Switch cabinet mutual inductor insulation detection method, device and equipment and storage medium

Abstract

The invention relates to the technical field of equipment control, in particular to a switch cabinet mutual inductor insulation detection method, device and equipment and a storage medium. Mutual inductor insulation detection is carried out through a preset discharge range and target detection data; the insulation state detection of different types of switch cabinet mutual inductors is realized, and error correction is performed on detection data output by the insulation detection device, so that the influence of the insulation detection device accessing a power system is reduced, and the efficiency and effect of insulation state detection of the mutual inductors in the switch cabinet are improved. The technical problem that in the prior art, the efficiency of detecting the insulation state of the operating switch cabinet mutual inductor is low is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment control, and in particular to a method, device, equipment and storage medium for detecting insulation of a switch cabinet mutual inductor. Background Art

[0002] In the power system, in order to realize the conversion of high voltage into low voltage, or the conversion of large current into small current, at least one transformer is set in the power system to control and monitor the power system. In terms of use, the transformer includes current transformer and voltage transformer. In terms of material, the transformer includes capacitive transformer, non-capacitive transformer, oil-immersed transformer and gas transformer, etc. Regardless of which of the above transformers, during the operation of the power system, the transformer may fail in insulation, resulting in power system operation failure or discharge hazards. However, the prior art lacks effective means for detecting the insulation status of the operating switch cabinet transformer, and the monitoring efficiency is low.

[0003] The above contents are only used to assist in understanding the technical solution of the present invention and do not constitute an admission that the above contents are prior art. Summary of the invention

[0004] The main purpose of the present invention is to provide a switch cabinet transformer insulation detection method, device, equipment and storage medium, aiming to solve the technical problem of low efficiency in insulation status detection of a switch cabinet transformer in operation in the prior art.

[0005] To achieve the above object, the present invention provides a switch cabinet transformer insulation detection method, the method comprising the following steps:

[0006] Identify the type of instrument transformer in the switchgear;

[0007] When the transformer type is a solid insulation transformer, driving an insulation detection device and acquiring detection data output by the insulation detection device, wherein the insulation detection device is an insulation detection device electrically connected to the switch cabinet, and the insulation detection device corresponds to the type of the solid insulation transformer;

[0008] Performing error correction on the detection data to obtain target detection data;

[0009] The transformer insulation detection is performed by presetting the discharge range and the target detection data.

[0010] Optionally, the solid insulation transformer includes at least a capacitive insulation transformer and a non-capacitive insulation transformer, and accordingly, the insulation detection device includes at least a first insulation detection device corresponding to the capacitive insulation transformer and a second insulation detection device corresponding to the non-capacitive insulation transformer;

[0011] Wherein, the first insulation detection device at least comprises: a frequency multiplier generator, a voltage regulator, a test interface, a first partial discharge meter, a test capacitor, a single-pole multi-throw switch and a square wave generator, the input end of the frequency multiplier generator is connected to an external three-phase power supply, the first output end and the second output end of the frequency multiplier generator are respectively connected to the first fixed terminal and the second fixed terminal of the voltage regulator, the movable scribe of the voltage regulator is connected to the first port of the test interface, the second fixed terminal is connected to the second port of the test interface, the third port of the test interface is connected to an external power supply, the fourth port of the test interface is connected to the long-pass end of the single-pole multi-throw switch, the first selection end of the single-pole multi-throw switch is grounded, the second selection end of the single-pole throw switch is connected to the first end of the first partial discharge meter, the second end of the first partial discharge meter is grounded, the third selection end of the single-pole multi-throw switch is connected to the second end of the square wave generator, the first end of the square wave generator is connected to the second end of the test capacitor, and the first section of the test capacitor is connected to the external power supply;

[0012] The second insulation detection device at least includes: a test transformer, a coupling capacitor, a second partial discharge meter, a pulse generator, a test resistor and a filter. The first end and the second end of the test transformer are connected to an external power supply, the third end of the test transformer is connected to the first end of the filter, the fourth end of the test transformer is respectively connected to the coupling capacitor and the second end of the test resistor, the first end of the test resistor is respectively connected to the second partial discharge meter and the second end of the pulse generator, and the second end of the filter is respectively connected to the second end of the second partial discharge meter, the second end of the pulse generator and the first end of the filter.

[0013] Optionally, the driving the insulation detection device and obtaining the detection data output by the insulation detection device includes:

[0014] When the mutual inductor is a non-capacitive insulation mutual inductor, a first voltage is applied to a frequency multiplication generator in the first insulation detection device, and a second voltage is output, wherein the second voltage is at least twice the first voltage, so as to collect partial discharge data of the mutual inductor through a first partial discharge measuring device, wherein the partial discharge data at least includes: discharge amount, discharge cycle and discharge distribution data;

[0015] When the transformer type is a capacitive insulation transformer, a third voltage is applied to the second insulation detection device, and the input voltage is reduced by a preset difference until it is reduced to a fourth voltage, so as to collect partial discharge data of the transformer through a second partial discharge meter.

