JPH10239202A - Method and device for leakage detection - Google Patents
Method and device for leakage detectionInfo
- Publication number
- JPH10239202A JPH10239202A JP9044237A JP4423797A JPH10239202A JP H10239202 A JPH10239202 A JP H10239202A JP 9044237 A JP9044237 A JP 9044237A JP 4423797 A JP4423797 A JP 4423797A JP H10239202 A JPH10239202 A JP H10239202A
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- JP
- Japan
- Prior art keywords
- leak
- image
- signal
- detected
- leakage
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- 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.)
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- Examining Or Testing Airtightness (AREA)
Abstract
Description
【０００１】[0001]
【発明の属する技術分野】この発明は、工業プラント、
電力プラントなどにおいて油漏れ、水漏れなどの液体の
漏れを検出する漏れ検出方法及び装置に関するものであ
る。The present invention relates to an industrial plant,
The present invention relates to a method and apparatus for detecting a leak of a liquid such as an oil leak or a water leak in a power plant or the like.
【０００２】[0002]
【従来の技術】従来より液体の漏れの検出に関して、赤
外線カメラ、ＣＣＤカメラで対象を撮影し、その画像か
ら漏れを判定することが提案されている。特開平６ー５
８８３５号公報に示されたものはこのシステムの一例で
あり、図３において、１００は鋳鉄管、１００ａは管表
面、２００ａは漏水箇所、３００はハーフミラー、４０
０は赤外線カメラ、５００は鏡、６００はＣＣＤカメ
ラ、７００は画像処理装置、８００はパソコン、９００
はディスプレイである。2. Description of the Related Art Conventionally, regarding detection of liquid leakage, it has been proposed that an object is photographed with an infrared camera or a CCD camera and the leakage is determined from the image. JP-A-6-5
No. 8835 discloses an example of this system. In FIG. 3, 100 is a cast iron pipe, 100a is a pipe surface, 200a is a water leakage point, 300 is a half mirror, 40
0 is an infrared camera, 500 is a mirror, 600 is a CCD camera, 700 is an image processing device, 800 is a personal computer, 900
Is a display.
【０００３】次に動作を説明する。管表面１００ａの漏
水箇所２００ａを赤外線のみを透過させるハーフミラー
３００を通して撮影し、同時に、ハーフミラー３００を
介して、上記漏水箇所２００ａをＣＣＤカメラ６００で
撮影し、赤外線カメラ４００の画像からＣＣＤカメラ６
００の画像を差し引く演算を画像処理装置７００で行っ
て二値画像を算出し、二値画像をディスプレイ９００に
表示するとともに、二値画像から管の漏水部位を検出す
る構成としている。Next, the operation will be described. The water leak point 200a on the pipe surface 100a is photographed through the half mirror 300 that transmits only infrared light, and at the same time, the water leak point 200a is photographed through the half mirror 300 with the CCD camera 600.
The image processing apparatus 700 performs an operation of subtracting the image of 00 to calculate a binary image, displays the binary image on the display 900, and detects a leaked portion of the pipe from the binary image.
【０００４】[0004]
【発明が解決しようとする課題】このような従来の漏れ
検出装置は、製品検査のように、照明などの環境条件が
常に一定に保持される場合には適用可能であるが、プラ
ント設備においては、外光の変化、人の通過による影の
影響等によって、対象設備の赤外線画像、ＣＣＤ可視画
像に変動があり、上記の演算を行った場合、画像の変動
による部位を漏水部位とみなして誤検出することが多
く、プラント設備監視に適用するのは実用的ではなかっ
た。Such a conventional leak detecting device can be applied to a case where environmental conditions such as lighting are always kept constant as in the case of product inspection. Infrared images and CCD visible images of the target equipment fluctuate due to changes in external light, shadows caused by the passage of people, and the like. They are often detected and are not practical to apply to plant equipment monitoring.
【０００５】この発明は上記のような問題点を解決する
ためになされたもので、プラント設備監視に適用した場
合も、誤検出を防止することができる漏れ検出方法及び
装置を得ることを目的とする。SUMMARY OF THE INVENTION The present invention has been made to solve the above problems, and an object of the present invention is to provide a method and apparatus for detecting a leak that can prevent erroneous detection even when applied to plant equipment monitoring. I do.
