Intelligent data optimization management system for high-voltage resonant reactance experiment

Abstract

The invention, which relates to the technical field of data analysis, discloses an intelligent data optimization management system for a high-voltage resonant reactance experiment, comprising a data management center. The data management center is in communication connection with a data acquisition module, a data preprocessing module, a resonance state analysis module, an environment interference analysis module, a precision evaluation module and an experiment optimization suggestion module. According to the intelligent data optimization management system for the high-voltage resonance reactance experiment, a resonance state evaluation index is calculated through the resonance state analysis module, the resonance state of a circuit is quantified, the interference degree of external environment factors on the experiment is evaluated in combination with the environment interference evaluation module, and comprehensive analysis is performed through the precision evaluation module; the precision and the accuracy of the experiment result are predicted, so that an experimenter can recognize potential problems in advance and take measures to avoid or reduce related problems, and the predictability and the stability of the experiment result are enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and in particular to an intelligent data optimization management system for high-voltage resonant reactance experiments. Background Art

[0002] High voltage test is indispensable to the whole power system, and it is very important to ensure the quality of power system operation. With the development of economic construction, the demand for electricity has increased unprecedentedly, and the power system is facing great pressure. In order to ensure the quality of power supply, the power system must maintain safe and reliable operation. The principle of high voltage test is to use the test simulation method and the related testing equipment to test the safety of electrical equipment. The basis is the safety and reliability of the insulation system of the electrical equipment. In high voltage test, resonance test is a commonly used method. The resonance test uses the series or parallel relationship of the resistance, inductance and capacitance elements in the circuit. When the circuit current is in phase with the power supply voltage, resonance occurs.

[0003] In the prior art, since the high-voltage resonant reactance experiment involves multiple variables and parameters, the interactions between the parameters increase the complexity of the experimental results. In addition, the experimental process is also affected by temperature changes and electromagnetic interference in the external environment, which further increases the uncertainty of the experimental results. Therefore, how to optimize the data management of the high-voltage resonant reactance experiment and evaluate the impact of experimental interference factors on the accuracy of the experimental results are the problems we need to solve. To this end, an intelligent data optimization management system for high-voltage resonant reactance experiments is proposed. Summary of the invention

[0004] To achieve the above objectives, the present invention is implemented through the following technical solutions: an intelligent data optimization management system for high-voltage resonant reactance experiments, including a data management center, wherein the data management center is communicatively connected with a data acquisition module, a data preprocessing module, a resonant state analysis module, an environmental interference analysis module, an accuracy assessment module, and an experiment optimization suggestion module, wherein electrical signals are connected between the modules;

[0005] The data acquisition module is used to collect the original data of various parameters during the high-voltage resonant reactance experiment, including the inductance value, capacitance value, test frequency, and test voltage of the reactor, and monitor the experimental environment to obtain the external environmental factor data of temperature, humidity, and electromagnetic interference to ensure the accuracy and integrity of the data, and provide a reliable basis for subsequent data processing and analysis;

[0006] The data preprocessing module is used to preprocess the collected raw data and external environmental factor data, including cleaning, filtering and calibration steps, to remove noise and outliers, improve the quality of the data, and standardize the data to make it comparable and consistent, and extract the high-voltage resonant reactance experimental characteristics and environmental factor characteristics;

[0007] The resonant state analysis module uses data analysis technology to analyze the pre-processed high-voltage resonant reactance experimental data and high-voltage resonant reactance experimental characteristics, identify data trends and analyze the resonant state of the circuit;

[0008] The environmental interference analysis module calculates the environmental interference evaluation index by combining the pre-processed external environmental factor data and the environmental factor characteristics, compares the baseline value of the external environmental factor, and evaluates the interference degree of the external environmental factor on the high-voltage resonant reactance experiment;

[0009] The accuracy evaluation module combines the analysis results of the circuit resonance state and the interference evaluation results of external environmental factors to perform accuracy analysis, evaluate the data change law of the high-voltage resonance reactance experiment, predict the accuracy of the experimental results, and provide a more comprehensive perspective for the accurate evaluation and prediction of the experimental results;

[0010] The experiment optimization suggestion module determines the accuracy level of the high-voltage resonant reactance experiment based on the accuracy evaluation result of the high-voltage resonant reactance experiment, provides suggestions for experimental design and optimization, adjusts experimental parameters and conditions, and optimizes the experimental plan to improve the accuracy and reliability of the experimental results.

[0011] Preferably, in the data acquisition module, the process of acquiring the original data of the high-voltage resonant reactance experimental parameters and the external environmental factor data includes:

[0012] Deploy measurement instruments for high-voltage resonant reactance experiments, and place temperature sensors, humidity sensors, and electromagnetic interference detectors in the experimental environment to monitor the experimental environment;

[0013] Use the deployed measuring instruments to collect the original data of the inductance, capacitance, test frequency and test voltage of the reactor during the high-voltage resonant reactance experiment;

[0014] The temperature sensors, humidity sensors and electromagnetic interference detectors are used to collect data on external environmental factors of the experimental environment. The temperature sensors are used to measure and record the temperature of the experimental environment during the experiment. The humidity sensors are used to measure and record the humidity of the experimental environment during the experiment. The electromagnetic interference measuring instruments are used to measure and record the electromagnetic interference level in real time during the experiment.

[0015] The collected raw data of the high-voltage resonant reactance experiment and the external environmental factor data are summarized, and the data is marked, and the experimental conditions and timestamps are recorded and stored in the data warehouse for subsequent analysis.

[0016] Preferably, in the data preprocessing module, the process of extracting the high-voltage resonant reactance experimental characteristics and environmental factor characteristics includes:

[0017] Extract the collected raw data and external environmental factor data from the data warehouse and preprocess them. The preprocessing operation includes data cleaning, data filtering and data calibration steps;

[0018] Standardize the preprocessed raw data and external environmental factor data to eliminate the impact of dimensional differences between different data, and extract features from the preprocessed and standardized raw data and external environmental factor data;

[0019] For the raw data of the high-voltage resonant reactance test process, extract the high-voltage resonant reactance test characteristics of the reactor inductance value, capacitance value, test frequency and test voltage. For the reactor inductance value, extract the change trend, average value and standard deviation statistical characteristics of the inductance value over time; for the capacitance value, extract the change trend, average value and standard deviation statistical characteristics of the capacitance value over time; for the test frequency, extract the frequency stability and fluctuation range characteristics; for the test voltage, extract the voltage peak value, average value and waveform characteristics;

[0020] For external environmental factor data, extract the environmental factor characteristics of temperature, humidity and electromagnetic interference. For temperature, extract the temperature change trend, maximum value, minimum value and average value characteristics; for humidity characteristics, extract the humidity change trend, maximum value, minimum value and average value characteristics; for electromagnetic interference characteristics, extract the intensity, frequency distribution and duration characteristics of electromagnetic interference;

[0021] The extracted data of high-voltage resonant reactance experimental features and environmental factor features are integrated to obtain a comprehensive feature set.

[0022] Preferably, in the resonance state analysis module, the process of identifying data trends and analyzing the circuit resonance state includes:

[0023] Traverse the preprocessed high-voltage resonant reactance test data, extract the high-voltage resonant reactance test features from the comprehensive feature set, and perform time series analysis on the inductance value, capacitance value, test frequency and test voltage features to identify the change trend over time, and apply the sliding window technology to analyze the local trends and patterns of the data;

[0024] Perform fast Fourier transform analysis on voltage and current signals to determine the resonance peak in the frequency domain, and calculate the power spectrum density of the signal to identify the frequency range where the energy is concentrated;

[0025] The theoretical resonant frequency of the circuit is calculated based on the values ​​of inductance and capacitance, and the phase difference between the voltage and current signals is analyzed. Combined with the experimental characteristics of high-voltage resonant reactance, the resonance state evaluation index is calculated to quantitatively analyze the resonant state of the circuit.

[0026] Use the circuit theory model to fit the experimental data, calculate the circuit behavior evaluation index, verify the circuit behavior, identify and analyze abnormal data points related to the resonant state, and determine whether the circuit is in a resonant state.

[0027] Preferably, the expression of the resonance state evaluation index is:

[0028]

[0029] Where R is the resonance state evaluation index, n is the total number of frequency points measured in the experiment, and f i is the frequency of the ith measurement point in the experiment, f 0 is the theoretical resonant frequency, L is the inductance measured in the experiment, C is the capacitance measured in the experiment, σ i is the standard deviation of the frequency of the ith measurement point in the experiment, V φ is the phase difference between voltage and current, φ max is the maximum allowed phase difference, P peak is the peak value in the power spectrum density, P ref The value of R ranges from 0 to 1 as the reference power spectral density peak;

[0030] The expression of the circuit behavior evaluation index is:

[0031]

[0032] Δf=f i -f 0 ;

[0033] Where S is the circuit behavior evaluation index, n is the total number of frequency points measured in the experiment, and G i is the power value of the i-th measurement point in the experiment, G 0 is the power value predicted by the circuit theory model, G ref is the reference power value, Z i is the impedance value of the ith measurement point in the experiment, Z 0 is the impedance value predicted by the circuit theory model, Z ref is the reference impedance value, Δf is the deviation between the measured frequency and the theoretical resonant frequency, and f ref is the reference frequency, and the value range of S is 0 to 1.

[0034] Preferably, in the environmental interference analysis module, the process of obtaining the environmental interference assessment index includes:

[0035] Extract the environmental factor characteristics related to the high-voltage resonant reactance experiment from the pre-processed external environmental factor data, and analyze the temperature change trend, humidity change trend and electromagnetic interference intensity;

[0036] Set the baseline value of external environmental factors, compare the current environmental factor data with the baseline value, calculate the environmental interference assessment index, and quantify the degree of interference of external environmental factors on the experiment;

[0037] Preset the interference assessment threshold, compare the environmental interference assessment index with the interference assessment threshold, comprehensively analyze the degree of interference of environmental factors on the experiment, and judge the severity of the interference.

[0038] Preferably, the expression of the environmental interference assessment index is:

[0039]

[0040] Among them, E is the environmental interference assessment index, m is the total number of environmental factor measurement points in the experiment, T j is the temperature value of the jth environmental factor measurement point in the experiment, T ref is the reference value of temperature, T max is the maximum allowable temperature deviation, H j is the humidity value of the jth environmental factor measurement point in the experiment, H ref is the reference value of humidity, H max is the maximum allowable humidity deviation, I peak is the peak intensity of electromagnetic interference, I ref is the reference value of electromagnetic interference, and the value range of E is 0 to 1.

[0041] Preferably, in the accuracy assessment module, the accuracy analysis process includes:

[0042] Combining the analysis results of the circuit resonance state and the interference evaluation results of the external environmental factors, a resonance state evaluation index and an environmental interference evaluation index are obtained;

[0043] Draw a curve of the resonance state evaluation index changing over time, analyze its stability, volatility and change trend in different time periods, and draw a curve of the environmental interference evaluation index changing over time, analyze the dynamic changes of environmental factors and their potential impact on the circuit resonance state;

[0044] According to the experimental environment conditions and the requirements of the high-voltage resonant reactance experiment, weights are assigned to the resonance state evaluation index and the environmental interference evaluation index. The accuracy evaluation coefficient is calculated by combining the circuit resonance state evaluation index and the environmental interference evaluation index and their weights. The accuracy of the experimental results is analyzed. A high-precision evaluation coefficient indicates that the experimental data is stable and the results are reliable, while a low-precision evaluation coefficient indicates that there may be uncertainty.

[0045] Based on the accuracy assessment coefficient and its analysis results, different accuracy levels are set, namely, level one accuracy level, level two accuracy level, level three accuracy level and level four accuracy level. The accuracy of the accuracy level increases step by step from level one to level four, and a corresponding accuracy assessment threshold is set for each accuracy level.

[0046] Preferably, the expression of the accuracy evaluation coefficient is:

[0047]

[0048] Among them, AP is the accuracy evaluation coefficient, R is the resonance state evaluation index, and R ref is the reference value of the resonance state evaluation index, R max is the maximum allowable resonant state deviation, E is the environmental interference assessment index, and E ref is the benchmark value of the environmental interference assessment index, E max is the maximum allowable environmental interference deviation, w 1 and w 2 are the weights of the resonance state evaluation index and the environmental interference evaluation index, respectively, and the value range of AP is from 0 to 1;

[0049] The plurality of accuracy levels correspond to the plurality of accuracy assessment thresholds, wherein the accuracy assessment thresholds include an upper threshold and a lower threshold;

[0050] The multiple accuracy levels and the multiple accuracy assessment thresholds satisfy the following relationship:

[0051] First level accuracy AP H ≤AP<1;

[0052] Second level accuracy level AP M ≤AP <AP H ;

[0053] Level 3 accuracy grade AP L ≤AP <AP M ;

[0054] Grade 4 accuracy level 0 <AP<AP L ;

[0055] Among them, AP is the accuracy assessment coefficient, AP His the lower threshold corresponding to the first level of accuracy and the upper threshold corresponding to the second level of accuracy, AP M is the lower threshold corresponding to the second level accuracy level and the upper threshold corresponding to the third level accuracy level, AP L is the lower threshold corresponding to the third level of accuracy and the upper threshold corresponding to the fourth level of accuracy, AP H =0.9, AP M =0.75, AP L =0.5.

[0056] Preferably, in the experiment optimization suggestion module, the process of providing suggestions for experiment design and optimization includes:

[0057] Analyze the accuracy level of the current experiment based on the calculated accuracy evaluation coefficient, and compare the accuracy evaluation coefficient with the preset accuracy level threshold to determine the accuracy level of the current experiment;

[0058] According to the accuracy evaluation results, analyze the experimental parameters and environmental factors that cause the experimental results to deviate, check the experimental parameters and environmental factors, and put forward optimization suggestions for adjusting the experimental parameters and environmental factors to ensure that they match the experimental requirements;

[0059] According to the optimization suggestions, iteratively optimize the experimental plan, adjust the experimental parameters and experimental environment factors, and improve the accuracy and precision of the experimental results by implementing the optimization suggestions;

[0060] Conduct experimental verification under optimized experimental conditions, collect data and re-evaluate the accuracy level of the experiment. Based on the verification results, continuously adjust and optimize the experimental plan until the expected accuracy requirements are met. Record the optimization suggestions and implementation results, and generate an experimental report containing optimization suggestions and expected effects.

[0061] The present invention provides an intelligent data optimization management system for high-voltage resonant reactance experiments. It has the following beneficial effects:

[0062] 1. The intelligent data optimization management system for high-voltage resonant reactance experiments calculates the resonant state evaluation index through the resonant state analysis module to quantify the resonant state of the circuit. Combined with the environmental interference evaluation module, it evaluates the degree of interference of external environmental factors on the experiment, and conducts a comprehensive analysis through the accuracy evaluation module to predict the accuracy and precision of the experimental results, so that experimenters can identify potential problems in advance and take measures to avoid or reduce the occurrence of related problems, thereby enhancing the predictability and stability of the experimental results.

[0063] 2. The intelligent data optimization management system for high-voltage resonant reactance experiments monitors the key parameters during the experiment through integrated sensors and data processing technology, and calculates the resonance state evaluation index and environmental interference evaluation index to determine the accuracy level of the experiment. Through real-time monitoring and data analysis, it can promptly discover and correct deviations and errors in the experiment, significantly improving the accuracy and reliability of the experiment. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 This is a module structure diagram of an intelligent data optimization management system for high-voltage resonant reactance experiments according to the present invention;

[0065] Figure 2 A flow chart for identifying data trends and analyzing circuit resonant states for the present invention;

[0066] Figure 3 A flowchart for obtaining the environmental interference assessment index of the present invention;

[0067] Figure 4 This is a flow chart of the accuracy analysis of the present invention. DETAILED DESCRIPTION

[0068] The present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. The embodiments of the present invention are provided for the purpose of illustration and description, and are not intended to be exhaustive or to limit the present invention to the disclosed forms. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiments are selected and described in order to better illustrate the principles and practical applications of the present invention, and to enable those of ordinary skill in the art to understand the present invention and thereby design various embodiments with various modifications suitable for specific uses.

[0069] The first embodiment, as Figures 1 to 3 As shown, the present invention provides a technical solution: an intelligent data optimization management system for high-voltage resonant reactance experiments, including a data management center, the data management center is communicatively connected with a data acquisition module, a data preprocessing module, a resonant state analysis module, an environmental interference analysis module, an accuracy assessment module and an experiment optimization suggestion module, wherein the electrical signals between the modules are connected;

[0070] The data acquisition module is used to collect the original data of various parameters during the high-voltage resonant reactance experiment, including the inductance value, capacitance value, test frequency, and test voltage of the reactor, and monitor the experimental environment to obtain the external environmental factor data of temperature, humidity, and electromagnetic interference to ensure the accuracy and completeness of the data, and provide a reliable basis for subsequent data processing and analysis. The measuring instruments for the high-voltage resonant reactance experiment are deployed, and temperature sensors, humidity sensors, and electromagnetic interference detectors are arranged in the experimental environment to monitor the experimental environment. The deployed measuring instruments are used to collect the original data of the inductance value, capacitance value, test frequency, and test voltage of the reactor during the high-voltage resonant reactance experiment. Among them, the inductance value of the reactor is obtained through the inductance measuring instrument, and the inductance value of the reactor is measured and recorded in real time during the experiment. Use capacitance measuring instruments to measure and record capacitance values ​​in real time during the experiment, use frequency measuring instruments to record test frequencies in real time during the experiment, use high-voltage voltage measuring instruments to measure and record test voltages in real time during the experiment, use temperature sensors, humidity sensors, and electromagnetic interference detectors to collect data on external environmental factors of the experimental environment, use temperature sensors to measure and record the temperature of the experimental environment during the experiment, use humidity sensors to measure and record the humidity of the experimental environment during the experiment, use electromagnetic interference measuring instruments to measure and record electromagnetic interference levels in real time during the experiment, summarize the collected raw data and external environmental factor data of the high-voltage resonant reactance experiment, mark the data, record the experimental conditions and timestamps, and store them in the data warehouse for subsequent analysis;

[0071] The data preprocessing module is used to preprocess the collected raw data and external environmental factor data, including cleaning, filtering and calibration steps, remove noise and outliers, improve data quality, and standardize the data to make it comparable and consistent, extract high-voltage resonant reactance experimental characteristics and environmental factor characteristics, extract the collected raw data and external environmental factor data from the data warehouse, and preprocess them. The preprocessing operation includes data cleaning, data filtering and data calibration steps, wherein, through data cleaning, statistical methods (Z scores) are used to identify outliers and remove them from the data set. For missing data points, interpolation methods are used to fill missing values ​​according to the distribution of data and experimental conditions. Digital filtering technology is used to remove high-frequency noise in the data and retain useful signals. The data is smoothed to reduce fluctuations and uncertainties in the data and improve the stability and reliability of the data. Through data calibration, the data is processed for consistency to ensure that the data from different sensors and measuring devices are consistent in range, unit and accuracy. The preprocessed raw data and external environmental factor data are standardized to eliminate In addition to the influence of dimensional differences between different data, feature extraction is performed on the original data and external environmental factor data after preprocessing and standardization. For the original data of the high-voltage resonant reactance experiment process, the high-voltage resonant reactance experimental features of the inductance value, capacitance value, test frequency and test voltage of the reactor are extracted. For the inductance value of the reactor, the statistical features of the change trend, average value and standard deviation of the inductance value over time are extracted. For the capacitance value, the statistical features of the change trend, average value and standard deviation of the capacitance value over time are extracted. For the test frequency, the frequency stability and fluctuation range characteristics are extracted. For the test voltage, the peak value, average value and waveform characteristics of the voltage are extracted. For the external environmental factor data, the environmental factor characteristics of temperature, humidity and electromagnetic interference are extracted. For temperature, the temperature change trend, maximum value, minimum value and average value characteristics are extracted. For humidity characteristics, the humidity change trend, maximum value, minimum value and average value characteristics are extracted. For electromagnetic interference characteristics, the intensity, frequency distribution and duration characteristics of electromagnetic interference are extracted. The relevant data of the extracted high-voltage resonant reactance experimental characteristics and environmental factor characteristics are integrated to obtain a comprehensive feature set.

[0072] The resonance state analysis module uses data analysis technology to analyze the pre-processed high-voltage resonance reactance experimental data and high-voltage resonance reactance experimental features, identify data trends and analyze the resonance state of the circuit, traverse the pre-processed high-voltage resonance reactance experimental data, extract the high-voltage resonance reactance experimental features from the comprehensive feature set, and perform time series analysis on the inductance value, capacitance value, test frequency and test voltage features to identify the change trend over time, apply sliding window technology to analyze the local trend and pattern of the data, perform fast Fourier transform analysis on the voltage and current signals, determine the resonance peak in the frequency domain, calculate the power spectrum density of the signal, identify the frequency range where the energy is concentrated, calculate the theoretical resonance frequency of the circuit according to the values ​​of inductance and capacitance, and analyze the phase difference between the voltage and current signals. Combined with the high-voltage resonance reactance experimental features, calculate the resonance state evaluation index, quantitatively analyze the resonance state of the circuit, use the circuit theoretical model to fit the experimental data, calculate the circuit behavior evaluation index, verify the behavior of the circuit, identify and analyze abnormal data points related to the resonance state, and determine whether the circuit is in a resonance state;

[0073] Furthermore, the expression of the resonance state evaluation index is:

[0074]

[0075] Where R is the resonance state evaluation index, n is the total number of frequency points measured in the experiment, and f i is the frequency of the ith measurement point in the experiment, f 0 is the theoretical resonant frequency, L is the inductance measured in the experiment, C is the capacitance measured in the experiment, σ i is the standard deviation of the frequency of the ith measurement point in the experiment, V φ is the phase difference between voltage and current, φ max is the maximum allowed phase difference, P peak is the peak value in the power spectrum density, P ref The value of R is 0 to 1, which is the reference power spectrum density peak. When all measured values ​​meet the ideal conditions, the value of R is 1, indicating that the circuit is in a perfect resonant state. As the measured values ​​deviate from the ideal conditions, the value of R decreases, and when it is close to 0, it means that the circuit is far away from the resonant state. i Close to f 0 When |ln(f i -f 0 )| decreases, making the entire denominator decrease, so R increases. When |V φ |When it is smaller, decreases, making the entire denominator decrease, so that R increases. When P peak Close to P ref hour, Decreases, so that the entire denominator decreases, thereby increasing R, and the resonance state of the circuit is evaluated by comprehensively considering the deviation of the resonant frequency deviation, phase difference and power spectrum density peak;

[0076] The expression of the circuit behavior evaluation index is:

[0077]

[0078] Δf=f i -f 0 ;

[0079] Where S is the circuit behavior evaluation index, n is the total number of frequency points measured in the experiment, and G i is the power value of the i-th measurement point in the experiment, G 0 is the power value predicted by the circuit theory model, G ref is the reference power value, Z i is the impedance value of the ith measurement point in the experiment, Z 0 is the impedance value predicted by the circuit theory model, Z ref is the reference impedance value, Δf is the deviation between the measured frequency and the theoretical resonant frequency, and f ref is the reference frequency, and the value range of S is 0 to 1. When all measured values ​​are consistent with the theoretical prediction, the value of S is 1, indicating that the circuit behavior is completely consistent with the theoretical model. As the measured values ​​deviate from the theoretical prediction, the value of S decreases, and when it is close to 0, it means that the circuit behavior deviates significantly from the theoretical model. i -G 0 When | is small, the summation term decreases, which makes the entire denominator decrease, thereby increasing S. When |Δf| is small, the radical term decreases, which makes the entire denominator decrease, so S increases. When |Δf| is small, the exponential term decreases, which makes the entire denominator decrease, so S increases.

[0080] The environmental interference analysis module combines the pre-processed external environmental factor data and environmental factor characteristics, calculates the environmental interference evaluation index, compares the baseline values ​​of the external environmental factors, evaluates the interference degree of the external environmental factors on the high-voltage resonant reactance experiment, extracts the environmental factor characteristics related to the high-voltage resonant reactance experiment from the pre-processed external environmental factor data, analyzes the temperature change trend, humidity change trend and electromagnetic interference intensity, sets the baseline value of the external environmental factor, and compares the current environmental factor data with the baseline value, calculates the environmental interference evaluation index, and quantifies the interference degree of the external environmental factors on the experiment, wherein, according to the ideal experimental conditions, the best temperature range in the experiment is set as the baseline value of the temperature, the optimal level of humidity in the experiment is set as the baseline value of the humidity, the electromagnetic interference baseline value is the allowable value of the ideal experimental conditions, the interference evaluation threshold is preset, the environmental interference evaluation index is compared with the interference evaluation threshold, the interference degree of the environmental factors on the experiment is comprehensively analyzed, and the severity of the interference degree is judged;

[0081] Furthermore, the expression of the environmental interference assessment index is:

[0082]

[0083] Among them, E is the environmental interference assessment index, m is the total number of environmental factor measurement points in the experiment, T j is the temperature value of the jth environmental factor measurement point in the experiment, T ref is the reference value of temperature, T max is the maximum allowable temperature deviation, H j is the humidity value of the jth environmental factor measurement point in the experiment, H ref is the reference value of humidity, H max is the maximum allowable humidity deviation, I peak is the peak intensity of electromagnetic interference, I ref is the reference value of electromagnetic interference. The value range of E is 0 to 1. When all measured values ​​meet the reference value, the value of E is 1, indicating that the environmental factors have no interference with the experiment. As the measured values ​​deviate from the reference value, the value of E decreases. When it is close to 0, it means that the environmental factors have significant interference with the experiment.

[0084] The accuracy assessment module combines the analysis results of the circuit resonance state and the interference assessment results of external environmental factors to perform accuracy analysis, evaluate the data change law of the high-voltage resonance reactance experiment, predict the accuracy of the experimental results, and provide a more comprehensive perspective for the accurate evaluation and prediction of the experimental results;

[0085] The experiment optimization suggestion module determines the accuracy level of the high-voltage resonant reactance experiment based on the accuracy evaluation results of the high-voltage resonant reactance experiment, and provides suggestions for experimental design and optimization, adjusts experimental parameters and conditions, and optimizes the experimental plan to improve the accuracy and reliability of the experimental results.

[0086] The second embodiment is based on the first embodiment. Figure 4 As shown in the figure, in the accuracy assessment module, the accuracy analysis process includes:

[0087] Combined with the analysis results of the circuit resonance state and the interference assessment results of the external environmental factors, the resonance state assessment index and the environmental interference assessment index are obtained, and the curve of the resonance state assessment index changing with time is plotted. The stability, volatility and change trend in different time periods are analyzed, and the curve of the environmental interference assessment index changing with time is plotted. The dynamic changes of environmental factors and their potential impact on the circuit resonance state are analyzed. According to the experimental environmental conditions and the requirements of the high-voltage resonance reactance experiment, weights are assigned to the resonance state assessment index and the environmental interference assessment index. Combined with the circuit resonance state assessment index and the environmental interference assessment index and their weights, the accuracy assessment coefficient is calculated, and the accuracy of the experimental results is analyzed. A high-precision assessment coefficient indicates that the experimental data is stable and the results are reliable, while a low-precision assessment coefficient indicates that there may be uncertainty. Based on the accuracy assessment coefficient and its analysis results, different accuracy levels are set, namely, the first-level accuracy level, the second-level accuracy level, the third-level accuracy level and the fourth-level accuracy level, wherein the accuracy of the accuracy level increases step by step from the first level to the fourth level, and a corresponding accuracy assessment threshold is set for each accuracy level;

[0088] Furthermore, the expression of the accuracy evaluation coefficient is:

[0089]

[0090] Among them, AP is the accuracy evaluation coefficient, R is the resonance state evaluation index, and R ref is the reference value of the resonance state evaluation index, R max is the maximum allowable resonant state deviation, E is the environmental interference assessment index, and E ref is the benchmark value of the environmental interference assessment index, E max is the maximum allowable environmental interference deviation, w 1 and w 2 are the weights of the resonance state evaluation index and the environmental interference evaluation index, respectively. The value range of AP is from 0 to 1. When R and E are equal to their reference values, the value of AP is 1, indicating that the experimental result is very accurate. As R and E deviate from their reference values, the value of AP decreases, and a value close to 0 indicates that the experimental result is inaccurate. When |RR ref When | is small, the radical term decreases, which reduces the entire denominator and increases AP. ref When | is smaller, the exponential term decreases, which reduces the entire denominator and thus increases AP;

[0091] Multiple accuracy levels correspond to multiple accuracy assessment thresholds, where the accuracy assessment threshold includes an upper threshold and a lower threshold;

[0092] Multiple accuracy levels and multiple accuracy assessment thresholds satisfy the following relationship:

[0093] First level accuracy AP H ≤AP<1; Highest accuracy, the experimental results are very precise, the resonance state and environmental interference are within the optimal range;

[0094] Second level accuracy level AP M ≤AP <AP H ; High accuracy, the experimental results are relatively precise, but there may be slight deviations;

[0095] Level 3 accuracy grade AP L ≤AP <AP M ; Medium accuracy, the experimental results are average, there may be some deviations, but the results are still usable;

[0096] Grade 4 accuracy level 0 <AP<AP L ; Low accuracy, the experimental results may have large deviations and need further verification or adjustment;

[0097] Among them, AP is the accuracy assessment coefficient, AP H is the lower threshold corresponding to the first level of accuracy and the upper threshold corresponding to the second level of accuracy, AP M is the lower threshold corresponding to the second level accuracy level and the upper threshold corresponding to the third level accuracy level, AP L is the lower threshold corresponding to the third level of accuracy and the upper threshold corresponding to the fourth level of accuracy, AP H =0.9, AP M =0.75, AP L =0.5;

[0098] In the Experiment Optimization Suggestion module, the process of providing suggestions for experimental design and optimization includes:

[0099] According to the calculated accuracy evaluation coefficient, analyze the accuracy level of the current experiment, and compare the accuracy evaluation coefficient with the preset accuracy level threshold to determine the accuracy level of the current experiment. According to the accuracy evaluation results, analyze the experimental parameters and environmental factors that cause the deviation of the experimental results, check the experimental parameters and experimental environmental factors, and put forward optimization suggestions for adjusting the experimental parameters and environmental factors to ensure that they match the experimental requirements. According to the optimization suggestions, iteratively optimize the experimental plan, adjust the experimental parameters and experimental environmental factors, and improve the accuracy and precision of the experimental results by implementing the optimization suggestions. Perform experimental verification under the optimized experimental conditions, collect data and re-evaluate the accuracy level of the experiment. According to the verification results, continuously adjust and optimize the experimental plan until the expected accuracy requirements are met, record the optimization suggestions and implementation results, and generate an experimental report containing optimization suggestions and expected effects.

[0100] Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field and related fields without creative work should fall within the scope of protection of the present invention. The structures, devices and operating methods not specifically described and explained in the present invention are implemented according to the conventional means in the field unless otherwise specified and limited.

Claims

1. An intelligent data optimization management system for high-voltage resonant reactance experiments, comprising a data management center, characterized in that: The data management center is communicatively connected with a data acquisition module, a data preprocessing module, a resonance state analysis module, an environmental interference analysis module, an accuracy assessment module and an experiment optimization suggestion module, wherein electrical signals are connected between the modules; The data acquisition module is used to collect the original data of various parameters during the high-voltage resonant reactance experiment, monitor the experimental environment, and obtain external environmental factor data; The data preprocessing module is used to preprocess the collected raw data and external environmental factor data to extract the high-voltage resonant reactance experimental characteristics and environmental factor characteristics; The resonance state analysis module analyzes the pre-processed high-voltage resonance reactance experimental data and high-voltage resonance reactance experimental characteristics, identifies data trends and analyzes the resonance state of the circuit; The environmental interference analysis module calculates the environmental interference evaluation index by combining the pre-processed external environmental factor data and the environmental factor characteristics, compares the baseline value of the external environmental factor, and evaluates the interference degree of the external environmental factor on the high-voltage resonant reactance experiment; The accuracy assessment module combines the analysis results of the circuit resonance state and the interference assessment results of external environmental factors to perform accuracy analysis and assess the data change law of the high-voltage resonance reactance experiment; The experiment optimization suggestion module determines the accuracy level of the high-voltage resonant reactance experiment based on the accuracy evaluation result of the high-voltage resonant reactance experiment, and provides suggestions for experimental design and optimization.

2. The intelligent data optimization management system for high-voltage resonant reactance experiment according to claim 1, characterized in that: In the data acquisition module, the process of acquiring the original data of the high-voltage resonant reactance experimental parameters and the external environmental factor data includes: Deploy measurement instruments for high-voltage resonant reactance experiments, and place temperature sensors, humidity sensors, and electromagnetic interference detectors in the experimental environment to monitor the experimental environment; Use the deployed measuring instruments to collect the original data of the inductance, capacitance, test frequency and test voltage of the reactor during the high-voltage resonant reactance experiment; The temperature sensors, humidity sensors and electromagnetic interference detectors are used to collect data on external environmental factors of the experimental environment. The temperature sensors are used to measure and record the temperature of the experimental environment during the experiment. The humidity sensors are used to measure and record the humidity of the experimental environment during the experiment. The electromagnetic interference measuring instruments are used to measure and record the electromagnetic interference level in real time during the experiment. The collected raw data of high-voltage resonant reactance experiments and external environmental factor data are summarized, and the data are marked, and the experimental conditions and timestamps are recorded and stored in the data warehouse.

3. The intelligent data optimization management system for high-voltage resonant reactance experiment according to claim 2, characterized in that: In the data preprocessing module, the process of extracting the high-voltage resonant reactance experimental characteristics and environmental factor characteristics includes: Extract the collected raw data and external environmental factor data from the data warehouse and preprocess them. The preprocessing operation includes data cleaning, data filtering and data calibration steps; Standardize the preprocessed raw data and external environmental factor data to eliminate the impact of dimensional differences between different data, and extract features from the preprocessed and standardized raw data and external environmental factor data; For the raw data of the high-voltage resonant reactance test process, extract the high-voltage resonant reactance test characteristics of the reactor inductance value, capacitance value, test frequency and test voltage. For the reactor inductance value, extract the change trend, average value and standard deviation statistical characteristics of the inductance value over time; for the capacitance value, extract the change trend, average value and standard deviation statistical characteristics of the capacitance value over time; for the test frequency, extract the frequency stability and fluctuation range characteristics; for the test voltage, extract the voltage peak value, average value and waveform characteristics; For external environmental factor data, extract the environmental factor characteristics of temperature, humidity and electromagnetic interference. For temperature, extract the temperature change trend, maximum value, minimum value and average value characteristics; for humidity characteristics, extract the humidity change trend, maximum value, minimum value and average value characteristics; for electromagnetic interference characteristics, extract the intensity, frequency distribution and duration characteristics of electromagnetic interference; The extracted data of high-voltage resonant reactance experimental features and environmental factor features are integrated to obtain a comprehensive feature set.

4. The intelligent data optimization management system for high-voltage resonant reactance experiment according to claim 3 is characterized in that: In the resonance state analysis module, the process of identifying data trends and analyzing the circuit resonance state includes: Traverse the preprocessed high-voltage resonant reactance test data, extract the high-voltage resonant reactance test features from the comprehensive feature set, and perform time series analysis on the inductance value, capacitance value, test frequency and test voltage features to identify the change trend over time; Perform fast Fourier transform analysis on voltage and current signals to determine the resonance peak in the frequency domain, and calculate the power spectrum density of the signal to identify the frequency range where the energy is concentrated; The theoretical resonant frequency of the circuit is calculated based on the values ​​of inductance and capacitance, and the phase difference between the voltage and current signals is analyzed. Combined with the experimental characteristics of high-voltage resonant reactance, the resonance state evaluation index is calculated to quantitatively analyze the resonant state of the circuit. Use the circuit theory model to fit the experimental data, calculate the circuit behavior evaluation index, verify the circuit behavior, identify and analyze abnormal data points related to the resonant state, and determine whether the circuit is in a resonant state.

5. The intelligent data optimization management system for high-voltage resonant reactance experiment according to claim 4 is characterized in that: The expression of the resonance state evaluation index is: Where R is the resonance state evaluation index, n is the total number of frequency points measured in the experiment, and f i is the frequency of the ith measurement point in the experiment, f0 is the theoretical resonant frequency, L is the inductance measured in the experiment, C is the capacitance measured in the experiment, σ i is the standard deviation of the frequency of the ith measurement point in the experiment, V φ is the phase difference between voltage and current, φ max is the maximum allowed phase difference, P peak is the peak value in the power spectrum density, P ref The value of R ranges from 0 to 1 as the reference power spectral density peak; The expression of the circuit behavior evaluation index is: Δf=f i -f0; Where S is the circuit behavior evaluation index, n is the total number of frequency points measured in the experiment, G i is the power value of the ith measurement point in the experiment, G0 is the power value predicted by the circuit theory model, G ref is the reference power value, Z i is the impedance value of the ith measurement point in the experiment, Z0 is the impedance value predicted by the circuit theory model, and Z ref is the reference impedance value, Δf is the deviation between the measured frequency and the theoretical resonant frequency, and f ref is the reference frequency, and the value range of S is 0 to 1.

6. The intelligent data optimization management system for high-voltage resonant reactance experiment according to claim 5, characterized in that: In the environmental interference analysis module, the process of obtaining the environmental interference assessment index includes: Extract the environmental factor characteristics related to the high-voltage resonant reactance experiment from the pre-processed external environmental factor data, and analyze the temperature change trend, humidity change trend and electromagnetic interference intensity; Set the baseline value of external environmental factors, compare the current environmental factor data with the baseline value, calculate the environmental interference assessment index, and quantify the degree of interference of external environmental factors on the experiment; Preset the interference assessment threshold, compare the environmental interference assessment index with the interference assessment threshold, comprehensively analyze the degree of interference of environmental factors on the experiment, and judge the severity of the interference.

7. The intelligent data optimization management system for high-voltage resonant reactance experiment according to claim 6, characterized in that: The expression of the environmental interference assessment index is: Among them, E is the environmental interference assessment index, m is the total number of environmental factor measurement points in the experiment, T j is the temperature value of the jth environmental factor measurement point in the experiment, T ref is the reference value of temperature, T max is the maximum allowable temperature deviation, H j is the humidity value of the jth environmental factor measurement point in the experiment, H ref is the reference value of humidity, H max is the maximum allowable humidity deviation, I peak is the peak intensity of electromagnetic interference, I ref is the reference value of electromagnetic interference, and the value range of E is 0 to 1.

8. The intelligent data optimization management system for high-voltage resonant reactance experiment according to claim 7, characterized in that: In the accuracy assessment module, the accuracy analysis process includes: Combining the analysis results of the circuit resonance state and the interference evaluation results of the external environmental factors, a resonance state evaluation index and an environmental interference evaluation index are obtained; Draw a curve of the resonance state evaluation index changing over time, analyze its stability, volatility and change trend in different time periods, and draw a curve of the environmental interference evaluation index changing over time, analyze the dynamic changes of environmental factors and their potential impact on the circuit resonance state; According to the experimental environment conditions and the requirements of the high-voltage resonant reactance experiment, weights are assigned to the resonance state evaluation index and the environmental interference evaluation index. The accuracy evaluation coefficient is calculated by combining the circuit resonance state evaluation index and the environmental interference evaluation index and their weights, and the accuracy of the experimental results is analyzed. Based on the accuracy assessment coefficient and its analysis results, different accuracy levels are set, namely, level one accuracy level, level two accuracy level, level three accuracy level and level four accuracy level. The accuracy of the accuracy level increases step by step from level one to level four, and a corresponding accuracy assessment threshold is set for each accuracy level.

9. The intelligent data optimization management system for high-voltage resonant reactance experiment according to claim 8, characterized in that: The expression of the accuracy evaluation coefficient is: Among them, AP is the accuracy evaluation coefficient, R is the resonance state evaluation index, and R ref is the reference value of the resonance state evaluation index, R max is the maximum allowable resonant state deviation, E is the environmental interference assessment index, and E ref is the benchmark value of the environmental interference assessment index, E max is the maximum allowed environmental interference deviation, w1 and w2 are the weights of the resonance state evaluation index and the environmental interference evaluation index, respectively, and the value range of AP is 0 to 1; The plurality of accuracy levels correspond to the plurality of accuracy assessment thresholds, wherein the accuracy assessment thresholds include an upper threshold and a lower threshold; The multiple accuracy levels and the multiple accuracy assessment thresholds satisfy the following relationship: First level accuracy AP H ≤AP<1; Second level accuracy level AP M ≤AP <AP H ; Level 3 accuracy grade AP L ≤AP <AP M ; Grade 4 accuracy level 0 <AP<AP L ; Among them, AP is the accuracy assessment coefficient, AP H is the lower threshold corresponding to the first level of accuracy and the upper threshold corresponding to the second level of accuracy, AP M is the lower threshold corresponding to the second level accuracy level and the upper threshold corresponding to the third level accuracy level, AP L is the lower threshold corresponding to the third level of accuracy and the upper threshold corresponding to the fourth level of accuracy, AP H =0.9, AP M =0.75, AP L =0.

5.

10. The intelligent data optimization management system for high-voltage resonant reactance experiment according to claim 9, characterized in that: In the experiment optimization suggestion module, the process of providing suggestions for experiment design and optimization includes: Analyze the accuracy level of the current experiment based on the calculated accuracy evaluation coefficient, and compare the accuracy evaluation coefficient with the preset accuracy level threshold to determine the accuracy level of the current experiment; According to the accuracy evaluation results, analyze the experimental parameters and environmental factors that cause the experimental results to deviate, check the experimental parameters and environmental factors, and put forward optimization suggestions for adjusting the experimental parameters and environmental factors; According to the optimization suggestions, iteratively optimize the experimental plan and adjust the experimental parameters and experimental environment factors; Conduct experimental verification under optimized experimental conditions, collect data and re-evaluate the accuracy level of the experiment. Based on the verification results, continuously adjust and optimize the experimental plan until the expected accuracy requirements are met. Record the optimization suggestions and implementation results, and generate an experimental report containing optimization suggestions and expected effects.

Images