A method, system and electronic equipment for correcting current representation in frequency conversion circuit

Abstract

The present application relates to a method, system and electronic device for correcting the current indication in a frequency conversion circuit, and the method includes: based on the secondary circuit of a voltage transformer, collecting the frequency value in the frequency conversion circuit, and based on the frequency value, obtaining the action stroke of a frequency connecting rod; based on the secondary circuit of a current transformer, collecting the current signal in the frequency conversion circuit; based on the action stroke, compensating the current signal to obtain a compensated first compensated current signal, and based on the first compensated current signal, driving the current indication pointer of the ammeter to deflect to display the corrected current indication. The present application has the effect of accurately displaying the actual current value by driving the current indication pointer to deflect through the compensated first compensated current signal.

Description

Technical Field

[0001] The present application relates to the technical field of current representation number correction, and in particular to a current representation number correction method, system and electronic equipment in a variable frequency circuit. Background Art

[0002] In the field of modern industrial automation, frequency conversion technology has been widely used because it can adjust the power frequency and voltage according to the actual load demand, achieve high efficiency energy saving and equipment protection. However, with the popularity and increasing complexity of frequency conversion equipment, higher requirements are placed on the accurate measurement and display of key parameters such as frequency and current.

[0003] Traditional current display solutions are often designed based on fixed-frequency power supply environments, and are difficult to adapt to the impact of rapid frequency changes on measurement accuracy in variable-frequency environments. Especially in high-frequency, high-current, and variable-frequency environments with rich harmonics, traditional display solutions often have problems such as large measurement errors, slow response speeds, and unstable data, which seriously affect the operating efficiency and reliability of the system. Summary of the invention

[0004] In order to adapt to the influence of frequency change on the current representation number measurement in a variable frequency environment and improve the accuracy of the current representation number, the present application provides a current representation number correction method, system and electronic equipment in a variable frequency circuit.

[0005] In a first aspect, the present application provides a method for correcting a current representation number in a variable frequency circuit, comprising:

[0006] Based on the secondary circuit of the voltage transformer, the frequency value in the frequency conversion circuit is collected, and based on the frequency value, the action stroke of the frequency connecting rod is obtained;

[0007] Based on the secondary circuit of the current transformer, collecting the current signal in the frequency conversion circuit;

[0008] Based on the action stroke, the current signal is compensated to obtain a compensated first current signal, and based on the first current signal, the current indication pointer of the ammeter is driven to deflect to display the corrected current indication.

[0009] The beneficial effect of the present application is that when the secondary circuit of the current transformer transmits the current signal to the electronic device, the electronic device can compensate the current signal according to the action stroke of the frequency connecting rod, thereby compensating the current measurement error caused by the frequency change of the frequency conversion circuit. The current indication pointer is driven to deflect through the compensated first compensation current signal, so that the actual current value can be accurately displayed.

[0010] Further, compensating the current signal based on the action stroke includes:

[0011] Based on the Internet of Things technology, multi-source data corresponding to the frequency conversion circuit is obtained, and the multi-source data is a parameter characterizing the operating state and operating environment of the frequency conversion circuit;

[0012] Based on the multi-source data, a unit stroke compensation amount and a total compensation amount corresponding to the action stroke are obtained, and the current signal is compensated based on the total compensation amount.

[0013] The beneficial effects of adopting the above further scheme are: the multi-source data of the frequency conversion circuit is obtained through the Internet of Things technology, which comprehensively reflects the actual working conditions of the frequency conversion circuit and provides a rich information basis for accurate compensation. The Internet of Things sensor network can collect data in real time to ensure that the data used by the compensation algorithm for calculating the unit stroke compensation amount is the latest, thereby improving the real-time and accuracy of the unit stroke compensation amount calculation. The automatic compensation algorithm based on multi-source data reduces manual intervention and improves the automation level of the system.

[0014] Further, after driving the current indicating pointer of the ammeter to deflect based on the first compensation current signal, the method further includes:

[0015] Acquire in real time a plurality of current process data required for calculating the first compensation current signal, where the process data is intermediate data required for characterizing and calculating the compensation current signal;

[0016] For each of the current process data, generating a standard deviation control chart based on the current process data and the historical process data of the ammeter corresponding to the current process data;

[0017] For each of the current process data, judging whether the current process data is abnormal data based on the standard deviation control chart;

[0018] If the abnormal data exists in the plurality of current process data, determining the fault scope based on the correlation analysis technology;

[0019] Based on the power system simulation model, multiple simulation process data under different fault scenarios within the fault range are simulated, and the multiple simulation process data are respectively compared with the corresponding current process data, and the fault location is determined based on the comparison result.

[0020] The beneficial effect of adopting the above further scheme is: using correlation analysis technology to determine the fault scope, and simulating process data under different fault scenarios through the power system simulation model, and comparing it with the actual current process data, the fault location can be accurately located. Compared with traditional fault troubleshooting methods, it is more efficient and accurate, can greatly shorten the fault handling time, and improve the reliability and availability of the variable frequency power system.

[0021] Further, after determining the fault location based on the comparison result, the method further includes:

[0022] Based on the constructed fault mode library, the fault cause corresponding to the abnormal data and the fault location is obtained;

[0023] Based on the fault cause, the abnormal data and the fault location, a maintenance suggestion report is generated, wherein the maintenance suggestion report includes a fault description, an impact range, maintenance steps and preventive measures.

[0024] The beneficial effects of adopting the above further scheme are: accurate fault location and timely maintenance measures can reduce unnecessary equipment replacement and manpower investment, thereby reducing maintenance costs. By proposing preventive measures and continuously optimizing the fault handling process, the stability and reliability of the power system can be enhanced, and the frequency and scope of faults can be reduced.

