JPH06118006A - Defect detector - Google Patents

Defect detector

Info

Publication number
JPH06118006A
JPH06118006A JP4265814A JP26581492A JPH06118006A JP H06118006 A JPH06118006 A JP H06118006A JP 4265814 A JP4265814 A JP 4265814A JP 26581492 A JP26581492 A JP 26581492A JP H06118006 A JPH06118006 A JP H06118006A
Authority
JP
Japan
Prior art keywords
signal
defect
detecting
reference value
waveform
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.)
Pending
Application number
JP4265814A
Other languages
Japanese (ja)
Inventor
Masayuki Unno
雅幸 海野
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Sekisui Chemical Co Ltd
Original Assignee
Sekisui Chemical Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Sekisui Chemical Co Ltd filed Critical Sekisui Chemical Co Ltd
Priority to JP4265814A priority Critical patent/JPH06118006A/en
Publication of JPH06118006A publication Critical patent/JPH06118006A/en
Pending legal-status Critical Current

Links

Landscapes

  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
  • Image Processing (AREA)
  • Image Analysis (AREA)

Abstract

PURPOSE:To classify distinct surface abnormalities due to carbide on inspected materials or due to water drops to allow the detection of specific surface abnormalities only as defects. CONSTITUTION:A defect detector 10 comprises the defect detecting part 12 which consists of a reference value setting means 31 for signals, an unsteady state detecting means 32 to detect the unsteadly state of the surface based on a shift from a reference value, a signal storing means 33 to store signals and a waveform classifying means 34 to classify surface abnormalities in accordance with the shape of waveforms.

Description

【発明の詳細な説明】Detailed Description of the Invention

【0001】[0001]

【産業上の利用分野】本発明はパイプ等の欠陥を検出す
る欠陥検出装置に関する。
BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a defect detecting device for detecting defects such as pipes.

【0002】[0002]

【従来の技術】ケーブル等の表面の欠陥を検出する装置
としては、汎用のエリアセンサを用いた画像処理方式等
の他に、タキカワエンジニアリング( 株) の「ケーブル
表面欠陥検出器(FM88,FM44 )」がある。この装置では
ケーブル表面に光を投光し、その乱反射光をレンズ系を
通して光電池で受光し、スリット状光電池の光量差を電
気信号に変換し、信号を全波整流した後にしきい値と比
較することにより表面の異常を検出している。
2. Description of the Related Art As a device for detecting a surface defect of a cable or the like, in addition to an image processing system using a general-purpose area sensor, there is also a "cable surface defect detector (FM88, FM44)" manufactured by Takikawa Engineering Co., Ltd. ) ” In this device, light is projected onto the surface of the cable, the diffused reflected light is received by the photocell through the lens system, the light amount difference of the slit photocell is converted into an electric signal, and the signal is full-wave rectified and then compared with the threshold value. Therefore, the surface abnormality is detected.

【0003】[0003]

【発明が解決しようとする課題】上記欠陥検出装置で
は、パイプの押し出し成形の過程で混入する炭化物のよ
うな欠陥の他に、水滴、成形品の白い粉状の屑など拭き
取れば落ちるような欠陥以外の表面異常も欠陥として検
出してしまう。
In the above defect detecting apparatus, in addition to defects such as carbides that are mixed in during the extrusion process of pipes, defects such as water drops and white powdery debris of molded products that fall off when wiped off. Other surface abnormalities will also be detected as defects.

【0004】本発明は、被検査体の炭化物のような表面
異常と水滴等の表面異常の如くの表面異常の差異を分類
し、特定の表面異常のみを欠陥として検出可能とするこ
とを目的とする。
An object of the present invention is to classify the difference between a surface abnormality such as a carbide and a surface abnormality such as a water droplet of an object to be inspected so that only a specific surface abnormality can be detected as a defect. To do.