[0016] Optionally, after applying the first voltage to the frequency multiplication generator in the first insulation detection device and outputting the second voltage, the method further includes:

[0017] Running the square wave generator to input a plurality of voltages of different magnitudes into the test capacitor;

[0018] collecting the discharge amount of the test capacitor;

[0019] The partial discharge data is corrected according to the collected discharge amount to obtain target partial discharge data.

[0020] Optionally, the performing transformer insulation detection by using a preset discharge range and the target detection data includes:

[0021] Determine target detection data of low voltage level according to the type of the transformer;

[0022] Perform at least two sampling inspections on the target detection data of the low voltage level to obtain first sampling inspection data and second sampling inspection data, wherein a proportion of the first sampling inspection data to the target detection data is less than a proportion of the second sampling inspection data to the target detection data;

[0023] Querying a safe discharge interval through a preset discharge restriction list according to the type of the transformer and the voltage data of the transformer;

[0024] When the first sampling data is not within the safe discharge interval, determining that the insulation state of the mutual inductor is abnormal;

[0025] When the first sampling data is within the safe discharge interval and the second sampling data is not within the safe discharge interval, determining that the insulation state of the mutual inductor is pending;

[0026] When both the first sampling data and the second sampling data are within the safe discharge interval, it is determined that the insulation state of the mutual inductor is normal.

[0027] Optionally, after identifying the type of the transformer in the switch cabinet, the method further includes:

[0028] When the transformer is a non-solid insulation transformer, injecting a modulated optical signal into the transformer and collecting a reflected optical signal passing through the transformer;

[0029] The modulated light signal and the reflected light signal are analyzed by a preset light signal analysis model to obtain energy change data between the two light signals;

[0030] The current insulation state of the transformer is determined according to the energy change data.

[0031] Optionally, the step of parsing the modulated optical signal and the reflected optical signal by using a preset optical signal parsing model to obtain energy change data between the two optical signals includes:

[0032] The method of analyzing the reflected light signal and the modulated light signal by using a preset temperature change analysis model to obtain a temperature change value between the two light signals and the corresponding thermal signal includes:

[0033] Obtaining a second harmonic peak ratio of the reflected light signal;

[0034] determining a transition energy level difference between the modulated optical signal and the reflected optical signal;

[0035] Query the absorption line intensity corresponding to the reflected light signal at the reference temperature;

[0036] The energy change data between the two light signals is calculated according to the second harmonic peak ratio, the transition energy level difference, the absorption line intensity and a preset constant.

[0037] In addition, to achieve the above-mentioned purpose, the present invention also proposes a switch cabinet transformer insulation detection device, the switch cabinet transformer insulation detection device comprising:

[0038] Identification module, used to identify the type of transformer in the switch cabinet;

[0039] A driving module, used for driving an insulation detection device and obtaining detection data output by the insulation detection device when the transformer type is a solid insulation transformer, wherein the insulation detection device is an insulation detection device electrically connected to the switch cabinet, and the insulation detection device corresponds to the type of the solid insulation transformer;

[0040] A correction module, used for performing error correction on the detection data to obtain target detection data;

[0041] The detection module is used to perform transformer insulation detection based on a preset discharge range and the target detection data.

[0042] In addition, to achieve the above-mentioned purpose, the present invention also proposes a switch cabinet transformer insulation detection device, which includes: a memory, a processor, and a switch cabinet transformer insulation detection program stored in the memory and executable on the processor, and the switch cabinet transformer insulation detection program is configured to implement the steps of the switch cabinet transformer insulation detection method as described above.

[0043] In addition, to achieve the above objectives, the present invention also proposes a storage medium, on which a switch cabinet transformer insulation detection program is stored. When the switch cabinet transformer insulation detection program is executed by a processor, the steps of the switch cabinet transformer insulation detection method described above are implemented.

[0044] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps of the switch cabinet transformer insulation detection method as described above are implemented.

[0045] One or more technical solutions proposed in the present invention have at least the following technical effects: the present invention identifies the category of the transformer in the switch cabinet; when the category of the transformer is a solid insulation transformer, drives the insulation detection device and obtains the detection data output by the insulation detection device, the insulation detection device is an insulation detection device electrically connected to the switch cabinet, and the insulation detection device corresponds to the category of the solid insulation transformer; performs error correction on the detection data to obtain target detection data; performs transformer insulation detection according to a preset discharge range and the target detection data, and connects the insulation detection device corresponding to the transformer category to realize insulation state detection of transformers of different categories of switch cabinets, and performs error correction on the detection data output by the insulation detection device to reduce the impact of the insulation detection device being connected to the power system, thereby improving the efficiency and effect of insulation state detection of the transformer in the switch cabinet, and avoiding the technical problem of low efficiency in insulation state detection of the operating switch cabinet transformer in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0047] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0048] Figure 1 It is a flow chart of a first embodiment of a method for detecting insulation of a transformer in a switch cabinet according to the present invention;

