CN202676156U - Electric transmission line condition monitoring system based on target image identification and benchmark measurement - Google Patents
Electric transmission line condition monitoring system based on target image identification and benchmark measurement Download PDFInfo
- Publication number
- CN202676156U CN202676156U CN 201220179748 CN201220179748U CN202676156U CN 202676156 U CN202676156 U CN 202676156U CN 201220179748 CN201220179748 CN 201220179748 CN 201220179748 U CN201220179748 U CN 201220179748U CN 202676156 U CN202676156 U CN 202676156U
- Authority
- CN
- China
- Prior art keywords
- target
- image
- processing system
- identification
- video camera
- 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.)
- Expired - Fee Related
Links
Images
Landscapes
- Length Measuring Devices By Optical Means (AREA)
- Electric Cable Installation (AREA)
- Image Analysis (AREA)
Abstract
The utility model discloses an electric transmission line condition monitoring system based on target image identification and benchmark measurement. The electric transmission line condition monitoring system based on the target image identification and the benchmark measurement comprises a target, a video camera, an image processing system, and a computer processing system, wherein the target is installed on a wire, the video camera and the image processing system are installed on a pole tower, and the computer processing system is installed in a remote monitoring center. The video camera corresponds to the target, an output end of the video camera is connected with an input end of the image processing system, and an output end of the image processing system is connected with an input end of the computer processing system. The number of installation devices is small, non-contact measurement is achieved through direct physical size measurement, and the target is used, so that accurate imagelocation identification of monitored objects can be achieved. Advanced image processing and identification technology on a back end of the system is used, the identification rate and the accuracy rate of an aim are increased, and a target center origin coordinate value which is accurate to pixel-level is used as a datum point of position movement for the monitored objects, so that quantitative measurement of the electric transmission line condition based on the image identification is achieved.
Description
Technical field
The utility model relates to a kind of based on the identification of target target image and reference measurement power transmission state monitoring system, belongs to power transmission state monitoring systems technology field.
Background technology
The power transmission state monitoring system comprises conducting wire sag, wire icing, shaft tower inclination, wire windage yaw, conductor galloping, lead channels safety zone and the miniature meteorology of circuit etc., present existing monitoring method mostly is sensor installation on shaft tower and circuit, detection line and shaft tower data are delivered to monitoring center by wireless network and carry out the real time monitoring early warning in real time.
The existing method that usually adopts based on the power transmission state monitoring system of image recognition is: wire and insulator image are carried out through image collection, image processing and identification, extract wire and insulator figure in the image, calculate relative position coordinates.This method is in the complex background situation, such as dense fog, sand and dust, ice and snow, in the image that collects under the background environments such as dim light and chaotic scenery, circuit or insulator and on every side background incorporate together, lack obvious feature, be difficult to extract, identification brings very large difficulty to target image, although about image process and Feature Extraction Technology on done a large amount of also very fruitful image algorithm research and practice, but all be based on afterwards treating method, in the algorithm with pixel compensation, the afterwards technical finesse means such as fuzzy rule reasoning and image registration, the raising of accuracy and reliability all depends on the empirical data statistics and analysis, so that existing power transmission state monitoring system based on image recognition only is qualitative monitoring.
The utility model content
The purpose of this utility model is: provide a kind of based on the identification of target target image and reference measurement power transmission state monitoring system, replace sensor-based measurement means, solve the technical matters that existing detection system is merely able to qualitative monitoring, thereby can effectively solve above-mentioned problems of the prior art.
The purpose of this utility model is to realize by following technical proposals: a kind of based on the identification of target target image and reference measurement power transmission state monitoring system, comprise the target that is installed on the wire, be installed in video camera and image processing system on the shaft tower, be installed in the computer processing system of remote monitoring center, described video camera is corresponding with target, the output terminal of video camera links to each other with the input end of image processing system, and the output terminal of image processing system links to each other with the input end of computer processing system.
As a kind of optimal way, wherein: the distance between described target and the video camera is less than or equal to 120m.
As a kind of optimal way, wherein: described image processing system comprises image capture module, image memory module, image processing module, picture recognition module.
As optimal way, described computer processing system comprises data processing module, data memory module, data transmission module, state recognition module, state warning module and state display module.
As optimal way, described target comprises active target and passive target.
As optimal way, described target is that the bottom surface is to have the square of white reflection ring in the middle of the black floor.
