JP3263318B2 - Diagnosis method of wall peeling - Google Patents
Diagnosis method of wall peelingInfo
- Publication number
- JP3263318B2 JP3263318B2 JP23036296A JP23036296A JP3263318B2 JP 3263318 B2 JP3263318 B2 JP 3263318B2 JP 23036296 A JP23036296 A JP 23036296A JP 23036296 A JP23036296 A JP 23036296A JP 3263318 B2 JP3263318 B2 JP 3263318B2
- Authority
- JP
- Japan
- Prior art keywords
- peeling
- wall surface
- area
- waveform
- peak
- 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
Landscapes
- Investigating Or Analyzing Materials By The Use Of Ultrasonic Waves (AREA)
Description
【０００１】[0001]
【発明の属する技術分野】この発明は、壁面の剥離状態
を、打診器を用いて壁面を打撃したときに発生する打撃
音を集音することにより診断するようにした壁面の剥離
診断方法に関するものである。BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method for diagnosing a peeling of a wall surface by diagnosing a peeling state of the wall surface by collecting a striking sound generated when the wall surface is hit with a percussion instrument. It is.
【０００２】[0002]
【従来の技術】従来、例えばタイル壁面の剥離状態を診
断する方法として、ハンマー等で壁面を打撃したときに
発生する打撃音を耳で聞き判定する打診方法が一般的に
行われている。しかしながら、このように、打撃音を耳
で聞き判定する方法では判定する人によって個人差が生
じ、剥離状態を正確に求めることができない。2. Description of the Related Art Conventionally, as a method for diagnosing a peeling state of a tile wall surface, for example, a percussion method for judging a sound of striking a wall surface with a hammer or the like has been generally performed. However, in the method of hearing and judging the impact sound as described above, there is an individual difference between persons who judge, and it is not possible to accurately determine the peeling state.
【０００３】図８は上述した点に鑑み剥離状態を個人差
によらず確実に判定するようにした従来例に係るタイル
壁面の剥離診断装置を説明する構成図で、同図（ａ）は
剥離診断装置の構成図、同図（ｂ）は剥離診断装置の接
触部の構成図、同図（ｃ）は剥離診断装置の診断方法を
示す説明図である。FIG. 8 is a block diagram for explaining a conventional tile wall peeling diagnosis apparatus in which the peeling state is reliably determined regardless of individual differences in view of the above points. FIG. FIG. 2B is a configuration diagram of the diagnosis device, FIG. 2B is a configuration diagram of a contact portion of the separation diagnosis device, and FIG. 2C is an explanatory diagram illustrating a diagnosis method of the separation diagnosis device.
【０００４】図８において、１は被測定壁面６の剥離状
態を診断するための剥離診断装置を示し、この剥離診断
装置１の先端には被測定壁面６に当てる壁面接触部２が
設けられ、該壁面接触部２に壁面を打撃するための打撃
球３及び打撃音を集音する集音マイク４が備えられてい
る。５はその打撃球３を被測定壁面６に打撃するための
投入用のスイッチである。In FIG. 8, reference numeral 1 denotes a peeling diagnosis device for diagnosing the peeling state of the wall surface 6 to be measured. A wall contact portion 2 for contacting the wall surface 6 to be measured is provided at the tip of the peeling diagnosis device 1. The wall contact portion 2 is provided with a hitting ball 3 for hitting the wall surface and a sound collecting microphone 4 for collecting a hitting sound. Reference numeral 5 denotes an input switch for hitting the hitting ball 3 against the wall surface 6 to be measured.
