JPH06103967B2 - Image processor for overhead line inspection - Google Patents
Image processor for overhead line inspectionInfo
- Publication number
- JPH06103967B2 JPH06103967B2 JP19326689A JP19326689A JPH06103967B2 JP H06103967 B2 JPH06103967 B2 JP H06103967B2 JP 19326689 A JP19326689 A JP 19326689A JP 19326689 A JP19326689 A JP 19326689A JP H06103967 B2 JPH06103967 B2 JP H06103967B2
- Authority
- JP
- Japan
- Prior art keywords
- overhead line
- image
- abnormality
- image processing
- line inspection
- 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 - Lifetime
Links
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- Electric Cable Installation (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
- Closed-Circuit Television Systems (AREA)
Description
【発明の詳細な説明】 〔産業上の利用分野〕 本発明は送電線のような架空線の目視点検を自動的に行
うため、テレビカメラでとらえた映像から架空線の異常
を自動的に検出する架空線点検用画像処理装置に関する
ものである。DETAILED DESCRIPTION OF THE INVENTION [Industrial field of application] Since the present invention automatically performs visual inspection of overhead lines such as power lines, an abnormality of the overhead line is automatically detected from an image captured by a television camera. The present invention relates to an image processing device for inspecting overhead lines.
従来、この種架空線の点検は人が徒歩又はヘリコプター
に乗つて双眼鏡により直接目視確認することにより行な
われていたが、最近では特開昭59-85909公報に示される
様にヘリコプター上からテレビカメラで撮影してVTRに
記録したり、実開昭61-192614公報に示される様に架空
線上を走行する自走式点検機にテレビカメラを搭載して
走行させながらVTRに記録したりする方法がとられてい
る。この場合、帰還・回収後VTRの映像を再生して人が
モニタテレビ見て異常が無いかを確認する。Conventionally, this kind of overhead line has been inspected by a person walking or riding a helicopter and directly visually confirming it with binoculars, but recently, as shown in Japanese Patent Laid-Open No. 59-85909, a television camera is mounted on the helicopter. There is a method of shooting with a VTR and recording it on the VTR, or installing a TV camera on a self-propelled inspection machine that runs on an overhead line as shown in JP-A-61-192614 It is taken. In this case, after returning / collecting, the VTR image is played back to check if there is any abnormality on the person watching the monitor TV.
発見すべき異常としては素線切れ、溶痕,異物付着,撚
り線ムラ等であるが特に問題となるのは第5図(a)〜
(c)に示すような素線切れであり、放置しておくと次
第に増大し、地絡や短絡等の大事故に発展する可能性が
あるので、できる限り速やかに発見し、処置する必要が
ある。Abnormalities to be detected include strand breaks, melt marks, foreign matter adherence, and twisted wire unevenness, but these are particularly problematic.
It is a wire break as shown in (c), and if left unattended, it will gradually increase and may develop into a major accident such as a ground fault or short circuit. Therefore, it is necessary to detect and treat it as soon as possible. is there.
かかる従来の架空線の目視点検では人が長時間テレビを
見て判断する必要があるため、疲労や見落しが発生する
などの課題があつた。In such a conventional visual inspection of an overhead line, it is necessary for a person to watch the television for a long time to make a judgment, which causes problems such as fatigue and oversight.
本発明は上記のような課題を解決するためになされたも
ので、従来人がモニタテレビを見て行つていた架空線の
異常発見作業を自動的に行うことができる架空線点検用
画像処理装置を得ることを目的とする。The present invention has been made to solve the above problems, and image processing for overhead line inspection that can automatically perform anomaly detection work for overhead lines, which is conventionally performed by a person watching a monitor television. The purpose is to obtain the device.
