Error monitoring method of current transformer, electronic device, system and storage medium

Abstract

The application provides an error monitoring method, an electronic device, a system and a storage medium of a current transformer. The method comprises the following steps: collecting real-time voltage and real-time current of a secondary circuit of the current transformer, and determining magnetic induction intensity of the current transformer based on the real-time voltage; obtaining a magnetization curve of the current transformer, and determining magnetic field intensity of the current transformer based on the magnetic induction intensity and the magnetization curve; and determining real-time error of the current transformer based on the real-time current and the magnetic field intensity. The application can monitor the online error of the current transformer in real time without stopping the power supply of the current transformer and without the need of test personnel and test equipment to the site, solves the problem that the current transformer cannot be periodically checked due to the inability to stop the power supply, and thus avoids the loss of manpower and material resources caused by power-off detection.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of online monitoring of power equipment, and in particular to a current transformer error monitoring method, electronic device, system and storage medium. BACKGROUND

[0002] The current transformer is an instrument that converts a large current on the primary side into a small current on the secondary side for measurement according to the principle of electromagnetic induction; it is also the source of control, protection and measurement signals of the power grid, and is crucial to the safe and efficient operation of the power grid. Under normal circumstances, relevant technical personnel will regularly monitor the error of the current transformer to ensure the safe, stable and economic operation of the current transformer, thereby further ensuring the safe and efficient operation of the power grid.

[0003] In the prior art, the error of the current transformer is usually monitored by a "periodic calibration" method. The calibration period of the electromagnetic current transformer should not exceed 10 years, but in the actual power system, there are many cases where the current transformer is not calibrated according to the calibration period. Under normal circumstances, relevant technical personnel only replace the current transformer that has been increased in capacity, damaged or has other major faults. The main reason for this phenomenon is that when calibrating the current transformer, offline verification requires power-off operation of the current transformer, and relevant technical personnel have many difficulties in regularly powering off the current transformer and returning it to the laboratory for calibration. On the one hand, the running error of the current transformer cannot be monitored in real time after it is powered off; on the other hand, powering off the current transformer may cause significant economic losses to the user.

[0004] Therefore, how to realize real-time online monitoring of the error of the current transformer to avoid the losses caused by power-off, manpower and material resources required when offline verifying the error of the current transformer is a problem that needs to be solved by those skilled in the art. SUMMARY

[0005] The embodiments of the present application provide a current transformer error monitoring method, electronic device, system and storage medium to solve the problem that the offline verification method of the current transformer in the prior art cannot monitor the running error of the current transformer in real time.

[0006] In a first aspect, the embodiments of the present application provide a current transformer error monitoring method, comprising:

[0007] acquiring real-time voltage and real-time current of a secondary circuit of the current transformer, and determining a magnetic induction intensity of the current transformer based on the real-time voltage;

[0008] obtaining a magnetization curve of the current transformer, and determining a magnetic field intensity of the current transformer based on the magnetic induction intensity and the magnetization curve;

[0009] determine a real-time error of the current transformer based on the real-time current and the magnetic field intensity.

[0010] In a possible implementation, the determining the real-time error of the current transformer based on the real-time current and the magnetic field intensity comprises:

[0011] obtaining a secondary winding number and an average length of a magnetic circuit of the current transformer;

[0012] determining the real-time error of the current transformer based on the real-time current, the magnetic field intensity, the secondary winding number, and the average length of the magnetic circuit.

[0013] In a possible implementation, the determining the real-time error of the current transformer based on the real-time current, the magnetic field intensity, the secondary winding number, and the average length of the magnetic circuit comprises:

[0014] determining the real-time error of the current transformer based on

[0015] wherein ε represents the real-time error, H represents the magnetic field intensity, l represents the average length of the magnetic circuit, I2 represents the real-time current, and N2 represents the secondary winding number.

[0016] In a possible implementation, the determining the magnetic induction intensity of the current transformer based on the real-time voltage comprises:

[0017] obtaining a cross-sectional area of a core, an operating frequency, and a core lamination coefficient of the current transformer;

[0018] determining the magnetic induction intensity of the current transformer based on the real-time voltage, the secondary winding number, the cross-sectional area of the core, the operating frequency, and the core lamination coefficient.