[0049] Figure 2 It is a schematic diagram of the architecture of a first insulation detection device of an embodiment of a method for detecting insulation of a transformer in a switch cabinet according to the present invention;

[0050] Figure 3It is a schematic diagram of the architecture of a second insulation detection device of an embodiment of a method for detecting insulation of a transformer in a switch cabinet according to the present invention;

[0051] Figure 4 It is a flow chart of a second embodiment of a method for detecting insulation of a transformer in a switch cabinet according to the present invention;

[0052] Figure 5 It is a structural block diagram of the first embodiment of the switch cabinet transformer insulation detection device of the present invention;

[0053] Figure 6 It is a structural schematic diagram of a switch cabinet transformer insulation detection device in a hardware operating environment involved in an embodiment of the present invention.

[0054] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0055] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0056] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0057] Based on this, the embodiment of the present invention provides a switch cabinet transformer insulation detection method, referring to Figure 1 , Figure 1 The present invention is a flow chart of a first embodiment of a method for detecting insulation of a switch cabinet transformer according to the present invention.

[0058] In this embodiment, the switch cabinet transformer insulation detection method includes:

[0059] Step S10: Identify the type of the transformer in the switch cabinet.

[0060] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device, a control terminal and a cloud server that can realize the above functions. The control terminal of the power system is taken as an example to illustrate this embodiment and the following embodiments.

[0061] It is understandable that the switchgear mainly plays the role of transmission, distribution, conversion and transit in the power system. In order to convert high voltage into low voltage, or convert large current into small current, the switchgear will be equipped with a transformer to meet the operating requirements of various equipment in the power system. However, with the long-term operation of the equipment, the transformer will short-circuit or fail in withstand voltage, which will affect the insulation state of the transformer, causing high voltage or large current to be directly input into various power equipment, causing damage to the equipment.

[0062] However, since the usage requirements of the power system in different scenarios vary, when selecting the transformer in the switch cabinet, the transformer is required to meet different conditions to improve the anti-interference ability of the power system. Therefore, when performing insulation identification on the transformer in the switch cabinet, it is necessary to identify the type of the transformer in advance, and then use different methods to perform insulation detection according to different types of transformers.

[0063] In this embodiment, the categories of transformers are specifically divided into solid insulation transformers and non-solid insulation transformers. Specifically, solid insulation transformers include capacitive insulation transformers and non-capacitive insulation transformers. Non-solid insulation transformers include but are not limited to oil-immersed transformers and gas transformers, etc. This embodiment does not make specific restrictions on this.

[0064] Step S20: When the transformer type is a solid insulation transformer, driving the insulation detection device and acquiring detection data output by the insulation detection device.

[0065] In a specific implementation, the insulation detection device is an insulation detection device electrically connected to the switch cabinet, and the insulation detection device corresponds to the category of the solid insulation transformer. Specifically, the solid insulation transformer includes at least a capacitive insulation transformer and a non-capacitive insulation transformer. The insulation detection device includes at least a first insulation detection device corresponding to the capacitive insulation transformer, and a second insulation detection device corresponding to the non-capacitive insulation transformer.

[0066] In the specific implementation, refer to Figure 2 and Figure 3 , Figure 2Schematic diagram of the first insulation detection device in this embodiment, the first insulation detection device at least includes: a frequency multiplier generator P, a voltage regulator T1, a test interface, a first partial discharge meter PD, a test capacitor C1, a single-pole multi-throw switch K and a square wave generator U1, the input end of the frequency multiplier generator is connected to an external three-phase power supply, the first output end and the second output end of the frequency multiplier generator P are respectively connected to the first fixed terminal and the second fixed terminal of the voltage regulator T1, the movable scribe of the voltage regulator T1 is connected to the first port of the test interface, the second fixed terminal is connected to the second port of the test interface, the third port of the test interface is connected to the external power supply, the fourth port of the test interface is connected to the long-pass end of the single-pole multi-throw switch, the first selection end of the single-pole multi-throw switch is grounded, the second selection end of the single-pole throw switch is connected to the first end of the first partial discharge meter, the second end of the first partial discharge meter is grounded, the third selection end of the single-pole multi-throw switch is connected to the second end of the square wave generator, the first end of the square wave generator is connected to the second end of the test capacitor, and the first section of the test capacitor is connected to the external power supply;

[0067] Figure 3 : is a schematic diagram of the second insulation detection device in this embodiment, the second insulation detection device at least includes: a test transformer T2, a coupling capacitor C2, a second partial discharge meter M, a pulse generator U2, a test resistor R and a filter Z, the first end and the second end of the test transformer are connected to an external power supply, the third end of the test transformer is connected to the first end of the filter, the fourth end of the test transformer is respectively connected to the coupling capacitor and the second end of the test resistor, the first end of the test resistor is respectively connected to the second partial discharge meter and the second end of the pulse generator, and the second end of the filter is respectively connected to the second end of the second partial discharge meter, the second end of the pulse generator and the first end of the filter.