【０００６】[0006]
【課題を解決するための手段】この発明に係る漏れ検出
方法は、漏れ検出の対象となる箇所を、漏れ検出の対象
となる液体の吸光スペクトルを含む帯域の発光成分をも
つ赤外光で照明して撮影した漏れのない状態（正常時）
の画像と実際の画像とを比較して漏れを検出すると共
に、照明を消して撮影した漏れのない状態（正常時）の
画像と実際の画像とを比較して漏れを検出し、上記両方
の検出結果から漏れの判定を行うようにしたものであ
る。According to the leak detecting method of the present invention, a portion to be subjected to leak detection is illuminated with infrared light having a light-emitting component in a band including an absorption spectrum of a liquid to be detected. Leak-free condition (normal)
In addition to comparing the actual image with the actual image to detect the leak, the leak-free state is detected by comparing the actual image with the leak-free (normal) image taken with the illumination turned off. The leak is determined from the detection result.
【０００７】また、照明時の撮影には赤外線カメラを、
照明を消した状態の撮影には可視カメラを用いたもので
ある。In addition, an infrared camera is used for shooting at the time of lighting,
A visible camera is used for photographing with the illumination turned off.
【０００８】また、照明時の撮影にも照明を消した状態
の撮影にも赤外線カメラを用いたものである。In addition, an infrared camera is used for both shooting at the time of illumination and shooting with the illumination turned off.
【０００９】また、漏れ検出の対象となる箇所を、漏れ
検出の対象となる液体の吸光スペクトルを含む帯域の発
光成分をもつ赤外光で照明して撮影した漏れのない状態
（正常時）の画像の輝度と実際の画像の輝度の違いを検
出し、この輝度の違いから漏れ量を算出するようにした
ものである。[0009] In addition, a leak-free state (normal state) is obtained by illuminating a portion to be leak-detected with infrared light having a light-emitting component in a band including the absorption spectrum of the liquid to be leak-detected. The difference between the luminance of the image and the luminance of the actual image is detected, and the amount of leakage is calculated from the difference between the luminances.
【００１０】この発明に係る漏れ検出装置は、漏れ検出
の対象となる液体の吸光スペクトルを含む帯域の発光成
分をもって対象物を照明する赤外光照明装置、漏れ検出
の対象を写す可視カメラと赤外線カメラ、これら両カメ
ラを同視野で撮影可能にする光学手段、両カメラからの
画像信号を切り換える切換手段、赤外光照明装置の点滅
と上記両カメラの切換を制御するコントローラ、両カメ
ラで撮影した漏れのない状態（正常時）の画像信号を記
憶する画像メモリ、カメラからの信号と画像メモリから
の信号を受けて、両信号の差分を出力する画像処理装
置、この画像処理装置からの出力信号により漏れを判定
する判定手段を備えたもである。A leak detecting device according to the present invention is an infrared light illuminating device for illuminating an object with a light-emitting component in a band including an absorption spectrum of a liquid to be leak-detected, a visible camera for photographing the leak-detected object, and an infrared ray. Camera, optical means for enabling both cameras to shoot in the same field of view, switching means for switching image signals from both cameras, a controller for controlling the blinking of the infrared light illuminating device and switching between the two cameras, and shooting with both cameras An image memory for storing an image signal in a leak-free state (normal state), an image processing device for receiving a signal from the camera and a signal from the image memory, and outputting a difference between the two signals; an output signal from the image processing device And a determination means for determining a leak by using
【００１１】また、漏れ検出の対象となる液体の吸光ス
ペクトルを含む帯域の発光成分をもって対象物を照明す
る赤外光照明装置、漏れ検出の対象を写す赤外線カメ
ラ、この赤外線カメラで撮影した漏れのない状態（正常
時）の画像信号を記憶する画像メモリ、赤外線カメラか
らの信号と上記画像メモリからの信号を受けて、両信号
の差分を出力する画像処理装置、この画像処理装置から
の出力信号により漏れを判定する判定手段を備えたもの
である。Further, an infrared light illuminating device for illuminating an object with a light-emitting component in a band including an absorption spectrum of a liquid to be leak-detected, an infrared camera for photographing the object of leak detection, An image memory for storing an image signal in a non-existent state (normal state), an image processing device for receiving a signal from the infrared camera and a signal from the image memory, and outputting a difference between the two signals; an output signal from the image processing device And a determination means for determining a leak by using
【００１２】また、漏れ検出の対象となる液体の吸光ス
ペクトルを含む帯域の発光成分をもって対象物を照明す
る赤外光照明装置、漏れ検出の対象を写す赤外線カメ
ラ、この赤外線カメラで撮影した漏れのない状態（正常
時）の画像信号を記憶する画像メモリ、赤外線カメラか
らの信号と上記画像メモリからの信号を受けて、両信号
の差分を出力する画像処理装置、この画像処理装置から
の出力信号により漏れを判定する判定手段、この判定手
段からの信号を受けて画像の輝度変化量を検出する輝度
変化量検出手段、この輝度変化量検出手段からの信号か
ら漏れ量を算出する漏れ量算出手段を備えたものであ
る。Further, an infrared light illuminating device for illuminating an object with a light-emitting component in a band including an absorption spectrum of a liquid to be leak-detected, an infrared camera for photographing a leak-detected object, and a leak image taken by the infrared camera. An image memory for storing an image signal in a non-existent state (normal state), an image processing device for receiving a signal from the infrared camera and a signal from the image memory, and outputting a difference between the two signals; an output signal from the image processing device Determining means for determining the amount of leakage based on a signal from the determining means, detecting the amount of change in the luminance of the image in response to the signal from the determining means, and calculating the amount of leakage from the signal from the means for detecting the change in luminance It is provided with.
【００１３】[0013]
実施の形態１．図１はこの発明の実施の形態１に係る漏
れ検出装置を示すブロック図である。図１において、１
は可視カメラ、２は赤外線カメラで、可視カメラ１と赤
外線カメラ２は、光学系に入射した光をビームスプリッ
タ２１によって赤外光帯域と可視光帯域に分解し、赤外
光帯域の光を赤外線カメラ２へ、可視光帯域の光を可視
カメラ１へ入射し、かつ、可視カメラ１の視野角と赤外
線カメラ２の視野角とが一致するように光学系が構成さ
れている。３は赤外光領域まで発光成分をもつ赤外光照
明装置、４はコントローラ、５は検出対象の油漏れ、６
は切換器、７は二値化手段７１と差分手段７２を含む画
像処理装置、８は画像メモリ、９は判定手段である。Embodiment 1 FIG. FIG. 1 is a block diagram showing a leak detection device according to Embodiment 1 of the present invention. In FIG. 1, 1
Denotes a visible camera, 2 denotes an infrared camera, and the visible camera 1 and the infrared camera 2 decompose light incident on the optical system into an infrared light band and a visible light band by a beam splitter 21, and convert the light in the infrared light band to infrared light. The optical system is configured such that light in the visible light band is incident on the camera 2, and that the viewing angle of the visible camera 1 matches the viewing angle of the infrared camera 2. 3 is an infrared light illuminating device having a light emitting component up to the infrared light range, 4 is a controller, 5 is an oil leak to be detected, 6
Is a switch, 7 is an image processing device including a binarizing unit 71 and a difference unit 72, 8 is an image memory, and 9 is a determining unit.
【００１４】次に、油漏れによって塗装床にぬれが生じ
ているのを検出する場合の動作について説明する。先
ず、油漏れがない正常時に赤外光照明装置３を点灯した
状態及び消灯した状態で、赤外線カメラ２及び可視カメ
ラ１によって正常画像を撮影し、これらを画像メモリ８
に記憶しておく。点検時には、コントローラ４により赤
外光照明装置３を点灯し、点検対象を照明する。油漏れ
５が存在し、赤外光で照明された場合、油漏れは近赤外
光領域に吸光スペクトルをもつため、赤外線カメラ２で
撮影すると、周囲に比較して油漏れ５部分の輝度が低い
油漏れ画像が得られる。二値化手段７１によって、得ら
れた画像と画像メモリ８に記憶されている正常画像の二
値化を行った後、差分手段７２によって差分をとると、
油漏れ画像の油漏れ部のみが抽出され、判定手段９に送
られる。Next, the operation in the case where it is detected that the painted floor is wet due to oil leakage will be described. First, a normal image is taken by the infrared camera 2 and the visible camera 1 in a state where the infrared light illuminating device 3 is turned on and off when there is no oil leakage in a normal state, and these are stored in the image memory 8.