[0025] Furthermore, the method further comprises:

[0026] Based on the usage scenario, measurement range and accuracy requirements corresponding to the ammeter, obtaining the debugging standard of the ammeter in the current debugging operation;

[0027] Based on the debugging standard, a first debugging signal corresponding to the voltage transformer and a second debugging signal corresponding to the current transformer are generated, and based on the first debugging signal and the second debugging signal, a second compensation current signal corresponding to the ammeter is acquired;

[0028] Acquire a target compensation current signal corresponding to the first debugging signal and the second debugging signal;

[0029] The deviation between the second compensation current signal and the target compensation current signal is calculated, and based on the deviation, an adjustment strategy for the internal parameters corresponding to the ammeter is obtained.

[0030] The beneficial effect of adopting the above further solution is that the measurement accuracy of the ammeter can be significantly improved through automatic debugging operation, making it more in line with actual application requirements. For users of the ammeter, the ammeter can automatically perform debugging operations, which reduces the user's workload and reduces the impact of the user's lack of debugging on the current display number.

[0031] Further, before obtaining the debugging standard of the ammeter in the current debugging operation based on the usage scenario, measurement range and accuracy requirement corresponding to the ammeter, the method further includes:

[0032] If the current debugging operation is not the first debugging operation, obtaining the current debugging time corresponding to the current debugging operation based on a plurality of historical debugging operation records corresponding to the ammeter, wherein the plurality of historical debugging operation records each include a historical debugging time and a historical debugging difficulty level, wherein the historical debugging difficulty level is a level assessed according to debugging complexity and time consumption;

[0033] Determine whether the current time reaches the current debugging time;

[0034] If so, the step of acquiring the debugging standard of the ammeter in the current debugging operation based on the usage scenario, measurement range and accuracy requirement corresponding to the ammeter is executed.

[0035] The beneficial effect of adopting the above further solution is that by automatically collecting and analyzing historical data, the system can automatically predict and schedule the next debugging time, reducing the need for manual intervention. The debugging cycle is adjusted according to the actual performance of the ammeter, thereby improving efficiency and reducing costs.

[0036] Further, after driving the current indicating pointer of the ammeter to deflect based on the first compensation current signal, the method further includes:

[0037] Based on a data mining algorithm, identifying the operating rules corresponding to the frequency conversion circuit, and obtaining a data cache strategy based on the operating rules, wherein the data cache strategy is a parameter that characterizes the data storage rules corresponding to the frequency conversion circuit;

[0038] Based on the operating law, the unit stroke compensation amount is dynamically adjusted, and based on the prediction algorithm, the future frequency conversion trend and compensation demand of the frequency conversion circuit are predicted. The frequency conversion trend is a parameter that characterizes the future change trend of the frequency conversion circuit, and the compensation demand is a parameter that characterizes the size of the compensation amount required in the future.

[0039] The beneficial effect of adopting the above further solution is that by dynamically adjusting the unit stroke compensation, the accuracy of the current representation can be ensured and the measurement accuracy can be improved, so that users can understand the relevant situation in advance and make preparations and adjustments in advance to avoid the impact of sudden failures on the variable frequency power system.

[0040] In a second aspect, the present application provides a current representation number correction system in a variable frequency circuit, comprising:

[0041] A first acquisition module is used to acquire a frequency value in the frequency conversion circuit based on a secondary circuit of a voltage transformer, and to obtain an action stroke of a frequency connecting rod based on the frequency value;

[0042] A second acquisition module, used for acquiring a current signal in the frequency conversion circuit based on a secondary circuit of a current transformer;

[0043] The compensation module is used to compensate the current signal based on the action stroke to obtain a compensated first compensation current signal, and drive the current indication pointer of the ammeter to deflect based on the first compensation current signal to display the corrected current indication.

[0044] In a third aspect, the present application provides an electronic device, including a processor and a memory, wherein the processor is coupled to the memory;

[0045] The processor is used to execute the computer program stored in the memory so that the electronic device performs the method as described in any one of the first aspects.

[0046] In a fourth aspect, the present application provides a computer-readable storage medium, comprising a computer program or instructions, which, when executed on a computer, enables the computer to execute the method as described in any one of the first aspects. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 A schematic diagram of a flow chart of a method for correcting a current representation number in a frequency conversion circuit according to an embodiment of the present application;

[0048] Figure 2 This is a structural block diagram of a current representation number correction system in a frequency conversion circuit according to an embodiment of the present application;

[0049] Figure 3 This is a structural block diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0050] The present application is further described in detail below in conjunction with the accompanying drawings.

[0051] The embodiment of the present application provides a method for correcting the current representation number in a variable frequency circuit, which can be executed by a device, which can be a server or a terminal device, wherein the server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smart phone, a tablet computer, a desktop computer, etc., but is not limited thereto.

[0052] like Figure 1 As shown, a method for correcting the current representation number in a variable frequency circuit is performed by an electronic device. The main process of the method is described as follows (steps S101 to S103):

[0053] Step S101: Based on the secondary circuit of the voltage transformer, the frequency value in the frequency conversion circuit is collected, and based on the frequency value, the action stroke of the frequency connecting rod is obtained.

[0054] In a variable frequency power system, the frequency of the current is not constant, but changes with the output frequency of the variable frequency circuit. The change in frequency will cause the distortion of the current waveform and the change in phase difference, thus affecting the accurate measurement of the current by the traditional ammeter.

[0055] Voltage transformers (PTs) can reduce high voltages to measurable low voltage levels (such as 100V or 110V). The voltage signal collected through the secondary circuit of the PT can be transmitted to other occasions where voltage signals are required. Based on the secondary circuit of the voltage transformer, the voltage signal in the frequency conversion circuit and the frequency value in the voltage signal can be collected.