[0068] The insulation detection device is mainly used to detect whether there is partial discharge in the transformer and output the discharge data of the transformer, so as to judge whether there is insulation failure or short circuit according to the discharge data of the transformer.

[0069] Further, the driving insulation detection device and obtaining the detection data output by the insulation detection device include:

[0070] When the mutual inductor is a non-capacitive insulation mutual inductor, a first voltage is applied to a frequency multiplication generator in the first insulation detection device, and a second voltage is output, wherein the second voltage is at least twice the first voltage, so as to collect partial discharge data of the mutual inductor through a first partial discharge measuring device, wherein the partial discharge data at least includes: discharge amount, discharge cycle and discharge distribution data;

[0071] When the transformer type is a capacitive insulation transformer, a third voltage is applied to the second insulation detection device, and the input voltage is reduced by a preset difference until it is reduced to a fourth voltage, so as to collect partial discharge data of the transformer through a second partial discharge meter.

[0072] In the specific implementation, the non-capacitive mutual inductor can also be called an electromagnetic mutual inductor. The frequency multiplier generator in the first insulation detection device is mainly used to provide an output voltage higher than the input voltage. Since the working magnetic flux density of the electromagnetic mutual inductor at the rated voltage is generally about 1T, and when the partial discharge pre-voltage is high, the magnetic flux density B value reaches about 2T. In order to avoid damage caused by large excitation current under the industrial frequency voltage, a frequency multiplier power supply is generally used during the partial discharge test, that is, multiple frequency multiplication is used to detect partial discharge.

[0073] In order to improve the identifiability of partial discharge when facing a capacitive insulation transformer, this embodiment can first perform a withstand voltage test on the capacitive insulation transformer, and then reduce the input voltage according to a certain threshold, that is, use a step-by-step voltage input to control the second partial discharge measuring device to collect partial discharge data of the transformer.

[0074] During the above partial discharge test, if it is found that the discharge amount is greater than the discharge amount threshold of the corresponding category of the transformer, it indicates that there is a problem with the insulation state of the transformer.

[0075] Furthermore, after applying the first voltage to the frequency multiplication generator in the first insulation detection device and outputting the second voltage, the method further includes:

[0076] Running the square wave generator to input a plurality of voltages of different magnitudes into the test capacitor;

[0077] collecting the discharge amount of the test capacitor;

[0078] The partial discharge data is corrected according to the collected discharge amount to obtain target partial discharge data.

[0079] It should be understood that in the first insulation detection device, a square wave generator is provided. When the square wave injection capacitance C0≤0.1Cx, the injected discharge amount q0=U0C0, but since the capacitance of the transformer is relatively small, generally 50-60pF, and the minimum value of the square wave injection capacitance C0 is 10pF, then C0>0.1Cx, q0≠C0U0, but it is calculated as q0=C0Cx / (C0+Cx)U0. In order to improve the detection effect of partial discharge, this embodiment pre-inputs voltages of multiple different amplitudes of electricity, collects the discharge amount of the test capacitor, corrects the partial discharge data, and provides more accurate discharge data, thereby improving the insulation detection accuracy.

[0080] Step S30: performing error correction on the detection data to obtain target detection data.

[0081] Error correction of detection data mainly involves eliminating detection data with larger errors. This embodiment may adopt a clustering method to determine the main cluster center of the detection data, thereby eliminating detection data that is not in the cluster center to obtain target detection data.

[0082] Step S40: Perform transformer insulation detection according to the preset discharge range and the target detection data.

[0083] The preset discharge range corresponds to the model and type of different transformers and the range of input voltage or current.

[0084] Further, the over-preset discharge range and the target detection data are used to perform transformer insulation detection, including:

[0085] Determine target detection data of low voltage level according to the type of the transformer;

[0086] Perform at least two sampling inspections on the target detection data of the low voltage level to obtain first sampling inspection data and second sampling inspection data, wherein a proportion of the first sampling inspection data to the target detection data is less than a proportion of the second sampling inspection data to the target detection data;

[0087] Querying a safe discharge interval through a preset discharge restriction list according to the type of the transformer and the voltage data of the transformer;

[0088] When the first sampling data is not within the safe discharge interval, determining that the insulation state of the mutual inductor is abnormal;

[0089] When the first sampling data is within the safe discharge interval and the second sampling data is not within the safe discharge interval, determining that the insulation state of the mutual inductor is pending;

[0090] When both the first sampling data and the second sampling data are within the safe discharge interval, it is determined that the insulation state of the mutual inductor is normal.

[0091] In the specific implementation, affected by the characteristics of partial discharge, the discharge amount is generally small. The partial discharge is identified by the detection data of low voltage level, rather than the detection data of high voltage level, that is, the identification is performed by the minimum discharge amount, which can improve the accuracy of judging the insulation state of the transformer. In this embodiment, the target detection data is extracted and sampled twice, and 20% and 10% are used as examples for explanation.