【０００５】７ａ，７ｂ，７ｃは上記打撃球３が被測定
壁面６を打撃した際に発生する打撃音を集音マイク４に
よって集音しその結果が図示しない解析装置によって解
析されて壁面の接着強度を表示するようにされた３色の
発光ダイオードを示し、接着強度が４ｋｇ／ｃｍ2以上
であれば青色の発光ダイオード７ａ、１〜４ｋｇ／ｃｍ
2であれば黄色の発光ダイオード７ｃ、０〜１ｇ／ｃｍ2
であれば赤色の発光ダイオード７ｂによってそれぞれ表
R>示するようになっている。[0005] 7a, 7b, 7c collects the impact sound generated when the impact ball 3 hits the wall surface 6 to be measured by the sound collecting microphone 4, and the result is analyzed by an analyzing device (not shown) to bond the wall surface. 3 shows light-emitting diodes of three colors adapted to display intensity; if the adhesive strength is 4 kg / cm 2 or more, blue light-emitting diodes 7a, 1-4 kg / cm
If it is 2 , the yellow light emitting diode 7c, 0 to 1 g / cm 2
In this case, each is indicated by the red light emitting diode 7b.
R> as shown.
【０００６】したがって、上記構成に係る剥離診断装置
１の先端に設けられた壁面接触部２を被測定壁面６に当
ててスイッチ５を投入することにより、打撃球３が被測
定壁面６を打撃することになり、その際、発生する打撃
音が集音マイク４に集音され解析装置によってその打撃
音が解析されて、被測定壁面６の接着強度を３つの発光
ダイオード７ａないし７ｃによって表示することがで
き、剥離状態を判定して部分補修することにより、経費
の節減、リフォームの安全性を高めることができる。Accordingly, the hitting ball 3 hits the wall surface 6 to be measured by applying the switch 5 with the wall surface contact portion 2 provided at the tip of the peeling diagnosis apparatus 1 having the above-mentioned configuration being applied to the wall surface 6 to be measured. That is, at that time, the hitting sound generated is collected by the sound collecting microphone 4, and the hitting sound is analyzed by the analyzer, and the adhesive strength of the measured wall 6 is displayed by the three light emitting diodes 7a to 7c. By performing the partial repair by judging the peeling state, it is possible to reduce the cost and enhance the safety of the reform.
【０００７】[0007]
【発明が解決しようとする課題】しかしながら、上述し
た従来の壁面の剥離診断装置においては、被測定壁面６
の接着強度を３色の発光ダイオード７ａないし７ｃによ
って識別することができても、剥離の深さ等剥離の程度
を正確に検知することができなかった。However, in the above-described conventional apparatus for diagnosing wall peeling, the wall surface to be measured 6
However, even if the adhesive strength could be identified by the light emitting diodes 7a to 7c of three colors, the degree of peeling such as the depth of peeling could not be detected accurately.
【０００８】この発明は、上記のような従来例の問題点
を解消するためになされたもので、剥離の深さ等剥離状
態を正確に診断することができる壁面の剥離診断方法を
得ることを目的とする。SUMMARY OF THE INVENTION The present invention has been made to solve the above-mentioned problems of the prior art, and an object of the present invention is to provide a method of diagnosing a peeling of a wall surface capable of accurately diagnosing a peeling state such as a peeling depth. Aim.
【０００９】[0009]
【課題を解決するための手段】この発明に係る壁面の剥
離診断方法は、被測定壁面を打撃した際の打撃音を集音
して該打撃音の波形をスペクトル分析し、そのパワース
ペクトル密度に基づいて被測定壁面の剥離部を判定する
ようにした壁面の剥離診断方法において、スペクトル波
形の特徴量として、横軸を所定の周波数範囲とすると共
に縦軸の上限をスペクトル波形のピーク点としその下限
を０として描かれたパワースペクトル波形と前記ピーク
点を通り横軸に平行な直線との間で挟まれる面積中、ス
ペクトル波形の前記ピーク点に対応する共振周波数と周
波数範囲の下限値との間の第１の面積と、スペクトル波
形の前記ピーク点に対応する共振周波数と周波数範囲の
上限値との間の第２の面積と、第１と第２の面積比とを
抽出し、これら抽出された特徴量に基づいて剥離部を判
定することを特徴とするものである。A method of diagnosing separation of a wall surface according to the present invention collects a striking sound when striking a wall surface to be measured, analyzes the waveform of the striking sound, and analyzes the power spectrum density. In a method of diagnosing a peeling of a wall surface based on which a peeling portion of a measured wall surface is determined, as a characteristic amount of a spectral waveform, the horizontal axis is a predetermined frequency range and the upper limit of the vertical axis is a peak point of the spectral waveform. power spectrum waveform and the peak of the lower drawn as a 0
Area was sandwiched between a straight line parallel to the street abscissa point, a first area between the lower limit value of the resonance frequency and the frequency range corresponding to the peak point of the spectrum waveform, the peak of the spectral waveform Extracting a second area between a resonance frequency corresponding to a point and an upper limit value of a frequency range and a first to second area ratio, and determining a peeling portion based on the extracted feature amount; It is characterized by the following.
【００１０】また、上記第１と第２の面積比の周波数変
移に基づいて剥離部の深さの度合いを判定することを特
徴とするものである。Further, the present invention is characterized in that the degree of the depth of the peeled portion is determined based on the frequency shift of the first and second area ratios.
【００１１】[0011]
実施の形態１．以下、この発明の実施の形態を図に基づ
いて説明する。図１はこの発明で用いる壁面の剥離診断
装置を示す構成図である。図示構成の剥離診断装置１０
は、図８に示す従来例と基本的に同様な構成を備える
が、集音マイク４は装置本体側に取り付けられると共
に、この集音マイク４に信号処理器８が接続され、信号
処理器８は、被測定壁面を打撃した際の打撃音の集音結
果から該打撃音の波形をスペクトル分析し、そのパワー
スペクトル密度に基づいてスペクトル波形の特徴量を抽
出し、この抽出された特徴量に基づいて剥離部を判定す
るようになされ、その判定結果を表示板９により表示す
るようになっている。Embodiment 1 FIG. Hereinafter, embodiments of the present invention will be described with reference to the drawings. FIG. 1 is a configuration diagram showing a wall peeling diagnosis device used in the present invention. Exfoliation diagnostic apparatus 10 of illustrated configuration
Has a configuration basically similar to that of the conventional example shown in FIG. 8, but the sound collecting microphone 4 is attached to the apparatus main body side, and a signal processor 8 is connected to the sound collecting microphone 4, Performs a spectrum analysis of a waveform of the striking sound from a sound collection result of the striking sound when striking the measured wall surface, and extracts a characteristic amount of a spectral waveform based on the power spectral density. The peeled portion is determined based on the information, and the result of the determination is displayed on the display panel 9.
【００１２】上記剥離診断装置１０による一連の動作の
流れを図２を参照して説明する。まず、被測定壁面６に
壁面接触部２を当てスイッチ５を入れると、打撃球３が
被測定壁面６を打診する（ステップＳ１）。その打撃音
を集音マイク４で集音する（ステップＳ２）。その音響
はアナログ波形のため、信号処理器８は、処理しやすい
応答波形を得るようにデジタル変換して収録する（ステ
ップＳ３）。信号処理器８は、得られた応答波形を周波
数スペクトル分析し（スペクトルＳ４）、パターン認識
する（ステップＳ５）。A flow of a series of operations by the peeling diagnosis apparatus 10 will be described with reference to FIG. First, when the switch 5 is turned on by applying the wall contact portion 2 to the wall surface 6 to be measured, the hitting ball 3 hits the wall surface 6 to be measured (step S1). The striking sound is collected by the sound collecting microphone 4 (step S2). Since the sound is an analog waveform, the signal processor 8 digitally converts and records the response waveform so as to obtain a response waveform that is easy to process (step S3). The signal processor 8 analyzes the frequency spectrum of the obtained response waveform (spectrum S4) and recognizes the pattern (step S5).
【００１３】上記信号処理器８によるパターン認識は、
図３に示すように、パワースペクトル密度からスペクト
ル波形の特徴量を抽出して抽出された特徴量に基づいて
剥離部を判定する。ここで、スペクトル波形の面積は
１．０ｐｕになるように正規化されており、周波数範囲
の下限値ｆｍｉｎは０Ｈｚ、上限値ｆｍａｘは人間の官
能試験との整合性を取るため可聴周波数の上限値である
１２，０００Ｈｚとしている。図３に示すスペクトル波
形のピーク値は、打撃音の周波数が尖鋭なほど大きくな
り、したがって、図３に斜線で示す周波数範囲が共振周
波数と周波数範囲の下限値との間の面積Ａ、同じく周波
数範囲が共振周波数と周波数範囲の上限値との間の面積
Ｂ共に大きくなる。主たる共振周波数ｆ0 が低いほど面
積Ａは小さく、面積Ｂは大きくなる。The pattern recognition by the signal processor 8 is as follows.
As shown in FIG. 3, the characteristic amount of the spectrum waveform is extracted from the power spectral density, and the peeling portion is determined based on the extracted characteristic amount. Here, the area of the spectrum waveform is normalized so as to be 1.0 pu, the lower limit value fmin of the frequency range is 0 Hz, and the upper limit value fmax is the upper limit value of the audible frequency in order to obtain consistency with the human sensory test. 12,000 Hz. The peak value of the spectrum waveform shown in FIG. 3 increases as the frequency of the striking sound becomes sharper. Therefore, the frequency range indicated by hatching in FIG. 3 is the area A between the resonance frequency and the lower limit of the frequency range. The range increases with the area B between the resonance frequency and the upper limit of the frequency range. The area A is smaller and the area B is larger as the main resonance frequency f 0 is lower.
【００１４】上記信号処理器８は、図３に示すパワース
ペクトル密度からスペクトル波形の特徴量として、面積
Ａ、面積Ｂ及びそれらの面積比（共振周波数ｆ0 の位
置）の３種類の特徴量を抽出し、抽出された特徴量に基
づいて剥離部を判定し、その結果を表示板９に表示、保
存する（ステップＳ６）。また、上記信号処理器８は、
図４に示すように、面積比の周波数変移に基づいて剥離
部の深さの度合いを判定し、その結果を表示板９に表
示、保存する（ステップＳ６）。すなわち、同図（ａ）
は剥離部の深さが１５ｍｍ、同図（ｂ）は剥離部の深さ
が２０ｍｍ、同図（ｃ）は剥離部の深さが３０ｍｍ、同
図（ｄ）は正常な場合をそれぞれ示し、剥離部の深さが
増すほど周波数のピーク点が右側に変移することが理解
されよう。このように、剥離部の深さが増すほどピーク
点（主共振周波数）が周波数の高い右側へ変移している
理由は、剥離部が深くなるほど、剥離部の厚さが大きく
剛性が大きくなるため、打撃音の周波数が高くなるため
である。The signal processor 8 uses the power spectrum density shown in FIG. 3 to calculate three types of characteristic quantities of the area A, the area B and their area ratio (the position of the resonance frequency f 0 ) as the characteristic quantities of the spectrum waveform. The extracted portion is determined based on the extracted feature amount, and the result is displayed and stored on the display panel 9 (step S6). Further, the signal processor 8 includes:
As shown in FIG. 4, the degree of the depth of the peeled portion is determined based on the frequency shift of the area ratio, and the result is displayed and stored on the display panel 9 (step S6). That is, FIG.
Is a case where the depth of the peeled portion is 15 mm, FIG. 4B is a case where the depth of the peeled portion is 20 mm, FIG. 4C is a case where the depth of the peeled portion is 30 mm, and FIG. It can be seen that the peak of the frequency shifts to the right as the depth of the peeled portion increases. As described above, the reason why the peak point (main resonance frequency) shifts to the right side where the frequency is higher as the depth of the peeled portion increases is that the deeper the peeled portion, the greater the thickness of the peeled portion and the greater the rigidity. This is because the frequency of the impact sound increases.
【００１５】このような特徴量に基づき剥離部の状態を
どの程度判定できるかを調べた結果、３種類の特徴量に
基づく判定がファジイ理論において最も正答率が高いこ
とが実験結果により判明された。すなわち、図５は特徴
量として面積Ａ、面積Ｂ、それらの面積比Ａ／Ｂの３種
類の特徴量を取った場合、図６は特徴量として面積Ａ、
面積Ｂの２種類の特徴量を取った場合、図７は特徴量と
してピーク点の周波数、ピーク点のＰＳＤの２種類の特
徴量を取った場合における「深さ及び面積」についての
正答率、「深さ」についての正答率、「健全であるか剥
離状態であるか」についての正答率をそれぞれ示したも
ので、これら図から理解されるように、図５に示す３種
類の特徴量に基づく剥離診断が深さや大きさの異なる剥
離部の診断に最も好ましいものであることが確認され
た。As a result of examining the extent to which the state of the peeled portion can be determined based on such characteristic amounts, it was found from experimental results that the determination based on three types of characteristic amounts has the highest correct answer rate in fuzzy logic. . That is, FIG. 5 shows three types of feature amounts, that is, area A, area B, and their area ratio A / B as feature amounts. FIG.
FIG. 7 shows a case where two kinds of feature amounts of the area B are taken, and FIG. 7 shows the correct answer rate of “depth and area” when two kinds of feature amounts of the peak point PSD and the peak point are taken as the feature amounts. The correct answer rate for "depth" and the correct answer rate for "whether sound or peeled" are shown. As can be understood from these figures, the three types of feature quantities shown in FIG. It was confirmed that the peeling diagnosis based on the peeling was the most preferable for the diagnosis of the peeled portions having different depths and sizes.
【００１６】[0016]
【発明の効果】以上のように、この発明によれば、被測
定壁面を打撃した際の打撃音を集音して該打撃音の波形
をスペクトル分析し、そのパワースペクトル密度に基づ
いて被測定壁面の剥離部を判定するようにした壁面の剥
離診断方法において、スペクトル波形の特徴量として、
横軸を所定の周波数範囲とすると共に縦軸の上限をスペ
クトル波形のピーク点としその下限を０として描かれた
パワースペクトル波形と前記ピーク点を通り横軸に平行
な直線との間で挟まれる面積中、スペクトル波形の前記
ピーク点に対応する共振周波数と周波数範囲の下限値と
の間の第１の面積と、スペクトル波形の前記ピーク点に
対応する共振周波数と周波数範囲の上限値との間の第２
の面積と、第１と第２の面積比とを抽出し、これら抽出
された特徴量に基づいて剥離部を判定することにより、
深さや大きさの異なる剥離部の剥離状態を正確に診断す
ることができる。As described above, according to the present invention, a striking sound when a striking wall surface is measured is collected, the waveform of the striking sound is analyzed, and the measured sound is measured based on the power spectrum density. In the method of diagnosing the peeling of the wall surface to determine the peeling portion of the wall surface,
The upper limit of the vertical axis is the peak point of the spectrum waveform is the lower limit drawn as a 0 as well as the horizontal axis and the predetermined frequency range
Parallel to the horizontal axis passing through the power spectrum waveform and the peak point
Area was sandwiched between a straight line, the spectral waveform
A first area between the lower limit value of the resonance frequency and the frequency range corresponding to the peak point, the peak point of the spectrum waveform
The second between the corresponding resonance frequency and the upper limit of the frequency range
And the first and second area ratios are extracted, and the peeling portion is determined based on the extracted feature amounts,
It is possible to accurately diagnose the peeled state of the peeled portions having different depths and sizes.
【００１７】また、上記第１と第２の面積比の周波数変
移に基づいて剥離部の深さの度合いを正確に判定するこ
とができる。Further, the degree of the depth of the peeled portion can be accurately determined based on the frequency shift of the first and second area ratios.
【図１】 この発明で用いる壁面の剥離診断装置を示す
全体構成図である。FIG. 1 is an overall configuration diagram showing a wall peeling diagnosis apparatus used in the present invention.
【図２】 図１の剥離診断装置による動作を説明する流
れ図である。FIG. 2 is a flowchart illustrating an operation of the peeling diagnosis apparatus of FIG. 1;
【図３】 パターン認識のために正規化されたスペクト
ル波形と特徴量を説明するための波形図である。FIG. 3 is a waveform chart for explaining a spectrum waveform and a feature amount normalized for pattern recognition.
【図４】 剥離部の深さの判定についての説明図であ
る。FIG. 4 is an explanatory diagram for determining the depth of a peeled portion.
【図５】 特徴量として面積Ａ、面積Ｂ、それらの面積
比Ａ／Ｂの３種類の特徴量を取った場合の正答率を示す
説明図である。FIG. 5 is an explanatory diagram showing a correct answer rate when three types of feature amounts of an area A, an area B, and an area ratio A / B thereof are taken as the feature amounts;
【図６】 特徴量として面積Ａ、面積Ｂの２種類の特徴
量を取った場合の正答率を示す説明図である。FIG. 6 is an explanatory diagram showing a correct answer rate when two types of feature amounts, area A and area B, are taken as feature amounts;
【図７】 特徴量としてピーク点の周波数、ピーク点の
ＰＳＤの２種類の特徴量を取った場合の正答率を示す説
明図である。FIG. 7 is an explanatory diagram showing a correct answer rate when two types of feature amounts, a peak point frequency and a peak point PSD, are taken as feature amounts;
【図８】 従来例に係るタイル壁面の剥離診断装置の説
明図である。FIG. 8 is an explanatory view of a tile wall peeling diagnosis apparatus according to a conventional example.
１０ 剥離診断装置、２ 壁面接触部、３ 打撃球、４
集音マイク、８ 信号処理器、９ 表示板。10 Peeling diagnosis device, 2 wall contact part, 3 impact ball, 4
Sound collecting microphone, 8 signal processor, 9 display board.
───────────────────────────────────────────────────── フロントページの続き (56)参考文献 川田明、林重雄，ニューラルネットワ ークによる壁画剥離診断法，技苑，日 本，80号，16−20頁 (58)調査した分野(Int.Cl.7，ＤＢ名) G01N 29/00 - 29/28 ＪＩＣＳＴファイル（ＪＯＩＳ)────────────────────────────────────────────────── ─── Continuation of the front page (56) References Akira Kawada, Shigeo Hayashi, Diagnosis method of wall painting with neural network, Gi-en, Japan, No. 80, pp. 16-20 (58) Fields surveyed (Int. Cl 7, DB name) G01N 29/00 -. 29/28 JICST file (JOIS)
Claims (2)
して該打撃音の波形をスペクトル分析し、そのパワース
ペクトル密度に基づいて被測定壁面の剥離部を判定する
ようにした壁面の剥離診断方法において、スペクトル波
形の特徴量として、横軸を所定の周波数範囲とすると共
に縦軸の上限をスペクトル波形のピーク点としその下限
を０として描かれたパワースペクトル波形と前記ピーク
点を通り横軸に平行な直線との間で挟まれる面積中、ス
ペクトル波形の前記ピーク点に対応する共振周波数と周
波数範囲の下限値との間の第１の面積と、スペクトル波
形の前記ピーク点に対応する共振周波数と周波数範囲の
上限値との間の第２の面積と、第１と第２の面積比とを
抽出し、これら抽出された特徴量に基づいて剥離部を判
定することを特徴とする壁面の剥離診断方法。1. A wall surface which collects a striking sound when striking a wall surface to be measured, performs a spectrum analysis of a waveform of the striking sound, and determines a peeling portion of the wall surface to be measured based on its power spectrum density. in the peeling diagnostic method, as a feature of the spectrum waveform, the peak upper limit of the vertical axis the peak point of the spectrum waveform and power spectrum waveform drawn the lower limit set to 0 as well as the horizontal axis and the predetermined frequency range
Area was sandwiched between a straight line parallel to the street abscissa point, a first area between the lower limit value of the resonance frequency and the frequency range corresponding to the peak point of the spectrum waveform, the peak of the spectral waveform Extracting a second area between a resonance frequency corresponding to a point and an upper limit value of a frequency range and a first to second area ratio, and determining a peeling portion based on the extracted feature amount; A method for diagnosing peeling of a wall surface, characterized in that:
いて、上記第１と第２の面積比の周波数変移に基づいて
剥離部の深さの度合いを判定することを特徴とする壁面
の剥離診断方法。2. The method for diagnosing wall separation according to claim 1, wherein the degree of the depth of the separation portion is determined based on a frequency shift of the first and second area ratios. Diagnostic method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP23036296A JP3263318B2 (en) | 1996-08-30 | 1996-08-30 | Diagnosis method of wall peeling |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP23036296A JP3263318B2 (en) | 1996-08-30 | 1996-08-30 | Diagnosis method of wall peeling |
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| Publication Number | Publication Date |
|---|---|
| JPH1073573A JPH1073573A (en) | 1998-03-17 |
| JP3263318B2 true JP3263318B2 (en) | 2002-03-04 |
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ID=16906676
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|---|---|---|---|
| JP23036296A Expired - Fee Related JP3263318B2 (en) | 1996-08-30 | 1996-08-30 | Diagnosis method of wall peeling |
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| EP0686971B1 (en) | 1994-06-07 | 2002-02-06 | Hitachi, Ltd. | Information storing device and method for controlling same to record/reproduce information by selecting one of working modes |
| JP4162967B2 (en) * | 2001-10-12 | 2008-10-08 | 積水化学工業株式会社 | Inspection method for reinforced concrete pipes |
| CA2486366C (en) | 2002-05-08 | 2010-09-21 | Sekisui Chemical Co., Ltd. | Method and equipment for inspecting reinforced concrete pipe |
| JP4952054B2 (en) * | 2006-05-19 | 2012-06-13 | 株式会社大林組 | Tile adhesion surface peeling diagnosis method, tile adhesion surface peeling diagnosis device |
| JP5372701B2 (en) * | 2009-10-30 | 2013-12-18 | アプライドリサーチ株式会社 | Microphone for wearing hammer |
| JP6494903B2 (en) | 2013-02-14 | 2019-04-03 | ソニー株式会社 | Analysis system, analysis program, and analysis method |
| JP6487181B2 (en) * | 2014-10-24 | 2019-03-20 | 株式会社ネクスコ東日本エンジニアリング | Inspection support apparatus, inspection support method, inspection support program, and inspection support system |
| CN105021700B (en) * | 2015-07-21 | 2018-08-24 | 上海建工七建集团有限公司 | Steel core concrete column compactness detection device |
| JP6793378B2 (en) * | 2017-03-14 | 2020-12-02 | 株式会社昭和テックス | Installation inspection device for rail-mounted articles |
| JP6837641B2 (en) * | 2017-03-27 | 2021-03-03 | 株式会社昭和テックス | Installation inspection device for rail-mounted articles |
| CN110568068B (en) * | 2019-09-02 | 2022-05-27 | 黑龙江省龙丰公路工程检测有限责任公司 | Steel core concrete column compactness detects frock |
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1996
- 1996-08-30 JP JP23036296A patent/JP3263318B2/en not_active Expired - Fee Related
Non-Patent Citations (1)
| Title |
|---|
| 川田明、林重雄，ニューラルネットワークによる壁画剥離診断法，技苑，日本，８０号，１６−２０頁 |
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