[0056] In this embodiment, the ammeter includes a current indication pointer and a stroke connecting rod that moves with the detected frequency value, and the stroke connecting rod is the frequency connecting rod. The electronic device stores a mapping relationship between the frequency value and the action stroke of the frequency connecting rod. For example, the larger the frequency value, the larger the stroke of the frequency connecting rod; the smaller the frequency value, the smaller the stroke of the frequency connecting rod. The mapping relationship can be established through experiments or simulation models.

[0057] Step S102: Based on the secondary circuit of the current transformer, the current signal in the frequency conversion circuit is collected.

[0058] Current transformers (CTs) can reduce high currents, such as those in power grids, to levels that are easy to measure and handle safely. Based on the secondary circuit of the current transformer, the current signal in the frequency conversion circuit is collected and transmitted to the ammeter.

[0059] Step S103: Based on the action stroke, the current signal is compensated to obtain a compensated first current signal, and based on the first compensated current signal, the current indication pointer of the ammeter is driven to deflect to display the corrected current indication.

[0060] When the secondary circuit of the current transformer (CT) transmits the current signal to the electronic device, the electronic device can compensate the current signal according to the action stroke of the frequency link, thereby compensating the current measurement error caused by the frequency change of the frequency conversion circuit. The current indication pointer is driven to deflect through the compensated first compensation current signal, so that the actual current value can be accurately displayed.

[0061] In the frequency conversion circuit, when the frequency of the power supply changes, the frequencies of the current signal and the voltage signal will change at the same time and always remain equal. Therefore, the position of the frequency connecting rod also reflects the frequency information of the current signal. The frequency value of the current signal can be displayed simultaneously through another pointer or digital display corresponding to the frequency connecting rod, thereby realizing the simultaneous display of current value and frequency value, which is more in line with actual needs.

[0062] By compensating the current with a frequency link that changes with the frequency, the current measurement accuracy in a variable frequency power supply environment can be significantly improved. The compensation mechanism can adapt to the current measurement needs of different frequencies without changing the meter or making complicated settings. The first compensated current signal after compensation will be closer to the true effective value of the current, so that the current indication pointer of the ammeter can be driven to deflect more accurately, and the real operating parameters can be observed at the site where the ammeter is set, which is convenient for on-site commissioning personnel to understand the real operating conditions and make accurate judgments on the equipment.

[0063] In this embodiment, step S103 specifically includes the following processing: based on the Internet of Things technology, multi-source data corresponding to the frequency conversion circuit is obtained, and the multi-source data is a parameter characterizing the operating state and operating environment of the frequency conversion circuit; based on the multi-source data, the unit stroke compensation amount and the total compensation amount corresponding to the action stroke are obtained, and the current signal is compensated based on the total compensation amount.

[0064] The frequency conversion circuit system includes multiple sensors for collecting multi-source data. Based on the Internet of Things technology, each sensor is electrically connected to the electronic equipment.

[0065] The frequency conversion circuit system also includes the motor. The operating status parameters are not limited to the hardware parameters of the frequency conversion circuit itself, but also include the motor parameters. These parameters together reflect the real-time working status of the frequency conversion circuit and its related systems.

[0066] The hardware parameters of the frequency conversion circuit may include frequency range, output frequency, output voltage, maximum output current, rated power and control mode, etc. The frequency range is the range of the adjustable output power frequency of the frequency conversion circuit; the output frequency is the frequency output by the frequency conversion circuit to the motor, which is used to control the speed of the motor; the output voltage is the voltage output by the frequency conversion circuit to the motor, which is used to control the current and torque of the motor; the maximum output current and rated power reflect the load capacity and efficiency of the frequency conversion circuit; the control mode includes VF control, vector control and other modes, which determine the control strategy and performance of the frequency conversion circuit.

[0067] The motor parameters can include the rated voltage, rated power, rated current and load characteristics of the motor, which are crucial for the matching of the frequency conversion circuit and the motor. The rated voltage, rated power, rated current and other parameters of the motor directly determine the current range output by the frequency conversion circuit. If the parameters of the motor are not set accurately or change (such as aging, damage, etc.), the current signal output by the frequency conversion circuit may not match the actual needs of the motor, thereby affecting the compensation effect of the current signal. The load characteristics of the motor (such as inertia, resistance, etc.) will also affect the trend of current changes. Therefore, in the compensation process, the load characteristics of the motor also need to be considered.

[0068] In this embodiment, the operating environment parameters may include various external conditions of the installation location of the frequency conversion circuit, and the external conditions have an important influence on the stable operation and compensation accuracy of the frequency conversion circuit. The operating environment parameters may include meteorological data and other environmental parameters, the meteorological data may include temperature and humidity, and the other environmental parameters may include the location and height of the frequency conversion circuit.

[0069] During the operation of the frequency conversion circuit, the allowable value of the ambient temperature is usually 0-40℃. Too high or too low temperature will affect the performance and life of the frequency conversion circuit. The humidity around the frequency conversion circuit should be within 40%-90%. Too high humidity will lead to reduced electrical insulation and even cause leakage, sparking and other phenomena. The ambient temperature and humidity have a direct impact on the heat dissipation performance of the frequency conversion circuit and the motor. In a high temperature and high humidity environment, the heat dissipation effect of the frequency conversion circuit and the motor will deteriorate, which is easy to cause the internal temperature to be too high, thereby affecting the stability and accuracy of the current signal. Therefore, in the compensation process, it is necessary to consider the impact of the ambient temperature and humidity on the current signal, and corresponding measures such as adjusting the compensation algorithm can be taken to reduce the impact.