To memorize it. At the time of inspection, the controller 4 turns on the infrared light illumination device 3 to illuminate the inspection object. When the oil leak 5 exists and is illuminated with infrared light, the oil leak has an absorption spectrum in the near infrared light region. A low oil leak image is obtained. After binarizing the obtained image and the normal image stored in the image memory 8 by the binarizing means 71, and taking the difference by the difference means 72,
Only the oil leak portion of the oil leak image is extracted and sent to the determination means 9.
【００１５】次に、コントローラ４によって赤外光照明
装置３を消灯し、可視カメラ１で撮影すれば、油漏れ５
が存在する場合は、通常の室内照明による可視画像の油
漏れ画像が得られる。赤外光照明時と同様、二値化手段
７１によって、油漏れ画像と画像メモリ８に記憶されて
いる消灯時の正常画像の二値化を行った後、差分手段７
２によって差分をとると、油漏れ画像の油漏れ部のみが
抽出され、判定手段９に送られる。Next, if the infrared light illuminating device 3 is turned off by the controller 4 and an image is taken by the visible camera 1, an oil leak 5
Is present, an oil leak image of a visible image obtained by ordinary room illumination is obtained. Similarly to the infrared light illumination, the binarizing unit 71 binarizes the oil leak image and the normal image at the time of turning off stored in the image memory 8, and then performs the binarizing unit 7.
When the difference is calculated by 2, only the oil leak portion of the oil leak image is extracted and sent to the determination means 9.
【００１６】以上のように、点灯時及び消灯時に独立し
て油漏れを検出し、判定手段９では、上記両検出結果か
ら油漏れを二重に確認する。従って、漏れを見逃すなど
の誤検出を防止することができる。なお、本実施の形態
では、赤外光照明装置３の点灯及び消灯をコントローラ
４で行うだけでなく、コントローラ４の指令で切換器６
によって可視カメラ１と赤外線カメラ２を選択して有効
性の高い検出条件を実現する。As described above, the oil leak is detected independently at the time of turning on and off the light, and the judging means 9 double-checks the oil leak from the above detection results. Therefore, it is possible to prevent erroneous detection such as missing a leak. In the present embodiment, not only the controller 4 turns on and off the infrared light illuminating device 3 but also the switch 6
Thus, the visible camera 1 and the infrared camera 2 are selected to realize highly effective detection conditions.
【００１７】次に、金属面上の油漏れを検出する場合の
動作について説明する。この場合は赤外線カメラのみを
用い、予め油漏れがない正常時に赤外光照明装置３の点
灯状態及び消灯状態で赤外線カメラ２によって正常画像
を撮影し、画像メモリ８に記憶しておく。点検時には、
コントローラ４により赤外光照明装置３を点灯し、点検
対象を照明する。油漏れ５が存在し、赤外光で照明され
た場合、塗装床と同様、油漏れは近赤外光領域に吸光ス
ペクトルをもつため、赤外線カメラ２で撮影すると、周
囲に比較して油漏れ５の輝度が低い油漏れ画像が得られ
る。二値化手段７１によって、油漏れ画像と画像メモリ
８に記憶されている点灯時の正常画像の二値化を行った
後、差分手段７２によって差分をとると油漏れ画像の油
漏れ部のみが抽出される。Next, an operation for detecting an oil leak on a metal surface will be described. In this case, only the infrared camera is used, and a normal image is taken by the infrared camera 2 in advance with the infrared light illuminating device 3 being turned on and off when there is no oil leakage and stored in the image memory 8 in advance. At the time of inspection,
The infrared light illumination device 3 is turned on by the controller 4 to illuminate the inspection target. When the oil leak 5 exists and is illuminated with infrared light, the oil leak has an absorption spectrum in the near-infrared light region, similar to a painted floor. 5, an oil leak image with low luminance is obtained. After binarizing the oil leak image and the normal image at the time of lighting stored in the image memory 8 by the binarizing means 71, and taking the difference by the difference means 72, only the oil leak part of the oil leak image is obtained. Is extracted.
