CN105783746A - Wooden product thickness detection system and detection method thereof - Google Patents
Wooden product thickness detection system and detection method thereof Download PDFInfo
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- CN105783746A CN105783746A CN201610344171.5A CN201610344171A CN105783746A CN 105783746 A CN105783746 A CN 105783746A CN 201610344171 A CN201610344171 A CN 201610344171A CN 105783746 A CN105783746 A CN 105783746A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
- G01B11/06—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness for measuring thickness ; e.g. of sheet material
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Abstract
The invention discloses a wooden product thickness detection device which comprises a conveying platform, a laser emitter, a bracket and an area array industrial camera, wherein the bracket is arranged on the conveying platform in a bridge manner; the laser emitter and the area array industrial camera are sequentially arranged on the bracket in the conveying direction of the conveying platform; a light source which is emitted from the laser emitter to the surface of a tested wooden product on the conveying platform is reflected by the tested wooden product and is received by the area array industrial camera; the area array industrial camera is also communicated with a computer. The invention further discloses a detection method of the wooden product thickness detection device. The device and the method disclosed by the invention are safe and reliable, are high in measurement precision and convenient to use, are capable of overcoming defects of a conventional detection technique, and have the advantages that multiple points on one cross section can be simultaneously detected and automatic and continuous detection can be performed.
Description
Technical field
The present invention relates to a kind of detection system and detection method thereof, especially relate to detection system and the detection method thereof of a kind of wood-based product thickness, belong to timber processing and manufacturing field.
Background technology
Wood-based product's thickness is important parameter in wood-based product's processing and manufacturing process, and the premise that wood-based product's thickness carry out strict control must detect wood-based product's thickness exactly accurately and fast.For protecting forest resources; improve timber utilization rate; improve timber atomization degree; reduce the working strength of labourer; ensure that wood-based product reaches prescription; wood-based product's thickness is carried out on-line measurement to prevent underproof wood-based product from entering production and processing, wood-based product's follow-up assembling processing is particularly important；Additionally, by wood-based product's thickness is carried out real-time online detection, it is possible to by wood-based product's thickness information Real-time Feedback to wood-based product's producing unit, machined parameters is adjusted in real time.
Producing and in experimental study in experiment at present, the method that wood-based product's thickness carries out on-line checking mainly has the non-contact detection methods such as the contact measurement method adopting Linear displacement transducer and laser, ultrasound wave, X ray.
In the contact measurement method adopting Linear displacement transducer, Linear displacement transducer is perpendicular to tested wood-based product, and the displacement of measuring staff is equal to wood-based product's thickness, it is possible to directly detect wood-based product's thickness.But to manually adjust efficiency low deviation big for work under bad environment in contact measurement technology, and wood-based product is had higher requirement ratio if any higher hardness and more smooth surface, and owing to measuring staff directly contacts thus the damage on wood-based product surface and mechanical abrasion can be caused with tested wood-based product surface, therefore contact type measurement technology is difficult to wood-based product's on-line checking.
The laser detection method that application is maximum at present is mainly first irradiated to tested wood-based product surface by laser transmitter projects laser, some scattered light is received by transducer receivers after reflection, optical pickocff detects optical signal and optical signal is processed, and is received the time experienced detect wood-based product's thickness by being issued to return from light pulse.Laser detection method has brightness height, good directionality, is susceptible to operating ambient temperature impact and accuracy of detection advantages of higher, but laser detection method can only realize single point laser scanning, owing to natural timber rough surface not gentle wood-based product surface is subject to Climatic Effects thus cross section is uneven, need a cross section is taken multiple measurements when actually detected and obtain substantial amounts of mapped point and just can obtain the average thickness information on one cross section of wood-based product, therefore this method accuracy of detection is low, detection speed is slow, it is impossible to realize automatization；This laser scanning method is a kind of Laser Time differential simultaneously, send laser pulse, measure pulse from the time difference being issued to return, it is converted into the probe distance to testee, due to light spread speed quickly, accurately measure during thin tail sheep amount the required precision of measure of time is very high, the precision otherwise measured is difficult to ensure that, and sensor price is also significantly high, therefore laser detection method is difficult to wood-based product's on-line checking.
Ultrasonic Detection Method makes it run into barrier to reflect by launching ultrasound wave, calculates launch point according to the time difference launched and receive and detects wood-based product's thickness to the actual range of tested surface.But owing to wood-based product is porous material, cause hyperacoustic a large amount of scattering and energy attenuation so that wood-based product's detection thickness to be significantly less than wood-based product's actual (real) thickness value degree of accuracy not high, therefore ultrasonic Detection Method is difficult to wood-based product's on-line checking.
When X ray detection method is to penetrate wood-based product by X ray, the attenuation of intensity detects wood-based product's thickness, but its attenuation degree also can be different during the media such as X ray fiber in penetrating different materials, air and dust, cause the easy less stable affected by environment of X ray detection method thus causing that certainty of measurement value declines, and maintenance cost is expensive, and therefore X ray detection method is difficult to wood-based product's on-line checking.
Current wood-based product's thickness contact measurement technology and laser, ultrasound wave, the contactless online measuring techniques of wood-based product's thickness such as X ray have different advantages and deficiency, but they have a common shortcoming, namely these thickness detecting method one-time detection are only capable of measuring a point, owing to natural timber rough surface not gentle wood-based product surface is subject to Climatic Effects thus cross section is uneven, need a cross section is taken multiple measurements when actually detected and obtain substantial amounts of mapped point and just can obtain the average thickness information on one cross section of wood-based product, accuracy of detection is low, the detection time is long, automatization cannot be realized.
Summary of the invention
In order to overcome prior art problem, it is an object of the invention to provide a kind of safe and reliable, wood-based product's thickness detecting method that certainty of measurement is high, easy to use.
For solving above-mentioned technical problem, the technical solution used in the present invention is:
A kind of detecting device of wood-based product thickness, it is characterized in that, including transmitting platform, generating laser, support, face battle array industrial camera, support bridge-type is erected on transmission platform, along the direction of transfer transmitting platform, generating laser dough-making powder battle array industrial camera is set successively on support, and described laser transmitter projects receives to transmitting the light source on tested wood-based product surface quilt cover battle array industrial camera after tested wood-based product reflects on platform, and face battle array industrial camera connects with a computer simultaneously.
The detection method of a kind of wood-based product thickness, it is characterised in that comprise the following steps:
S1: generating laser launches LASER Light Source to transmitting the tested wood-based product of process on platform, and the LASER Light Source on tested wood-based product surface is received by face battle array industrial camera after reflection；
S2: the thickness profile information of the tested wood-based product obtained is converted to the thickness profile image information of tested wood-based product by face battle array industrial camera；
S3: the thickness profile image information of the tested wood-based product 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 wood-based product.
Further, in S1 step, generating laser is fan laser light source to the LASER Light Source that tested wood-based product launches, and the Rhizoma Dioscoreae (peeled) that tested wood-based product surface is formed is in-line Rhizoma Dioscoreae (peeled).
And in S3 step, the computing formula of the data processing software of described computer is: x=k y (I)
In formula (I), x is the detection one-tenth-value thickness 1/10 of tested wood-based product；Y is the skew of tested wood-based product surface and benchmark bottom surface in the battle array industrial camera of face, and y shows as the thickness of wood-based product in thickness profile image；K is spatial resolution, and the linear relationship coefficient of the thickness y that described k is wood-based product in thickness profile image and wood-based product detection one-tenth-value thickness 1/10 x.
Further, the numerical formula of described k is: k=1/ (β sin θ), in the numerical formula of k, β is the horizontal magnification multiplying power of the optical element of object lens in the battle array industrial camera of face and imaging system, and β illustrates objective lens optical system imaging in vertical axial magnification level and orientation；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 measure, and when imaging system is fixed, the lens location of face battle array industrial camera fixes and inclination angle is determined, generating laser is determined from transmitting platform height, the axis of generating laser is fixing with the angle theta of objective lens optical axis in the battle array industrial camera of face, in the battle array industrial camera of face, the optical element of object lens and the horizontal magnification multiplying power β of imaging system fix, then k is also fixed value.
In addition, in S2 step, the thickness profile information of tested wood-based product is converted to the method for the thickness profile image information of tested wood-based product and to tested wood-based product surface and is reflected by laser transmitter projects for fan-shaped light source, optical signal quilt cover battle array industrial camera receives and changes into charge signal, amplifies then through external sampling and analog-to-digital conversion circuit changes into data image signal.
nullThe invention have the benefit that apparatus and method of the present invention are compared with existing laser detecting method，Owing to natural timber rough surface not gentle wood-based product surface is subject to Climatic Effects thus cross section is uneven，Instant invention overcomes existing laser optical method be only capable of realizing simple scan but can not simultaneously on a cross section on wood-based product surface all measurement thus causing the shortcoming that certainty of measurement is not high，A yi word pattern Rhizoma Dioscoreae (peeled) is formed to wood-based product surface by laser transmitter projects fan laser light source irradiation，The multiple points on a cross section can be detected simultaneously，Every bit measurement then represents one-shot measurement，By while repetitive measurement thickness function thus drawing the average thickness in this cross section，It is quick on the draw，The detection time is short，Detection speed is fast，Accuracy of detection is high，Aulomatizeted Detect can be realized，Easily realize mass Detection & Controling.And wood-based product's thickness is carried out on-line checking by the present invention, ensemble average thickness and the integral thickness variance of wood-based product the thickness in arbitrary cross section of wood-based product can be detected continuously thus can also be quickly detected from, the information that wood-based product's global sections is uneven can be obtained, achieve automatically detection and continuous detecting, Thickness sensitivity under wood-based product's resting state and the dynamic detection of thickness in moving process.
Accompanying drawing explanation
Fig. 1 is the structural representation of wood-based product of the present invention thickness detection apparatus；
Fig. 2 is wood-based product's Thickness sensitivity basic principle schematic；
Fig. 3 is the staking-out work curve chart of wood-based product's thickness detecting method；
Fig. 4-Fig. 5 is the laser detection figure of wood-based product's thickness detecting method.
In figure, Main Reference Numerals implication is:
1, platform 2, generating laser 3, support 4, tested wood-based product 5, face battle array industrial camera are transmitted.
Detailed description of the invention
The present invention is described in detail below in conjunction with the drawings and specific embodiments.
Embodiment 1:
Fig. 1 is the structural representation of wood-based product of the present invention thickness detection apparatus.
As shown in Figure 1: the detecting device of wood-based product's thickness, including transmitting platform 1, generating laser 2, support 3, face battle array industrial camera 5, support 3 bridge-type is erected on transmission platform 1, along the direction of transfer transmitting platform 1, generating laser 2 dough-making powder battle array industrial camera 5 is set successively on support 3, and described generating laser 2 is transmitted into and transmits the light source on tested wood-based product 4 surface quilt cover battle array industrial camera 5 after tested wood-based product 4 reflects on platform 1 and receive, and face battle array industrial camera 5 connects with a computer simultaneously.
Fig. 2 is wood-based product's Thickness sensitivity basic principle schematic.
nullAs shown in Figure 2: tested wood-based product 4 is sent to detection position by conveyer belt on transmission platform 1，Generating laser 2 above tested wood-based product 4 is as the instruction light source of detection，LASER Light Source is launched to transmitting the tested wood-based product 4 of process on platform 1，Described LASER Light Source is fan laser light source，And the Rhizoma Dioscoreae (peeled) that tested wood-based product 4 surface is formed is in-line Rhizoma Dioscoreae (peeled)，The multiple points on 4 one cross sections of tested wood-based product can be measured simultaneously，The LASER Light Source on tested wood-based product 4 surface is received by face battle array industrial camera 5 after reflection，Face battle array industry phase,The thickness profile information of the tested wood-based product 4 obtained is converted to the thickness profile image information of tested wood-based product 4 by 5，By measuring the function of multiple point simultaneously，Every bit measurement then represents one-shot measurement，Measure each time and can form a pixel in the picture，Measure the one-tenth-value thickness 1/10 that can obtain a pixel position each time，The pixel sum and the wood-based product's thickness measure number of times that constitute wood-based product's measured section contour line in image represent the width value of wood-based product in image.The thickness profile image information of the tested wood-based product 4 of the data collecting card collection surface battle array industrial camera 5 in computer, and after the data processing software of computer calculates, obtain the thickness information of tested wood-based product 4.
The computing formula of the data processing software of above-mentioned computer is: x=k y (I)
In formula (I), x is the detection one-tenth-value thickness 1/10 of tested wood-based product 4；Y is the skew of tested wood-based product 4 surface and benchmark bottom surface in face battle array industrial camera 5, and y shows as the thickness of wood-based product in thickness profile image；K is spatial resolution, and the linear relationship coefficient of the thickness y that described k is wood-based product in thickness profile image and wood-based product detection one-tenth-value thickness 1/10 x.
Fig. 3 is the staking-out work curve chart of wood-based product's thickness detecting method.
As shown in Figure 3: the numerical formula of described k is: k=1/ (β sin θ), in the numerical formula of k, β is the horizontal magnification multiplying power of the optical element of object lens in the battle array industrial camera of face and imaging system, and β illustrates objective lens optical system imaging in vertical axial magnification level and orientation；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 all can measure, and when imaging system is fixed, the lens location of face battle array industrial camera 5 fixes and inclination angle is determined, generating laser 2 is determined from transmitting platform height, the axis of generating laser 2 is fixing with the angle theta of objective lens optical axis in face battle array industrial camera 5, in the battle array industrial camera of face, the optical element of object lens and the horizontal magnification multiplying power β of imaging system fix, then k is also fixed value, k is calibrated, show in real time calculating the wood-based product's one-tenth-value thickness 1/10 obtained, and it is input on production line by thickness signal value in processing unit (plant) just can to realize Aulomatizeted Detect and the control of wood-based product's thickness.
In the present embodiment, the thickness profile information of tested wood-based product 4 is converted to the method for the thickness profile image information of tested wood-based product 4 and to tested wood-based product surface and is reflected by laser transmitter projects for fan-shaped light source, optical signal quilt cover battle array industrial camera receives and changes into charge signal, amplifies then through external sampling and analog-to-digital conversion circuit changes into data image signal.
Fig. 4-Fig. 5 is the laser detection figure of wood-based product's thickness detecting method.
As shown in Figure 4 and Figure 5: wood-based product of the present invention thickness detection apparatus needs to utilize 0 grade standard gauge block to demarcate when first time uses, and the error of 0 grade standard gauge block is within 1 μm.Series of standards gauge block is sequentially placed be transported on conveyer belt detection station detect, show that the height in a series of images is as shown in table 1, height in image and standard gauge block known thickness value are carried out statistical regression analysis and draws linear fit curve, as shown in Figure 3, in staking-out work curve, the correlation coefficient of linear matched curve is 0.99, staking-out work height of curve linear correlation, linear fit slope of a curve is the spatial resolution of short transverse.After the spatial resolution in standard gauge block calibrated altitude direction, show that short transverse spatial resolution is 0.2366mm/ pixel, after the spatial resolution in standard gauge block nominal width direction, show that width spatial resolution is 0.1174mm/ pixel, so far the link that wood-based product's Thickness sensitivity is demarcated is completed, if in use not changing device parameter to be no need for again demarcating, can detect after having demarcated.
Table 1
It is that 500mm/s transmits on platform that seven different wood-based products are successively placed on horizontal movement velocity, and with the laser of fan-shaped light source to its scanning, wavelength of transmitted light is 660nm, and going out light fan angle is 90 °；The reflection light of tested plate surface is received by face battle array industrial camera, and the pixel dimension of face battle array industrial camera is 1920 × 1200, and face battle array industrial camera shoots 100 images each second, and lens focus is 50mm.
As shown in Figure 4, laser detection figure, Fig. 5 when Fig. 4 is do not place wood-based product is tested wood-based product laser detection figure after image acquisition.By the thickness y of wood-based product in image, in conjunction with short transverse spatial resolution thus drawing wood-based product detection one-tenth-value thickness 1/10 x.The detection thickness of seven wood-based products and width information are as shown in table 2.
Table 2
In table 2, thickness difference is the difference of detection one-tenth-value thickness 1/10 and kind of calliper one-tenth-value thickness 1/10.nullBy the contrast of detection one-tenth-value thickness 1/10 and the kind of calliper one-tenth-value thickness 1/10 of seven wood-based products it appeared that，Difference is there is in detection one-tenth-value thickness 1/10 with kind of calliper one-tenth-value thickness 1/10，But difference is only small，Illustrate that the result error measured by wood-based product's thickness detecting method proposed by the invention and artificial kind of calliper thickness approach is little，But several points that wood-based product's thickness detecting method proposed by the invention is possible not only to detect on one cross section of wood-based product are thus quickly drawing the average thickness in this cross section simultaneously，Wood-based product's thickness variation can also be detected，Wood-based product's thickness variation can reflect the variation of the thickness of multiple points on one cross section of wood-based product，Therefore wood-based product's thickness detecting method proposed by the invention more can reflect the truth that wood-based product's rough surface is uneven，And this to be the slide calliper rule that once can only measure a point cannot realize；Wood-based product's thickness detecting method proposed by the invention can measure several points on one cross section of wood-based product simultaneously, by while repetitive measurement thickness function, measure each time and can obtain the thickness measuring some position, every bit measurement can form a pixel on width in the picture, and the width value in image represents pendulous frequency.
Compared with existing laser detecting method, owing to natural timber rough surface not gentle wood-based product surface is subject to Climatic Effects thus cross section is uneven, instant invention overcomes existing laser optical method be only capable of realizing simple scan but can not simultaneously on a cross section on wood-based product surface all measurement thus causing the shortcoming that certainty of measurement is not high, a yi word pattern Rhizoma Dioscoreae (peeled) is formed to wood-based product surface by laser transmitter projects fan laser light source irradiation, the multiple points on a cross section can be detected simultaneously, every bit measurement then represents one-shot measurement, by while repetitive measurement thickness function thus drawing the average thickness in this cross section, it is quick on the draw, the detection time is short, detection speed is fast, accuracy of detection is high, Aulomatizeted Detect can be realized, easily realize mass Detection & Controling.Wood-based product's thickness is carried out on-line checking by the present invention, ensemble average thickness and the integral thickness variance of wood-based product the thickness in arbitrary cross section of wood-based product can be detected continuously thus can also be quickly detected from, the information that wood-based product's global sections is uneven can be obtained, achieve automatically detection and continuous detecting, Thickness sensitivity under wood-based product's resting state and the dynamic detection of thickness in moving process.
Present invention above-described embodiment is illustrated and should be appreciated that above-described embodiment does not limit the present invention in any form, and all employings are equal to replacement or the technical scheme that obtains of equivalent transformation mode, all fall within protection scope of the present invention.
Claims (6)
1. the detecting device of wood-based product's thickness, it is characterized in that, including transmitting platform, generating laser, support, face battle array industrial camera, support bridge-type is erected on transmission platform, along the direction of transfer transmitting platform, generating laser dough-making powder battle array industrial camera is set successively on support, and described laser transmitter projects receives to transmitting the light source on tested wood-based product surface quilt cover battle array industrial camera after tested wood-based product reflects on platform, and face battle array industrial camera connects with a computer simultaneously.
2. the detection method of wood-based product's thickness, it is characterised in that comprise the following steps:
S1: generating laser launches LASER Light Source to transmitting the tested wood-based product of process on platform, and the LASER Light Source on tested wood-based product surface is received by face battle array industrial camera after reflection；
S2: the thickness profile information of the tested wood-based product obtained is converted to the thickness profile image information of tested wood-based product by face battle array industrial camera；
S3: the thickness profile image information of the tested wood-based product 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 wood-based product.
3. the detection method of a kind of wood-based product according to claim 2 thickness, it is characterized in that, in S1 step, generating laser is fan laser light source to the LASER Light Source that tested wood-based product launches, and the Rhizoma Dioscoreae (peeled) that tested wood-based product surface is formed is in-line Rhizoma Dioscoreae (peeled).
4. the detection method of a kind of wood-based product according to claim 2 thickness, it is characterised in that in S3 step, the computing formula of the data processing software of described computer is: x=k y (I)
In formula (I), x is the detection one-tenth-value thickness 1/10 of tested wood-based product；Y is the skew of tested wood-based product surface and benchmark bottom surface in the battle array industrial camera of face, and y shows as the thickness of wood-based product in thickness profile image；K is spatial resolution, and the linear relationship coefficient of the thickness y that described k is wood-based product in thickness profile image and wood-based product detection one-tenth-value thickness 1/10 x.
5. the detection method of a kind of wood-based product according to claim 4 thickness, it is characterized in that, the numerical formula of described k is: k=1/ (β sin θ), in the numerical formula of k, β is the horizontal magnification multiplying power of the optical element of object lens in the battle array industrial camera of face and imaging system, and β illustrates objective lens optical system imaging in vertical axial magnification level and orientation；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 measure, and when imaging system is fixed, the lens location of face battle array industrial camera fixes and inclination angle is determined, generating laser is determined from transmitting platform height, the axis of generating laser is fixing with the angle theta of objective lens optical axis in the battle array industrial camera of face, and in the battle array industrial camera of face, the optical element of object lens and the horizontal magnification multiplying power β of imaging system fix, then k is also fixed value.
6. the detection method of a kind of wood-based product according to claim 2 thickness, it is characterized in that, in S2 step, the thickness profile information of tested wood-based product is converted to the method for the thickness profile image information of tested wood-based product and to tested wood-based product surface and is reflected by laser transmitter projects for fan-shaped light source, optical signal quilt cover battle array industrial camera receives and changes into charge signal, amplifies then through external sampling and analog-to-digital conversion circuit changes into data image signal.
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106767452A (en) * | 2017-01-03 | 2017-05-31 | 徐兆军 | A kind of wood-based product's width detecting and its detection method |
| CN107014295A (en) * | 2017-05-31 | 2017-08-04 | 顺丰科技有限公司 | Volume measurement device, application method and the conveyer with cubing function |
| CN110214120A (en) * | 2016-10-24 | 2019-09-06 | 威尔浩克私人有限公司 | Belt checks system and method |
| CN110806179A (en) * | 2019-11-28 | 2020-02-18 | 贵州中烟工业有限责任公司 | Method for measuring thickness of tobacco block slice |
| CN111336939A (en) * | 2020-03-13 | 2020-06-26 | 安标国家矿用产品安全标志中心有限公司 | Machine vision-based online detection method and device for gap between explosion-proof joint surfaces |
| CN112595245A (en) * | 2021-03-08 | 2021-04-02 | 深圳中科飞测科技股份有限公司 | Detection method, detection system, and non-volatile computer-readable storage medium |
| CN113048899A (en) * | 2021-06-02 | 2021-06-29 | 中国科学院自动化研究所 | Thickness measuring method and system based on line structured light |
| CN117190887A (en) * | 2023-11-06 | 2023-12-08 | 深圳市磐锋精密技术有限公司 | Aerogel thickness automatic detection system for mobile phone production |
| WO2024044968A1 (en) * | 2022-08-30 | 2024-03-07 | 宁德时代新能源科技股份有限公司 | Measurement method and apparatus for electrode sheet |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4498771A (en) * | 1981-09-17 | 1985-02-12 | International Business Machines Corporation | Method and means for interferometric surface topography |
| CN2349537Y (en) * | 1998-12-29 | 1999-11-17 | 西安交通大学 | Laser on line pachometer |