本発明に係る架空線点検用画像処理装置は、テレビカメ
ラにより撮影された架空線の画像を処理して、上記画像
のエツジ部分により架空線の外形輪郭を抽出し、その異
常な変化を検出することにより上記架空線の異常を見つ
けるものである。An overhead line inspection image processing apparatus according to the present invention processes an image of an overhead line captured by a television camera, extracts an outline of the overhead line from an edge portion of the image, and detects an abnormal change thereof. By doing so, the abnormality of the overhead line is found.
本発明における架空線点検用画像処理装置は画像のエツ
ジ部分により架空線の外形輪郭を抽出し、その異常な変
化を検出することにより、架空線の異常を見つける。The overhead line inspection image processing apparatus according to the present invention detects an abnormal state of the overhead line by extracting the outer contour of the overhead line from the edge portion of the image and detecting the abnormal change.
以下、本発明の一実施例を図について説明する。第1図
において(1)は点検対象たる架空線、(2)はヘリコ
プター、(3)は撮影システム、(4)は再生用VTR、
(5)が画像処理装置、(6)はモニタテレビ、(7)
は表示器である。An embodiment of the present invention will be described below with reference to the drawings. In FIG. 1, (1) is an overhead line to be inspected, (2) is a helicopter, (3) is an imaging system, (4) is a VTR for reproduction,
(5) is an image processing device, (6) is a monitor television, (7)
Is an indicator.
本実施例では架空線(1)の映像をヘリコプター(2)
からテレビカメラ(31)でとらえ、記録用VTR(32)で
録画し、帰還後再生用VTR(4)で再生して画像処理装
置(5)で分析し、不良箇所が見つかれば表示器(7)
で表示して、そのときに人(図示せず)がモニタテレビ
(6)を見て内容を確認するものである。In this embodiment, an image of the overhead line (1) is displayed on the helicopter (2).
From the TV camera (31), record it with the recording VTR (32), play it back with the playback VTR (4), analyze it with the image processing device (5), and if a defective part is found, display it (7 )
Is displayed, and at that time, a person (not shown) looks at the monitor television (6) to confirm the contents.
画像処理装置(5)は、ビデオ信号aを取りこんで所定
の分解能でサンプリングして2次元のデイジタル画像に
変換するビデオAD変換器(51)、変換したデイジタル画
像を記憶するビデオメモリー(52)、ビデオメモリーに
記憶された画像に対して後述の演算処理を行うALUユニ
ツト(53)、演算結果をモニタテレビに表示するための
ビデオDA変換器(54)、VTR制御信号bを発生し順次画
像を進めながら画像入力,演算,表示等の一連の動作を
制御する制御ユニツト(55)から構成される。An image processing device (5) includes a video AD converter (51) for taking in a video signal a, sampling it at a predetermined resolution and converting it into a two-dimensional digital image, a video memory (52) for storing the converted digital image, An ALU unit (53) that performs the arithmetic processing described below on the images stored in the video memory, a video DA converter (54) for displaying the arithmetic results on a monitor TV, and a VTR control signal b are generated to sequentially generate images. It consists of a control unit (55) that controls a series of operations such as image input, calculation, and display while proceeding.
尚、サンプリングされたデイジタル画像の最小構成単位
を画素と呼ぶ。The minimum constituent unit of the sampled digital image is called a pixel.
次に、第5図(a)の素線切れを例にとつて画像処理装
置(5)の動作について説明する。第2図はその処理フ
ローを示す。Next, the operation of the image processing apparatus (5) will be described by taking the strand break shown in FIG. 5 (a) as an example. FIG. 2 shows the processing flow.
まず、ビデオAD変換器(51)でサンプリングされたデイ
ジタル画像をビデオメモリー(52)に取り込み、ALUユ
ニツト(53)で微分演算を行い、画像のエツジ部分(明
るさの急激に変化する部分)を抽出する。微分演算の詳
細は一般の画像処理技術書に記載されているので省略す
る。得られた微分画像の例を第3図に示す。ここでは簡
単のためエツジ部分を“1"、その他を“0"に2値化した
画像で説明する。First, the digital image sampled by the video A / D converter (51) is loaded into the video memory (52), and the ALU unit (53) performs a differential operation to remove the edge part (the part where the brightness changes rapidly) of the image. Extract. The details of the differential operation are described in the general image processing technique manual, and therefore omitted. An example of the obtained differential image is shown in FIG. Here, for the sake of simplicity, an image in which the edge portion is binarized to “1” and the others to “0” will be described.