【0005】[0005]

【課題を解決するための手段】本発明は、被検査体表面
からの反射光を受光する手段と受光量を電気信号に変換
する手段を複数有する信号入力部と、信号入力部からの
信号により表面の非定常性を検出し被検査体の欠陥を検
出する欠陥検出部とを有してなる欠陥検出装置であっ
て、欠陥検出部は、信号の基準値設定手段、基準値から
の変位をもとに表面の非定常性を検出する非定常性検出
手段、信号を格納する信号格納手段、信号波形の形状に
基づいて表面異常を分類する波形分類手段からなるよう
にしたものである。
According to the present invention, there is provided a signal input section having a plurality of means for receiving the reflected light from the surface of the object to be inspected and a means for converting the received light amount into an electric signal, and a signal from the signal input section. A defect detection device comprising a defect detection unit for detecting surface non-stationarity and for detecting a defect of an object to be inspected, wherein the defect detection unit includes a reference value setting means for a signal and a displacement from the reference value. Originally, it comprises non-stationarity detection means for detecting surface non-stationarity, signal storage means for storing signals, and waveform classification means for classifying surface abnormalities based on the shape of the signal waveform.

【0006】[0006]

【作用】本発明にあっては、光量差を表す電気信号を全
波整流せず正負の情報を保存し、信号の大きさをしきい
値と比較することによって検出される表面異常につい
て、信号波形の形状によって、被検査体の濃度に対して
濃度が低い炭化物のような表面異常と濃度が高い水滴等
の表面異常など表面異常の差異を分類することにより炭
化物のみを欠陥として検出する。
In the present invention, the electric signal representing the difference in light quantity is not subjected to full-wave rectification, positive and negative information is stored, and the surface abnormality detected by comparing the magnitude of the signal with a threshold value is detected. Only the carbide is detected as a defect by classifying the difference between the surface abnormality such as a carbide having a low concentration and the surface abnormality such as a water droplet having a high concentration with respect to the concentration of the object to be inspected according to the shape of the waveform.

【0007】[0007]

【実施例】図1は欠陥検出装置の一例を示すブロック
図、図2は欠陥検出装置の概要を示す模式図、図3は欠
陥検出装置の各部出力波形を示す模式図である。
1 is a block diagram showing an example of a defect detecting device, FIG. 2 is a schematic diagram showing an outline of the defect detecting device, and FIG. 3 is a schematic diagram showing output waveforms of respective parts of the defect detecting device.

【0008】欠陥検出装置10は、図1に示す如く、信
号入力部11と、欠陥検出部12と、出力部13とを有
する。
As shown in FIG. 1, the defect detection device 10 has a signal input section 11, a defect detection section 12, and an output section 13.

【0009】信号入力部11は、被検査体表面からの反
射光を受光する受光手段21と、受光手段21の受光量
を電気信号に変換する信号変換手段22とを、複数組有
する。
The signal input section 11 has a plurality of sets of light receiving means 21 for receiving the reflected light from the surface of the object to be inspected and signal converting means 22 for converting the amount of light received by the light receiving means 21 into an electric signal.

【0010】欠陥検出部12は、信号入力部11からの
信号により表面の非定常性を検出し被検査体の欠陥を検
出する。
The defect detection unit 12 detects the non-stationarity of the surface by the signal from the signal input unit 11 and detects the defect of the inspection object.

【0011】このとき、欠陥検出部12は、信号の基準
値設定手段31、基準値からの変位をもとに表面の非定
常性を検出する非定常性検出手段32、信号を格納する
信号格納手段33、信号波形の形状に基づいて表面異常
を分類する波形分類手段34とを備える。
At this time, the defect detecting section 12 includes a signal reference value setting means 31, a non-stationarity detecting means 32 for detecting surface non-stationarity based on a displacement from the reference value, and a signal storage for storing signals. Means 33, waveform classification means 34 for classifying surface abnormalities based on the shape of the signal waveform.

