JP3524752B2 - Wall inspection equipment - Google Patents
Wall inspection equipmentInfo
- Publication number
- JP3524752B2 JP3524752B2 JP05763298A JP5763298A JP3524752B2 JP 3524752 B2 JP3524752 B2 JP 3524752B2 JP 05763298 A JP05763298 A JP 05763298A JP 5763298 A JP5763298 A JP 5763298A JP 3524752 B2 JP3524752 B2 JP 3524752B2
- Authority
- JP
- Japan
- Prior art keywords
- brightness
- wall surface
- determination unit
- low
- deviation
- 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
Landscapes
- Image Analysis (AREA)
- Lining And Supports For Tunnels (AREA)
- Investigating Or Analyzing Materials Using Thermal Means (AREA)
- Radiation Pyrometers (AREA)
- Image Processing (AREA)
Description
【0001】[0001]
【発明の属する技術分野】本発明は、壁面検査装置に関
する。詳しくは、赤外線画像と可視画像を複合判定し
て、トンネル等の履工表面の剥離及び析出物等の変状を
検出する技術に関する。BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a wall surface inspection device. More specifically, the present invention relates to a technique for making a composite determination of an infrared image and a visible image to detect peeling of the surface of footwear such as tunnels and deformation of deposits.
【0002】[0002]
【従来の技術】従来のトンネル履工壁面変状検出装置の
概要図を図3に示す。この装置は、トンネル履工壁面上
の剥離、汚損を検出するものでり、トンネル履工壁表面
を加熱する加熱装置1と、加熱後のトンネル履工壁面が
放射する赤外線を検知し、赤外線画像を取得する赤外線
カメラ2及びトンネル履工壁面を照らし出す照明4と可
視画像を取得する可視カメラ3を有する検査装置と、取
得した赤外線画像と可視画像を独立して個別に画像処理
解析する画像処理解析装置8とで構成される。2. Description of the Related Art A schematic view of a conventional tunnel shoe wall surface deformation detecting device is shown in FIG. This device detects peeling and stains on the wall surface of the tunnel shoe, and detects the infrared rays emitted from the heating device 1 for heating the surface of the tunnel shoe wall and the heated tunnel shoe wall surface. An inspection apparatus having an infrared camera 2 for acquiring the image, an illumination 4 for illuminating the wall surface of the tunnel shoe, and a visible camera 3 for acquiring the visible image, and an image processing for independently analyzing the acquired infrared image and the visible image individually It is composed of the analysis device 8.
【0003】従って、図5に示すように、加熱装置1に
より、トンネル履工表面11を加熱すると、トンネル履
工表面11の温度が上昇し、履工内部にトンネル履工表
面11からトンネル履工背面12に向かう熱の流れが発
生する。このとき、履工内部に空気層等の剥離13が存
在した場合には、その剥離13で熱の流れか妨げられ
て、剥離13におけるトンネル履工表面温度の低下速度
が剥離以外の正常部におけるトンネル履工表面温度の低
下速度よりも遅くなる。Therefore, as shown in FIG. 5, when the tunnel work surface 11 is heated by the heating device 1, the temperature of the tunnel work surface 11 rises, and the tunnel work surface 11 is tunneled inside the work. A heat flow toward the back surface 12 is generated. At this time, when the peeling 13 such as an air layer exists inside the shoe, the flow of heat is blocked by the peeling 13, and the decrease rate of the tunnel shoe surface temperature in the peeling 13 is in a normal portion other than the peeling. It becomes slower than the rate of decrease of the surface temperature of the tunnel shoe.
【0004】その結果として、剥離13では剥離の無い
正常部と比較して表面温度が高い状態が持続する。そこ
で、その現象を利用すれば、図4に示すフローチャート
に示す手順により、トンネル履工壁面上の剥離13を検
出することができる。As a result, in the peeling 13, the state where the surface temperature is higher than that in the normal portion without peeling is maintained. Therefore, by utilizing this phenomenon, the peeling 13 on the wall surface of the tunnel shoe can be detected by the procedure shown in the flowchart of FIG.
【0005】先ず、トンネル履工表面11を加熱した後
に生じたトンネル履工壁表面温度差を赤外線カメラ2で
撮影し、トンネル履工壁表面上の温度分布画像を取得す
る(ステップ2)。次に、周囲温度よりも温度が高いか
否かを判定し(ステップ3)、周囲温度よりも温度が高
い箇所を剥離箇所と判定する(ステップ4)。First, the infrared temperature of the tunnel work wall surface that occurs after heating the tunnel work surface 11 is photographed by the infrared camera 2 to obtain a temperature distribution image on the tunnel work wall surface (step 2). Next, it is determined whether or not the temperature is higher than the ambient temperature (step 3), and a portion having a temperature higher than the ambient temperature is determined as a peeling portion (step 4).
【0006】また、周囲温度よりも温度が高くない箇所
を正常箇所と判定する(ステップ8)。引き続き、これ
ら剥離箇所と正常箇所による赤外線画像処理マップを作
成し(ステップ5)、その結果をマップ出力して(ステ
ップ6)、終了するのである(ステップ7)。Further, a place where the temperature is not higher than the ambient temperature is judged to be a normal place (step 8). Subsequently, an infrared image processing map is created by the peeled portion and the normal portion (step 5), the result is output as a map (step 6), and the process is ended (step 7).
【0007】一方、図5に示すように、トンネル内の壁
面に付着する汚損は、一般に埃やトンネル内走行車輌の
エンジン排気中に含まれる黒煙や地下鉄の場合には鉄道
のレールと車輪がこすれて発生する鉄粉等の成分が壁面
上に付着したものなので、汚損表面が茶褐色から黒色等
の暗い色をしており、また、その表面はざらついてい
る。この性質を利用すれば、図4に示すフローチャート
に示す手順により、トンネル履工壁面上の汚損を検出す
ることができる。On the other hand, as shown in FIG. 5, dirt attached to the wall surface in the tunnel is generally caused by dust, black smoke contained in the engine exhaust of vehicles running in the tunnel, and rails and wheels of the railway in the case of a subway. Since components such as iron powder generated by rubbing adhere to the wall surface, the stain surface has a dark color such as dark brown to black, and the surface is rough. By utilizing this property, it is possible to detect the stain on the wall surface of the tunnel shoe by the procedure shown in the flowchart of FIG.
【0008】先ず、照明4によりトンネル履工壁表面を
照らして、可視カメラ3でその画像を撮影する(ステッ
プ9)。次に、その画像のうち輝度レベルが周囲よりも
低く、かつ輝度レベルの偏差が大きいか否かを判定し
(ステップ10)、輝度レベルが周囲よりも低く、かつ
輝度レベルの偏差が大きい領域(周囲よりも暗くて表面
がざらざらしている領域)を汚損として判定する(ステ
ップ11)。First, the surface of the wall of the tunnel work is illuminated by the illumination 4, and the image is taken by the visible camera 3 (step 9). Next, in the image, it is determined whether the brightness level is lower than that of the surroundings and the deviation of the brightness level is large (step 10), and the region where the brightness level is lower than the surroundings and the deviation of the brightness level is large ( A region that is darker than the surroundings and has a rough surface) is determined as stain (step 11).
【0009】また、輝度レベルが周囲よりも低くなく、
又は、輝度レベルの偏差が大きくない領域は正常箇所と
して判定する(ステップ13)
引き続き、これら汚損箇所と正常箇所による可視線画像
処理マップを作成し(ステップ12)、その結果をマッ
プ出力して(ステップ6)、終了するのである(ステッ
プ7)。Further, the brightness level is not lower than the surroundings,
Alternatively, a region in which the deviation of the brightness level is not large is determined as a normal part (step 13). Subsequently, a visible line image processing map is created by the stain part and the normal part (step 12), and the result is output as a map ( Step 6) is ended (step 7).
【0010】[0010]
【発明が解決しようとする課題】上述したトンネル履工
壁面変状検出装置は、変状のうち剥離13を赤外線画像
の画像処理解析で判定検出し、汚損を可視画像の画像処
理解析で判定検出するため、赤外線画像から判定検出し
た剥離箇所には、トンネル履工壁面上に析出した様々な
析出物14が含まれており、剥離と析出物14の区別が
原理的に困難である。SUMMARY OF THE INVENTION The above-mentioned tunnel footwear wall surface deformation detecting device determines and detects the peeling 13 among the deformations by the image processing analysis of the infrared image and detects the stain by the image processing analysis of the visible image. Therefore, the peeling location determined and detected from the infrared image contains various deposits 14 deposited on the wall surface of the tunnel footwear, and it is theoretically difficult to distinguish between the peeling and the deposit 14.
【0011】ここで、析出物とは履工に生じた亀裂等の
欠陥から漏水が発生し、履工背面の土砂や履工内部の石
灰分等が融けだしてきて履工表面で凝固したものや、漏
水個所に発生するバクテリアの死骸等がトンネル履工表
面に付着したものである。一般に析出物の表面は前述の
汚損の成分が付着し易く、汚損と同様に茶褐色〜黒色を
しており、その表面はざらついている。The term "precipitate" as used herein means that water leaks from defects such as cracks generated in the shoe, and the sand and sand on the back of the shoe and the lime content inside the shoe start to melt and solidify on the surface of the shoe. Also, the dead bodies of bacteria, etc., that occur at the water leakage points adhere to the surface of the tunnel footwear. Generally, the surface of the deposit is liable to be adhered with the above-mentioned stain component, and has a brown to black color like the stain, and its surface is rough.
【0012】この析出物は、図5に示す剥離の検出の
際、トンネル履工表面11を加熱した際に析出物14も
加熱されてその温度が上昇するが、析出物14はトンネ
ル履工表面11に付着しただけなので、析出物14とト
ンネル履工表面11との間には空気の層があり、履工内
の剥離と同様に熱がトンネル履工背面12に逃げていか
ないため温度が低下しにくい。[0012] In detecting the peeling shown in Fig. 5, the deposit 14 is also heated when the surface 11 of the tunnel footwear is heated, and the temperature thereof rises. Since it only adheres to the surface 11, there is an air layer between the precipitate 14 and the surface 11 of the tunnel footwear, so that the heat does not escape to the back surface 12 of the tunnel footwear as in the case of separation inside the footwear, and the temperature drops. Hard to do.