Compared with prior art, the beneficial effects of the utility model: the utility model is based on the identification of target target image and reference measurement power transmission state monitoring system, erecting equipment is few, the direct physical dimensional measurement, realize non-cpntact measurement, employing is articulated in a destination apparatus target on wire and the insulator, locating device as wire and insulator position, mount the target target at monitored transmission line of electricity or insulator, the transmission line of electricity or the wire image that under complex background and abominable weather condition, collect, because the shape facility of target uniqueness, so that monitored target can be realized accurately framing identification, utilize rear end advanced person's image to process and recognition technology, discrimination and the rate of precision of target have been improved, and with the Target Center round dot coordinate figure that the is accurate to Pixel-level reference point as the monitored target position movement, thereby realized quantitative measurment based on the transmission line status of image recognition.
Description of drawings
Fig. 1 is that the utility model is based on the modular structure schematic diagram of target target image identification with reference measurement power transmission state monitoring system;
Fig. 2 is the structural representation of target;
Fig. 3 is the schematic diagram after target is installed.
Embodiment
Below in conjunction with specific embodiments and the drawings the utility model is further described.
Disclosed all features in this instructions, or the step in disclosed all methods or the process, except the speciality and/or step of mutual repulsion, all can make up by any way, unless special narration all can be replaced by other equivalences or the alternative features with similar purpose, namely, unless special narration, an embodiment in a series of equivalences of each feature or the similar characteristics.
As shown in Figure 1, the utility model is based on the identification of target target image and reference measurement power transmission state monitoring system, be divided into front-end and back-end, front end image acquisition and position-recognizing system 5 comprise target 1, video camera 2 and image processing system 3, and rear end state recognition and demonstration early warning 6 comprise computer processing system 4.Target 1 is installed on the wire, video camera 2 and image processing system 3 is installed on the shaft tower, computer processing system 4 is installed in remote monitoring center.Described video camera 2 is corresponding with target 1, and the distance between described target 1 and the video camera 2 is less than or equal to 120m.The output terminal of video camera 2 links to each other with the input end of image processing system 3, and the output terminal of image processing system 3 links to each other with the input end of computer processing system 4.Described image processing system 3 comprises image capture module 31, image memory module 32, image processing module 33, picture recognition module 34; Described computer processing system 4 comprises data processing module 41, data memory module 42, data transmission module 43, state recognition module 44, state warning module 45 and state display module 46.
Video camera carries out video capture to the target that is articulated on the wire in real time or regularly, and video data directly sends to image processing system, and image processing system carries out frame data to video stream data to be processed.According to special algorithm, obtain the relative coordinate position data of Target Center point in picture, then send to long-range background data center by network, the background data center basis is on-the-spot preset value data in advance, obtain the line status data according to special algorithm, such as conducting wire sag, wire angle of wind deflection, conductor galloping amplitude and frequency etc., these data are shown in real time and carry out early warning according to the threshold values that sets in advance.
As shown in Figure 2, target 1 is as the locating device of wire and insulator position, the similar target of target, whole target surface size is square, and is made of aluminum, whole target surface base plate color after oxidation processes is all black base plate, according to visual effect, as required, target divides two kinds of active target and passive targets, passive target target surface pattern on the camera direction is comprised of white annulus and centre dot, white reflectorized material coating.Active target, on white annulus and central point, the infrared LED lamp of low-power consumption is installed, the Digital Circuit Control of LED lamp on target sent infrared invisible light, in the time of night, under Digital Circuit Control, can automatically send the stroboscopic infrared light, adopt the high-energy battery power supply, can provide 3 years non-maintaining.For low-power consumption, adopt the bright mode of stroboscopic, the induction electricity getting device is adopted in the target power supply, obtains electric energy from high-voltage conducting wires.White reflection material and LED lamp can provide obvious sensation target to the ccd video camera of installing on the shaft tower.Mount the target target at monitored transmission line of electricity or insulator, the transmission line of electricity or the wire image that under complex background and abominable weather condition, collect, because the shape facility of target uniqueness, so that monitored target can be realized accurately framing identification, recycling rear end advanced person's image is processed and recognition technology, discrimination and the rate of precision of target have greatly been improved, and with the Target Center round dot coordinate figure that the is accurate to Pixel-level reference point as the monitored target position movement, thereby realized transmission line status such as conducting wire sag based on image recognition, wire icing, shaft tower tilts, the wire windage yaw, conductor galloping, the quantitative measurment of lead channels safety zone etc.
