Method and system for comprehensively measuring electrical parameters of electromechanical equipment

Abstract

The invention discloses an electromechanical equipment electrical parameter comprehensive measurement method and system, and relates to the technical field of electrical engineering, and the method comprises the following steps: analyzing the impedance state of a variable-frequency and variable-speed motor at each sampling time point in the operation process, comparing the obtained impedance data with the rated condition reference impedance, and determining the impedance state of the variable-frequency and variable-speed motor; analyzing the resistance steady-state degree of the variable-frequency and variable-speed motor in the operation process; in combination with dynamic impedance, harmonic coupling characteristics and power fluctuation characteristics, an electrical health score is calculated based on a health evaluation model, and the electrical health level embodied by current electrical parameter characteristics of the motor is comprehensively reflected; judging whether the current electrical state of the variable-frequency and variable-speed motor is healthy operation or not, and taking the obtained electrical health evaluation of the corresponding grade as a corresponding electrical parameter measurement result of the current variable-frequency and variable-speed motor; according to the invention, the real-time diagnosis and measurement requirements of healthy operation of the equipment are met, and the real operation state of the variable-frequency and variable-speed motor in the electromechanical equipment under complex working conditions is revealed.

Description

Technical Field

[0001] The present invention relates to the field of electrical engineering technology, and in particular to a method and system for comprehensively measuring electrical parameters of electromechanical equipment. Background Art

[0002] In the field of electrical engineering, electromechanical equipment, as a core component of power conversion and energy efficiency control, is widely used in multiple industries such as industrial automation, intelligent manufacturing, and energy equipment. With the rapid development of industrial control technology, variable-frequency speed-regulating motors have gradually become the mainstream drive devices in various types of electromechanical equipment due to their advantages of energy saving, high efficiency, and flexible speed regulation. The electrical behavior of variable-frequency speed-regulating motors during operation is complex and changeable, and their electrical parameter measurement requirements far exceed those of traditional equipment, requiring higher measurement accuracy, a wider response range, and deeper dynamic characteristic recognition capabilities to support more sophisticated status monitoring and performance optimization in order to ensure the healthy operation of electromechanical equipment.

[0003] The existing electrical parameter measurement technology for variable frequency speed regulation motors in electromechanical equipment generally still remains at the stage of monitoring the basic steady-state parameters of voltage, current, active power, and power factor. Under the conditions of high-frequency variable load operation, periodic impact load, and multi-modal intelligent control intervention, the electrical parameter fluctuations of variable frequency speed regulation motors often show the characteristics of strong instantaneity, high frequency, and prominent nonlinear characteristics; and traditional measurement methods are difficult to effectively reflect the deep-seated factors of harmonic coupling, dynamic impedance changes, and transient power fluctuations, and it is difficult to support the real-time diagnosis and measurement needs of the healthy operation of the equipment, resulting in the measurement results being difficult to reveal the true operating status of the variable frequency speed regulation motors in electromechanical equipment under complex working conditions.

[0004] The limitations of current variable-frequency speed regulation motor electrical parameter measurement technology are mainly due to the measurement concept being limited to steady-state parameters, the limited bandwidth of the measurement equipment, and the algorithm model's lack of dynamic characteristics and coupling feature analysis capabilities; when the equipment is in high-frequency operation or intelligent control and adjustment state, traditional measurement equipment has difficulty capturing rapidly changing current slopes, phase interference between harmonics, and power mutation behaviors, resulting in the loss of important characteristic information; this measurement blind spot not only distorts the evaluation of the matching between the equipment's actual workload and electrical parameters, but also easily conceals the hidden risks of harmonic superposition, local heating, and control instability caused by power supply disturbances, load fluctuations, and control anomalies; once these abnormal behaviors are not identified in a timely manner and continue to be amplified, they may lead to serious consequences such as decreased equipment efficiency, abnormally increased energy consumption, operational jitter, overheating damage, and even insulation breakdown, threatening production continuity and equipment safety and reliability. Summary of the Invention

[0005] In view of the deficiencies in the prior art, the present invention provides a method and system for comprehensive measurement of electrical parameters of electromechanical equipment, which solves the problems in the above-mentioned background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A method for comprehensive measurement of electrical parameters of electromechanical equipment, comprising the following steps;

[0007] S1. Analyze the impedance state of the variable frequency speed regulating motor at each sampling time point during operation;

[0008] S2. Analyze the resistance steady-state degree of the variable frequency speed regulating motor during operation;

[0009] S3. Analyze the electrical health level of the variable frequency speed regulating motor as reflected by the electrical parameters measured during operation;

[0010] S4. Determine whether the current electrical state of the variable frequency speed regulating motor is healthy operation, and use the obtained corresponding level of electrical health evaluation as the corresponding electrical parameter measurement result of the current variable frequency speed regulating motor.

[0011] Preferably, the specific steps of S1 include:

[0012] S11. Deploy a Hall effect current sensor and a high-voltage differential voltage probe in the power supply circuit of the variable frequency speed regulating motor in the electromechanical equipment. At the same time, integrate an electrical parameter edge computing terminal in the distribution box connected to the power supply circuit of the variable frequency speed regulating motor. The electrical parameter edge computing terminal is used to perform real-time calculations on the harmonic coupling of relevant electrical parameters, extract power transient characteristics, and display information.

[0013] S12. Using a Hall effect current sensor deployed in the power supply circuit of the variable frequency speed regulating motor, and with a set time ∆t as a sampling interval, perform real-time sampling of the input current waveform state in the power supply circuit of the variable frequency speed regulating motor to obtain an instantaneous current value Iss at each sampling time point;

[0014] S13. Based on the instantaneous current value Iss at each sampling time point obtained in step S12 and the set sampling interval ∆t, and in combination with the difference algorithm, after dimensionless processing, analyze the instantaneous input current change at each sampling time point in the power supply circuit of the variable frequency speed regulation motor to obtain the instantaneous current change rate Xix at each sampling time point, which is specifically obtained by the following formula:

[0015] ;

[0016] Where, Expressed as the instantaneous current change rate at the i-th sampling time point, Expressed as the instantaneous current value at the i-th sampling time point, It is represented as the instantaneous current value at the i+1th sampling time point.

[0017] Preferably, the specific step S1 further includes:

[0018] S14, using a high-voltage differential voltage probe deployed in the power supply circuit of the variable-frequency speed regulating motor, and with a set time length ∆t as a sampling interval, sampling the input voltage waveform state in the power supply circuit of the variable-frequency speed regulating motor in real time to obtain an instantaneous voltage value Vss at each sampling time point;

[0019] S15. Correlate the instantaneous current change rate Xix at each sampling time point obtained in step S13 with the instantaneous voltage value Vss and instantaneous current value Iss at the corresponding sampling time point. After dimensionless processing, analyze the impedance state of the variable frequency speed regulating motor at each sampling time point during operation to obtain the equivalent impedance value Xzk at each sampling time point, which is specifically obtained by the following formula:

[0020] ;

[0021] Where, Expressed as the equivalent impedance value at the i-th sampling time point, Expressed as the instantaneous voltage value at the i-th sampling time point, It is represented as the instantaneous current value at the i-th sampling time point, where Expressed as a frequency response sensitivity correction factor, it is used to adjust the sensitivity under the sampling frequency response.