【0013】このことにより析出物14は剥離と同様に
赤外線カメラ2で撮影すると周囲より高温の領域として
検出されて、剥離の場合と区別が不可能であることか
ら、従来装置の検出した剥離領域には、剥離していない
でトンネル履工壁面上に析出した析出物が含まれてお
り、トンネル履工の劣化判定の上で非常に重要な剥離検
出の信頼性を損なっていた。また、従来装置で可視画像
の画像処理解析から判定していた汚損の領域にも、汚損
と析出物の表面とが同じ性状であることから、析出物が
含まれており、可視画像処理解析ではその区別が不可能
であった。As a result, when the deposit 14 is photographed by the infrared camera 2 as in the case of peeling, it is detected as a region having a temperature higher than the surroundings and cannot be distinguished from the case of peeling. Therefore, the peeled region detected by the conventional apparatus is detected. Contains the deposits that had not been peeled off and deposited on the wall surface of the tunnel footwear, which impaired the reliability of peeling detection, which is very important in determining the deterioration of the tunnel footwear. In addition, since the stain and the surface of the deposit have the same properties as the area of the stain determined by the image processing analysis of the visible image in the conventional apparatus, the deposit is included in the visible image processing analysis. The distinction was impossible.
【0014】[0014]
【課題を解決するための手段】上記課題を解決する本発
明の請求項1に係る壁面検査装置は、検査対象となる壁
面を熱する加熱手段と、加熱後の壁面の温度分布を検出
する温度分布検出手段と、壁面の輝度を検出する輝度検
出手段とを有する壁面検査装置において、温度分布検出
手段で検出した温度分布の高温領域を判定する高温領域
判定部と、輝度検出手段で検出した輝度から輝度レベル
が低く且つ輝度レベルの偏差が大きい低輝度・高輝度偏
差領域を判定する低輝度・高輝度偏差領域判定部と、高
温領域判定部で判定された高温領域から低輝度・高輝度
偏差領域判定部で判定された低輝度・高輝度偏差領域を
除外して残りの領域を剥離と判定する剥離判定部とを有
することを特徴とする。A wall surface inspection apparatus according to claim 1 of the present invention which solves the above problems is a heating means for heating a wall surface to be inspected, and a temperature for detecting a temperature distribution of the wall surface after heating. In a wall surface inspection device having a distribution detecting means and a brightness detecting means for detecting the brightness of the wall surface, a high temperature area judging section for judging a high temperature area of the temperature distribution detected by the temperature distribution detecting means, and a brightness detected by the brightness detecting means From the low brightness / high brightness deviation area determination unit that determines the low brightness / high brightness deviation area where the brightness level is low and the deviation of the brightness level is large, and the low brightness / high brightness deviation from the high temperature area determined by the high temperature area determination unit It is characterized by including a peeling determination unit that excludes the low-luminance / high-luminance deviation region determined by the region determination unit and determines the remaining region as peeling.
【0015】上記課題を解決する本発明の請求項2に係
る壁面検査装置は、請求項1において、前記剥離判定部
により除外された領域を析出物領域と判定する析出物領
域判定部を有することを特徴とする。A wall surface inspection apparatus according to a second aspect of the present invention for solving the above-mentioned problems is that in the first aspect, it has a deposit area determination section that determines the area excluded by the separation determination section as a deposit area. Is characterized by.
【0016】上記課題を解決する本発明の請求項3に係
る壁面検査装置は、検査対象となる壁面を熱する加熱手
段と、加熱後の壁面の温度分布を検出する温度分布検出
手段と、壁面の輝度を検出する輝度検出手段とを有する
壁面検査装置において、温度分布検出手段で検出した温
度分布の高温領域を判定する高温領域判定部と、輝度検
出手段で検出した輝度から輝度レベルが低く且つ輝度レ
ベルの偏差が大きい低輝度・高輝度偏差領域を判定する
低輝度・高輝度偏差領域判定部と、低輝度・高輝度偏差
領域判定部で判定された低輝度・高輝度偏差領域から高
温領域判定部で判定された高温領域を除外して残りの領
域を汚損と判定する汚損判定部とを有することを特徴と
する。A wall surface inspection apparatus according to a third aspect of the present invention which solves the above problems is a heating means for heating a wall surface to be inspected, a temperature distribution detecting means for detecting a temperature distribution of the heated wall surface, and a wall surface. In a wall surface inspection device having a brightness detecting means for detecting the brightness of, a high temperature area judging section for judging a high temperature area of the temperature distribution detected by the temperature distribution detecting means, and a brightness level low from the brightness detected by the brightness detecting means and A low-luminance / high-luminance deviation region determination unit that determines a low-luminance / high-luminance deviation region with a large luminance level deviation, and a high-temperature region from the low-luminance / high-luminance deviation region determined by the low-luminance / high-luminance deviation region determination unit A high-temperature area determined by the determination section is excluded, and the remaining area is determined as a stain determination section.
【0017】上記課題を解決する本発明の請求項4に係
る壁面検査装置は、請求項3において、前記汚損判定部
により除外された領域を析出物領域と判定する析出物領
域判定部を有することを特徴とする。A wall surface inspection apparatus according to claim 4 of the present invention which solves the above-mentioned problems is that in claim 3, the wall surface inspection device has a deposit area determination section for determining an area excluded by the stain determination section as a deposit area. Is characterized by.
【0018】[0018]
【発明の実施の形態】本発明の実施の形態について、図
面に示す実施例を参照して詳細に説明する。本発明の一
実施例に係るトンネル履工壁面変状検出装置を図1に示
す。図1に示すように、このトンネル履工壁面変状検出
装置は、加熱装置1と、照明4、赤外線カメラ2及び可
視カメラ3を有する検査装置と、記録装置5と、画像処
理解析装置8等により構成されている。BEST MODE FOR CARRYING OUT THE INVENTION Embodiments of the present invention will be described in detail with reference to the examples shown in the drawings. FIG. 1 shows a tunnel shoe wall surface deformation detecting device according to an embodiment of the present invention. As shown in FIG. 1, this tunnel shoe wall surface deformation detecting device includes a heating device 1, an inspection device having an illumination 4, an infrared camera 2 and a visible camera 3, a recording device 5, an image processing analysis device 8 and the like. It is composed by.
【0019】赤外線カメラ2は、加熱装置1により均一
に加熱されたトンネル履工表面から放出する赤外線を、
ある程度時間をおいて検知し、赤外線画像を取得する。The infrared camera 2 emits infrared rays emitted from the surface of the tunnel shoe uniformly heated by the heating device 1.
It takes some time to detect and acquire an infrared image.
【0020】可視カメラ3は、照明4により照らされる
トンネル履工壁面の可視画像を取得する。赤外線カメラ
2、可視カメラ3で取得した赤外線画像及び可視画像
は、記録装置5に取り込まれ、記録媒体6に記録され
る。The visible camera 3 acquires a visible image of the wall surface of the tunnel construction illuminated by the illumination 4. The infrared image and the visible image acquired by the infrared camera 2 and the visible camera 3 are taken into the recording device 5 and recorded in the recording medium 6.
【0021】この記録媒体6に記録された画像データ
は、外部の再生装置7で画像として再生し、これを画像
処理解析装置8に取り込む。画像処理解析装置8による
判定検出の結果は、マップ等の形式でモニタ9やプリン
タ10等の外部出力に出力される。画像処理解析装置8
は、取り込まれた赤外線画像と可視画像を複合して画像
処理解析し、図2に示す判定検出フローに従って、剥
離、析出物、汚損等を分離して検出する。The image data recorded on the recording medium 6 is reproduced as an image by an external reproducing device 7 and taken into the image processing analysis device 8. The result of the determination detection by the image processing analysis device 8 is output to an external output such as the monitor 9 or the printer 10 in the form of a map or the like. Image processing analysis device 8
Performs image processing analysis by combining the captured infrared image and visible image, and separates and detects peeling, deposits, stains and the like according to the determination detection flow shown in FIG.
【0022】即ち、この画像処理解析装置8は、図2に
示す判定検出フローの各処理を実行する機能である高温
領域判定部、低輝度・高輝度偏差領域判定部、剥離判定
部、析出物領域判定部及び汚損判定部を有する。高温領
域判定部は、温度分布検出手段である赤外線カメラ2で
検出した温度分布の高温領域を判定する手段である(図
2のステップ3参照)。That is, the image processing analysis device 8 has a function of executing each processing of the determination and detection flow shown in FIG. 2, a high temperature area determination section, a low brightness / high brightness deviation area determination section, a separation determination section, and a deposit. It has a region determination unit and a stain determination unit. The high temperature region determination unit is a unit that determines the high temperature region of the temperature distribution detected by the infrared camera 2 that is the temperature distribution detection unit (see step 3 in FIG. 2).
【0023】低輝度・高輝度偏差領域判定部は、輝度検
出手段である可視カメラ3で検出した輝度から輝度レベ
ルが低く且つ輝度レベルの偏差が大きい低輝度・高輝度
偏差領域を判定する手段である(図2のステップ5又は
11参照)。剥離判定部は、高温領域判定部で判定され
た高温領域から低輝度・高輝度偏差領域判定部で判定さ
れた低輝度・高輝度偏差領域を除外して残りの領域を剥
離と判定する機能を有する(図2のステップ3,5及び
6参照)。The low brightness / high brightness deviation area judging section is a means for judging a low brightness / high brightness deviation area having a low brightness level and a large deviation of the brightness level from the brightness detected by the visible camera 3 which is the brightness detecting means. Yes (see step 5 or 11 in FIG. 2). The peeling determination unit excludes the low luminance / high luminance deviation region determined by the low luminance / high luminance deviation region determination unit from the high temperature region determined by the high temperature region determination unit and determines the remaining region as peeling. Yes (see steps 3, 5 and 6 in FIG. 2).
【0024】析出物領域判定部は、前記剥離判定部によ
り除外された領域を析出物領域と判定する機能を有する
(図2のステップ3,5及び7参照)。汚損判定部は、
低輝度・高輝度偏差領域判定部で判定された低輝度・高
輝度偏差領域から高温領域判定部で判定された高温領域
を除外して残りの領域を汚損と判定する機能を有する
(図2のステップ3,11及び12参照)。The deposit area determination unit has a function of determining the area excluded by the separation determination unit as a deposit area (see steps 3, 5 and 7 in FIG. 2). The stain determination unit
The low-luminance / high-luminance deviation region determination unit has a function of excluding the high-temperature region determined by the high-temperature region determination unit from the low-luminance / high-luminance deviation region determined, and determining the remaining region as a stain (see FIG. 2). See steps 3, 11 and 12).
【0025】上記構成を有する本実施例のトンネル履工
壁面変状検出装置は、以下に示すように、図2に示す検
出判定フローに従い、析出物を剥離と汚損から分離して
判定することができる。先ず、画像処理解析装置8に赤
外線画像データを取り込み(ステップ2)。次に、赤外
線画像処理解析で周囲よりも高温な領域かどうか判定す
る(ステッブ3)。The tunnel shoe wall surface deformation detecting apparatus of the present embodiment having the above-mentioned structure can judge by separating the deposit from the peeling and the stain according to the detection judging flow shown in FIG. 2 as described below. it can. First, infrared image data is loaded into the image processing analysis device 8 (step 2). Next, it is determined by infrared image processing analysis whether or not the area is hotter than the surrounding area (step 3).
【0026】周囲温度よりも高温と判定した場合は、同
じ箇所の可視画像データを画像解析処理装置8に取り込
み(ステップ4)、引き続き、汚損の特徴である画素輝
度のレベルが低くて、かつ、画素輝度レベルの偏差が大
きいかどうかを判定する(ステップ5)。判定の結果、
画素輝度レベルが低くて、かつ、画素輝度レベルの偏差
が大きい場合は析出物と判定し(ステップ7)、そうで
はない場合は剥離と判定する(ステップ6)。When it is determined that the temperature is higher than the ambient temperature, the visible image data of the same location is taken into the image analysis processing device 8 (step 4), and subsequently, the level of the pixel brightness which is the characteristic of stain is low, and It is determined whether the deviation of the pixel brightness level is large (step 5). Judgment result,
If the pixel brightness level is low and the deviation of the pixel brightness level is large, it is determined to be a deposit (step 7), and if not, it is determined to be peeling (step 6).
【0027】更に、判定した結果をマップ形式等に作成
し(ステップ8)、作成したマップをモニタ9やプリン
タ10に出力する(ステップ9)。一方、ステップ3の
赤外線画像処理解析で周囲温度よりも高温領域ではない
と判定されない場合は、同じ箇所の可視画像データを取
り込み(ステップ10)、前述のステップ5と同様な判
定をして(ステップ11)、輝度レベルが小さく、かつ
輝度レベルの偏差が大きいと判定した場合は汚損と判定
し(ステップ12)、そうではないと判定した場合は正
常箇所と判定する(ステップ13)。Further, the determined result is created in a map format or the like (step 8), and the created map is output to the monitor 9 or the printer 10 (step 9). On the other hand, if the infrared image processing analysis in step 3 does not determine that the temperature is not higher than the ambient temperature, the visible image data of the same location is fetched (step 10), and the same determination as in step 5 described above is performed (step 10). 11) If it is determined that the brightness level is low and the deviation of the brightness level is large, it is determined as stain (step 12), and if not, it is determined as a normal part (step 13).
【0028】その結果をマップ形式等に作成し(ステッ
プ8)、外部出力する(ステップ9)。このように、本
実施例のトンネル履工壁面変状検出装置は、赤外線画像
処理解析と可視画像処理解析を複合して判定することに
より、今まで判定が不可能であった析出物を剥離と汚損
から分離して判定することができる。The result is created in a map format or the like (step 8) and externally output (step 9). As described above, the tunnel shoe wall surface deformation detecting apparatus of the present embodiment determines that the precipitates, which could not be determined up to now, are peeled off by performing the determination by combining the infrared image processing analysis and the visible image processing analysis. It can be determined separately from fouling.
【0029】即ち、従来装置では、赤外画像と可視画像
とを独立して個別に画像処理解析していたため、析出物
と剥離及び析出物と汚損の区別が不可能であり、トンネ
ル履工の劣化判定に非常に重要な剥離の検出結果の中に
履工壁面上の析出物も含まれており、剥離の検出信頼性
が低かったのに対し、本実施例では、二つの画像処理を
複合したため、析出物を剥離と汚損から分離して判定す
ることができるのである。これにより、トンネル履工の
劣化判定で非常に重要な剥離の検出をするに当たって、
析出物を剥離と誤判定することなく、剥離のみを検出で
きるので、剥離の検出信頼性を向上させることができ、
トンネル履工の劣化判定の信頼性向上に大きく寄与する
ことができる。That is, in the conventional apparatus, since the infrared image and the visible image are independently image-processed and analyzed, it is impossible to distinguish between the deposit and the peeling and the deposit and the stain. In the detection result of peeling, which is very important for deterioration determination, the deposits on the wall surface of the footwear were also included, and the reliability of detection of peeling was low, whereas in this example, two image processings were combined. Therefore, the deposit can be determined separately from the peeling and the stain. This makes it possible to detect peeling, which is very important in determining the deterioration of tunnel footwear.