[0019] In a possible implementation, the determining the magnetic induction intensity of the current transformer based on the real-time voltage, the secondary winding number, the cross-sectional area of the core, the operating frequency, and the core lamination coefficient comprises:

[0020] determining the magnetic induction intensity of the current transformer based on

[0021] wherein B represents the magnetic induction intensity, U2 represents the real-time voltage, S represents the cross-sectional area of the core, f represents the operating frequency, N2 represents the secondary winding number, and k represents the core lamination coefficient.

[0022] In a possible implementation, the obtaining the magnetization curve of the current transformer and determining the magnetic field intensity of the current transformer based on the magnetic induction intensity and the magnetization curve comprises:​​

[0023] obtain a magnetization curve corresponding to a material of a core of the current transformer;

[0024] substitute the magnetic induction intensity into the magnetization curve to determine a magnetic field intensity of the current transformer corresponding to the magnetic induction intensity on the magnetization curve.

[0025] In a second aspect, an embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements steps of the method in the first aspect or any possible implementation manner of the first aspect when executing the computer program.

[0026] In a third aspect, an embodiment of the present application provides an error monitoring system of a current transformer, including the electronic device in the second aspect, and further including: a voltage sampling device and a current sampling device;

[0027] an input end of the voltage sampling device is connected in parallel with a metering winding of the current transformer, and an output end of the voltage sampling device is connected with the electronic device, and the voltage sampling device is configured to collect a real-time voltage of a secondary circuit of the current transformer;

[0028] an input end of the current sampling device is connected in series with the metering winding of the current transformer, and an output end of the current sampling device is connected with the electronic device, and the current sampling device is configured to collect a real-time current of the secondary circuit of the current transformer.

[0029] In a possible implementation manner, the error monitoring system of the current transformer further includes: a voltage signal conditioning circuit and a current signal conditioning circuit;

[0030] an input end of the voltage signal conditioning circuit is connected with an output end of the voltage sampling device, and an output end of the voltage signal conditioning circuit is connected with the electronic device, and the voltage signal conditioning circuit is configured to perform first amplification processing and first filtering processing on the real-time voltage;

[0031] an input end of the current signal conditioning circuit is connected with an output end of the current sampling device, and an output end of the current signal conditioning circuit is connected with the electronic device, and the current signal conditioning circuit is configured to perform second amplification processing and second filtering processing on the real-time current.

[0032] In a fourth aspect, an embodiment of the present application provides a computer readable storage medium, and the computer readable storage medium stores a computer program, and the computer program is executable by a processor to implement steps of the method in the first aspect or any possible implementation manner of the first aspect.

[0033] The embodiment of the present application provides a current transformer error monitoring method, electronic equipment, a system and a storage medium, real-time voltage and real-time current of a secondary circuit of a current transformer are collected in real time, and the magnetic induction intensity of the current transformer is determined based on the real-time voltage; then the magnetic field intensity of the current transformer is determined based on the obtained magnetization curve of the current transformer and the magnetic induction intensity; and the real-time error of the current transformer is determined based on the real-time current and the magnetic field intensity. The present application can monitor the online error of the current transformer in real time without power-off of the current transformer and without the need of test personnel and test equipment on site, solves the problem that the current transformer cannot be periodically checked due to power-off, and thus avoids the loss of manpower and material resources caused by power-off detection. BRIEF DESCRIPTION OF DRAWINGS

[0034] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0035] Figure 1 is an implementation flowchart of the current transformer error monitoring method provided by the embodiment of the present application;

[0036] Figure 2 is a structural schematic diagram of the current transformer error monitoring device provided by the embodiment of the present application;

[0037] Figure 3 is a schematic diagram of the electronic equipment provided by the embodiment of the present application;

[0038] Figure 4 is a structural schematic diagram of the current transformer error monitoring system provided by the embodiment of the present application;

[0039] Figure 5 is a structural schematic diagram of the current transformer error monitoring system provided by another embodiment of the present application. DETAILED DESCRIPTION

[0040] In the following description, specific details are set forth in order to provide a thorough understanding of the embodiments of the present application. However, persons skilled in the art should understand that the present application can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits and methods are omitted so as not to obscure the description of the present application with unnecessary details.

