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CN101270981A - Material position measuring method and device based on machine vision - Google Patents

Material position measuring method and device based on machine vision
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Publication number
CN101270981A
CN101270981ACNA2007100384938ACN200710038493ACN101270981ACN 101270981 ACN101270981 ACN 101270981ACN A2007100384938 ACNA2007100384938 ACN A2007100384938ACN 200710038493 ACN200710038493 ACN 200710038493ACN 101270981 ACN101270981 ACN 101270981A
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light
circle
level
image
diameter
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CNA2007100384938A
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Chinese (zh)
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高幼年
沈文忠
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Abstract

The invention relates to a high reliability method and device for continuously measuring material level of the little grainy material based on machine vision, which belongs to the technology field of material level measurement. The device comprises a special point light source, an image harvester, and a machine vision module, etc. High brightness optical circle image on the material surface formed by light beam emitted from point light source is harvested by the image harvester, and analyzed and treated by verification type optical circular detection algorithm of the machine vision module, to calculate the diameter or area size of the optical circle to obtain material level value. The material level value is converted to 4-20mA signal by D/A to be output, while the value is encoded with compressed field JPEG image to form serial signal for output. In addition, the original image signal harvested by the image harvester also can be output.

Description

A kind of material level measuring method and device based on machine vision
Technical field
The present invention relates to a kind of high confidence level method and device thereof of the contactless continuous coverage little grainy material material level based on machine vision, belong to the technical field of level gauging.
Background technology
The material that generally needs to measure material level all leaves in the container, and this container is tens meters high cylindrical body, cone or half half cone shape mixture often.Along with material is sent into container continuously, material is more and more nearer apart from the distance of container top, feeds in raw material as untimely stopping, and just might overflow.Measurement to material level at present has several different methods, as the radio frequency admittance level meter, uses the radio frequency capacitance technology, a radio frequency is applied on the probe, by the variation of continuous analysis electric capacity, definite influence that is caused by surrounding environment is a kind of contact level meter; Ultrasonic material level meter is used the mistiming of measuring the ultrasonic pulse transmission and receiving and is calculated object distance; Radar levelmeter is used light velocity electromagnetic wave propagation, according to Time Domain Reflectometry principle or Continuous Wave with frequency modulation principle, and the distance between measurement and the tested interface.Although principle, precision and application scenario that they are measured are not quite similar, but they have a public not enough point, the on-the-spot outdoor scene that when showing material level, can not show material exactly, therefore in case when being subjected to certain influence and causing material level information inaccurate, will mislead operating personnel, accidents such as material overflows take place, some accident even can cause serious consequence.The coal bunker of fuel-burning power plant for example, as Fig. 1, it is the container of upper semi-body tubular lower semi-body taper, speed with nearly ten tons of per minutes adds the storehouse, each position in storehouse can hold nearly hundred tons of coals, in case level-sensing device breaks down, operating personnel find one minute every night, just meaning has nearly ten tons of coals to overflow, and tends to cause major accident.
Chinese patent application number 01107328.4, open day 2002.11.6, a kind of digital video frequency level indicator is disclosed, by video input unit, image pick-up card, microprocessor and display screen etc. interconnect and form, video input unit is aimed at tested material, video input unit is connected to the video inputs of image pick-up card again, microprocessor control image pick-up card is gathered the material level image by the sampling period that the user sets, and this image handled, the material level coordinate figure that analyzes and the calibration gauge of demarcation are relatively calculated the material level actual value, simultaneously with the material level image, the variation tendency of material level actual value and this value is presented on the display screen.Its main means of measuring material level are to utilize the reading on the calibration gauge of material level coordinate points demarcation of living in to obtain the material level actual value, and the present invention utilizes the light circular diameter or the area size that constantly change with the height of level of filler material to carry out level gauging.
Summary of the invention
The objective of the invention is to propose a kind of method of the contactless continuous coverage little grainy material material level based on machine vision and the device that can show the on-the-spot real scene image of material level simultaneously truly.
Technical scheme of the present invention is: adopt a kind of special pointolite, be installed in the top of feed bin, as shown in Figure 2, the light beam that pointolite penetrates is incident upon the material surface, is the taper of isosceles as can be seen from the vertical section of feed bin.And can see that on the level cross-sectionn of differing heights they are light circles of different-diameter.If vertical height is L between A-A xsect and the pointolite1, xsect glazing radius of a circle is R1, area is S1, the vertical height between B-B xsect and the pointolite is L2, xsect glazing radius of a circle is R2, area is S2, vertical height is L between C-C xsect and the pointolite3, xsect glazing radius of a circle is R3, area is S3, the pass between vertical height L and the light radius of a circle R isL1R1=L2R2=L3R3,Pass between the vertical height L and the light area of a circle isL1S1π=L2S2π=L3S3π,PromptlyL1L2=S1πS2π=S1S2,L1L3=S1S3,Suppose L1=1, S1Be given value A, soL3=S3A,That is to say, as long as know the area S of C-C xsect glazing circle3, just can obtain the vertical range L between C-C xsect and the pointolite3
Add in the process in storehouse at feed bin, material is upwards piled up by the bottom at leisure, and pointolite forms the light circle of different area on the material surface, and as Fig. 3, along with the accumulation of material, the area of light circle diminishes gradually, as Fig. 4.Therefore record the area of the light circle that forms on the material surface, just can obtain the vertical height between material surface and the pointolite and then obtain level of filler material.
The image acquisition machine is integrated in the pointolite, the image that the light circle that this image acquisition machine collection is formed on the material surface by material and pointolite is formed, because significantly border is arranged between light circle and the material medium, by checking type light circle detection algorithm, be that adaptive threshold is cut apart and this image of region growing algorithm process, detect the area of bright dipping circle; Adopt rim detection and hough transform algorithm to detect light round edge circle simultaneously and obtain the light circular diameter, further verify the confidence level that the light area of a circle or diameter detect, if twice result unanimity, then the explanation detection is accurately credible, otherwise will be filtered; And, also can utilize the confidence level of the roll-off characteristic checking testing result of the light area of a circle or level of filler material because the material in the storehouse is slowly upwards to pile up.
Apparatus for measuring charge level based on machine vision is a kind of embedded system, and block diagram as shown in Figure 5.
In this device, after the image acquisition machine obtains to comprise the Digital Image Processing unit of picture signal in machine vision module of light circle, the analyzing and processing of leading up to is obtained light diameter of a circle or area value, this value obtains the digital quantity of material level through the material level computing unit, and the material level digital quantity converts the output of 4-20mA signal to through D/A.The second road signal of exporting from the Digital Image Processing unit is through the video d/a modular converter, be reduced into video signal output, Third Road passes through the signal encoding unit through the check code of JPEG compression unit compression back and on-the-spot material level digital quantity and generation, form the serial composite signal, with the composite signal of two wires form output material level amount and on-the-spot outdoor scene jpeg image.For example the serial signal transfer rate is 57600b/s, can transmit resolution in 1 second and is about 160 * 120 jpeg image and material level amount signal by calculating.
Description of drawings
Fig. 1 is the coal bunker synoptic diagram of fuel-burning power plant;
Fig. 2 is the principle schematic according to light circular diameter or area acquisition level of filler material;
Fig. 3, Fig. 4 are the coal bunker side views that the light circle changes with the level of filler material height;
Fig. 5 is the apparatus for measuring charge level system construction drawing.

Claims (2)

2. according to 1 described device, in order to improve accuracy and the confidence level that material level detects, proposed checking type light circle detection algorithm, its characteristic is: utilize two or more independently light circle detection algorithms.Detect the light area of a circle and then obtain diameter as cutting apart by adaptive threshold with the region growing algorithm, adopt rim detection and hough transform algorithm to detect light round edge circle simultaneously and obtain the light circular diameter, whether the diameter that two kinds of detection algorithms are obtained compares consistent, and final roll-off characteristic in conjunction with the utilization light area of a circle or level of filler material is verified accuracy and the confidence level that material level detects jointly.
CNA2007100384938A2007-03-232007-03-23Material position measuring method and device based on machine visionPendingCN101270981A (en)

Priority Applications (1)

Application NumberPriority DateFiling DateTitle
CNA2007100384938ACN101270981A (en)2007-03-232007-03-23Material position measuring method and device based on machine vision

Applications Claiming Priority (1)

Application NumberPriority DateFiling DateTitle
CNA2007100384938ACN101270981A (en)2007-03-232007-03-23Material position measuring method and device based on machine vision

Publications (1)

Publication NumberPublication Date
CN101270981Atrue CN101270981A (en)2008-09-24

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Cited By (14)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN102023045A (en)*2010-10-182011-04-20中国矿业大学(北京)Non-contact photoelectric measurement method and device for bunker coal position
CN102116661A (en)*2010-10-192011-07-06中国矿业大学(北京)Method for detecting dynamic stock level in stock bin limit position based on machine vision
CN101943595B (en)*2009-11-182012-03-28中国矿业大学(北京) A method and system for measuring coal bunker level based on stereo vision
CN102607667A (en)*2012-03-052012-07-25太原理工大学 Detection method of coal bunker coal level based on virtual instrument smart camera
CN101750022B (en)*2008-12-122013-03-13鞍钢股份有限公司Sintering paving material thickness online detection method
CN102968133A (en)*2012-11-142013-03-13中联重科股份有限公司Control method, equipment and system for material supplementing
CN104261015A (en)*2014-09-192015-01-07中冶长天国际工程有限责任公司Stock bin for storing granulated materials and desorption tower device with stock bin
CN105389795A (en)*2015-10-132016-03-09中联重科股份有限公司Garbage material level detection method and device and feeding plate machine
CN105526993A (en)*2016-01-292016-04-27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
CN109238416A (en)*2018-09-292019-01-18格林美股份有限公司A kind of vertical measuring balance
CN109458941A (en)*2018-12-292019-03-12天津市三特电子有限公司The automatic load measurement system of mine car and monitoring method
CN110196010A (en)*2019-05-152019-09-03湖南中联重科混凝土机械站类设备有限公司Material height measuring device and method
CN114683545A (en)*2022-04-012022-07-01深圳市智能派科技有限公司Photocuring 3D printer and printing method thereof
CN117282527A (en)*2023-11-152023-12-26北京碎得环保科技有限公司Material feeding amount control method, device and system

Cited By (23)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN101750022B (en)*2008-12-122013-03-13鞍钢股份有限公司Sintering paving material thickness online detection method
CN101943595B (en)*2009-11-182012-03-28中国矿业大学(北京) A method and system for measuring coal bunker level based on stereo vision
CN102023045A (en)*2010-10-182011-04-20中国矿业大学(北京)Non-contact photoelectric measurement method and device for bunker coal position
CN102023045B (en)*2010-10-182011-12-14中国矿业大学(北京)Non-contact photoelectric measurement method for bunker coal position
CN102116661A (en)*2010-10-192011-07-06中国矿业大学(北京)Method for detecting dynamic stock level in stock bin limit position based on machine vision
CN102116661B (en)*2010-10-192012-07-25中国矿业大学(北京)Method for detecting dynamic stock level in stock bin limit position based on machine vision
CN102607667A (en)*2012-03-052012-07-25太原理工大学 Detection method of coal bunker coal level based on virtual instrument smart camera
CN102968133A (en)*2012-11-142013-03-13中联重科股份有限公司Control method, equipment and system for material supplementing
CN102968133B (en)*2012-11-142015-06-10中联重科股份有限公司Control method, equipment and system for material supplementing
CN104261015A (en)*2014-09-192015-01-07中冶长天国际工程有限责任公司Stock bin for storing granulated materials and desorption tower device with stock bin
CN105389795A (en)*2015-10-132016-03-09中联重科股份有限公司Garbage material level detection method and device and feeding plate machine
CN105389795B (en)*2015-10-132018-09-28长沙中联重科环境产业有限公司A kind of rubbish material level detection method, device and feeding trigger
CN105526993A (en)*2016-01-292016-04-27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
CN105526993B (en)*2016-01-292019-01-04上海云鱼智能科技有限公司Machine vision level-sensing device and its method for measuring material position
CN109238416A (en)*2018-09-292019-01-18格林美股份有限公司A kind of vertical measuring balance
CN109238416B (en)*2018-09-292020-11-17格林美股份有限公司Vertical decrement balance
CN109458941A (en)*2018-12-292019-03-12天津市三特电子有限公司The automatic load measurement system of mine car and monitoring method
CN109458941B (en)*2018-12-292023-03-07天津市三特电子有限公司Automatic loading monitoring system and monitoring method for mine car
CN110196010A (en)*2019-05-152019-09-03湖南中联重科混凝土机械站类设备有限公司Material height measuring device and method
CN110196010B (en)*2019-05-152021-03-16湖南中联重科混凝土机械站类设备有限公司Material height measuring device and method
CN114683545A (en)*2022-04-012022-07-01深圳市智能派科技有限公司Photocuring 3D printer and printing method thereof
CN117282527A (en)*2023-11-152023-12-26北京碎得环保科技有限公司Material feeding amount control method, device and system
CN117282527B (en)*2023-11-152024-03-29北京碎得环保科技有限公司Material feeding amount control method, device and system

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Open date:20080924


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