[0022] Preferably, the specific steps of S2 include:

[0023] S21. By indexing the nameplate parameters of the variable frequency speed regulating motor and the relevant parameters in the manufacturer's technical specification manual, the rated operating voltage value and the rated operating current value of the variable frequency speed regulating motor are correlated, and the reference resistance value Rck of the variable frequency speed regulating motor is obtained by combining the calculation formula of Ohm's law;

[0024] S22. Compare the equivalent impedance value Xzk at each sampling time point obtained in step S15 with the reference resistance value Rck of the variable frequency speed regulation motor. If the equivalent impedance value Xzk at the corresponding sampling time point is equal to the reference resistance value Rck of the variable frequency speed regulation motor, record the sampling time point corresponding to the current equivalent impedance value Xzk as a normal sampling time point. Otherwise, record the sampling time point corresponding to the current equivalent impedance value Xzk as an abnormal sampling time point. Count the number Nzc of normal sampling time points and the number Nyc of abnormal sampling time points of the impedance state of the variable frequency speed regulation motor during operation.

[0025] Preferably, the specific step S2 further includes:

[0026] S23, according to the equivalent impedance value Xzk of each sampling time point obtained in step S15, and combined with the statistical averaging algorithm, obtain the average equivalent impedance value Xzk of the variable frequency speed regulation motor during operation avg, perform difference calculation on it and the reference resistance value Rck in step S21 to obtain the equivalent impedance offset value Ppy of the variable frequency speed regulation motor during operation;

[0027] S24. Based on the equivalent impedance offset value Ppy of the variable frequency speed regulation motor during operation in step S23, the equivalent impedance offset value Ppy is correlated with the number of normal sampling time points Nzc and the number of abnormal sampling time points Nyc of the impedance state of the variable frequency speed regulation motor during operation in step S22. After dimensionless processing, the steady-state degree of resistance of the variable frequency speed regulation motor during operation is analyzed to obtain the abnormal resistance degree coefficient Zzk of the variable frequency speed regulation motor during operation.

[0028] Preferably, the specific steps of S3 include:

[0029] S31. Based on the Hall effect current sensor and high-voltage differential voltage probe deployed in the power supply circuit of the variable frequency speed regulating motor, the complete voltage and current waveform time domain signals are captured in real time in a broadband high-frequency sampling manner. The captured relevant time domain signals are sent to the electrical parameter edge computing terminal for domain-frequency conversion, and combined with the fast Fourier transform algorithm, the amplitude data information is extracted. At the same time, the phase data information is obtained after calculation based on the inverse tangent function, wherein the amplitude data information includes the amplitude Fxb of each order harmonic and the amplitude Fjb of the fundamental wave, and the phase data information includes the phase angle Jxb of each order harmonic and the phase angle Jjb of the fundamental wave;

[0030] S32. Based on the amplitude data and phase data information obtained in step S31, after feature extraction, the amplitude of each order harmonic Fxb and the corresponding harmonic phase angle Jxb are correlated. After dimensionless processing, the harmonic coupling of the variable frequency speed regulating motor during operation is analyzed to obtain the odd harmonic coupling coefficient Xoh, which is specifically obtained by the following formula:

[0031] ;

[0032] Where, Expressed as the j-th order harmonic amplitude, It is expressed as the j-th order harmonic phase angle, j = 3, 5, 7, ..., n, n represents the odd order, Expressed as the fundamental amplitude, Expressed as the fundamental phase angle, where It is expressed as the cosine value of the phase difference between the j-th order harmonic and the fundamental wave to reflect the energy interference phase. If the value is close to ±1, it means that the harmonics are synchronized or anti-synchronized.

[0033] Preferably, the specific step S3 further includes:

[0034] S33, the instantaneous current value Iss at each sampling time point obtained in step S12 is associated with the corresponding instantaneous voltage value Vss in step S14, and the instantaneous power value Pgv at each sampling time point is obtained. In combination with the power fluctuation evaluation algorithm, the degree of transient power imbalance of the variable frequency speed regulating motor during operation is analyzed to obtain the transient power imbalance coefficient Xsh, which is specifically obtained by the following formula:

[0035] ;

[0036] Where T is the sampling time, Expressed as the instantaneous power change rate, Expressed as the average power change rate, It is expressed as the deviation of the instantaneous power change rate from the average power change rate.

[0037] Preferably, the specific step S3 further includes:

[0038] S34. Inputting the heterodyne resistance coefficient Zzk, odd harmonic coupling coefficient Xoh, and transient power imbalance coefficient Xsh of the variable frequency speed regulating motor during operation into the electrical parameter edge computing terminal, and combining it with the electrical parameter health score evaluation model, analyze the electrical health level reflected by the electrical parameters measured during operation of the variable frequency speed regulating motor to obtain the electrical health evaluation index Zpj, which is specifically obtained by the following formula:

[0039] ;

[0040] In the formula, e represents a natural constant, 、 and They are respectively expressed as the weight values of the heterogeneous reactance coefficient Zzk, the odd harmonic coupling coefficient Xoh and the transient power imbalance coefficient Xsh, and A is expressed as the correction constant. It is represented as a nonlinear function that maps values between 0 and 1.

[0041] Preferably, the specific steps of S4 include:

[0042] S41. Based on the value of the electrical health evaluation index Zpj in step S34, determine whether the electrical state of the current variable frequency speed regulation motor is healthy, and obtain the corresponding level of electrical health evaluation. The specific contents are as follows:

[0043] If the value of the electrical health evaluation index Zpj is within the range When the current electrical status of the variable frequency speed regulating motor is determined to be healthy, a first-level electrical health evaluation is obtained;

[0044] If the value of the electrical health evaluation index Zpj is within the range When the current electrical status of the variable frequency speed regulating motor is judged to be unhealthy, a secondary electrical health evaluation is obtained;

[0045] S42. Input the electrical health evaluation of the corresponding level of the current variable frequency speed regulation motor into the electrical parameter edge computing terminal for real-time display as the electrical parameter measurement result corresponding to the current variable frequency speed regulation motor.

[0046] A comprehensive measurement system for electrical parameters of electromechanical equipment, including an impedance analysis module, a steady-state analysis module, a health analysis module and a measurement result determination module;

[0047] The impedance analysis module is used to analyze the impedance state of the variable frequency speed regulation motor at each sampling time point during operation;

[0048] The steady-state analysis module is used to analyze the resistance steady-state degree of the variable-frequency speed-regulating motor during operation;

[0049] The health analysis module is used to analyze the electrical health level of the variable frequency speed regulation motor as reflected by the electrical parameters measured during operation;

[0050] The measurement result judgment module is used to determine whether the electrical state of the current variable frequency speed regulation motor is healthy operation, and use the obtained corresponding level of electrical health evaluation as the corresponding electrical parameter measurement result of the current variable frequency speed regulation motor.

[0051] The present invention provides a method and system for comprehensive measurement of electrical parameters of electromechanical equipment, which has the following beneficial effects:

[0052] (1) By introducing multi-source high-bandwidth sensor acquisition, dynamic impedance modeling, harmonic coupling characteristics analysis and transient power imbalance quantification measurement and analysis, it can effectively break through the traditional limitation of only steady-state electrical parameter measurement, and comprehensively improve the real operating status of variable frequency speed regulation motors under complex working conditions of high-frequency load changes, nonlinear response and intelligent control intervention; this method not only realizes real-time monitoring of basic parameters such as voltage, current and power, but also conducts deep feature extraction and quantitative evaluation of dynamic impedance characteristics, harmonic coupling behavior and transient power fluctuations to ensure the healthy operation of electromechanical equipment.