[0070] According to the location of the frequency conversion circuit, determine whether the frequency conversion circuit is in a corrosive, explosive or flammable gas, and whether it is in an environment with excessive dust and oil mist. The height can affect the heat dissipation and protection effect of the frequency conversion circuit. The location and height may affect the ventilation and heat dissipation conditions of the frequency conversion circuit. For example, setting up the frequency conversion circuit in a closed or narrow space may restrict air circulation and cause poor heat dissipation. In addition, the height that is too high or too low may also have an adverse effect on heat dissipation and protection. Therefore, in the compensation process, it is necessary to consider the impact of the location and height on the current signal.

[0071] In this embodiment, a trained compensation calculation model is stored in the electronic device. The compensation calculation model takes multi-source data as input, calculates the unit stroke compensation corresponding to the action stroke through an algorithm or machine learning technology, and then calculates the total compensation amount based on the unit stroke compensation amount and the total stroke corresponding to the action stroke.

[0072] The multi-source data of the frequency conversion circuit is obtained through the Internet of Things technology, which comprehensively reflects the actual working conditions of the frequency conversion circuit and provides a rich information basis for accurate compensation. The Internet of Things sensor network can collect data in real time to ensure that the data used by the compensation algorithm for calculating the unit stroke compensation is the latest, thereby improving the real-time and accuracy of the unit stroke compensation calculation. The automatic compensation algorithm based on multi-source data reduces manual intervention and improves the automation level of the system.

[0073] In this embodiment, after step S103, the following processing is also included:

[0074] Acquire in real time a plurality of current process data required for calculating the first compensation current signal, where the process data is intermediate data required for characterizing and calculating the compensation current signal;

[0075] For each of the current process data, generating a standard deviation control chart based on the current process data and the historical process data of the ammeter corresponding to the current process data;

[0076] For each of the current process data, judging whether the current process data is abnormal data based on the standard deviation control chart;

[0077] If the abnormal data exists in the plurality of current process data, determining the fault scope based on the correlation analysis technology;

[0078] Based on the power system simulation model, multiple simulation process data under different fault scenarios within the fault range are simulated, and the multiple simulation process data are respectively compared with the corresponding current process data, and the fault location is determined based on the comparison result.

[0079] The process data may include voltage signals, current signals, frequency values, unit compensation amounts, and total compensation amounts, etc., which are required for calculating the compensation current signal.

[0080] For each current process data, collect its corresponding historical process data (i.e., data within a preset period of time in the past). Calculate the standard deviation (σ) corresponding to the current process data and the historical process data, use the standard deviation (σ) to draw a standard deviation control chart (such as a 3σ control chart), and obtain the preset upper control limit (UCL = μ + 3σ) and lower control limit (LCL = μ -3σ). Compare each current process data with the upper and lower control limits of the corresponding standard deviation control chart. If the current process data exceeds the control limit (i.e., UCL or LCL), the current process data is considered to be abnormal data.

[0081] The association analysis technology is used to analyze the association between abnormal data, find out the variables or processes that may affect each other, and determine the possible fault range based on the association analysis results. In this embodiment, the association analysis technology can be an Apriori algorithm or an FP-Growth algorithm.

[0082] The electronic device also stores a well-established power system simulation model, which can be trained based on the actual situation of the variable frequency power system. The determined fault range and different fault scenarios within the fault range are used as inputs to the power system simulation model, which can simulate and run each fault scenario to generate multiple simulation process data.

[0083] In this embodiment, each simulated process data can be compared with the corresponding current process data in detail, including numerical values, etc. The electronic device stores a mapping relationship between the fault scenario and the fault location. Based on the comparison result, a fault scenario represented by a group of simulated process data with the largest difference from the multiple current process data is found. The mapping relationship is queried according to the fault scenario to determine the fault location.

[0084] By using correlation analysis technology to determine the fault scope and simulating process data under different fault scenarios through the power system simulation model and comparing it with the actual current process data, the fault location can be accurately located. Compared with traditional fault troubleshooting methods, it is more efficient and accurate, can greatly shorten the fault handling time, and improve the reliability and availability of the variable frequency power system.

[0085] In this embodiment, after the fault location is determined based on the comparison result, the following processing is also included: based on the constructed fault mode library, the fault cause corresponding to the abnormal data and the fault location is obtained; based on the fault cause, the abnormal data and the fault location, a maintenance recommendation report is generated, and the maintenance recommendation report includes a fault description, an impact range, maintenance steps and preventive measures.

[0086] By utilizing the existing fault mode library, which contains mapping relationships between various fault scenarios, fault locations and corresponding fault causes, the corresponding fault cause can be queried in the fault mode library according to the determined fault location and abnormal data.

[0087] Fault description includes time record, location and phenomenon description. Time record includes the time point of fault occurrence which can be accurately recorded using system logs or monitoring tools. Location can be a specific device location (such as a certain area of ​​a substation, a certain node on a line) or a system level (such as a certain section of a power grid), which can be determined by combining the fault phenomenon and the topology diagram of the frequency conversion circuit system. The phenomenon description can record in detail the abnormal performance of the frequency conversion circuit system when the fault occurs, such as abnormal current, voltage fluctuation, etc., and can also include physical phenomena collected by sensors, such as overheating of equipment, smoking, etc.

[0088] The impact range includes the affected equipment, etc. By using the topological structure diagram of the variable frequency power system, the areas and paths that may be affected by the fault location are analyzed. The electronic equipment stores the mapping relationship between the fault cause and the maintenance steps. The maintenance steps may include the required tools, spare parts, operation steps and precautions, etc.