【００１８】次に、コントローラ４によって赤外光照明
装置３を消灯し、赤外線カメラ２で撮影すれば、通常の
室内照明は赤外画像にほとんど影響しないため、油漏れ
５の温度が周囲と同じであれば、油漏れ５の存在する部
分の材料の輻射率と漏れた油の輻射率によって画像の輝
度が決定され、金属の輻射率は油より小さいため、油漏
れの輝度が高い油漏れ画像が撮影される。赤外光照明時
と同様、二値化手段７１によって、油漏れ画像と画像メ
モリ６に記憶されている消灯時の正常画像の二値化を行
った後、差分手段７２によって差分をとると、油漏れ画
像の油漏れ部のみが抽出される。以上のように、点灯時
及び消灯時に独立して油漏れを検出し、判定手段９によ
って二重に確認するので、漏れを見逃すなどの誤検出を
防止することができる。Next, if the infrared light illuminating device 3 is turned off by the controller 4 and the image is taken by the infrared camera 2, the normal indoor lighting hardly affects the infrared image. Then, the luminance of the image is determined by the emissivity of the material in the portion where the oil leak 5 is present and the emissivity of the leaked oil, and since the emissivity of the metal is smaller than that of the oil, the oil leak image has a high luminance of the oil leak. Is taken. Similar to the case of the infrared light illumination, after the binarizing unit 71 binarizes the oil leak image and the normal image at the time of turning off stored in the image memory 6, the difference is obtained by the difference unit 72. Only the oil leak portion of the oil leak image is extracted. As described above, the oil leak is detected independently at the time of lighting and at the time of turning off the light, and the oil leakage is double-checked by the judging means 9, so that erroneous detection such as missing of the leak can be prevented.
【００１９】実施の形態２．図２は実施の形態２を示す
ブロック図である。図２において、図１と同一部は同一
符号を付して説明を省略する。図２において、１０は判
定手段からの信号を受けて輝度の変化量を検出する輝度
変化量検出手段、１１は輝度変化量検出手段１０からの
信号を受けて漏れ量を算出する漏れ量算出手段である。
ただし、この実施の形態２では、可視カメラ１はなくて
もよい。Embodiment 2 FIG. 2 is a block diagram showing the second embodiment. 2, the same parts as those in FIG. 1 are denoted by the same reference numerals, and description thereof will be omitted. In FIG. 2, reference numeral 10 denotes a luminance change amount detecting unit that receives a signal from the determining unit and detects a luminance change amount, and 11 denotes a leakage amount calculating unit that receives a signal from the luminance change amount detecting unit 10 and calculates a leakage amount. It is.
However, in the second embodiment, the visible camera 1 may not be provided.
【００２０】次に、塗装床に油漏れによるぬれが生じて
いるのを検出する場合の動作について説明する。予め油
漏れがない正常時に赤外光照明装置３を点灯した状態で
赤外線カメラ２によって正常画像を撮影し、画像メモリ
８に記憶しておく。点検時には、コントローラ４により
赤外光照明装置３を点灯し、点検対象を照明する。油漏
れ５が存在し、赤外光で照明された場合、油漏れは近赤
外光領域に吸光スペクトルをもつため、赤外線カメラ２
で撮影すると、周囲に比較して油漏れ５の輝度が低い油
漏れ画像が得られる。Next, the operation for detecting the occurrence of wetting due to oil leakage on the painted floor will be described. A normal image is captured by the infrared camera 2 with the infrared light illuminating device 3 turned on in advance when there is no oil leakage in a normal state, and stored in the image memory 8. At the time of inspection, the controller 4 turns on the infrared light illumination device 3 to illuminate the inspection object. When the oil leak 5 exists and is illuminated with infrared light, the oil leak has an absorption spectrum in the near infrared light region.
, An oil leak image in which the brightness of the oil leak 5 is lower than the surroundings is obtained.
【００２１】二値化手段７１によって、油漏れ画像と画
像メモリ８に記憶されている正常画像の二値化を行った
後、差分手段７２によって差分をとると、油漏れ画像の
油漏れ部のみが抽出され、判定手段９によって油漏れが
検知される。ここで、輝度変化量検出手段１０によっ
て、画像メモリ８に記憶されている正常画像と油漏れ画
像の輝度レベルの比を漏れ領域の各画素毎に算出し、そ
れをもとに漏れ量算出手段１１によって次式の演算を行
って、油漏れの膜厚を算出する。 Ｉ0 ＝Ｉi ｛ｅｘｐ（−ｄ・δ）｝ ここで、Ｉ0 ：出力輝度、Ｉi ：入力輝度、ｄ：吸収係
数、δ：膜厚、である。このようにして求めた膜厚と油
漏れ領域の面積から油漏れ量を算出することができる。After binarizing the oil leak image and the normal image stored in the image memory 8 by the binarizing means 71 and calculating the difference by the difference means 72, only the oil leak portion of the oil leak image is obtained. Is extracted, and an oil leak is detected by the determination means 9. Here, the luminance change amount detecting means 10 calculates the ratio of the luminance level between the normal image and the oil leak image stored in the image memory 8 for each pixel in the leakage area, and based on the calculated ratio, 11, the following equation is calculated to calculate the oil leakage film thickness. I 0 = I i {exp (−d · δ)} where I 0 : output luminance, I i : input luminance, d: absorption coefficient, and δ: film thickness. The amount of oil leakage can be calculated from the film thickness and the area of the oil leakage region thus determined.
【００２２】[0022]
【発明の効果】以上のように、この発明によれば、検出
対象の漏れの光学的特性にあわせて、複数の検出状態で
赤外画像を撮影して独立に漏れを検出することで、環境
条件によらず常に有効な状態で漏れ部の検出が可能であ
り、誤検出を防いだ実用性の高い漏れ検出を行うことが
できる。As described above, according to the present invention, in accordance with the optical characteristics of a leak to be detected, infrared images are photographed in a plurality of detection states and leaks are independently detected, thereby reducing environmental impact. It is possible to always detect a leak in an effective state irrespective of conditions, and it is possible to perform highly practical leak detection that prevents erroneous detection.
【００２３】また、赤外画像の正常画像と漏れ画像の輝
度の変化量を検出し、漏れ量を算出することで、単に漏
れの有無だけでなく、漏れ量の推定をすることも可能に
なり、実用性の高い漏れ検出を行うことができる。Further, by detecting the amount of change in luminance between the normal image of the infrared image and the leakage image and calculating the amount of leakage, it is possible to estimate not only the presence or absence of leakage but also the amount of leakage. Thus, highly practical leak detection can be performed.
【図１】 この発明の実施の形態１に係る漏れ検出装置
を示すブロック図である。FIG. 1 is a block diagram showing a leakage detection device according to Embodiment 1 of the present invention.
【図２】 この発明の実施の形態２に係る漏れ検出装置
を示すブロック図である。FIG. 2 is a block diagram showing a leak detection device according to a second embodiment of the present invention.
【図３】 従来の漏れ検出装置を示すブロック図であ
る。FIG. 3 is a block diagram showing a conventional leak detection device.
１ 可視カメラ、２ 赤外線カメラ、３ 赤外光照明装
置、４ コントローラ ５ 油漏れ、６ 切換器、７ 画像処理装置、８ 画像
メモリ、９ 判定手段、１０ 輝度変化量検出手段、１
１ 漏れ量算出手段、２１ ビームスプリッタ、７１
二値化手段、７２ 差分手段。REFERENCE SIGNS LIST 1 visible camera, 2 infrared camera, 3 infrared light illuminating device, 4 controller 5 oil leak, 6 switch, 7 image processing device, 8 image memory, 9 determining means, 10 luminance change amount detecting means, 1
1 Leakage amount calculating means, 21 Beam splitter, 71
Binarization means, 72 Difference means.
Claims (7)
の対象となる液体の吸光スペクトルを含む帯域の発光成
分をもつ赤外光で照明して撮影した漏れのない状態（正
常時）の画像と実際の画像とを比較して漏れを検出する
と共に、上記照明を消して撮影した漏れのない状態（正
常時）の画像と実際の画像とを比較して漏れを検出し、
上記両方の検出結果から漏れの判定を行うようにしたこ
とを特徴とする漏れ検出方法。1. A leak-free state (normal state) obtained by illuminating a part to be leak-detected with infrared light having a light-emitting component in a band including the absorption spectrum of a liquid to be leak-detected. A leak is detected by comparing an image with an actual image, and a leak is detected by comparing an image in a leak-free state (in a normal state) taken with the illumination turned off and an actual image,
A leak detection method, wherein a leak is determined from both of the detection results.
を消した状態の撮影には可視カメラを用いることを特徴
とする請求項１記載の漏れ検出方法。2. The leak detecting method according to claim 1, wherein an infrared camera is used for photographing at the time of illumination, and a visible camera is used for photographing with the illumination turned off.
影にも赤外線カメラを用いることを特徴とする請求項１
記載の漏れ検出方法。3. An infrared camera is used for both photographing at the time of illumination and photographing with the illumination turned off.
The leak detection method described.
の対象となる液体の吸光スペクトルを含む帯域の発光成
分をもつ赤外光で照明して撮影した漏れのない状態（正
常時）の画像の輝度と実際の画像の輝度の違いを検出
し、この輝度の違いから漏れ量を算出するようにしたこ
とを特徴とする漏れ検出方法。4. A leak-free state (normal state) obtained by illuminating a location to be subjected to leak detection with infrared light having a light-emitting component in a band including an absorption spectrum of a liquid to be leak-detected. A leak detection method characterized by detecting a difference between the brightness of an image and the brightness of an actual image, and calculating a leak amount from the difference in brightness.
トルを含む帯域の発光成分をもって対象物を照明する赤
外光照明装置、漏れ検出の対象を写す可視カメラと赤外
線カメラ、これら両カメラを同視野で撮影可能にする光
学手段、上記両カメラからの画像信号を切り換える切換
手段、上記赤外光照明装置の点滅と上記両カメラの切換
を制御するコントローラ、上記両カメラで撮影した漏れ
のない状態（正常常時）の画像信号を記憶する画像メモ
リ、上記カメラからの信号と上記画像メモリからの信号
を受けて、両信号の差分を出力する画像処理装置、この
画像処理装置からの出力信号により漏れを判定する判定
手段を備えたことを特徴とする漏れ検出装置。5. An infrared light illuminator for illuminating an object with a light-emitting component in a band including an absorption spectrum of a liquid to be leak-detected, a visible camera and an infrared camera for photographing the object of leak detection, Optical means for enabling photographing in the field of view, switching means for switching image signals from both cameras, controller for controlling blinking of the infrared light illuminating device and switching between the two cameras, state without omission photographed by both cameras An image memory that stores an image signal of (normal), an image processing device that receives a signal from the camera and a signal from the image memory, and outputs a difference between the two signals, and an output signal from the image processing device that leaks. A leak detection device comprising: a determination unit that determines
トルを含む帯域の発光成分をもって対象物を照明する赤
外光照明装置、漏れ検出の対象を写す赤外線カメラ、こ
の赤外線カメラで撮影した漏れのない状態（正常時）の
画像信号を記憶する画像メモリ、上記赤外線カメラから
の信号と上記画像メモリからの信号を受けて、両信号の
差分を出力する画像処理装置、この画像処理装置からの
出力信号により漏れを判定する判定手段を備えたことを
特徴とする漏れ検出装置。6. An infrared light illuminating device for illuminating an object with a light-emitting component in a band including an absorption spectrum of a liquid to be leak-detected, an infrared camera for photographing a leak-detected object, and a leak image taken by the infrared camera. An image memory for storing an image signal in a non-existent state (in a normal state), an image processing device for receiving a signal from the infrared camera and a signal from the image memory, and outputting a difference between the two signals; an output from the image processing device A leak detection device comprising a determination means for determining a leak based on a signal.