[0053] (2) By deploying a high-bandwidth voltage and current acquisition device in the power supply circuit of the variable frequency speed regulation motor and combining it with real-time differential operation and dynamic impedance modeling, the instantaneous voltage and current dynamic behavior of the equipment during operation can be accurately captured, and the real-time analysis of the dynamic equivalent resistance change can be achieved; compared with the traditional single resistance estimation method based on steady-state Ohm's law, it can not only reflect the normal resistance level of the equipment under stable load, but also dynamically monitor the impedance response behavior under transient conditions such as startup, speed regulation, and load mutation, thereby greatly improving the accuracy and timeliness of impedance stability and equipment adaptability assessment.

[0054] (3) Based on the fast Fourier transform, the harmonic amplitude and phase information are extracted, and the harmonic coupling factor calculation model is introduced to realize the quantitative analysis of the relationship between the energy of each order high harmonic and the fundamental wave phase during the operation of the variable frequency speed regulation motor; compared with the traditional variable frequency speed regulation motor electrical parameter measurement technology, the present invention can more comprehensively identify the phase superposition effect between odd harmonics and fundamental wave, accurately reflect the energy coupling interference problem caused by power supply harmonic pollution, insufficient electromagnetic compatibility of equipment and control strategy mismatch, provide a quantitative basis for harmonic suppression, filtering optimization and power supply quality improvement, and significantly enhance the ability to identify complex harmonic interference. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 This is a flow chart of a comprehensive measurement method for electrical parameters of electromechanical equipment according to the present invention;

[0056] Figure 2 This is a block diagram of a comprehensive measurement system for electrical parameters of electromechanical equipment according to the present invention;

[0057] Figure 3 This is the logical thinking diagram of step S1 and step S2 of the present invention;

[0058] Figure 4 This is the logical thinking diagram of step S3 of the present invention. DETAILED DESCRIPTION

[0059] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0060] Example 1

[0061] See also Figure 1 , the present invention provides a method for comprehensive measurement of electrical parameters of electromechanical equipment, comprising the following steps;

[0062] S1. Analyze the impedance state of the variable frequency speed regulating motor at each sampling time point during operation;

[0063] S2. Analyze the resistance steady-state degree of the variable frequency speed regulating motor during operation;

[0064] S3. Analyze the electrical health level of the variable frequency speed regulating motor as reflected by the electrical parameters measured during operation;

[0065] S4. Determine whether the current electrical state of the variable frequency speed regulating motor is healthy operation, and use the obtained corresponding level of electrical health evaluation as the corresponding electrical parameter measurement result of the current variable frequency speed regulating motor.

[0066] In this embodiment, by sequentially analyzing the impedance changes, steady-state characteristics, and electrical health levels of the variable-frequency speed-regulating motor during operation, a deep integration from capturing transient response characteristics to long-term operational stability assessment is achieved. This not only reveals the deep electrical behavior of the equipment under complex working conditions, including dynamic impedance, harmonic interference, and power fluctuations, but also provides real-time, graded operational status judgments based on a quantitative health evaluation model. This breaks through the traditional technical bottleneck of only being able to statically measure basic electrical parameters and having difficulty dynamically perceiving the health status, and enhances the support capabilities for operational risk identification, performance evaluation, and intelligent operation and maintenance decision-making throughout the life cycle of the variable-frequency speed-regulating motor, providing unique technical advantages for realizing intelligent and refined health management of electromechanical equipment.

[0067] Example 2

[0068] Please refer to Figure 1 and Figure 3 , specifically: S1 specific steps include:

[0069] S11. Deploy a Hall effect current sensor and a high-voltage differential voltage probe in the power supply circuit of the variable frequency speed regulating motor in the electromechanical equipment. At the same time, integrate an electrical parameter edge computing terminal in the distribution box connected to the power supply circuit of the variable frequency speed regulating motor. The electrical parameter edge computing terminal is used to perform real-time calculations on the harmonic coupling of relevant electrical parameters, extract power transient characteristics, and display information.

[0070] It should be noted that the electrical parameter edge computing terminal is a real-time data processing and analysis unit deployed near the power supply circuit of the variable frequency speed regulation motor. Its role is to perform local rapid calculation and feature extraction on the collected high-bandwidth voltage and current signals, avoiding bandwidth occupation and processing delays caused by uploading a large amount of raw data. Functions include: performing fast Fourier transform on the real-time collected electrical parameter signals to extract the amplitude and phase information of each order harmonic, and analyzing the harmonic coupling behavior in real time; dynamically calculating the instantaneous power and its fluctuation characteristics based on the voltage and current data, and quantifying the transient response of the equipment; and locally visualizing the analysis results to provide immediate, efficient, and low-latency data support for equipment status monitoring, risk assessment, and operation and maintenance decisions.

[0071] S12. Using a Hall effect current sensor deployed in the power supply circuit of the variable frequency speed regulating motor, and with a set time ∆t as a sampling interval, perform real-time sampling of the input current waveform state in the power supply circuit of the variable frequency speed regulating motor to obtain an instantaneous current value Iss at each sampling time point;

[0072] It should be noted that the instantaneous current value Iss refers to the instantaneous value of the current signal at each sampling time point, collected in real time by the Hall effect current sensor deployed in the power supply circuit during the operation of the variable frequency speed regulation motor according to the set sampling interval ∆t. It reflects the actual current flowing through the power supply circuit of the motor at that moment. The instantaneous current value Iss, as the basic data of dynamic current behavior, can accurately capture the current fluctuation characteristics of the motor under transient operating conditions such as startup, speed regulation, and load changes, providing the necessary raw data support for subsequent current change rate analysis, impedance characteristic calculation, and power characteristic evaluation. The instantaneous current value Iss is continuously acquired at a high sampling frequency by the Hall effect current sensor, forming a complete waveform sequence reflecting the change of current over time. It is the key foundation for dynamic electrical parameter measurement and deep feature extraction.

[0073] S13. Based on the instantaneous current value Iss at each sampling time point obtained in step S12 and the set sampling interval ∆t, and in combination with the difference algorithm, after dimensionless processing, analyze the instantaneous input current change at each sampling time point in the power supply circuit of the variable frequency speed regulation motor to obtain the instantaneous current change rate Xix at each sampling time point, which is specifically obtained by the following formula:

[0074] ;

[0075] Where, Expressed as the instantaneous current change rate at the i-th sampling time point, Expressed as the instantaneous current value at the i-th sampling time point, It is represented as the instantaneous current value at the i+1th sampling time point.