[0041] In order to make the objects, technical solutions and advantages of the present application clearer, the following will be described in detail with reference to the drawings and specific embodiments.

[0042] Figure 1 The implementation flowchart of the error monitoring method of the current transformer is provided in the embodiments of the present application. As shown in Figure 1 The error monitoring method of the current transformer provided in the embodiments of the present application comprises the following steps.

[0043] Step 101: Collecting real-time voltage and real-time current of the secondary circuit of the current transformer, and determining the magnetic induction intensity of the current transformer based on the real-time voltage.

[0044] In step 101, the real-time voltage and real-time current of the secondary circuit of the current transformer are collected in real time without power-off of the current transformer, and the magnetic induction intensity of the current transformer can be further determined based on the collected real-time voltage. For example, the high-precision real-time voltage and real-time current can be obtained based on the voltage / current collection device with high collection precision, thereby facilitating the guarantee of the calculation precision when the real-time error of the current transformer is calculated subsequently.

[0045] In a possible implementation, the magnetic induction intensity of the current transformer is determined based on the real-time voltage, comprising:

[0046] The cross-sectional area of the core of the current transformer, the working frequency and the core lamination coefficient are obtained.

[0047] The magnetic induction intensity of the current transformer is determined based on the real-time voltage, the number of turns of the secondary winding, the cross-sectional area of the core, the working frequency and the core lamination coefficient.

[0048] In the embodiments, the number of turns of the secondary winding, the cross-sectional area of the core, the working frequency and the core lamination coefficient of the current transformer can be further obtained according to the basic parameters of the current transformer. For example, the number of turns of the secondary winding of the current transformer can be determined based on the secondary turn parameter of the current transformer. The cross-sectional area of the core and the core lamination coefficient of the current transformer can be determined based on the core parameter of the current transformer, and the core parameter can include the core material and the inner and outer diameters of the core. For example, the cross-sectional area of the core can be determined based on the inner and outer diameters of the core. The working frequency is the frequency of the current transformer in normal working operation.

[0049] After obtaining the above parameter values, the real-time magnetic induction intensity of the current transformer can be further accurately obtained based on the parameter values, that is, the real-time magnetic induction intensity of the current transformer is accurately calculated based on the secondary winding number of the current transformer, the cross-sectional area of the core, the working frequency, the core lamination coefficient, and the real-time voltage of the secondary circuit of the current transformer. In this way, accurate data support can be provided for subsequent calculation of the real-time error of the current transformer, thereby facilitating the normal operation of the current transformer and the safe, stable and economic operation of the power grid.

[0050] In a possible implementation, the magnetic induction intensity of the current transformer is determined based on the real-time voltage, the secondary winding number, the cross-sectional area of the core, the working frequency, and the core lamination coefficient, comprising:

[0051] based on determining the magnetic induction intensity of the current transformer.

[0052] wherein B represents the magnetic induction intensity, U2 represents the real-time voltage, S represents the cross-sectional area of the core, f represents the working frequency, N2 represents the secondary winding number, and k represents the core lamination coefficient.

[0053] In this embodiment, 4.44 can represent the effective calculation value of the magnetic induction intensity, the unit of the magnetic induction intensity can be Tesla, the unit of the real-time voltage can be volt, the unit of the cross-sectional area of the core can be square meter, and the working frequency of the current transformer can be 50Hz or other working frequencies, which are not limited in the present application.

[0054] In this embodiment, by calculating the high-precision magnetic induction intensity of the current transformer in real time, it is beneficial to the subsequent calculation of the real-time error of the current transformer, and thus it is also beneficial to the safe operation of the current transformer.

[0055] Step 102: Obtain the magnetization curve of the current transformer, and determine the magnetic field intensity of the current transformer based on the magnetic induction intensity and the magnetization curve.

[0056] In step 102, the magnetization curve of the current transformer can be obtained, and the real-time magnetic field intensity of the current transformer can be determined based on the magnetic induction intensity and the magnetization curve. The magnetization curve describes the mapping relationship between the magnetic induction intensity and the magnetic field intensity, so the magnetic field intensity corresponding to the real-time magnetic induction intensity can be determined in real time on the magnetization curve based on the real-time magnetic induction intensity. In this way, the magnetic field intensity of the current transformer can be quickly obtained, thereby providing accurate data support for the calculation of the real-time error of the current transformer.

[0057] In a possible implementation, the magnetization curve of the current transformer is obtained, and the magnetic field intensity of the current transformer is determined based on the magnetic induction intensity and the magnetization curve, comprising:

[0058] Obtaining a magnetization curve corresponding to the core material of the current transformer.

[0059] Substituting the magnetic induction into the magnetization curve, the magnetic field strength of the current transformer corresponding to the magnetic induction on the magnetization curve is determined.

[0060] In the embodiment, different core materials can correspond to different magnetization curves. The core material of the current transformer can be determined according to the core parameters of the current transformer, and then the magnetization curve corresponding to the core material of the current transformer is further determined based on the core material of the current transformer. For example, the core material can include cold-rolled silicon steel sheet, permalloy or iron-based ultrafine grain alloy, etc. Since the magnetization curve describes the mapping relationship between the magnetic induction and the magnetic field strength, the real-time magnetic induction calculated can be substituted into the magnetization curve, so as to determine the real-time magnetic field strength of the current transformer corresponding to the current real-time magnetic induction on the magnetization curve. In the embodiment, based on the mapping relationship between the magnetic induction and the magnetic field strength on the magnetization curve, the real-time magnetic field strength of the current transformer can be quickly determined. In this way, on the one hand, accurate data support is provided for the calculation of the real-time error of the current transformer; on the other hand, the efficiency of the error monitoring of the current transformer is also effectively improved.

[0061] Step 103: determining the real-time error of the current transformer based on the real-time current and the magnetic field strength.

[0062] In step 103, after determining the real-time magnetic field strength of the current transformer, the real-time error of the current transformer can be determined based on the real-time current and the magnetic field strength of the current transformer. In the embodiment, the real-time error of the current transformer can be determined based on the real-time current and the magnetic field strength collected in real time without power-off of the current transformer. In this way, not only the human and material resources and economic losses caused by power-off verification of the current transformer are avoided, but also the online error of the current transformer is effectively monitored in real time, thereby facilitating the safe and stable operation of the current transformer.

[0063] In one possible implementation, the real-time error of the current transformer is determined based on the real-time current and the magnetic field strength, including:

[0064] Obtaining the secondary winding turns and the average length of the core magnetic circuit of the current transformer.

[0065] Determining the real-time error of the current transformer based on the real-time current, the magnetic field strength, the secondary winding turns and the average length of the core magnetic circuit.

[0066] In this embodiment, the average length of the magnetic circuit of the core of the current transformer is exemplarily the average length of the magnetic circuit of the core of the current transformer, and the specific value can be determined based on the core parameters of the current transformer. By obtaining the number of turns of the secondary winding of the current transformer and the average length of the magnetic circuit of the core, the real-time error of the current transformer is further determined based on the real-time current of the secondary circuit of the current transformer, the real-time magnetic field strength of the current transformer, the number of turns of the secondary winding of the current transformer, and the average length of the magnetic circuit of the core, so as to realize real-time monitoring of the online error of the current transformer.

[0067] In a possible implementation, the real-time error of the current transformer is determined based on the real-time current, the magnetic field strength, the number of turns of the secondary winding, and the average length of the magnetic circuit of the core, and includes:

[0068] The real-time error of the current transformer is determined based on

[0069] wherein ε represents the real-time error, H represents the magnetic field strength, I represents the average length of the magnetic circuit of the core, I2 represents the real-time current, and N2 represents the number of turns of the secondary winding.

[0070] In this embodiment, the unit of the average length of the magnetic circuit of the core can be meter, which is not limited in the present application.

[0071] In addition, it should be noted that the current real-time error of the current transformer is a composite error of the current transformer, and the real-time running state of the current transformer can be obtained by decomposing the real-time error.