【0012】図2に欠陥検出装置10の概要を示す。パ
イプ表面に光を投光し、その乱反射光をレンズ系を通し
て光電池で受光し、スリット状光電池の光量を電気信号
に変換すると図3(左)のように表面異常の濃度に対応
した信号がスリットの間隔に対応した時間差で得られ
る。これを差動回路を通すことにより、被検査体の濃度
を基準とした図3(右)のような波形が得られる。この
信号は信号格納手段により保持され、スリット間隔に対
応した時間差を考慮して予め用意した正負2つのしきい
値(図中の破線)と比較することにより表面異常を検出
し、その範囲を決め、格納済み信号の該当する部分をニ
ューラルネットワーク等の波形分類手段により分類し、
炭化物に対応する表面異常のみを欠陥であると判定す
る。
FIG. 2 shows an outline of the defect detection device 10. When light is projected onto the pipe surface and the diffused reflected light is received by the photocell through the lens system and the light quantity of the slit-shaped photocell is converted into an electrical signal, the signal corresponding to the concentration of the surface abnormality is slit as shown in Fig. 3 (left). It is obtained with the time difference corresponding to the interval. By passing this through a differential circuit, a waveform as shown in FIG. 3 (right) with reference to the density of the inspection object is obtained. This signal is held by the signal storage means, and a surface abnormality is detected by comparing with a two positive and negative threshold values (broken line in the figure) prepared in advance in consideration of the time difference corresponding to the slit interval, and the range is determined. , The relevant part of the stored signal is classified by a waveform classification means such as a neural network,
Only surface anomalies corresponding to carbides are determined to be defects.

【0013】以下、本実施例の作用について説明する。
本実施例によれば、被検査体表面に光を投光し、その乱
反射光をレンズ系を通して光電池で受光し、スリット状
光電池の光量差を電気信号に変換し、光量差を表す電気
信号を全波整流せず正負の情報を保存し、信号の大きさ
をしきい値と比較することによって検出される表面異常
について、波形の形状によって欠陥の判定を行なうの
で、被検査体の濃度を基準に濃度の高低の異なる表面異
常を分類でき、更に、波形の違いとして現われる微妙な
表面異常の差異をも分類できるので、他の表面異常を欠
陥として検出することなく炭化物のみを欠陥として高速
に検出することができる。
The operation of this embodiment will be described below.
According to this embodiment, light is projected onto the surface of the object to be inspected, the diffused reflected light is received by the photocell through the lens system, the light quantity difference of the slit-shaped photocell is converted into an electric signal, and an electric signal representing the light quantity difference is generated. Stores positive and negative information without full-wave rectification, and for surface anomalies detected by comparing the signal magnitude with a threshold value, defects are determined by the waveform shape, so the concentration of the inspected object is used as a reference. Since it is possible to classify different surface anomalies with different concentrations and even subtle differences in surface anomalies that appear as differences in waveform, it is possible to quickly detect only carbides as defects without detecting other surface anomalies as defects. can do.

【0014】[0014]

【発明の効果】以上のように本発明によれば、被検査体
の炭化物のような表面異常と水滴等の表面異常の如くの
表面異常の差異を分類し、特定の表面異常のみを欠陥と
して検出可能とすることができる。
As described above, according to the present invention, the difference between the surface abnormality such as carbide of the object to be inspected and the surface abnormality such as water droplet is classified, and only the specific surface abnormality is regarded as a defect. It can be detectable.

【図面の簡単な説明】[Brief description of drawings]

【図1】図1は欠陥検出装置の一例を示すブロック図で
ある。
FIG. 1 is a block diagram showing an example of a defect detection apparatus.

【図2】図2は欠陥検出装置の概要を示す模式図であ
る。
FIG. 2 is a schematic diagram showing an outline of a defect detection device.

【図3】図3は欠陥検出装置の各部出力波形を示す模式
図である。
FIG. 3 is a schematic diagram showing an output waveform of each part of the defect detection apparatus.

【符号の説明】[Explanation of symbols]

10 欠陥検出装置 11 信号入力部 12 欠陥検出部 21 受光手段 22 信号変換手段 31 基準値設定手段 32 非定常性検出手段 33 信号格納手段 34 波形分類手段 DESCRIPTION OF SYMBOLS 10 Defect detection device 11 Signal input part 12 Defect detection part 21 Light receiving means 22 Signal conversion means 31 Reference value setting means 32 Unsteadiness detection means 33 Signal storage means 34 Waveform classification means

Claims (1)

【特許請求の範囲】[Claims] 【請求項1】 被検査体表面からの反射光を受光する手
段と受光量を電気信号に変換する手段を複数有する信号
入力部と、信号入力部からの信号により表面の非定常性
を検出し被検査体の欠陥を検出する欠陥検出部とを有し
てなる欠陥検出装置であって、 欠陥検出部は、信号の基準値設定手段、基準値からの変
位をもとに表面の非定常性を検出する非定常性検出手
段、信号を格納する信号格納手段、信号波形の形状に基
づいて表面異常を分類する波形分類手段からなることを
特徴とする欠陥検出装置。
1. A signal input section having a plurality of means for receiving the reflected light from the surface of the object to be inspected and a means for converting the amount of received light into an electric signal, and the non-stationarity of the surface is detected by the signal from the signal input section. A defect detection apparatus comprising a defect detection unit for detecting a defect of an object to be inspected, wherein the defect detection unit is a signal reference value setting means, and a surface non-stationary property based on a displacement from the reference value. A defect detecting apparatus comprising: a non-stationarity detecting unit for detecting a signal, a signal storing unit for storing a signal, and a waveform classifying unit for classifying a surface abnormality based on a shape of a signal waveform.
JP4265814A 1992-10-05 1992-10-05 Defect detector Pending JPH06118006A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP4265814A JPH06118006A (en) 1992-10-05 1992-10-05 Defect detector

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP4265814A JPH06118006A (en) 1992-10-05 1992-10-05 Defect detector

Publications (1)

Publication Number Publication Date
JPH06118006A true JPH06118006A (en) 1994-04-28

Family

ID=17422428

Family Applications (1)

Application Number Title Priority Date Filing Date
JP4265814A Pending JPH06118006A (en) 1992-10-05 1992-10-05 Defect detector

Country Status (1)

Country Link
JP (1) JPH06118006A (en)

Similar Documents

Publication Publication Date Title
JPS57198851A (en) Inspecting device for defect of pattern
JPH07333197A (en) Automatic surface flaw detector
JPH06118006A (en) Defect detector
JPH06118005A (en) Defect detector
JPH04169807A (en) Inspecting apparatus of surface flaw
JP2001092966A (en) Method and device for processing image
JP2827756B2 (en) Defect inspection equipment
JPH01253641A (en) Circuit for discriminating streak-like defect
JPH0569536A (en) Defect detecting method and defect detecting circuit in inspection device for printed matter
JPH02171640A (en) Inspection of container
JP2756738B2 (en) Apparatus for visual inspection of semiconductor devices
JPH04238207A (en) Defect inspecting device
JPH0447256A (en) Inspecting apparatus for surface defect of sheet
JPH06100551B2 (en) Defect detection method
JP2996345B2 (en) Surface inspection equipment
JPH04286944A (en) Flaw detector
JPH0961373A (en) Method for inspecting surface defect, and device therefor
JPS5918409A (en) Device for inspecting surface of red hot material
JPH0687046B2 (en) Steel plate surface flaw inspection method by neural network
JPS5920972B2 (en) Defect detection device
JPH0749314A (en) Surface defect inspection instrument
JPH04106462A (en) Defect inspector
JPH0531101B2 (en)
JPS63178373A (en) Method for inspecting cutting state of substrate
JPH0128539B2 (en)