[0076] It should be noted that the formula for the instantaneous current change rate Xix in step S13 directly addresses the technical shortcomings mentioned in the background technology, which are the difficulty in capturing the rapid dynamic response characteristics and load disturbance behavior of the variable frequency speed regulation motor. The formula quantifies the speed of change and fluctuation intensity of the current over time by time-normalizing the instantaneous current difference of consecutive sampling points, making up for the shortcomings of traditional measurements that only stay at static monitoring of the current amplitude and are difficult to identify rapidly changing behaviors. When the variable frequency speed regulation motor is in high-frequency speed regulation or load mutation, although the instantaneous amplitude of the current does not change much, the rate of change will increase sharply. At this time, the instantaneous current change rate Xix value increases rapidly, which can reflect the impact and response capability of the equipment in real time and help detect potential abnormalities in advance. In steady-state operation or light-load stable conditions, the instantaneous current change rate Xix changes slowly or is close to zero, indicating that the motor state is stable. The instantaneous current change rate Xix not only improves the sensitive identification capability of instantaneous disturbances, control anomalies or load mismatch phenomena, but also provides a dynamic response characteristic data basis for subsequent impedance, power fluctuation and health assessment.

[0077] Specifically, the steps of S1 also include:

[0078] S14, using a high-voltage differential voltage probe deployed in the power supply circuit of the variable-frequency speed regulating motor, and with a set time length ∆t as a sampling interval, sampling the input voltage waveform state in the power supply circuit of the variable-frequency speed regulating motor in real time to obtain an instantaneous voltage value Vss at each sampling time point;

[0079] It should be noted that the instantaneous voltage value, Vss, refers to the instantaneous voltage value at each sampling time point during the operation of a variable-frequency speed-regulating motor. It is captured in real time by a high-voltage differential voltage probe deployed in the power supply circuit according to the set sampling interval ∆t. This value reflects the actual voltage state of the motor's power supply terminal at that moment. The instantaneous voltage value, Vss, can truly restore the voltage waveform characteristics of the motor under steady-state or dynamic operating conditions (variable load, start-stop, and speed regulation). It is particularly important for capturing high-frequency disturbances, voltage sags, or transient waveforms. This data is obtained by continuous, high-bandwidth sampling of the potential difference across the motor power supply using a high-voltage differential voltage probe. It serves as an important basic data source for subsequent dynamic impedance analysis, instantaneous power calculation, and harmonic characteristic extraction, and plays an indispensable supporting role in fully characterizing the motor's electrical parameter behavior.

[0080] S15. Correlate the instantaneous current change rate Xix at each sampling time point obtained in step S13 with the instantaneous voltage value Vss and instantaneous current value Iss at the corresponding sampling time point. After dimensionless processing, analyze the impedance state of the variable frequency speed regulating motor at each sampling time point during operation to obtain the equivalent impedance value Xzk at each sampling time point, which is specifically obtained by the following formula:

[0081] ;

[0082] Where, Expressed as the equivalent impedance value at the i-th sampling time point, Expressed as the instantaneous voltage value at the i-th sampling time point, It is represented as the instantaneous current value at the i-th sampling time point, where Expressed as a frequency response sensitivity correction factor, it is used to adjust the sensitivity under the sampling frequency response.

[0083] It should be noted that the formula in step S15 uses the ratio of the instantaneous voltage Vss to the instantaneous current Iss as the basic calculation value of the equivalent impedance, and further introduces the instantaneous current change rate Xix and the frequency response sensitivity correction factor Dynamic correction is performed to address the shortcomings of traditional resistance measurement mentioned in the background technology, which is only based on the steady-state voltage-current ratio and is difficult to reflect the dynamic response and frequency disturbance effects. Through this formula, not only the basic impedance characteristics of the motor in the steady state can be captured, but also the real-time impact of current mutations, load fluctuations, and high-frequency control conditions on the impedance behavior can be dynamically reflected. When the variable-frequency speed-regulating motor is rapidly speed-regulated or suddenly loaded, the instantaneous current change rate Xix increases significantly, which is amplified by the correction term and reflected in the equivalent impedance value Xzk, so that the impedance model responds to changes in the controlled dynamic characteristics of the equipment in a timely manner, thereby effectively improving the characterization capability of dynamic impedance fluctuations, non-steady-state behavior and response sensitivity. This makes the equivalent impedance value Xzk a key indicator for evaluating the electrical health, load matching and dynamic adaptability of the motor.

[0084] In this embodiment, through the multi-dimensional acquisition and in-depth analysis process described in the above step S1, full time domain analysis and feature extraction of the dynamic behavior of the electrical parameters of the variable frequency speed regulation motor can be achieved, effectively breaking through the bottleneck of the existing shallow monitoring technology based only on steady-state parameters; compared with the traditional method of only monitoring the surface characteristics of voltage, current, and power, a high-bandwidth Hall effect current sensor and a high-voltage differential voltage probe are integrated in the power supply circuit, and combined with high-frequency real-time sampling technology and edge computing architecture, it is possible to fully capture high-frequency transients, current mutations and voltage disturbance behaviors during the operation of the equipment without increasing the signal transmission burden; by performing differential processing on the continuously sampled instantaneous current signal, the instantaneous current change rate Xix is obtained, and further combined with the synchronously obtained instantaneous voltage signal, an equivalent impedance curve reflecting the dynamic electrical characteristics of the equipment is constructed in real time; especially when introducing the frequency response sensitivity correction factor On the basis of this, it can flexibly adjust the sensitivity to dynamic response signals according to the equipment operating frequency and measurement response characteristics, and effectively suppress the risk of sampling noise amplification and misjudgment; this method can not only reveal the impedance response changes of the equipment in the non-steady-state process of startup, load change, and speed regulation, but also keenly capture hidden problems such as electrical impedance anomalies, load mismatch, poor contact and insulation degradation, but also provide a complete and accurate impedance data basis for subsequent harmonic coupling analysis and transient power evaluation, significantly improving the comprehensiveness, real-time and reliability of the electrical status assessment of variable frequency speed regulation motors; it is particularly suitable for industrial application scenarios such as intelligent manufacturing, variable frequency control and efficient operation and maintenance that require in-depth analysis of dynamic behavior and nonlinear characteristics, and has dynamic adaptability and precise insight capabilities that are difficult to match by traditional methods.

[0085] Example 3

[0086] Please refer to Figure 1 and Figure 3 , specifically: S2 specific steps include:

[0087] S21. By indexing the nameplate parameters of the variable frequency speed regulating motor and the relevant parameters in the manufacturer's technical specification manual, the rated operating voltage value and the rated operating current value of the variable frequency speed regulating motor are correlated, and the reference resistance value Rck of the variable frequency speed regulating motor is obtained by combining the calculation formula of Ohm's law;

[0088] It should be noted that the reference resistance value Rck refers to the theoretical electrical impedance characteristic value based on the rated operating state of the variable frequency speed regulation motor, which reflects the ohmic relationship between the voltage and current of the motor under ideal and healthy operating conditions; the reference resistance value Rck is obtained by indexing the rated operating voltage and rated operating current values provided in the motor nameplate parameters or the manufacturer's technical specifications, and applying the Ohm's law formula; the reference resistance value Rck is used as the impedance standard under the equipment design or factory reference state, and is used to compare and analyze with the dynamic impedance value obtained during the actual measurement process to determine whether the motor has electrical performance deviation, aging or abnormal behavior, thereby providing a benchmark basis and evaluation reference for resistance stability evaluation, health status determination and operation deviation detection.