Only the peeling can be detected without misjudging the deposit as the peeling, so that the detection reliability of the peeling can be improved,
It can greatly contribute to improving the reliability of the deterioration determination of tunnel shoes.
【0030】[0030]
【発明の効果】以上、実施例に基づいて具体的に説明し
たように、本発明の請求項1に係る壁面検査装置は、検
査対象となる壁面を熱する加熱手段と、加熱後の壁面の
温度分布を検出する温度分布検出手段と、壁面の輝度を
検出する輝度検出手段とを有する壁面検査装置におい
て、温度分布検出手段で検出した温度分布の高温領域を
判定する高温領域判定部と、輝度検出手段で検出した輝
度から輝度レベルが低く且つ輝度レベルの偏差が大きい
低輝度・高輝度偏差領域を判定する低輝度・高輝度偏差
領域判定部と、高温領域判定部で判定された高温領域か
ら低輝度・高輝度偏差領域判定部で判定された低輝度・
高輝度偏差領域を除外して残りの領域を剥離と判定する
剥離判定部とを有するので、判定結果の中から剥離のみ
を分離してその検出信頼性を高めることができる。As described above concretely on the basis of the embodiments, the wall surface inspection apparatus according to claim 1 of the present invention comprises a heating means for heating the wall surface to be inspected and a wall surface after heating. In a wall surface inspection device having a temperature distribution detecting means for detecting a temperature distribution and a brightness detecting means for detecting the brightness of a wall surface, a high temperature area determining section for determining a high temperature area of the temperature distribution detected by the temperature distribution detecting means, and a brightness From the low-brightness / high-brightness deviation region determination unit that determines the low-brightness / high-brightness deviation region having a low brightness level and a large deviation in the brightness level from the brightness detected by the detection means, and the high-temperature region judged by the high-temperature region judgment unit. Low brightness / high brightness
Since the high-luminance deviation region is excluded and the peeling determination unit that determines the remaining region as peeling is included, only the peeling can be separated from the determination result and the detection reliability can be improved.
【0031】また、本発明の請求項2に係る壁面検査装
置は、請求項1において、前記剥離判定部により除外さ
れた領域を析出物領域と判定する析出物領域判定部を有
するので、請求項1と同様な効果を奏する他、析出物の
検出信頼性を高めることができる。According to a second aspect of the present invention, the wall surface inspection apparatus according to the first aspect has a deposit area determination section that determines the area excluded by the separation determination section as a deposit area. In addition to the same effect as 1, the detection reliability of deposits can be improved.
【0032】また、本発明の請求項3に係る壁面検査装
置は、検査対象となる壁面を熱する加熱手段と、加熱後
の壁面の温度分布を検出する温度分布検出手段と、壁面
の輝度を検出する輝度検出手段とを有する壁面検査装置
において、温度分布検出手段で検出した温度分布の高温
領域を判定する高温領域判定部と、輝度検出手段で検出
した輝度から輝度レベルが低く且つ輝度レベルの偏差が
大きい低輝度・高輝度偏差領域を判定する低輝度・高輝
度偏差領域判定部と、低輝度・高輝度偏差領域判定部で
判定された低輝度・高輝度偏差領域から高温領域判定部
で判定された高温領域を除外して残りの領域を汚損と判
定する汚損判定部とを有するので、判定結果の中から汚
損のみを分離してその検出信頼性を高めることができ
る。According to a third aspect of the present invention, in the wall surface inspection apparatus, heating means for heating the wall surface to be inspected, temperature distribution detecting means for detecting the temperature distribution of the wall surface after heating, and brightness of the wall surface are displayed. In a wall surface inspection device having a brightness detecting unit for detecting, a high temperature region determining unit for determining a high temperature region of the temperature distribution detected by the temperature distribution detecting unit and a low brightness level and a brightness level of the brightness level from the brightness detected by the brightness detecting unit. A low-luminance / high-luminance deviation region determination unit that determines a low-luminance / high-luminance deviation region with a large deviation, and a high-temperature region determination unit from the low-luminance / high-luminance deviation region determined by the low-luminance / high-luminance deviation region determination unit Since it has a stain determination unit that excludes the determined high temperature region and determines the remaining region as stain, only the stain can be separated from the determination result and the detection reliability thereof can be improved.
【0033】また、本発明の請求項4に係る壁面検査装
置は、請求項3において、前記汚損判定部により除外さ
れた領域を析出物領域と判定する析出物領域判定部を有
するので、請求項3と同様な効果を奏する他、析出物の
検出信頼性を高めることができる。Further, the wall surface inspection apparatus according to claim 4 of the present invention has a deposit area determining section for determining the area excluded by the stain determining section as a deposit area according to claim 3, In addition to the same effect as 3, the detection reliability of deposits can be improved.
