University physics experiment electrical variable measurement system and device based on electromagnetic induction

Abstract

The invention discloses a college physics experiment electrical variable measurement system and device based on electromagnetic induction, and relates to the technical field of electrical variable measurement. Firstly, an experiment starting signal is received through the central controller, performance analysis is carried out on the experiment electrical variable measurement equipment, then calibration is carried out, the measurement precision and reliability of the equipment are improved, then magnetic field intensity analysis is carried out on the calibrated experiment electrical variable measurement equipment, and magnetic field intensity interference information of the experiment electrical variable measurement equipment is obtained. Magnetic field compensation is carried out according to the magnetic field intensity interference information of the experimental electrical variable measurement equipment, the influence of a magnetic field on a measurement result is reduced, then a university physical experiment is carried out based on the experimental electrical variable measurement equipment after magnetic field compensation, the measurement frequency of the experimental electrical variable measurement equipment is modulated synchronously, the signal processing capacity is enhanced, and the measurement accuracy is improved. And finally, experimental data are analyzed and processed in combination with the modulated measurement frequency of the experimental electrical variable measurement equipment and are displayed on a visual screen.

Description

Technical Field

[0001] The present invention relates to the technical field of measuring electrical variables, and specifically to an electrical variable measurement system and device for college physics experiments based on electromagnetic induction. Background Technique

[0002] In the field of measuring electrical variables in physics experiments, with the continuous development of the research on electromagnetic theory and experimental techniques, accurately and efficiently measuring electrical variables has become an important link in improving the quality of physics experimental teaching and cultivating students' practical abilities. Measuring electrical variables involves complex electromagnetic phenomena and diverse experimental requirements, and it is necessary to be able to accurately measure electrical variables such as voltage and current in experiments, thereby improving the accuracy of experimental data.

[0003] The prior art, such as a two-way DC power supply ripple monitoring system and method based on measuring electrical variables disclosed in the invention patent announcement with the publication number of CN118584391B. It includes: a power supply detection module that detects and captures the voltage and current signals at the output end of the two-way DC power supply through sensors, and the voltage and current signals include DC components and AC ripple components; a signal conditioning module that performs amplification, filtering, and conversion processing on the signals output by the sensors through a signal conditioning circuit; a data analysis module that executes a digital signal processing algorithm DSP on the data output by the signal conditioning circuit to calculate the coefficients, amplitudes, and frequencies of the ripple; and an alarm module that performs alarm processing on the ripple through a threshold algorithm.

[0004] The prior art, such as a driving motor stall detection system and detection method based on electrical variables disclosed in the invention patent announcement with the publication number of CN116990683B, relates to the field of measuring electrical variables. Among them, the detection system includes: an electrical variable prediction module for obtaining the control parameters of the driving motor from the controller of the driving motor, obtaining relevant information of the driven load, and predicting electrical variables through an electrical variable prediction model; an electrical variable acquisition module for acquiring the electrical variables of the driving motor; a stall prediction module for determining the first stall possibility based on the predicted electrical variables and the electrical variables of the driving motor; a reference information acquisition module for acquiring auxiliary judgment information; and a stall detection module for determining the second stall possibility based on the auxiliary judgment information, the predicted electrical variables, and the electrical variables of the driving motor when the first stall possibility is greater than a preset stall possibility threshold, having the advantage of improving the accuracy of driving motor stall detection.

[0005] Combining the above solutions, it is found that in the current field of electrical variable measurement technology, electrical parameters are usually only analyzed. However, in the actual measurement process, the measurement results are easily affected by external magnetic fields. Analyzing only the electricity will result in inaccurate measurements, which not only affects the reliability and accuracy of experimental results, but also reduces the repeatability and comparability of experimental data, affecting the purpose and effect of experimental teaching. In addition, since magnetic field changes may interfere with sensors or measurement circuits, it may also cause long-term drift and calibration failure of measurement instruments, increasing the maintenance cost of experimental equipment. Summary of the Invention

[0006] Aiming at the deficiencies of the prior art, the present invention provides an electrical variable measurement system and device for college physics experiments based on electromagnetic induction, which can effectively solve the problems involved in the above background technology.

[0007] To achieve the above objectives, the present invention is realized through the following technical solutions: An electrical variable measurement system for college physics experiments based on electromagnetic induction includes an experimental device calibration module, which is used to receive an experimental start signal through a central controller, analyze the performance of the experimental electrical variable measurement device, and then calibrate the experimental electrical variable measurement device.

[0008] An interference factor analysis module, which is used to analyze the magnetic field intensity of the calibrated experimental electrical variable measurement device to obtain the magnetic field intensity interference information of the experimental electrical variable measurement device, and perform magnetic field compensation according to the magnetic field intensity interference information of the experimental electrical variable measurement device.

[0009] A measurement frequency modulation module, which is used to conduct college physics experiments based on the experimental electrical variable measurement device after magnetic field compensation, and synchronously modulate the measurement frequency of the experimental electrical variable measurement device.

[0010] An experimental data processing module, which is used to measure experimental data based on the modulated experimental electrical variable measurement device and display the experimental data on a visualization screen.

[0011] Furthermore, the process of analyzing the performance of the experimental electrical variable measurement device is as follows: Analyzing the performance of the experimental electrical variable measurement device to obtain the basic parameters of the experimental electrical variable measurement device. The basic parameters of the experimental electrical variable measurement device include the zero offset coefficient, actual full-scale output value, and frequency response coefficient of the experimental electrical variable measurement device.

[0012] Processing based on the basic parameters of the experimental electrical variable measurement device to obtain a performance deviation evaluation value of the experimental electrical variable measurement device. The performance deviation evaluation value of the experimental electrical variable measurement device is used to comprehensively quantify the performance deviation of the experimental electrical variable measurement device.

[0013] Further, the experimental electrical variable measurement device is calibrated. The specific process is as follows: match the performance deviation evaluation value of the experimental electrical variable measurement device with the experimental electrical variable measurement device calibration parameter adjustment values corresponding to each performance deviation evaluation value interval stored in the electrical variable measurement database, and count the experimental electrical variable measurement device calibration parameter adjustment values corresponding to the interval where the performance deviation evaluation value of the experimental electrical variable measurement device is located, which is denoted as the experimental electrical variable measurement device calibration parameter adjustment value.

[0014] Add the experimental electrical variable measurement device calibration parameter adjustment value to the current experimental electrical variable measurement device calibration parameter to obtain the experimental electrical variable measurement device calibration parameter target execution value, and adjust the experimental electrical variable measurement device calibration parameter up to the experimental electrical variable measurement device calibration parameter target execution value for calibration.