[0089] S22. Compare the equivalent impedance value Xzk at each sampling time point obtained in step S15 with the reference resistance value Rck of the variable frequency speed regulation motor. If the equivalent impedance value Xzk at the corresponding sampling time point is equal to the reference resistance value Rck of the variable frequency speed regulation motor, record the sampling time point corresponding to the current equivalent impedance value Xzk as a normal sampling time point. Otherwise, record the sampling time point corresponding to the current equivalent impedance value Xzk as an abnormal sampling time point. Count the number Nzc of normal sampling time points and the number Nyc of abnormal sampling time points of the impedance state of the variable frequency speed regulation motor during operation.

[0090] Specifically, the steps of S2 also include:

[0091] S23, according to the equivalent impedance value Xzk of each sampling time point obtained in step S15, and combined with the statistical averaging algorithm, obtain the average equivalent impedance value Xzk of the variable frequency speed regulation motor during operation avg , perform difference calculation on it and the reference resistance value Rck in step S21 to obtain the equivalent impedance offset value Ppy of the variable frequency speed regulation motor during operation;

[0092] It should be noted that the equivalent impedance offset value Ppy refers to the equivalent impedance mean value Xzk at each sampling moment during the actual operation of the variable frequency speed regulation motor. avgThe deviation difference between the reference resistance value Rck under the theoretical design working conditions is used to quantify the variation of the current actual impedance state of the motor relative to the ideal or healthy benchmark; the equivalent impedance offset value Ppy reflects whether the impedance characteristics of the motor undergo continuous drift or abnormal deviation during long-term operation, load changes or electrical aging, and can reveal whether the equipment has deep-seated hidden dangers such as electrical performance degradation, material aging, winding loss or contact abnormality; through the analysis of the equivalent impedance offset value Ppy, a quantitative assessment of the steady-state performance consistency and health trend of the variable frequency speed regulation motor can be achieved, providing a key reference for early identification of equipment degradation risks, optimization of operation and maintenance strategies, and ensuring stable operation.

[0093] S24. Based on the equivalent impedance offset value Ppy of the variable frequency speed regulating motor during operation in step S23, the equivalent impedance offset value Ppy is correlated with the number of normal sampling time points Nzc and the number of abnormal sampling time points Nyc of the impedance state of the variable frequency speed regulating motor during operation in step S22. After dimensionless processing, the steady-state degree of resistance of the variable frequency speed regulating motor during operation is analyzed to obtain the abnormal resistance degree coefficient Zzk of the variable frequency speed regulating motor during operation, which is specifically obtained by the following formula:

[0094] ;

[0095] In the formula, a1 and a2 are weight values. Expressed as the percentage of abnormal sampling time points;

[0096] It should be noted that the abnormal impedance coefficient Zzk refers to the steady-state health characterization index obtained through comprehensive analysis of the impedance offset value Ppy, the number of normal sampling time points Nzc, and the number of abnormal sampling time points Nyc during the operation of the variable-frequency speed-regulating motor. It is used to reflect the abnormal level of the motor impedance characteristics under dynamic working conditions. The abnormal impedance coefficient Zzk not only takes into account the absolute amplitude of the average impedance offset, but also combines the proportion of abnormal states in the entire cycle. After dimensionless processing, it avoids unit interference and improves the comparability and evaluation consistency between different equipment or different working conditions. The abnormal impedance coefficient Zzk can reveal whether the variable-frequency speed-regulating motor exhibits abnormal behavior with large impedance characteristic fluctuations, frequent abnormal points, or serious steady-state deviations under long-term operation and complex load changes. It is a key indicator for converting dynamic impedance monitoring results into steady-state health judgments, and can provide equipment operation and maintenance personnel with an operation evaluation basis with more trend and stability characteristics, effectively improving the scientific nature of early fault warning and operation and maintenance decisions.

[0097] In this embodiment, the method based on reference resistance comparison and steady-state fluctuation analysis described in the above step S2 further improves the quantitative evaluation capability of the steady-state characteristics of the equipment resistance and the long-term operation consistency in the process of comprehensive measurement of the electrical parameters of the variable frequency speed regulation motor; compared with the traditional method of single measurement of voltage and current which is difficult to reflect the resistance change trend, by indexing the structured information of the nameplate parameters and technical specifications of the variable frequency speed regulation motor, combined with Ohm's law, the reference resistance value Rck of the equipment under rated working conditions is accurately calculated, providing a device design-level benchmark for subsequent impedance fluctuation evaluation; combined with the equivalent impedance value Xzk of each sampling time point obtained in real time in the previous step, not only can it be identified whether the impedance change is in a healthy range based on point-by-point comparison, but also the equivalent impedance offset value Ppy can be extracted through statistical algorithms to comprehensively analyze whether there is a continuous resistance offset and Steady-state imbalance trend; especially on the basis of the linkage analysis of the number of normal sampling time points Nzc and the number of abnormal sampling time points Nyc, it can comprehensively reflect the impedance stability, dynamic consistency and operating health level of the equipment under different working conditions; the advantage is that it not only relies on instantaneous measurement results, but also is based on large-sample statistical trends, which significantly improves the reliability and robustness of the judgment of long-term operating status; the final formed abnormal impedance degree coefficient Zzk is used as a characterization indicator of quantitative abnormal characteristics, which can be used as an important basis for subsequent health level assessment and operation and maintenance strategy formulation; this method is particularly suitable for industrial application scenarios that are sensitive to demands such as long-term performance change trend analysis of variable-frequency speed regulation motors, chronic aging monitoring and steady-state performance management. It effectively overcomes the problem that traditional methods are too sensitive to dynamic fluctuations or ignore the evolution of steady-state characteristics, and realizes early perception and accurate quantification of steady-state health risks of equipment.

[0098] Example 4

[0099] Please refer to Figure 1 and Figure 4 , specifically: S3 specific steps include:

[0100] S31. Based on the Hall effect current sensor and high-voltage differential voltage probe deployed in the power supply circuit of the variable frequency speed regulating motor, the complete voltage and current waveform time domain signals are captured in real time in a broadband high-frequency sampling manner. The captured relevant time domain signals are sent to the electrical parameter edge computing terminal for domain-frequency conversion, and combined with the fast Fourier transform algorithm, the amplitude data information is extracted. At the same time, the phase data information is obtained after calculation based on the inverse tangent function, wherein the amplitude data information includes the amplitude Fxb of each order harmonic and the amplitude Fjb of the fundamental wave, and the phase data information includes the phase angle Jxb of each order harmonic and the phase angle Jjb of the fundamental wave;

[0101] It should be noted that the harmonic amplitude Fxb and fundamental amplitude Fjb respectively represent the energy intensity of each order of higher harmonics and fundamental waves extracted through fast Fourier transform from the voltage and current time domain signals collected from the motor power supply circuit, reflecting the amplitude of different frequency components in the overall signal; the harmonic phase angle Jxb and fundamental phase angle Jjb are the phase information of the corresponding frequency components, used to describe the phase position relationship of these sinusoidal components relative to the time reference; this data is obtained by real-time acquisition of the complete waveform with high bandwidth by the deployed Hall effect current sensor and high-voltage differential voltage probe, and then sent to the edge computing terminal for frequency domain analysis; the amplitude information reflects the contribution of each frequency component to the motor power transmission, helping to identify the impact of higher harmonics on system energy efficiency and stability; the phase information is used to analyze the phase interference characteristics of harmonics and fundamental waves and determine the energy superposition or cancellation effect. It is an important basis for evaluating harmonic coupling behavior, control strategy adaptability and power quality risks.

[0102] S32. Based on the amplitude data and phase data information obtained in step S31, after feature extraction, the amplitude of each order harmonic Fxb and the corresponding harmonic phase angle Jxb are correlated. After dimensionless processing, the harmonic coupling of the variable frequency speed regulating motor during operation is analyzed to obtain the odd harmonic coupling coefficient Xoh, which is specifically obtained by the following formula:

[0103] ;

[0104] Where, Expressed as the j-th order harmonic amplitude, It is expressed as the j-th order harmonic phase angle, j = 3, 5, 7, ..., n, n represents the odd order, Expressed as the fundamental amplitude, Expressed as the fundamental phase angle, where It is expressed as the cosine value of the phase difference between the j-th order harmonic and the fundamental wave to reflect the energy interference phase. If the value is close to ±1, it means that the harmonics are synchronized or anti-synchronized.

[0105] It should be noted that the formula for the odd harmonic coupling coefficient Xoh proposed in step S32 is obtained by normalizing the ratio of the amplitude of each odd harmonic Fxb to the amplitude of the fundamental wave Fjb and the corresponding phase difference cosine The weighted summation is performed to accurately quantify the energy superposition or cancellation characteristics between the odd harmonics of each order and the fundamental wave during the operation of the variable frequency speed regulation motor; this formula is closely related to the shortcomings of the traditional technology pointed out in the background technology that only focuses on the amplitude of the harmonics, ignores the phase interference, and is difficult to reflect the deep impact of harmonics on energy efficiency and stability; the odd harmonic coupling coefficient Xoh not only considers the harmonic energy intensity, but also introduces the phase interference characteristics, which can reveal whether there is synchronous superposition (forward energy interference) or anti-synchronous cancellation (reverse energy interference) between the different order harmonics and the fundamental wave; when the odd harmonic coupling coefficient Xoh is When oh is close to ±1, it means that the harmonics are highly synchronized or anti-synchronized with the fundamental wave, which may cause local system overload, bus current distortion or abnormal equipment heating; conversely, when the odd harmonic coupling coefficient Xoh value is close to 0, it indicates that the harmonic impact is weak or offsets each other, and the risk to system stability is low; therefore, the odd harmonic coupling coefficient Xoh, as a quantitative evaluation indicator of harmonic interference, significantly improves the quantification and judgment accuracy of harmonic impact, helps guide harmonic control, filter design and power quality management, and effectively solves the problems of misjudgment and blind spots caused by phase interference that is difficult to quantify using traditional methods.

[0106] Specifically, the S3 steps also include:

[0107] S33, the instantaneous current value Iss at each sampling time point obtained in step S12 is associated with the corresponding instantaneous voltage value Vss in step S14, and the instantaneous power value Pgv at each sampling time point is obtained. In combination with the power fluctuation evaluation algorithm, the degree of transient power imbalance of the variable frequency speed regulating motor during operation is analyzed to obtain the transient power imbalance coefficient Xsh, which is specifically obtained by the following formula:

[0108] ;

[0109] Where T is the sampling time, Expressed as the instantaneous power change rate, Expressed as the average power change rate, It is expressed as the deviation of the instantaneous power change rate from the average power change rate.

[0110] It should be noted that the calculation formula in step S33 can accurately quantify the power output fluctuation and imbalance of the motor under different loads by performing an integrated root mean square calculation on the deviation between the instantaneous power change rate and the average power change rate during the operation of the variable frequency speed regulation motor. This mechanism effectively solves the deficiency that traditional measurements in the background technology only focus on the average power or power factor and are difficult to capture transient fluctuations and energy instability. Specifically, the transient power imbalance coefficient Xsh reflects the fluctuation intensity of the instantaneous power change rate relative to the global average level within the sampling period T. When the transient power imbalance coefficient Xsh value is large, it indicates that the power response of the equipment is unstable or fluctuates violently, and is easily affected by load disturbances or control anomalies. When the transient power imbalance coefficient Xsh value is small, it indicates that the power output is relatively stable and consistent. Therefore, the transient power imbalance coefficient Xsh, as a quantitative evaluation indicator of energy fluctuation characteristics, provides a scientific basis for dynamic operation state perception, load response evaluation and intelligent control optimization, and effectively improves the comprehensive judgment ability of dynamic energy efficiency stability and operation health under complex operating conditions.

[0111] Specifically, the S3 steps also include:

[0112] S34. Inputting the heterodyne resistance coefficient Zzk, odd harmonic coupling coefficient Xoh, and transient power imbalance coefficient Xsh of the variable frequency speed regulating motor during operation into the electrical parameter edge computing terminal, and combining it with the electrical parameter health score evaluation model, analyze the electrical health level reflected by the electrical parameters measured during operation of the variable frequency speed regulating motor to obtain the electrical health evaluation index Zpj, which is specifically obtained by the following formula:

[0113] ;

[0114] In the formula, e represents a natural constant, 、 and They are respectively expressed as the weight values of the heterogeneous reactance coefficient Zzk, the odd harmonic coupling coefficient Xoh and the transient power imbalance coefficient Xsh, and A is expressed as the correction constant. It is represented as a nonlinear function that maps values between 0 and 1.

[0115] It should be noted that the formula in step S34 achieves quantitative judgment and risk level expression of the overall electrical health status of the variable frequency speed regulation motor by weighted integration of the three core characteristic quantities reflecting different electrical abnormal behaviors, namely the heterogeneous reactance coefficient Zzk, the odd harmonic coupling coefficient Xoh and the transient power imbalance coefficient Xsh, and uses a nonlinear function to normalize and map the results to the range of 0~1; this formula is a direct response to the fact that traditional measurement methods pointed out in the background technology lack the ability to comprehensively analyze dynamic characteristics, harmonic interference and transient fluctuations, and are difficult to form a unified health conclusion; the calculation mechanism of the electrical health evaluation index Zpj comprehensively evaluates the comprehensive operating stability and anti-interference ability of the motor electrical system by integrating multi-source indicators reflecting steady-state consistency, harmonic interference degree and power fluctuation intensity; therefore, the electrical health evaluation index Zpj, as a health index scoring mechanism that integrates multi-dimensional dynamic characteristics, enhances the expressiveness and responsiveness of traditional monitoring methods to the motor operating status under complex working conditions, and provides a quantifiable, gradable and executable basis for intelligent operation and maintenance, early warning scheduling and risk decision-making.

