CN108943179A - A kind of optimal cutling method for arithmetic for lumber surface defects' - Google Patents

A kind of optimal cutling method for arithmetic for lumber surface defects' Download PDF

Info

Publication number
CN108943179A
CN108943179A CN201810961397.9A CN201810961397A CN108943179A CN 108943179 A CN108943179 A CN 108943179A CN 201810961397 A CN201810961397 A CN 201810961397A CN 108943179 A CN108943179 A CN 108943179A
Authority
CN
China
Prior art keywords
defect
timber
plagiocephaly
cut
face
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.)
Granted
Application number
CN201810961397.9A
Other languages
Chinese (zh)
Other versions
CN108943179B (en
Inventor
黄猛
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.)
Huiquan Intelligent Technology (suzhou) Co Ltd
Original Assignee
Huiquan Intelligent Technology (suzhou) 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 Huiquan Intelligent Technology (suzhou) Co Ltd filed Critical Huiquan Intelligent Technology (suzhou) Co Ltd
Priority to CN201810961397.9A priority Critical patent/CN108943179B/en
Publication of CN108943179A publication Critical patent/CN108943179A/en
Application granted granted Critical
Publication of CN108943179B publication Critical patent/CN108943179B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B27WORKING OR PRESERVING WOOD OR SIMILAR MATERIAL; NAILING OR STAPLING MACHINES IN GENERAL
    • B27CPLANING, DRILLING, MILLING, TURNING OR UNIVERSAL MACHINES FOR WOOD OR SIMILAR MATERIAL
    • B27C5/00Machines designed for producing special profiles or shaped work, e.g. by rotary cutters; Equipment therefor
    • B27C5/006Machines designed for producing special profiles or shaped work, e.g. by rotary cutters; Equipment therefor with non-rotating tools

Landscapes

  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Wood Science & Technology (AREA)
  • Forests & Forestry (AREA)

Abstract

The invention discloses a kind of optimal cutling methods for arithmetic for lumber surface defects'; specifically includes the following steps: S1, first rubber wood timber are cut, laterally and after vertical polishing by raw material by manually blind; it is cut into the wooden unit of 300mm one piece about long, width 80mm and thickness 25mm; these timber usually have black section, Bai Jie, pith, lack the defects of side, cracking, plagiocephaly, breakage; timber is cut according to the regularity of distribution of defect; timber is divided into four kinds: AA material, AB material, C material and waste material after cutting, is related to wood processing technique field.This is directed to the optimal cutling method of arithmetic for lumber surface defects', it can be achieved to use deep learning parser, complete the detection to the defect of wood surface, timber output can be made to reach maximum economic benefit, it has been greatly saved cost of labor, production efficiency is improved, the use value of timber is improved, overcomes the artificial problem for being easy to cause to judge by accident to cutting position and artificial setting-out efficiency is lower.

Description

A kind of optimal cutling method for arithmetic for lumber surface defects'
Technical field
The present invention relates to wood processing technique field, specially a kind of optimal cutling method for arithmetic for lumber surface defects'.
Background technique
Rubber wood timber is cut, laterally and after vertical polishing by raw material by manually blind, and 300mm one piece about long is cut into, wide 80mm, the wooden unit of thickness 25mm, these timber usually have black section, Bai Jie, pith, lack the defects of side, cracking, plagiocephaly, breakage, The presence of these defects will affect the beauty for the furniture that timber is made into, therefore need to cut timber according to the regularity of distribution of defect It cuts, timber is divided into four kinds: AA material, AB material, C material, waste material after cutting.The timber length that wherein AA material, AB material, C expect all is greater than 100mm, the length of waste material are less than 100mm, and AA material refers to two faces all without defect, and AB material refers to that only one face is defective, and C material refers to Two faces are all defective, and the economic value of AA material and AB material is higher, and C material wants more relatively cheap, and waste material is then to give up unused material, The principle of cutting scheme is: going out more AA material and AB material as far as possible, while avoiding the generation of waste material, cutting method is people at present Work observes the defect distribution of wooden unit upper and lower surface, draws straight line in timber cutting position with e-Pointer, is then cut by dedicated Equipment is cut to identify the position of the straight line and cut.
The program has the disadvantage that 1 at present, is artificial to pursue speed of production, may generate erroneous judgement to cutting position, The cutting scheme not being optimal reduces the volume recovery of timber;2, artificial to need to be thought deeply most according to the defect distribution in two faces Excellent cutting position, and cutting line is drawn out with e-Pointer, the plenty of time can be consumed in this way, influences the output efficiency of timber;3, Wood-working factory's environment where artificial has the undesirable elements such as high temperature, dust, damages health, and cost of labor is higher.
Summary of the invention
(1) the technical issues of solving
In view of the deficiencies of the prior art, the present invention provides a kind of optimal cutling method for arithmetic for lumber surface defects', solutions It has determined artificial to pursue speed of production, erroneous judgement may be generated to cutting position, the cutting scheme not being optimal reduces The volume recovery of timber can consume the plenty of time, influence the output efficiency of timber, damage staff's health, and manually at This higher problem.
(2) technical solution
In order to achieve the above object, the present invention is achieved by the following technical programs: a kind of for arithmetic for lumber surface defects' Optimal cutling method, specifically includes the following steps:
S1, first rubber wood timber are cut, laterally and after vertical polishing by raw material by manually blind, are cut into one piece about long The wooden unit of 300mm, width 80mm and thickness 25mm, these timber usually have black section, Bai Jie, pith, lack side, cracking, plagiocephaly, break The defects of damage, cuts timber according to the regularity of distribution of defect, after cutting timber be divided into four kinds: AA material, AB material, C material and Waste material;
S2, the image that two faces of timber are then acquired with high resolution industrial CCD, using convolutional neural networks algorithm to wood The defect in two faces of material is detected, and center and the area of each defect are extracted;
S3, Blob analysis is carried out to defect, filters out the lesser defect of area, and find out the external square of minimum of each defect Shape can be merged into one big rectangle to two rectangles and handle if two rectangles have overlapping region, or are separated by relatively closely;
S4, judge whether timber both ends defective or plagiocephaly, and if it exists, defect or plagiocephaly region are then cut off, although in this way A part of waste material can be generated, but understands the more AA material of output or AB material simultaneously;
S5, after excluding plagiocephaly and both ends defect, intermediate defect distribution is analyzed, first by the defect in two faces of timber It is mapped on a face, finds out the top defect on the face to the distance and bottom defect of timber top edge to timber lower edge Distance;
S6, whether be greater than 100mm according to two distances in S5, cutting scheme be divided into three categories, the first: two away from When from being all greater than 100mm, in the top, partial application is distinguished at the edge of defect and bottom defect, takes two AA material and one piece shorter Waste material, second: only one distance about 100mm, for example the distance of the top defect to timber top edge is more than 100mm takes an AA material and an AB material or C material then in the top edge partial application of the defect, the third: two distances are all small In 100mm, the distance for analyzing most marginal defect to the same side edge of timber in single face, which whether there is, is greater than 100mm, if depositing Then in the Defect Edge partial application, an AB material and C material are being taken.