[0092] If the first random sampling data are all outside the safe discharge interval, it indicates that there is a large amount of discharge data in the target detection data, and the probability of local discharge is high, and it can be directly determined that the insulation state of the transformer is abnormal; if the first random sampling data are all within the safe discharge interval, but the second random sampling data are outside the safe discharge interval, it indicates that there is discharge data in the target detection data, but it cannot be determined whether it is caused by environmental influences, so re-inspection is required to determine that the insulation state of the transformer is pending; if the first random sampling data and the second random sampling data are both within the safe discharge interval, it indicates that there is no discharge data in the target detection data, and the probability of local discharge is low, and it can be directly determined that the insulation state of the transformer is normal.

[0093] This embodiment identifies the type of the transformer in the switch cabinet; when the type of the transformer is a solid insulation transformer, drives the insulation detection device and obtains the detection data output by the insulation detection device, the insulation detection device is an insulation detection device electrically connected to the switch cabinet, and the insulation detection device corresponds to the type of the solid insulation transformer; performs error correction on the detection data to obtain target detection data; performs transformer insulation detection according to a preset discharge range and the target detection data, and connects the insulation detection device corresponding to the transformer type to achieve insulation state detection of transformers of different types of switch cabinets; and performs error correction on the detection data output by the insulation detection device to reduce the impact of the insulation detection device being connected to the power system, thereby improving the efficiency and effect of insulation state detection of the transformer in the switch cabinet, and avoiding the technical problem of low efficiency in insulation state detection of the operating switch cabinet transformer in the prior art.

[0094] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction, and will not be repeated in the following. Figure 4 , after step S40, including:

[0095] Step S50: When the transformer is a non-solid insulation transformer, a modulated optical signal is injected into the transformer, and a reflected optical signal passing through the transformer is collected.

[0096] Step S60: Analyze the modulated light signal and the reflected light signal using a preset light signal analysis model to obtain energy change data between the two light signals.

[0097] Step S70: Determine the current insulation state of the transformer according to the energy change data.

[0098] It should be noted that non-solid insulated transformers can be oil-immersed transformers or insulated gas transformers. However, whether it is an oil-immersed transformer or an insulated gas transformer, when a short circuit or insulation abnormality occurs, the properties of the oil body will change, or gas will leak, resulting in changes in gas concentration and content. Therefore, when facing the insulation status detection of non-solid insulated transformers, optical signals can be used. The reflected light signal obtained after the optical signal passes through the insulating layer of the non-solid insulated transformer is combined with the energy change between the incident modulated light signal and the reflected light signal to identify whether gas leakage or gas leakage occurs.

[0099] The modulated optical signal may be generated by a laser or other device that can generate a monochromatic optical signal. This embodiment does not impose any specific restrictions on this. Specifically, modulating the optical signal refers to applying a sinusoidal modulation current with an angular frequency to the laser, so that the frequency and intensity of the original monochromatic optical signal are deflected to obtain a modulated optical signal.

[0100] In the field of optics, when a modulated optical signal passes through a certain area, it will be affected by the temperature, concentration and other factors in the area, generating transition state energy, thereby changing some physical properties of the optical signal. By detecting the spectral characteristics of the modulated optical signal and the reflected optical signal, the influence of parameters such as the temperature and medium concentration in the area on the optical signal can be effectively monitored, so that the temperature, medium concentration and other parameters in the area can be measured, and then compared with the transformer with normal insulation status, so as to judge the insulation status of the transformer.

[0101] Furthermore, the modulated light signal and the reflected light signal are analyzed by a preset light signal analysis model to obtain energy change data between the two light signals, including:

[0102] The method of analyzing the reflected light signal and the modulated light signal by using a preset temperature change analysis model to obtain a temperature change value between the two light signals and the corresponding thermal signal includes:

[0103] Obtaining a second harmonic peak ratio of the reflected light signal;

[0104] determining a transition energy level difference between the modulated optical signal and the reflected optical signal;

[0105] Query the absorption line intensity corresponding to the reflected light signal at the reference temperature;

[0106] The energy change data between the two light signals is calculated according to the second harmonic peak ratio, the transition energy level difference, the absorption line intensity and a preset constant.

[0107] The second harmonic peak ratio refers to the absorption signal of the light signal absorption line obtained after the reflected light signal passes through the measurement area at the same time along the same path. The peak values ​​of the absorption signal of the light signal absorption line are compared, and the ratio of the peak values ​​of the two absorption line spectra is taken as the second harmonic peak ratio. In order to accurately obtain the intensity of the absorption spectrum line, this embodiment needs to calculate the second-order coefficient of the Fourier series of the transmitted light intensity of the reflected light signal, and then calculate the absorption spectrum line intensity corresponding to the reflected light signal.

[0108] In this embodiment, when the transformer type is a non-solid insulation transformer, a modulated light signal is emitted into the transformer, and a reflected light signal passing through the transformer is collected; the modulated light signal and the reflected light signal are analyzed by a preset light signal analysis model to obtain energy change data between the two light signals; the current insulation state of the transformer is determined according to the energy change data, and the property change of the area that plays an insulating role in the non-solid transformer is determined according to the energy change of the light signal, thereby identifying the insulation state of the transformer.