[0116] In this embodiment, through the multi-dimensional feature fusion and health scoring method described in step S3 above, the electrical parameter measurement of the variable frequency speed regulating motor is further expanded from single physical quantity analysis to multi-level comprehensive diagnosis of harmonic interference analysis, power fluctuation characteristic quantification and health index evaluation; based on the voltage and current time domain signals acquired in real time with high bandwidth, the amplitude and phase information of each order harmonic are extracted in combination with the fast Fourier transform algorithm, and the coupling behavior of odd harmonics and fundamental waves is accurately identified through phase cosine analysis, which can comprehensively quantify the deep interference effects of variable frequency control, load disturbance and power supply harmonics on the electrical performance of the equipment; at the same time, the instantaneous power data calculated by correlating the instantaneous current and voltage is analyzed through the rate of change fluctuation to extract the power imbalance characteristics of the equipment during the load change, start-stop or speed regulation process, and quantify the dynamic stability of the energy flow of the equipment. These deep features are not only usable individually, but are also further integrated into the health scoring model. Combining impedance stability, harmonic coupling strength, and power fluctuation, the electrical health evaluation index Zpj is generated based on a nonlinear mapping function. This transformation from multi-source and multi-dimensional to a single health score improves the objectivity, consistency, and real-time nature of health status evaluation, and effectively avoids the errors and one-sidedness caused by single parameter judgment. Ultimately, the electrical health evaluation index Zpj can compress complex and changeable electrical status information into intuitive and quantifiable evaluation values, providing an efficient decision-making basis for equipment operating status monitoring, risk classification management, and intelligent operation and maintenance strategy formulation. It is particularly suitable for industrial application scenarios that require rapid classification and operation and maintenance optimization of variable-frequency motor equipment, and has significant engineering application value and practical promotion significance.

[0117] Example 5

[0118] Please refer to Figure 1, specifically: S4 specific steps include:

[0119] S41. Based on the value of the electrical health evaluation index Zpj in step S34, determine whether the electrical state of the current variable frequency speed regulation motor is healthy, and obtain the corresponding level of electrical health evaluation. The specific contents are as follows:

[0120] If the value of the electrical health evaluation index Zpj is within the range When the current electrical status of the variable frequency speed regulating motor is determined to be healthy, a first-level electrical health evaluation is obtained;

[0121] If the value of the electrical health evaluation index Zpj is within the range When the current electrical status of the variable frequency speed regulating motor is judged to be unhealthy, a secondary electrical health evaluation is obtained;

[0122] S42. Input the electrical health evaluation of the corresponding level of the current variable frequency speed regulation motor into the electrical parameter edge computing terminal for real-time display as the electrical parameter measurement result corresponding to the current variable frequency speed regulation motor.

[0123] It should be noted that the electrical health evaluation of the corresponding level of the current variable frequency speed regulation motor is input into the electrical parameter edge computing terminal for real-time display. Specifically: if the current operating status of the variable frequency speed regulation motor is the first-level electrical health evaluation, the display content of the electrical parameter edge computing terminal is "According to the electrical parameter measurement results of the variable frequency speed regulation motor, the current variable frequency speed regulation motor is in healthy operation"; if the current operating status of the variable frequency speed regulation motor is the second-level electrical health evaluation, the display content of the electrical parameter edge computing terminal is "According to the electrical parameter measurement results of the variable frequency speed regulation motor, the current variable frequency speed regulation motor is not in healthy operation".

[0124] In this embodiment, the hierarchical determination and real-time display method based on the health evaluation index Zpj described in step S4 above not only achieves a quantitative scoring of the electrical status of the variable frequency speed regulation motor, but also converts the scoring results into an intuitive health level determination, effectively improving the readability, practicality and response efficiency of the monitoring results. Compared with the limitation that traditional measurement results only provide raw electrical parameters and fluctuation curves, which are difficult to quickly guide operation and maintenance decisions, setting multi-level health determination rules based on the electrical health evaluation index Zpj can quickly distinguish between healthy and unhealthy states and avoid subjective errors caused by manual interpretation of complex data. At the same time, the health level results are pushed to the edge computing terminal for display in real time, realizing instant visual feedback on the electrical status of the equipment, making it easier for operation and maintenance personnel to grasp the equipment status at the first time on site or remotely and formulate targeted maintenance measures in advance. This intelligent determination mechanism that integrates quantitative scoring, grading and real-time display greatly improves the application value and decision-making guidance ability of the electrical parameter measurement results of electromechanical equipment, and is particularly suitable for industrial sites with urgent needs for real-time risk warning, intelligent operation and maintenance response and equipment status management, and has significant engineering effectiveness and promotion significance.

[0125] Example 6

[0126] Please refer to Figure 1 and Figure 2 ,Specifically: A comprehensive measurement system for electrical parameters of electromechanical equipment includes an impedance analysis module, a steady-state analysis module, a health analysis module and a measurement result determination module;

[0127] The impedance analysis module is used to analyze the impedance state of the variable frequency speed regulation motor at each sampling time point during operation;

[0128] The steady-state analysis module is used to analyze the resistance steady-state degree of the variable-frequency speed-regulating motor during operation;

[0129] The health analysis module is used to analyze the electrical health level of the variable frequency speed regulation motor as reflected by the electrical parameters measured during operation;

[0130] The measurement result judgment module is used to determine whether the electrical state of the current variable frequency speed regulation motor is healthy operation, and use the obtained corresponding level of electrical health evaluation as the corresponding electrical parameter measurement result of the current variable frequency speed regulation motor.

[0131] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A method for comprehensive measurement of electrical parameters of electromechanical equipment, characterized by: The following steps are included: S1. Analyze the impedance state of the variable frequency speed regulating motor at each sampling time point during operation; S2. Analyze the resistance steady-state degree of the variable frequency speed regulating motor during operation; S3. Analyze the electrical health level of the variable frequency speed regulating motor as reflected by the electrical parameters measured during operation; S4. Determine whether the current electrical state of the variable frequency speed regulating motor is healthy operation, and use the obtained corresponding level of electrical health evaluation as the corresponding electrical parameter measurement result of the current variable frequency speed regulating motor.

2. A method for comprehensive measurement of electrical parameters of electromechanical equipment according to claim 1, characterized in that: The specific steps of S1 include: S11. Deploy a Hall effect current sensor and a high-voltage differential voltage probe in the power supply circuit of the variable frequency speed regulating motor in the electromechanical equipment. At the same time, integrate an electrical parameter edge computing terminal in the distribution box connected to the power supply circuit of the variable frequency speed regulating motor. The electrical parameter edge computing terminal is used to perform real-time calculations on the harmonic coupling of relevant electrical parameters, extract power transient characteristics, and display information. S12. Using a Hall effect current sensor deployed in the power supply circuit of the variable frequency speed regulating motor, and with a set time ∆t as a sampling interval, perform real-time sampling of the input current waveform state in the power supply circuit of the variable frequency speed regulating motor to obtain an instantaneous current value Iss at each sampling time point; S13. Based on the instantaneous current value Iss at each sampling time point obtained in step S12 and the set sampling interval ∆t, and in combination with a differential algorithm, after dimensionless processing, analyze the instantaneous input current change at each sampling time point in the power supply circuit of the variable frequency speed regulation motor to obtain the instantaneous current change rate Xix at each sampling time point.

3. A method for comprehensive measurement of electrical parameters of electromechanical equipment according to claim 2, characterized in that: The specific steps of S1 also include: S14, using a high-voltage differential voltage probe deployed in the power supply circuit of the variable-frequency speed regulating motor, and with a set time length ∆t as a sampling interval, sampling the input voltage waveform state in the power supply circuit of the variable-frequency speed regulating motor in real time to obtain an instantaneous voltage value Vss at each sampling time point; S15. Correlate the instantaneous current change rate Xix at each sampling time point obtained in step S13 with the instantaneous voltage value Vss and instantaneous current value Iss at the corresponding sampling time point. After dimensionless processing, analyze the impedance state of the variable frequency speed regulating motor at each sampling time point during operation to obtain the equivalent impedance value Xzk at each sampling time point, which is specifically obtained by the following formula: ； Where, Expressed as the equivalent impedance value at the i-th sampling time point, Expressed as the instantaneous voltage value at the i-th sampling time point, It is represented as the instantaneous current value at the i-th sampling time point, where Expressed as a frequency response sensitivity correction factor.