トルを含む帯域の発光成分をもって対象物を照明する赤
外光照明装置、漏れ検出の対象を写す赤外線カメラ、こ
の赤外線カメラで撮影した漏れのない状態（正常時）の
画像信号を記憶する画像メモリ、上記赤外線カメラから
の信号と上記画像メモリからの信号を受けて、両信号の
差分を出力する画像処理装置、この画像処理装置からの
出力信号により漏れを判定する判定手段、この判定手段
からの信号を受けて画像の輝度変化量を検出する輝度変
化量検出手段、この輝度変化量検出手段からの信号から
漏れ量を算出する漏れ量算出手段を備えたことを特徴と
する漏れ検出装置。7. An infrared light illuminating device for illuminating an object with a luminescent component in a band including an absorption spectrum of a liquid to be leak-detected, an infrared camera for photographing the object of leak detection, An image memory for storing an image signal in a non-existent state (in a normal state), an image processing device for receiving a signal from the infrared camera and a signal from the image memory, and outputting a difference between the two signals; an output from the image processing device Judgment means for judging leakage based on a signal, a luminance change amount detection means for detecting a luminance change amount of an image in response to a signal from the judgment means, and a leakage amount calculation for calculating a leakage amount from a signal from the luminance change amount detection means A leak detection device comprising a means.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP9044237A JPH10239202A (en) | 1997-02-27 | 1997-02-27 | Method and device for leakage detection |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP9044237A JPH10239202A (en) | 1997-02-27 | 1997-02-27 | Method and device for leakage detection |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| JPH10239202A true JPH10239202A (en) | 1998-09-11 |
Family
ID=12685936
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP9044237A Pending JPH10239202A (en) | 1997-02-27 | 1997-02-27 | Method and device for leakage detection |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JPH10239202A (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001135363A (en) * | 1999-11-01 | 2001-05-18 | Sanyo Electric Co Ltd | Equipment for checking leak of electrolyte solution in battery, and method for checking the same |
| JP2004347478A (en) * | 2003-05-22 | 2004-12-09 | Tokyo Gas Co Ltd | Leakage inspection method and leakage inspection apparatus |
| JP2008116389A (en) * | 2006-11-07 | 2008-05-22 | Hitachi Ltd | Nondestructive corrosion diagnostic system for leakage oil of electrical apparatus |
| JP2012154854A (en) * | 2011-01-27 | 2012-08-16 | Nippon Signal Co Ltd:The | Liquid leakage detection method and liquid leakage detector |
| JP2017116259A (en) * | 2015-12-21 | 2017-06-29 | 三菱電機株式会社 | Liquid leakage detector and power generating system |
| WO2017217220A1 (en) * | 2016-06-16 | 2017-12-21 | パナソニックＩｐマネジメント株式会社 | Water leakage amount measurement apparatus and water leakage amount measurement method |
| WO2020020163A1 (en) * | 2018-07-26 | 2020-01-30 | Qingdao Haier Refrigerator Co., Ltd. | An infrared leak detection system |
| JP2020101392A (en) * | 2018-12-20 | 2020-07-02 | トヨタ自動車株式会社 | Appearance inspection method for lithium ion battery and appearance inspection device for lithium ion battery |
| JP2021099266A (en) * | 2019-12-23 | 2021-07-01 | トヨタ自動車株式会社 | Visual inspection method for battery and visual inspection device for battery |
| CN114972757A (en) * | 2022-05-31 | 2022-08-30 | 山东大学 | Tunnel water leakage area identification method and system |
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001135363A (en) * | 1999-11-01 | 2001-05-18 | Sanyo Electric Co Ltd | Equipment for checking leak of electrolyte solution in battery, and method for checking the same |
| JP2004347478A (en) * | 2003-05-22 | 2004-12-09 | Tokyo Gas Co Ltd | Leakage inspection method and leakage inspection apparatus |
| JP2008116389A (en) * | 2006-11-07 | 2008-05-22 | Hitachi Ltd | Nondestructive corrosion diagnostic system for leakage oil of electrical apparatus |
| JP2012154854A (en) * | 2011-01-27 | 2012-08-16 | Nippon Signal Co Ltd:The | Liquid leakage detection method and liquid leakage detector |
| JP2017116259A (en) * | 2015-12-21 | 2017-06-29 | 三菱電機株式会社 | Liquid leakage detector and power generating system |
| WO2017217220A1 (en) * | 2016-06-16 | 2017-12-21 | パナソニックＩｐマネジメント株式会社 | Water leakage amount measurement apparatus and water leakage amount measurement method |
| JPWO2017217220A1 (en) * | 2016-06-16 | 2019-04-11 | パナソニックＩｐマネジメント株式会社 | Water leakage measuring device and water leakage measuring method |
| WO2020020163A1 (en) * | 2018-07-26 | 2020-01-30 | Qingdao Haier Refrigerator Co., Ltd. | An infrared leak detection system |
| JP2020101392A (en) * | 2018-12-20 | 2020-07-02 | トヨタ自動車株式会社 | Appearance inspection method for lithium ion battery and appearance inspection device for lithium ion battery |
| JP2021099266A (en) * | 2019-12-23 | 2021-07-01 | トヨタ自動車株式会社 | Visual inspection method for battery and visual inspection device for battery |
| CN114972757A (en) * | 2022-05-31 | 2022-08-30 | 山东大学 | Tunnel water leakage area identification method and system |
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