Preferably, judge whether the both ends of timber have plagiocephaly or defect in the step S6, if only existing plagiocephaly, excision is oblique Head region when there are following two kinds of situations, then cuts off defect if both ends are defective, the first: when defect is smaller, and Tow sides in timber one end are all defective, and second: when defect is smaller, in timber one end, only one face is defective, and The defect is translated without other defect in 100mm inward, if not only there is plagiocephaly but also there are both ends defect, to two cutting lines into Row merges, it is ensured that plagiocephaly and head defect are cut off simultaneously, save the time that more partial applications generate in this way.
Preferably, the defect by two faces of timber is mapped on the same face, is found out the top defect on the face and is arrived Whether the distance z1 on timber top and bottom defect and are greater than 100mm according to the two distances to the distance z2 of timber end Defect distribution is divided into four major class: z1 and z2 be all greater than 100, z1>100 and z2<100, z1<100 and z2>100, z1 and z2 it is all small In 100
(3) beneficial effect
The present invention provides a kind of optimal cutling methods for arithmetic for lumber surface defects'.Have compared with prior art following The utility model has the advantages that should be for the optimal cutling method of arithmetic for lumber surface defects', by specifically includes the following steps: S1, first rubber Wood is cut, laterally and after vertical polishing by raw material by manually blind, and 300mm one piece about long, width 80mm and thickness 25mm are cut into Wooden unit, these timber usually have black section, Bai Jie, pith, lack side, cracking, plagiocephaly, breakage the defects of, according to defect point Cloth rule cuts timber, and timber is divided into four kinds: AA material, AB material, C material and waste material after cutting, S2, then uses high-resolution Industrial CCD acquires the image in two faces of timber, is detected, is mentioned using defect of the convolutional neural networks algorithm to two faces of timber Center and the area of each defect are taken out, Blob analysis S3, is carried out to defect, filters out the lesser defect of area, and ask The minimum circumscribed rectangle of each defect out can be merged into one to two rectangles if two rectangles have overlapping region, or are separated by relatively closely Big rectangle is handled, and S4, judges whether timber both ends defective or plagiocephaly, and if it exists, defect or plagiocephaly region are then cut off, though A part of waste material so can be generated in this way, but understands the more AA material of output or AB material simultaneously, after S5, exclusion plagiocephaly and both ends defect, Intermediate defect distribution is analyzed, the defect in two faces of timber is mapped on a face first, finds out the top on the face Defect to timber top edge distance and bottom defect to the distance of timber lower edge, S6, be according to two distances in S5 It is no be greater than 100mm, cutting scheme is divided into three categories, the first: when two distances are all greater than 100mm, in the top defect and Partial application is distinguished at the edge of bottom defect, takes two AA material and one piece of shorter waste material, it can be achieved that analyzing using deep learning Algorithm is completed timber output can be made to reach maximum economic benefit, instead of traditional people the detection of the defect of wood surface Human factor bring optimal cutling position judges the problem of inaccurate and inefficiency in work detection process, has been greatly saved artificial Cost improves production efficiency, realizes and carries out mathematical modeling according to the regularity of distribution of arithmetic for lumber surface defects', from numerous defects point Mathematical model is extracted in cloth type, three categories is classified as and goes to consider, and subdivision analysis has been carried out to each major class, so that Cutting scheme realizes standardization, and on the one hand which can produce more AA material and AB material, while avoiding giving up as far as possible The generation of material improves the use value of timber so that the volume recovery of timber reaches maximization, overcomes artificial be easy to cutting It cuts position and causes erroneous judgement and the artificial lower problem of efficiency that draws lines, save cost of labor, improve production efficiency.
Detailed description of the invention
Fig. 1 is the structural diagram of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other Embodiment shall fall within the protection scope of the present invention.
Referring to Fig. 1, the embodiment of the present invention provides a kind of technical solution: a kind of optimal cutling for arithmetic for lumber surface defects' Method, specifically includes the following steps:
S1, first rubber wood timber are cut, laterally and after vertical polishing by raw material by manually blind, are cut into one piece about long The wooden unit of 300mm, width 80mm and thickness 25mm, these timber usually have black section, Bai Jie, pith, lack side, cracking, plagiocephaly, break The defects of damage, cuts timber according to the regularity of distribution of defect, after cutting timber be divided into four kinds: AA material, AB material, C material and Waste material;
S2, the image that two faces of timber are then acquired with high resolution industrial CCD, using convolutional neural networks algorithm to wood The defect in two faces of material is detected, and center and the area of each defect are extracted;
S3, Blob analysis is carried out to defect, filters out the lesser defect of area, and find out the external square of minimum of each defect Shape can be merged into one big rectangle to two rectangles and handle if two rectangles have overlapping region, or are separated by relatively closely;
S4, judge whether timber both ends defective or plagiocephaly, and if it exists, defect or plagiocephaly region are then cut off, although in this way A part of waste material can be generated, but understands the more AA material of output or AB material simultaneously;
S5, after excluding plagiocephaly and both ends defect, intermediate defect distribution is analyzed, first by the defect in two faces of timber It is mapped on a face, finds out the top defect on the face to the distance and bottom defect of timber top edge to timber lower edge Distance;
S6, whether be greater than 100mm according to two distances in S5, cutting scheme be divided into three categories, the first: two away from When from being all greater than 100mm, in the top, partial application is distinguished at the edge of defect and bottom defect, takes two AA material and one piece shorter Waste material, second: only one distance about 100mm, for example the distance of the top defect to timber top edge is more than 100mm takes an AA material and an AB material or C material then in the top edge partial application of the defect, the third: two distances are all small In 100mm, the distance for analyzing most marginal defect to the same side edge of timber in single face, which whether there is, is greater than 100mm, if depositing Then in the Defect Edge partial application, an AB material and C material are being taken.
In the present invention, judge whether the both ends of timber have plagiocephaly or defect in step S6, if only existing plagiocephaly, cuts off plagiocephaly Region when there are following two kinds of situations, then cuts off defect if both ends are defective, the first: when defect is smaller, and The tow sides of timber one end are all defective, and second: when defect is smaller, in timber one end, only one face is defective, and should Defect is translated without other defect in 100mm inward, if not only there is plagiocephaly but also there are both ends defect, is carried out to two cutting lines Merge, it is ensured that plagiocephaly and head defect are cut off simultaneously, save the time that more partial applications generate in this way, the invention firstly uses Convolutional neural networks deep learning algorithm carries out analysis detection to the defect of wood surface, extracts the position of each defect and big It is small, too small defect is screened out, the minimum circumscribed rectangle of each defect is found out, if adjacent two rectangle has overlapping region or phase When closer, two rectangles are merged, a larger rectangle are formed, convenient for the analysis of subsequent cutting position.
In the present invention, the defect in two faces of timber is mapped on the same face, finds out on the face the top defect to wood The distance z1 on material top and bottom defect, and will according to whether the two distances are greater than 100mm to the distance z2 of timber end Defect distribution is divided into four major class: z1 and z2 is all greater than 100, z1>100 and z2<100, z1<100 and z2>100, z1 and z2 are smaller than 100, (1), when z1 > 100 and z2 > 100, four kinds of situations can be divided into and accounted for, 1, when defect length be less than knife it is wide when, just One knife can cut off entire defect, two AA material of output.
2, when defect length is greater than, knife is wide, and only one face is defective, in Defect Edge partial application, one AA material of output Expect with AB.
3, when defect length is greater than, knife is wide, and two faces are all defective, cut respectively in the uppermost edge of defect and lowermost edge One knife, two AA material of output and a waste material.
(2), when only one value of z1 and z2 is greater than 100, such as z1>100, z2<100, another situation is similar, can It is divided into three categories consideration, 1, when timber length-z1 < 100, go out partial application, one AA material of output in the position of timber length -100 Expect with a C.
2, when timber length-z1 > 100, and the defect in two faces has overlapping region, and in the top, the top edge of defect cuts one Knife, one AA material of output and a C material.
3, when timber length-z1 > 100, and the non-overlapping region of defect in two faces, the edge between two planar defects cuts one Knife, two AB material of output.
(3), when z1 and z2 two value both less than 100, can be divided into three categories and take consideration, 1, when only one face it is defective, It does not cut, entirely AB is taken to expect.
2, when two faces are all defective, and the edge of defect to the timber at both ends is smaller than 100mm in two faces, does not cut It cuts, entirely C is taken to expect.
3, when two faces are all defective, select the defect at both ends in two faces to the maximum distance at the edge of timber, and should Distance is greater than 100mm, then in the Defect Edge partial application, one AB material of output and a C material.
It should be noted that, in this document, relational terms such as first and second and the like are used merely to a reality Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or equipment Intrinsic element.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding And modification, the scope of the present invention is defined by the appended.

