Ammeter data accuracy verification method and system in dynamic environment

Abstract

The invention relates to the technical field of verification of ammeter data accuracy in a dynamic environment, in particular to an ammeter data accuracy verification method and system in a dynamic environment, and the method comprises the steps: collecting ammeter dynamic data, and carrying out the preprocessing of the ammeter dynamic data; characteristic parameters in the dynamic data of the electricity meter are extracted and compared with data of standard measurement equipment, and the accuracy of the electricity meter is verified; making a maintenance plan according to the accuracy and historical operation data of the ammeter; and automatically verifying the ammeter dynamic data through the automatic verification model, and automatically generating an ammeter dynamic data report. By collecting the collected data and historical data of the electricity meter in a dynamic environment, analyzing the measurement precision of the electricity meter and making a targeted maintenance plan, the measurement precision of the electricity meter can be effectively improved, the service life of equipment is prolonged, and the operation failure rate is reduced. The automatic verification model reduces manual intervention, improves the efficiency of data analysis and report generation, and provides a visual and comprehensive ammeter operation state reference for managers.

Description

Technical Field

[0001] The present invention relates to the field of verifying the accuracy of electric meter data in a dynamic environment, and in particular to a method and system for verifying the accuracy of electric meter data in a dynamic environment. Background Art

[0002] With the continuous expansion and complexity of modern power grids, the importance of electric energy metering technology has become increasingly prominent. Traditional electric meters are centered on static measurement and metering technology under fixed working conditions. After years of development, a relatively mature technical system has been formed. However, as the development trend of power grids gradually shifts to intelligence and dynamics, traditional technologies have shown many limitations when facing complex dynamic power consumption environments. The load characteristics in modern power grids are becoming increasingly complex. With the continuous increase in the proportion of renewable energy power generation access, the frequency and amplitude of power grid load fluctuations have increased significantly, especially dynamic conditions such as rapid load switching and frequent voltage fluctuations, which put forward higher requirements on the data collection and processing capabilities of electric meters. At the same time, electric energy substitution has gradually become an important direction of energy transformation. In this process, the dynamic characteristics of loads have increasingly stringent requirements on the accuracy of electric energy metering. These changes require electric meters to have higher dynamic data collection capabilities and accuracy verification capabilities.

[0003] Secondly, with the popularization of smart grids, the deployment of smart meters and advanced measurement infrastructure has been significantly accelerated. Through real-time monitoring and remote communication functions, smart meters not only realize the dynamic collection and transmission of electricity consumption data, but also provide a data basis for power quality management, load forecasting and analysis of power substitution potential. However, although smart meters have strong data collection capabilities, the accuracy verification system of their dynamic data has not been improved synchronously. Traditional verification technologies mostly rely on static test scenarios, which are difficult to meet the comprehensive verification requirements for metering accuracy under dynamic conditions.

[0004] In summary, the method for verifying the accuracy of meter data in a dynamic environment solves the above technical problems by combining dynamic data collection, feature parameter extraction and automated verification model. The present invention designs a complete meter data verification process in a dynamic environment, which can collect meter data in a dynamic load environment in real time, and use an automated verification module to pre-process, analyze and compare the data. It breaks through the applicability bottleneck of traditional verification technology in dynamic scenarios, and also improves operational efficiency through an automated verification process, providing a strong guarantee for the dynamic, intelligent and reliable measurement of electric energy. Summary of the invention

[0005] In view of the above-mentioned problems, the present invention is proposed.

[0006] To solve the above technical problems, the present invention provides the following technical solutions: a method for verifying the accuracy of electric meter data in a dynamic environment, comprising: collecting dynamic data of the electric meter and preprocessing the dynamic data of the electric meter; extracting characteristic parameters in the dynamic data of the electric meter and comparing them with the data of the standard measuring equipment to verify the accuracy of the electric meter; formulating a maintenance plan based on the accuracy of the electric meter and the historical operation data; automatically verifying the dynamic data of the electric meter through an automated verification model and automatically generating a dynamic data report of the electric meter.

[0007] As a preferred solution of the method for verifying the accuracy of electric meter data in a dynamic environment described in the present invention, the collection of dynamic meter data and preprocessing of the dynamic meter data include using a high-precision sensor to collect electric meter data in a dynamic power consumption environment and removing noise in the collected data through a filtering algorithm.

[0008] As a preferred scheme of the method for verifying the accuracy of electric meter data under a dynamic environment described in the present invention, wherein: the comparison with the data of the standard measuring equipment to verify the accuracy of the electric meter includes calculating the relative error between the characteristic parameters of the dynamic data of the electric meter and the data of the standard measuring equipment to verify the accuracy of the electric meter.

[0009] As a preferred solution of the method for verifying the accuracy of electric meter data in a dynamic environment described in the present invention, wherein: the maintenance plan formulated according to the accuracy of the electric meter and the historical operation data includes calibrating the low-precision electric meter according to the accuracy of the electric meter and replacing aging components and inefficient sensors.

[0010] As a preferred solution of the method for verifying the accuracy of meter data in a dynamic environment described in the present invention, the automated verification model includes synchronously collected meter data and reference data of standard measuring equipment, automatically extracting characteristic parameters, verifying the accuracy of meter data, and displaying meter data analysis results in real time.

[0011] As a preferred solution of the method for verifying the accuracy of electric meter data under a dynamic environment described in the present invention, the filtering algorithm includes receiving the dynamic data collected by the electric meter in real time and outputting a smooth signal through sliding window operation processing.

[0012] As a preferred solution of the method for verifying the accuracy of electric meter data in a dynamic environment described in the present invention, the synchronously collected electric meter data and the reference data of the standard measuring device include connecting the collection device and the standard measuring device to the same clock source to ensure time synchronization, unify the data format, enable the data of the collection device and the standard measuring device to be directly compared, and regularly perform joint calibration on the collection device and the standard measuring device.

[0013] In order to solve the above technical problems, the present invention provides the following technical solutions: A system for verifying the accuracy of electric meter data in a dynamic environment, characterized by comprising: a data acquisition module, a verification accuracy module, a device maintenance module and an automated verification module;

[0014] The data acquisition module collects the dynamic data of the electric meter and pre-processes the dynamic data of the electric meter;

[0015] The accuracy verification module extracts characteristic parameters from the dynamic data of the electric meter and compares them with the data of the standard measuring device to verify the accuracy of the electric meter;

[0016] The equipment maintenance module formulates a maintenance plan based on the meter accuracy and historical operation data;

[0017] The automatic verification module automatically verifies the dynamic data of the electric meter through the automatic verification model and automatically generates a dynamic data report of the electric meter.

[0018] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the method for verifying the accuracy of electric meter data in a dynamic environment are implemented as described above.

[0019] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of a method for verifying the accuracy of electric meter data in a dynamic environment as described above.

[0020] The beneficial effects of the present invention are as follows: through high-quality dynamic data input, the possibility of misjudgment due to data noise is significantly reduced, the accuracy of data analysis is improved, reliable input is provided for subsequent feature extraction and verification, and the reliability and stability of the entire method are ensured.

[0021] Extract key characteristic parameters from dynamic data and compare them with high-precision data provided by standard measuring equipment to determine the measurement error of the meter. This simplifies the processing of complex dynamic data, highlights key indicators, improves the efficiency of data analysis, clarifies the accuracy of the meter under actual operating conditions, helps to quickly discover potential faults or measurement deviations, and provides an automated and efficient method for meter performance testing, reducing subjective errors in manual measurement.

[0022] Generate a personalized maintenance plan by combining the meter accuracy verification results with its historical operation data. This achieves targeted and accurate meter maintenance work, avoiding over-maintenance or under-maintenance in traditional maintenance plans. By combining historical data with real-time data, the overall safety and stability of the power system operation is improved, meeting the needs of the smart grid.

[0023] Based on the automated verification model, the dynamic data of the electricity meter is quickly verified and a report is generated, which reduces manual intervention, improves the efficiency of data analysis and report generation, and provides managers with an intuitive and comprehensive reference for the operation status of the electricity meter, facilitating subsequent decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0025] Figure 1 A flowchart of a method for verifying the accuracy of electric meter data in a dynamic environment is provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0026] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0027] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0028] Example 1

[0029] Reference Figure 1 , is an embodiment of the present invention, a method for verifying the accuracy of electric meter data in a dynamic environment, comprising:

[0030] S1: Collect dynamic data of electric meters and pre-process the dynamic data of electric meters.

[0031] It should be noted that collecting dynamic data of electric meters and preprocessing the dynamic data of electric meters include using high-precision sensors to collect electric meter data under a dynamic power consumption environment and removing noise in the collected data through a filtering algorithm.

[0032] Furthermore, according to the specific needs of the electric meter, it is crucial to select suitable high-precision sensors and data acquisition equipment to achieve accurate data collection in a dynamic power consumption environment. The accuracy and stability of its measurement results directly affect the reliability of subsequent analysis and verification. Therefore, the selected sensor should have the following performance characteristics: high precision, high dynamic response speed and anti-interference ability. High-precision sensors can accurately capture subtle changes in a dynamic power consumption environment and ensure that the data recorded by the electric meter is accurate under various load fluctuation conditions, such as Figure 1 As shown in S1.

[0033] During the equipment installation phase, the data collection process can be further optimized by rationally designing the layout of sensors and data acquisition equipment. The sensors need to be accurately installed and positioned according to the physical characteristics of the meter and the dynamic operating environment to ensure that their collection range covers the main working area of ​​the meter and avoid blind areas or signal attenuation. In addition, the contact point between the sensor and the meter should be stable and the signal transmission path should be as short as possible to reduce the error accumulation caused by physical factors. The layout design also needs to consider electromagnetic shielding measures to reduce external interference, especially under industrial electricity or complex power grid conditions.

[0034] In terms of data transmission, the use of standardized interfaces or wireless transmission technology can effectively simplify device connections and significantly improve the efficiency and stability of data transmission. Standardized interfaces can achieve compatibility between multiple hardware devices and reduce the difficulty of adaptation during system integration.

[0035] Furthermore, the preprocessing of the dynamic data of the electric meter includes denoising, standardization, and normalization preprocessing operations on the collected dynamic data to eliminate invalid data caused by noise interference or equipment errors. Specifically, the real-time input signal is received through the mean filtering algorithm. Each time a new data point is input, it will participate in the calculation together with the previous data point. With the arrival of the new data point, the window will move forward, remove the oldest data point in the window, and add the latest input data point. All data points in the sliding window will be taken out and the average value will be calculated. Each calculated average value will be output immediately as a real-time signal or stored in the processing queue for subsequent steps. When the filtering algorithm detects a sudden change or excessive smoothing of the signal, it will prompt the user to adjust the size of the sliding window through an early warning mechanism. Finally, the mean filtering algorithm will output a smooth signal for use by the subsequent feature extraction module.

[0036] S2: Extract characteristic parameters from the dynamic data of the electric meter and compare them with the data of the standard measuring equipment to verify the accuracy of the electric meter.

[0037] It should be noted that verifying the accuracy of the electric meter by comparing it with the data of the standard measuring device includes calculating the relative error between the characteristic parameters of the dynamic data of the electric meter and the data of the standard measuring device to verify the accuracy of the electric meter.

[0038] Furthermore, characteristic parameters are extracted from the preprocessed dynamic data of the electric meter, including the voltage and current change rates, waveform distortion rate and voltage transient rate. The characteristic parameters are compared point by point with the data of the standard measuring equipment, the relative error is calculated, the performance of the electric meter under specific working conditions is detected, and data points with large deviations are marked.

[0039] Furthermore, the voltage or current change rate is a parameter obtained by calculating the derivative of the voltage or current over time, which reflects the rate of load change and its impact on the operation of the meter. It can clearly depict the speed of change of the load in a dynamic power consumption environment. The meter's ability to respond to these change rates can directly reflect its dynamic performance; the waveform distortion rate is an indicator for evaluating the degree of distortion of the voltage or current waveform relative to the standard sine wave, which is calculated by extracting each harmonic component through Fourier transform. It can reflect the adaptability of the meter under non-ideal power supply conditions. By monitoring the waveform distortion rate, the accuracy of the meter's measurement of the distorted waveform can be evaluated to avoid measurement errors caused by harmonics; the voltage transient point refers to the instantaneous value of the voltage that fluctuates for a short time when the load changes rapidly. These points can reflect the meter's ability to capture grid disturbances and its dynamic response performance. By recording the instantaneous fluctuation data of the voltage in dynamic operations such as load start-stop, equipment connection or removal, the meter's measurement accuracy under extreme conditions can be evaluated. The capture of transient points can help analyze the dynamic characteristics of grid operation. At the same timestamp, the measured values ​​of the characteristic parameters of the dynamic data of the electric meter are accurately matched with the reference values ​​of the standard equipment to ensure the synchronization and consistency of the comparison process, and the relative error between the measured value and the reference value is calculated. If the relative error remains within the predetermined range (for example, ±1%), it means that the performance of the electric meter under this working condition meets the requirements.

[0040] S3: Develop maintenance plans based on meter accuracy and historical operating data.

[0041] It should be noted that the maintenance plan formulated based on the meter accuracy and historical operation data includes calibrating low-precision meters and replacing aging components and inefficient sensors based on the meter accuracy.

[0042] Furthermore, based on the calculated meter accuracy and the historical operating data of the meter, and combined with the reliability assessment model, an accurate and efficient maintenance plan is formulated to ensure the continuous and efficient operation of the meter in a dynamic power consumption environment.

[0043] Furthermore, the operation time of the meter from installation to date is recorded to evaluate the aging degree of components and the overall life cycle status of the equipment, the type and frequency of faults that occur in the meter and the corresponding repair records are recorded, data on the operating environment of the meter is collected, and the accuracy of the dynamic data measured by the meter is collected. Based on the collected data, a maintenance plan for the meter is formulated, including regular calibration of the meter through high-precision standard equipment, identification of measurement drift caused by long-term operation or environmental impact, and timely correction to ensure that its measurement accuracy is within the allowable range. Through the analysis of meter data, the vulnerable components of the meter are replaced, and preventive replacement is carried out for core components that exceed the expected lifespan. Based on the results of historical data analysis, the operating environment of the meter is improved, moisture and dust prevention measures are strengthened, and a reasonable maintenance cycle is formulated. Meter calibration and key component inspection are carried out on a quarterly basis, and the cycle is adjusted dynamically according to the operating data.

[0044] S4: Automatically verify the dynamic data of the meter through the automated verification model and automatically generate a dynamic data report for the meter.

[0045] It should be noted that the automated verification model includes synchronously collected meter data and reference data from standard measuring equipment, automatic extraction of characteristic parameters, verification of meter data accuracy, and real-time display of meter data analysis results.

[0046] Furthermore, the automated model can significantly improve the efficiency and accuracy of the verification process. It includes data acquisition module, data analysis module and report generation module. The system realizes the intelligent, automated and standardized verification of electric meter performance through highly integrated data acquisition, analysis and report generation functions, combined with automated verification process and result management.

[0047] Furthermore, the data acquisition module includes, interfacing with high-precision sensors and acquisition equipment, real-time acquisition of meter data under a dynamic power consumption environment, extraction of characteristic parameters, acquisition of reference values ​​of standard measuring equipment at the same timestamp, and built-in data filtering and noise suppression algorithms to ensure the stability and accuracy of the acquisition signal, and achieve real-time sampling and stable transmission of data; the data analysis module includes, analyzing the characteristic parameters of meter data, calculating the relative error between the acquired data and the standard data, dynamically adjusting the analysis strategy according to different working conditions, and providing multi-dimensional evaluation results of meter performance; the report generation module includes, automatically organizing characteristic parameters, error analysis results and trend charts, and generating line charts, bar charts, and error distribution charts in a visual form to help users quickly understand data results.

[0048] The automated verification model automatically archives and stores the original data, analysis results and generated reports of each verification to form a complete historical record library, and classifies the database by time, equipment number and verification condition for quick retrieval and comparison. The system regularly generates comprehensive evaluation reports based on the stored verification data, including: long-term trend analysis of meter performance, statistics and predictions of key failure modes and potential problems, and suggestions for meter improvements, providing reference for subsequent performance optimization. The comprehensive report can provide reliable data support for power grid management departments and help formulate long-term maintenance and equipment upgrade plans.

[0049] Example 2

[0050] As an embodiment of the present invention, the present invention provides the following technical solution: a meter data accuracy verification system in a dynamic environment, comprising: a data acquisition module, a verification accuracy module, a device maintenance module and an automatic verification module;

[0051] The data acquisition module collects the dynamic data of the electric meter and pre-processes the dynamic data of the electric meter;

[0052] The accuracy verification module extracts characteristic parameters from the dynamic data of the electric meter and compares them with the data of the standard measuring device to verify the accuracy of the electric meter;

[0053] The equipment maintenance module formulates a maintenance plan based on the meter accuracy and historical operation data;

[0054] The automatic verification module automatically verifies the dynamic data of the electric meter through the automatic verification model and automatically generates a dynamic data report of the electric meter.

[0055] This embodiment further provides a computing device, which is applicable to a method for verifying the accuracy of electric meter data in a dynamic environment, and includes:

[0056] A memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement a method for verifying the accuracy of electric meter data in a dynamic environment as proposed in the above embodiment.

[0057] The storage medium proposed in this embodiment and the method for verifying the accuracy of electric meter data in a dynamic environment proposed in the above embodiment belong to the same inventive concept. The technical details not fully described in this embodiment can be referred to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0058] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0059] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0060] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0061] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for verifying the accuracy of electric meter data in a dynamic environment, characterized in that: include: Collect dynamic data of electric meters and pre-process the dynamic data of electric meters; Extract characteristic parameters from the dynamic data of the electric meter, compare them with the data of the standard measuring equipment, and verify the accuracy of the electric meter; Develop maintenance plans based on meter accuracy and historical operating data; The dynamic data of the electric meter is automatically verified through the automated verification model, and the dynamic data report of the electric meter is automatically generated.

2. The method for verifying the accuracy of electric meter data in a dynamic environment as claimed in claim 1, characterized in that: The collecting of dynamic data of electric meters and preprocessing of the dynamic data of electric meters include using high-precision sensors to collect the data of electric meters in a dynamic power consumption environment and removing noise in the collected data by a filtering algorithm.

3. The method for verifying the accuracy of electric meter data in a dynamic environment as claimed in claim 2, characterized in that: The comparison with the data of the standard measuring device to verify the accuracy of the electric meter includes calculating the relative error between the characteristic parameters of the dynamic data of the electric meter and the data of the standard measuring device to verify the accuracy of the electric meter.

4. The method for verifying the accuracy of electric meter data in a dynamic environment as claimed in claim 3, characterized in that: The maintenance plan formulated according to the accuracy of the electric meter and the historical operation data includes calibrating the low-precision electric meter according to the accuracy of the electric meter and replacing the aged parts and inefficient sensors.

5. The method for verifying the accuracy of electric meter data in a dynamic environment as claimed in claim 4, characterized in that: The automated verification model includes synchronously collecting meter data and reference data of standard measuring equipment, automatically extracting characteristic parameters, verifying the accuracy of meter data, and displaying meter data analysis results in real time.

6. A method for verifying the accuracy of electric meter data in a dynamic environment as claimed in claim 5, characterized in that: The filtering algorithm includes receiving dynamic data collected by the electric meter in real time and outputting a smooth signal through operation processing of a sliding window.

7. A method for verifying the accuracy of electric meter data in a dynamic environment as claimed in claim 6, characterized in that: The synchronously collected meter data and the reference data of the standard measuring device include connecting the collection device and the standard measuring device to the same clock source to ensure time synchronization, unify the data format, enable direct comparison of the data of the collection device and the standard measuring device, and regularly perform joint calibration on the collection device and the standard measuring device.

8. A system for verifying the accuracy of electric meter data in a dynamic environment using any one of claims 1 to 7, characterized in that: include: Data acquisition module, accuracy verification module, equipment maintenance module, and automated verification module; The data acquisition module collects the dynamic data of the electric meter and pre-processes the dynamic data of the electric meter; The accuracy verification module extracts characteristic parameters from the dynamic data of the electric meter and compares them with the data of the standard measuring device to verify the accuracy of the electric meter; The equipment maintenance module formulates a maintenance plan based on the meter accuracy and historical operation data; The automatic verification module automatically verifies the dynamic data of the electric meter through the automatic verification model and automatically generates a dynamic data report of the electric meter.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of a method for verifying the accuracy of electric meter data in a dynamic environment according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of a method for verifying the accuracy of electric meter data in a dynamic environment according to any one of claims 1 to 7 are implemented.

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