[0015] Further, the magnetic field strength of the calibrated experimental electrical variable measurement device is analyzed. The specific analysis process is as follows: analyze the magnetic field strength of the calibrated experimental electrical variable measurement device to obtain the magnetic field strength interference data of the experimental electrical variable measurement device. The magnetic field strength interference data of the experimental electrical variable measurement device includes the average external magnetic field strength of the experimental electrical variable measurement device within a preset monitoring time period, the number of pulse interferences, the electrical deviation coefficient, and the hysteresis loss.

[0016] Comprehensively analyze the magnetic field strength interference data of the experimental electrical variable measurement device to obtain the magnetic field strength interference evaluation value of the experimental electrical variable measurement device. The magnetic field strength interference evaluation value of the experimental electrical variable measurement device is used to comprehensively quantify the influence degree of the environmental magnetic field interference of the experimental electrical variable measurement device on the measurement result.

[0017] Further, the process of obtaining the magnetic field strength interference information of the experimental electrical variable measurement device is as follows: import the magnetic field strength interference evaluation value of the experimental electrical variable measurement device into the interference factor analysis model to obtain the magnetic field strength interference information of the experimental electrical variable measurement device.

[0018] Mark the magnetic field strength interference evaluation value of the experimental electrical variable measurement device as R.

[0019] Statistically analyze the first magnetic field strength interference evaluation threshold and the second magnetic field strength interference evaluation threshold in the interference factor analysis model, and mark them respectively as

[0020] After being processed by the interference factor analysis model, if then mark the magnetic field strength interference information of the experimental electrical variable measurement device as high magnetic field strength interference.

[0021] If then mark the magnetic field strength interference information of the experimental electrical variable measurement device as low magnetic field strength interference.

[0022] If mark the magnetic field strength interference information of the experimental electrical variable measurement device as normal magnetic field strength interference.

[0023] Furthermore, the magnetic field compensation based on the magnetic field strength interference information of the experimental electrical variable measurement device is as follows: extract the magnetic field strength interference information of the experimental electrical variable measurement device. If the magnetic field strength interference information of the experimental electrical variable measurement device is high magnetic field strength interference, adjust the cut-off frequency of the digital filter. If the magnetic field strength interference information of the experimental electrical variable measurement device is low magnetic field strength interference, adjust the signal amplitude. If the magnetic field strength interference information of the experimental electrical variable measurement device is normal magnetic field strength interference, continue to configure the experimental electrical variable measurement device with the current cut-off frequency and signal amplitude of the digital filter.

[0024] Furthermore, the measurement frequency of the experimental electrical variable measurement device is modulated synchronously, and the specific process is as follows: based on the magnetic field strength interference evaluation value of the experimental electrical variable measurement device, statistically obtain the average value of the magnetic field strength interference evaluation of the experimental electrical variable measurement device, and match the magnetic field strength interference influence factor according to the average value of the magnetic field strength interference evaluation of the experimental electrical variable measurement device.

[0025] Conduct a college physics experiment based on the experimental electrical variable measurement device after magnetic field compensation, and statistically obtain the measurement data of the experimental electrical variable measurement device. The measurement data of the experimental electrical variable measurement device includes the measurement data deviation coefficient, measurement signal fluctuation coefficient, data measurement average response duration, and harmonic distortion times of the experimental electrical variable measurement device within the preset monitoring time period.

[0026] Process the measurement data of the experimental electrical variable measurement device to obtain the basic evaluation value of the measurement data of the experimental electrical variable measurement device, and the basic evaluation value of the measurement data of the experimental electrical variable measurement device is used to comprehensively quantify the measurement data quality of the experimental electrical variable measurement device.

[0027] According to the basic evaluation value of the measurement data of the experimental electrical variable measurement device, combined with the magnetic field strength interference influence factor, comprehensively analyze to obtain the comprehensive evaluation value of the basic measurement performance of the experimental electrical variable measurement device, and the comprehensive evaluation value of the basic measurement performance of the experimental electrical variable measurement device is used to comprehensively quantify the basic measurement performance of the experimental electrical variable measurement device.

[0028] Modulate the measurement frequency of the experimental electrical variable measurement device based on the comprehensive evaluation value of the basic measurement performance of the experimental electrical variable measurement device.

[0029] Further, modulating the measurement frequency of the experimental electrical variable measurement device based on the comprehensive evaluation value of the measurement data of the experimental electrical variable measurement device, the specific process is as follows: From the electrical variable measurement database, find the comprehensive evaluation reference value of the measurement data whose absolute value of the difference from the comprehensive evaluation value of the measurement data meets the preset difference condition, and obtain the measurement frequency corresponding to the found comprehensive evaluation reference value of the measurement data as the target measurement frequency, and adjust the measurement frequency of the experimental electrical variable measurement device to the target measurement frequency for modulation.

[0030] Further, the specific analysis conditions for the basic evaluation value of the measurement data of the experimental electrical variable measurement device are as follows:

[0031] In the formula, α represents the basic evaluation value of the measurement data of the experimental electrical variable measurement device, B1 represents the measurement data deviation coefficient of the experimental electrical variable measurement device, ω1 represents the measurement data evaluation weight factor corresponding to the set measurement data deviation coefficient, B2 represents the measurement signal fluctuation coefficient of the experimental electrical variable measurement device, ω2 represents the measurement data evaluation weight factor corresponding to the set measurement signal fluctuation coefficient, B3 represents the average response duration of data measurement of the experimental electrical variable measurement device, ΔB3 represents the reference data measurement response duration set, ω3 represents the measurement data evaluation weight factor corresponding to the set data measurement response duration, B4 represents the number of harmonic distortions of the experimental electrical variable measurement device, ω4 represents the measurement data evaluation weight factor corresponding to the set single harmonic distortion, and e represents the natural constant.

[0032] The second aspect of the present invention provides an electrical variable measurement device for college physics experiments based on electromagnetic induction, further including: a processor, and a memory and a network interface connected to the processor: the network interface is connected to the non-volatile memory in the server: when running, the processor retrieves a computer program from the non-volatile memory through the network interface, and runs the computer program through the memory to execute the above-mentioned electrical variable measurement system for college physics experiments based on electromagnetic induction.

[0033] The present invention has the following beneficial effects:

[0034] (1) The present invention provides an electrical variable measurement system for college physics experiments based on electromagnetic induction. First, the performance of the experimental electrical variable measurement device is analyzed, and then calibration is carried out, which can improve the measurement accuracy. Then, magnetic field compensation is carried out according to the magnetic field intensity interference information, which can reduce the influence of the external magnetic field on the measurement result. Furthermore, the measurement frequency is modulated synchronously, optimizing the signal transmission and reception. Finally, the experimental data is analyzed and processed and displayed on the visualization screen, improving the efficiency of the experiment.

