CN210487607U - Transformer oil aging degree on-line monitoring device - Google Patents
Transformer oil aging degree on-line monitoring device Download PDFInfo
- Publication number
- CN210487607U CN210487607U CN201921478982.XU CN201921478982U CN210487607U CN 210487607 U CN210487607 U CN 210487607U CN 201921478982 U CN201921478982 U CN 201921478982U CN 210487607 U CN210487607 U CN 210487607U
- Authority
- CN
- China
- Prior art keywords
- oil
- spectrum
- transformer oil
- monitoring device
- transformer
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Landscapes
- Investigating, Analyzing Materials By Fluorescence Or Luminescence (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
In the transformer oil aging degree on-line monitoring device, a near infrared generator emits laser with a wavelength of 785nm, the laser is emitted into a Michelson interferometer to generate interference light, the interference light is emitted into a sample chamber, the light passing through the sample chamber generates scattered light through a Raman scattering phenomenon, the scattered light is projected onto a spectrum detector to obtain spectrum information after being filtered by a notch filter to remove a Rayleigh line with the wavelength of 785nm, an optical signal is converted into an electric signal through an analog-to-digital converter, the electric signal is transmitted to a microcomputer through an optical fiber, the microcomputer obtains spectrum data through a Fourier transform method, and the aging degree is judged according to characteristic quantities in the spectrum data by comparing spectrum models of transformer oil in different aging stages; the method and the device avoid adverse effects brought by a sampling process; and moreover, the state data of the insulating oil can be obtained in real time, the aging trend of the insulating oil is obtained by comparison in a database, and the real-time performance of detection is improved.
Description
Technical Field
The application relates to the technical field of transformer oil aging monitoring, in particular to an online transformer oil aging degree monitoring device.
Background
The transformer oil is mineral insulating oil refined from petroleum products, and mainly comprises alkanes, cyclanes and aromatics, mainly hydrocarbons. Transformer oil is a main liquid insulating medium used for insulation, cooling and arc extinguishing in electric power equipment, and is required to have excellent insulating properties because it is used as a liquid insulating medium.
In an actual transformer, with the extension of operation time, the transformer oil is oxidized and aged to generate degradation products such as free radicals, alcohol, aldehyde and ketone, and the insulation performance of the transformer oil is seriously affected.
At present, methods for detecting the aging of transformer oil are test methods such as insulating oil acid value determination, oil surface tension test and the like, but the methods need to take a sample of insulating oil from a transformer and send the sample to a laboratory for physical and chemical property analysis, and because an oil sample is exposed in air, the oil sample is further oxidized and aged and is easily polluted in the transportation process, so that the accuracy of a detection result is influenced; and aging detection can not be carried out at any time due to sampling, so that the real-time performance of detection is reduced.
SUMMERY OF THE UTILITY MODEL
The application provides a transformer oil aging degree on-line monitoring device to improve the accuracy and the real-time of testing result.
In order to solve the technical problem, the embodiment of the application discloses the following technical scheme:
the application provides transformer oil aging degree on-line monitoring device, one side of transformer body is located to the device, the device includes: consecutive near-infrared laser generator, michelson interferometer, spectrum detection chamber, adc, microcomputer, oil circuit pipe and fin, wherein:
a sample chamber, a trap filter and a spectrum detector which are connected in sequence are arranged in the spectrum detection cavity;
one end of the oil circuit pipe is communicated with the transformer body, and the other end of the oil circuit pipe is communicated with the spectrum detection cavity;
the oil circuit pipe penetrates through the radiating fin and is communicated with the spectrum detection cavity.
Optionally, the spectrum detection chamber further includes a chamber wall, and the chamber wall is a light-absorbing chamber wall.
Optionally, an electromagnetic valve is arranged at a connection position of the oil line pipe and the inlet end of the spectrum detection cavity, and an electromagnetic valve is arranged at a connection position of the oil line pipe and the outlet end of the spectrum detection cavity.
Optionally, the analog-to-digital converter is in communication connection with the microcomputer through an optical fiber.
Optionally, the power supply of the device is a single-phase power supply for a substation.
Compared with the prior art, the beneficial effect of this application is:
according to the technical scheme, in the transformer oil aging degree on-line monitoring device, a near-infrared laser generator emits laser with the wavelength of 785nm, the laser is emitted into a Michelson interferometer to generate interference light, the interference light is emitted into a sample chamber, the light passing through the sample chamber generates scattered light through a Raman scattering phenomenon, the scattered light is filtered by a trap filter to remove Rayleigh rays with the wavelength of 785nm and then is projected onto a spectrum detector to obtain spectrum information, an analog-to-digital converter converts an optical signal into an electric signal, the electric signal is transmitted to a microcomputer through an optical fiber, the microcomputer obtains spectrum data through a Fourier transform method, and the aging degree is judged according to characteristic quantities in the spectrum data and spectrum models of transformer oil in different aging stages; the method and the device have the advantages that the sampling process is omitted, and adverse effects caused by the sampling process are avoided; and moreover, the state data of the insulating oil can be obtained in real time, the aging trend of the insulating oil is obtained by comparison in a database, and the real-time performance of detection is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
In order to more clearly explain the technical solution of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious to those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an online transformer oil aging degree monitoring device provided in an embodiment of the present application.
Wherein:
the device comprises a 1-near infrared laser generator, a 2-Michelson interferometer, a 3-spectrum detection cavity, a 4-analog-to-digital converter, a 5-microcomputer, a 6-electromagnetic valve, a 7-notch filter, an 8-spectrum detector, a 9-sample chamber, a 10-cavity wall, 11-radiating fins, a 12-transformer body, a 13-oil path pipe and a 14-optical fiber.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, fig. 1 shows a schematic structural diagram of an online transformer oil aging monitoring device provided by the present application, and the online transformer oil aging monitoring device provided by the present application is described below with reference to fig. 1.
The device is located one side of transformer body 12, the device includes: consecutive near-infrared laser generator 1, michelson interferometer 2, spectrum detection chamber 3, adc 4, microcomputer 5, oil circuit pipe 13 and fin 11, wherein:
different structures, motion energy and molecules have different reactions to the Raman scattering phenomenon, qualitative and quantitative analysis can be performed on a sample by applying the principle, and the fluorescent reaction of the transformer oil is particularly sensitive to ultraviolet light, which can greatly interfere the result, so that the near-infrared laser generator 1 is selected in the application, and the near-infrared laser generator 1 can effectively solve the problem; the near-infrared laser generator 1 emits laser with the wavelength of 785nm, so that interference of the fluorescence effect of the transformer oil can be avoided, and the components of the transformer oil cannot be damaged due to low energy density.
The michelson interferometer 2 is a precision optical instrument that uses a method of splitting the amplitude of light waves to achieve interference.
A sample chamber 9, a notch filter 7 and a spectrum detector 8 which are connected in sequence are arranged in the cavity of the spectrum detection cavity 3, wherein the notch filter 7 is arranged for filtering rayleigh scattered rays with the same wavelength as the incident laser source, namely the notch filter 7 can filter rayleigh scattered rays with the wavelength of 785 nm.
The near-infrared laser generator 1 emits laser with the wavelength of 785nm, the laser is emitted into the Michelson interferometer 2 to generate interference light, the interference light is emitted into the sample chamber 9, the light passing through the sample chamber 9 generates scattered light through a Raman scattering phenomenon, the scattered light is filtered out of Rayleigh lines with the wavelength of 785nm through the notch filter 7 and then is projected onto the spectrum detector 8 to obtain spectrum information, the optical signal is converted into an electric signal through the analog-to-digital converter 4, the electric signal is transmitted to the microcomputer 5 through an optical fiber, the microcomputer 5 obtains spectrum data through a Fourier transform method, and the aging degree is judged according to characteristic quantities in the spectrum data compared with spectrum models of transformer oil in different aging stages.
In addition, the microcomputer 5 may set a period of the transformer oil aging test, such as data of a disease persistence test performed once a week or a month, and may set a shortened test period if the data is abnormal.
Specifically, the step of judging the aging degree according to the characteristic quantity in the spectral data compared with the spectral model of the transformer oil in different aging stages comprises the following steps: performing wavelet packet decomposition on the spectral data, calculating wavelet packet energy entropy, taking the wavelet packet energy entropy as aging characteristic quantity of a training sample, training the training sample by using a multi-classification support vector machine according to four aging stages divided by polymerization degree of insulating paper, establishing an aging diagnosis initial model, and optimizing parameters to obtain an aging diagnosis model; and decomposing the spectral signals measured in real time to obtain wavelet packet energy entropy, and inputting the wavelet packet energy entropy into the established model to obtain an aging type result.
One end of the oil path pipe 13 is communicated with the transformer body 12, and the other end of the oil path pipe 13 is communicated with the spectrum detection cavity 3.
In order to ensure that the oil sample in the sample chamber 9 is updated in real time, the oil path pipe 13 penetrates through the radiating fin 11 and is communicated with the spectrum detection cavity 3, pressure difference is generated between the upper layer and the lower layer of transformer oil in the oil path pipe 13 through the cooling effect of the radiating fin 11, the upper layer of transformer oil flows into the radiator, the lower layer of transformer oil flows into the transformer body 12, and the steps are repeated, so that the transformer oil can flow into and out of the sample chamber 9 at any time, and the oil sample is ensured to be updated in real time; of course, the cooling effect can be realized by reforming the existing transformer radiating oil circuit, so that the pressure difference is generated between the upper layer and the lower layer of the transformer oil.
In order to prevent interference to detection scattered light caused by reflection generated after a part which is not scattered and absorbed, namely transmitted light irradiates on a cavity wall after near-infrared laser passes through an oil sample, the spectrum detection cavity 3 further comprises a cavity wall 10, and the cavity wall 10 is set as a light-absorbing cavity wall; the surface of the chamber wall 10 is coated with a light absorbing material that absorbs light.
Since the oil sample can flow into and out of the sample chamber 9, in order to avoid the influence of oil flow, the electromagnetic valve 6 is arranged at the connection position of the oil path pipe 13 and the inlet end of the spectrum detection chamber 3, and the electromagnetic valve 6 is arranged at the connection position of the oil path pipe 13 and the outlet end of the spectrum detection chamber 3; when transformer oil aging test is carried out, the upper electromagnetic valve 6 and the lower electromagnetic valve 6 need to be closed, so that the influence of oil flow is avoided; and when the test is stopped, the upper electromagnetic valve 6 and the lower electromagnetic valve 6 are opened, so that the electromagnetic valves 6 participate in the cooling circulation of the transformer.
The analog-to-digital converter 4 is in communication connection with the microcomputer 5 through an optical fiber 14; the optical fiber 14 is used for transmission of signals.
Optionally, the test power supply of the device may be a single-phase power supply for a substation.
The method comprises the steps that a near-infrared Raman spectrum detector arranged on the side face of a transformer is used for obtaining Raman spectrum signals of transformer oil, real-time data are transmitted to a background computer through optical fibers after analog-to-digital conversion, spectrum data are obtained through Fourier transform, and analysis software compares a plurality of aging characteristic spectrum models in the computer according to spectrum characteristic values so as to analyze the aging degree of insulating oil; therefore, the sampling process is omitted, and adverse effects caused by the sampling process are avoided; and moreover, the state data of the insulating oil can be obtained in real time, the aging trend of the insulating oil is obtained by comparison in a database, and the real-time performance of detection is improved.
Since the above embodiments are all described by referring to and combining with other embodiments, the same portions are provided between different embodiments, and the same and similar portions between the various embodiments in this specification may be referred to each other. And will not be described in detail herein.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
The above-described embodiments of the present application do not limit the scope of the present application.
Claims (5)
1. The utility model provides a transformer oil ageing degree on-line monitoring device, its characterized in that, one side of transformer body (12) is located to the device, the device includes: consecutive near-infrared laser generator (1), michelson interferometer ware (2), spectrum detection chamber (3), adc (4), microcomputer (5), oil circuit pipe (13) and fin (11), wherein:
a sample chamber (9), a trap filter (7) and a spectrum detector (8) which are connected in sequence are arranged in the spectrum detection cavity (3);
one end of the oil path pipe (13) is communicated with the transformer body (12), and the other end of the oil path pipe (13) is communicated with the spectrum detection cavity (3);
the oil circuit pipe (13) penetrates through the radiating fin (11) and is communicated with the spectrum detection cavity (3).
2. The transformer oil aging degree on-line monitoring device according to claim 1, wherein the spectrum detection chamber (3) further comprises a chamber wall (10), and the chamber wall (10) is set as a light-absorbing chamber wall.
3. The transformer oil aging degree on-line monitoring device according to claim 1, characterized in that a solenoid valve (6) is arranged at the connection of the oil line pipe (13) and the inlet end of the spectrum detection cavity (3), and a solenoid valve (6) is arranged at the connection of the oil line pipe (13) and the outlet end of the spectrum detection cavity (3).
4. The transformer oil aging degree on-line monitoring device according to claim 1, characterized in that the analog-to-digital converter (4) is connected with the microcomputer (5) through an optical fiber (14) in communication.
5. The transformer oil aging degree on-line monitoring device of claim 1, wherein the power supply of the device is a single-phase power supply for a substation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201921478982.XU CN210487607U (en) | 2019-09-06 | 2019-09-06 | Transformer oil aging degree on-line monitoring device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201921478982.XU CN210487607U (en) | 2019-09-06 | 2019-09-06 | Transformer oil aging degree on-line monitoring device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN210487607U true CN210487607U (en) | 2020-05-08 |
Family
ID=70540990
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201921478982.XU Active CN210487607U (en) | 2019-09-06 | 2019-09-06 | Transformer oil aging degree on-line monitoring device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN210487607U (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112924651A (en) * | 2020-12-30 | 2021-06-08 | 广东电网有限责任公司电力科学研究院 | Method, device and equipment for detecting aging degree of transformer oil |
-
2019
- 2019-09-06 CN CN201921478982.XU patent/CN210487607U/en active Active
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112924651A (en) * | 2020-12-30 | 2021-06-08 | 广东电网有限责任公司电力科学研究院 | Method, device and equipment for detecting aging degree of transformer oil |
| CN112924651B (en) * | 2020-12-30 | 2022-07-29 | 广东电网有限责任公司电力科学研究院 | Method, device and equipment for detecting aging degree of transformer oil |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US7248370B2 (en) | Method to reduce background noise in a spectrum | |
| CN103983595B (en) | A kind of water turbidity calculation method processed based on ultraviolet-visible spectrum | |
| CN102539338B (en) | Online monitoring system for gas content in transformer oil by using photoacoustic spectrum | |
| US20160258876A1 (en) | Online Measurement Of Black Powder In Gas And Oil Pipelines | |
| Abu-Siada | Correlation of furan concentration and spectral response of transformer oil-using expert systems | |
| CN202404070U (en) | System for monitoring content of gas in transformer oil in online manner | |
| CN102566533B (en) | On-line monitoring device and method for preparing tobacco essence perfume | |
| Kalathiripi et al. | Analysis of transformer oil degradation due to thermal stress using optical spectroscopic techniques | |
| CN104165880A (en) | Online detecting method of dissolved gas in transformer oil | |
| CN210487607U (en) | Transformer oil aging degree on-line monitoring device | |
| CN103512860A (en) | Method for monitoring dissolved gas in transformer oil based on terahertz wave photonic crystal fibers | |
| CN101819140A (en) | Continuous monitoring device and method of gaseous elemental mercury concentration | |
| CN110567937A (en) | Competitive self-adaptive heavy-weighted key data extraction method for Raman spectrum analysis of insulating oil | |
| Alshehawy et al. | Evaluating the impact of aging in field transformer oil using optical spectroscopy techniques | |
| Abu-Siada et al. | Remnant life estimation of power transformer using oil UV-Vis spectral response | |
| CN112710628B (en) | Ultrasensitive SF based on broadband double-optical comb spectrum 6 Method for detecting gas decomposition component | |
| US20160258877A1 (en) | Online Measurement Of Black Powder In Gas And Oil Pipelines | |
| Regnima et al. | Monitoring power transformers oils deterioration using structured laser illumination planar imaging | |
| Oshima et al. | Novel method for estimating furfural content in transformer insulating oil using spectroscopic analysis and pattern recognition | |
| Meribout et al. | An NIR-based probe for submilligram measurement of solid contaminants in gas pipelines | |
| Zhang et al. | Ultraviolet differential spectroscopy quantitative analysis of SF6 decomposition component SO2 | |
| Chai et al. | ATR‐UV monitoring of methyl methacrylate miniemulsion polymerization for determination of monomer conversion | |
| CN112858210A (en) | Determination of damage to an optical surface for IR spectroscopic analysis | |
| Koffi et al. | Using structured laser illumination planar imaging (SLIPI) as a new technique to monitor the degradation of biodegradable oils in electrical power transformers | |
| CN204405482U (en) | A kind of liquid specific gravity instrument |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant |