CN104833430A - Infrared imaging monitoring system based on uncooled infrared detector - Google Patents
Infrared imaging monitoring system based on uncooled infrared detector Download PDFInfo
- Publication number
- CN104833430A CN104833430A CN201510184240.6A CN201510184240A CN104833430A CN 104833430 A CN104833430 A CN 104833430A CN 201510184240 A CN201510184240 A CN 201510184240A CN 104833430 A CN104833430 A CN 104833430A
- Authority
- CN
- China
- Prior art keywords
- image
- infrared
- monitoring system
- infrared detector
- detection image
- 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
- 238000012544 monitoring process Methods 0.000 title claims abstract description 32
- 238000003331 infrared imaging Methods 0.000 title claims abstract description 19
- 238000001514 detection method Methods 0.000 claims abstract description 34
- 239000003623 enhancer Substances 0.000 claims abstract description 12
- 230000011218 segmentation Effects 0.000 claims abstract description 10
- 238000000034 method Methods 0.000 claims description 8
- 238000005057 refrigeration Methods 0.000 claims 2
- 230000001737 promoting effect Effects 0.000 claims 1
- 239000000428 dust Substances 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 238000004804 winding Methods 0.000 description 3
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 2
- 229910052799 carbon Inorganic materials 0.000 description 2
- 230000002708 enhancing effect Effects 0.000 description 2
- 238000013021 overheating Methods 0.000 description 2
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical group [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000008030 elimination Effects 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000779 smoke Substances 0.000 description 1
Landscapes
- Photometry And Measurement Of Optical Pulse Characteristics (AREA)
- Radiation Pyrometers (AREA)
Abstract
一种基于非制冷红外探测器的红外成像监测系统，涉及电气故障监测技术领域，其特征在于：包括非制冷焦平面陈列红外探测器、图像处理器和显示器所述图像处理器用于对所述非制冷焦平面陈列红外探测器生成的探测图像进行处理，形成清晰、显著、易于观测探测结果的图像，所述显示器用于显示经所述图像处理器处理后的图像，所述图像处理器包括非均匀性校正电路、数字图像细节增强器、红外图像直方图分段修正器和无效灰度剔除的红外图像对比度增强器。本发明结构合理、基于非制冷红外探测器的红外成像监测系统，其能够穿透灰尘、烟雾、雨雪和黑暗，提供完美的图像；且其能够提供清晰的图像。
An infrared imaging monitoring system based on an uncooled infrared detector, which relates to the technical field of electrical fault monitoring, is characterized in that it includes an uncooled focal plane array infrared detector, an image processor and a display. The image processor is used to monitor the uncooled The detection image generated by the refrigerated focal plane array infrared detector is processed to form a clear, remarkable image that is easy to observe the detection result. The display is used to display the image processed by the image processor. The image processor includes non- A uniformity correction circuit, a digital image detail enhancer, an infrared image histogram segmentation corrector and an infrared image contrast enhancer for eliminating invalid gray levels. The invention has a reasonable structure and an infrared imaging monitoring system based on an uncooled infrared detector, which can penetrate dust, smog, rain, snow and darkness to provide perfect images; moreover, it can provide clear images.
Description
技术领域： Technical field:
本发明涉及电气故障监测技术领域，具体涉及一种基于非制冷红外探测器的红外成像监测系统。 The invention relates to the technical field of electrical fault monitoring, in particular to an infrared imaging monitoring system based on an uncooled infrared detector.
背景技术： Background technique:
当前的电气装置、变压器、连接器、镇流器等普遍存在接头松动或接触不良，导致出现不平衡负荷、过载、过热等隐患的出现。电动机、发电机则经常出现轴承温度过高，绕组短路或开路，碳刷、滑环和集流环发热，过载过热，冷却管路堵塞等问题。而有毛病的轴承可以引起铁芯或绕组圈的损坏，有毛病的碳刷则可以损坏滑环和集流环，进而损坏绕组线圈，还可能引起驱动目标的损坏。 Current electrical devices, transformers, connectors, ballasts, etc. generally have loose joints or poor contact, resulting in hidden dangers such as unbalanced load, overload, and overheating. Motors and generators often have problems such as high bearing temperature, short circuit or open circuit of windings, heating of carbon brushes, slip rings and collector rings, overload and overheating, and blockage of cooling pipes. Faulty bearings can cause damage to the iron core or winding rings, and faulty carbon brushes can damage slip rings and collector rings, thereby damaging the winding coils, and may also cause damage to the driving target.