As shown in Figure 3, target 1 hanger is no more than 120 meters distances apart from the ccd video camera 2 on the shaft tower on wire, and as required, ccd video camera adopts the focal length 720P high-definition camera far away more than or equal to 120mm.Photo resolution is higher, and discrimination is higher.The video camera electric power system adopts the wind light mutual complementing power supply.
Before after installing, formally using in real time, must obtain field erected normal pictures, must physical measurement on this normal pictures to Target Center point apart from the distance of the ground reference point normal data as conducting wire sag, and in the photo deviation angle initial value about Target Center point range vertical as wire windage yaw and the normal data waved.
Employing is based on the image processing algorithm of vision noticing mechanism, beginning, then the high clear colorful original image that arrives of Real-time Collection is by after the adjusting of tone, saturation degree and brightness, again by Fourier transform, then pounce on and carry out carrying out again after the Fourier inversion that tone is significantly schemed, saturation degree is significantly schemed and brightness realizes that significantly carrying out the result behind the comprehensive remarkable figure cuts apart behind the figure after irregular.
The realization principle of conducting wire sag real time monitoring: beginning, input lead benchmark image, real-time image acquisition, initial sag f
0, the target annulus outside diameter D, then base gives the image pre-service of vision noticing mechanism, according to image binaryzation, target extraction, signature analysis, automatic lifting takes out the target annulus in benchmark image and the realtime graphic, realization is to the location of target, and calculates the outside diameter d of target annulus in the image, and then according to positioning result, automatically search and calculate center point coordinate O(X, the Y of target in the benchmark image) and realtime graphic in the center point coordinate O of target
1(x
1, y
1), last according to initial sag f
0, O(x, y) and O
1(x
1, y
1) determine real-time image acquisition guiding sag f constantly
1=f
0+ (y-y
1) D/d.
Conducting wire sag refers to span minimum point height overhead.Be articulated in target on the wire, can be installed in apart from shaft tower according to actual conditions and to be no more than on 120 meters the lead location, at first record target true altitude overhead, as reference data, video camera is in real time such as per 1 minute or timing ratio such as per 60 minutes collection video datas, process through video requency frame data, frame picture Target Center point is carried out location recognition, obtain Target Center and put the position coordinates of relative photo, compare with the position coordinates of former reference picture again and obtain alternate position spike, thereby can obtain the conducting wire sag data.
Wire windage yaw and wave the realization principle: beginning, all windage yaw image I 1 ~ In that gather in input a period of time, whenever pixel is subtracted each other by gray-scale value under adjacent two width of cloth image correspondence image coordinates, its absolute value of asking, as the pixel value in the new images, then will process the formation image I by the pixel extraction of the maximum gradation value under the respective coordinates in every width of cloth new images, image I is carried out Dynamic Binarization form bianry image, to this bianry image from bottom to top, search from left to right continuous gray-scale value and be 255 pixel, as the difference h of the maximal and minmal value of these pixels y direction coordinate during greater than set-point, then on the wire of the coordinate of these pixels when the full swing amplitude, if the coordinate set of these pixels is U1, from bottom to top in like manner, the coordinate set of searching from right to left the pixel that obtains is U2; To former collection image, obtain comprising the bianry image on wire border by edge detection and image binaryzation; The gray-scale value of searching respectively respective coordinates place in every width of cloth bianry image according to coordinate set U1 is 255 number of pixels, if greater than set-point, judge that then current bianry image M1 is amplitude of oscillation maximum pixel, algorithm when detecting according to the image icing obtains the center line L1 of wire, in like manner, search successively the center line L2 that obtains wire among another sub-picture M2 that gathers recently with M1 according to U2.
Windage yaw angle and wave amplitude, all with the video camera Real-time Collection to frame picture Target Center point position coordinates in the reference base picture when installing compare, can obtain.
Calculate the full swing angle of wire in conjunction with the wire center line L in L1, L2 and the benchmark image, again according to the acquisition time of L1, L2, calculate wire from the full swing amplitude of the side time during to opposite side full swing amplitude, calculate accordingly the hunting frequency of wire.
The above only is preferred embodiment of the present utility model; not in order to limit the utility model; all any modifications of within spirit of the present utility model and principle, doing, be equal to and replace and improvement etc., all should be included within the protection domain of the present utility model.
Claims (4)
1. one kind based on target target image identification and reference measurement power transmission state monitoring system, it is characterized in that: comprise the target that is installed on the wire, be installed in video camera and image processing system on the shaft tower, be installed in the computer processing system of remote monitoring center, described video camera is corresponding with target, the output terminal of video camera links to each other with the input end of image processing system, and the output terminal of image processing system links to each other with the input end of computer processing system.
