CN107728027B - Insulation defect detection device and method for transformer bushing - Google Patents
Insulation defect detection device and method for transformer bushing Download PDFInfo
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- CN107728027B CN107728027B CN201711043682.4A CN201711043682A CN107728027B CN 107728027 B CN107728027 B CN 107728027B CN 201711043682 A CN201711043682 A CN 201711043682A CN 107728027 B CN107728027 B CN 107728027B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1218—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing using optical methods; using charged particle, e.g. electron, beams or X-rays
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Abstract
The embodiment of the invention provides an insulation defect detection device and method for a transformer bushing, wherein the insulation defect detection device comprises the following components: the quantum sensor is arranged on the outer surface of the transformer bushing; an electron spin resonance spectrometer comprising a laser generator and a microwave transceiver for: controlling a laser generator to emit laser light to the quantum sensor so as to excite the quantum sensor; controlling the microwave transceiver to transmit microwave signals to the quantum sensor and receive the microwave signals fed back by the quantum sensor; obtaining the distribution characteristics of the electric field and/or magnetic field intensity of the transformer bushing according to the fed-back microwave signals; and the processor is used for judging whether the transformer bushing has defects according to the distribution characteristics and determining the defect type of the defects under the condition that the transformer bushing is judged to have the defects. The insulation defect detection device can detect the electric field and magnetic field distribution characteristics of the transformer bushing and judge the defect type of the transformer bushing.
Description
Technical Field
The invention relates to a transformer bushing, in particular to an insulation defect detection device and method for the transformer bushing.
Background
The electric equipment is an important component element in the power system, and the normal and stable operation of the electric equipment is an important basis for the safe and reliable operation of the power system. However, flaws in insulation problems are caused by raw materials, design, manufacturing process, transportation, installation, etc. If the defects of local overheating, even partial discharge and the like can not be found in time, the defects of local overheating, even local discharge and the like can be generated in the running process, even the equipment can be caused to fire and explode, and the power grid and personal safety are seriously influenced. At present, state detection means under the running state of electrical equipment such as a sleeve, a transformer and the like mainly comprise infrared temperature measurement and relative dielectric loss factor measurement. Infrared temperature measurement can sensitively find current-induced heat defects and overall voltage-induced heat defects, but serious defects in a small-scale concentration are difficult to find, and the defects can develop rapidly and cause malignant faults; the relative dielectric loss factor measurement needs to modify the equipment end screen, increases the running risk of the equipment, and is difficult to find the serious defects of the small-range concentration type by the measurement technology.
Disclosure of Invention
The invention aims to provide an insulation defect detection device and method for a transformer bushing, wherein the insulation defect detection device can detect electric field and magnetic field distribution characteristics of the transformer bushing and judge the defect type of the transformer bushing.
In order to achieve the above object, embodiments of the present invention provide an insulation defect detection apparatus for a transformer bushing, which may include:
the quantum sensor is arranged at the end screen of the transformer bushing;
an electron spin resonance spectrometer, which may include a laser generator and a microwave transceiver for:
controlling a laser generator to emit laser light to the quantum sensor so as to excite the quantum sensor;
controlling a microwave transceiver to transmit microwave signals to a vector sub-sensor and receiving the microwave signals fed back by the quantum sensor;
generating the distribution characteristics of the electric field and/or the magnetic field intensity of the transformer bushing according to the fed-back microwave signals;
and the processor is used for judging whether the transformer bushing has defects according to the distribution characteristics and determining the defect type of the defects when judging that the transformer bushing has the defects.
Alternatively, the quantum sensor may comprise diamond.
Alternatively, the laser generator may emit laser light to the sub-sensor through an optical fiber, and the microwave transceiver may emit and receive microwaves through a cable.
Optionally, the insulation defect detection device may further include an alarm and a display. The processor may also be used to activate the alarm in case it is determined that the transformer bushing belongs to a serious defect.