[0089] A logical tree diagram of the fault is constructed in the electronic device, which decomposes the fault into multiple sub-faults and analyzes the logical relationship between these sub-faults. Through the fault tree analysis, the various factors that cause the variable frequency power system to fail and the relationship between them can be clearly found, so as to find the root cause of the fault. For example, the root cause may include equipment aging, etc. The electronic device also stores the mapping relationship between the root cause and the preventive measures. Based on the mapping relationship and the analyzed root cause, preventive measures such as improving equipment design, optimizing operating procedures or strengthening maintenance management can be queried to reduce the risk of similar faults recurring.

[0090] Once the fault location is determined, the cause of the fault can be immediately checked and the corresponding maintenance steps can be formulated, thus shortening the fault handling time. Accurate fault location and timely maintenance measures can reduce unnecessary equipment replacement and manpower investment, thereby reducing maintenance costs. By proposing preventive measures and continuously optimizing the fault handling process, the stability and reliability of the power system can be enhanced, and the frequency and scope of faults can be reduced.

[0091] In this embodiment, the method further includes the following processing:

[0092] Based on the usage scenario, measurement range and accuracy requirements corresponding to the ammeter, obtaining the debugging standard of the ammeter in the current debugging operation;

[0093] Based on the debugging standard, a first debugging signal corresponding to the voltage transformer and a second debugging signal corresponding to the current transformer are generated, and based on the first debugging signal and the second debugging signal, a second compensation current signal corresponding to the ammeter is acquired;

[0094] Acquire a target compensation current signal corresponding to the first debugging signal and the second debugging signal;

[0095] The deviation between the second compensation current signal and the target compensation current signal is calculated, and based on the deviation, an adjustment strategy for the internal parameters corresponding to the ammeter is obtained.

[0096] Obtaining the usage scenarios of the ammeter (such as industrial control, power system monitoring, etc.) will help determine its measurement range and accuracy requirements. According to the usage scenarios, by consulting relevant industry standards and specifications, the specific requirements of the ammeter, such as the measurement range, accuracy level, and working environment, can be determined. Based on the above information, detailed debugging standards can be formulated, including the allowable error range, calibration method, and debugging steps. The usage scenario can be preset data or data collected in real time through IoT technology, and the data determined by analysis.

[0097] The electronic device can generate a debugging signal according to the debugging standard, and the debugging signal includes a voltage transformer debugging signal and a current transformer debugging signal, wherein the voltage transformer debugging signal is the first debugging signal and the current transformer debugging signal is the second debugging signal. The first debugging signal and the second debugging signal are respectively input into the voltage transformer and the current transformer at the same time, and the voltage transformer and the current transformer respectively process the corresponding debugging signals and output a compensated second compensation current signal.

[0098] In this embodiment, the debugging standard also includes a target compensation current signal corresponding to the first debugging signal and the second debugging signal. The target compensation current signal is theoretical signal data obtained after an ideal response to the first debugging signal and the second debugging signal.

[0099] Compare the second compensation current signal with the target compensation current signal and calculate the deviation between the two. According to the size and direction of the deviation, analyze the possible causes of the deviation, which may include gain error, offset error, nonlinear error, etc. According to the cause of the deviation, formulate an adjustment strategy for the internal parameters of the ammeter, which includes adjusting the gain coefficient, offset, nonlinear correction coefficient, etc. Adjust the corresponding parameters inside the ammeter until the deviation is reduced to the error range allowed in the debugging standard, and complete the current debugging operation of the ammeter.

[0100] Through automatic debugging, the measurement accuracy of the ammeter can be significantly improved, making it more in line with actual application requirements. For users of the ammeter, the ammeter can automatically perform debugging operations, reducing the user's workload and reducing the impact of the user's lack of debugging on the current reading.

[0101] In this embodiment, before obtaining the debugging standard of the ammeter in the current debugging operation based on the usage scenario, measurement range and accuracy requirement corresponding to the ammeter, the following processing is also included:

[0102] If the current debugging operation is not the first debugging operation, obtaining the current debugging time corresponding to the current debugging operation based on a plurality of historical debugging operation records corresponding to the ammeter, wherein the plurality of historical debugging operation records each include a historical debugging time and a historical debugging difficulty level, wherein the historical debugging difficulty level is a level assessed according to debugging complexity and time consumption;

[0103] Determine whether the current time reaches the current debugging time;

[0104] If so, the step of acquiring the debugging standard of the ammeter in the current debugging operation based on the usage scenario, measurement range and accuracy requirement corresponding to the ammeter is executed.

[0105] In this embodiment, the automatic debugging of the ammeter can be performed when the ammeter is installed on site, or in the subsequent application process of the ammeter.

[0106] The electronic device may include establishing a historical debugging operation record database for the ammeter, which is used to store the historical debugging time, historical debugging difficulty level and debugging results of each debugging operation. The historical debugging difficulty level can be assessed based on the debugging complexity and time consumption. The debugging complexity can be determined based on the parameter type of the adjusted internal parameters and the number of internal parameters. The parameter type can include complex parameters, general parameters and easy parameters.

[0107] Before each debugging operation is started, it can be determined whether it is the first debugging operation by querying the historical debugging operation record database. Exemplarily, if the historical debugging operation record database is empty or has no record about the ammeter, it is regarded as the first debugging.

[0108] If it is not the first time to debug, the electronic device needs to read and analyze the historical debugging operation records of the ammeter. The electronic device can evaluate the overall performance of the ammeter through statistical analysis methods (such as mean, median, standard deviation, etc.). For example, the average debugging difficulty level or the average debugging interval time can be calculated to evaluate the complexity and frequency of debugging.

