CN112345598A - Micro-nano sensing equipment for detecting fault gas of power transmission and transformation equipment - Google Patents
Micro-nano sensing equipment for detecting fault gas of power transmission and transformation equipment Download PDFInfo
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Abstract
The invention provides micro-nano sensing equipment for detecting fault gas of power transmission and transformation equipment, which comprises: the system comprises a micro-fluidic gas sensor, a data processing module and an upper computer; the gas-sensitive sensor comprises a microfluidic gas sensor, a gas-sensitive sensing unit array, a gas-sensitive sensing unit and a gas-sensitive sensing unit, wherein the microfluidic gas sensor is internally provided with the gas-sensitive sensing unit array, and each gas-sensitive unit in the gas-sensitive sensing unit array is used for being respectively communicated with gas circuits of characteristic gases to be detected, which are output by different power transmission and transformation equipment, so that each gas-sensitive unit is; the data processing module is used for receiving resistivity change data of each gas sensitive unit; and the upper computer determines the type and the concentration of the characteristic gas to be detected according to the resistivity change data. The invention realizes high-precision on-line monitoring and off-line detection of trace characteristic gas types and concentrations through the gas-sensitive sensing unit array of the microfluidic gas sensor, accurately evaluates the insulation running state of the power transmission and transformation equipment, and has high sensitivity, high selectivity, high reliability and long-term stability.
Description
Technical Field
The invention relates to the technical field of power equipment fault characteristic gas detection, in particular to micro-nano sensing equipment for detecting fault gas of power transmission and transformation equipment.
Background
In the electric transmission and transformation equipment of the current electric power system: such as with SF6The method is characterized in that the method comprises the steps of providing a closed switch device (GIS) which is a gas insulation medium, a transformer which is a liquid insulation medium and is insulated by insulating oil, a high-voltage cable which is a solid insulation medium and is insulated by crosslinked polyethylene (XLPE), and the like, wherein if early and latent insulation faults occur in the device, the insulation medium can be decomposed by discharge or overheating energy generated by the faults, if fault characteristic gas cannot be detected in time, the defects can be further worsened, the device faults can be finally caused, insulation breakdown phenomena can be generated, and great harm is caused to the stable operation of a power system.
The gas to be detected in the power equipment is various, some gases are uncommon gases, mature research results do not exist, and cross interference is obvious, and the sensor at the present stage mainly aims at single or few gases and is difficult to meet the requirements; the sensor in the prior art has low integration level, and particularly when the gas sensitive sensing units are more, the gas sensitive sensing units cannot be uniformly integrated into a single small device, and a gas sensitive device with higher integration is required to be searched; the prior art can not accurately judge the insulation defects of the power transmission and transformation equipment and needs related experts to analyze the running state of the equipment.
Disclosure of Invention
In view of this, the invention provides a micro-nano sensing device for detecting fault gas of power transmission and transformation equipment, and aims to solve the problem that the insulation operation state of the power transmission and transformation equipment is difficult to accurately evaluate in the prior art.
The invention provides micro-nano sensing equipment for detecting fault gas of power transmission and transformation equipment, which comprises:
the gas sensing units in the gas sensing unit array are respectively communicated with gas paths of characteristic gases to be detected output by different power transmission and transformation equipment, so that each gas sensing unit is contacted with the corresponding characteristic gas to generate resistivity change; the data processing module is respectively connected with each gas-sensitive unit and used for receiving resistivity change data of each gas-sensitive unit; and the upper computer is connected with the data processing module and used for receiving the resistivity change data of each gas sensitive unit and determining the type and the concentration of the characteristic gas to be detected according to the resistivity change data.
Further, in the micro-nano sensing device for detecting the fault gas of the power transmission and transformation device, the micro-fluidic gas sensor includes: the gas sensor comprises a shell and an array of gas sensitive sensing units; wherein the gas-sensitive sensing unit is arranged inside the shell; the gas-sensitive sensing unit array comprises a first gas-sensitive unit, a second gas-sensitive unit and a third gas-sensitive unit which are arranged in parallel; and gas channels are respectively arranged in the first gas sensitive unit, the second gas sensitive unit and the third gas sensitive unit and are respectively communicated with gas paths of characteristic gases to be detected of different power transmission and transformation equipment.
Further, in the micro-nano sensing device for detecting fault gas of power transmission and transformation equipment, the first gas-sensitive sensing unit, the second gas-sensitive sensing unit and the third gas-sensitive sensing unit all include: the gas sensors are arranged in parallel, and each gas sensor in each gas sensor unit is made of different gas-sensitive materials.
Further, in the micro-nano sensing device for detecting the fault gas of the power transmission and transformation device, each gas sensitive unit in the gas sensitive sensing unit array is made of at least one of a micro-nano carbon nanotube, graphene, tin oxide and a metal oxide.
Further, in the micro-nano sensing equipment for detecting the fault gas of the power transmission and transformation equipment, the gas sensitive element of the first gas sensitive sensing unit adopts micro-nano SnO2、ZnO、WO3、In2O3、CuO、NiO、Fe2O3Or perovskite micro-nano material.
Further, in the micro-nano sensing device for detecting the fault gas of the power transmission and transformation device, the data processing module is connected with each gas-sensitive sensing unit in the gas-sensitive sensing unit array through the test electrode.
Further, in the micro-nano sensing device for detecting the fault gas of the power transmission and transformation device, the data processing module includes: a filtering unit and an analyzing unit; wherein the content of the first and second substances,
the filtering unit is connected with each gas sensitive unit in the gas sensitive sensing unit array and is used for preprocessing the resistivity change data of each gas sensitive unit, reducing noise, improving the signal-to-noise ratio, filtering out distortion signals and improving the identification efficiency of the system; the analysis unit is connected with the filtering unit and used for analyzing the data processed by the filtering unit.
Further, in the micro-nano sensing device for detecting the fault gas of the power transmission and transformation device, the data processing module further includes: and the analysis unit generates a fault type based on the information of the type of the gas to be detected and the concentration of the gas to be detected.
Further, in the micro-nano sensing device for detecting the fault gas of the power transmission and transformation device, the data processing module further includes: and the cross interference processing unit is used for eliminating cross interference to form new sensing data when the characteristic gas to be detected by each gas sensitive unit contains part of gas with the same components.
Further, in the micro-nano sensing equipment for detecting the fault gas of the power transmission and transformation equipment, a display is arranged in the upper computer and used for displaying the type and the concentration of the characteristic gas to be detected.
According to the micro-nano sensing equipment for detecting the fault gas of the power transmission and transformation equipment, the high-precision on-line monitoring and off-line detection of the trace characteristic gas type and concentration are realized through the gas-sensitive sensing unit array of the micro-fluidic gas sensor, the insulation running state of the power transmission and transformation equipment is accurately evaluated, the micro-nano sensing equipment has high sensitivity, high selectivity, high reliability and long-term stability, and theoretical support and technical support are provided for constructing intelligent power grids and intelligent electric equipment.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a schematic structural diagram of a micro-nano sensing device for detecting fault gas of power transmission and transformation equipment according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a single gas sensitive material unit according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art. It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
Referring to fig. 1, the micro-nano sensing device for detecting the fault gas of the power transmission and transformation device according to the embodiment of the present invention includes: the device comprises a micro-fluidic gas sensor 1, a data processing module 2 and an upper computer 3; the gas sensor comprises a microfluidic gas sensor 1, a gas-sensitive sensing unit array, a gas-sensitive sensing unit and a gas-sensitive sensing unit, wherein the gas-sensitive sensing unit array is arranged in the microfluidic gas sensor 1, and each gas-sensitive sensing unit in the gas-sensitive sensing unit array is used for being respectively communicated with gas circuits of characteristic gases to be detected, which are output by different power transmission and transformation equipment, so that each gas-sensitive sensing unit is; the data processing module 2 is respectively connected with each gas-sensitive unit and used for receiving resistivity change data of each gas-sensitive unit; the upper computer 3 is connected with the data processing module 2 and used for receiving resistivity change data of the gas sensitive units and determining the type and concentration of the characteristic gas to be detected according to the resistivity change data.
Specifically, the microfluidic gas sensor 1 includes: the gas sensor comprises a shell and an array of gas sensitive sensing units; wherein the gas-sensitive sensing unit is arranged inside the shell; the gas sensing unit array comprises a first gas sensing unit 101, a second gas sensing unit 102 and a third gas sensing unit 103 which are arranged in parallel; gas channels are respectively formed in the first gas sensitive unit 101, the second gas sensitive unit 102 and the third gas sensitive unit 103, and each gas channel is used for being respectively communicated with gas paths of characteristic gases to be detected of different power transmission and transformation equipment.
The shell can be in a square or rectangular structure; the first gas sensitive unit, the second gas sensitive unit and the third gas sensitive unit can be arranged on the circuit board in rows or columns at intervals, namely the first gas sensitive unit, the second gas sensitive unit and the third gas sensitive unit are mutually independent.
Referring to fig. 2, further, since each of the power transmission and transformation equipment may emit a plurality of characteristic gases when it malfunctions, the first gas sensor unit, the second gas sensor unit, and the third gas sensor unit each include: a plurality of gas sensors 100 arranged in parallel, and each gas sensor in each gas sensor unit is made of different gas-sensitive materials. It can be seen that, in this embodiment, the gas sensing unit array integrates a plurality of chips and is finally fused into a single microfluidic gas sensor 1, so that the integration level is high.
In the embodiment, the first gas-sensitive sensing unit detects fault characteristic gas of the power transformer; second gas sensing unit for sensing gas with SF6Detecting fault characteristic gas of a closed switch device (GIS) which is a gas insulation medium; and the third gas-sensitive sensing unit detects fault characteristic gas of the high-voltage cable.
In this embodiment, a gas flow channel of the first gas-sensitive sensing unit is communicated with the first gas path L1, and a gas flow channel of the second gas-sensitive sensing unit is communicated with the second gas path L2; the gas runner of the third gas-sensitive sensing unit is communicated with a third gas path L3, wherein: the first gas path L1 is used to transmit fault signature gas of the power transformer, the second gas path L2 is used to transmit fault signature gas of the GIS equipment, and the third gas path L3 is used to transmit fault signature gas of the high-voltage cable.
The gas channels of the first gas-sensitive sensing unit, the second gas-sensitive sensing unit and the third gas-sensitive sensing unit can be gas channels embedded in the bodies of the first gas-sensitive sensing unit, the second gas-sensitive sensing unit and the third gas-sensitive sensing unit, and two ends of each gas channel are communicated with corresponding gas channels, so that gas is in contact with the surfaces of the gas-sensitive sensing units through the gas channels to react. The length, the cross section and the contact area of each gas channel of the first gas-sensitive sensing unit, the second gas-sensitive sensing unit and the third gas-sensitive sensing unit are determined according to the introduced fault gas quantity of the power transmission and transformation equipment.
Each gas-sensitive unit in the gas-sensitive sensing unit array is made of micro-nano carbon nanotubes, graphene, metal oxide or composite materials thereof.
More specifically, the gas sensitive element of the first gas sensitive sensing unit adopts micro-nano SnO2、ZnO、WO3、In2O3、CuO、NiO、Fe2O3Or perovskite micro-nano material.
The decomposition of insulating oil and paper of transformer mainly generates H2、CH4、C2H6、C2H4、C2H2、C3H8、C3H6、CO、CO2And the fault characteristic gas detected by the first gas-sensitive sensing unit can comprise: h2、CH4、C2H6、C2H4、C2H2、C3H8、C3H6CO and CO2At least one of (1).
SF of GIS6And damage of solid insulation mainly produces SO2、SOF2、SO2F2、H2S、CS2、HF、CO、CO2And the fault characteristic gas detected by the second gas-sensitive sensing unit can comprise SO2、SOF2、SO2F2、H2S、CS2HF, CO and CO2At least one of (1).
Due to the XLPE decomposition of the high-voltage cable, trace CO and CO can be generated2、C2H4、C2H6And the fault characteristic gas detected by the third gas sensing unit can comprise CO and CO2、C2H4And C2H6At least one of (1).
In one embodiment of this embodiment, the gas sensor cell array is made of SF6Decomposition of SO in the component2、SOF2、SO2F2The detection limit is less than or equal to 0.5 mu L/L, H2The detection limit of S is less than or equal to 0.2 mu L/L; CO and C in transformer oil2H2、C2H4The detection limit is less than or equal to 0.1 mu L/L, H2、CH4、C2H6The detection limit is less than or equal to 0.5 mu L/L, XLPE for cables CO and C2H4Detection limit is less than or equal to 0.1 mu L/L, CH4、C2H6、CO2The detection limit is less than or equal to 0.5 mu L/L. The gas has the highest detection concentration of 100 mu L/L, the repeatability is more than or equal to 95 percent, the mean fault interval time is more than or equal to 1000 hours, and the fault recognition rate is more than 90 percent.
In this embodiment, the data processing module 2 is connected to each gas sensing unit in the gas sensing unit array through a test electrode 4.
The data processing module 2 includes: a filtering unit and an analyzing unit; the filtering unit is connected with each gas-sensitive unit in the gas-sensitive sensing unit array and is used for preprocessing the resistivity change data of each gas-sensitive unit so as to reduce noise, improve the signal-to-noise ratio, filter out distorted signals and improve the identification efficiency of the system; the analysis unit is connected with the filtering unit and used for analyzing the data processed by the filtering unit.
Specifically, in this embodiment, before the test, a large number of gas-sensitive test experiments are performed, and the output data of the corresponding gas-sensitive sensing unit is obtained according to the known components and concentrations of the test gas. Firstly, a large amount of existing test data is used for training a neural network algorithm, during training and testing, a response value of a gas-sensitive sensing unit is used as input data, known test gas component and concentration information is used as expected data, during training, the input data is transmitted to output from front to back, when the output data is different from the expected value, an error reverse transmission process is carried out, meanwhile, threshold value information of the network is adjusted, after repeated iterative optimization, prediction information is made to continuously approach the expected value, and then model building is completed. By establishing the corresponding relation between the gas type concentration and the output data of the gas-sensitive sensing unit, the component and concentration information of the characteristic gas to be detected can be obtained according to the output data of the gas-sensitive sensing unit acquired in real time.
In this embodiment, the data processing module 2 further includes: and the analysis unit generates a fault type based on the information of the type of the gas to be detected and the concentration of the gas to be detected.
Specifically, a large number of fault model experiments are carried out in advance, and gas composition information is counted under different fault types. A deep learning neural network is used, a large amount of component data collected according to different fault experiments are used as the input end of the neural network, the fault types in the experiments are used as the output end of the neural network, the neural network is trained through actually measured sample model data, effective corresponding relations are built between the input end and the output end, and a self-learning training unit is formed to analyze the fault types according to the type information and the concentration of the gas to be tested. And for the trained neural network, when new gas component and concentration information to be detected is acquired, fault type diagnosis can be carried out.
Preferably, the data processing module 2 further comprises: and the cross interference processing unit is used for eliminating cross interference to form new sensing data when the characteristic gas to be detected by each gas sensitive unit contains part of gas with the same components.
Because each single gas sensitive material (sensor) in the sensor array is sensitive to not only one gas but also several gases, but also has different sensitivity degrees to different target gases, namely, when mixed gas is introduced, each sensing unit also has certain response to some non-sensitive gases, so that a cross interference phenomenon exists.
In order to reduce the influence of cross interference, a machine learning algorithm is introduced aiming at the sensitive overlapping part of the sensor to the gases with different concentrations, so that the qualitative classification and the quantitative analysis of the mixed gas are realized.
The new sensing data is the accurate data obtained after the cross interference is eliminated by using an algorithm. If cross-interference is not excluded, the measurement data obtained will be biased.
Specifically, the cross interference processing unit obtains new sensing initial data by introducing the characteristic gas to be detected in the power equipment based on the neural network gas identification system, and performs subsequent processing. In one embodiment, the subsequent processing includes a single chip microcomputer in the data processing module to complete the denoising and cross interference algorithms, and the gas concentration result is output to the display module of the upper computer 3.
In this embodiment, the upper computer 3 is provided with a display for displaying the type and concentration of the characteristic gas to be measured. The display can adopt a liquid crystal screen or a touch screen.
Before the micro-nano sensing equipment in the embodiment is tested, a deep neural network in the upper computer 3 is trained by collecting a large amount of gas-sensitive experimental data of different equipment, and the training reliability is verified by a supplementary experiment. During testing, gas passes through the gas circuit and fully contacts the gas-sensitive sensing unit array, the resistivity of the gas-sensitive material changes, the change rule is transmitted to the data processing module 2 through a wire, the data processing module 2 transmits data to a deep neural network system in the upper computer 3 after filtering and denoising, the type and concentration information of the final gas to be tested are obtained through analysis of the trained neural network system, and the final gas to be tested is displayed on a display screen in the upper computer 3. During operation, 3 gas circuits are independent of each other, and each gas circuit corresponds to the fault characteristic gas detection requirements of different power equipment, if the first gas circuit L1 corresponds to power transformer detection, the second gas circuit L2 corresponds to GIS equipment detection, and the third gas circuit L3 corresponds to high-voltage cable detection. Therefore, the micro-fluidic sensor can be suitable for fault characteristic gas detection of the three power devices. For example, when the trace characteristic gas of the power transformer needs to be detected, only the corresponding first gas path L1 is opened for gas collection.
In conclusion, the micro-nano sensing equipment for detecting the fault gas of the power transmission and transformation equipment, provided by the invention, realizes high-precision on-line monitoring and off-line detection of the trace characteristic gas type and concentration through the gas-sensitive sensing unit array of the micro-fluidic gas sensor, accurately evaluates the insulation running state of the power transmission and transformation equipment, has high sensitivity, high selectivity, high reliability and long-term stability, and provides theoretical support and technical support for constructing a smart grid and smart power equipment.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A receive sensing equipment a little for transmission and transformation equipment fault gas detects which characterized in that includes:
the gas sensing units in the gas sensing unit array are respectively communicated with gas paths of characteristic gases to be detected output by different power transmission and transformation equipment, so that each gas sensing unit is contacted with the corresponding characteristic gas to generate resistivity change;
the data processing module is respectively connected with each gas-sensitive unit and used for receiving resistivity change data of each gas-sensitive unit;
and the upper computer is connected with the data processing module and used for receiving the resistivity change data of each gas sensitive unit and determining the type and the concentration of the characteristic gas to be detected according to the resistivity change data.
2. The micro-nano sensing device for detection of fault gas of electric transmission and transformation equipment according to claim 1, wherein the micro-fluidic gas sensor comprises: the gas sensor comprises a shell and an array of gas sensitive sensing units; wherein the content of the first and second substances,
the gas-sensitive sensing unit is arranged inside the shell;
the gas-sensitive sensing unit array comprises a first gas-sensitive unit, a second gas-sensitive unit and a third gas-sensitive unit which are arranged in parallel; and gas channels are respectively arranged in the first gas sensitive unit, the second gas sensitive unit and the third gas sensitive unit and are respectively communicated with gas paths of characteristic gases to be detected of different power transmission and transformation equipment.
3. The micro-nano sensing equipment for detecting the fault gas of the electric transmission and transformation equipment according to claim 2, wherein the first gas-sensitive sensing unit, the second gas-sensitive sensing unit and the third gas-sensitive sensing unit comprise: the gas sensors are arranged in parallel, and each gas sensor in each gas sensor unit is made of different gas-sensitive materials.
4. The micro-nano sensing equipment for detecting the fault gas of the electric transmission and transformation equipment according to claim 2, wherein each gas-sensitive unit in the gas-sensitive sensing unit array is made of at least one of a micro-nano carbon nanotube, graphene and a metal oxide.
5. The micro-nano sensing equipment for detecting the fault gas of the electric transmission and transformation equipment according to claim 4, wherein the gas sensitive element of the first gas sensitive sensing unit adopts micro-nano SnO2、ZnO、WO3、In2O3、CuO、NiO、Fe2O3Or perovskite micro-nano material.
6. The micro-nano sensing equipment for detecting the fault gas of the electric transmission and transformation equipment according to claim 1, wherein the data processing module is connected with each gas-sensitive sensing unit in the gas-sensitive sensing unit array through a test electrode.
7. The micro-nano sensing equipment for detecting the fault gas of the electric transmission and transformation equipment according to claim 1, wherein the data processing module comprises: a filtering unit and an analyzing unit; wherein the content of the first and second substances,
the filtering unit is connected with each gas-sensitive unit in the gas-sensitive sensing unit array and is used for preprocessing the resistivity change data of each gas-sensitive unit so as to reduce noise, improve the signal-to-noise ratio, filter out distorted signals and improve the identification efficiency of the system;
the analysis unit is connected with the filtering unit and used for analyzing the data processed by the filtering unit.
8. The micro-nano sensing equipment for detecting the fault gas of the electric transmission and transformation equipment according to claim 1, wherein the data processing module further comprises: and the analysis unit generates a fault type based on the information of the type of the gas to be detected and the concentration of the gas to be detected.
9. The micro-nano sensing equipment for detecting the fault gas of the electric transmission and transformation equipment according to claim 1, wherein the data processing module further comprises: and the cross interference processing unit is used for eliminating cross interference to form new sensing data when the characteristic gas to be detected by each gas sensitive unit contains part of gas with the same components.
10. The micro-nano sensing equipment for detecting the fault gas of the electric transmission and transformation equipment according to claim 1, wherein a display is arranged in the upper computer and used for displaying the type and the concentration of the characteristic gas to be detected.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115047037A (en) * | 2022-06-10 | 2022-09-13 | 湖北工业大学 | Portable detection device and detection method based on microfluidic gas sensor |
| CN115047044A (en) * | 2022-06-10 | 2022-09-13 | 湖北工业大学 | Electrolyte gas detection device and method of micro-fluidic gas sensor technology |
| CN116399910A (en) * | 2023-06-05 | 2023-07-07 | 湖北工业大学 | Microfluidic gas detection device for GIS equipment |
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