【図1】本発明の一実施例の係るトンネル履工壁面変状
検出装置の構成図である。FIG. 1 is a configuration diagram of a tunnel shoe wall surface deformation detecting device according to an embodiment of the present invention.
【図2】本発明の一実施例の係るトンネル履工壁面変状
検出装置の判定検出のフローチャートである。FIG. 2 is a flow chart of determination detection of a tunnel shoe wall surface deformation detection device according to an embodiment of the present invention.
【図3】従来のトンネル履工壁面変状検出装置の概要図
である。FIG. 3 is a schematic view of a conventional tunnel shoe wall surface deformation detection device.
【図4】従来のトンネル履工壁面変状検出装置の変状判
定検出フローチャートである。FIG. 4 is a deformation determination detection flowchart of a conventional tunnel shoe wall surface deformation detection device.
【図5】従来装置における赤外線画像から剥離を検出す
る原理の説明図である。FIG. 5 is an explanatory diagram of a principle of detecting peeling from an infrared image in a conventional device.
1 加熱装置 2 赤外線カメラ 3 可視カメラ 4 照明 5 記録装置 6 記録媒体 7 再生装置 8 画像処理解析装置 9 モニタ 10 プリンタ 1 heating device 2 infrared camera 3 visible camera 4 lighting 5 recording device 6 recording media 7 playback device 8 Image processing analyzer 9 monitors 10 Printer
───────────────────────────────────────────────────── フロントページの続き (72)発明者 本多 敏 愛知県小牧市大字東田中1200番地 三菱 重工業株式会社 名古屋誘導推進システ ム製作所内 (56)参考文献 特開 平5−307013(JP,A) 特開 平10−10064(JP,A) 特開 平6−138003(JP,A) 特開 平7−234186(JP,A) 特開 平11−259656(JP,A) 実開 昭63−170745(JP,U) 実開 昭63−170747(JP,U) 特公 平8−12163(JP,B2) 特許2556908(JP,B2) 特許2602818(JP,B2) 荻野竹敏、宮田信裕、大澤純一郎、大 川裕司、世良義宏,“赤外線を用いたト ンネル検査システムの開発(その1)− 変状検出原理について−”,土木学会年 次学術講演会講演概要集,日本,社団法 人土木学会,1997年 8月 1日,第52 回、第6部、6−260,p.520−521 大澤純一郎、宮田信裕、石坂利一、宮 田文博、本多敏,“赤外線を用いたトン ネル検査システムの開発(その2)−プ ロトタイプ機による走行性確認試験につ いて−”,土木学会年次学術講演会講演 概要集,日本,社団法人土木学会,1997 年 8月 1日,第52回、第6部、6− 261,p.522−523 佐伯喜彦、内藤健二,“営団地下鉄に おける土木建造物の検査”,日本鉄道施 設協会誌,日本,1997年 2月 1日, 第35巻、第2号,p.106−108 (58)調査した分野(Int.Cl.7,DB名) G01N 25/00 - 25/72 E21D 11/00 - 11/40 G01J 5/00 - 5/62 G06T 1/00 G06T 7/00 JICSTファイル(JOIS)─────────────────────────────────────────────────── ─── Continuation of the front page (72) Inventor Satoshi Honda 1200, Higashi-Tanaka, Komaki City, Aichi Prefecture Mitsubishi Heavy Industries, Ltd., Nagoya Induction Propulsion System Works (56) Reference JP-A-5-307013 (JP, A) JP-A-10-10064 (JP, A) JP-A-6-138003 (JP, A) JP-A-7-234186 (JP, A) JP-A-11-259656 (JP, A) Actual development Sho-63-170745 (JP, U) Sekikai Sho 63-170747 (JP, U) Japanese Patent Publication 8-12163 (JP, B2) Patent 2556908 (JP, B2) Patent 2602818 (JP, B2) Taketoshi Ogino, Nobuhiro Miyata, Junichiro Osawa , Yuji Okawa, Yoshihiro Sera, "Development of tunnel inspection system using infrared rays (Part 1) -Principle of deformation detection-", Proceedings of the Annual Meeting of JSCE, Japan, Japan JSCE, August 1, 1997, 52nd session, Part 6, 6-260, p. 520-521 Junichiro Osawa, Nobuhiro Miyata, Toshikazu Ishizaka, Fumihiro Miyata, Satoshi Honda, "Development of tunnel inspection system using infrared rays (Part 2) -On running confirmation test by prototype machine-" , Proceedings of the Annual Meeting of JSCE, Japan, JSCE, August 1, 1997, 52nd, Part 6, 6-261, p. 522-523 Yoshihiko Saeki, Kenji Naito, “Inspection of Civil Engineering Buildings in the Subway”, Journal of Japan Railway Facilities Association, Japan, February 1, 1997, Vol. 35, No. 2, p. 106-108 (58) Fields investigated (Int.Cl. 7 , DB name) G01N 25/00-25/72 E21D 11/00-11/40 G01J 5/00-5/62 G06T 1/00 G06T 7 / 00 JISST file (JOIS)
Claims (4)
と、加熱後の壁面の温度分布を検出する温度分布検出手
段と、壁面の輝度を検出する輝度検出手段とを有する壁
面検査装置において、温度分布検出手段で検出した温度
分布の高温領域を判定する高温領域判定部と、輝度検出
手段で検出した輝度から輝度レベルが低く且つ輝度レベ
ルの偏差が大きい低輝度・高輝度偏差領域を判定する低
輝度・高輝度偏差領域判定部と、高温領域判定部で判定
された高温領域から低輝度・高輝度偏差領域判定部で判
定された低輝度・高輝度偏差領域を除外して残りの領域
を剥離と判定する剥離判定部とを有することを特徴とす
る壁面検査装置。1. A wall surface inspection apparatus comprising: heating means for heating a wall surface to be inspected; temperature distribution detecting means for detecting a temperature distribution on the wall surface after heating; and brightness detecting means for detecting the brightness of the wall surface. A high temperature region determination unit that determines a high temperature region of the temperature distribution detected by the temperature distribution detection unit, and a low brightness / high brightness deviation region where the brightness level is low and the brightness level deviation is large from the brightness detected by the brightness detection unit. Exclude the low brightness / high brightness deviation area determined by the low brightness / high brightness deviation area judgment section from the high brightness area judged by the low brightness / high brightness deviation area judgment section and the high temperature area judgment section A wall surface inspection apparatus comprising a separation determination unit that determines separation.