[0109] This application also provides a switch cabinet transformer insulation detection device, please refer to Figure 5 , the switch cabinet transformer insulation detection device comprises:

[0110] The identification module 10 is used to identify the type of the transformer in the switch cabinet.

[0111] The driving module 20 is used to drive the insulation detection device and obtain the detection data output by the insulation detection device when the transformer type is a solid insulation transformer. The insulation detection device is an insulation detection device electrically connected to the switch cabinet, and the insulation detection device corresponds to the type of the solid insulation transformer.

[0112] The correction module 30 is used to perform error correction on the detection data to obtain target detection data.

[0113] The detection module 40 is used to perform transformer insulation detection according to a preset discharge range rule and the target detection data.

[0114] In one embodiment, the driving module 20 is also used for the solid insulation transformer to at least include a capacitive insulation transformer and a non-capacitive insulation transformer. Accordingly, the insulation detection device at least includes a first insulation detection device corresponding to the capacitive insulation transformer and a second insulation detection device corresponding to the non-capacitive insulation transformer; wherein the first insulation detection device at least includes: a frequency multiplier generator, a voltage regulator, a test interface, a first partial discharge meter, a test capacitor, a single-pole multi-throw switch and a square wave generator, the input end of the frequency multiplier generator is connected to an external three-phase power supply, the first output end and the second output end of the frequency multiplier generator are respectively connected to the first fixed terminal and the second fixed terminal of the voltage regulator, the movable scribe of the voltage regulator is connected to the first port of the test interface, the second fixed terminal is connected to the second port of the test interface, the third port of the test interface is connected to an external power supply, the fourth port of the test interface is connected to the long-pass end of the single-pole multi-throw switch, and the first selection end of the single-pole multi-throw switch is connected to the first fixed terminal of the single-pole multi-throw switch. The second insulation detection device comprises: a test transformer, a coupling capacitor, a second partial discharge meter, a pulse generator, a test resistor and a filter, the first and second ends of the test transformer are connected to the external power supply, the third end of the test transformer is connected to the first end of the filter, the fourth end of the test transformer is respectively connected to the second ends of the coupling capacitor and the test resistor, the first end of the test resistor is respectively connected to the second ends of the second partial discharge meter and the pulse generator, and the second end of the filter is respectively connected to the second end of the second partial discharge meter, the second end of the pulse generator and the first end of the filter.

[0115] In one embodiment, the driving module 20 is also used to apply a first voltage to the frequency multiplier generator in the first insulation detection device and output a second voltage when the transformer type is a capacitive insulation transformer, and the second voltage is at least twice the first voltage, so as to collect partial discharge data of the transformer through a first partial discharge meter, and the partial discharge data at least includes: discharge amount, discharge cycle and discharge distribution data; when the transformer type is a non-capacitive insulation transformer, apply a third voltage to the second insulation detection device, and reduce the input voltage according to a preset difference until it is reduced to a fourth voltage, so as to collect partial discharge data of the transformer through a second partial discharge meter.

[0116] In one embodiment, the driving module 20 is further used to operate the square wave generator to input multiple voltages of different amplitudes of electricity into the test capacitor; collect the discharge amount of the test capacitor; and correct the partial discharge data according to the collected discharge amount to obtain target partial discharge data.

[0117] In one embodiment, the detection module 40 is also used to determine the target detection data of the low voltage level according to the type of the transformer; perform at least two random inspections on the target detection data of the low voltage level to obtain first random inspection data and second random inspection data, and the proportion of the first random inspection data to the target detection data is greater than the proportion of the second random inspection data to the target detection data; query the safe discharge interval through a preset discharge restriction list according to the type of the transformer and the voltage data of the transformer; when the first random inspection data is not within the safe discharge interval, determine that the insulation state of the transformer is abnormal; when the first random inspection data is within the safe discharge interval and the second random inspection data is not within the safe discharge interval, determine that the insulation state of the transformer is pending; when the first random inspection data and the second random inspection data are both within the safe discharge interval, determine that the insulation state of the transformer is normal.

[0118] In one embodiment, the detection module 40 is also used to, when the transformer type is a non-solid insulation transformer, emit a modulated light signal into the transformer and collect a reflected light signal passing through the transformer; analyze the modulated light signal and the reflected light signal through a preset light signal analysis model to obtain energy change data between the two light signals; and determine the current insulation state of the transformer based on the energy change data.

[0119] In one embodiment, the detection module 40 is further used to obtain the second harmonic peak ratio of the reflected light signal; determine the transition energy level difference between the modulated light signal and the reflected light signal; query the absorption line intensity corresponding to the reflected light signal at a reference temperature; and calculate the energy change data between the two light signals based on the second harmonic peak ratio, the transition energy level difference, the absorption line intensity and a preset constant.

