CN106123789A - The identification device of a kind of wooden boards burr and recognition methods - Google Patents

The identification device of a kind of wooden boards burr and recognition methods Download PDF

Info

Publication number
CN106123789A
CN106123789A CN201610409946.2A CN201610409946A CN106123789A CN 106123789 A CN106123789 A CN 106123789A CN 201610409946 A CN201610409946 A CN 201610409946A CN 106123789 A CN106123789 A CN 106123789A
Authority
CN
China
Prior art keywords
wooden boards
battle array
tested
industrial camera
burr
Prior art date
Application number
CN201610409946.2A
Other languages
Chinese (zh)
Inventor
徐兆军
朱南峰
张未
陆冬梅
周捍东
马辉贤
丁涛
王宝金
Original Assignee
南京林业大学
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 南京林业大学 filed Critical 南京林业大学
Priority to CN201610409946.2A priority Critical patent/CN106123789A/en
Publication of CN106123789A publication Critical patent/CN106123789A/en

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical means
    • G01B11/02Measuring arrangements characterised by the use of optical means for measuring length, width or thickness
    • G01B11/04Measuring arrangements characterised by the use of optical means for measuring length, width or thickness specially adapted for measuring length or width of objects while moving
    • G01B11/046Measuring arrangements characterised by the use of optical means for measuring length, width or thickness specially adapted for measuring length or width of objects while moving for measuring width
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical means
    • G01B11/02Measuring arrangements characterised by the use of optical means for measuring length, width or thickness
    • G01B11/06Measuring arrangements characterised by the use of optical means for measuring length, width or thickness for measuring thickness, e.g. of sheet material
    • G01B11/0691Measuring arrangements characterised by the use of optical means for measuring length, width or thickness for measuring thickness, e.g. of sheet material of objects while moving

Abstract

The invention discloses the identification device of a kind of wooden boards burr, including transfer station, generating laser, support, face battle array industrial camera, support bridge-type is erected in transfer station, direction of transfer along transfer station, generating laser dough-making powder battle array industrial camera is set on the support above transfer station successively, and described laser transmitter projects is to light source quilt cover battle array industrial camera reception after tested wooden boards reflects on wooden boards surface tested in transfer station, and face battle array industrial camera connects with a computer simultaneously.The present invention discloses its recognition methods.The method of the invention is when detecting wooden boards burr, it is not necessary to manual operation, it is achieved that automatization, and tested wooden boards is in the process of conveying continuously when measuring, improve work efficiency, the identification apparatus structure simultaneously used is simple, easy for installation, low cost.

Description

The identification device of a kind of wooden boards burr and recognition methods

Technical field

The present invention relates to a kind of identification device and recognition methods, especially relate to the identification device of a kind of wooden boards burr And recognition methods, belong to timber processing and manufacturing field.

Background technology

In recent years, China's timber industry quickly grows, and forest reserves limit of mining is but gradually decreasing, and the forest reserves face Serious shortage problem, the imbalance between supply and demand of timber is becoming increasingly acute, and timber resources realized value is just maximized and proposes more by this Carry out the highest requirement.In the case of timber resources lacks, the utilization rate improving timber is in timber processing and automatic field One urgent problem.Log saw can be cut into the sheet material of certain thickness requirement when a lot of Wood products processing. The cross section of log can approximate to be seen circular, and log can be approximated to a cylinder, and general sawing process is then parallel to circle Mast axis.Long slab cross section after sawing is not the rectangle of rule, but two sides have irregular curl trapezoidal.Fig. 1 For the structural representation of burr sheet material, as shown in Figure 1: this sheet material is called burr plate, irregular trapezoidal side is referred to as burr, position In sheet material both sides.Fig. 2 is the structural representation of the burr sheet material of sawing state, as shown in Figure 2: the most past in follow-up workshop section The past burr wanting deburring plate, make the cross section of sheet material become the rectangle of rule, to facilitate follow-up processing and utilization.Due to timber originally The similar circle in body cross section, this burr plate can not completely remove, after also having wider sheet material can be determined by burr Continue to optimize and obtain maximum profit or conservation, and along with the wildwood being relatively large in diameter is forbidden felling, minor diameter artificial Woods is extensively applied, and this burr plate can be more, and the ratio that burr part accounts for sheet material area is bigger, rationally and quickly removes Burr removing can improve utilization rate and the production efficiency of timber.

Burr identification to the burr plate of log saw lumber at present mainly manually identifies, way is to be put by burr plate On the lathe conveyer belt treating sawing, having the transportable laser instrument of a few row above conveyer belt dead ahead, laser instrument is permissible Launching a laser, operator operates laser instrument with an action bars and moves, and selects suitable position, and laser instrument is the most permissible The burr material treat sawing is got a laser rays, if in operator thinks that laser rays just falls inside all burr, Now write down the position of present laser line.Saw sawing just can be entered by well rear for laser rays position all labellings of both sides.Typically When determining burr edge, burr plate is all in static state on a moving belt, confirms good rear sheet material setting in motion again, enters Saw sawing.One of this method shortcoming is to be that during work, workman works by force by human eye identification looking for burr inside edge Degree is big, easy visual fatigue;Secondly, when judging burr inside edge, burr plate is that requirement is static, reduces work efficiency; The method exclusive guideway to be had, servomotor dispatch control system again, cost is more high-leveled and difficult to promote.

Summary of the invention

In order to overcome prior art problem, it is an object of the invention to provide a kind of automaticity height, certainty of measurement height The identification device of wooden boards burr and recognition methods.

For solving above-mentioned technical problem, the technical solution used in the present invention is:

A kind of identification device of wooden boards burr, including transfer station, generating laser, support, face battle array industrial camera, Bridge type is erected in transfer station, along the direction of transfer of transfer station, arranges Laser emission successively on the support above transfer station Device dough-making powder battle array industrial camera, and described laser transmitter projects to the light source on wooden boards surface tested in transfer station through tested After wooden boards reflection, quilt cover battle array industrial camera receives, and face battle array industrial camera connects with a computer simultaneously.

The recognition methods of a kind of wooden boards burr, comprises the following steps:

The tested wooden boards of S1: generating laser process in transfer station launches LASER Light Source, tested wooden boards table The fan laser light source in face is received by face battle array industrial camera after reflection;

The LASER Light Source information that the tested wooden boards obtained reflects is converted to tested wood based panel by S2: face battle array industrial camera The thickness profile image information of material;

The thickness profile image letter of S3: the tested wooden boards of the data collecting card collection surface battle array industrial camera in computer Breath, and after the data processing software of computer calculates, obtain the thickness information of tested wooden boards;

S4: determine the normal panel face of wooden boards and the boundary point of burr according to the thickness information of tested wooden boards, often Detecting a boundary point every certain length, in the boundary point that the same side is measured, the boundary point of inner side is sawing point, along flat Row removes Burr removal in the swage set of normal panel face centrage.

Further, in S1 step, generating laser is fan laser light to the LASER Light Source that tested wood-based product launches Source, and the Rhizoma Dioscoreae (peeled) that tested wood-based product surface is formed is in-line Rhizoma Dioscoreae (peeled).

In S2 step, a LASER Light Source often launched by generating laser, the thickness wheel of the tested wooden boards after conversion Wide image information is one-tenth-value thickness 1/10 pixel and the width value pixel of wooden boards measured section.

And in S2 step, LASER Light Source information is converted to the method for the thickness profile image information of tested wooden boards For: optical signal quilt cover battle array industrial camera receives and changes into charge signal, then amplifies and analog-to-digital conversion circuit through external sampling Change into data image signal.

And in S3 step, the computing formula of the data processing software of described computer is: x=k y (I)

In public formula (I), x is the detection one-tenth-value thickness 1/10 of tested wooden boards;Y is tested wooden boards table in the battle array industrial camera of face Face and the skew of benchmark bottom surface, y shows as the thickness of wooden boards in thickness profile image;K is spatial resolution, and described K be the line that in the battle array industrial camera of face, the skew y of tested wooden boards surface and benchmark bottom surface and wooden boards detect one-tenth-value thickness 1/10 x Sexual relationship coefficient.

The numerical formula of described k is: k=1/ (β sin θ), and in the numerical formula of k, β is in the battle array industrial camera of face The optical element of object lens and the horizontal magnification multiplying power of imaging system, described horizontal magnification multiplying power is: laser transmitter projects light After source quilt cover battle array industrial camera receives, the thickness of tested wooden boards becomes with through face battle array industrial camera optical element and imaging system Image height ratio after Xiang;θ is axis and the angle of objective lens optical axis in the battle array industrial camera of face of generating laser, β and θ all can survey Amount, and when imaging system is fixed, and the lens location of face battle array industrial camera fixes and inclination angle determines, generating laser is high away from transfer station Degree determines, the axis of generating laser is fixing with the angle theta of objective lens optical axis in the battle array industrial camera of face, thing in the battle array industrial camera of face The optical element of mirror and horizontal magnification multiplying power β of imaging system are fixed, then k is also fixed value.

And in S3 step, also include utilizing standard gauge block to carry out the step demarcated, and described scaling method is: will not The standard gauge block of stack pile is placed under generating laser and demarcates, the gauge block of different-thickness, and thickness direction sampled pixel values is not With, respective pixel value carries out linear regression, obtains returning linear functionDescribedFor measuring pixel value,For reality Border one-tenth-value thickness 1/10, coefficient R=0.999, measure the one-tenth-value thickness 1/10 linear correlation of pixel value and standard gauge block.

The invention have the benefit that

1) the method for the invention is when detecting wooden boards burr, it is not necessary to manual operation, it is achieved that automatization;

2) present invention achieves serialization to measure, during measurement, tested wooden boards is in the process of conveying continuously, improves Work efficiency;

3) identification apparatus structure used in the present invention is simple, easy for installation, low cost.

Accompanying drawing explanation

Fig. 1 is the structural representation of burr sheet material;

Fig. 2 is the structural representation of the burr sheet material of sawing state;

Fig. 3 is the structural representation of identification device of the present invention;

Fig. 4 is that wooden boards burr detect basic principle schematic;

Fig. 5 is the staking-out work curve chart of wooden boards thickness detecting method;

Laser detection figure when Fig. 6 is not have sheet material;

Fig. 7 is that a slip gauge is then without the laser detection figure of burr sheet material;

Fig. 8 is the laser detection figure of burr sheet material.

In figure, Main Reference Numerals implication is:

1, transfer station 2, generating laser 3, support 4, tested wooden boards 5, face battle array industrial camera.

Detailed description of the invention

The present invention is described in detail below in conjunction with the accompanying drawings with specific embodiment.

Fig. 3 is the structural representation of identification device of the present invention.

As shown in Figure 3: the identification device of wooden boards burr, including transfer station 1, generating laser 2, support 3, face battle array work Industry camera 5, support 3 bridge-type is erected in transfer station 1, along the direction of transfer of transfer station 1, the support above transfer station 1 successively On generating laser 2 dough-making powder battle array industrial camera 5 is set, and generating laser 2 is transmitted into tested wooden boards 4 table in transfer station 1 The light source in face quilt cover battle array industrial camera 5 after tested wooden boards 4 reflects receives, and face battle array industrial camera 5 calculates with one simultaneously Machine connects.

Fig. 4 is that wooden boards burr detect basic principle schematic.

As shown in Figure 4: tested wooden boards 4 is sent to detect position, tested wooden boards by conveyer belt in transfer station 1 Generating laser 2 above in the of 4 is as the instruction light source of detection, and in transfer station 1, the tested wooden boards 4 of process launches laser light Source, described LASER Light Source is fan laser light source, and the Rhizoma Dioscoreae (peeled) that tested wooden boards 4 surface is formed is in-line Rhizoma Dioscoreae (peeled), can Measure the multiple points on 4 one cross sections of tested wooden boards simultaneously, the LASER Light Source on tested wooden boards 4 surface after reflection by Face battle array industrial camera 5 receives, face battle array industrial camera 5 light source information of the reflection of the tested wooden boards 4 obtained is converted to by Surveying the thickness profile image information of wooden boards 4, by measuring the function of multiple point simultaneously, every bit measures, and represents one Secondary measurement, measures each time and can form a pixel in the picture, measure each time and can obtain a pixel position One-tenth-value thickness 1/10, every bit measures and can form a pixel on width in the picture, and the width value in image is survey Amount number of times, one-tenth-value thickness 1/10 and width value unit are pixel, particularly as follows: optical signal quilt cover battle array industrial camera receives and change into electric charge letter Number, then change into data image signal through external sampling amplification and analog-to-digital conversion circuit, burr plate (tested wood based panel in image Material 4) one-tenth-value thickness 1/10 in a certain cross section and width value input computer by data collecting card, then utilized formula by data processing software (I) thickness and the width in a certain cross section of burr plate are calculated.

The computing formula of the data processing software of above-mentioned computer is: x=k y (I)

In public formula (I), x is the detection one-tenth-value thickness 1/10 of tested wooden boards;Y is tested wooden boards 4 in face battle array industrial camera 5 Surface and the skew of benchmark bottom surface, it is spatial resolution that y shows as the thickness k of tested wooden boards 4 in thickness profile image, And described k is that in face battle array industrial camera 5, tested wooden boards 4 surface is examined with tested wooden boards 4 with the skew y of benchmark bottom surface The linear relationship coefficient of thickness measuring angle value x.

The numerical formula of described k is: k=1/ (β sin θ), and in the numerical formula of k, β is in face battle array industrial camera 5 The optical element of object lens and the horizontal magnification multiplying power of imaging system, described horizontal magnification multiplying power is: light launched by generating laser 2 After source quilt cover battle array industrial camera 5 receives, the thickness of tested wooden boards 4 with through face battle array industrial camera 5 optical element and imaging system Image height ratio after system imaging;θ is axis and the angle of objective lens optical axis in face battle array industrial camera 5 of generating laser 2, β and θ is equal Can measure, and when imaging system is fixed, and the lens location of face battle array industrial camera 5 fixes and inclination angle determines, generating laser 2 is away from biography Sending platform 1 highly to determine, the axis of generating laser 2 is fixing with the angle theta of objective lens optical axis in face battle array industrial camera 5, face battle array work In industry camera 5, the optical element of object lens and horizontal magnification multiplying power β of imaging system are fixed, then k is also fixed value, and k is calibrated.Right Calculating the wood-based product's one-tenth-value thickness 1/10 obtained and width value shows in real time, the thickness information according to tested wooden boards 4 is true The normal panel face of fixed tested wooden boards 4 and the boundary point of burr, detect a boundary point, burr plate warp every certain length Conveyer belt drives uniform motion, carries out continuous detecting, draws the integral thickness of burr plate and the dimension information of width, with the same side In the boundary point measured, the boundary point of inner side is sawing point, removes Burr removal along the swage set being parallel to normal panel face centrage, and Being input on production line in processing unit (plant) by above-mentioned information, the automatization that just can realize burr plate burr removes.

Fig. 5 is the staking-out work curve chart of wooden boards thickness detecting method.

As shown in Figure 5: before using identification device of the present invention, need to utilize standard gauge block to demarcate, specifically Step is: by thickness every 0.5mm, is placed on generating laser from 2mm to 25mm standard gauge block and demarcates, differing heights Gauge block, short transverse sampled pixel values is different, and standard gauge block one-tenth-value thickness 1/10 is as shown in table 1 with the height corresponding relation in image:

Table 1: standard gauge block one-tenth-value thickness 1/10 and the height mapping table in image

As shown in Table 1: standard gauge block one-tenth-value thickness 1/10 is carried out linear regression with the height respective pixel value in image, is returned Return linear functionDescribedFor measuring pixel value,For actual height value, coefficient R= 0.999, standard gauge block show that thickness direction spatial resolution is 0.24mm/ pixel after demarcating, width ratio 0.12mm/ picture Element.

In use, being no need for again demarcating if not changing device parameter, can detect after having demarcated.

Concrete detection method is

Embodiment 1:

The horizontal movement velocity of transfer station 1 is 500mm/s, and tested to transfer station 1 of fan-shaped light source launched by generating laser 2 Wooden boards is scanned, Laser emission optical wavelength 660nm, and going out light fan angle is 90 °;The reflection light on tested wooden boards 4 surface Being received by face battle array industrial camera 5, the pixel dimension 1920 × 1200 of image, face battle array industrial camera 5 shoots 100 figures each second Picture, lens focus 50mm.

Laser detection figure when Fig. 6 is not have sheet material.

As shown in Figure 6: an only benchmark bottom surface line in laser detection figure.

Fig. 7 is that a slip gauge is then without the laser detection figure of burr sheet material.

As shown in Figure 7: the surface imaging without burr sheet material is straight line.

Taking one block of burr sheet material, thickness 30mm, place it in transfer station 1 top, tested burr sheet material is uploaded by transfer station 1 Sending band at the uniform velocity forwards transportation, when arriving detection position, the generating laser 2 above detection position is launched fan laser light source and is irradiated To being formed a yi word pattern Rhizoma Dioscoreae (peeled) by the surface of burr sheet material and reflecting, reflection light is received by face battle array industrial camera 5;Face battle array industry The LASER Light Source information that the tested burr sheet material obtained reflects is converted to the thickness profile image letter of tested burr sheet material by camera 5 Breath, the thickness profile image information of the tested burr sheet material of the data collecting card collection surface battle array industrial camera 5 in computer, and warp Cross the data processing software of computer according to face battle array industrial camera camber director space resolution and width spatial discrimination Rate obtains thickness information and the width information of tested burr sheet material after calculating, finally according to tested burr sheet material thickness information and Width information distribution determines the normal panel face of burr sheet material and the boundary point of burr, detects a border every certain length Point, in the boundary point that the same side is measured, the boundary point of inner side is sawing point, along the swage set being parallel to normal panel face centrage Remove Burr removal.

The measurement data statistical table that table 2 is burr sheet material that thickness is 30mm

Fig. 8 is the laser detection figure of burr sheet material.

As shown in Figure 8: owing to the thickness of burr plate both sides of the edge changes, similar ladder occurs at image both sides of the edge The hypotenuse change of shape, is burr and the boundary point of normal sheet material at both sides broken line point.

From table 2 and Fig. 8: during sawing, the left side should go out sawing from 21.24mm, the right should sawing at 219.96, Burr removal can be removed, it is ensured that maximum specification material.

Compared with traditional manual detection method, the laser detection that the present invention utilizes has high efficiency, pinpoint accuracy, and height is certainly The advantage of dynamicization level, compared with machine vision technique, laser detection utilizes after sheet material cracking physical dimension on thickness and width The information of change, reduces calculating data volume, it is achieved that on-line checking;Compared with existing laser measuring technology, by spot measurement Being improved to multimetering, improve detection speed, use range of triangle method to measure simultaneously, certainty of measurement improves, it is achieved that Industry on-line checking, improves work efficiency.

The present invention is illustrated according to above-described embodiment and should be appreciated that above-described embodiment limits this most in any form Bright, that all employing equivalents or equivalent transformation mode are obtained technical scheme, within all falling within protection scope of the present invention.

Claims (8)

1. the identification device of wooden boards burr, it is characterised in that include transfer station, generating laser, support, face battle array work Industry camera, support bridge-type is erected in transfer station, along the direction of transfer of transfer station, arranges successively on the support above transfer station Generating laser dough-making powder battle array industrial camera, and described laser transmitter projects is to the light on wooden boards surface tested in transfer station Source quilt cover battle array industrial camera after tested wooden boards reflects receives, and face battle array industrial camera connects with a computer simultaneously.
2. the recognition methods of wooden boards burr, it is characterised in that comprise the following steps:
The tested wooden boards of S1: generating laser process in transfer station launches LASER Light Source, tested wooden boards surface Fan laser light source is received by face battle array industrial camera after reflection;
The LASER Light Source information that the tested wooden boards obtained reflects is converted to tested wooden boards by S2: face battle array industrial camera Thickness profile image information;
S3: the thickness profile image information of the tested wooden boards of the data collecting card collection surface battle array industrial camera in computer, And after the data processing software of computer calculates, obtain the thickness information of tested wooden boards;
S4: determine the normal panel face of wooden boards and the boundary point of burr, Mei Geyi according to the thickness information of tested wooden boards Measured length detects a boundary point, and in the boundary point that the same side is measured, the boundary point of inner side is sawing point, along being parallel to The swage set of normal panel face centrage removes Burr removal.
The recognition methods of a kind of wooden boards burr the most according to claim 2, it is characterised in that in S1 step, swashs Optical transmitting set is fan laser light source to the LASER Light Source that tested wood-based product launches, and the light that tested wood-based product surface is formed Bar is in-line Rhizoma Dioscoreae (peeled).
The recognition methods of a kind of wooden boards burr the most according to claim 2, it is characterised in that in S2 step, swashs A LASER Light Source often launched by optical transmitting set, and the thickness profile image information of the tested wooden boards after changing is wooden boards quilt Survey one-tenth-value thickness 1/10 pixel and the width value pixel in cross section.
The recognition methods of a kind of wooden boards burr the most according to claim 2, it is characterised in that in S2 step, swashs The method of the thickness profile image information that radiant information is converted to tested wooden boards is: optical signal quilt cover battle array industrial camera connects Receive and change into charge signal, then change into data image signal through external sampling amplification and analog-to-digital conversion circuit.
The recognition methods of a kind of wooden boards burr the most according to claim 2, it is characterised in that in S3 step, institute The computing formula of the data processing software of the computer stated is: x=k y (I)
In public formula (I), x is the detection one-tenth-value thickness 1/10 of tested wooden boards;Y be in the battle array industrial camera of face tested wooden boards surface with The skew of benchmark bottom surface, y shows as the thickness of wooden boards in thickness profile image, and k is spatial resolution, and described k The linear of one-tenth-value thickness 1/10 x is detected with the skew y of benchmark bottom surface and wooden boards for wooden boards surface tested in the battle array industrial camera of face Coefficient of relationship.
The recognition methods of a kind of wooden boards burr the most according to claim 6, it is characterised in that the numerical value of described k Formula is: k=1/ (β sin θ), and in the numerical formula of k, β is optical element and the imaging system of object lens in the battle array industrial camera of face The horizontal magnification multiplying power of system, described horizontal magnification multiplying power is: after laser transmitter projects light source quilt cover battle array industrial camera receives, The thickness of tested wooden boards image height ratio after face battle array industrial camera optical element and imaging system images;θ is that laser is sent out The axis of emitter and the angle of objective lens optical axis in the battle array industrial camera of face, β and θ all can measure, and when imaging system is fixed, face battle array work The lens location of industry camera is fixed and inclination angle determines, generating laser determines away from transfer station height, the axis of generating laser with In the battle array industrial camera of face, the angle theta of objective lens optical axis is fixing, the optical element of object lens and imaging system in the battle array industrial camera of face Horizontal magnification multiplying power β is fixed, then k is also fixed value.
The recognition methods of a kind of wooden boards burr the most according to claim 2, it is characterised in that in S3 step, also The step demarcated including utilizing standard gauge block to carry out, and described scaling method is: the standard gauge block of different-thickness is placed on sharp Demarcating under optical transmitting set, the gauge block of different-thickness, thickness direction sampled pixel values is different, and respective pixel value is linearly returned Return, obtain returning linear functionDescribedFor measuring pixel value,For actual (real) thickness value, coefficient R= 0.999, measure the one-tenth-value thickness 1/10 linear correlation of pixel value and standard gauge block.
CN201610409946.2A 2016-06-12 2016-06-12 The identification device of a kind of wooden boards burr and recognition methods CN106123789A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610409946.2A CN106123789A (en) 2016-06-12 2016-06-12 The identification device of a kind of wooden boards burr and recognition methods

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610409946.2A CN106123789A (en) 2016-06-12 2016-06-12 The identification device of a kind of wooden boards burr and recognition methods

Publications (1)

Publication Number Publication Date
CN106123789A true CN106123789A (en) 2016-11-16

Family

ID=57270569

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610409946.2A CN106123789A (en) 2016-06-12 2016-06-12 The identification device of a kind of wooden boards burr and recognition methods

Country Status (1)

Country Link
CN (1) CN106123789A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107063057A (en) * 2017-03-24 2017-08-18 苏州光图智能科技有限公司 A kind of tyre detection device with calibrating block
CN107388973A (en) * 2017-07-06 2017-11-24 南京林业大学 A kind of identification device of oblique fire formula wooden boards flash and recognition methods

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1463809A (en) * 2002-06-28 2003-12-31 宝山钢铁股份有限公司 Process for detecting sheet steel product cross-sectional outline and shape
CN101004389A (en) * 2006-01-18 2007-07-25 宝山钢铁股份有限公司 Method for detecting 3D defects on surface of belt material
CN101576376A (en) * 2008-12-24 2009-11-11 北京神网创新科技有限公司 Method and system for laser detection of shape of charge level
CN102500627A (en) * 2011-10-19 2012-06-20 北京金自天正智能控制股份有限公司 Plate width, side shape and side defect measuring instrument and measuring method thereof
CN102553985A (en) * 2012-01-10 2012-07-11 北方工业大学 Variable-section cold-roll-formed contour detection and control device and method

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1463809A (en) * 2002-06-28 2003-12-31 宝山钢铁股份有限公司 Process for detecting sheet steel product cross-sectional outline and shape
CN101004389A (en) * 2006-01-18 2007-07-25 宝山钢铁股份有限公司 Method for detecting 3D defects on surface of belt material
CN101576376A (en) * 2008-12-24 2009-11-11 北京神网创新科技有限公司 Method and system for laser detection of shape of charge level
CN102500627A (en) * 2011-10-19 2012-06-20 北京金自天正智能控制股份有限公司 Plate width, side shape and side defect measuring instrument and measuring method thereof
CN102553985A (en) * 2012-01-10 2012-07-11 北方工业大学 Variable-section cold-roll-formed contour detection and control device and method

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107063057A (en) * 2017-03-24 2017-08-18 苏州光图智能科技有限公司 A kind of tyre detection device with calibrating block
CN107388973A (en) * 2017-07-06 2017-11-24 南京林业大学 A kind of identification device of oblique fire formula wooden boards flash and recognition methods

Similar Documents

Publication Publication Date Title
US20190011375A1 (en) Surface defect detecting method and surface defect detecting apparatus
US6122065A (en) Apparatus and method for detecting surface defects
US4541722A (en) Contour line scanner
CN102699763B (en) Measuring method using cutter wear intelligent-measurement instrument
CA1271051A (en) Method and system for optically testing sawn timber
US6382028B1 (en) Ultrasonic defect detection system
US7024780B2 (en) Method and device for determining the rectilinearity of guide rails
US4984172A (en) System for detecting and correcting defects in articles being processed, in particular wood panels with splits, knot-holes, etc.
US7426422B2 (en) Wood tracking by identification of surface characteristics
US5986745A (en) Co-planar electromagnetic profile scanner
EP0330429B1 (en) Method and apparatus for monitoring the surface profile of a workpiece
CA1043463A (en) Lumber inspection and optimization system
US4086496A (en) Method for optically measuring a cant to locate the narrowest flat side and its boundaries and manufacturing lumber therefrom
US4879752A (en) Lumber optimizer
US5644392A (en) Scanning system for lumber
US7210321B2 (en) Method and apparatus for measuring centerline runout and out of roundness of a shaft
US6708122B2 (en) Apparatus and method for detecting twist in articles
US3806253A (en) Sweep measuring scheme
US8243284B2 (en) Method for measuring the roundness of round profiles
CN100397036C (en) Method and arrangement in a measuring system
CN102077052B (en) Vision system for scan planning of ultrasonic inspection
CN201653373U (en) Triaxial non-contact image measuring system
CN102721746A (en) Double-manipulator ultrasonic transmission detection device
CA2641094C (en) Systems and methods for monitoring a saw blade during sawing
CN101995225B (en) Film thickness measurement apparatus

Legal Events

Date Code Title Description
PB01 Publication
C06 Publication
SE01 Entry into force of request for substantive examination
C10 Entry into substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20161116

RJ01 Rejection of invention patent application after publication