析出物領域と判定する析出物領域判定部を有することを
特徴とする請求項1記載の壁面検査装置。2. The wall surface inspection apparatus according to claim 1, further comprising a deposit area determination unit that determines the area excluded by the separation determination unit as a deposit area.
と、加熱後の壁面の温度分布を検出する温度分布検出手
段と、壁面の輝度を検出する輝度検出手段とを有する壁
面検査装置において、温度分布検出手段で検出した温度
分布の高温領域を判定する高温領域判定部と、輝度検出
手段で検出した輝度から輝度レベルが低く且つ輝度レベ
ルの偏差が大きい低輝度・高輝度偏差領域を判定する低
輝度・高輝度偏差領域判定部と、低輝度・高輝度偏差領
域判定部で判定された低輝度・高輝度偏差領域から高温
領域判定部で判定された高温領域を除外して残りの領域
を汚損と判定する汚損判定部とを有することを特徴とす
る壁面検査装置。3. A wall surface inspection apparatus having heating means for heating a wall surface to be inspected, temperature distribution detecting means for detecting a temperature distribution of the wall surface after heating, and brightness detecting means for detecting the brightness of the wall surface. A high temperature region determination unit that determines a high temperature region of the temperature distribution detected by the temperature distribution detection unit, and a low brightness / high brightness deviation region where the brightness level is low and the brightness level deviation is large from the brightness detected by the brightness detection unit. The low-luminance / high-luminance deviation region determination unit and the low-luminance / high-luminance deviation region determination unit excludes the high-temperature region determined by the high-temperature region determination unit from the low-luminance / high-luminance deviation region determination region A wall surface inspection device comprising a stain determination unit that determines stain.
析出物領域と判定する析出物領域判定部を有することを
特徴とする請求項3記載の壁面検査装置。4. The wall surface inspection apparatus according to claim 3, further comprising a deposit area determination unit that determines the area excluded by the stain determination unit as a deposit area.
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JP2002267432A (en) * | 2001-03-14 | 2002-09-18 | Nishimatsu Constr Co Ltd | Method for detecting damage in tunnel lining surface |
JP3886875B2 (en) * | 2002-09-26 | 2007-02-28 | 三菱重工業株式会社 | Tunnel lining internal defect inspection system |
JP5218849B2 (en) * | 2009-03-13 | 2013-06-26 | 株式会社コンステック | Defect inspection equipment |
JP5564990B2 (en) * | 2010-02-26 | 2014-08-06 | 富士通株式会社 | Image processing apparatus and image processing program |
CN102182137A (en) * | 2011-02-25 | 2011-09-14 | 广州飒特电力红外技术有限公司 | Pavement defect detection system and method |
JP6821284B1 (en) * | 2020-03-24 | 2021-01-27 | 株式会社ファンクリエイト | Road surface covering sheet and road surface covering sheet inspection method |
JP7160372B2 (en) * | 2020-08-27 | 2022-10-25 | 株式会社テナーク | Infrared automatic thermal analysis and diagnosis method, information processing device, infrared automatic thermal analysis and diagnosis system, and program |
CN112665806A (en) * | 2021-01-19 | 2021-04-16 | 安徽省(水利部淮河水利委员会)水利科学研究院 | Assembled building outer wall leakage detection device and using method |
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荻野竹敏、宮田信裕、大澤純一郎、大川裕司、世良義宏,"赤外線を用いたトンネル検査システムの開発(その1)−変状検出原理について−",土木学会年次学術講演会講演概要集,日本,社団法人土木学会,1997年 8月 1日,第52回、第6部、6−260,p.520−521 |
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