Optionally, the processor may be further configured to: comparing the detected distribution characteristics of the electric field and/or magnetic field intensity with a pre-stored distribution model of the electric field and/or magnetic field intensity in space, and judging whether the transformer bushing has a defect or not and the defect type of the defect under the condition that the defect exists according to the comparison result.
Alternatively, the distribution model may be a distribution model modeled using a neural network.
Alternatively, the neural network may be a radial basis function (Radial Basis Function, RBF) neural network.
Another aspect of the present invention also provides a method for detecting insulation defects of a transformer bushing, which may include:
the laser generator emits laser to the quantum sensor arranged on the surface of the transformer bushing so as to excite the quantum sensor;
the microwave transceiver transmits microwave signals to the quantum sensor and receives the microwave signals fed back by the quantum sensor;
the electron spin resonance spectrometer obtains the distribution characteristics of the electric field and/or magnetic field intensity of the transformer bushing in space according to the fed-back microwave signals;
the processor judges whether the transformer bushing has defects according to the distribution characteristics, and determines the defect type of the defects under the condition that the transformer bushing has the defects.
Optionally, the determining, by the processor, whether the transformer bushing is defective according to the distribution characteristics and determining a defect type of the defect if the transformer bushing is determined to be defective may include:
comparing the distribution characteristics with a pre-stored distribution model of electric field and/or magnetic field intensity in space;
judging whether the transformer bushing has a defect or not according to the comparison result, and judging the defect type of the defect under the condition that the defect exists.
Alternatively, the quantum sensor may comprise diamond.
According to the technical scheme, the insulation defect detection device and the insulation defect detection method can detect the electric field and/or magnetic field distribution characteristics of the transformer bushing, and judge whether the transformer bushing has defects or not and the defect type under the condition of the defects by comparing the distribution characteristics of the electric field and/or magnetic field intensity established by a large number of sample study with the detected distribution characteristics of the electric field and/or magnetic field intensity.
Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings are included to provide a further understanding of embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain, without limitation, the embodiments of the invention. In the drawings:
FIG. 1 is a flow chart of a method for detecting insulation defects of a transformer bushing according to an embodiment of the invention;
FIG. 2 is a schematic diagram of an insulation defect detection apparatus for transformer bushings according to an embodiment of the present invention;
FIG. 3 is a block diagram of an insulation defect detection apparatus for transformer bushings according to an embodiment of the present invention;
fig. 4 is a block diagram of an insulation defect detecting apparatus for a transformer bushing according to an embodiment of the present invention; and
fig. 5 is a block diagram of an insulation defect detecting apparatus for transformer bushings according to an embodiment of the present invention.
Description of the reference numerals
10. Transformer bushing 20 and quantum sensor
30. Electron spin resonance spectrometer 31 and laser generator
32. Microwave transceiver 40, processor
50. Alarm 60 and display
Detailed Description
The following describes specific embodiments of the present invention in detail with reference to the drawings. It should be understood that the detailed description and specific examples, while indicating and illustrating the invention, are not intended to limit the invention.
Fig. 1 is a flowchart of a method for detecting insulation defects of a transformer bushing according to an embodiment of the present invention. In fig. 1, the method may include:
in step S10, a quantum sensor is provided. In this embodiment, a quantum sensor may be provided at the end screen of the transformer bushing as shown in fig. 2. The number of the quantum sensors can be determined according to the accuracy of the electric field and/or magnetic field intensity actually required to be detected.
In step S11, the laser generator emits laser light to the quantum sensor provided at the outer surface of the transformer bushing to excite the quantum sensor. In this embodiment, a laser generator in an electron spin resonance spectrometer may be used to emit laser light to the quantum sensor to excite the quantum sensor.
In step S12, the microwave transceiver transmits a microwave signal to the quantum sensor and receives the microwave signal fed back by the quantum sensor. In this embodiment, a microwave transceiver in an electron spin resonance spectrometer may be employed, for example, to transmit microwave signals to the quantum sensor and to receive microwave signals fed back by the quantum sensor.