[0035] (2) By analyzing the performance of the experimental electrical variable measurement device, the present invention calibrates the experimental electrical variable measurement device, improving the accuracy and reliability of experimental data, ensuring that potential measurement deviations can be identified and corrected at the initial stage of the experiment, thereby reducing systematic errors in subsequent experiments. This not only improves the performance of the measurement device but also enables timely detection of device aging or wear problems, extending the service life of the measurement device.

[0036] (3) By performing magnetic field compensation based on the magnetic field intensity interference information of the experimental electrical variable measurement device, the present invention significantly improves the quality of experimental data through magnetic field compensation, making the experimental results more valid. The interference factor analysis and magnetic field compensation technology provide a dynamic and real-time error correction mechanism for the experimental electrical variable measurement device, improving the device's ability to maintain high-performance measurement under different magnetic field conditions.

[0037] (4) By conducting a college physics experiment using the experimental electrical variable measurement device after magnetic field compensation and synchronously modulating the measurement frequency of the experimental electrical variable measurement device, the present invention improves the anti-interference ability of the measurement signal, ensuring accurate measurement data can still be obtained in a complex electromagnetic environment. By adjusting the measurement frequency, signal transmission can be optimized, thereby enhancing the stability and clarity of the signal. Frequency modulation can also flexibly adjust the measurement speed according to experimental requirements, making the experimental process more efficient.

[0038] Of course, it is not necessary for any product implementing the present invention to achieve all the above-mentioned advantages simultaneously. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a schematic diagram of the connection of the system modules of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0040] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0041] Please refer to Figure 1 As shown, in the first aspect of the embodiments of the present invention, a technical solution is provided: a college physics experiment electrical variable measurement system based on electromagnetic induction, including an experimental device calibration module for receiving an experimental start signal through a central controller, analyzing the performance of the experimental electrical variable measurement device, and then calibrating the experimental electrical variable measurement device.

[0042] It should be noted that the experimental electrical variable measurement device refers to an instrument or device used to measure electrical variables, which usually include voltage, current, resistance, inductance, and capacitance. The experimental electrical variable measurement device includes digital multimeters, voltmeters, ammeters, and ohmmeters.

[0043] The interference factor analysis module is used to analyze the magnetic field strength of the calibrated experimental electrical variable measurement device to obtain the magnetic field strength interference information of the experimental electrical variable measurement device, and perform magnetic field compensation according to the magnetic field strength interference information of the experimental electrical variable measurement device.

[0044] The measurement frequency modulation module is used to perform a college physics experiment based on the experimental electrical variable measurement device after magnetic field compensation, and synchronously modulate the measurement frequency of the experimental electrical variable measurement device.

[0045] The experimental data processing module is used to measure experimental data based on the modulated experimental electrical variable measurement device and display the experimental data on a visualization screen.

[0046] Specifically, the performance analysis of the experimental electrical variable measurement device is carried out as follows: The basic parameters of the experimental electrical variable measurement device are obtained through the performance analysis of the experimental electrical variable measurement device. The basic parameters of the experimental electrical variable measurement device include the zero offset coefficient, the actual full-scale output value, and the frequency response coefficient of the experimental electrical variable measurement device.

[0047] It should be noted that the zero offset coefficient refers to the degree of deviation between the output of the measurement device and the ideal zero output in the absence of an input signal (i.e., zero input). The output voltage of the measurement device without an input signal can be measured by a digital multimeter (DMM). The value obtained by removing the unit from the absolute value of the difference between the measured output voltage and the ideal zero output voltage is used as the zero offset coefficient. The actual full-scale output value refers to the actual output value provided by the measurement device under a full-scale input signal. A standard signal generator can be used to provide a full-scale input signal, and the actual full-scale output value can be measured with a digital multimeter. The frequency response coefficient represents the degree of change in the amplitude of the output signal of the device at a specific frequency. The amplitude of the input signal of the device and the amplitude of the output signal of the device can be measured using a signal generator, and the ratio of the amplitude of the output signal of the device to the amplitude of the input signal of the device is recorded as the frequency response coefficient.

[0048] Based on the basic parameters of the experimental electrical variable measurement device, the performance deviation evaluation value of the experimental electrical variable measurement device is obtained. The performance deviation evaluation value of the experimental electrical variable measurement device is used to comprehensively quantify the performance deviation of the experimental electrical variable measurement device.

[0049] In this embodiment, the performance deviation evaluation value of the experimental electrical variable measurement device can be obtained through the following analysis method. The specific analysis conditions are as follows:

[0050]

[0051] In the formula, τ represents the performance deviation evaluation value of the experimental electrical variable measurement device, V1 represents the zero-point offset coefficient of the experimental electrical variable measurement device, θ1 represents the performance deviation evaluation factor corresponding to the set zero-point offset coefficient, V2 represents the actual full-scale output value of the experimental electrical variable measurement device, ΔV2 represents the set standard full-scale output value, θ2 represents the performance deviation evaluation factor corresponding to the set full-scale output value, V3 represents the frequency response coefficient of the experimental electrical variable measurement device, and θ3 represents the performance deviation evaluation factor corresponding to the set frequency response coefficient.

[0052] It should be added that in this embodiment, the performance deviation evaluation factors corresponding to the preset zero-point offset coefficient, the full-scale output value, and the frequency response coefficient are obtained from the electrical variable measurement database.

[0053] It should be explained that the performance deviation evaluation factors corresponding to the zero-point offset coefficient, the full-scale output value, and the frequency response coefficient are respectively used to adjust the importance of the zero-point offset coefficient, the actual full-scale output value, and the frequency response coefficient of the experimental electrical variable measurement device in the process of analyzing the performance deviation evaluation value of the experimental electrical variable measurement device. For example, there is a preset mapping relationship between the basic parameters of the experimental electrical variable measurement device and the corresponding performance deviation evaluation factors in the electrical variable measurement database. Through the preset mapping relationship, the performance deviation evaluation factors corresponding to the real-time basic parameters of the experimental electrical variable measurement device can be matched. The zero-point offset coefficient, the actual full-scale output value, and the frequency response coefficient of the experimental electrical variable measurement device are respectively matched with the preset mapping relationship to obtain the performance deviation evaluation factors corresponding to the zero-point offset coefficient, the full-scale output value, and the frequency response coefficient.

[0054] In this implementation scheme, there is a correlation among the zero-point offset coefficient, the actual full-scale output value, and the frequency response coefficient of the experimental electrical variable measurement device, and they do not exist independently. For example, the zero-point offset coefficient of the device will affect the actual full-scale output value. If the zero-point offset is large, the measurement result of the actual full-scale output value will also deviate, thus affecting the measurement accuracy. The non-ideal characteristics of the frequency response coefficient may cause the actual full-scale output value output by the device to be inconsistent with the theoretical value. By comprehensively analyzing the performance deviation evaluation value of the experimental electrical variable measurement device, accurate calibration can be carried out to improve the measurement accuracy of the device.

