CN104297645A - Electrical equipment external discharging ultraviolet detection and analysis method and device - Google Patents
Electrical equipment external discharging ultraviolet detection and analysis method and device Download PDFInfo
- Publication number
- CN104297645A CN104297645A CN201410523123.3A CN201410523123A CN104297645A CN 104297645 A CN104297645 A CN 104297645A CN 201410523123 A CN201410523123 A CN 201410523123A CN 104297645 A CN104297645 A CN 104297645A
- Authority
- CN
- China
- Prior art keywords
- ultraviolet
- image
- discharge
- detection
- electrical equipment
- 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.)
- Pending
Links
Landscapes
- Testing Relating To Insulation (AREA)
Abstract
本发明涉及一种电气设备外部放电紫外检测分析方法及装置。其特点是,包括如下步骤:a,首先,利用紫外成像仪对电气设备外部放电进行非接触式检测,并形成紫外放电图像;b,其次,将获得的紫外放电图像进行灰度处理,将彩色图片转化为二值灰度图像;c,然后,对二值灰度图像进行数学形态学滤波,获得清晰的紫外光斑二值灰度图谱;d,采用傅里叶描述子算法将滤波过后的清晰紫外光斑二值灰度图像与预设的典型放电紫外二值图像图谱库中的图像逐一进行量化比较;e,根据比较结果,给出设备外部放电类型的判断结果。采用本发明的技术方案能够实现电气设备紫外检测中设备放电类型的判断,提高现场紫外检测和诊断的科学性、准确性和可靠性。
The invention relates to an ultraviolet detection and analysis method and device for external discharge of electrical equipment. It is characterized in that it includes the following steps: a, firstly, using an ultraviolet imager to conduct non-contact detection on the external discharge of electrical equipment, and forming an ultraviolet discharge image; b, secondly, performing grayscale processing on the obtained ultraviolet discharge image, and converting the color The picture is converted into a binary grayscale image; c, then, perform mathematical morphology filtering on the binary grayscale image to obtain a clear binary grayscale spectrum of ultraviolet light spots; d, use the Fourier descriptor algorithm to filter the clear Quantitatively compare the binary grayscale image of the ultraviolet spot with the images in the preset typical discharge ultraviolet binary image library; e, according to the comparison result, the judgment result of the external discharge type of the equipment is given. The technical scheme of the invention can realize the judgment of the equipment discharge type in the ultraviolet detection of electrical equipment, and improve the scientificity, accuracy and reliability of on-site ultraviolet detection and diagnosis.
Description
技术领域technical field
本发明涉及一种电气设备外部放电紫外检测分析方法及装置。The invention relates to an ultraviolet detection and analysis method and device for external discharge of electrical equipment.
背景技术Background technique
绝缘子、套管等电气设备在运行中会由于表面污秽、凝露及毛刺等发生外部放电。电气设备的外部放电会腐蚀设备的绝缘,长期放电会导致绝缘劣化,造成事故。紫外检测是近年来发展起来的一种设备外部放电非接触式检测方法,其具有实时性好、非接触性、检测灵敏度高等特点,受到了广大现场工作者的欢迎。特别是对于线路上的绝缘子等设备,由于其处于高空,除了紫外成像,其他方法无法对其放电情况进行有效检测。目前的紫外检测通常采用日盲型检测装置,在紫外光段进行检测,可以避免太阳光的影响,极大的提高了现场检测的适用范围。Electrical equipment such as insulators and bushings will generate external discharges during operation due to surface contamination, condensation and burrs. The external discharge of electrical equipment will corrode the insulation of the equipment, and long-term discharge will cause insulation deterioration and cause accidents. Ultraviolet detection is a non-contact detection method for external discharge of equipment developed in recent years. It has the characteristics of good real-time, non-contact, and high detection sensitivity, and has been welcomed by the majority of field workers. Especially for equipment such as insulators on the line, due to their high altitude, other methods except for ultraviolet imaging cannot effectively detect their discharge conditions. The current ultraviolet detection usually uses a sun-blind detection device, and the detection is carried out in the ultraviolet section, which can avoid the influence of sunlight and greatly improve the scope of application of on-site detection.