In step S13, the electron spin resonance spectrometer obtains the distribution characteristics of the electric field and/or magnetic field intensity of the transformer bushing device in space according to the fed-back microwave signal; in this embodiment, the electric field and/or magnetic field intensity at the location (the setting position of the quantum sensor) can be determined by using an electron spin resonance spectrometer through the microwave frequency of the fed-back signal, and the distribution characteristics of the electric field and/or magnetic field intensity of the transformer bushing in space can be determined by combining the setting position of the quantum sensor.
In step S14, the processor determines whether the transformer bushing has a defect according to the distribution characteristics and determines a defect type of the defect if the transformer bushing has the defect. In this embodiment, for example, the distribution characteristics of the detected electric field and/or magnetic field strength may be compared with a preset distribution model of the electric field and/or magnetic field strength in space, so as to determine whether the transformer bushing has a defect under the distribution characteristics of the electric field and/or magnetic field strength. In this embodiment, the spatially distributed model of the preset electric and/or magnetic field strength may be established by learning the distribution characteristics of the electric and/or magnetic field strength of a large number of transformer bushing samples. Further, it is also possible to determine the specific defect type of the transformer bushing based on a spatially distributed model of the electric and/or magnetic field strength established by a large number of sample studies. This facilitates the staff to make effective measures for the transformer bushing. In addition, a part of the distribution model of the electric field and/or magnetic field intensity established through a large number of sample learning can be selected as the early warning defect. When the transformer bushing is determined to have the early warning defect, the transformer bushing is likely to be problematic in a short time, so that workers can conveniently and timely make early warning, and accidents are avoided. Furthermore, in order to improve the operation efficiency, the above-described distribution model of the electric field and/or the magnetic field intensity established by the large number of sample learning may be, for example, a distribution model modeled using a neural network, and further, the neural network may be an RBF (Radial Basis Function ) neural network.
Fig. 3 is a block diagram of an insulation defect detecting apparatus for transformer bushings according to an embodiment of the present invention. In fig. 3, the insulation defect detecting apparatus may include:
the quantum sensor 20 may be disposed on an outer surface of the transformer bushing 10. In one example, the quantum sensor 20 may be disposed at the end screen of the transformer bushing 10 as shown in fig. 2. The number of quantum sensors 20 may be, for example, 6, but the number at the time of actual detection may be determined according to the accuracy of the electric field and/or magnetic field strength to be detected. In this embodiment of the invention, the quantum sensor 20 may be comprised of diamond.
An electron spin resonance spectrometer 30, the electron spin resonance spectrometer 30 may include a laser generator 31 and a microwave transceiver 32. The laser generator 31 excites the quantum sensor 20 by emitting laser light to the quantum sensor 20. Preferably, the laser generator 31 may emit laser light to the quantum sensor 20 through an optical fiber, and in this way, reflection and refraction of the laser light due to dust or the like in the environment may be prevented, thereby improving the illumination efficiency of the laser light. The microwave transceiver 32 transmits microwave signals to the quantum sensor 20 while receiving microwave signals fed back by the quantum sensor 20. Preferably, the microwave signal may be transmitted and received through the cable vector sub-sensor 20, in such a way that the influence of numerous external interference signals can be avoided, thereby improving the accuracy of the insulation defect detection device.
The electron spin resonance spectrometer 30 measures the electric field and/or magnetic field intensity at the location (where the quantum sensor 20 is located) by measuring the frequency of the received feedback microwave signal, and combines the location of the quantum sensor 20 to obtain the distribution characteristics of the electric field and/or magnetic field intensity of the transformer bushing 10.
The processor 40 is coupled to the electron spin resonance spectrometer 30 for receiving the distribution characteristics. Whether the transformer bushing 10 has defects is determined based on the distribution characteristics of the electric field and/or magnetic field strength of the transformer bushing 10. In this embodiment, the processor 40 may preset a distribution model of electric field and/or magnetic field intensity of the transformer bushing 10 with various defects, compare the detected distribution characteristics of electric field and/or magnetic field intensity with the preset distribution model of electric field and/or magnetic field intensity, determine whether the transformer bushing 10 has defects according to the comparison result, and further determine the defect type of the transformer bushing 10 if the defects are determined to have defects.