次に、得られた微分画像について、最初に上側開始点を
探索する。このため、画面左端上から下に向つて“1"の
画素を探す。第3図の例ではA点が上側開始点となる。
次に、A点から始めて、架空線の上側輪郭をトラツキン
グする。この処理は第4図(a)に示すように現在の画
素に対して隣接する8つの画素を真上から時計方向に調
べ、最初に“1"である画素を次の点として順次走査を繰
り返す。但し、次の点が画面の右端もしくは前の点に戻
るときはそこで終了する。第3図の例ではA点から始め
てA′点で終了する。もし、画面の途中で終了したとき
はノイズ等による偽物と考えられるので、再度開始点探
索からやり直す。但し、上記処理では架空線の外形輪郭
線にとぎれがあると処理できなくなるので、その場合は
微分演算後あらかじめ拡大・縮小処理等(詳細は画像処
理技術書参照)によりとぎれの発生しない様にしておく
必要がある。尚、入力画像の架空線内部のレベルが一様
で、適当なスライスレベルで2値画像化して架空線の外
形を抽出することが可能であれば、微分処理は省略して
もよい。Next, the upper start point is first searched for in the obtained differential image. Therefore, the pixel "1" is searched for from the upper left side of the screen toward the lower side. In the example of FIG. 3, point A is the upper start point.
Then, starting from point A, the upper contour of the overhead line is tracked. In this process, as shown in FIG. 4 (a), eight pixels adjacent to the current pixel are examined in a clockwise direction from directly above, and the pixel which is "1" is first set as the next point and the sequential scanning is repeated. . However, when the next point returns to the right edge of the screen or the previous point, it ends there. In the example of FIG. 3, starting from point A and ending at point A '. If it ends in the middle of the screen, it is considered to be a fake due to noise or the like, and therefore the starting point search is repeated. However, the above process cannot be performed if there is a break in the outline of the overhead line. In that case, make sure that the break does not occur by the enlargement / reduction process after the differential calculation (see the image processing technical manual for details). I need to put it. The differential processing may be omitted if the level of the inside of the overhead line of the input image is uniform and the outline of the overhead line can be extracted by performing binary image conversion at an appropriate slice level.
画面の右端までトラツキングが完了したら、変曲点検出
を行う。これは例えば前記輪郭のトラツキングにおいて
検出した方位を数列として記憶し、この数列の数値変化
を調べる方法がある。第3図の例では方位列として同図
(a)のようになり、素線切れの部分で方位が4以上に
なつている部分があることから異常な突起があることが
検出される。また、他の方法として、AA′を結ぶ線分よ
り上にある“1"の点の数を数え、一定値以上のとき異常
があると判定する様にしてもよい。When tracking is completed up to the right edge of the screen, inflection point detection is performed. For this, for example, there is a method in which the azimuth detected in the tracking of the contour is stored as a sequence and the numerical change of this sequence is examined. In the example of FIG. 3, the azimuth row is as shown in FIG. 3A, and there is a portion where the azimuth is 4 or more in the portion where the strands are broken, so that an abnormal protrusion is detected. As another method, the number of "1" points above the line segment connecting AA 'may be counted, and it may be determined that there is an abnormality when the value is equal to or larger than a certain value.