现场紫外检测中,对于结果的分析关系着后续的处理措施,目前紫外检测结果以紫外图像形式进行呈现,再辅助于紫外光子数等指标,无法给出放电类型等进一步的结果。因此如何根据现场检测结果方便、快速的进行进一步分析,给出放电类型,是目前需要解决的关键问题。In the on-site UV detection, the analysis of the results is related to the subsequent processing measures. Currently, the UV detection results are presented in the form of UV images, and then assisted by indicators such as the number of UV photons, and further results such as discharge types cannot be given. Therefore, how to conduct further analysis conveniently and quickly according to the on-site test results, and give the discharge type is a key problem that needs to be solved at present.
发明内容Contents of the invention
本发明的目的之一是提供一种电气设备外部放电紫外检测分析方法,能够利用紫外图像处理并与预设图谱库进行量化对比从而准确给出放电类型的判断;One of the purposes of the present invention is to provide an ultraviolet detection and analysis method for the external discharge of electrical equipment, which can use ultraviolet image processing and quantitative comparison with the preset map library to accurately give the judgment of the discharge type;
本发明的目的之二是提供一种用于实现上述方法的装置。The second object of the present invention is to provide a device for realizing the above method.
一种电气设备外部放电紫外检测分析方法,其特别之处在于,包括如下步骤:An ultraviolet detection and analysis method for external discharge of electrical equipment, which is particularly characterized in that it includes the following steps:
a,首先,利用紫外成像仪对电气设备外部放电进行非接触式检测,并形成紫外放电图像;a, first, use the ultraviolet imager to conduct non-contact detection of the external discharge of the electrical equipment, and form an ultraviolet discharge image;
b,其次,将获得的紫外放电图像进行灰度处理,将彩色图片转化为二值灰度图像;b, secondly, grayscale processing is performed on the obtained ultraviolet discharge image, and the color picture is converted into a binary grayscale image;
c,然后,对二值灰度图像进行数学形态学滤波,获得清晰的紫外光斑二值灰度图谱;c, then, perform mathematical morphological filtering on the binary grayscale image to obtain a clear binary grayscale spectrum of ultraviolet light spots;
d,采用傅里叶描述子算法将滤波过后的清晰紫外光斑二值灰度图像与预设的典型放电紫外二值图像图谱库中的图像逐一进行量化比较;d, Using the Fourier descriptor algorithm to quantify and compare the filtered clear binary gray image of ultraviolet spots with the images in the preset typical discharge ultraviolet binary image library one by one;
e,根据比较结果,给出设备外部放电类型的判断结果。e. According to the comparison result, the judgment result of the external discharge type of the equipment is given.
步骤a中电气设备是指绝缘子或套管。The electrical equipment in step a refers to insulators or bushings.
步骤b中在将彩色图片转化为二值灰度图片时,首先将原始图片数字化,形成图像数字矩阵,然后将矩阵中的白色区域赋值为“1”,其余部分赋值为“0”,形成二值灰度图像。In step b, when converting a color image into a binary grayscale image, the original image is first digitized to form an image digital matrix, and then the white area in the matrix is assigned a value of "1", and the rest of the image is assigned a value of "0" to form a binary image. Value grayscale image.
步骤d中具体是将得到的清晰紫外光斑二值灰度图像与预设的图谱库中的典型放电类型图像逐一进行量化比较,得到两者的量化相似程度计算值,该值越小则判定两者相似程度越高。In step d, the binary grayscale image of the clear ultraviolet spot is quantitatively compared with the typical discharge type image in the preset atlas library one by one to obtain the calculated value of the quantitative similarity between the two. The higher the degree of similarity.