2. as claimed in claim 1 based on the identification of target target image and reference measurement power transmission state monitoring system, it is characterized in that: the distance between described target and the video camera is less than or equal to 120m.
3. as claimed in claim 1 based on the identification of target target image and reference measurement power transmission state monitoring system, it is characterized in that: described target comprises active target and passive target.
4. as claimed in claim 3 based on the identification of target target image and reference measurement power transmission state monitoring system, it is characterized in that: described target is that the bottom surface is to have the square of white reflection ring in the middle of the black floor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201220179748 CN202676156U (en) | 2012-04-25 | 2012-04-25 | Electric transmission line condition monitoring system based on target image identification and benchmark measurement |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201220179748 CN202676156U (en) | 2012-04-25 | 2012-04-25 | Electric transmission line condition monitoring system based on target image identification and benchmark measurement |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN202676156U true CN202676156U (en) | 2013-01-16 |
Family
ID=47497055
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 201220179748 Expired - Fee Related CN202676156U (en) | 2012-04-25 | 2012-04-25 | Electric transmission line condition monitoring system based on target image identification and benchmark measurement |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN202676156U (en) |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103245325A (en) * | 2013-04-23 | 2013-08-14 | 中国建筑股份有限公司 | Automatic floor elevation monitoring system and monitoring method thereof |
| CN104713525A (en) * | 2015-03-24 | 2015-06-17 | 天津大学 | Target layout device and method for photogrammetry on top of historic building |
| CN106895792A (en) * | 2017-04-27 | 2017-06-27 | 武汉大学 | Power transmission tower component deformation and Internal Force Monitoring method based on two CCD camera measure system |
| CN107063110A (en) * | 2017-04-27 | 2017-08-18 | 武汉大学 | A kind of Transmission Tower-line System panorama multi-angle two CCD camera measure system |
| CN107367345A (en) * | 2017-08-31 | 2017-11-21 | 北京蓝海华业科技股份有限公司 | A kind of system for detecting transmission line of electricity stress state |
| RU2677498C1 (en) * | 2016-11-08 | 2019-01-17 | Федеральное государственное бюджетное образовательное учреждение высшего образования "Волгоградский государственный технический университет" (ВолгГТУ) | Overhead power transmission lines condition monitoring device |
| CN109443217A (en) * | 2018-08-30 | 2019-03-08 | 南京理工大学 | A kind of displacement structure monitoring method based on security camera and identification marking |
| CN110500954A (en) * | 2019-07-30 | 2019-11-26 | 中国地质大学（武汉） | A kind of aircraft pose measuring method based on circle feature and P3P algorithm |
| CN110887447A (en) * | 2019-11-16 | 2020-03-17 | 浙江维思无线网络技术有限公司 | Tower deformation detection sensor and detection method thereof |
| US10948531B2 (en) | 2018-01-26 | 2021-03-16 | LineVision, Inc. | System and method for power transmission line monitoring |
| CN117629079A (en) * | 2024-01-26 | 2024-03-01 | 智洋创新科技股份有限公司 | Power transmission wire windage yaw monitoring method and device based on data analysis and calibration object |
| CN117704967A (en) * | 2024-02-05 | 2024-03-15 | 中铁西南科学研究院有限公司 | Machine vision-based blast hole position dynamic measurement method, target and measurement system |
-
2012
- 2012-04-25 CN CN 201220179748 patent/CN202676156U/en not_active Expired - Fee Related
Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103245325A (en) * | 2013-04-23 | 2013-08-14 | 中国建筑股份有限公司 | Automatic floor elevation monitoring system and monitoring method thereof |
| CN104713525A (en) * | 2015-03-24 | 2015-06-17 | 天津大学 | Target layout device and method for photogrammetry on top of historic building |
| CN104713525B (en) * | 2015-03-24 | 2017-04-26 | 天津大学 | Target layout device and method for photogrammetry on top of historic building |
| RU2677498C1 (en) * | 2016-11-08 | 2019-01-17 | Федеральное государственное бюджетное образовательное учреждение высшего образования "Волгоградский государственный технический университет" (ВолгГТУ) | Overhead power transmission lines condition monitoring device |
| CN106895792A (en) * | 2017-04-27 | 2017-06-27 | 武汉大学 | Power transmission tower component deformation and Internal Force Monitoring method based on two CCD camera measure system |