[0055] Specifically, further calibrate the experimental electrical variable measurement device. The specific process is as follows: Match the performance deviation evaluation value of the experimental electrical variable measurement device with the adjustment values of the calibration parameters of the experimental electrical variable measurement device corresponding to each performance deviation evaluation value interval stored in the electrical variable measurement database, and count the adjustment values of the calibration parameters of the experimental electrical variable measurement device corresponding to the interval where the performance deviation evaluation value of the experimental electrical variable measurement device is located, which is denoted as the adjustment value of the calibration parameters of the experimental electrical variable measurement device.

[0056] Add the adjustment value of the calibration parameters of the experimental electrical variable measurement device to the current calibration parameters of the experimental electrical variable measurement device to obtain the target execution value of the calibration parameters of the experimental electrical variable measurement device, and adjust the calibration parameters of the experimental electrical variable measurement device up to the target execution value of the calibration parameters of the experimental electrical variable measurement device for calibration.

[0057] It should be noted that the calibration parameters of the experimental electrical variable measurement device include the gain calibration value and the offset calibration value. The adjustment values of the calibration parameters of the experimental electrical variable measurement device include the gain calibration adjustment amplitude value and the offset calibration adjustment amplitude value. The analysis of the basic parameters of the experimental electrical variable measurement device can reflect the difference between the actual working state and the ideal working state of the device. If the performance deviation evaluation value of the experimental electrical variable measurement device exceeds the predetermined range and subsequent monitoring is carried out with the original default calibration parameters of the experimental electrical variable measurement device, it may lead to an increase in the systematic error of the measurement result and a decrease in the credibility of the experimental data. Therefore, it is necessary to calibrate the experimental electrical variable measurement device in combination with the adjustment values of the calibration parameters of the experimental electrical variable measurement device. The larger the performance deviation evaluation value of the experimental electrical variable measurement device, the more obvious the performance deviation of the device, and the larger the adjustment value of the calibration parameters of the experimental electrical variable measurement device obtained by matching. The gain calibration value ensures that the measurement device can accurately amplify the input signal, and at the same time, it is necessary to adjust the offset calibration value to eliminate the deviation of the output signal of the measurement device when there is no input signal. The target execution value of the calibration parameters of the experimental electrical variable measurement device refers to the adjustment target value of the calibration parameters of the experimental electrical variable measurement device.

[0058] It should be explained that adding the adjustment value of the calibration parameters of the experimental electrical variable measurement device to the current calibration parameters of the experimental electrical variable measurement device to obtain the target execution value of the calibration parameters of the experimental electrical variable measurement device. The specific process is as follows: Add the gain calibration adjustment amplitude value to the current gain calibration value to obtain the target execution value of the gain calibration. Add the offset calibration adjustment amplitude value to the current offset calibration value to obtain the target execution value of the offset calibration. For example, use a calibration instrument to adjust the gain calibration value of the experimental electrical variable measurement device to the target execution value of the gain calibration.

[0059] Specifically, magnetic field strength analysis is performed on the calibrated experimental electrical variable measurement device. The specific analysis process is as follows: Magnetic field strength interference data of the experimental electrical variable measurement device is obtained through magnetic field strength analysis of the calibrated experimental electrical variable measurement device. The magnetic field strength interference data of the experimental electrical variable measurement device includes the average external magnetic field strength, the number of pulse interferences, the electrical deviation coefficient, and the hysteresis loss of the experimental electrical variable measurement device within a preset monitoring time period.

[0060] It should be noted that the average external magnetic field strength refers to the value obtained by adding multiple measurements of the external magnetic field strength within a preset monitoring time period and then dividing by the number of measurements. The external magnetic field strength can be measured by a Hall sensor. The number of pulse interferences refers to the number of unexpected pulse interferences of the experimental electrical variable measurement device caused by external factors during the measurement process. Usually, a counter or software analysis is used to count the number of pulse interferences within a preset monitoring time period. The electrical deviation coefficient is the proportion of measurement deviation caused by electrical factors (such as voltage fluctuations). A voltmeter and an ammeter are used to measure the actual electrical parameters. The ratio of the absolute value of the difference between the actual electrical parameters and the standard electrical parameters to the standard electrical parameters is recorded as the electrical deviation value. The average value of each electrical deviation value is taken as the electrical deviation coefficient. The actual electrical parameters include voltage and current. For example, the ratio of the absolute value of the difference between the voltage and the standard voltage to the standard voltage is recorded as the voltage deviation value, and the ratio of the absolute value of the difference between the current and the standard current to the standard current is recorded as the current deviation value. The average value of the voltage deviation value and the current deviation value is taken as the electrical deviation coefficient. The hysteresis loss represents the energy loss caused by the hysteresis phenomenon. Hysteresis refers to the energy loss generated when the magnetic response inside the material lags behind the change of the external magnetic field during the magnetic field change process. The energy loss caused by hysteresis within a preset monitoring time period can be measured by a power meter.

[0061] Comprehensive analysis is performed on the magnetic field strength interference data of the experimental electrical variable measurement device to obtain the magnetic field strength interference evaluation value of the experimental electrical variable measurement device. The magnetic field strength interference evaluation value of the experimental electrical variable measurement device is used to comprehensively quantify the influence degree of the environmental magnetic field interference of the experimental electrical variable measurement device on the measurement result.

[0062] In this embodiment, the magnetic field strength interference evaluation value of the experimental electrical variable measurement device can be obtained through the following analysis method. The specific analysis conditions are as follows:

[0063]

[0064] In the formula, R represents the evaluation value of the magnetic field strength interference of the experimental electrical variable measurement device, G1 represents the average value of the external magnetic field strength of the experimental electrical variable measurement device, ΔG1 represents the set critical value of the external magnetic field strength, μ1 represents the interference evaluation factor corresponding to the set external magnetic field strength value, G2 represents the number of occurrences of pulse interference of the experimental electrical variable measurement device, μ2 represents the interference evaluation factor corresponding to the occurrence of a single pulse interference, G3 represents the electrical deviation coefficient of the experimental electrical variable measurement device, μ3 represents the interference evaluation factor corresponding to the set electrical deviation coefficient, G4 represents the hysteresis loss of the experimental electrical variable measurement device, and μ4 represents the interference evaluation factor corresponding to the set hysteresis loss, and e represents the natural constant.

[0065] It should be added that in this embodiment, the interference evaluation factor corresponding to the preset external magnetic field strength value, the interference evaluation factor corresponding to the occurrence of a single pulse interference, the interference evaluation factor corresponding to the electrical deviation coefficient, and the interference evaluation factor corresponding to the hysteresis loss are obtained from the electrical variable measurement database.