步骤d中预设的图谱库包括设备污秽放电、凝露放电、毛刺放电的典型二值灰度图像。The preset image library in step d includes typical binary grayscale images of equipment pollution discharge, condensation discharge, and glitch discharge.
一种电气设备外部放电紫外检测分析装置,其特别之处在于:包括用于对电气设备进行紫外图谱检测的检测模块,用于将检测得到的紫外图谱转化为清晰二值灰度图像的转换模块,用于将清晰二值灰度图像与预设的图谱库进行比较从而得到量化比较结果的比较模块,用于根据比较结果输出分析结果的输出模块,上述检测模块、转换模块、比较模块和输出模块依次连接。An ultraviolet detection and analysis device for external discharge of electrical equipment, which is special in that it includes a detection module for detecting the ultraviolet spectrum of electrical equipment, and a conversion module for converting the detected ultraviolet spectrum into a clear binary grayscale image , the comparison module used to compare the clear binary grayscale image with the preset map library to obtain the quantitative comparison result, the output module used to output the analysis result according to the comparison result, the above detection module, conversion module, comparison module and output Modules are connected sequentially.
经过试用证明,采用本发明的技术方案能够实现电气设备紫外检测中设备放电类型的判断,提高现场紫外检测和诊断的科学性、准确性和可靠性。It has been proven through trials that the technical scheme of the invention can realize the judgment of the equipment discharge type in the ultraviolet detection of electrical equipment, and improve the scientificity, accuracy and reliability of the on-site ultraviolet detection and diagnosis.
附图说明Description of drawings
附图1本发明电气设备外部放电紫外检测分析方法的流程示意图;Accompanying drawing 1 is the schematic flow sheet of electric equipment external discharge ultraviolet detection and analysis method of the present invention;
附图2为本发明电气设备外部放电紫外检测分析装置的示意图。Accompanying drawing 2 is the schematic diagram of the ultraviolet detection and analysis device for the external discharge of electrical equipment of the present invention.
具体实施方式Detailed ways
如图1所示,本发明提供了一种电气设备外部放电紫外检测分析方法,包括如下步骤:As shown in Figure 1, the present invention provides a kind of electric equipment external discharge ultraviolet detection and analysis method, comprises the following steps:
a,首先,利用紫外成像仪对电气设备外部放电进行非接触式检测,并形成紫外放电图像;a, first, use the ultraviolet imager to conduct non-contact detection of the external discharge of the electrical equipment, and form an ultraviolet discharge image;
b,其次,将获得的紫外放电图像进行灰度处理,将彩色图片转化为二值灰度图像;b, secondly, grayscale processing is performed on the obtained ultraviolet discharge image, and the color picture is converted into a binary grayscale image;
c,然后,对二值灰度图像进行数学形态学滤波,获得清晰的紫外光斑二值灰度图谱;c, then, perform mathematical morphological filtering on the binary grayscale image to obtain a clear binary grayscale spectrum of ultraviolet light spots;
d,采用傅里叶描述子算法将滤波过后的清晰紫外光斑二值灰度图像与预设的典型放电紫外二值图像图谱库中的图像逐一进行量化比较;d, Using the Fourier descriptor algorithm to quantify and compare the filtered clear binary gray image of ultraviolet spots with the images in the preset typical discharge ultraviolet binary image library one by one;
e,根据比较结果,给出设备外部放电类型的判断结果。e. According to the comparison result, the judgment result of the external discharge type of the equipment is given.
步骤a中电气设备是指绝缘子或套管。步骤b中在将彩色图片转化为二值灰度图片时,首先将原始图片数字化,形成图像数字矩阵,然后将矩阵中的白色区域赋值为“1”,其余部分赋值为“0”,形成二值灰度图像。步骤d中具体是将得到的清晰紫外光斑二值灰度图像与预设的图谱库中的典型放电类型图像逐一进行量化比较,得到两者的量化相似程度计算值,该值越小则判定两者相似程度越高。步骤d中预设的图谱库包括设备污秽放电、凝露放电、毛刺放电的典型二值灰度图像。The electrical equipment in step a refers to insulators or bushings. In step b, when converting a color image into a binary grayscale image, the original image is first digitized to form an image digital matrix, and then the white area in the matrix is assigned a value of "1", and the rest of the image is assigned a value of "0" to form a binary image. Value grayscale image. In step d, the binary grayscale image of the clear ultraviolet spot is quantitatively compared with the typical discharge type image in the preset atlas library one by one to obtain the calculated value of the quantitative similarity between the two. The higher the degree of similarity. The preset image library in step d includes typical binary grayscale images of equipment pollution discharge, condensation discharge, and glitch discharge.
如图2所示,本发明还提供了一种电气设备外部放电紫外检测分析装置,包括用于对电气设备进行紫外图谱检测的检测模块,用于将检测得到的紫外图谱转化为清晰二值灰度图像的转换模块,用于将清晰二值灰度图像与预设的图谱库进行比较从而得到量化比较结果的比较模块,用于根据比较结果输出分析结果的输出模块,上述检测模块、转换模块、比较模块和输出模块依次连接。上述模块可以是由软件完成的功能模块或者由微处理器结合软件完成的硬件模块。As shown in Figure 2, the present invention also provides an ultraviolet detection and analysis device for the external discharge of electrical equipment, including a detection module for detecting the ultraviolet spectrum of the electrical equipment, for converting the detected ultraviolet spectrum into a clear binary gray The conversion module of the high-degree image is used to compare the clear binary grayscale image with the preset map library to obtain the comparison module of the quantitative comparison result, and the output module is used to output the analysis result according to the comparison result. The above-mentioned detection module and conversion module , the comparison module and the output module are connected in sequence. The above-mentioned modules may be functional modules implemented by software or hardware modules implemented by a microprocessor combined with software.
本发明提供了一种电气设备外部放电紫外检测分析方法及装置,该方法首先将检测得到的电气设备紫外图像进行灰度转换,将彩色图片转化为二值灰度图像;然后对二值灰度图像进行数学形态学滤波,获得清晰的紫外光斑二值灰度图谱;采用傅里叶描述子算法将清晰的二值灰度图谱与预设的图谱库进行量化比较;根据比较结果进行设备外部放电类型的判断。The invention provides a method and device for detecting and analyzing ultraviolet rays from the external discharge of electrical equipment. The method firstly converts the detected ultraviolet images of electrical equipment into gray scales, and converts the color pictures into binary grayscale images; The image is filtered by mathematical morphology to obtain a clear binary grayscale spectrum of ultraviolet spots; the Fourier descriptor algorithm is used to quantitatively compare the clear binary grayscale spectrum with the preset spectrum library; the external discharge of the device is carried out according to the comparison results type of judgment.
实施例1:Example 1:
下面将结合附图,对本发明中的技术方案进行清楚、完整地描述。The technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings.
图1所示为本发明电气设备外部放电紫外检测分析方法流程示意图,所述方法包括如下步骤:Fig. 1 shows the schematic flow chart of the ultraviolet detection and analysis method for the external discharge of electrical equipment of the present invention, and the method comprises the following steps:
步骤1:利用紫外成像仪对绝缘子、套管等电气设备进行紫外检测,获得其紫外放电原始图像,所述原始图像为包含放电信号和干扰信号的彩色图像。Step 1: Use the ultraviolet imager to conduct ultraviolet detection on electrical equipment such as insulators and bushings, and obtain the original image of ultraviolet discharge. The original image is a color image including discharge signals and interference signals.
步骤2:将彩色原始图像进行灰度处理,将彩色图像转化为二值灰度图像。Step 2: Perform grayscale processing on the color original image, and convert the color image into a binary grayscale image.
具体的,首先将原始图片数字化,形成图像数字矩阵f(x,y),然后将矩阵中的白色区域赋值为“1”,其余部分赋值为“0”,形成二值灰度图像。Specifically, the original picture is first digitized to form an image digital matrix f(x, y), and then the white area in the matrix is assigned "1" and the rest is assigned "0" to form a binary grayscale image.
步骤3:对二值灰度图像进行数学形态学滤波,获得清晰的紫外光斑二值灰度图谱。图像数学形态学滤波为常用的图像去噪算法,为现有成熟算法,此处不再赘述。Step 3: Perform mathematical morphological filtering on the binary grayscale image to obtain a clear binary grayscale spectrum of ultraviolet light spots. Image mathematical morphological filtering is a commonly used image denoising algorithm, and it is an existing mature algorithm, so it will not be repeated here.
步骤4:将滤波过后的清晰二值灰度图像与预设的图谱库中的图像进行量化比较。预设图谱库包含该设备污秽放电、凝露放电及毛刺放电等不同典型放电类型的典型清晰二值灰度图像。采用傅里叶描述子算法依次计算待分析紫外清晰二值灰度图像和预设图谱库中典型放电类型紫外图像之间的相似程度计算值。傅里叶描述子算法是比较图像相似程度的成熟算法,此处不再赘述。Step 4: Quantitatively compare the filtered clear binary grayscale image with the images in the preset image library. The preset image library contains typical clear binary grayscale images of different typical discharge types such as pollution discharge, condensation discharge and glitch discharge of the equipment. The Fourier descriptor algorithm is used to sequentially calculate the similarity calculation value between the ultraviolet clear binary grayscale image to be analyzed and the typical discharge type ultraviolet image in the preset spectral library. The Fourier descriptor algorithm is a mature algorithm for comparing image similarity, and will not be described here.
步骤5:将相似程度计算值最小的预设图像所属放电类型进行输出,即为待检测紫外图像的放电类型。Step 5: Outputting the discharge type of the preset image with the smallest calculated similarity value, which is the discharge type of the ultraviolet image to be detected.
根据本发明的实施例,提供了一种电气设备外部放电紫外检测分析装置。According to an embodiment of the present invention, an ultraviolet detection and analysis device for external discharge of electrical equipment is provided.
图2是根据本发明实施例的电气设备外部放电紫外检测分析装置示意图。Fig. 2 is a schematic diagram of an ultraviolet detection and analysis device for external discharge of electrical equipment according to an embodiment of the present invention.
如图2所示,该装置包括:检测模块、转换模块、比较模块、判断模块。As shown in Figure 2, the device includes: a detection module, a conversion module, a comparison module, and a judgment module.
其中检测模块用于对电气设备外部放电进行紫外成像检测;转换模块用于将检测到的彩色图像转换为清晰二值灰度图像;比较模块用于将清晰二值灰度图像与预设图谱库中的典型放电类型清晰二值灰度图像进行量化比较;输出模块用于根据比较结果进行判断结果的输出。Among them, the detection module is used for ultraviolet imaging detection of the external discharge of electrical equipment; the conversion module is used to convert the detected color image into a clear binary grayscale image; the comparison module is used to compare the clear binary grayscale image with the preset map library The clear binary grayscale images of the typical discharge types are quantitatively compared; the output module is used to output the judgment results according to the comparison results.
以上所述,仅为本发明的具体实施方式,但本发明的保护范围并不局限于此,任何属于本技术领域的技术人员在本发明揭露的技术范围内,可轻易想到的变化或替换,都应涵盖在本发明的保护范围之内。因此,本发明的保护范围应该以权利要求的保护范围为准。The above is only a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto, any changes or substitutions that can be easily imagined by those skilled in the art within the technical scope disclosed in the present invention, All should be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be determined by the protection scope of the claims.
Claims (6)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410523123.3A CN104297645A (en) | 2014-09-30 | 2014-09-30 | Electrical equipment external discharging ultraviolet detection and analysis method and device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410523123.3A CN104297645A (en) | 2014-09-30 | 2014-09-30 | Electrical equipment external discharging ultraviolet detection and analysis method and device |
Publications (1)
Publication Number | Publication Date |
---|---|
CN104297645A true CN104297645A (en) | 2015-01-21 |
Family
ID=52317448
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201410523123.3A Pending CN104297645A (en) | 2014-09-30 | 2014-09-30 | Electrical equipment external discharging ultraviolet detection and analysis method and device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104297645A (en) |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106054032A (en) * | 2016-03-08 | 2016-10-26 | 华北电力大学(保定) | Non-contact measurement method for surface discharge pulse peak of high-voltage insulator |
CN107505546A (en) * | 2017-08-25 | 2017-12-22 | 国家电网公司 | A kind of method that corona discharge is monitored using ultraviolet imager |
CN108226727A (en) * | 2018-01-17 | 2018-06-29 | 南通尚力机电工程设备有限公司 | A kind of power equipment partial discharge monitoring method |
CN109030978A (en) * | 2018-06-02 | 2018-12-18 | 国网江苏省电力有限公司连云港供电分公司 | A kind of arrester health condition judging method based on VA characteristic curve analysis |
CN111352006A (en) * | 2020-03-27 | 2020-06-30 | 国网甘肃省电力公司电力科学研究院 | External insulation equipment real-time discharge intensity quantification and evaluation system based on ultraviolet imaging |
CN113298832A (en) * | 2021-07-02 | 2021-08-24 | 华北电力大学 | Discharge ultraviolet video quantization parameter extraction and display method and application thereof |
CN116840693A (en) * | 2023-06-30 | 2023-10-03 | 深圳市盛弘新能源设备有限公司 | Charge and discharge test control method and system based on artificial intelligence |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2013131948A1 (en) * | 2012-03-09 | 2013-09-12 | Alstom Technology Ltd | Method for recognising partial discharges emitted inside or outside an electrical apparatus |
CN103543393A (en) * | 2013-10-23 | 2014-01-29 | 国家电网公司 | Diagnostic method and detecting system for GIS partial discharge |
CN103630885A (en) * | 2013-11-07 | 2014-03-12 | 北京环境特性研究所 | Target identification method and system for SAR (synthetic aperture radar) |
CN103954897A (en) * | 2014-05-20 | 2014-07-30 | 电子科技大学 | Intelligent power grid high-voltage insulation damage monitoring system and method based on ultraviolet imaging |
-
2014
- 2014-09-30 CN CN201410523123.3A patent/CN104297645A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2013131948A1 (en) * | 2012-03-09 | 2013-09-12 | Alstom Technology Ltd | Method for recognising partial discharges emitted inside or outside an electrical apparatus |
CN103543393A (en) * | 2013-10-23 | 2014-01-29 | 国家电网公司 | Diagnostic method and detecting system for GIS partial discharge |
CN103630885A (en) * | 2013-11-07 | 2014-03-12 | 北京环境特性研究所 | Target identification method and system for SAR (synthetic aperture radar) |
CN103954897A (en) * | 2014-05-20 | 2014-07-30 | 电子科技大学 | Intelligent power grid high-voltage insulation damage monitoring system and method based on ultraviolet imaging |
Non-Patent Citations (3)
Title |
---|
戴日俊: ""基于紫外光信号的发电厂高压电气设备放电检测方法研究"", 《中国博士学位论文全文数据库工程科技Ⅱ辑》 * |
王胜辉等: "高压设备电晕紫外成像检测图像增强方法的研究", 《高压电器》 * |
靳贵平等: "紫外可见双光谱图像检测系统的研制", 《科学技术与工程》 * |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106054032A (en) * | 2016-03-08 | 2016-10-26 | 华北电力大学(保定) | Non-contact measurement method for surface discharge pulse peak of high-voltage insulator |
CN107505546A (en) * | 2017-08-25 | 2017-12-22 | 国家电网公司 | A kind of method that corona discharge is monitored using ultraviolet imager |