[0109] Based on the historical debugging difficulty levels of the recent debugging operations corresponding to the historical debugging data, the current debugging time corresponding to the current debugging operation is predicted. For example, if the historical debugging difficulty levels corresponding to the recent debugging operations are generally low, it means that the performance of the ammeter is stable, and you can consider extending the time interval for the next debugging. On the contrary, if the difficulty level is high, you need to shorten the interval. The extended or shortened time can be preset in the electronic device. Compare the predicted debugging time with the current time. If the current time reaches the predicted debugging time, the current debugging operation is triggered and executed.

[0110] By automatically collecting and analyzing historical data, the system can automatically predict and schedule the next debugging time, reducing the need for manual intervention. The debugging cycle is adjusted according to the actual performance of the ammeter. If the ammeter performs well, the number of debugging times can be reduced or the time interval can be increased, thereby improving efficiency and reducing costs.

[0111] In this embodiment, after the current indicating pointer of the ammeter is driven to deflect based on the first compensation current signal, the following processing is also included:

[0112] Based on a data mining algorithm, identifying the operating rules corresponding to the frequency conversion circuit, and obtaining a data cache strategy based on the operating rules, wherein the data cache strategy is a parameter that characterizes the data storage rules corresponding to the frequency conversion circuit;

[0113] Based on the operating law, the unit stroke compensation amount is dynamically adjusted, and based on the prediction algorithm, the future frequency conversion trend and compensation demand of the frequency conversion circuit are predicted. The frequency conversion trend is a parameter that characterizes the future change trend of the frequency conversion circuit, and the compensation demand is a parameter that characterizes the size of the compensation amount required in the future.

[0114] In this embodiment, the data mining algorithm may be, for example, time series analysis, cluster analysis, etc., and the operating rules may include the frequency range, change rate, periodicity, etc. of the frequency conversion.

[0115] The corresponding data cache strategy can be selected according to the frequency conversion law. For example, for a frequency conversion circuit with periodic changes, the data cache strategy can be to cache only the key data points in each cycle to reduce the burden of data storage and processing.

[0116] According to the identified frequency conversion law, the unit stroke compensation amount of the current signal is dynamically adjusted. In this embodiment, the electronic device stores a mapping relationship between the frequency conversion law and the correction value of the unit stroke compensation amount. According to the mapping relationship, the correction value corresponding to the current frequency conversion law can be queried, and the unit stroke compensation amount can be dynamically adjusted according to the correction value, thereby ensuring the accuracy of the current representation number and improving the measurement accuracy.

[0117] Based on prediction algorithms (such as time series prediction, machine learning prediction, etc.), the future frequency conversion trend (such as frequency change range, change speed, etc.) and compensation current demand of the frequency conversion circuit are predicted, so that users can understand the relevant situation in advance and make preparations and adjustments in advance to avoid the impact of sudden faults on the frequency conversion power system.

[0118] Based on the same technical concept, the present application also provides a current representation correction system in a frequency conversion circuit, such as Figure 2 As shown, the current representation number correction system 200 in the frequency conversion circuit mainly includes:

[0119] The first acquisition module 201 is used to acquire the frequency value in the frequency conversion circuit based on the secondary circuit of the voltage transformer, and obtain the action stroke of the frequency connecting rod based on the frequency value;

[0120] A second acquisition module 202, used to acquire a current signal in the frequency conversion circuit based on a secondary circuit of a current transformer;

[0121] The compensation module 203 is used to compensate the current signal based on the action stroke to obtain a compensated first compensation current signal, and drive the current indication pointer of the ammeter to deflect based on the first compensation current signal to display the corrected current indication.

[0122] Optionally, the compensation module 203 includes:

[0123] The IoT acquisition submodule is used to acquire multi-source data corresponding to the frequency conversion circuit based on the IoT technology, wherein the multi-source data is a parameter characterizing the operating state and operating environment of the frequency conversion circuit;

[0124] A compensation quantum module is obtained, which is used to obtain the unit stroke compensation amount and the total compensation amount corresponding to the action stroke based on the multi-source data, and compensate the current signal based on the total compensation amount.

[0125] Optionally, after the compensation module 203, the following is further included:

[0126] A real-time calculation module, used for acquiring in real time a plurality of current process data required for calculating the first compensation current signal, wherein the process data is intermediate data required for characterizing the calculation of the compensation current signal;

[0127] A production control chart module, for generating a standard deviation control chart for each current process data based on the current process data and the historical process data of the ammeter corresponding to the current process data;

[0128] A judgment module, configured to judge, for each of the current process data, whether the current process data is abnormal data based on the standard deviation control chart;

[0129] A range determination module, used to determine the fault range based on the correlation analysis technology when the abnormal data exists in the multiple current process data;

[0130] The location determination module is used to simulate multiple simulated process data under different fault scenarios within the fault range based on the power system simulation model, and compare the multiple simulated process data with the corresponding current process data respectively, and determine the fault location based on the comparison results.

[0131] Optionally, after determining the location module, it also includes:

[0132] A cause acquisition module, used for acquiring the fault cause corresponding to the abnormal data and the fault location based on the constructed fault mode library;

[0133] A report generation module is used to generate a maintenance recommendation report based on the fault cause, the abnormal data and the fault location, wherein the maintenance recommendation report includes a fault description, an impact range, maintenance steps and preventive measures.

[0134] Optionally, the system further includes:

[0135] An acquisition standard module, used for acquiring a debugging standard of the ammeter in a current debugging operation based on a usage scenario, a measurement range and an accuracy requirement corresponding to the ammeter;

[0136] A debugging signal generating module, configured to generate a first debugging signal corresponding to the voltage transformer and a second debugging signal corresponding to the current transformer based on the debugging standard, and to obtain a second compensation current signal corresponding to the ammeter based on the first debugging signal and the second debugging signal;

[0137] A target signal acquisition module, used for acquiring a target compensation current signal corresponding to the first debugging signal and the second debugging signal;

[0138] The module for obtaining an adjustment strategy is used to calculate a deviation between the second compensation current signal and the target compensation current signal, and based on the deviation, obtain an adjustment strategy for an internal parameter corresponding to the ammeter.