[0066] It should be explained that the interference evaluation factors corresponding to the external magnetic field strength value, the occurrence of a single pulse interference, the electrical deviation coefficient, and the hysteresis loss are used to adjust the importance of the average value of the external magnetic field strength, the number of occurrences of pulse interference, the electrical deviation coefficient, and the hysteresis loss of the experimental electrical variable measurement device in the process of analyzing the evaluation value of the magnetic field strength interference of the experimental electrical variable measurement device. For example, there is a preset mapping relationship between the magnetic field strength interference data of the experimental electrical variable measurement device and the corresponding interference evaluation factor in the electrical variable measurement database. Through the preset mapping relationship, the interference evaluation factor corresponding to the real-time magnetic field strength interference data of the experimental electrical variable measurement device can be matched. The average value of the external magnetic field strength, the number of occurrences of pulse interference, the electrical deviation coefficient, and the hysteresis loss of the experimental electrical variable measurement device are respectively matched with the preset mapping relationship to obtain the interference evaluation factors corresponding to the external magnetic field strength value, the occurrence of a single pulse interference, the electrical deviation coefficient, and the hysteresis loss.

[0067] In this implementation scheme, there is a correlation among the average value of the external magnetic field intensity, the number of occurrences of pulse interference, the electrical deviation coefficient, and the hysteresis loss of the experimental electrical variable measurement device, and they do not exist independently. For example, the fluctuation of the average value of the external magnetic field intensity will directly affect the generation of pulse interference. Under a high average value of the external magnetic field intensity, the current and voltage will change, and the number of occurrences of pulse interference may increase, resulting in unstable measurement signals or increased errors. Because the interference signal may cause the measurement result to deviate from the true value and reduce the accuracy of the device. Therefore, an increase in the number of occurrences of pulse interference usually leads to an increase in the electrical deviation coefficient. An increase in hysteresis loss will affect the measured electrical signal, thereby leading to an increase in the electrical deviation coefficient. By comprehensively analyzing, the magnetic field intensity interference evaluation value of the experimental electrical variable measurement device can be obtained, which can accurately predict the stability, measurement accuracy, and energy efficiency of the device, and further reduce the impact of magnetic field intensity fluctuations on measurement data.

[0068] Specifically, to obtain the magnetic field intensity interference information of the experimental electrical variable measurement device, the specific process is as follows: Import the magnetic field intensity interference evaluation value of the experimental electrical variable measurement device into the interference factor analysis model to obtain the magnetic field intensity interference information of the experimental electrical variable measurement device.

[0069] It should be noted that the mathematical formula of the interference factor analysis model is:

[0070]

[0071] In the formula, M represents the magnetic field intensity interference information of the experimental electrical variable measurement device, M1 represents high magnetic field intensity interference, M2 represents low magnetic field intensity interference, and M3 represents normal magnetic field intensity interference.

[0072] Mark the magnetic field intensity interference evaluation value of the experimental electrical variable measurement device as R.

[0073] Statistically analyze the first threshold and the second threshold of the magnetic field intensity interference evaluation in the interference factor analysis model, and mark them respectively as

[0074] After being processed by the interference factor analysis model, if then mark the magnetic field intensity interference information of the experimental electrical variable measurement device as high magnetic field intensity interference.

[0075] If then mark the magnetic field intensity interference information of the experimental electrical variable measurement device as low magnetic field intensity interference.

[0076] If then mark the magnetic field intensity interference information of the experimental electrical variable measurement device as normal magnetic field intensity interference.

[0077] Specifically, magnetic field compensation is performed according to the magnetic field strength interference information of the experimental electrical variable measurement device. The specific process is as follows: extract the magnetic field strength interference information of the experimental electrical variable measurement device. If the magnetic field strength interference information of the experimental electrical variable measurement device is high magnetic field strength interference, then adjust the cut-off frequency of the digital filter. If the magnetic field strength interference information of the experimental electrical variable measurement device is low magnetic field strength interference, then adjust the signal amplitude. If the magnetic field strength interference information of the experimental electrical variable measurement device is normal magnetic field strength interference, then continue to configure the experimental electrical variable measurement device with the current cut-off frequency and signal amplitude of the digital filter.

[0078] It should be explained that the process of adjusting the cut-off frequency of the digital filter is as follows: add the current cut-off frequency of the digital filter to the set cut-off frequency increment value to obtain the target cut-off frequency of the digital filter, and increase the cut-off frequency of the digital filter to the target cut-off frequency. By increasing the cut-off frequency of the digital filter, high-frequency noise can be more effectively filtered out, thereby protecting the measurement signal from interference. High-frequency noise is located in a higher frequency range, and increasing the cut-off frequency allows the filter to better suppress the noise.

[0079] It should be explained that the process of adjusting the signal amplitude is as follows: add the current signal amplitude to the set signal amplitude increment value to obtain the target signal amplitude, and increase the signal amplitude to the target signal amplitude. By increasing the signal amplitude, it can be ensured that even when the signal is slightly interfered, the measurement device can receive a strong enough signal for accurate measurement. Adjusting the signal amplitude can compensate for the signal attenuation caused by low magnetic field strength interference, ensure that the intensity of the measurement signal is sufficient, thereby improving the signal-to-noise ratio and making the measurement result more accurate. Different compensation measures are taken according to the interference type of the magnetic field strength interference information of the experimental electrical variable measurement device in order to effectively improve the measurement accuracy and ensure the reliability of the data. When the magnetic field strength interference information of the experimental electrical variable measurement device is high magnetic field strength interference, it means that there is high-frequency noise or external strong electromagnetic interference. This kind of noise will affect the quality of the measurement signal. At this time, by adjusting the cut-off frequency of the digital filter, high-frequency noise can be effectively filtered out because increasing the cut-off frequency enables the filter to better suppress the high-frequency components and avoid affecting the interference signal processing process. In contrast, when the magnetic field strength interference information of the experimental electrical variable measurement device is low magnetic field strength interference, the interference is manifested as signal attenuation or weakening. This situation is often due to the weakening of the measurement signal caused by insufficient magnetic field strength. At this time, by adjusting the signal amplitude, this attenuation can be compensated, ensuring that the signal intensity is sufficient, further improving the signal-to-noise ratio, and enabling the measurement device to accurately capture a strong enough signal. Therefore, high magnetic field strength interference mainly suppresses noise by adjusting the frequency of the filter, while low magnetic field strength interference ensures signal clarity by enhancing the signal amplitude.