Claims (3)

1. a kind of optimal cutling method for arithmetic for lumber surface defects', it is characterised in that: specifically includes the following steps:
S1, first rubber wood timber are cut, laterally and after vertical polishing by raw material by manually blind, and 300mm one piece about long, width are cut into The wooden unit of 80mm and thickness 25mm, these timber usually have black section, Bai Jie, pith, scarce side, cracking, plagiocephaly, breakage etc. and lack It falls into, timber is cut according to the regularity of distribution of defect, timber is divided into four kinds: AA material, AB material, C material and waste material after cutting;
S2, the image that two faces of timber are then acquired with high resolution industrial CCD, using convolutional neural networks algorithm to timber two The defect in a face is detected, and center and the area of each defect are extracted;
S3, Blob analysis is carried out to defect, filters out the lesser defect of area, and find out the minimum circumscribed rectangle of each defect, If two rectangles have overlapping region, or are separated by relatively closely, can two rectangles be merged into one big rectangle and handled;
S4, judge whether timber both ends defective or plagiocephaly, and if it exists, defect or plagiocephaly region are then cut off, although can produce in this way Raw a part of waste material, but the more AA material of output or AB material are understood simultaneously;
S5, after excluding plagiocephaly and both ends defect, intermediate defect distribution is analyzed, first maps the defect in two faces of timber Onto a face, find out the top defect on the face to timber top edge distance and bottom defect to timber lower edge away from From;
S6, whether it is greater than 100mm according to two distances in S5, cutting scheme is divided into three categories, the first: two distances are all When greater than 100mm, in the top, partial application is distinguished at the edge of defect and bottom defect, takes two AA to expect useless with one piece shorter Material, second: only one distance about 100mm, for example the distance of the top defect to timber top edge is more than 100mm, then In the top edge partial application of the defect, an AA material and an AB material or C material are taken, the third: two distances are smaller than 100mm, The distance for analyzing most marginal defect to the same side edge of timber in single face, which whether there is, is greater than 100mm, and if it exists, then at this Defect Edge partial application takes an AB material and C material.
2. a kind of optimal cutling method for arithmetic for lumber surface defects' according to claim 1, it is characterised in that: the step Judge whether the both ends of timber have plagiocephaly or defect in rapid S6, if only existing plagiocephaly, cuts off plagiocephaly region, if both ends are defective, When there are following two kinds of situations, then defect is cut off, the first: when defect is smaller, and the tow sides in timber one end All defective, second: when defect is smaller, in timber one end, only one face is defective, and the defect translates in 100mm inward There is no other defect, if not only there is plagiocephaly but also there are both ends defects, two cutting lines is merged, it is ensured that plagiocephaly and head Portion's defect is cut off simultaneously, saves the time that more partial applications generate in this way.
3. a kind of optimal cutling method for arithmetic for lumber surface defects' according to claim 1, it is characterised in that: described to incite somebody to action The defect in two faces of timber is mapped on the same face, finds out the top defect on the face to the distance z1 on timber top and most lower Hold defect to the distance z2 of timber end, and defect distribution is divided into four major class: z1 according to whether the two distances are greater than 100mm All it is greater than 100, z1>100 with z2 and z2<100, z1<100 and z2>100, z1 and z2 is smaller than 100.
CN201810961397.9A 2018-08-22 2018-08-22 Optimal cutting method for wood surface defects Active CN108943179B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810961397.9A CN108943179B (en) 2018-08-22 2018-08-22 Optimal cutting method for wood surface defects

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810961397.9A CN108943179B (en) 2018-08-22 2018-08-22 Optimal cutting method for wood surface defects

Publications (2)

Publication Number Publication Date
CN108943179A true CN108943179A (en) 2018-12-07
CN108943179B CN108943179B (en) 2021-09-28

Family

ID=64473805

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810961397.9A Active CN108943179B (en) 2018-08-22 2018-08-22 Optimal cutting method for wood surface defects

Country Status (1)

Country Link
CN (1) CN108943179B (en)