CN108226727A (en) * | 2018-01-17 | 2018-06-29 | 南通尚力机电工程设备有限公司 | A kind of power equipment partial discharge monitoring method |
CN109030978A (en) * | 2018-06-02 | 2018-12-18 | 国网江苏省电力有限公司连云港供电分公司 | A kind of arrester health condition judging method based on VA characteristic curve analysis |
CN111352006A (en) * | 2020-03-27 | 2020-06-30 | 国网甘肃省电力公司电力科学研究院 | External insulation equipment real-time discharge intensity quantification and evaluation system based on ultraviolet imaging |
CN113298832A (en) * | 2021-07-02 | 2021-08-24 | 华北电力大学 | Discharge ultraviolet video quantization parameter extraction and display method and application thereof |
CN113298832B (en) * | 2021-07-02 | 2024-02-02 | 华北电力大学 | Discharge ultraviolet video quantization parameter extraction and display method and application thereof |
CN116840693A (en) * | 2023-06-30 | 2023-10-03 | 深圳市盛弘新能源设备有限公司 | Charge and discharge test control method and system based on artificial intelligence |
CN116840693B (en) * | 2023-06-30 | 2024-03-19 | 深圳市盛弘新能源设备有限公司 | Charge and discharge test control method and system based on artificial intelligence |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104297645A (en) | Electrical equipment external discharging ultraviolet detection and analysis method and device | |
CN106940886A (en) | A kind of electrical equipment electric discharge ultraviolet imagery quantization parameter extracting method based on gray scale | |
CN106054032B (en) | Non-contact measurement method for high-voltage insulator surface discharge pulse peak value | |
CN106950472B (en) | insulator detection method based on infrared and ultraviolet imaging | |
CN103744005A (en) | Discharging strength conversion method based on ultraviolet imaging method | |
CN104730079B (en) | Defect detecting system | |
CN108072667A (en) | Insulator contamination level detection method and system based on EO-1 hyperion | |
CN103018640A (en) | Method for testing electricity discharge intensity of corona on surface of high-voltage insulator | |
JP6234044B2 (en) | Exterior material deterioration judging method and judging device | |
CN107014819A (en) | A kind of solar panel surface defects detection system and method | |
CN106600602B (en) | Based on cluster adaptive windows hyperspectral image abnormal detection method | |
CN104267063A (en) | Low-value insulator detection method based on infrared thermography | |
CN109754019B (en) | A Method for Continuous Monitoring of Boiler Combustion Condition | |
CN104346626A (en) | Online Pattern Recognition Method of SF6 Gas Leakage Based on Image Recognition | |
CN103674968A (en) | Method and device for evaluating machine vision original-value detection of exterior corrosion appearance characteristics of material | |
CN104331701A (en) | Insulator external discharge mode identification method based on ultraviolet map | |
CN111443264A (en) | Corona discharge intensity identification method, system and storage medium based on corona ultraviolet imaging equipment | |
CN110261740A (en) | A kind of ultraviolet imagery discharge detection method and device | |
Chavan et al. | Quality control of PCB using image processing | |
CN108346592B (en) | Method and device for simulating defects on back of wafer | |
CN105606610A (en) | Bio-speckle technology based method for nondestructive detection of apple internal quality | |
JP6525837B2 (en) | Product defect detection method | |
Iruansi et al. | An active contour approach to water droplets segmentation from insulators | |
CN108362227A (en) | Wheel hub detection method, device, system and control device | |
CN105957061A (en) | A Threshold Map Making and Image Detection Method for Screw Crown Caps |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20150121 |