[0080] It should be noted that in this embodiment, after magnetic field compensation, the magnetic field intensity interference data of the experimental electrical variable measurement device will be continuously analyzed, and then continuous magnetic field compensation will be carried out until the magnetic field intensity interference information of the experimental electrical variable measurement device obtained by analysis is normal magnetic field intensity interference.

[0081] Specifically, the measurement frequency of the experimental electrical variable measurement device is modulated synchronously. The specific process is as follows: Based on the magnetic field intensity interference evaluation value of the experimental electrical variable measurement device, the average value of the magnetic field intensity interference evaluation of the experimental electrical variable measurement device is statistically obtained, and the magnetic field intensity interference influence factor is matched according to the average value of the magnetic field intensity interference evaluation of the experimental electrical variable measurement device.

[0082] It should be added that the average value of the magnetic field intensity interference evaluation of the experimental electrical variable measurement device is matched with the magnetic field intensity interference influence factors corresponding to the average value intervals of the magnetic field intensity interference evaluations stored in the electrical variable measurement database, and the magnetic field intensity interference influence factor corresponding to the interval where the average value of the magnetic field intensity interference evaluation of the experimental electrical variable measurement device is located is statistically obtained, denoted as the magnetic field intensity interference influence factor. The greater the average value of the magnetic field intensity interference evaluation of the experimental electrical variable measurement device, the greater the degree of magnetic field interference, and the greater the impact on the subsequent measurement data quality evaluation. Therefore, the larger the matched magnetic field intensity interference influence factor.

[0083] Based on the experimental electrical variable measurement device after magnetic field compensation, a college physics experiment is carried out, and the measurement data of the experimental electrical variable measurement device is statistically obtained. The measurement data of the experimental electrical variable measurement device includes the measurement data deviation coefficient, measurement signal fluctuation coefficient, data measurement average response duration, and harmonic distortion number of the experimental electrical variable measurement device within a preset monitoring time period.

[0084] It should be noted that the measurement data deviation coefficient represents the degree of deviation between the measurement result of the experimental electrical variable measurement device and the reference standard value, reflecting the systematic error generated by the device during the measurement process. The actual measurement value can be obtained through the experimental electrical variable measurement device. The measurement data deviation coefficient is obtained by dividing the absolute value of the difference between the actual measurement value and the reference standard value within the preset monitoring time period by the reference standard value. The measurement signal fluctuation coefficient refers to the degree of fluctuation of the measurement signal within the preset monitoring time period. The data logger can be used to record the measurement signal intensity, and the standard deviation and average value of the measurement signal intensity can be obtained through data analysis using computer software (such as MATLAB or Python). The measurement signal fluctuation coefficient is obtained by de-unifying the ratio of the standard deviation to the average value of the measurement signal intensity. The average response time of data measurement refers to the ratio of the total response time of all data measurements within the preset monitoring time period to the number of measurements. The total response time of data measurement and the number of measurements are measured by the data acquisition device. The number of harmonic distortions can reflect the occurrence of harmonic components in the measurement signal that are different from the fundamental frequency, usually reflecting the non-linear distortion of the measurement signal. The number of harmonic distortions within the preset monitoring time period can be measured by a spectrum analyzer.

[0085] The measurement data of the experimental electrical variable measurement device is processed to obtain the basic evaluation value of the measurement data of the experimental electrical variable measurement device, and the basic evaluation value of the measurement data of the experimental electrical variable measurement device is used to comprehensively quantify the quality of the measurement data of the experimental electrical variable measurement device.

[0086] Specifically, the specific analysis conditions for the basic evaluation value of the measurement data of the experimental electrical variable measurement device are as follows:

[0087]

[0088] In the formula, α represents the basic evaluation value of the measurement data of the experimental electrical variable measurement device, B1 represents the measurement data deviation coefficient of the experimental electrical variable measurement device, ω1 represents the measurement data evaluation weight factor corresponding to the set measurement data deviation coefficient, B2 represents the measurement signal fluctuation coefficient of the experimental electrical variable measurement device, ω2 represents the measurement data evaluation weight factor corresponding to the set measurement signal fluctuation coefficient, B3 represents the average response time of data measurement of the experimental electrical variable measurement device, ΔB3 represents the set reference data measurement response time, ω3 represents the measurement data evaluation weight factor corresponding to the set data measurement response time, B4 represents the number of harmonic distortions of the experimental electrical variable measurement device, ω4 represents the measurement data evaluation weight factor corresponding to the set single harmonic distortion, and e represents the natural constant.

[0089] It should be added that in this embodiment, the measurement data evaluation weight factors corresponding to the preset measurement data deviation coefficient, the measurement signal fluctuation coefficient, the data measurement response duration, and the single harmonic distortion are obtained from the electrical variable measurement database.

[0090] It should be explained that the measurement data evaluation weight factors corresponding to the measurement data deviation coefficient, the measurement signal fluctuation coefficient, the data measurement response duration, and the single harmonic distortion are respectively used to adjust the importance of the measurement data deviation coefficient, the measurement signal fluctuation coefficient, the average data measurement response duration, and the harmonic distortion times of the experimental electrical variable measurement device in the process of analyzing and obtaining the basic evaluation value of the measurement data of the experimental electrical variable measurement device. For example, there is a preset mapping relationship between the measurement data of the experimental electrical variable measurement device and the corresponding measurement data evaluation weight factor in the electrical variable measurement database. Through the preset mapping relationship, the measurement data evaluation weight factor corresponding to the real-time measurement data of the experimental electrical variable measurement device can be matched. The measurement data deviation coefficient, the measurement signal fluctuation coefficient, the average data measurement response duration, and the harmonic distortion times of the experimental electrical variable measurement device are respectively matched with the preset mapping relationship to obtain the measurement data evaluation weight factors corresponding to the measurement data deviation coefficient, the measurement signal fluctuation coefficient, the data measurement response duration, and the single harmonic distortion.

[0091] In this implementation scheme, there is a correlation among the measurement data deviation coefficient, the measurement signal fluctuation coefficient, the average data measurement response duration, and the harmonic distortion times of the experimental electrical variable measurement device, and they do not exist independently. For example, when the measurement signal fluctuation coefficient is large, it may lead to an increase in the error of the measurement result, thus affecting the measurement data deviation coefficient. Harmonic distortion will cause signal distortion, affecting the accurate sampling of the signal by the measurement device. A high harmonic distortion times may change the waveform of the measurement signal, increasing the measurement data deviation coefficient, thereby reducing the measurement accuracy. A large harmonic distortion times will cause an increase in the measurement signal fluctuation coefficient. The average data measurement response duration helps to capture more data points, reduce the error caused by instantaneous fluctuations, and reduce the measurement signal fluctuation coefficient. By comprehensively analyzing and obtaining the basic evaluation value of the measurement data of the experimental electrical variable measurement device, the error in the measurement process can be more accurately identified, thereby reducing the measurement data deviation and improving the accuracy of the measurement result.