| CN203405574U (en) * | 2013-08-22 | 2014-01-22 | 刘学文 | Laser two dimensional triangle method distance measuring instrument |
| CN103644851A (en) * | 2013-11-22 | 2014-03-19 | 大连日佳电子有限公司 | Online thickness monitor and online thickness monitoring method |
| CN103673901A (en) * | 2013-11-22 | 2014-03-26 | 大连日佳电子有限公司 | Solder paste thickness testing method and solder paste thickness tester |
-
2016
- 2016-05-23 CN CN201610344171.5A patent/CN105783746A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4498771A (en) * | 1981-09-17 | 1985-02-12 | International Business Machines Corporation | Method and means for interferometric surface topography |
| CN2349537Y (en) * | 1998-12-29 | 1999-11-17 | 西安交通大学 | Laser on line pachometer |
| CN203405574U (en) * | 2013-08-22 | 2014-01-22 | 刘学文 | Laser two dimensional triangle method distance measuring instrument |
| CN103644851A (en) * | 2013-11-22 | 2014-03-19 | 大连日佳电子有限公司 | Online thickness monitor and online thickness monitoring method |
| CN103673901A (en) * | 2013-11-22 | 2014-03-26 | 大连日佳电子有限公司 | Solder paste thickness testing method and solder paste thickness tester |
Non-Patent Citations (2)
| Title |
|---|
| 万瑾等: "激光三角法测量的研究", 《三明学院学报》 * |
| 胡庆英等: "激光三角法及其在几何量测量中的应用", 《宇航计测技术》 * |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110214120B (en) * | 2016-10-24 | 2022-07-22 | 威尔浩克私人有限公司 | Belt inspection system and method |
| CN110214120A (en) * | 2016-10-24 | 2019-09-06 | 威尔浩克私人有限公司 | Belt checks system and method |
| CN106767452A (en) * | 2017-01-03 | 2017-05-31 | 徐兆军 | A kind of wood-based product's width detecting and its detection method |
| CN107014295A (en) * | 2017-05-31 | 2017-08-04 | 顺丰科技有限公司 | Volume measurement device, application method and the conveyer with cubing function |
| CN107014295B (en) * | 2017-05-31 | 2023-11-24 | 顺丰科技有限公司 | Volume measuring device, use method and conveying device with volume measuring function |
| CN110806179A (en) * | 2019-11-28 | 2020-02-18 | 贵州中烟工业有限责任公司 | Method for measuring thickness of tobacco block slice |
| CN110806179B (en) * | 2019-11-28 | 2021-04-30 | 贵州中烟工业有限责任公司 | Method for measuring thickness of tobacco block slice |
| CN111336939B (en) * | 2020-03-13 | 2021-08-13 | 安标国家矿用产品安全标志中心有限公司 | Machine vision-based online detection method and device for gap between explosion-proof joint surfaces |
| CN111336939A (en) * | 2020-03-13 | 2020-06-26 | 安标国家矿用产品安全标志中心有限公司 | Machine vision-based online detection method and device for gap between explosion-proof joint surfaces |
| CN112595245A (en) * | 2021-03-08 | 2021-04-02 | 深圳中科飞测科技股份有限公司 | Detection method, detection system, and non-volatile computer-readable storage medium |
| CN113048899A (en) * | 2021-06-02 | 2021-06-29 | 中国科学院自动化研究所 | Thickness measuring method and system based on line structured light |
| WO2024044968A1 (en) * | 2022-08-30 | 2024-03-07 | 宁德时代新能源科技股份有限公司 | Measurement method and apparatus for electrode sheet |
| CN117190887A (en) * | 2023-11-06 | 2023-12-08 | 深圳市磐锋精密技术有限公司 | Aerogel thickness automatic detection system for mobile phone production |
| CN117190887B (en) * | 2023-11-06 | 2024-01-30 | 深圳市磐锋精密技术有限公司 | Aerogel thickness automatic detection system for mobile phone production |
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Inventor after: Xu Zhaojun Inventor after: Zhu Nanfeng Inventor after: Zhang Mo Inventor after: Lu Dongmei Inventor after: Zhou Handong Inventor after: Ding Tao Inventor after: Wang Baojin Inventor before: Xu Zhaojun Inventor before: Zhu Nanfeng Inventor before: Lv Zhijuan Inventor before: Lu Dongmei Inventor before: Zhou Handong Inventor before: Ding Tao Inventor before: Wang Baojin |
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Correction item: Inventor Correct: Xu Zhaojun|Zhu Nanfeng|Zhang Wei|Lu Dongmei|Zhou Handong|Ding Tao|Wang Baojin False: Xu Zhaojun|Zhu Nanfeng|Zhang Mo|Lu Dongmei|Zhou Handong|Ding Tao|Wang Baojin Number: 51-02 Volume: 33 |
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Application publication date: 20160720 |