[0072] In this embodiment, the real-time error of the current transformer is obtained based on the real-time current of the secondary circuit of the current transformer, the number of turns of the secondary winding of the current transformer, the average length of the magnetic circuit of the core, and the real-time magnetic field strength. On the one hand, the problem that the current transformer cannot be periodically calibrated due to the inconvenience of power failure is solved, the online error of the current transformer can be monitored in real time, and the human and material resources and economic losses caused by power failure detection are reduced. On the other hand, the real-time error of the current transformer can be further decomposed into a ratio difference and a phase difference to determine the real-time running state of the current transformer, thereby providing accurate data support for subsequent prediction of the future state and service life of the current transformer.

[0073] ​In summary, the current transformer error monitoring method provided by the embodiment of the present application can realize online monitoring of real-time error of the current transformer, thereby effectively avoiding the human and material resources and economic losses caused by offline error detection of the current transformer; meanwhile, the online error monitoring of the current transformer is performed in the actual operation environment of the current transformer, which is more real and accurate than the offline detection method, thereby also reflecting the real accuracy of the error result of the current transformer.

[0074] It should be understood that the size of the serial number of each step in the above embodiment does not mean the order of execution, and the execution order of each process should be determined according to its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiment of the present application.

[0075] The following is a device embodiment of the present application, and for details not described in detail, reference can be made to the corresponding method embodiments described above.

[0076] Figure 2 The structure of the current transformer error monitoring device provided by the embodiment of the present application is shown, only the part related to the embodiment of the present application is shown for convenience of description, and the details are described as follows:

[0077] As shown in Figure 2 The current transformer error monitoring device 2 comprises:

[0078] The real-time data acquisition module 201 is configured to acquire real-time voltage and real-time current of the secondary circuit of the current transformer, and determine the magnetic induction intensity of the current transformer based on the real-time voltage.

[0079] The magnetic field intensity determination module 202 is configured to acquire the magnetization curve of the current transformer, and determine the magnetic field intensity of the current transformer based on the magnetic induction intensity and the magnetization curve.

[0080] The real-time error calculation module 203 is configured to determine the real-time error of the current transformer based on the real-time current and the magnetic field intensity.

[0081] The embodiment of the present application provides a kind of error monitoring device of current transformer, comprising: real-time data acquisition module 201, magnetic field intensity determination module 202 and real-time error calculation module 203.The real-time voltage and real-time current of the secondary circuit of current transformer are acquired in real time, and the magnetic induction intensity of current transformer is determined based on real-time voltage;Then further based on the magnetization curve of current transformer obtained, the magnetic field intensity of current transformer is determined in combination with magnetic induction intensity;Then the real-time error of current transformer is determined based on real-time current and magnetic field intensity.The present application can monitor the online error of current transformer in real time under the condition that current transformer is not power off and without test personnel and test equipment to the scene, solve the problem that current transformer cannot be periodically checked due to power off, so as to avoid the loss of manpower and material resources caused by power-off detection.

[0082] In a possible implementation manner, the real-time data acquisition module 201 is specifically configured to:

[0083] The cross-sectional area of the core of the current transformer, the working frequency and the core lamination coefficient are acquired.

[0084] The magnetic induction intensity of the current transformer is determined based on the real-time voltage, the number of turns of the secondary winding, the cross-sectional area of the core, the working frequency and the core lamination coefficient.

[0085] In a possible implementation manner, the real-time data acquisition module 201 is further specifically configured to:

[0086] The magnetic induction intensity of the current transformer is determined based on

[0087] Wherein, B represents the magnetic induction intensity, U2 represents the real-time voltage, S represents the cross-sectional area of the core, f represents the working frequency, N2 represents the number of turns of the secondary winding, and k represents the core lamination coefficient.

[0088] In a possible implementation manner, the magnetic field intensity determination module 202 is specifically configured to:

[0089] The magnetization curve corresponding to the core material of the current transformer is acquired.

[0090] The magnetic field intensity of the current transformer corresponding to the magnetic induction intensity on the magnetization curve is determined by substituting the magnetic induction intensity into the magnetization curve.

[0091] In a possible implementation manner, the real-time error calculation module 203 is specifically configured to:

[0092] The number of turns of the secondary winding and the average length of the core magnetic circuit of the current transformer are acquired.

[0093] The real-time error of the current transformer is determined based on the real-time current, the magnetic field intensity, the number of turns of the secondary winding and the average length of the core magnetic circuit.​

[0094] In a possible implementation, the real-time error calculation module 203 is further specifically configured to:

[0095] based on determine the real-time error of the current transformer.