[0092] According to the basic evaluation value of the measurement data of the experimental electrical variable measurement device, combined with the magnetic field strength interference influence factor, the basic comprehensive evaluation value of the measurement data of the experimental electrical variable measurement device is comprehensively analyzed. The basic comprehensive evaluation value of the measurement data of the experimental electrical variable measurement device is used to comprehensively quantify the basic measurement performance of the experimental electrical variable measurement device.

[0093] Modulate the measurement frequency of the experimental electrical variable measurement device based on the comprehensive evaluation value of the measurement data of the experimental electrical variable measurement device.

[0094] It should be added that the product of the basic evaluation value of the measurement data of the experimental electrical variable measurement device and the magnetic field strength interference influence factor is recorded as the comprehensive evaluation value of the measurement data of the experimental electrical variable measurement device. By considering the influence of the magnetic field strength interference on the measurement data, the reliability of the measurement result can be more accurately evaluated, thereby improving the overall measurement accuracy.

[0095] Specifically, modulating the measurement frequency of the experimental electrical variable measurement device based on the comprehensive evaluation value of the measurement data of the experimental electrical variable measurement device, the specific process is as follows: From the electrical variable measurement database, find the comprehensive evaluation reference value of the measurement data whose absolute value of the difference from the comprehensive evaluation value of the measurement data meets the preset difference condition, and obtain the measurement frequency corresponding to the found comprehensive evaluation reference value of the measurement data as the target measurement frequency, and adjust the measurement frequency of the experimental electrical variable measurement device to the target measurement frequency for modulation.

[0096] It should be explained that the comprehensive evaluation reference value of the measurement data whose absolute value of the difference from the comprehensive evaluation value of the measurement data meets the preset difference condition, where the preset difference condition is the absolute value of the minimum difference, that is, the comprehensive evaluation reference value of the measurement data in the electrical variable measurement database with the smallest absolute value of the difference from the comprehensive evaluation value of the measurement data.

[0097] It should be noted that the electrical variable measurement system for college physics experiments based on electromagnetic induction also includes an electrical variable measurement database, which is used to store the first parameter set, the second parameter set, and the third parameter set obtained by analyzing historical data.

[0098] The first parameter set includes the performance deviation evaluation factor corresponding to the zero-point offset coefficient, the standard full-scale output value, the performance deviation evaluation factor corresponding to the full-scale output value, the performance deviation evaluation factor corresponding to the frequency response coefficient, and the calibration parameter adjustment value of the experimental electrical variable measurement device corresponding to each performance deviation evaluation value interval.

[0099] The second parameter set includes the external magnetic field strength critical value, the interference evaluation factor corresponding to the external magnetic field strength value, the interference evaluation factor corresponding to the occurrence of a single-pulse interference, the interference evaluation factor corresponding to the electrical deviation coefficient, the interference evaluation factor corresponding to the hysteresis loss, the first magnetic field strength interference evaluation threshold, the second magnetic field strength interference evaluation threshold, the cut-off frequency increment value, and the signal amplitude increment value.

[0100] The third parameter set includes the magnetic field intensity interference influence factor corresponding to the average value interval of each magnetic field intensity interference evaluation, the measurement data evaluation weight factor corresponding to the measurement data deviation coefficient, the measurement data evaluation weight factor corresponding to the measurement signal fluctuation coefficient, the reference data measurement response duration, the measurement data evaluation weight factor corresponding to the data measurement response duration, the measurement data evaluation weight factor corresponding to the single harmonic distortion, and the measurement data basic comprehensive evaluation reference value.

[0101] In the second aspect of the present invention, there is provided an electrical variable measurement device for a college physics experiment based on electromagnetic induction, further including: a processor, and a memory and a network interface connected to the processor: the network interface is connected to a non-volatile memory in the server; when running, the processor retrieves a computer program from the non-volatile memory through the network interface, and runs the computer program through the memory to execute the above-mentioned electrical variable measurement system for a college physics experiment based on electromagnetic induction.

[0102] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the term "comprises", "comprising" or any other variation thereof is intended to cover a non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device.

[0103] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific embodiments described. Obviously, many modifications and variations can be made according to the content of this specification. These embodiments are selected and specifically described in this specification to better explain the principles and practical applications of the present invention, so that those skilled in the art in the relevant technical field can well understand and utilize the present invention.

Claims

1. An electrical variable measurement system for a college physics experiment based on electromagnetic induction, characterized in that, Including: An experimental device calibration module, which is used to receive an experiment start signal through a central controller, perform performance analysis on the experimental electrical variable measurement device, and then calibrate the experimental electrical variable measurement device; An interference factor analysis module, which is used to analyze the magnetic field strength of the calibrated experimental electrical variable measurement device to obtain the magnetic field strength interference information of the experimental electrical variable measurement device, and perform magnetic field compensation according to the magnetic field strength interference information of the experimental electrical variable measurement device; A measurement frequency modulation module, which is used to perform a college physics experiment based on the experimental electrical variable measurement device after magnetic field compensation, and synchronously modulate the measurement frequency of the experimental electrical variable measurement device; An experimental data processing module, which is used to measure experimental data based on the modulated experimental electrical variable measurement device and display the experimental data on a visualization screen.

2. The electrical variable measurement system for college physics experiments based on electromagnetic induction according to claim 1, wherein: The process of performing performance analysis on the experimental electrical variable measurement device is specifically as follows: Perform performance analysis on the experimental electrical variable measurement device to obtain the basic parameters of the experimental electrical variable measurement device. The basic parameters of the experimental electrical variable measurement device include the zero offset coefficient, actual full-scale output value, and frequency response coefficient of the experimental electrical variable measurement device; Process based on the basic parameters of the experimental electrical variable measurement device to obtain the performance deviation evaluation value of the experimental electrical variable measurement device. The performance deviation evaluation value of the experimental electrical variable measurement device is used to comprehensively quantify the performance deviation of the experimental electrical variable measurement device.

3. The electrical variable measurement system for college physics experiments based on electromagnetic induction according to claim 2, wherein: The process of then calibrating the experimental electrical variable measurement device is specifically as follows: Match the performance deviation evaluation value of the experimental electrical variable measurement device with the experimental electrical variable measurement device calibration parameter adjustment values corresponding to each performance deviation evaluation value interval stored in the electrical variable measurement database, and count the experimental electrical variable measurement device calibration parameter adjustment values corresponding to the interval where the performance deviation evaluation value of the experimental electrical variable measurement device is located, denoted as the experimental electrical variable measurement device calibration parameter adjustment value; Add the experimental electrical variable measurement device calibration parameter adjustment value to the current experimental electrical variable measurement device calibration parameter to obtain the experimental electrical variable measurement device calibration parameter target execution value, and adjust the experimental electrical variable measurement device calibration parameter up to the experimental electrical variable measurement device calibration parameter target execution value for calibration.