[0139] Optionally, before getting the standard modules, also include:

[0140] A time acquisition module, used for acquiring a current debugging time corresponding to the current debugging operation based on a plurality of historical debugging operation records corresponding to the ammeter when the current debugging operation is not the first debugging operation, wherein the plurality of historical debugging operation records each include a historical debugging time and a historical debugging difficulty level, wherein the historical debugging difficulty level is a level evaluated according to debugging complexity and time consumption;

[0141] The time determination module is used to determine whether the current time reaches the current debugging time; if so, the step of obtaining the debugging standard of the ammeter in the current debugging operation based on the usage scenario, measurement range and accuracy requirements corresponding to the ammeter is executed.

[0142] Optionally, after the compensation module 203, the following is further included:

[0143] A rule recognition module, used to identify the operation rule corresponding to the frequency conversion circuit based on a data mining algorithm, and obtain a data cache strategy based on the operation rule, wherein the data cache strategy is a parameter characterizing the data storage rule corresponding to the frequency conversion circuit;

[0144] The prediction module is used to dynamically adjust the unit stroke compensation amount based on the operating law, and predict the frequency conversion trend and compensation demand of the frequency conversion circuit in the future based on the prediction algorithm. The frequency conversion trend is a parameter that characterizes the change trend of the frequency conversion circuit in the future, and the compensation demand is a parameter that characterizes the size of the compensation amount required in the future.

[0145] In one example, the module in any of the above systems can be one or more integrated circuits configured to implement the above methods, such as: one or more application specific integrated circuits (ASICs), or, one or more digital signal processors (DSPs), or, one or more field programmable gate arrays (FPGAs), or a combination of at least two of these integrated circuit forms.

[0146] For another example, when the modules in the system can be implemented in the form of a processing element scheduling program, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call a program. For another example, these modules can be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0147] Various objects such as various messages / information / equipment / network elements / systems / devices / actions / operations / processes / concepts that may appear in this application are named. It can be understood that these specific names do not constitute a limitation on the relevant objects. The names assigned may change with factors such as scenarios, contexts or usage habits. The understanding of the technical meaning of the technical terms in this application should be mainly determined from the functions and technical effects embodied / executed in the technical scheme.

[0148] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and modules described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0149] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0150] Based on the same technical concept, the present application also provides an electronic device, such as Figure 3 As shown, the electronic device 300 includes a processor 301 and a memory 302 , and may further include an information input / information output (I / O) interface 303 , one or more of a communication component 304 , and a communication bus 305 .

[0151] The processor 301 is used to control the overall operation of the electronic device 300 to complete all or part of the steps in the above-mentioned method for correcting the current representation number in the variable frequency circuit; the memory 302 is used to store various types of data to support the operation of the electronic device 300, and these data may include, for example, instructions for any application or method used to operate on the electronic device 300, and data related to the application. The memory 302 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), erasable programmable read-only memory (Erasable Programmable Read-Only Memory, EPROM), programmable read-only memory (Programmable Read-Only Memory, PROM), read-only memory (Read-Only Memory, ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0152] The I / O interface 303 provides an interface between the processor 301 and other interface modules, and the above-mentioned other interface modules can be keyboards, mice, buttons, etc. These buttons can be virtual buttons or physical buttons. The communication component 304 is used to test the wired or wireless communication between the electronic device 300 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G or 4G, or a combination of one or more of them, so the corresponding communication component 304 can include: Wi-Fi components, Bluetooth components, NFC components.

[0153] The communication bus 305 may include a path to transmit information between the above components. The communication bus 305 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The communication bus 305 may be divided into an address bus, a data bus, a control bus, etc.

[0154] The electronic device 300 can be implemented by one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), controllers, microcontrollers, microprocessors or other electronic components, and is used to execute the current representation number correction method in the variable frequency circuit given in the above embodiment.

[0155] The electronic device 300 may include, but is not limited to, a mobile terminal such as a digital broadcast receiver, a PDA (Personal Digital Assistant), a PMP (Portable Multimedia Player), etc., and a fixed terminal such as a digital TV, a desktop computer, etc., and may also be a server, etc.

[0156] Based on the same technical concept, the present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the current representation number correction method in the above-mentioned variable frequency circuit are implemented.

[0157] The computer-readable storage medium may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0158] The terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed, or also includes elements inherent to such process, method, article, or apparatus.

[0159] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0160] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0161] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A method for correcting the current representation number in a frequency conversion circuit, characterized in that: include: Based on the secondary circuit of the voltage transformer, the frequency value in the frequency conversion circuit is collected, and based on the frequency value, the action stroke of the frequency connecting rod is obtained; Based on the secondary circuit of the current transformer, collecting the current signal in the frequency conversion circuit; Based on the action stroke, the current signal is compensated to obtain a first compensated current signal, and based on the first compensated current signal, a current indication pointer of the ammeter is driven to deflect to display a corrected current indication; The compensating the current signal based on the action stroke comprises: obtaining multi-source data corresponding to the frequency conversion circuit based on the Internet of Things technology, wherein the multi-source data is a parameter characterizing the operating state and operating environment of the frequency conversion circuit; obtaining a unit stroke compensation amount and a total compensation amount corresponding to the action stroke based on the multi-source data, and compensating the current signal based on the total compensation amount; The method further comprises: Based on the usage scenario, measurement range and accuracy requirements corresponding to the ammeter, the debugging standard of the ammeter in the current debugging operation is obtained; based on the debugging standard, a first debugging signal corresponding to the voltage transformer and a second debugging signal corresponding to the current transformer are generated, and based on the first debugging signal and the second debugging signal, a second compensation current signal corresponding to the ammeter is obtained; a target compensation current signal corresponding to the first debugging signal and the second debugging signal is obtained; a deviation between the second compensation current signal and the target compensation current signal is calculated, and based on the deviation, an adjustment strategy for the internal parameters corresponding to the ammeter is obtained; Before obtaining the debugging standard of the ammeter in the current debugging operation based on the usage scenario, measurement range and accuracy requirement corresponding to the ammeter, it also includes: if the current debugging operation is not the first debugging operation, obtaining the current debugging time corresponding to the current debugging operation based on multiple historical debugging operation records corresponding to the ammeter, and the multiple historical debugging operation records all include historical debugging time and historical debugging difficulty level, and the historical debugging difficulty level is a level assessed according to debugging complexity and time consumption; judging whether the current time reaches the current debugging time; if so, executing the step of obtaining the debugging standard of the ammeter in the current debugging operation based on the usage scenario, measurement range and accuracy requirement corresponding to the ammeter.