为了预防这些问题的出现，需要对这些设备进行有效地监测，使得在设备发生故障之前就能够快速、准确、安全的发现故障。目前所使用的监测设备通常都是采用信号采集的方式，从而难以准确地获得故障的地点及原因。也有一些监测设备使用图像的方式进行监测，但是，现有监测设备的成像方法需要具有较好的光照条件，在灰尘、烟雾、雨雪和黑暗等环境中往往难以有效成像，从而不利于进行监测。此外，现有监测设备无法对监测的图像进行有效地分析和处理，导致判断故障的效率低下。 In order to prevent the emergence of these problems, it is necessary to effectively monitor these devices, so that the faults can be found quickly, accurately and safely before the equipment fails. The currently used monitoring equipment usually adopts the method of signal acquisition, so it is difficult to accurately obtain the location and cause of the fault. There are also some monitoring equipment that use images for monitoring. However, the imaging methods of existing monitoring equipment need to have better lighting conditions, and it is often difficult to effectively image in environments such as dust, smoke, rain, snow, and darkness, which is not conducive to monitoring. . In addition, the existing monitoring equipment cannot effectively analyze and process the monitored images, resulting in low efficiency in judging faults.
因此，目前迫切需要一种能够在恶劣条件下高质量地成像，且能够高效、高质量地确定故障所在的监测系统。 Therefore, there is an urgent need for a monitoring system that can image with high quality under harsh conditions and determine where the fault is located with high efficiency and high quality.
发明内容： Invention content:
本发明所要解决的技术问题在于克服现有的技术缺陷提供一种结构合理、基于非制冷红外探测器的红外成像监测系统，其能够穿透灰尘、烟雾、雨雪和黑暗，提供完美的图像；且其能够提供清晰的图像的一种基于非制冷 红外探测器的红外成像监测系统。 The technical problem to be solved by the present invention is to overcome the existing technical defects and provide an infrared imaging monitoring system with a reasonable structure and based on an uncooled infrared detector, which can penetrate dust, smog, rain, snow and darkness, and provide perfect images; And it is an infrared imaging monitoring system based on an uncooled infrared detector that can provide clear images.
本发明所要解决的技术问题采用以下的技术方案来实现： Technical problem to be solved by the present invention adopts following technical scheme to realize:
一种基于非制冷红外探测器的红外成像监测系统，其特征在于：包括非制冷焦平面陈列红外探测器、图像处理器和显示器； An infrared imaging monitoring system based on an uncooled infrared detector, characterized in that it includes an uncooled focal plane array infrared detector, an image processor and a display;
所述图像处理器用于对所述非制冷焦平面陈列红外探测器生成的探测图像进行处理，形成清晰、显著、易于观测探测结果的图像，所述显示器用于显示经所述图像处理器处理后的图像； The image processor is used to process the detection image generated by the uncooled focal plane array infrared detector to form a clear, remarkable and easy-to-observe detection result image, and the display is used to display the image processed by the image processor Image;
所述图像处理器包括非均匀性校正电路、数字图像细节增强器、红外图像直方图分段修正器和无效灰度剔除的红外图像对比度增强器； The image processor includes a non-uniformity correction circuit, a digital image detail enhancer, an infrared image histogram segmentation corrector and an infrared image contrast enhancer for invalid grayscale elimination;
所述非均匀性校正电路用于对所述探测图像进行非均匀性校正，使得所述探测图像的整个画面的不均匀性<0.05； The non-uniformity correction circuit is used to perform non-uniformity correction on the detection image, so that the non-uniformity of the entire screen of the detection image is <0.05;
所述数字图像细节增强器用于提升所述探测图像的细节，便于识别所述探测图像的细节； The digital image detail enhancer is used to enhance the details of the detection image, so as to identify the details of the detection image;
所述红外图像直方图分段修正器用于对所述探测图像进行分段修正，以保证获得的探测图像的真实性； The infrared image histogram segmentation corrector is used to perform segmentation correction on the detection image, so as to ensure the authenticity of the obtained detection image;
所述无效灰度剔除的红外图像对比度增强器用于剔除所述探测图像的无效灰度，从而增强所述探测图像的对比度。 The infrared image contrast enhancer for eliminating invalid gray levels is used to eliminate invalid gray levels of the detection image, thereby enhancing the contrast of the detection image.
