CN101750022A - Sintering layer thickness on-line detecting method - Google Patents

Sintering layer thickness on-line detecting method Download PDF

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Publication number
CN101750022A
CN101750022A CN 200810229765 CN200810229765A CN101750022A CN 101750022 A CN101750022 A CN 101750022A CN 200810229765 CN200810229765 CN 200810229765 CN 200810229765 A CN200810229765 A CN 200810229765A CN 101750022 A CN101750022 A CN 101750022A
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layer thickness
sintering
capture device
light
detecting method
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CN 200810229765
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CN101750022B (en
Inventor
杨春雨
杨东晓
宋宝宇
李向荣
李志宾
杨宏伟
段立祥
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Angang Steel Co Ltd
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Angang Steel Co Ltd
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Abstract

The present invention discloses a sintering layer thickness on-line detecting method. Two point light sources are arranged at the upper side of a trolley of a sintering machine to enable a flat surface formed by the light rays of the two point light sources vertical to the wall and the bottom of the trolley. In the vertical flat surface, two light rays are gathered on one point of the bottom of the trolley; one of the two light rays is vertical to the bottom of the trolley, and the other one forms an acute angle a wit the bottom of the trolley. Image collecting equipment is arranged above the trolley to enable an image collecting range bigger than the lighting range of the two point light source on a charge level. Light point distance Lp of the two point light sources projected on the charge level by the image collecting equipment is collected in a computer, images are processed, and the material layer thickness is calculated by a formula H = tga*Li*g. The present invention solves the problems of equipment loss, large maintaining volume and the like caused by touching measurement, can be suitable to the bed environment of sintering production, and has the advantages of low equipment cost, small volume, easy arrangement, reliable work, convenient use and the like.

Description

Sintering layer thickness on-line detecting method
Technical field
The present invention relates to a kind of computer picture that utilizes and detect and the online test method of handling, especially to sintering machine pre-coated layer thickness on-line detecting method.
Background technology
Thickness of feed layer is a key operation parameter in the SINTERING PRODUCTION, also is the important indicator of examination sintering machine intermediary operation, and thickness of feed layer and stability thereof directly influence output, the quality of sintering deposit.Realize the online detection of chassis thickness of feed layer, can understand the bed of material early and change, provide reference for regulating layer thickness, sintering machine machine speed, bellows air door, ignition operation and sintering end point control etc.
Measuring method to batch layer thickness of sintering machine mainly contains kickboard formula, Weight type, ultrasonic type etc. at present.Because SINTERING PRODUCTION scene temperature height, high humidity, dust are many, environment is abominable, especially existing various detection methods all need with its probe, sensor be installed in sintering machine directly over, and close together so then causes sensor to be subject to mechanical collision and high temperature and damages.
The utility model of batch layer thickness of sintering machine pick-up unit (number of patent application 03234293.4): comprise gage beam, runner and signal measurement apparatus composition, contact with charge level by gage beam and drive the runner rotation, rotate radian according to runner and calculate the charge level height.This method and is vulnerable to mechanical collision and damages because the wearing and tearing and the corrosion meeting of gage beam impacts measurement result; The utility model of integrative ultrasonic ripple level-sensing device (number of patent application 200420060206.5): be to utilize ultrasound wave on charge level, can reflect, can calculate the charge level height by the mistiming of emission and the signal that reclaims.But this method is higher to environment and measured object structural requirement, can not adapt to the rugged surroundings at sintering scene preferably, and equipment is fragile; The utility model of weight dropper charge level indicator (number of patent application 200520093892.0): brake when arriving charge level by weight, pulling force diminishes, and produces signal, determines the charge level height according to the weight falling head.This method is because the wearing and tearing of weight and corrosion also can impact measurement result, and the same a kind of invention equally has more mechanical part, damages than being easier to, and maintenance is bigger.
Summary of the invention
The object of the present invention is to provide and a kind ofly can adapt to SINTERING PRODUCTION rugged surroundings, fragile, not contactless sintering layer thickness on-line detecting method.
The object of the present invention is achieved like this, a kind of sintering layer thickness on-line detecting method, two pointolites are set above sintering pallet, make car wall and the bottom of the light formed plane while of two pointolites perpendicular to chassis, in this vertical plane, article two, light converges on the pallet bottom a bit, and wherein a light is vertical with pallet bottom, and another light and pallet bottom acutangulate α; An image capture device is set above chassis, and the scope that makes image acquisition is throwed two pointolites the distance L of luminous point greater than the range of exposures of two pointolites on charge level on charge level by image capture device pCollect in the computing machine, and image is handled, utilize formula H=tg α * L at last i* g calculates thickness of feed layer,
In the formula, H is tested thickness of feed layer;
α is the angle of light and pallet bottom;
L iCollect the distance of the projection luminous point in the computing machine for image capture device;
G is the equipment coefficient, g=L p/ L i
Wherein: L pDistance for actual measurement projection luminous point.
A kind of sintering layer thickness on-line detecting method of the present invention, a pointolite can be arranged on chassis one sidecar wall directly over, and perpendicular to pallet bottom, another pointolite and image capture device are arranged on the top, the outside of another car wall of chassis.In order to make the detection better effects if, also can be in same plane with the axis of image capture device and two formed planes of pointolite axis.
The air line distance that the present invention utilizes two pointolites to form two reflection light points on the charge level surface changes with thickness of feed layer, and the axis of two pointolites and the thick-and-thin rule of the angle between charge level, by image capture device two reflection light points that form on the charge level are collected and to carry out Flame Image Process in the computing machine, detect the air line distance of two reflection light points, utilize the trigonometric function formula to calculate actual thickness of feed layer at last.
This method is compared with prior art, has following beneficial effect:
1, non-contact measurement is avoided the equipment consume; 2, do not have mechanical composition, reduce maintenance cost; 3, adapt to site environment, reliable operation, not fragile; 4, equipment cost is low, and volume is little, is easy to install; 5, principle is easy, is easy to realize.
Description of drawings
Fig. 1 is the sintering pallet sectional schematic diagram;
The video camera shooting picture of Fig. 2 for seeing in the display.
Embodiment
As shown in Figure 1, 2, a kind of sintering layer thickness on-line detecting method of the present invention, two pointolite 3-1,3-2 are set above sintering pallet, make car wall 5-1,5-2 and the bottom 1 of the light formed plane while of two pointolites perpendicular to chassis, in this vertical plane, article two, light converges on the pallet bottom a bit, and wherein a light is vertical with pallet bottom, and another light and pallet bottom acutangulate α; An image capture device 4 is set above chassis, and the scope that makes image acquisition is throwed two pointolites the distance L of luminous point greater than the range of exposures of two pointolites on charge level on charge level 2 by image capture device pCollect in the computing machine, and image is handled, utilize formula H=tg α * L at last i* g calculates thickness of feed layer,
In the formula, H is tested thickness of feed layer;
α is the angle of light and pallet bottom;
L iCollect the distance of the projection luminous point in the computing machine for image capture device;
G is the equipment coefficient, g=L p/ L i
Wherein: L pDistance for actual measurement projection luminous point.
As shown in Figure 1, pointolite 3-1 is directly over chassis wall 5-1, and perpendicular to pallet bottom 1, pointolite 3-2 and image capture device 4 are above the outside of chassis wall 5-2,1 one-tenth α angle of pointolite 3-2 and pallet bottom, the light source point of pointolite 3-1,3-2 emission converges in the C point on the intersection of sky pallet bottom 1 and chassis wall 5-1, and pointolite 3-1,3-2 plane of living in is vertical with the chassis traffic direction.
As shown in Figure 1, during the chassis cloth, pointolite 3-1,3-2 form projection luminous point A, B on cloth charge level 2,2 line is perpendicular to chassis wall 5-1,5-2, image capture device 4 is installed in the position that can collect projection luminous point A, B simultaneously, the position and the angle of point of fixity light source 3-1,3-2 and image capture device 4.Utilize the projection luminous point A, the B that form on 4 pairs of chassis clothes of image capture device charge level to carry out image acquisition, show on computers then, the synoptic diagram of the demonstration of image on graphoscope that Fig. 2 collects for image capture device 4, point D, E are corresponding with projection luminous point A, B among Fig. 1 respectively, L iFor the distance between D, the E (point-to-point transmission pixel value on the image), utilize H=tg α * L i* g calculates the actual (real) thickness H of the bed of material.
The demarcation of equipment coefficient g: chassis is not during cloth, pointolite 3-1,3-2 converge at the C point on the intersection of pallet bottom 1 and chassis wall 5-1, when chassis was furnished with the certain thickness material, pointolite 3-1,3-2 formed projection luminous point A, B on the cloth charge level, and the distance of actual measurement projection luminous point is L p, the distance with projection luminous point A, some D, E that B is corresponding that shows on the computing machine is L i, then equipment coefficient g is g=L p/ L i
H=tg α * L iThe derivation of * g: can obtain the actual (real) thickness H of the bed of material and the actual range L that two pointolites are transmitted into the formed projection luminous point in charge level surface from Fig. 1 pBetween the pass be H=tg α * L p, and g=L p/ L i, so H=tg α * L i* g.
Image capture device 4 can be a kind of of digital camera, digital camera or analog video camera etc., and pointolite 3-1,3-2 focus on halogen lamp, focus on xenon lamp, assemble one or both of incandescent lamp, red laser spots light source or green laser spots light source etc.When the axis (being light) of the axis (being light) of image capture device 4 and pointolite 3-1,3-2 during on same plane, detecting effect can be better.

Claims (5)

1. sintering layer thickness on-line detecting method, it is characterized in that: two pointolites are set above sintering pallet, make car wall and the bottom of the light formed plane while of two pointolites perpendicular to chassis, in this vertical plane, article two, light converges on the pallet bottom a bit, wherein a light is vertical with pallet bottom, and another light and pallet bottom acutangulate α; An image capture device is set above chassis, and the scope that makes image acquisition is throwed two pointolites the distance L of luminous point greater than the range of exposures of two pointolites on charge level on charge level by image capture device pCollect in the computing machine, and image is handled, utilize formula H=tg α * L at last i* g calculates thickness of feed layer,
In the formula, H is tested thickness of feed layer;
α is the angle of light and pallet bottom;
L iCollect the distance of the projection luminous point in the computing machine for image capture device;
G is the equipment coefficient, g=L p/ L i
Wherein: L pDistance for actual measurement projection luminous point.
2. a kind of sintering layer thickness on-line detecting method according to claim 1, it is characterized in that: a pointolite (3-1) be arranged on chassis one sidecar wall (5-1) directly over, and perpendicular to pallet bottom (1), another pointolite (3-2) and image capture device (4) are arranged on the top, the outside of another car wall (5-2) of chassis.
3. a kind of sintering layer thickness on-line detecting method according to claim 1 is characterized in that: the axis of image capture device (4) and two formed planes of pointolite axis are in same plane.
4. a kind of sintering layer thickness on-line detecting method according to claim 1 is characterized in that: image capture device (4) is gathered in real time and is incident upon formed image on the charge level by pointolite.
5. a kind of sintering layer thickness on-line detecting method according to claim 1 is characterized in that: computing machine carries out denoising, binaryzation and the value of light spot position pixel count to the image of being gathered to be handled.
CN 200810229765 2008-12-12 2008-12-12 Sintering layer thickness on-line detecting method Active CN101750022B (en)

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Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102721372A (en) * 2012-05-04 2012-10-10 西安理工大学 Bi-linear CCD-based strip width measurement method and system
CN103364315A (en) * 2012-03-30 2013-10-23 鞍钢股份有限公司 On-line detection method and device for granularity of sintered solid fuels
CN105526993A (en) * 2016-01-29 2016-04-27 上海云鱼智能科技有限公司 Machine vision material level meter and method adopting same for material level measurement
CN106289093A (en) * 2016-11-15 2017-01-04 攀钢集团攀枝花钢铁研究院有限公司 Metallurgical equipment lining cutting depth of erosion device for fast detecting and method
CN106352831A (en) * 2016-11-15 2017-01-25 攀钢集团攀枝花钢铁研究院有限公司 Device and method for detecting erosion depth of lining of metallurgical equipment
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
CN109154494A (en) * 2016-03-16 2019-01-04 海克斯康测量技术有限公司 Probe and Probe clip with Anti-bumping protection
CN109855548A (en) * 2019-01-30 2019-06-07 中南大学 Analyze the method and system of the red flame layer thickness of sintering cup test
CN110567345A (en) * 2019-09-04 2019-12-13 北京信息科技大学 Non-contact type pipe wall thickness measuring method and system based on machine vision
CN113739709A (en) * 2021-09-08 2021-12-03 中冶长天国际工程有限责任公司 Online detection method and online detection system for thickness of sintering material layer

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CN2620846Y (en) * 2003-05-08 2004-06-16 攀枝花新钢钒股份有限公司炼铁厂 Device for detecting thickness of sintering machine material layer
CN101270981A (en) * 2007-03-23 2008-09-24 高幼年 Material position measuring method and device based on machine vision
CN201575795U (en) * 2009-12-10 2010-09-08 攀枝花新钢钒股份有限公司 Material bed thickness detecting equipment

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103364315A (en) * 2012-03-30 2013-10-23 鞍钢股份有限公司 On-line detection method and device for granularity of sintered solid fuels
CN103364315B (en) * 2012-03-30 2016-04-06 鞍钢股份有限公司 A kind of sintering solid fuel granularity online test method and pick-up unit
CN102721372A (en) * 2012-05-04 2012-10-10 西安理工大学 Bi-linear CCD-based strip width measurement method and system
CN102721372B (en) * 2012-05-04 2015-06-03 西安理工大学 Bi-linear CCD-based strip width measurement method and system
CN105526993B (en) * 2016-01-29 2019-01-04 上海云鱼智能科技有限公司 Machine vision level-sensing device and its method for measuring material position
CN105526993A (en) * 2016-01-29 2016-04-27 上海云鱼智能科技有限公司 Machine vision material level meter and method adopting same for material level measurement
CN109154494A (en) * 2016-03-16 2019-01-04 海克斯康测量技术有限公司 Probe and Probe clip with Anti-bumping protection
CN106289093A (en) * 2016-11-15 2017-01-04 攀钢集团攀枝花钢铁研究院有限公司 Metallurgical equipment lining cutting depth of erosion device for fast detecting and method
CN106352831A (en) * 2016-11-15 2017-01-25 攀钢集团攀枝花钢铁研究院有限公司 Device and method for detecting erosion depth of lining of metallurgical equipment
CN106352831B (en) * 2016-11-15 2019-06-04 攀钢集团攀枝花钢铁研究院有限公司 The device and method of metallurgical equipment lining cutting depth of erosion detection
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
CN109855548A (en) * 2019-01-30 2019-06-07 中南大学 Analyze the method and system of the red flame layer thickness of sintering cup test
CN110567345A (en) * 2019-09-04 2019-12-13 北京信息科技大学 Non-contact type pipe wall thickness measuring method and system based on machine vision
CN113739709A (en) * 2021-09-08 2021-12-03 中冶长天国际工程有限责任公司 Online detection method and online detection system for thickness of sintering material layer

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