CN201413296Y - Device for detecting board surface flaw - Google Patents

Device for detecting board surface flaw Download PDF

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Publication number
CN201413296Y
CN201413296Y CN200920304280XU CN200920304280U CN201413296Y CN 201413296 Y CN201413296 Y CN 201413296Y CN 200920304280X U CN200920304280X U CN 200920304280XU CN 200920304280 U CN200920304280 U CN 200920304280U CN 201413296 Y CN201413296 Y CN 201413296Y
Authority
CN
China
Prior art keywords
electrically connected
plank
conveyor belt
travelling belt
utility
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN200920304280XU
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Chinese (zh)
Inventor
朱卫忠
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.)
ZHEJIANG CHANX WOOD CO Ltd
Original Assignee
ZHEJIANG CHANX WOOD 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 ZHEJIANG CHANX WOOD CO Ltd filed Critical ZHEJIANG CHANX WOOD CO Ltd
Priority to CN200920304280XU priority Critical patent/CN201413296Y/en
Application granted granted Critical
Publication of CN201413296Y publication Critical patent/CN201413296Y/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

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Abstract

The utility model discloses a device for detecting board surface flaw, comprising a conveyor belt (1); a detecting device (2) is above the conveyor belt (1) and is electrically connected with a computer (3) which is electrically connected with a controlling means (4) of the conveyor belt (1); and the controlling means (4) is electrically connected with a motor of the conveyor belt (1). The deviceof the utility model can replace the artificial detection and relieves the labor intensity of the workers; and has high accuracy rate in the detection process and high screening quality through comparing the image scanned by an image scanner and the standard image in the computer and detecting the concave pit and the crack on the board by an infrared detector so as to ensure the product quality and promote the enterprise creditworthiness.

Description

A kind of device that detects the plank surface imperfection
Technical field
The utility model relates to a kind of device that detects the plank surface imperfection.
Background technology
In the production run of timber floor, at first to screen, the crackle or have the defective plank of obvious pit to screen of scabbing is arranged on the plank to plank.Be to adopt artificial screening at present, the workman stares at plank for a long time and sees, is easy to cause eye fatigue, and the time has been grown and can occur leaking choosing unavoidably.If take place to leak choosing, just finding in process has problem, can cause the waste of manpower and materials, if also do not find to influence the prestige of product quality and enterprise in process.
The utility model content
The purpose of this utility model is, a kind of device that detects the plank surface imperfection is provided.It can select underproof plank by Automatic sieve, alleviates labor strength.The utility model screening accuracy rate height can guarantee to screen quality, improves the quality of products and goodwill.
The technical solution of the utility model: a kind of device that detects the plank surface imperfection, constitute and comprise travelling belt, above travelling belt, be provided with pick-up unit, pick-up unit and computing machine are electrically connected, the control device of computing machine and travelling belt is electrically connected, and the motor of control device and travelling belt is electrically connected.
In the device of above-mentioned detection plank surface imperfection, described pick-up unit comprises image analyzer and infrared detector.
In the device of aforementioned detection plank surface imperfection, be provided with standard picture and compare of analysis module in the described computing machine.
Compared with prior art, the device of detection plank surface imperfection of the present utility model can substitute manual detection, can alleviate labor strength.Image that scans by image analyzer and the reference image in the computing machine are compared, and by the recessed anti-and crackle on the infrared detector detection plank, accuracy rate height in testing process can guarantee to screen quality, thereby also just guaranteed product quality, can promote the credit worthiness of enterprise.
Description of drawings
Fig. 1 is a structural representation of the present utility model.
Being labeled as in the accompanying drawing: 1-travelling belt, 2-pick-up unit, 3-computing machine, 4-control device, 5-image analyzer, 6-infrared detector, 7-standard picture, 8-analysis module, the detected plank of 9-.
Embodiment
The utility model is described in further detail below in conjunction with drawings and Examples.
Embodiment.A kind of device that detects the plank surface imperfection of the present utility model as shown in Figure 1, the formation of this device comprises travelling belt, detected plank 9 moves on travelling belt 1, is provided with pick-up unit 2 above travelling belt 1, and pick-up unit 2 comprises image analyzer 5 and infrared detector 6.Image analyzer 5 is mainly used in and detects scabbing on the plank, infrared detector 6 mainly detects pit on the plank or crackle, if pit or crackle are arranged, can change the reflection interval of infrared light, the road speed infrared detector on the similar highway, according to detecting distance the reflection interval of infrared light, smooth plank should distance everywhere equate if run into pit is arranged, distance between plank and the infrared infrared detector can change, and determines whether defectiveness according to variable in distance.Pick-up unit 2 is electrically connected with computing machine 3, is provided with standard picture 7 and compare of analysis module 8 in the computing machine 3.Standard picture 7 blurs comparison with the image that image analyzer 5 scans, and so-called fuzzy comparison is to judge whether the texture of wood grain is smooth and easy, might not be identical, if run into the image that texture has some setbacks, then explanation scabs.Compare of analysis module 8 is according to above-mentioned ultimate principle image or the infrared ray that scans to be carried out analytical calculation.Computing machine 3 is electrically connected with the control device 4 of travelling belt 1; computing machine 3 flows to the control device 4 of travelling belt 1 with analysis result, and control device 4 is electrically connected with the motor of travelling belt 1, when finding defective plank; travelling belt 1 auto stop is picked out defective plank by operating personnel.Perhaps automatically defective plank is picked out by aut.eq..

Claims (2)

1. device that detects the plank surface imperfection, it is characterized in that: formation comprises travelling belt (1), be provided with pick-up unit (2) in the top of travelling belt (1), pick-up unit (2) is electrically connected with computing machine (3), computing machine (3) is electrically connected with the control device (4) of travelling belt (1), and control device (4) is electrically connected with the motor of travelling belt (1).
2. the device of detection plank surface imperfection according to claim 1 is characterized in that: described pick-up unit (2) comprises image analyzer (5) and infrared detector (6).
CN200920304280XU 2009-06-11 2009-06-11 Device for detecting board surface flaw Expired - Fee Related CN201413296Y (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN200920304280XU CN201413296Y (en) 2009-06-11 2009-06-11 Device for detecting board surface flaw

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN200920304280XU CN201413296Y (en) 2009-06-11 2009-06-11 Device for detecting board surface flaw

Publications (1)

Publication Number Publication Date
CN201413296Y true CN201413296Y (en) 2010-02-24

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Family Applications (1)

Application Number Title Priority Date Filing Date
CN200920304280XU Expired - Fee Related CN201413296Y (en) 2009-06-11 2009-06-11 Device for detecting board surface flaw

Country Status (1)

Country Link
CN (1) CN201413296Y (en)

Cited By (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102313747A (en) * 2011-07-27 2012-01-11 国家***北京林业机械研究所 Image acquisition system for sawn timber surface defects and detection method
CN102935581A (en) * 2012-11-05 2013-02-20 宁波镇明转轴有限公司 Manufacture method of high-voltage motor mandrel
CN103760168A (en) * 2014-01-15 2014-04-30 陈涛 Smoothness-characteristic-quantity-based surface gray scale defect detection method for rotary-cut wooden product
CN106680299A (en) * 2017-01-12 2017-05-17 国家***北京林业机械研究所 Plate knurr appearance quality evaluation method
CN107782731A (en) * 2016-08-31 2018-03-09 西门子(中国)有限公司 Method for the plant equipment of service components surface damage
CN108426892A (en) * 2018-06-12 2018-08-21 广东理工学院 A kind of machine vision device of detection household plate surface defect
CN108459023A (en) * 2018-03-27 2018-08-28 松下电子部品(江门)有限公司 Biradical pseudo-capacitance appearance images detection method
CN108519387A (en) * 2018-03-30 2018-09-11 福建农林大学 The intelligent identification Method of rounding Veneer quality classification
CN108982517A (en) * 2018-07-25 2018-12-11 天津中车风电叶片工程有限公司 A kind of Barcelona wood detection device
CN109299895A (en) * 2018-09-14 2019-02-01 江苏品品鲜生物科技有限公司 A kind of bacterium bag dress packet transportation system
CN109570052A (en) * 2019-01-25 2019-04-05 南通理工学院 Lightweight high-precision fruits and vegetables intelligent sorting equipment
CN110231344A (en) * 2019-07-17 2019-09-13 佛山市清极能源科技有限公司 A kind of film electrode fault, which quickly sieves, picks method and apparatus
CN110434946A (en) * 2019-07-16 2019-11-12 广州厨派五金木制品有限公司 A kind of woodwork cutting machine and its cutting method
CN111912845A (en) * 2020-06-23 2020-11-10 浙江博星工贸有限公司 Small-size cold rolling stainless steel strip surface defect detection device
CN111964785A (en) * 2020-07-17 2020-11-20 北京控制工程研究所 Method for pre-estimating qualification rate of vacuum screening test of infrared detector
CN112604984A (en) * 2020-12-04 2021-04-06 胡邵宣 Auxiliary detection device for steam eye patch production
CN113155853A (en) * 2020-08-13 2021-07-23 株式会社名南制作所 Defect detection system, defect detection method, and program for detecting defects of plate-like wood
CN113310996A (en) * 2021-07-08 2021-08-27 深圳市华亮五金科技有限公司 Defect detection device and detection method thereof