| CN107063110A (en) * | 2017-04-27 | 2017-08-18 | 武汉大学 | A kind of Transmission Tower-line System panorama multi-angle two CCD camera measure system |
| CN107367345B (en) * | 2017-08-31 | 2023-08-22 | 北京蓝海华业科技股份有限公司 | System for detecting stress state of power transmission line |
| CN107367345A (en) * | 2017-08-31 | 2017-11-21 | 北京蓝海华业科技股份有限公司 | A kind of system for detecting transmission line of electricity stress state |
| US10948531B2 (en) | 2018-01-26 | 2021-03-16 | LineVision, Inc. | System and method for power transmission line monitoring |
| US11493547B2 (en) | 2018-01-26 | 2022-11-08 | LineVision, Inc. | System and method for power transmission line monitoring |
| US11835570B2 (en) | 2018-01-26 | 2023-12-05 | LineVision, Inc. | System and method for power transmission line monitoring |
| CN109443217A (en) * | 2018-08-30 | 2019-03-08 | 南京理工大学 | A kind of displacement structure monitoring method based on security camera and identification marking |
| CN110500954A (en) * | 2019-07-30 | 2019-11-26 | 中国地质大学（武汉） | A kind of aircraft pose measuring method based on circle feature and P3P algorithm |
| CN110887447A (en) * | 2019-11-16 | 2020-03-17 | 浙江维思无线网络技术有限公司 | Tower deformation detection sensor and detection method thereof |
| CN117629079A (en) * | 2024-01-26 | 2024-03-01 | 智洋创新科技股份有限公司 | Power transmission wire windage yaw monitoring method and device based on data analysis and calibration object |
| CN117629079B (en) * | 2024-01-26 | 2024-05-10 | 智洋创新科技股份有限公司 | Power transmission wire windage yaw monitoring method and device based on data analysis and calibration object |
| CN117704967A (en) * | 2024-02-05 | 2024-03-15 | 中铁西南科学研究院有限公司 | Machine vision-based blast hole position dynamic measurement method, target and measurement system |
| CN117704967B (en) * | 2024-02-05 | 2024-05-07 | 中铁西南科学研究院有限公司 | Machine vision-based blast hole position dynamic measurement method, target and measurement system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN202676156U (en) | Electric transmission line condition monitoring system based on target image identification and benchmark measurement | |
| CN102638013B (en) | The target image identification power transmission state monitoring system of view-based access control model attention mechanism | |
| CN206031396U (en) | High -speed railway pulls institute's pavilion intelligence and patrols survey system | |
| CN109164443A (en) | Rail track foreign matter detecting method and system based on radar and image analysis | |
| CN101556142B (en) | Visual detection method of ice coating thickness of overhead lines | |
| CN203455912U (en) | System for on-line monitoring foreign matter interference of power transmission line | |
| CN105675055A (en) | Icing prediction and early-warning method and system of power transmission lines | |
| CN1725266A (en) | Vehicle intelligent monitoring recording syste mand method based on video trigger and speed measuring | |
| CN102393961A (en) | Computer vision-based real-time detecting and tracking method for electric power transmission circuit of aircraft | |
| CN107435906A (en) | A kind of wind-solar hybrid intelligent monitors security protection street lamp | |
| CN105516684A (en) | Patrol inspection method for power transmission line of power grid | |
| CN106097627B (en) | Transmission line galloping intelligent video on-line monitoring system | |
| CN112197218B (en) | Comprehensive energy wisdom street lamp | |
| CN104994347A (en) | Intelligent security video monitoring system and detection processing method thereof | |
| CN107065871A (en) | It is a kind of that dining car identification alignment system and method are walked based on machine vision certainly | |
| CN106197294A (en) | A kind of optically-based overhead transmission line ice covering thickness monitoring device and method | |
| CN111372351A (en) | Wisdom lighting control system | |
| CN111210629A (en) | Intelligent traffic control method and system based on street lamp pole | |
| CN109816702A (en) | A kind of multiple target tracking device and method | |
| CN105610087A (en) | Power transmission line inspection system of power grid | |
| CN107221006A (en) | A kind of communication single pipe tower slant detection method based on unmanned plane imaging platform | |
| CN116631158A (en) | Landslide early warning device based on image recognition and computer vision | |
| CN104159088A (en) | System and method of remote monitoring of intelligent vehicle | |
| CN103438822A (en) | Accumulated snow depth monitoring system based on controllable light source | |
| Zhen et al. | Transmission tower protection system based on Internet of Things in smart grid |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20130116 Termination date: 20210425 |