accuracy of the single-phase smart IoT energy meter.

[0076] The present invention has the following advantages:

[0077] 1. This invention starts from the working principle of single-phase smart IoT energy meters, establishes a circuit simulation model of the metering unit of single-phase smart IoT energy meters, and determines the key components of the metering unit of single-phase smart IoT energy meters. The variable parameter module takes into account the parameter tolerance distribution of the components and can generate random parameters of the components within the tolerance range, resulting in more accurate results.

[0078] 2. The method for evaluating the consistency of metering accuracy of single-phase smart IoT energy meters proposed in this invention considers the tolerance range of each key component in the design scheme of single-phase smart IoT energy meters, and uses the Monte Carlo method to construct virtual samples to realize the evaluation and analysis of the consistency of metering accuracy of batches of single-phase smart IoT energy meters. It can more intuitively reflect the quality characteristics of batches of single-phase smart IoT energy meters.

[0079] Based on the same inventive concept, this invention also provides a device for evaluating the consistency of metering accuracy of a single-phase smart IoT energy meter, as described in the following embodiments. Since the principles underlying these problems are similar to the method for evaluating the consistency of metering accuracy of a single-phase smart IoT energy meter, the implementation of the device can refer to the implementation of the method; repeated details will not be elaborated further.

[0080] Figure 9 This is a structural diagram of the single-phase smart IoT energy meter metering accuracy consistency evaluation device in an embodiment of the present invention, as shown below. Figure 9 As shown, the single-phase smart IoT energy meter metering accuracy consistency evaluation device includes:

[0081] The metering unit determination module 901 is used to determine the metering unit according to the design scheme of the single-phase smart IoT energy meter. The metering unit includes: a voltage sampling circuit, a current sampling circuit, and a metering chip circuit.

[0082] The circuit simulation model establishment module 902 is used to establish a circuit simulation model corresponding to the metering unit, and the circuit simulation model includes a component variable parameter module.

[0083] The virtual sample construction module 903 is used to construct virtual samples of the metrology unit using the Monte Carlo method based on the preset component tolerance range and component center value;

[0084] The simulation analysis module 904 is used to perform simulation analysis based on the circuit simulation model and virtual sample of the metering unit to obtain simulated electrical energy data;

[0085] The metering accuracy consistency evaluation module 905 is used to evaluate the metering accuracy consistency of single-phase smart IoT energy meters based on the simulated electrical energy data.

[0086] In one embodiment, the circuit simulation model building module 902 is further configured to:

[0087] Establish a resistance model and a reference voltage model that take into account the tolerance range;

[0088] Based on the resistance model and reference voltage model, a random number generation module, a voltage sampling circuit simulation model, a current sampling circuit simulation model, a metering chip circuit simulation model, and an AC power supply simulation model are established.

[0089] In one embodiment, the metrological accuracy consistency evaluation module 905 is further configured to:

[0090] Calculate the center value and standard deviation of the simulated electrical energy data;

[0091] The distribution of metering accuracy quality characteristics is determined based on the center value and standard deviation of the simulated electrical energy data;

[0092] Based on the aforementioned distribution of metering accuracy quality characteristics, a consistency evaluation of the metering accuracy of single-phase smart IoT energy meters is conducted.

[0093] Based on the aforementioned inventive concept, such as Figure 10 As shown, this embodiment of the invention also provides a computer device 1000, including a memory 1010, a processor 1020, and a computer program 1030 stored in the memory 1010 and executable on the processor 1020. When the processor 1020 executes the computer program 1030, it implements the above-mentioned method for evaluating the consistency of metering accuracy of single-phase smart IoT energy meters.

[0094] Based on the foregoing inventive concept, embodiments of the present invention also provide a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the above-described method for evaluating the consistency of metering accuracy of single-phase smart IoT energy meters.

[0095] This invention also provides a computer program product, which includes a computer program that, when executed by a processor, implements the above-described method for evaluating the consistency of metering accuracy of single-phase smart IoT energy meters.

[0096] This invention, based on the design scheme of a single-phase smart IoT energy meter, determines a metering unit, which includes a voltage sampling circuit, a current sampling circuit, and a metering chip circuit. A circuit simulation model corresponding to the metering unit is established, containing a component variable parameter module. A Monte Carlo method is used to construct a virtual sample of the metering unit based on preset component tolerance ranges and component center values. Simulation analysis is performed based on the circuit simulation model and the virtual sample to obtain simulated energy data. Based on the simulated energy data, a consistency evaluation of the metering accuracy of the single-phase smart IoT energy meter is conducted. This invention, starting from the working principle of the single-phase smart IoT energy meter, determines the metering unit according to the design scheme, and then establishes a circuit simulation model corresponding to the metering unit. The circuit simulation model includes a component variable parameter module, thus considering the parameter tolerance distribution of the components and obtaining random parameters within the tolerance range, resulting in more accurate results. Furthermore, the Monte Carlo method is used to construct virtual samples of the metering unit based on the preset component tolerance range and component center value. Then, simulation analysis is performed based on the circuit simulation model of the metering unit and the virtual sample to obtain simulated power data. Based on the simulated power data, the consistency evaluation of the metering accuracy of single-phase smart IoT power meters is carried out, which effectively improves the accuracy of the metering accuracy consistency evaluation.