Cited By (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102313747B (en) * 2011-07-27 2013-06-05 国家***北京林业机械研究所 Image acquisition system for sawn timber surface defects and detection method
CN102313747A (en) * 2011-07-27 2012-01-11 国家***北京林业机械研究所 Image acquisition system for sawn timber surface defects and detection method
CN102935581A (en) * 2012-11-05 2013-02-20 宁波镇明转轴有限公司 Manufacture method of high-voltage motor mandrel
CN102935581B (en) * 2012-11-05 2015-04-22 宁波镇明转轴有限公司 Manufacture method of high-voltage motor mandrel
CN103760168A (en) * 2014-01-15 2014-04-30 陈涛 Smoothness-characteristic-quantity-based surface gray scale defect detection method for rotary-cut wooden product
CN107782731A (en) * 2016-08-31 2018-03-09 西门子(中国)有限公司 Method for the plant equipment of service components surface damage
CN106680299A (en) * 2017-01-12 2017-05-17 国家***北京林业机械研究所 Plate knurr appearance quality evaluation method
CN108459023A (en) * 2018-03-27 2018-08-28 松下电子部品(江门)有限公司 Biradical pseudo-capacitance appearance images detection method
CN108519387B (en) * 2018-03-30 2023-10-27 福建农林大学 Intelligent identification method for quality classification of log rotary-cut single boards
CN108519387A (en) * 2018-03-30 2018-09-11 福建农林大学 The intelligent identification Method of rounding Veneer quality classification
CN108426892A (en) * 2018-06-12 2018-08-21 广东理工学院 A kind of machine vision device of detection household plate surface defect
CN108982517A (en) * 2018-07-25 2018-12-11 天津中车风电叶片工程有限公司 A kind of Barcelona wood detection device
CN109299895A (en) * 2018-09-14 2019-02-01 江苏品品鲜生物科技有限公司 A kind of bacterium bag dress packet transportation system
CN109570052A (en) * 2019-01-25 2019-04-05 南通理工学院 Lightweight high-precision fruits and vegetables intelligent sorting equipment
CN110434946A (en) * 2019-07-16 2019-11-12 广州厨派五金木制品有限公司 A kind of woodwork cutting machine and its cutting method
CN110231344A (en) * 2019-07-17 2019-09-13 佛山市清极能源科技有限公司 A kind of film electrode fault, which quickly sieves, picks method and apparatus
CN111912845A (en) * 2020-06-23 2020-11-10 浙江博星工贸有限公司 Small-size cold rolling stainless steel strip surface defect detection device
CN111964785A (en) * 2020-07-17 2020-11-20 北京控制工程研究所 Method for pre-estimating qualification rate of vacuum screening test of infrared detector
CN113155853A (en) * 2020-08-13 2021-07-23 株式会社名南制作所 Defect detection system, defect detection method, and program for detecting defects of plate-like wood
CN112604984A (en) * 2020-12-04 2021-04-06 胡邵宣 Auxiliary detection device for steam eye patch production
CN112604984B (en) * 2020-12-04 2022-09-09 苏州市东挺河智能科技发展有限公司 Auxiliary detection device for steam eye patch production
CN113310996A (en) * 2021-07-08 2021-08-27 深圳市华亮五金科技有限公司 Defect detection device and detection method thereof

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C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20100224

Termination date: 20150611

EXPY Termination of patent right or utility model