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109613011A (en) * 2019-02-01 2019-04-12 东莞中科蓝海智能视觉科技有限公司 Timber cutting surfaces smoothness detection method
CN109711611A (en) * 2018-12-17 2019-05-03 北京木业邦科技有限公司 Timber cuts volume recovery recognition methods, device, electronic equipment and storage medium
CN110148121A (en) * 2019-05-09 2019-08-20 腾讯科技(深圳)有限公司 A kind of skin image processing method, device, electronic equipment and medium
CN110790500A (en) * 2019-10-29 2020-02-14 河源旗滨硅业有限公司 Glass plate cutting method and device and terminal equipment
CN112232588A (en) * 2020-10-30 2021-01-15 福州大学 Wood cutting planning method based on accessory priority
CN113263555A (en) * 2021-06-09 2021-08-17 福州大学 Three-stage wood cutting planning method
CN113548794A (en) * 2021-08-18 2021-10-26 天津中玻北方新材料有限责任公司 Optimized cutting equipment and method for float glass production
CN113674233A (en) * 2021-08-13 2021-11-19 沭阳东川木业有限公司 Wood optimal selection saw visual detection method based on artificial intelligence
CN114505591A (en) * 2022-01-28 2022-05-17 大族激光科技产业集团股份有限公司 Pipe cutting control method, device and equipment and laser pipe cutting machine
CN117152161A (en) * 2023-11-01 2023-12-01 山东迪特智联信息科技有限责任公司 Shaving board quality detection method and system based on image recognition

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4017976A (en) * 1974-07-03 1977-04-19 Barr Anthony J Apparatus and method for maximum utilization of elongated stock
US7031789B1 (en) * 2002-08-20 2006-04-18 Precision Automation, Inc. Process management system and method
CN101444923A (en) * 2007-11-27 2009-06-03 刘丽阁 Wood blanking equipment and processing method thereof
CN103593511A (en) * 2013-10-27 2014-02-19 沈阳建筑大学 Cutting-off and layout method for natural stone slabs with defects
CN103702954A (en) * 2011-05-27 2014-04-02 法国圣戈班玻璃厂 Method for cutting one or more glass panels
CN104995572A (en) * 2013-02-22 2015-10-21 法国圣戈班玻璃厂 Method for cutting one or more glass sheets
CN107392896A (en) * 2017-07-14 2017-11-24 佛山市南海区广工大数控装备协同创新研究院 A kind of Wood Defects Testing method and system based on deep learning
CN108262809A (en) * 2017-12-14 2018-07-10 北京木业邦科技有限公司 Plank processing method, device, electronic equipment and medium based on artificial intelligence
CN108351632A (en) * 2015-08-25 2018-07-31 拜尔泰克集团股份公司 Optimization is mainly the method and system for carrying out the process of the cutting of flat product made of the nature material of wood

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4017976A (en) * 1974-07-03 1977-04-19 Barr Anthony J Apparatus and method for maximum utilization of elongated stock
US7031789B1 (en) * 2002-08-20 2006-04-18 Precision Automation, Inc. Process management system and method
CN101444923A (en) * 2007-11-27 2009-06-03 刘丽阁 Wood blanking equipment and processing method thereof
CN103702954A (en) * 2011-05-27 2014-04-02 法国圣戈班玻璃厂 Method for cutting one or more glass panels
CN104995572A (en) * 2013-02-22 2015-10-21 法国圣戈班玻璃厂 Method for cutting one or more glass sheets
CN103593511A (en) * 2013-10-27 2014-02-19 沈阳建筑大学 Cutting-off and layout method for natural stone slabs with defects
CN108351632A (en) * 2015-08-25 2018-07-31 拜尔泰克集团股份公司 Optimization is mainly the method and system for carrying out the process of the cutting of flat product made of the nature material of wood
CN107392896A (en) * 2017-07-14 2017-11-24 佛山市南海区广工大数控装备协同创新研究院 A kind of Wood Defects Testing method and system based on deep learning
CN108262809A (en) * 2017-12-14 2018-07-10 北京木业邦科技有限公司 Plank processing method, device, electronic equipment and medium based on artificial intelligence

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
《水利信息化新技术及应用》编委会: "《水利信息化新技术及应用》", 31 December 2013 *