[0096] wherein ε represents the real-time error, H represents the magnetic field strength, l represents the average length of the magnetic circuit of the core, I2 represents the real-time current, and N2 represents the number of turns of the secondary winding.

[0097] Figure 3 A schematic diagram of an electronic device according to an embodiment of the present application is shown in FIG. 3. As shown in FIG. 3, the electronic device 3 according to this embodiment includes a processor 30, a memory 31, and a computer program 32 stored in the memory 31 and executable on the processor 30. The processor 30 implements the steps in each of the current transformer error monitoring method embodiments described above when executing the computer program 32, such as the steps 101 to 103 shown in FIG. 1. Alternatively, the processor 30 implements the functions of each module in each of the device embodiments described above when executing the computer program 32, such as the functions of the modules 201 to 203 shown in FIG. 2. Figure 3 Figure 1 Figure 2

[0098] For example, the computer program 32 can be divided into one or more modules / units, which are stored in the memory 31 and executed by the processor 30 to complete the present application. The one or more modules / units can be a series of computer program instruction segments capable of completing a specific function, which are used to describe the execution process of the computer program 32 in the electronic device 3. For example, the computer program 32 can be divided into the modules 201 to 203 shown in FIG. 2. Figure 2

[0099] The electronic device 3 can be a desktop computer, a notebook computer, a palm computer, a cloud server, or the like. The electronic device 3 can include, but is not limited to, the processor 30 and the memory 31. Those skilled in the art can understand that Figure 3 The electronic device 3 is merely an example and does not constitute a limitation on the electronic device 3, and can include more or fewer components than those shown, or combine certain components, or include different components, for example, the electronic device can further include an input / output device, a network access device, a bus, and the like.

[0100] ​​​​The processor 30 can be a central processing unit (CPU), and can also be other general-purpose processors, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0101] The memory 31 can be an internal storage unit of the electronic device 3, such as a hard disk or a memory of the electronic device 3. The memory 31 can also be an external storage device of the electronic device 3, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. provided on the electronic device 3. Further, the memory 31 can include both the internal storage unit and the external storage device of the electronic device 3. The memory 31 is used to store the computer program and other programs and data required by the electronic device. The memory 31 can also be used to temporarily store data that has been output or will be output.

[0102] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above functional units and modules is exemplified, and in actual application, the above functions can be completed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to complete all or part of the above described functions. Each functional unit and module in the embodiment can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit, and the integrated unit can be realized in the form of hardware or in the form of software functional unit. In addition, the specific names of each functional unit and module are only for easy distinction, and do not limit the protection scope of the present application. The specific working process of the units and modules in the system can refer to the corresponding process in the foregoing method embodiments, which will not be described here.

[0103] The embodiment of the present application also provides an error monitoring system of a current transformer. Figure 4 The structural schematic diagram of the error monitoring system of the current transformer provided by the embodiment of the present application is shown in Figure 4As shown, the error monitoring system 4 of the current transformer comprises the electronic device 3, and further comprises: a voltage sampling device 402 and a current sampling device 403.

[0104] The input end of the voltage sampling device 402 is connected in parallel with the metering winding 401 of the current transformer, and the output end is connected with the electronic device 3, for collecting the real-time voltage of the secondary circuit of the current transformer.

[0105] The input end of the current sampling device 403 is connected in series with the metering winding 401 of the current transformer, and the output end is connected with the electronic device 3, for collecting the real-time current of the secondary circuit of the current transformer.

[0106] In the embodiment, the input end of the voltage sampling device 402 can be connected in parallel with the metering winding 401 of the current transformer through a twisted shielded wire, and the output end can be connected with the electronic device 3 through a twisted shielded wire, so as to collect the real-time voltage of the secondary circuit of the current transformer, and ensure that the collected real-time voltage data can be quickly, safely and non-interferingly transmitted to the electronic device 3.

[0107] The input end of the current sampling device 403 can be connected in series with the metering winding 401 of the current transformer through a twisted shielded wire, and the output end can be connected with the electronic device 3 through a twisted shielded wire, so as to collect the real-time current of the secondary circuit of the current transformer, and ensure that the collected real-time current data can be quickly, safely and non-interferingly transmitted to the electronic device 3.