本发明的有益效果为：本发明所述的基于非制冷红外探测器的红外成像监测系统能够在设备发生故障之前，快速、准确、安全地发现故障。在一个电气接点发生故障之前及时发现并进行维修，可以节省或避免因此造成的生产停工、产量下降、能源损耗、火灾甚至灾难性故障所带来的高昂代价。同时，其图像清晰，监测效果好。 The beneficial effects of the present invention are: the infrared imaging monitoring system based on the uncooled infrared detector of the present invention can quickly, accurately and safely find faults before equipment faults occur. Detecting and repairing an electrical contact failure before it fails can save or avoid costly production downtime, reduced output, energy loss, fire, and even catastrophic failure. At the same time, the image is clear and the monitoring effect is good.
附图说明： Description of drawings:
图1是本发明的基于非制冷红外探测器的红外成像监测系统的示意图。 Fig. 1 is a schematic diagram of an infrared imaging monitoring system based on an uncooled infrared detector of the present invention.
图2是本发明的基于非制冷红外探测器的红外成像监测系统的图像处理器的示意图。 Fig. 2 is a schematic diagram of the image processor of the infrared imaging monitoring system based on the uncooled infrared detector of the present invention.
具体实施方式： Detailed ways:
为了使本发明实现的技术手段、创作特征、达成目的与功效易于明白了解，下面结合具体图示，进一步阐述本发明。 In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific illustrations.
图1示出了本发明的基于非制冷红外探测器的红外成像监测系统的示意图。如图1所示，所述基于非制冷红外探测器的红外成像监测系统包括非制冷焦平面陈列红外探测器1、图像处理器2和显示器3。其中，所述非制冷焦平面陈列红外探测器1用于对监测部位进行红外探测从而生成探测图像。所述图像处理器2用于对所述非制冷焦平面陈列红外探测器1生成的探测图像进行处理，形成清晰、显著、易于观测探测结果的图像。所述显示器3用于显示经所述图像处理器2处理后的图像。在本发明中，由于使用了非制冷焦平面陈列红外探测器1，所以其能够在灰尘、烟雾、雨雪和黑暗的情况下进行红外成像，从而便于在恶劣天气情况下进行监测。由于所述图像处理器2的存在，有助于对图像进行处理，从而提供完美的图像。所述显示器3优选为高清显示器，从而便于显示监测图像，从而有助于及时发现问题。 Fig. 1 shows a schematic diagram of an infrared imaging monitoring system based on an uncooled infrared detector of the present invention. As shown in FIG. 1 , the infrared imaging monitoring system based on an uncooled infrared detector includes an uncooled focal plane array infrared detector 1 , an image processor 2 and a display 3 . Wherein, the uncooled focal plane array infrared detector 1 is used to perform infrared detection on the monitoring site so as to generate a detection image. The image processor 2 is used to process the detection image generated by the uncooled focal plane array infrared detector 1 to form a clear, remarkable image that is easy to observe the detection result. The display 3 is used to display the image processed by the image processor 2 . In the present invention, since the uncooled focal plane array infrared detector 1 is used, it can perform infrared imaging in dust, smog, rain, snow and darkness, thereby facilitating monitoring in severe weather conditions. Due to the existence of the image processor 2, it is helpful to process the image, so as to provide a perfect image. The display 3 is preferably a high-definition display, so as to facilitate the display of monitoring images, thereby helping to find problems in time.