4. The electric variable measurement system for college physics experiments based on electromagnetic induction according to claim 1, characterized in that: The process of analyzing the magnetic field strength of the calibrated experimental electrical variable measurement device is specifically as follows: Analyze the magnetic field strength of the calibrated experimental electrical variable measurement device to obtain the magnetic field strength interference data of the experimental electrical variable measurement device. The magnetic field strength interference data of the experimental electrical variable measurement device includes the average external magnetic field strength, number of pulse interferences, electrical deviation coefficient, and hysteresis loss of the experimental electrical variable measurement device within a preset monitoring time period; Comprehensively analyze the magnetic field strength interference data of the experimental electrical variable measurement device to obtain the magnetic field strength interference evaluation value of the experimental electrical variable measurement device. The magnetic field strength interference evaluation value of the experimental electrical variable measurement device is used to comprehensively quantify the influence degree of the environmental magnetic field interference of the experimental electrical variable measurement device on the measurement result.

5. The electrical variable measurement system for college physics experiments based on electromagnetic induction according to claim 4, wherein: The process of obtaining the magnetic field strength interference information of the experimental electrical variable measurement device is specifically as follows: Import the magnetic field strength interference evaluation value of the experimental electrical variable measurement device into the interference factor analysis model to obtain the magnetic field strength interference information of the experimental electrical variable measurement device; Mark the magnetic field strength interference evaluation value of the experimental electrical variable measurement device as R; Evaluate the first threshold and the second threshold of magnetic field intensity interference in the statistical interference factor analysis model, and mark them respectively as After being processed by the interference factor analysis model, if then mark the magnetic field intensity interference information of the experimental electric variable measurement device as high magnetic field intensity interference; If then mark the magnetic field strength interference information of the experimental electrical variable measurement device as low magnetic field strength interference; If φ2 > R, then mark the magnetic field strength interference information of the experimental electrical variable measurement device as normal magnetic field strength interference.

6. The electrical variable measurement system for college physics experiments based on electromagnetic induction according to claim 5, characterized in that: The magnetic field compensation is performed according to the magnetic field strength interference information of the experimental electrical variable measurement device. The specific process is as follows: Extract the magnetic field strength interference information of the experimental electrical variable measurement device. If the magnetic field strength interference information of the experimental electrical variable measurement device is high magnetic field strength interference, then adjust the cut-off frequency of the digital filter. If the magnetic field strength interference information of the experimental electrical variable measurement device is low magnetic field strength interference, then adjust the signal amplitude. If the magnetic field strength interference information of the experimental electrical variable measurement device is normal magnetic field strength interference, then continue to configure the experimental electrical variable measurement device with the current cut-off frequency and signal amplitude of the digital filter.

7. The electrical variable measurement system for college physics experiments based on electromagnetic induction according to claim 1, wherein: The measurement frequency of the experimental electrical variable measurement device is modulated synchronously. The specific process is as follows: Based on the magnetic field strength interference evaluation value of the experimental electrical variable measurement device, statistically obtain the average magnetic field strength interference evaluation value of the experimental electrical variable measurement device, and match the magnetic field strength interference influence factor according to the average magnetic field strength interference evaluation value of the experimental electrical variable measurement device; Perform a college physics experiment based on the experimental electrical variable measurement device after magnetic field compensation, and statistically obtain the measurement data of the experimental electrical variable measurement device. The measurement data of the experimental electrical variable measurement device includes the measurement data deviation coefficient, measurement signal fluctuation coefficient, data measurement average response duration, and harmonic distortion number of the experimental electrical variable measurement device within a preset monitoring time period; Process the measurement data of the experimental electrical variable measurement device to obtain the basic evaluation value of the measurement data of the experimental electrical variable measurement device. The basic evaluation value of the measurement data of the experimental electrical variable measurement device is used to comprehensively quantify the quality of the measurement data of the experimental electrical variable measurement device; According to the basic evaluation value of the measurement data of the experimental electrical variable measurement device, combined with the magnetic field strength interference influence factor, comprehensively analyze to obtain the comprehensive basic evaluation value of the measurement data of the experimental electrical variable measurement device. The comprehensive basic evaluation value of the measurement data of the experimental electrical variable measurement device is used to comprehensively quantify the basic measurement performance of the experimental electrical variable measurement device; Modulate the measurement frequency of the experimental electrical variable measurement device based on the comprehensive basic evaluation value of the measurement data of the experimental electrical variable measurement device.

8. The electro-variable measurement system for college physics experiments based on electromagnetic induction according to claim 7, wherein: The modulation of the measurement frequency of the experimental electrical variable measurement device based on the comprehensive basic evaluation value of the measurement data of the experimental electrical variable measurement device. The specific process is as follows: From the electrical variable measurement database, find the comprehensive basic evaluation reference value of the measurement data whose absolute value of the difference from the comprehensive basic evaluation value of the measurement data satisfies the preset difference condition, and obtain the measurement frequency corresponding to the found comprehensive basic evaluation reference value of the measurement data as the target measurement frequency, and adjust the measurement frequency of the experimental electrical variable measurement device to the target measurement frequency for modulation.

9. The electrical variable measurement system for college physics experiments based on electromagnetic induction according to claim 7, characterized in that: The specific analysis conditions for the basic evaluation value of the measurement data of the experimental electrical variable measurement device are as follows: Wherein, α represents the basic evaluation value of the measurement data of the experimental electrical variable measurement device, B1 represents the measurement data deviation coefficient of the experimental electrical variable measurement device, ω1 represents the measurement data evaluation weight factor corresponding to the set measurement data deviation coefficient, B2 represents the measurement signal fluctuation coefficient of the experimental electrical variable measurement device, ω2 represents the measurement data evaluation weight factor corresponding to the set measurement signal fluctuation coefficient, B3 represents the average response duration of data measurement of the experimental electrical variable measurement device, ΔB3 represents the set reference data measurement response duration, ω3 represents the measurement data evaluation weight factor corresponding to the set data measurement response duration, B4 represents the number of harmonic distortions of the experimental electrical variable measurement device, ω4 represents the measurement data evaluation weight factor corresponding to the set single harmonic distortion, and e represents the natural constant.

10. An electrical variable measurement device for a college physics experiment based on electromagnetic induction, characterized in that: Including: a processor, as well as a memory and a network interface connected to the processor: the network interface is connected to the non-volatile memory in the server: when running, the processor retrieves a computer program from the non-volatile memory through the network interface and runs the computer program through the memory to execute the system according to any one of claims 1-9 above.

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