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109711611B (en) * 2018-12-17 2021-08-17 北京木业邦科技有限公司 Wood cutting outturn rate identification method and device, electronic equipment and storage medium
CN109711611A (en) * 2018-12-17 2019-05-03 北京木业邦科技有限公司 Timber cuts volume recovery recognition methods, device, electronic equipment and storage medium
CN109613011A (en) * 2019-02-01 2019-04-12 东莞中科蓝海智能视觉科技有限公司 Timber cutting surfaces smoothness detection method
CN110148121A (en) * 2019-05-09 2019-08-20 腾讯科技(深圳)有限公司 A kind of skin image processing method, device, electronic equipment and medium
CN110148121B (en) * 2019-05-09 2022-11-22 腾讯科技(深圳)有限公司 Skin image processing method and device, electronic equipment and medium
CN110790500B (en) * 2019-10-29 2022-04-22 河源旗滨硅业有限公司 Glass plate cutting method and device and terminal equipment
CN110790500A (en) * 2019-10-29 2020-02-14 河源旗滨硅业有限公司 Glass plate cutting method and device and terminal equipment
CN112232588A (en) * 2020-10-30 2021-01-15 福州大学 Wood cutting planning method based on accessory priority
CN113263555A (en) * 2021-06-09 2021-08-17 福州大学 Three-stage wood cutting planning method
CN113674233A (en) * 2021-08-13 2021-11-19 沭阳东川木业有限公司 Wood optimal selection saw visual detection method based on artificial intelligence
CN113548794A (en) * 2021-08-18 2021-10-26 天津中玻北方新材料有限责任公司 Optimized cutting equipment and method for float glass production
CN114505591A (en) * 2022-01-28 2022-05-17 大族激光科技产业集团股份有限公司 Pipe cutting control method, device and equipment and laser pipe cutting machine
CN117152161A (en) * 2023-11-01 2023-12-01 山东迪特智联信息科技有限责任公司 Shaving board quality detection method and system based on image recognition
CN117152161B (en) * 2023-11-01 2024-03-01 山东迪特智联信息科技有限责任公司 Shaving board quality detection method and system based on image recognition

Also Published As

Publication number Publication date
CN108943179B (en) 2021-09-28

Similar Documents

Publication Publication Date Title
CN108943179A (en) A kind of optimal cutling method for arithmetic for lumber surface defects&#39;
CN102679883B (en) Tobacco shred width measuring method based on image processing
CN107088935B (en) A kind of manufacture craft of chopping board
CN103372898B (en) Integration gluing technology for wood special-shaped unit strips
CN101710072A (en) Method for detecting physical and chemical indexes of reconstituted tobacco extracting solution and tobacco extracting paste by near infrared spectrum detection paper making method
CN205427956U (en) Spread leaf platform tobacco leaf pendulum monitoring device based on industry camera
CN205521760U (en) Bamboo cutting and storage conveyer
CN208902588U (en) Full degree of mortar at bed joint detector
CN206662865U (en) A kind of cutting machine with dedusting function
CN104199742B (en) A kind of precise division method of blade profile characteristic point cloud
CN103514481A (en) Image-based product number fast measuring method and device
CN208949140U (en) A kind of glass processing cutting bed
CN207594009U (en) Environment-friendly type timber diced system with recycling function
CN102509017A (en) Method for calculating strength of shaving boards by computer
CN107932676B (en) Method for manufacturing wood material polishing particles
CN207627225U (en) It is pressed from both sides with Kei-shaped window frame slot
CN108108864B (en) Laboratory quality control data management method
CN205413517U (en) Coating construction is drenched and is scribbled frame
CN110363234A (en) Identify the method for wheat seed processing flour Lanzhou Hand-extended Noodles production applicability
CN105643688A (en) Chilli chopping device
CN219731423U (en) Detection table convenient for cleaning dust
ROLLEFSON et al. The Acheulian industry in the al-Jafr Basin of southeastern Jordan
CN209504083U (en) Stone material workshop supporter
CN210657688U (en) Cross choke gasket cutting device
CN209014315U (en) A kind of hydraulic and hydroelectric engineering ground During Geotechnical Tests detection soil sampler

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant