CN113781438A - Method for judging corona initial voltage by using spot area based on discharge ultraviolet image - Google Patents
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- 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 invention provides a method for judging corona initial voltage by using spot area based on discharge ultraviolet image, which utilizes a solar blind ultraviolet imager to detect a defective lead, detects solar blind waveband ultraviolet light radiated during corona discharge of the defective lead, records an ultraviolet image, and proposes to use spot area quantization parameters to judge corona initial voltage and characterize discharge intensity.
Description
Technical Field
The invention belongs to the technical field of corona initial voltage monitoring, and particularly relates to a method for judging corona initial voltage by using a light spot area based on a discharge ultraviolet image.
Background
The corona phenomenon is the ionization phenomenon of air around a wire under the action of a strong electric field, and the generation of the corona phenomenon is related to the condition of the wire and the air around the wire, wherein when a direct current transmission wire has a defect, local field intensity is distorted, and when an electric field near the defect exceeds a critical corona starting field intensity, the corona phenomenon can occur on a circuit. The initial stage of dc corona causes the following problems: generating a large amount of electromagnetic waves to interfere the wireless signal transmission system; audible noise is generated to influence the life of residents; produced O3NO and NO2The aging of the wire insulation is accelerated; energy loss due to discharge; when the circuit is serious, the circuit discharge is developed, and the normal operation of the circuit is threatened.
When the surface of the wire has defects, corona discharge can occur at the defects, and the discharge is accompanied by various characteristic signals, such as sound, light, heat, high-frequency pulses, electromagnetic waves and the like, so that a current sensor detection mode is proposed by a person skilled in the art, but the mode needs to change the structure of the power transmission line and contact the power transmission line. In order to overcome the defects caused by a contact detection mode, the technical personnel in the field provide a mode for detecting the defective discharge of the lead based on an infrared imaging technology and a frequency spectrum detection method based on acoustics, but the detection mode based on the infrared imaging technology has low detection sensitivity to the lead with unobvious heating, and the frequency spectrum detection method based on acoustics is easily interfered by environmental noise.
Disclosure of Invention
In order to solve the technical problem, the invention provides a method for judging corona starting voltage by using the area of a light spot based on a discharge ultraviolet image. The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview and is intended to neither identify key/critical elements nor delineate the scope of such embodiments. Its sole purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is presented later.
The invention adopts the following technical scheme:
in some optional embodiments, a method for discriminating corona onset voltage by using spot area based on discharge ultraviolet image is provided, which comprises the following steps: acquiring the area of a light spot in each image frame; selecting the average value of the light spot areas in all the image frames under the same voltage as the light spot area parameter under the voltage; and fitting the spot area parameter and the external voltage of the direct current wire to be detected by selecting a saturation function to obtain an intersection point of a fitting curve and the X axis of the coordinate system, namely the corona starting voltage.
Further, the method also comprises the following steps: applying gradually increased external voltage to the direct current lead to be detected, and simultaneously shooting the direct current lead to be detected by a solar blind ultraviolet imager; and acquiring video data of the direct current wire to be detected, which is shot by the solar blind ultraviolet imager, and preprocessing each image frame of the video data.
Further, the process of preprocessing each image frame of the video data includes: graying the image; carrying out image binarization; morphological filtering; removing a small area region in the binary image; and (5) contour tracking.
Further, the video frame rate of the solar blind ultraviolet imager is 25fps, and continuous 6-second video data under the same voltage are selected to calculate the average value of the spot areas of 150 pictures contained in the 6-second video data to serve as the spot area parameter under the voltage.
Further, an X axis of the coordinate system is an applied voltage of the dc lead to be detected, and a Y axis is a ratio of the spot area parameter to the applied voltage of the dc lead to be detected.
The invention has the following beneficial effects: the invention has the advantages of higher sensitivity and detection efficiency, better positioning property, higher accuracy and better detection effect on corona discharge of the defects of burrs and broken strands of the wires.
Drawings
FIG. 1 is a schematic flow diagram of the present invention;
FIG. 2 is a photograph of image frame changes during the preprocessing of the present invention;
FIG. 3 is a graph showing the relationship between the spot area parameter and the applied voltage obtained from three tests;
FIG. 4 is a graph of the relationship of S/Uapp to Uapp for a third experiment of the present invention;
FIG. 5 is a graph obtained after fitting according to the present invention.
Detailed Description
The following description and the drawings sufficiently illustrate specific embodiments of the invention to enable those skilled in the art to practice them. Other embodiments may incorporate structural, logical, electrical, process, and other changes. The examples merely typify possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in or substituted for those of others.
Ultraviolet light in the 200-400nm wave band in the solar radiation wave band is absorbed by the atmosphere and cannot reach the ground, and the ultraviolet wave band is a solar blind ultraviolet wave band. The solar blind ultraviolet imager is used for imaging the lead body, an ultraviolet channel of the solar blind ultraviolet imager is provided with a special filter which can only pass solar blind ultraviolet band signals, and interference of sunlight signals can be avoided. Therefore, the invention provides a non-contact method for judging corona starting voltage by utilizing the area of the light spot based on a discharge ultraviolet image based on the fact that the area of the light spot is detected by using an ultraviolet imaging method, the area of the discharge light spot of the defect wire is obviously higher than that of the defect-free condition under the same voltage condition, and the area of the light spot is larger when the defect of the wire is more serious.
In some illustrative embodiments, as shown in fig. 1, there is provided a method for discriminating corona onset voltage using spot area based on discharge uv image, comprising the steps of:
101: and applying gradually increased external voltage to the direct current wire to be detected, and shooting the direct current wire to be detected by a solar blind ultraviolet imager to realize the monitoring of the wire.
The wire is detected by a solar blind ultraviolet imager, and when the wire has defects, halation can be caused, so that sudden increase of the area of a light spot is generated. The spot area mentioned in the invention refers to the statistical value of the pixels in the photon concentration area.
102: the method comprises the steps of obtaining video data of a direct current lead to be detected shot by a solar blind ultraviolet imager, and preprocessing each image frame in the video data.
In order to locate the photon concentration area and solve the pixel of the photon concentration area, each image frame of video data shot by the solar blind ultraviolet imager needs to be preprocessed. The preprocessing process of each image frame comprises the following steps: image interception; graying the image; carrying out image binarization; morphological filtering; removing a small area region in the binary image; and (5) contour tracking. The processing procedure of a single frame ultraviolet image is shown in fig. 2, and the spot area in the image is calculated to be 5393 pixels.
Graying, in the RGB model, if R ═ G ═ B, a color represents a grayscale color, where the value of R ═ G ═ B is called the grayscale value, and therefore, the grayscale image only needs one byte per pixel to store the grayscale value. The image binarization is to set the gray value of a pixel point on an image to be 0 or 255, namely, the whole image presents an obvious black-and-white effect, and the image binarization enables the data volume in the image to be greatly reduced, so that the outline of a target can be highlighted. The morphological filtering can perform denoising, enhancing and the like on the image, and comprises a plurality of operations, wherein the two most basic morphological operations are erosion and expansion. After a small area region in the binary image is removed, the image can be retained in a large area region, and a main graph on the image is more highlighted. When identifying an object in an image, it is often necessary to track the edge of the object, also called contour tracking, which is to track the boundary by finding out edge points in sequence.
103: and acquiring the area of the light spot in each image frame. Calculating the area of a certain figure in an image is the prior art, and the invention is not repeated.
104: and selecting the average value of the light spot areas in all the image frames under the same voltage as the light spot area parameter under the voltage, wherein the light spot area parameter is the average light spot area.
The frame rate of a video shot by a CoroCAM 504 solar blind ultraviolet imager is 25fps, and a light spot map is refreshed once every 1 frame. In the test, the applied voltage is adjusted up once every 10 seconds in the shortest time, so that the video data of continuous 6 seconds under the same applied voltage is selected to calculate the average value of the light spot areas of 150 frames of pictures contained in the video data of 6 seconds as the light spot area parameter under the voltage, the accuracy of the measured data can be ensured by adopting the values, and the resource waste is avoided.
As shown in fig. 3, the curve is a relationship curve between the spot area parameter and the applied voltage obtained by three consecutive tests under the standard atmospheric pressure, with the ambient relative humidity of 30%, the curvature radius of the burr tip of 0.1mm, the height of the burr of 4mm, and the radius of the wire of 5 mm.
As can be seen from FIG. 3, the three tests have good repeatability, and the area of the light spot can be used as a characteristic quantity for quantitatively evaluating the intensity of the corona discharge. The spot area versus applied voltage curve can be divided into three phases: before corona starts, the area of a light spot is not increased along with the increase of voltage and basically keeps unchanged; after corona starts, the area of a light spot rapidly rises, the voltage continues to rise, and finally the light spot tends to be saturated.
105: and fitting the spot area parameter and the external voltage of the direct current wire to be detected by selecting a saturation function to obtain an intersection point of a fitting curve and the X axis of the coordinate system, namely the corona starting voltage. The X axis of the coordinate system is the applied voltage Uapp of the direct current lead to be detected, and the Y axis is the ratio of the light spot area parameter S to the applied voltage Uapp of the direct current lead to be detected.
In fig. 3, data indicating that the spot area parameter S/applied voltage uopp is greater than 1 in the first test is obtained to obtain a relationship between S/uopp and uopp, as shown in fig. 4. It can be known from observation that after corona starts, the relation data of the S/Uapp and the Uapp meets the saturation relation, and then a proper saturation function can be selected for fitting. A common hyperbolic tangent function of the saturation function can be selected as a fitting function, and a curve shown in fig. 5 is obtained after fitting. As shown in fig. 5, the x value corresponding to the intersection of the fitted curve and the horizontal axis was 24.9kV, which is the corona onset voltage.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
Claims (5)
1. The method for judging corona initial voltage by using the area of the light spot based on the discharge ultraviolet image is characterized by comprising the following steps of:
acquiring the area of a light spot in each image frame;
selecting the average value of the light spot areas in all the image frames under the same voltage as the light spot area parameter under the voltage;
and fitting the spot area parameter and the external voltage of the direct current wire to be detected by selecting a saturation function to obtain an intersection point of a fitting curve and the X axis of the coordinate system, namely the corona starting voltage.
2. The method for discriminating corona onset voltage using spot area based on discharge uv image according to claim 1, further comprising before the method:
applying gradually increased external voltage to the direct current lead to be detected, and simultaneously shooting the direct current lead to be detected by a solar blind ultraviolet imager;
and acquiring video data of the direct current wire to be detected, which is shot by the solar blind ultraviolet imager, and preprocessing each image frame of the video data.
3. The method for discriminating corona onset voltage by using spot area based on discharging ultraviolet image as claimed in claim 2, wherein said preprocessing each image frame of video data comprises: graying the image; carrying out image binarization; morphological filtering; removing a small area region in the binary image; and (5) contour tracking.
4. The method for determining corona onset voltage based on discharge ultraviolet image using spot area according to claim 3, wherein a video frame rate of the solar-blind ultraviolet imager is 25fps, and an average value of spot areas of 150 pictures included in 6 seconds of video data is calculated by selecting the video data of 6 seconds continuously under the same voltage as the spot area parameter under the voltage.
5. The method for discriminating corona onset voltage based on discharging ultraviolet image using light spot area according to claim 4, wherein an X-axis of the coordinate system is applied voltage of the DC lead to be detected, and a Y-axis is a ratio of the light spot area parameter to the applied voltage of the DC lead to be detected.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US3684951A (en) * | 1970-12-09 | 1972-08-15 | Westinghouse Electric Corp | Methods of corona location utilizing three-phase voltage distribution patterns |
| US7105843B1 (en) * | 2005-05-27 | 2006-09-12 | Applied Materials, Israel, Ltd. | Method and system for controlling focused ion beam alignment with a sample |
| CN103018640A (en) * | 2012-11-27 | 2013-04-03 | 华北电力大学（保定） | Method for testing electricity discharge intensity of corona on surface of high-voltage insulator |
| US20160069750A1 (en) * | 2014-09-10 | 2016-03-10 | Rockwell Automation Technologies, Inc. | Thermal well for transformer and methods |
| CN111443264A (en) * | 2020-04-30 | 2020-07-24 | 国网江苏省电力有限公司电力科学研究院 | Corona ultraviolet imaging equipment-based corona discharge intensity identification method and system and storage medium |
| CN113091942A (en) * | 2021-03-29 | 2021-07-09 | 华中科技大学 | Orthogonal observation system and method for transient temperature of gas in pilot discharge channel |
-
2021
- 2021-09-12 CN CN202111065315.0A patent/CN113781438A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US3684951A (en) * | 1970-12-09 | 1972-08-15 | Westinghouse Electric Corp | Methods of corona location utilizing three-phase voltage distribution patterns |
| US7105843B1 (en) * | 2005-05-27 | 2006-09-12 | Applied Materials, Israel, Ltd. | Method and system for controlling focused ion beam alignment with a sample |
| CN103018640A (en) * | 2012-11-27 | 2013-04-03 | 华北电力大学（保定） | Method for testing electricity discharge intensity of corona on surface of high-voltage insulator |
| US20160069750A1 (en) * | 2014-09-10 | 2016-03-10 | Rockwell Automation Technologies, Inc. | Thermal well for transformer and methods |
| CN111443264A (en) * | 2020-04-30 | 2020-07-24 | 国网江苏省电力有限公司电力科学研究院 | Corona ultraviolet imaging equipment-based corona discharge intensity identification method and system and storage medium |
| CN113091942A (en) * | 2021-03-29 | 2021-07-09 | 华中科技大学 | Orthogonal observation system and method for transient temperature of gas in pilot discharge channel |
Non-Patent Citations (3)
| Title |
|---|
| HUAQIAN WANG ET.AL.: "Study on the flashover characteristics of bird droppings along 110kV composite insulator", 2018 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON) * |
| 刘云鹏;周广洋;黄世龙;陈少帅;张重远;: "基于紫外成像的高海拔分裂导线电晕起始特性研究", 电测与仪表, no. 19 * |
| 黎振宇: "输变电设备外绝缘放电紫外成像检测方法研究", 中国优秀硕士学位论文全文数据库工程科技Ⅱ辑, pages 84 * |
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Inventor after: Wang Shenghui Inventor after: Liu Huaqi Inventor after: Ma Kang Inventor after: Lv Fangcheng Inventor before: Lv Fangcheng Inventor before: Wang Shenghui Inventor before: Ma Kang Inventor before: Liu Huaqi |
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Application publication date: 20211210 |