图2示出了本发明的基于非制冷红外探测器的红外成像监测系统的图像处理器的示意图。如图2所示，所述图像处理器2包括非均匀性校正电路、数字图像细节增强器、红外图像直方图分段修正器和无效灰度剔除的红外图像对比度增强器。其中，所述非均匀性校正电路用于对所述探测图像进行非均匀性校正，使得所述探测图像的整个画面的不均匀性<0.05。由于所述非均匀性校正电路的存在，使得整个画面的不均匀性<0.05，无需TEC稳定工作温度，在工作温度范围内，具有良好的图像均匀性和动态范围。所述图像细节增强器用于提升所述探测图像的细节，便于识别所述探测图像的细节，从而提升监测效果。所述红外图像直方图分段修正器用于对所述探测图像进行分段修正，以保证获得的探测图像的真实性。所述无效灰度剔除的红外图像对比度增强器用于剔除所述探测图像的无效灰度，从而增强所述探测图像的对比度。 Fig. 2 shows a schematic diagram of the image processor of the infrared imaging monitoring system based on the uncooled infrared detector of the present invention. As shown in FIG. 2 , the image processor 2 includes a non-uniformity correction circuit, a digital image detail enhancer, an infrared image histogram segmentation corrector and an infrared image contrast enhancer for eliminating invalid gray levels. Wherein, the non-uniformity correction circuit is used for performing non-uniformity correction on the detection image, so that the non-uniformity of the entire frame of the detection image is <0.05. Due to the existence of the non-uniformity correction circuit, the non-uniformity of the whole picture is less than 0.05, no TEC is required to stabilize the working temperature, and within the working temperature range, it has good image uniformity and dynamic range. The image detail enhancer is used to enhance the details of the detection image, so as to facilitate the identification of the details of the detection image, thereby improving the monitoring effect. The infrared image histogram segmentation corrector is used to perform segmentation correction on the detection image, so as to ensure the authenticity of the obtained detection image. The infrared image contrast enhancer for eliminating invalid gray levels is used to eliminate invalid gray levels of the detection image, thereby enhancing the contrast of the detection image.
以上显示和描述了本发明的基本原理和主要特征和本发明的优点。本行业的技术人员应该了解，本发明不受上述实施例的限制，上述实施例和说明书中描述的只是说明本发明的原理，在不脱离本发明精神和范围的前提下， 本发明还会有各种变化和改进，这些变化和改进都落入要求保护的本发明范围内。本发明要求保护范围由所附的权利要求书及其等效物界定。 The basic principles and main features of the present invention and the advantages of the present invention have been shown and described above. Those skilled in the art should understand that the present invention is not limited by the above-mentioned embodiments, and that described in the above-mentioned embodiments and the specification only illustrates the principle of the present invention, and the present invention will also have other functions without departing from the spirit and scope of the present invention. Variations and improvements are possible, which fall within the scope of the claimed invention. The protection scope of the present invention is defined by the appended claims and their equivalents.
Claims (5)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510184240.6A CN104833430A (en) | 2015-04-17 | 2015-04-17 | Infrared imaging monitoring system based on uncooled infrared detector |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510184240.6A CN104833430A (en) | 2015-04-17 | 2015-04-17 | Infrared imaging monitoring system based on uncooled infrared detector |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104833430A true CN104833430A (en) | 2015-08-12 |
Family
ID=53811457
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510184240.6A Pending CN104833430A (en) | 2015-04-17 | 2015-04-17 | Infrared imaging monitoring system based on uncooled infrared detector |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104833430A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111060205A (en) * | 2020-01-14 | 2020-04-24 | 杭州中为电子科技有限公司 | Generator carbon brush infrared thermal image intelligent analysis system and prediction method thereof |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6476391B1 (en) * | 1998-11-23 | 2002-11-05 | Evan Y. W. Zhang | Infrared imaging system for advanced rescue vision system |
| CN201527306U (en) * | 2009-09-27 | 2010-07-14 | 中国电子科技集团公司第十一研究所 | Dynamically detecting system for infrared focal plane detector component |
| CN102538973A (en) * | 2011-12-31 | 2012-07-04 | 南京理工大学 | Rapidly converged scene-based non-uniformity correction method |