4. A method for comprehensive measurement of electrical parameters of electromechanical equipment according to claim 3, characterized in that: The specific steps of S2 include: S21. By indexing the nameplate parameters of the variable frequency speed regulating motor and the relevant parameters in the manufacturer's technical specification manual, the rated operating voltage value and the rated operating current value of the variable frequency speed regulating motor are correlated, and the reference resistance value Rck of the variable frequency speed regulating motor is obtained by combining the calculation formula of Ohm's law; S22. Compare the equivalent impedance value Xzk at each sampling time point obtained in step S15 with the reference resistance value Rck of the variable frequency speed regulation motor. If the equivalent impedance value Xzk at the corresponding sampling time point is equal to the reference resistance value Rck of the variable frequency speed regulation motor, record the sampling time point corresponding to the current equivalent impedance value Xzk as a normal sampling time point. Otherwise, record the sampling time point corresponding to the current equivalent impedance value Xzk as an abnormal sampling time point. Count the number Nzc of normal sampling time points and the number Nyc of abnormal sampling time points of the impedance state of the variable frequency speed regulation motor during operation.

5. A method for comprehensive measurement of electrical parameters of electromechanical equipment according to claim 4, characterized in that: The specific steps of S2 also include: S23, according to the equivalent impedance value Xzk of each sampling time point obtained in step S15, and combined with the statistical averaging algorithm, obtain the average equivalent impedance value Xzk of the variable frequency speed regulation motor during operation avg , perform difference calculation on it and the reference resistance value Rck in step S21 to obtain the equivalent impedance offset value Ppy of the variable frequency speed regulation motor during operation; S24. Based on the equivalent impedance offset value Ppy of the variable frequency speed regulation motor during operation in step S23, the equivalent impedance offset value Ppy is correlated with the number of normal sampling time points Nzc and the number of abnormal sampling time points Nyc of the impedance state of the variable frequency speed regulation motor during operation in step S22. After dimensionless processing, the steady-state degree of resistance of the variable frequency speed regulation motor during operation is analyzed to obtain the abnormal resistance degree coefficient Zzk of the variable frequency speed regulation motor during operation.

6. A method for comprehensive measurement of electrical parameters of electromechanical equipment according to claim 5, characterized in that: The specific steps of S3 include: S31. Based on the Hall effect current sensor and high-voltage differential voltage probe deployed in the power supply circuit of the variable frequency speed regulating motor, the complete voltage and current waveform time domain signals are captured in real time in a broadband high-frequency sampling manner. The captured relevant time domain signals are sent to the electrical parameter edge computing terminal for domain-frequency conversion, and combined with the fast Fourier transform algorithm, the amplitude data information is extracted. At the same time, the phase data information is obtained after calculation based on the inverse tangent function, wherein the amplitude data information includes the amplitude Fxb of each order harmonic and the amplitude Fjb of the fundamental wave, and the phase data information includes the phase angle Jxb of each order harmonic and the phase angle Jjb of the fundamental wave; S32. Based on the amplitude data and phase data information obtained in step S31, after feature extraction, the amplitude of each order harmonic Fxb and the corresponding harmonic phase angle Jxb are correlated. After dimensionless processing, the harmonic coupling of the variable frequency speed regulating motor during operation is analyzed to obtain the odd harmonic coupling coefficient Xoh, which is specifically obtained by the following formula: ； Where, Expressed as the j-th order harmonic amplitude, It is expressed as the j-th order harmonic phase angle, j = 3, 5, 7, ..., n, n represents the odd order, Expressed as the fundamental amplitude, Expressed as the fundamental phase angle, where Expressed as the cosine of the phase difference between the j-th harmonic and the fundamental wave.

7. A method for comprehensive measurement of electrical parameters of electromechanical equipment according to claim 6, characterized in that: The specific steps of S3 also include: S33. Correlate the instantaneous current value Iss at each sampling time point obtained in step S12 with the corresponding instantaneous voltage value Vss in step S14 to obtain the instantaneous power value Pgv at each sampling time point. Combined with the power fluctuation evaluation algorithm, analyze the degree of transient power imbalance of the variable frequency speed regulation motor during operation to obtain the transient power imbalance coefficient Xsh.

8. A method for comprehensive measurement of electrical parameters of electromechanical equipment according to claim 7, characterized in that: The specific steps of S3 also include: S34. Inputting the heterodyne resistance coefficient Zzk, odd harmonic coupling coefficient Xoh, and transient power imbalance coefficient Xsh of the variable frequency speed regulating motor during operation into the electrical parameter edge computing terminal, and combining it with the electrical parameter health score evaluation model, analyze the electrical health level reflected by the electrical parameters measured during operation of the variable frequency speed regulating motor to obtain the electrical health evaluation index Zpj, which is specifically obtained by the following formula: ； In the formula, e represents a natural constant, 、 and They are respectively expressed as the weight values of the heterogeneous reactance coefficient Zzk, the odd harmonic coupling coefficient Xoh and the transient power imbalance coefficient Xsh, and A is expressed as a correction constant.

9. A method for comprehensive measurement of electrical parameters of electromechanical equipment according to claim 8, characterized in that: The specific steps of S4 include: S41. Based on the value of the electrical health evaluation index Zpj in step S34, determine whether the electrical state of the current variable frequency speed regulation motor is healthy, and obtain the corresponding level of electrical health evaluation. The specific contents are as follows: If the value of the electrical health evaluation index Zpj is within the range When the current electrical status of the variable frequency speed regulating motor is determined to be healthy, a first-level electrical health evaluation is obtained; If the value of the electrical health evaluation index Zpj is within the range When the current electrical status of the variable frequency speed regulating motor is judged to be unhealthy, a secondary electrical health evaluation is obtained; S42. Input the electrical health evaluation of the corresponding level of the current variable frequency speed regulation motor into the electrical parameter edge computing terminal for real-time display as the electrical parameter measurement result corresponding to the current variable frequency speed regulation motor.

10. A system for comprehensive measurement of electrical parameters of electromechanical equipment, for implementing the method for comprehensive measurement of electrical parameters of electromechanical equipment according to any one of claims 1 to 9, characterized in that: Including impedance analysis module, steady-state analysis module, health analysis module and measurement result judgment module; The impedance analysis module is used to analyze the impedance state of the variable frequency speed regulation motor at each sampling time point during operation; The steady-state analysis module is used to analyze the resistance steady-state degree of the variable-frequency speed-regulating motor during operation; The health analysis module is used to analyze the electrical health level of the variable frequency speed regulation motor as reflected by the electrical parameters measured during operation; The measurement result judgment module is used to determine whether the electrical state of the current variable frequency speed regulation motor is healthy operation, and use the obtained corresponding level of electrical health evaluation as the corresponding electrical parameter measurement result of the current variable frequency speed regulation motor.

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