[0108] The error monitoring system of the current transformer provided by the embodiment comprises: an electronic device 3, and further comprises: a voltage sampling device 402 and a current sampling device 403. The real-time voltage and the real-time current of the secondary circuit of the current transformer are collected in real time, and the magnetic induction intensity of the current transformer is determined based on the real-time voltage. Then, the magnetic field intensity of the current transformer is determined based on the obtained magnetization curve of the current transformer and the magnetic induction intensity. Then, the real-time error of the current transformer is determined based on the real-time current and the magnetic field intensity. The current transformer can be monitored in real time without power-off and without the need of test personnel and test equipment on site, so that the problem that the current transformer cannot be periodically checked due to power-off is solved, and the loss of manpower and material resources caused by power-off detection is avoided.

[0109] In a possible implementation manner, Figure 5 The structure schematic diagram of the error monitoring system of the current transformer provided by another embodiment of the present application is shown in the figure, Figure 5 As shown, the error monitoring system 4 of the current transformer further comprises: a voltage signal conditioning circuit 404 and a current signal conditioning circuit 405.

[0110] The input end of the voltage signal conditioning circuit 404 is connected with the output end of the voltage sampling device 402, and the output end is connected with the electronic device 3, for performing first amplification processing and first filtering processing on the real-time voltage.

[0111] The input end of the current signal conditioning circuit 405 is connected with the output end of the current sampling device 403, and the output end is connected with the electronic device 3, for performing second amplification processing and second filtering processing on the real-time current.

[0112] In the embodiment, the electronic device 3 can be a DSP core algorithm board for example. After the voltage signal conditioning circuit 404 performs first amplification processing and first filtering processing on the real-time voltage, the voltage signal conditioning circuit 404 can further perform first digital-analog conversion processing on the processed real-time voltage, so as to obtain a signal recognizable by the DSP core algorithm board for representing the real-time voltage. After the current signal conditioning circuit 405 performs second amplification processing and second filtering processing on the real-time current, the current signal conditioning circuit 405 can further perform second digital-analog conversion processing on the processed real-time current, so as to obtain a signal recognizable by the DSP core algorithm board for representing the real-time current.

[0113] For example, after the DSP core algorithm board obtains the signals respectively corresponding to the real-time voltage data and the real-time current data, the DSP core algorithm board can extract signal characteristics, and store, analyze and calculate the extracted data, so as to obtain the real-time voltage of the current transformer. The present application does not make any limitation in this regard.

[0114] In addition, when monitoring the real-time error of the current transformer, the real-time voltage data and the real-time current data should be data collected at the same time, so that the voltage sampling device 402 and the current sampling device 403 can be synchronously controlled by additionally setting a synchronous sampling control unit, so as to ensure that the real-time voltage and the real-time current at the current time / certain time can be synchronously acquired.

[0115] Optionally, a data display device can be additionally set, so as to display the calculation result of the real-time error of the current transformer, the real-time voltage and the real-time current of the secondary circuit of the current transformer, the collection time of the real-time voltage / current and other data on the data display device in real time, so as to facilitate relevant technical personnel to view or record the data.

[0116] Optionally, the electronic device in the present application can be powered by itself, or can be powered by an external power source. For example, the external power source can be a wind-solar power generation battery, which is used by the electronic device by means of new energy power generation, so as to reduce the consumption of fossil energy.

[0117] In the above embodiments, the description of each embodiment has its own emphasis, and the parts not described or recorded in detail in a certain embodiment can be referred to the related description of other embodiments.

[0118] Those skilled in the art can understand that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be realized by electronic hardware or a combination of computer software and electronic hardware. Whether the functions are realized in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0119] In the embodiments provided by the present application, it should be understood that the disclosed apparatus / equipment and method can be implemented in other ways. For example, the apparatus / equipment embodiments described above are merely schematic. The division of the modules or units is merely a logical function division, and there can be another division manner in actual implementation. For example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed coupling or direct coupling or communication connection between the units can be indirect coupling or communication connection through some interface, device or unit, and can be electrical, mechanical or in other forms.

[0120] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, i.e. they can be located in one place, or distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiments.

[0121] In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or each unit can exist physically independently, or two or more units can be integrated into one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0122] The integrated module / unit, if realized in the form of a software function unit and sold or used as an independent product, can be stored in a computer-readable storage medium. Based on such understanding, all or part of the processes in the above-mentioned embodiment methods can also be completed by a computer program instructing related hardware, and the computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of each current transformer error monitoring method embodiment described above can be implemented. The computer program includes computer program code, which can be in the form of source code, object code, an executable file, or some intermediate form, etc. The computer-readable medium can include any entity or device capable of carrying the computer program code, a recording medium, a U disk, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc. It should be noted that the contents included in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction, for example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

[0123] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application.

Claims

1. A method of error monitoring of a current transformer, characterized by, The method comprises the following steps: collecting real-time voltage and real-time current of the secondary circuit of the current transformer, and determining the magnetic induction intensity of the current transformer based on the real-time voltage; obtaining the magnetization curve of the current transformer, and determining the magnetic field intensity of the current transformer based on the magnetic induction intensity and the magnetization curve; determining the real-time error of the current transformer based on the real-time current and the magnetic field intensity; the method further comprises the following steps: obtaining the magnetization curve corresponding to the core material of the current transformer; wherein the core material of the current transformer is determined according to the core parameters of the current transformer, and then the corresponding magnetization curve is determined based on the core material of the current transformer; substituting the magnetic induction intensity into the magnetization curve to determine the magnetic field intensity of the current transformer corresponding to the magnetic induction intensity on the magnetization curve; the method further comprises the following steps: obtaining the secondary winding turns and the average length of the core magnetic circuit of the current transformer; determining the real-time error of the current transformer based on the real-time current, the magnetic field intensity, the secondary winding turns and the average length of the core magnetic circuit; the method further comprises the following steps: based on determining a real-time error of the current transformer; wherein, denotes the real-time error, denotes the magnetic field strength, denotes the average length of the magnetic circuit of the core, denotes the real-time current, denotes the number of turns of the secondary winding.

2. The error monitoring method of a current transformer according to claim 1, characterized by, the method further comprises the following steps: obtaining the core cross-sectional area, the working frequency and the core lamination coefficient of the current transformer; determining the magnetic induction intensity of the current transformer based on the real-time voltage, the secondary winding turns, the core cross-sectional area, the working frequency and the core lamination coefficient.

3. The error monitoring method of a current transformer according to claim 2, characterized by, the method further comprises the following steps: Based on , determine the magnetic induction intensity of the current transformer; wherein, represents the magnetic induction, represents the real-time voltage, represents the core cross-sectional area, represents the operating frequency, represents the secondary winding turns, represents the core lamination factor.

4. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, the processor executes the computer program to realize the steps of the method of any one of claims 1 to 3.

5. An error monitoring system for a current transformer, characterized by The electronic device comprises the voltage sampling device and the current sampling device. The input end of the voltage sampling device is connected in parallel with the metering winding of the current transformer, and the output end is connected with the electronic device, for collecting the real-time voltage of the secondary circuit of the current transformer. The input end of the current sampling device is connected in series with the metering winding of the current transformer, and the output end is connected with the electronic device, for collecting the real-time current of the secondary circuit of the current transformer.

6. The error monitoring system of a current transformer according to claim 5, characterized in that, The method further comprises the following steps: voltage signal conditioning circuit and current signal conditioning circuit; The input end of the voltage signal conditioning circuit is connected with the output end of the voltage sampling device, and the output end is connected with the electronic device, for performing first amplification processing and first filtering processing on the real-time voltage. The input end of the current signal conditioning circuit is connected with the output end of the current sampling device, and the output end is connected with the electronic device, for performing second amplification processing and second filtering processing on the real-time current.

7. A computer-readable storage medium storing a computer program, wherein the computer program comprises the following steps of: receiving a request for a resource from a client; determining whether the client is authorized to access the resource; and if the client is authorized to access the resource, providing the resource to the client. The computer program, which is executed by a processor, implements the steps of the method according to any one of claims 1 to 3 as described above.

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