2. A method for correcting the current representation number in a frequency conversion circuit according to claim 1, characterized in that: After driving the current indicating pointer of the ammeter to deflect based on the first compensation current signal, the method further includes: Acquire in real time a plurality of current process data required for calculating the first compensation current signal, where the process data is intermediate data required for characterizing and calculating the compensation current signal; For each of the current process data, generating a standard deviation control chart based on the current process data and the historical process data of the ammeter corresponding to the current process data; For each of the current process data, judging whether the current process data is abnormal data based on the standard deviation control chart; If the abnormal data exists in the plurality of current process data, determining the fault scope based on the correlation analysis technology; Based on the power system simulation model, multiple simulation process data under different fault scenarios within the fault range are simulated, and the multiple simulation process data are respectively compared with the corresponding current process data, and the fault location is determined based on the comparison result.

3. A method for correcting the current representation number in a frequency conversion circuit according to claim 2, characterized in that: After determining the fault location based on the comparison result, the method further includes: Based on the constructed fault mode library, the fault cause corresponding to the abnormal data and the fault location is obtained; Based on the fault cause, the abnormal data and the fault location, a maintenance recommendation report is generated, wherein the maintenance recommendation report includes a fault description, an impact range, maintenance steps and preventive measures.

4. A method for correcting the current representation number in a frequency conversion circuit according to claim 1, characterized in that: After driving the current indicating pointer of the ammeter to deflect based on the first compensation current signal, the method further includes: Based on a data mining algorithm, identifying the operating rules corresponding to the frequency conversion circuit, and obtaining a data cache strategy based on the operating rules, wherein the data cache strategy is a parameter that characterizes the data storage rules corresponding to the frequency conversion circuit; Based on the operating law, the unit stroke compensation amount is dynamically adjusted, and based on the prediction algorithm, the future frequency conversion trend and compensation demand of the frequency conversion circuit are predicted. The frequency conversion trend is a parameter that characterizes the future change trend of the frequency conversion circuit, and the compensation demand is a parameter that characterizes the size of the compensation amount required in the future.

5. A current representation correction system in a frequency conversion circuit, characterized in that: include: A first acquisition module is used to acquire a frequency value in the frequency conversion circuit based on a secondary circuit of a voltage transformer, and to obtain an action stroke of a frequency connecting rod based on the frequency value; A second acquisition module, used for acquiring a current signal in the frequency conversion circuit based on a secondary circuit of a current transformer; A compensation module, used for compensating the current signal based on the action stroke to obtain a compensated first compensation current signal, and driving a current indication pointer of an ammeter to deflect based on the first compensation current signal to display a corrected current indication; The compensation module includes: an IoT acquisition submodule, which is used to acquire multi-source data corresponding to the frequency conversion circuit based on IoT technology, wherein the multi-source data is a parameter characterizing the operating state and operating environment of the frequency conversion circuit; an acquisition compensation submodule, which is used to acquire a unit stroke compensation amount and a total compensation amount corresponding to the action stroke based on the multi-source data, and compensate the current signal based on the total compensation amount; The system further includes: an acquisition standard module, which is used to acquire the debugging standard of the ammeter in the current debugging operation based on the usage scenario, measurement range and accuracy requirement corresponding to the ammeter; a generation debugging signal module, which is used to generate a first debugging signal corresponding to the voltage transformer and a second debugging signal corresponding to the current transformer based on the debugging standard, and acquire a second compensation current signal corresponding to the ammeter based on the first debugging signal and the second debugging signal; an acquisition target signal module, which is used to acquire a target compensation current signal corresponding to the first debugging signal and the second debugging signal; an acquisition adjustment strategy module, which is used to calculate the deviation between the second compensation current signal and the target compensation current signal, and acquire the adjustment strategy of the internal parameters corresponding to the ammeter based on the deviation; Before the acquisition standard module, it also includes: an acquisition time module, which is used to acquire the current debugging time corresponding to the current debugging operation based on multiple historical debugging operation records corresponding to the ammeter when the current debugging operation is not the first debugging operation, and the multiple historical debugging operation records all include historical debugging time and historical debugging difficulty level, and the historical debugging difficulty level is a level assessed according to debugging complexity and time consumption; a judgment time module, which is used to judge whether the current time reaches the current debugging time; if so, execute the processing of the acquisition standard module.

6. An electronic device, characterized in that: comprising a processor and a memory, wherein the processor is coupled to the memory; The processor is configured to execute a computer program stored in the memory, so that the electronic device executes the method according to any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that: The method comprises a computer program or an instruction, which, when executed on a computer, causes the computer to execute the method according to any one of claims 1 to 4.

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