The processor 40 may be a general purpose processor, a special purpose processor, a conventional processor, a Digital Signal Processor (DSP), a plurality of microprocessors, one or more microprocessors in association with a DSP core, a controller, a microcontroller, application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) circuits, any other type of Integrated Circuit (IC), a state machine, or the like. In this embodiment, the processor 40 may optionally employ a quantum analysis detection system. Although the foregoing lists several examples of processors, these examples of processors are not limiting on the technical solution of the present invention, and those skilled in the art will understand that other processors are also applicable.
Upon detection, a laser generator 31 in the electron spin resonance spectrometer 30 emits laser light to the quantum sensor 20. The quantum sensors 20 are arranged at the end screen of the transformer bushing 10, the number of the quantum sensors 20 may be, for example, 4. Those skilled in the art will also appreciate that the number of quantum sensors 20 may be other values as desired for practical measurement accuracy. The quantum sensor 20 (in this embodiment, the quantum sensor 20 may include diamond.) is polarized by free electrons in a nitrogen-vacancy (NV) color center structure under irradiation of laser light. At this time, the microwave transceiver 32 transmits a microwave signal to the quantum sensor 20. The quantum sensor 20 induces electron spin resonance under the influence of the electric and/or magnetic field of the transformer bushing 10 and the microwave signal. At this time, the quantum sensor 20 reflects a feedback microwave signal having the same frequency as the self electron spin resonance. The microwave transceiver 32 receives the fed-back microwave signal and transmits the fed-back microwave signal to the electron spin resonance spectrometer 30. The electron spin resonance spectrometer 50 calculates the electric and/or magnetic field strength of the transformer bushing 10 by detecting the frequency of the fed-back microwave signal. The processor 40 receives the distribution characteristics of the electric field and/or magnetic field intensity from the electron spin resonance spectrometer 50 and determines whether the transformer bushing 10 is defective or not based on the detected distribution characteristics of the electric field and/or magnetic field intensity and determines the type of defect if the transformer bushing 10 is determined to be defective.
The quantum precision measurement technique on which the quantum sensor 20 is based on manipulation of electrons, and is very sensitive to physical characteristics reflected by the internal electron polarization of the measured object, compared to the measurement technique of the prior art. Thus, the quantum sensor 20 may measure up to 200mV/m (millivolts per meter) for an electric field and up to 10 for a magnetic field -13 T/m (tesla per meter) to obtain a spatially fine distribution model of the electric and/or magnetic field of the device under test while in operation.
Fig. 4 is a block diagram of an insulation defect detection apparatus for a transformer bushing 10 according to an embodiment of the present invention. The insulation defect detecting device for the transformer bushing 10 shown in fig. 3 is different in that the insulation defect detecting device may further include: an alarm 50, the alarm 50 being coupled to the processor 40 and being operable to be activated to alert personnel. The processor 40 may also be used to activate the alarm 50 in case it is determined that the transformer bushing 10 belongs to a serious defect. For example, when the processor 40 determines that the transformer bushing 10 has a defect, it further determines the defect type of the transformer bushing 10, and determines whether the defect type belongs to a serious defect. In case that the defect type is judged to be a serious defect, the alarm 50 is activated to inform the worker of making a corresponding measure, thereby avoiding an accident. The alarm 50 may be an LED lamp, a buzzer, a voice device, etc., and those skilled in the art will recognize that other alarms are suitable.
Fig. 5 is an insulation defect detection apparatus for a transformer bushing 10 according to an embodiment of the present invention. The insulation defect detecting device for the transformer bushing 10 shown in fig. 4 is different in that the insulation defect detecting device may further include: a display 60, the display 60 being connectable to the processor 40 and being operable to display at least a type of defect of the transformer bushing 10. For example, when the processor 40 detects that the transformer bushing 10 is defective, the type of defect of the transformer bushing 10 is further detected. At this time, the processor 40 prompts the worker for the type of the defect through the display 60 to allow the worker to take a measure in advance. When the processor 40 determines that the defect type belongs to a serious defect, the processor 40 can prompt a worker to take measures in time through the display 60 on one hand; on the other hand, the worker may be prompted by the alarm 50. In this way, accidents caused by negligence of staff are avoided through the two alarms. The display 60 may be an LED, OLED display, or the like, and those skilled in the art will recognize that other displays may be suitable.
In one embodiment of the present invention, based on the insulation defect detection device for the transformer bushing 10 as shown in fig. 5, the processor 40 may be further configured to: comparing the detected distribution characteristics of the electric field and/or the magnetic field intensity with a pre-stored distribution model of the electric field and/or the magnetic field intensity in space, and judging whether the transformer bushing 10 has defects under the distribution characteristics of the electric field and/or the magnetic field intensity according to the comparison result. When the defect is detected, the distribution characteristics of the detected electric field and/or magnetic field intensity are further compared with a pre-stored distribution model of the electric field and/or magnetic field in space, so that the defect type of the defect is identified.
In one embodiment of the present invention, the distribution model may be modeled using a neural network, further, the neural network may be an RBF neural network, based on the insulation defect detection apparatus for the transformer bushing 10 as shown in fig. 5. Methods of modeling a distribution model using neural networks may be known to those skilled in the art, the details of which are not set forth herein.
The insulation defect detecting device for the transformer bushing 10 shown in fig. 1 is performed with the insulation defect detecting device for the transformer bushing 10 shown in fig. 5. During operation, the quantum sensor 10 may be disposed at the end of the transformer bushing 10. The number of quantum sensors 20 may be, for example, 6. It will also be appreciated by those skilled in the art that the number of quantum sensors 20 may be other values, and that the quantum sensors 20 (in this embodiment, the quantum sensors 20 may include diamond.) may be polarized by electrons in the nitrogen-vacancy (NV) color center structure upon irradiation with laser light, as desired for practical measurement accuracy. The electron spin resonance spectrometer 30 controls the microwave transceiver 32 to emit microwave signals to the quantum sensor 20. The quantum sensor 20 causes electron spin resonance under the influence of the electric and/or magnetic field of the transformer bushing 10 and the microwave signal and reflects the microwave signal at the same frequency as the resonance frequency. The microwave transceiver 32 receives the fed-back microwave signal and transmits the fed-back microwave signal to the electron spin resonance spectrometer 50. The electron spin resonance spectrometer 50 calculates the electric and/or magnetic field strength of the transformer bushing 10 by detecting the frequency of the fed-back microwave signal and determines the distribution characteristics of the electric and/or magnetic field strength by the set position of each quantum sensor 20. The processor 40 establishes a spatially distributed model of the electric and/or magnetic field strength of the transformer bushing 10 in a predetermined plurality of defect case states through the RBF neural network. The processor 40 compares the spatial distribution characteristics of the received electric field and/or magnetic field intensity of the actual transformer bushing 10 with a preset spatial distribution model of the electric field and/or magnetic field intensity, and determines whether the transformer bushing 10 has defects according to the comparison result. If the transformer bushing 10 is defective, the processor 40 notifies the operator by activating an alarm 50. In addition, the processor 40 may further compare the detected spatial distribution characteristics of the electric field and/or the magnetic field strength of the transformer bushing 10 with a preset spatial distribution model of the electric field and/or the magnetic field strength, so as to determine the type of the defect. The processor 40 displays the presence of a defect in the transformer bushing 10 and displays the corresponding defect type via the display 60. The operator may also pre-select one or more of the predetermined spatial distribution models of the electric and/or magnetic field strengths of the plurality of defects as a serious defect, and if the defect belongs to the serious defect, the processor 40 prompts the operator that the transformer bushing 10 has the serious defect through the display 60. At the same time, the processor 40 activates the alarm 80 to notify the worker, thereby avoiding accidents due to the negligence of the worker.
Furthermore, the staff may set pre-warning defects in a spatial distribution model of the electric field and/or magnetic field strength of a preset plurality of defects according to the characteristics of occurrence of the serious defects, wherein the occurrence of the defects marks that the serious defects are likely to occur in the transformer bushing 10. Therefore, when the processor 40 compares the defect of the transformer bushing 10 to be a warning defect, the display 60 can also be used for giving a warning to the staff, so that the accident is avoided in advance.
Through the technical scheme, the insulation defect detection device and method for the transformer bushing 10 provided by the invention have the following advantages:
1. the transformer bushing 10 is measured using a quantum sensor based on quantum precision measurement technology. The distribution model of the electric field and/or magnetic field intensity in space, which is established through a large number of sample learning, is compared with the distribution characteristics of the detected electric field and/or magnetic field intensity in space of the transformer bushing 10, so that the problem that the whole state of the transformer bushing 10 can only be measured in the prior art is solved, and the detection of local small-range defects of the transformer bushing 10 is realized.
2. Through setting up early warning defect and serious defect, when detecting early warning defect, can instruct the staff to make preparation in advance, avoided the emergence of accident. When serious defects are detected, workers can be timely prompted, and further deterioration of accidents is avoided.
3. The specific position of the defect of the transformer bushing 10 can be positioned by detecting the partial small range of the transformer bushing 10, so that the transformer bushing 10 is convenient to maintain.
The optional embodiments of the present invention have been described in detail above with reference to the accompanying drawings, but the embodiments of the present invention are not limited to the specific details of the foregoing embodiments, and various simple modifications may be made to the technical solutions of the embodiments of the present invention within the scope of the technical concept of the embodiments of the present invention, and all the simple modifications belong to the protection scope of the embodiments of the present invention.
In addition, the specific features described in the above embodiments may be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the various possible combinations of embodiments of the invention are not described in detail.
In addition, any combination of the various embodiments of the present invention may be made between the various embodiments, and should also be regarded as disclosed in the embodiments of the present invention as long as it does not deviate from the idea of the embodiments of the present invention.
Claims (3)
1. A method for detecting insulation defects of a transformer bushing, the insulation defect detection apparatus comprising:
the quantum sensor is arranged at the end screen of the transformer bushing;
an electron spin resonance spectrometer comprising a laser generator and a microwave transceiver for:
controlling the laser generator to emit laser light to the quantum sensor to excite the quantum sensor;
controlling the microwave transceiver to transmit microwave signals to the quantum sensor and receive the microwave signals fed back by the quantum sensor;
obtaining the distribution characteristics of the electric field and/or magnetic field intensity of the transformer bushing according to the fed-back microwave signals;
and a processor for judging whether the transformer bushing has a defect according to the distribution characteristics and determining a defect type of the defect if the transformer bushing has the defect; characterized in that the method comprises:
a laser generator emits laser to a quantum sensor arranged on the surface of the transformer bushing so as to excite the quantum sensor;
the microwave transceiver transmits microwave signals to the quantum sensor and receives the microwave signals fed back by the quantum sensor;
the electron spin resonance spectrometer obtains the distribution characteristics of the electric field and/or magnetic field intensity of the transformer bushing in space according to the fed-back microwave signals;
and the processor judges whether the transformer bushing has a defect according to the distribution characteristics and determines the defect type of the defect under the condition that the transformer bushing has the defect.
2. The method of claim 1, wherein the processor determining whether the transformer bushing is defective based on the distribution characteristics and determining a defect type of the defect if the transformer bushing is determined to be defective comprises:
comparing the distribution characteristics with a pre-stored distribution model of electric field and/or magnetic field intensity in space;
judging whether the transformer bushing has defects or not and judging the defect type of the defects under the condition that the defects exist according to the comparison result.
3. The method of claim 1, wherein the quantum sensor comprises diamond.
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| CN110308378B (en) * | 2019-07-31 | 2021-01-05 | 保定河软机器人科技有限公司 | Insulation detection sensor for high-voltage pipe sleeve of railway locomotive |
| CN111610382A (en) * | 2020-05-08 | 2020-09-01 | 国网江苏省电力有限公司检修分公司 | Non-contact transformer bushing space electric field monitoring device |
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