[0097] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0098] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0099] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0100] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0101] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for evaluating the consistency of metering accuracy of a single-phase smart IoT energy meter, characterized in that, include: Based on the design scheme of a single-phase smart IoT energy meter, the metering unit is determined, which includes: a voltage sampling circuit, a current sampling circuit, and a metering chip circuit. Establish a circuit simulation model corresponding to the metering unit, wherein the circuit simulation model includes a component variable parameter module; The Monte Carlo method is used to construct virtual samples of the metrology unit based on the preset component tolerance range and component center value; Simulation analysis is performed based on the circuit simulation model and virtual samples of the metering unit to obtain simulated electrical energy data; Based on the simulated electrical energy data, a consistency evaluation of the metering accuracy of single-phase smart IoT energy meters is conducted. Establishing a circuit simulation model corresponding to the metering unit includes: Establish a resistance model and a reference voltage model that take into account the tolerance range; Based on the resistance model and the reference voltage model, establish a random number generation module, a voltage sampling circuit simulation model, a current sampling circuit simulation model, a metering chip circuit simulation model, and an AC power supply simulation model. Establish a resistance model that considers tolerance range using the following formula: v1 = i × (R + u1) Where v1 is the terminal voltage, i is the current flowing through the resistor, R is the nominal value of the resistor, and u1 is the tolerance range of the resistor. Establish a reference voltage model that takes into account the tolerance range using the following formula: Where v2 is the voltage output to the metering chip, v0 is the voltage of the input sampling signal, and v ref u1 represents the actual value of the reference voltage, and u2 represents the tolerance range of the reference voltage.

2. The method for evaluating the consistency of metering accuracy of single-phase smart IoT energy meters as described in claim 1, characterized in that, Based on the simulated electrical energy data, a consistency evaluation of the metering accuracy of single-phase smart IoT energy meters is conducted, including: Calculate the center value and standard deviation of the simulated electrical energy data; The distribution of metering accuracy quality characteristics is determined based on the center value and standard deviation of the simulated electrical energy data; Based on the aforementioned distribution of metering accuracy quality characteristics, a consistency evaluation of the metering accuracy of single-phase smart IoT energy meters is conducted.

3. A device for evaluating the consistency of metering accuracy of a single-phase smart IoT energy meter, characterized in that, include: The metering unit determination module is used to determine the metering unit according to the design scheme of the single-phase smart IoT energy meter. The metering unit includes: a voltage sampling circuit, a current sampling circuit, and a metering chip circuit. The circuit simulation model building module is used to build a circuit simulation model corresponding to the metering unit. The circuit simulation model includes a component variable parameter module. The virtual sample construction module is used to construct virtual samples of the metrology unit using the Monte Carlo method based on the preset component tolerance range and component center value; The simulation analysis module is used to perform simulation analysis based on the circuit simulation model and virtual samples of the metering unit to obtain simulated electrical energy data; The metering accuracy consistency evaluation module is used to evaluate the metering accuracy consistency of single-phase smart IoT energy meters based on the simulated electrical energy data. The circuit simulation model building module is further used for: Establish a resistance model and a reference voltage model that take into account the tolerance range; Based on the resistance model and the reference voltage model, establish a random number generation module, a voltage sampling circuit simulation model, a current sampling circuit simulation model, a metering chip circuit simulation model, and an AC power supply simulation model. Establish a resistance model that considers tolerance range using the following formula: v1 = i × (R + u1) Where v1 is the terminal voltage, i is the current flowing through the resistor, R is the nominal value of the resistor, and u1 is the tolerance range of the resistor. Establish a reference voltage model that takes into account the tolerance range using the following formula: Where v2 is the voltage output to the metering chip, v0 is the voltage of the input sampling signal, and v ref u1 represents the actual value of the reference voltage, and u2 represents the tolerance range of the reference voltage.

4. The single-phase smart IoT energy meter metering accuracy consistency evaluation device as described in claim 3, characterized in that, The metrological accuracy consistency evaluation module is further used for: Calculate the center value and standard deviation of the simulated electrical energy data; The distribution of metering accuracy quality characteristics is determined based on the center value and standard deviation of the simulated electrical energy data; Based on the aforementioned distribution of metering accuracy quality characteristics, a consistency evaluation of the metering accuracy of single-phase smart IoT energy meters is conducted.

5. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method of any one of claims 1 to 2.

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the method of any one of claims 1 to 2.

7. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the method of any one of claims 1 to 2.

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