[0120] This embodiment identifies the type of the transformer in the switch cabinet; when the type of the transformer is a solid insulation transformer, drives the insulation detection device and obtains the detection data output by the insulation detection device, the insulation detection device is an insulation detection device electrically connected to the switch cabinet, and the insulation detection device corresponds to the type of the solid insulation transformer; performs error correction on the detection data to obtain target detection data; performs transformer insulation detection according to a preset discharge range and the target detection data, and connects the insulation detection device corresponding to the transformer type to achieve insulation state detection of transformers of different types of switch cabinets; and performs error correction on the detection data output by the insulation detection device to reduce the impact of the insulation detection device being connected to the power system, thereby improving the efficiency and effect of insulation state detection of the transformer in the switch cabinet, and avoiding the technical problem of low efficiency in insulation state detection of the operating switch cabinet transformer in the prior art.

[0121] The present application provides a switch cabinet transformer insulation detection device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the switch cabinet transformer insulation detection method in the above-mentioned embodiment one.

[0122] Reference below Figure 6 , which shows a schematic diagram of the structure of a switch cabinet transformer insulation detection device suitable for implementing the embodiment of the present application. The switch cabinet transformer insulation detection device in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 6 The switch cabinet transformer insulation detection device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0123] like Figure 6As shown, the switch cabinet transformer insulation detection device may include a processing device 1001 (such as a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. Various programs and data required for the operation of the switch cabinet transformer insulation detection device are also stored in the RAM 1004. The processing device 1001, the ROM 1002, and the RAM 1004 are connected to each other via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the switch cabinet transformer insulation detection device to communicate with other devices wirelessly or by wire to exchange data. Although the switch cabinet transformer insulation detection device with various systems is shown in the figure, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have alternatively.

[0124] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0125] The switch cabinet transformer insulation detection device provided by the present application adopts the switch cabinet transformer insulation detection method in the above embodiment, which can solve the technical problem of switch cabinet transformer insulation detection. Compared with the prior art, the beneficial effects of the switch cabinet transformer insulation detection device provided by the present application are the same as the beneficial effects of the switch cabinet transformer insulation detection method provided by the above embodiment, and the other technical features in the switch cabinet transformer insulation detection device are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0126] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0127] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0128] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the switch cabinet transformer insulation detection method in the above-mentioned embodiment.

[0129] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0130] The computer-readable storage medium may be included in the switch cabinet transformer insulation detection device; or may exist independently without being assembled into the switch cabinet transformer insulation detection device.

[0131] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the switch cabinet transformer insulation detection device, the switch cabinet transformer insulation detection device performs: switch cabinet transformer insulation detection.

[0132] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0133] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0134] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0135] The readable storage medium provided in the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned switch cabinet transformer insulation detection method, and can solve the technical problem of switch cabinet transformer insulation detection. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in the present application are the same as the beneficial effects of the switch cabinet transformer insulation detection method provided in the above-mentioned embodiment, and will not be repeated here.

[0136] The present application also provides a computer program product, including a computer program, which implements the steps of the switch cabinet transformer insulation detection method as described above when the computer program is executed by a processor.

[0137] The computer program product provided in this application can solve the technical problem of transformer insulation detection in switch cabinets. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as the beneficial effects of the transformer insulation detection method in the switch cabinet provided in the above embodiment, which will not be repeated here.

[0138] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A switch cabinet transformer insulation detection method, characterized in that: The switch cabinet transformer insulation detection method comprises: Identify the type of instrument transformer in the switchgear; When the transformer type is a solid insulation transformer, driving an insulation detection device and acquiring detection data output by the insulation detection device, wherein the insulation detection device is an insulation detection device electrically connected to the switch cabinet, and the insulation detection device corresponds to the type of the solid insulation transformer; Performing error correction on the detection data to obtain target detection data; The transformer insulation detection is performed by using the preset discharge range and the target detection data.

2. The method according to claim 1, characterized in that The solid insulation transformer at least includes a capacitive insulation transformer and a non-capacitive insulation transformer. Accordingly, the insulation detection device at least includes a first insulation detection device corresponding to the capacitive insulation transformer and a second insulation detection device corresponding to the non-capacitive insulation transformer. Wherein, the first insulation detection device at least comprises: a frequency multiplier generator, a voltage regulator, a test interface, a first partial discharge meter, a test capacitor, a single-pole multi-throw switch and a square wave generator, the input end of the frequency multiplier generator is connected to an external three-phase power supply, the first output end and the second output end of the frequency multiplier generator are respectively connected to the first fixed terminal and the second fixed terminal of the voltage regulator, the movable scribe of the voltage regulator is connected to the first port of the test interface, the second fixed terminal is connected to the second port of the test interface, the third port of the test interface is connected to an external power supply, the fourth port of the test interface is connected to the long-pass end of the single-pole multi-throw switch, the first selection end of the single-pole multi-throw switch is grounded, the second selection end of the single-pole throw switch is connected to the first end of the first partial discharge meter, the second end of the first partial discharge meter is grounded, the third selection end of the single-pole multi-throw switch is connected to the second end of the square wave generator, the first end of the square wave generator is connected to the second end of the test capacitor, and the first section of the test capacitor is connected to the external power supply; The second insulation detection device at least includes: a test transformer, a coupling capacitor, a second partial discharge meter, a pulse generator, a test resistor and a filter. The first end and the second end of the test transformer are connected to an external power supply, the third end of the test transformer is connected to the first end of the filter, the fourth end of the test transformer is respectively connected to the coupling capacitor and the second end of the test resistor, the first end of the test resistor is respectively connected to the second partial discharge meter and the second end of the pulse generator, and the second end of the filter is respectively connected to the second end of the second partial discharge meter, the second end of the pulse generator and the first end of the filter.

3. The method according to claim 2, characterized in that The driving insulation detection device and obtaining the detection data output by the insulation detection device include: When the mutual inductor is a non-capacitive insulation mutual inductor, a first voltage is applied to a frequency multiplication generator in the first insulation detection device, and a second voltage is output, wherein the second voltage is at least twice the first voltage, so as to collect partial discharge data of the mutual inductor through a first partial discharge measuring device, wherein the partial discharge data at least includes: discharge amount, discharge cycle and discharge distribution data; When the transformer type is a capacitive insulation transformer, a third voltage is applied to the second insulation detection device, and the input voltage is reduced by a preset difference until it is reduced to a fourth voltage, so as to collect partial discharge data of the transformer through a second partial discharge meter.

4. The method according to claim 3, characterized in that After the first voltage is applied to the frequency multiplication generator in the first insulation detection device and the second voltage is output, the method further includes: Running the square wave generator to input a plurality of voltages of different magnitudes into the test capacitor; collecting the discharge amount of the test capacitor; The partial discharge data is corrected according to the collected discharge amount to obtain target partial discharge data.

5. The method according to claim 1, characterized in that The transformer insulation detection is performed by using the preset discharge range and the target detection data, including: Determine target detection data of low voltage level according to the type of the transformer; Perform at least two sampling inspections on the target detection data of the low voltage level to obtain first sampling inspection data and second sampling inspection data, wherein a proportion of the first sampling inspection data to the target detection data is less than a proportion of the second sampling inspection data to the target detection data; Querying a safe discharge interval through a preset discharge restriction list according to the type of the transformer and the voltage data of the transformer; When the first sampling data is not within the safe discharge interval, determining that the insulation state of the mutual inductor is abnormal; When the first sampling data is within the safe discharge interval and the second sampling data is not within the safe discharge interval, determining that the insulation state of the mutual inductor is pending; When both the first sampling data and the second sampling data are within the safe discharge interval, it is determined that the insulation state of the mutual inductor is normal.

6. The method according to claim 1, characterized in that After identifying the type of the transformer in the switch cabinet, the method further includes: When the transformer is a non-solid insulation transformer, injecting a modulated optical signal into the transformer and collecting a reflected optical signal passing through the transformer; The modulated light signal and the reflected light signal are analyzed by a preset light signal analysis model to obtain energy change data between the two light signals; The current insulation state of the transformer is determined according to the energy change data.

7. The method according to claim 6, characterized in that The step of analyzing the modulated light signal and the reflected light signal by a preset light signal analysis model to obtain energy change data between the two light signals includes: The method of analyzing the reflected light signal and the modulated light signal by using a preset temperature change analysis model to obtain a temperature change value between the two light signals and the corresponding thermal signal includes: Obtaining a second harmonic peak ratio of the reflected light signal; determining a transition energy level difference between the modulated optical signal and the reflected optical signal; Query the absorption line intensity corresponding to the reflected light signal at the reference temperature; The energy change data between the two light signals is calculated according to the second harmonic peak ratio, the transition energy level difference, the absorption line intensity and a preset constant.

8. A switch cabinet transformer insulation detection device, characterized in that: The switch cabinet transformer insulation detection device comprises: Identification module, used to identify the type of transformer in the switch cabinet; A driving module, used for driving an insulation detection device and obtaining detection data output by the insulation detection device when the transformer type is a solid insulation transformer, wherein the insulation detection device is an insulation detection device electrically connected to the switch cabinet, and the insulation detection device corresponds to the type of the solid insulation transformer; A correction module, used for performing error correction on the detection data to obtain target detection data; The detection module is used to perform transformer insulation detection based on a preset discharge range and the target detection data.

9. A switch cabinet transformer insulation detection device, characterized in that: The switch cabinet transformer insulation detection device includes: a memory, a processor, and a switch cabinet transformer insulation detection program stored in the memory and executable on the processor, wherein the switch cabinet transformer insulation detection program is configured to implement the steps of the switch cabinet transformer insulation detection method as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium stores a switch cabinet transformer insulation detection program, and when the switch cabinet transformer insulation detection program is executed by the processor, the steps of the switch cabinet transformer insulation detection method according to any one of claims 1 to 7 are implemented.

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