次に、下側輪郭についても同様に、今度が画面左端を下
から上に開始点を探し、そこから順次隣接する8つの画
素を第4図(b)のように真下から反時計方向に調べて
トラツキングを行う。第3図の例ではB点から始まり、
B′点で終了する。この場合方位例は同図(b)の様に
なり、特に異常は存在しない。Next, similarly for the lower contour, this time, the left end of the screen is searched for from the bottom to the top, and eight pixels which are adjacent to each other are sequentially examined from the bottom to the counterclockwise direction as shown in FIG. 4 (b). And tracking. In the example of FIG. 3, starting from point B,
It ends at point B '. In this case, the azimuth example is as shown in FIG. 7B, and there is no particular abnormality.
以上のような処理をVTRで一画面分ずつ進めならが順次
行ない、異常が検出されれば表示器(7)で表示する。The above processing is sequentially performed for each screen by the VTR, and if an abnormality is detected, it is displayed on the display (7).
上記実施例では、ヘリコプターから撮影した画像を対象
としたが、地上から望遠鏡等で撮つたものでもよく、自
走式点検機で収録したものでもよい。また、上記実施例
では、VTRに収録した画像を再生して判定する様にした
が、画像処理装置をヘリコプター又は自走式点検機に搭
載するか又は撮影システムと画像処理装置を通信回線で
結ぶ等によりオンラインで判定する様にしてもよい。In the above embodiment, the image taken from the helicopter was targeted, but it may be taken from the ground with a telescope or the like, or may be taken with a self-propelled inspection machine. Further, in the above embodiment, the image recorded in the VTR is reproduced and judged, but the image processing device is mounted on a helicopter or a self-propelled inspection machine, or the photographing system and the image processing device are connected by a communication line. Alternatively, the determination may be performed online.
また、上記実施例では異常が見つかつたとき、すぐに表
示器で告知する様にしたが、異常箇所をメモリしておい
て、まとめて確認できる様にすれば更に効率的に作業が
行える。Further, in the above embodiment, when an abnormality is found, the display is immediately notified, but if the abnormal portion is stored in memory and can be confirmed collectively, the work can be performed more efficiently.
尚、上記実施例では架空線以外の画像は含まれない場合
について述べたが、実際には飛来物(小鳥など)が混入
したり、背景に建物や樹木が検出されたりする場合があ
り、これらを検出して異常と誤判定する可能性がある。Although the above embodiment has described the case where an image other than the overhead line is not included, flying objects (small birds, etc.) may be mixed in, and buildings and trees may be detected in the background. May be erroneously determined to be abnormal.
このため、画像の連続する複数のフレームについて判定
処理を行ない、画面の移動速度に合せて異物の位置が移
動している場合のみ異常と判定する様にすれば上記誤判
定を防止することができる。Therefore, the above erroneous determination can be prevented by performing determination processing for a plurality of consecutive frames of an image and determining an abnormality only when the position of the foreign matter moves in accordance with the moving speed of the screen. .
以上のように、本発明によれば架空線点検用画像処理装
置を、架空線の画像を処理して画像のエツジ部分により
外形輪郭を抽出して異常な変化を自動的に発見する様に
構成したので、人が長時間テレビを見て判定する必要が
なく、疲労や見落し等の問題を回避できるものが得られ
る効果がある。As described above, according to the present invention, the overhead line inspection image processing apparatus is configured to automatically detect an abnormal change by processing the image of the overhead line and extracting the outer contour from the edge portion of the image. Therefore, it is not necessary for a person to watch the television for a long time to make a decision, and there is an effect that a problem such as fatigue and oversight can be avoided.
第1図は本発明の一実施例による架空線点検用画像処理
装置を使用したシステム構成図、第2図は画像処理装置
の処理フローチヤート、第3図は画像処理例を示す説明
図、第4図(a),(b)は輪郭トラツキング原理図、
第5図(a)〜(c)は架空線の異常例をそれぞれ示す
部分図である。 図において、(1)は架空線、(2)はヘリコプター、
(3)は撮影システム、(4)は再生用VTR、(5)は
画像処理装置、(6)はモニタテレビ、(7)は表示器
である。FIG. 1 is a system configuration diagram using an image processing device for overhead line inspection according to an embodiment of the present invention, FIG. 2 is a processing flow chart of the image processing device, and FIG. 3 is an explanatory diagram showing an image processing example. 4 (a) and (b) are outline tracking principle diagrams,
FIGS. 5 (a) to 5 (c) are partial views showing examples of anomalous overhead lines. In the figure, (1) is an overhead line, (2) is a helicopter,
(3) is a photographing system, (4) is a VTR for reproduction, (5) is an image processing device, (6) is a monitor television, and (7) is a display.
Claims (2)
画像を演算処理して上記架空線の点検を行う架空線点検
用画像処理装置において、上記画像のエツジ部分により
架空線の外形輪郭を抽出し、その異常な変化を検出する
ことにより、上記架空線の異常を見つけることを特徴と
する架空線点検用画像処理装置。1. An overhead line inspection image processing apparatus for inspecting the overhead line by arithmetically processing an image obtained by shooting the overhead line with a television camera, wherein an outline of the overhead line is provided by an edge portion of the image. An image processing apparatus for inspecting an overhead line, wherein the abnormality in the overhead line is detected by extracting the abnormal state and extracting the abnormal change.
種の異常が検出されたときに異常と判定することにより
誤判定を防止することを特徴とする請求項第1項記載の
架空線点検用画像処理装置。2. The overhead line inspection image according to claim 1, wherein an erroneous determination is prevented by determining an abnormality when the same type of abnormality is detected in a plurality of consecutive frames of the image. Processing equipment.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP19326689A JPH06103967B2 (en) | 1989-07-26 | 1989-07-26 | Image processor for overhead line inspection |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP19326689A JPH06103967B2 (en) | 1989-07-26 | 1989-07-26 | Image processor for overhead line inspection |
Publications (2)
Publication Number | Publication Date |
---|---|
JPH0360311A JPH0360311A (en) | 1991-03-15 |
JPH06103967B2 true JPH06103967B2 (en) | 1994-12-14 |
Family
ID=16305084
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP19326689A Expired - Lifetime JPH06103967B2 (en) | 1989-07-26 | 1989-07-26 | Image processor for overhead line inspection |
Country Status (1)
Country | Link |
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JP (1) | JPH06103967B2 (en) |
Families Citing this family (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6842534B1 (en) * | 2000-09-28 | 2005-01-11 | Itt Manufacturing Enterprises, Inc. | Detecting material failures in ground locations |
DE60235124D1 (en) * | 2002-08-01 | 2010-03-04 | Union Fenosa Distribucion S A | METHOD AND DEVICE FOR EXAMINING LINEAR INFRASTRUCTURES |
JP4255065B2 (en) * | 2003-08-07 | 2009-04-15 | 財団法人電力中央研究所 | Method and apparatus for detecting electric wire abnormality by image processing, program, and method for creating image for electric wire inspection |
KR100562868B1 (en) * | 2006-01-06 | 2006-03-24 | 주식회사 이진건축사사무소 | The multipurpose luggage it receives |
JP4843368B2 (en) * | 2006-05-01 | 2011-12-21 | 財団法人電力中央研究所 | Wire abnormality detection method, wire abnormality detection device, and wire abnormality detection program |
JP2008276805A (en) * | 2008-08-04 | 2008-11-13 | Central Res Inst Of Electric Power Ind | Method of creating image for electric wire inspection |
JP6487763B2 (en) * | 2015-04-24 | 2019-03-20 | 株式会社日立ハイテクファインシステムズ | Inspection apparatus and inspection method |
CN106099763A (en) * | 2016-08-18 | 2016-11-09 | 天津中翔腾航科技股份有限公司 | A kind of power transmission line unmanned machine inspection device |
-
1989
- 1989-07-26 JP JP19326689A patent/JPH06103967B2/en not_active Expired - Lifetime
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Publication number | Publication date |
---|---|
JPH0360311A (en) | 1991-03-15 |
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