| CN102589707A (en) * | 2012-02-29 | 2012-07-18 | 华中光电技术研究所中国船舶重工集团公司第七一七研究所 | Real-time compensation method of non-uniformity correction residual errors of infrared focal plane array detector |
| CN203072055U (en) * | 2013-01-16 | 2013-07-17 | 北京金宝康科技有限公司 | Night vision device |
-
2015
- 2015-04-17 CN CN201510184240.6A patent/CN104833430A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6476391B1 (en) * | 1998-11-23 | 2002-11-05 | Evan Y. W. Zhang | Infrared imaging system for advanced rescue vision system |
| CN201527306U (en) * | 2009-09-27 | 2010-07-14 | 中国电子科技集团公司第十一研究所 | Dynamically detecting system for infrared focal plane detector component |
| CN102538973A (en) * | 2011-12-31 | 2012-07-04 | 南京理工大学 | Rapidly converged scene-based non-uniformity correction method |
| CN102589707A (en) * | 2012-02-29 | 2012-07-18 | 华中光电技术研究所中国船舶重工集团公司第七一七研究所 | Real-time compensation method of non-uniformity correction residual errors of infrared focal plane array detector |
| CN203072055U (en) * | 2013-01-16 | 2013-07-17 | 北京金宝康科技有限公司 | Night vision device |
Non-Patent Citations (1)
| Title |
|---|
| 屈惠明: "红外成像电子学理论及其关键技术研究", 《中国博士学位论文全文数据库 信息科技辑》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111060205A (en) * | 2020-01-14 | 2020-04-24 | 杭州中为电子科技有限公司 | Generator carbon brush infrared thermal image intelligent analysis system and prediction method thereof |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103487729B (en) | Based on the power equipments defect detection method that ultraviolet video and infrared video merge | |
| CN104408459A (en) | Image identification method applied to power equipment monitoring | |
| CN106680285B (en) | Method for recognizing insulator contamination state based on infrared image assisted visible light image | |
| CN105092598A (en) | Method and system for rapidly recognizing defects of big-breadth PCB on basis of connected areas | |
| CN103412246B (en) | Based on the Automatic detection method of abnormal discharge of power equipment of ultraviolet video | |
| CN106093069A (en) | A kind of monitoring method of the filthy fault of High-Voltage Insulation substring insulation | |
| CN108257138A (en) | A kind of porcelain insulator FRACTURE CHARACTERISTICS detection method based on edge detection | |
| CN105891687A (en) | Online insulator detection method based on disc surface and steel cap temperature features | |
| CN103698676A (en) | Method and system for evaluating corona discharge of power transmission and transformation equipment | |
| CN115294031A (en) | Photovoltaic module fault image identification method based on infrared thermal imaging analysis | |
| CN113487563B (en) | An adaptive detection method for photovoltaic module cracks based on EL images | |
| CN100469138C (en) | State recognition method of power transformer fan based on video monitoring and image recognition | |
| CN105427316B (en) | Insulator single-deck face extracting method in a kind of transmission line of electricity visible images | |
| CN111866501B (en) | Camera module detection method and device, electronic equipment and medium | |
| CN102540025B (en) | Ultraviolet photon counting method based on width ratio module | |
| CN104833430A (en) | Infrared imaging monitoring system based on uncooled infrared detector | |
| CN108061847A (en) | Dry-type reactor epoxy resin insulating medium cracking detection method | |
| JP5792671B2 (en) | Abnormality detection method and abnormality detection device | |
| CN110689522A (en) | System and method for measuring the thickness of each layer of cable based on binocular machine vision | |
| CN107545564A (en) | Grid power transmission circuit insulator umbrella defect inspection method | |
| Lin et al. | Automatic display temperature range adjustment for electrical equipment infrared thermal images | |
| CN105096309B (en) | Edge detection method and device based on X-ray | |
| JP5243486B2 (en) | Cable position detection device, cable position detection method, and cable position detection program | |
| KR102587679B1 (en) | Solar panel abnormality detection device and method thereof | |
| CN105184791A (en) | Power transmission line video image insulator positioning method |
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: 20150812 |