CN105699258A - Online detection device and method of fine aggregates - Google Patents

Online detection device and method of fine aggregates Download PDF

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CN105699258A
CN105699258A CN201610059116.1A CN201610059116A CN105699258A CN 105699258 A CN105699258 A CN 105699258A CN 201610059116 A CN201610059116 A CN 201610059116A CN 105699258 A CN105699258 A CN 105699258A
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fine aggregate
module
image
image acquisition
measuring device
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CN105699258B (en
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杨建红
李丽娜
张认成
罗曼
陈思嘉
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Huaqiao University
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Huaqiao University
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/02Investigating particle size or size distribution
    • G01N15/0205Investigating particle size or size distribution by optical means
    • G01N15/0227Investigating particle size or size distribution by optical means using imaging; using holography
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/85Investigating moving fluids or granular solids

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  • Investigating Or Analysing Materials By Optical Means (AREA)
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Abstract

The invention belongs to an online detection device and method of fine aggregates. The device comprises a sampling module, a sample feeding module, a dispersion module, an image acquisition and analysis module and a recycling module, wherein the sampling module is arranged on a fine aggregate conveyor belt and is used for sampling at pre-set frequency and conveying a sample to the sample feeding module; the sample is treated by the dispersion module and then enters an image acquisition region of the image acquisition and analysis module; the image acquisition and analysis module is used for carrying out characteristic extraction on an acquired image to obtain parameters of the fine aggregates; and the recycling module is used for recycling the detected fine aggregates. According to the online detection device and method of the fine aggregates, a two-grade dispersion manner combining inclined vibration quantity-limited feeding with adjustable vibration frequency and uniform dispersion of multilayered baffle buffering is adopted, so that the fine aggregates have relatively good dispersibility when the fine aggregates fall into a measurement region, and furthermore, the image analysis difficulty is reduced; only a classic image processing and analysis algorithm is adopted; and the image processing and analysis algorithm is simple and reliable, and hardware of the device is easy to realize.

Description

A kind of fine aggregate on-line measuring device and method
Technical field
The invention belongs to aggregate quality detection technique field, be specifically related to a kind of fine aggregate on-line measuring device and method。
Background technology
The important materials of facility based on concrete and urban construction, carries weighty responsibility in the novel Urbanization Construction of China。Fine aggregate is concrete key component, accounts for the 30%~40% of volume of concrete total amount。It is off quality that the in-problem reason of current concrete performance is largely due to fine aggregate, as poor in aggregate particle shape, grating is poor, porosity is big, flat-elongated particles is many, content of stone powder is high。Fine aggregate is off quality can affect the reinforcement of concrete water yield, gel material content, durability etc.。Ensure concrete performance, not only need to improve concrete production equipment, in addition it is also necessary to improve concrete Quality Control level。
Two important quality that particle diameter and particle shape are fine aggregates control parameter。The size of particle diameter and distribution can affect the grain composition of aggregate。Specifying according to national standard " construction sand ", the aggregate less than 4.75mm is called fine aggregate。Traditional fine aggregate grating detection method is the screening detection of artificial off-line, the method is time-consuming, power consumption, size and the distribution situation of fine aggregate can not be reflected in time, and particle shape cannot be detected, when comprising lamellar, faller gill shape aggregate, droplet measurement precision can be affected on the one hand, concrete mix Strength Mass can be affected on the other hand。
Chinese invention patent CN104853168A discloses a kind of sandstone aggregate quality intelligent monitoring system, fine aggregate modulus of fineness detection module in this system still have employed sieve method, by sampling, drying, sieved through sieve, screen out different-grain diameter aggregate, then measure weight, calculate the modulus of fineness of sandstone。This fine aggregate droplet measurement method still falls within screening detection mode, and cannot detect particle shape。
Chinese invention patent CN104063866A discloses the particle size detection method in a kind of Ore transmission process, and the method uses the Ore Image on the image processing techniques conveyer belt to collecting to be analyzed, it is thus achieved that the particle size distribution information of Ore。What the method obtained is that accumulation, overlapping Ore Image information, image procossing and the method for analysis are complicated。
Summary of the invention
Present invention is primarily targeted at and overcome the deficiencies in the prior art, there is provided a kind of simple, quickly, the fine aggregate particle diameter that can be used on fine aggregate production line or pipeline and particle shape online test method and device, by on-line period, vibration sample introduction, baffling dispersion, obtain the high speed image data under fine aggregate dispersion falling state, obtain particle diameter and the particle shape information of fine aggregate through digital image analysis。This detection method is succinct, the hardware of device realizes easily, accuracy of detection is high。
Further object is that the two-stage process for dispersing that a kind of fine aggregate sample is provided, adopt and the device of this process for dispersing contains sample introduction module and dispersed modules。First, make fine aggregate sample enter sample introduction module and realize first order dispersion, its method is, on the one hand, height between loading hopper and vibrating bunker is set according to fine aggregate particle size range, reaches to control the purpose of inlet amount, on the other hand, the frequency that vibrating bunker tiltedly vibrates is set by vibrating regulator, reaches to control the purpose of charging rate。Disperseed by the first order, inlet amount less in the unit interval can be kept, it is thus possible to make fine aggregate sample to be measured have good dispersibility。Then, fine aggregate sample after the first order is disperseed enters back into dispersed modules and realizes second level dispersion, its method is, dispersion pipe in dispersed modules designs the deflection plate of some oblique designs, fine aggregate from vibrating bunker fall into this dispersion pipe time, through the cushioning effect of multilamellar deflection plate, reach to make the homodisperse purpose of fine aggregate sample。Fine aggregate sample after two-stage is disperseed has good dispersibility, is prone to collect scattered fine aggregate image by high speed camera, reduces the difficulty of image procossing and analysis。
Technical scheme is as follows:
A kind of fine aggregate on-line measuring device, including sampling module, sample introduction module, dispersed modules, image acquisition analysis module, recycling module;Sampling module is arranged on fine aggregate conveyer belt, it is sampled with default frequency, and delivers to sample introduction module, be dispersed through module and arrive the image acquisition areas of image acquisition analysis module, the image gathered is carried out feature extraction by image acquisition analysis module, it is thus achieved that the parameter of fine aggregate;The fine aggregate detected is reclaimed by recycling module。
As preferably, sampling module is swing Sampling Machine, is arranged on above fine aggregate conveyer belt, with default warble, fine aggregate is swept sample introduction module。
As preferably, swing Sampling Machine includes swing arm, sweeps plate, and the upper end of swing arm rotates the fixed position being arranged on above fine aggregate conveyer belt, sweeps plate and is located at the lower end of swing arm, and sweeping plate swings towards the direction of sample introduction module。
As preferably, the both sides sweeping plate are provided with limiting plate, and two limiting plates are oppositely arranged, and the cell body sweeping plate and being formed an opening, and opening direction is towards sample introduction module。
As preferably, the lower end of swing arm is upper along being connected with limiting plate, when swing arm is static, sweeps plate and is positioned at outside fine aggregate conveyer belt。
As preferably, sample introduction module includes loading hopper, vibrating bunker, and loading hopper is arranged on above vibrating bunker, and the opening of vibrating bunker is towards dispersed modules。
As preferably, loading hopper arranges the distance of loading hopper and vibrating bunker by height adjustment mechanism;Vibrating bunker arranges frequency of vibration by vibrating regulator。
As preferably, dispersed modules includes dispersion pipe, deflection plate, and some deflection plates are angularly disposed along short transverse in dispersion pipe, upper deflection plate with under deflection plate oblique in opposite direction。
As preferably, image acquisition analysis module includes shading case, backlight, image acquisition areas, imaging device, main frame, backlight, image acquisition areas, imaging device are located in shading case, backlight and imaging device are positioned at the both sides of image acquisition areas, and fine aggregate is between backlight and imaging device。
As preferably, recycling module includes vacuum cleaner, communicating pipe, communicating pipe Contiguous graphics acquisition zone and vacuum cleaner。
As preferably, the single image gathered first is carried out pretreatment by image acquisition analysis module, re-use feature extraction, obtain the connected region of each fine aggregate in single image, extract the most minor axis of connected region, and the ratio of the longest and most minor axis, obtain particle diameter and the particle shape of each fine aggregate, the characteristic parameter of the fine aggregate in statistics single image。
As preferably, adopt geometric calibration method that the size of fine aggregate is demarcated, particularly as follows: arrange the object of reference of known dimensions in image acquisition areas, extract the number of pixels that each fine aggregate accounts for the image of collection with object of reference, fine aggregate and the pixel ratio of object of reference, obtain the size of fine aggregate。
As preferably, n being opened image and carries out m statistics, form a measurement period;Add up the percentage composition of the fine aggregate that each modulus of fineness is interval in each measurement period。
A kind of fine aggregate online test method, it is characterised in that step is as follows:
A) adopting sampling module, take out a number of fine aggregate sample from fine aggregate conveyer belt, under gravity, to fall, mode enters dispersed modules;
B) after fine aggregate sample is dispersed through module dispersion, in the mode that falls by image acquisition analysis module;Obtain the fine aggregate sample digital picture of falling motion state, and fine aggregate sample digital picture is sent to main frame;
C) the fine aggregate sample digital picture obtained is processed, initially with mean filter method smoothed image, next utilizes the maximum variance between clusters in Threshold segmentation that image is carried out binary conversion treatment, then use the repeatedly corrosion in Morphological scale-space and expansion that adhesion fine aggregate is easily separated, finally multiple target areas are carried out connected component labeling, extract the feature of each connected region;
D) the fine aggregate sample digital picture obtained is analyzed, according to step C) feature of each connected region that obtains, draw the most minor axis of connected region, and the ratio of the longest and most minor axis, obtain particle diameter and the particle shape of each fine aggregate, the characteristic parameter of the fine aggregate in statistics single image。
As preferably, image acquisition analysis module being demarcated, by shooting the calibrating template with constant spacing pattern array, the calculating through calibration algorithm, draw geometric model, thus being measured and reconstructed results。
As preferably, using step C) in the minimum Feret footpath of connected region that obtains after image procossing as the size information of fine aggregate, using step C) in the longest Feret footpath of connected region that obtains after image procossing and the ratio in the shortest Feret footpath particle shape parameter as fine aggregate。
As preferably, it is thus achieved that particle diameter and particle shape information be shown in man machine interface。
Beneficial effects of the present invention is as follows:
(1) present invention employs machine vision in conjunction with Digital image analysis technique, the quick online detection of fine aggregate particle diameter quality can be realized, the fine aggregate grating situation of fine aggregate production line can be reflected in time, it is to avoid the fine aggregate particle diameter economic loss caused off quality。
(2) in the detection method of the present invention, adding the detection to fine aggregate particle shape, the quickly detection of fine aggregate particle shape is extremely important。Fine aggregate particle shape can reflect disintegrating machine runnability in time, on the one hand, the detection of fine aggregate particle shape can as the theoretical reference adjusting disintegrating machine operational factor in time, and on the other hand, the detection of fine aggregate particle shape also can provide theoretical reference for the Optimizing manufacture of crusher;It addition, fine aggregate particle shape quality also can affect concrete performance, detection fine aggregate particle shape quality in time, for improving concrete workability, Strength Mass etc., there is important function。
(3) assembly of the invention have employed the adjustable oblique vibration limitation charging of frequency of vibration and multilamellar deflection plate cushions the dispersed two-stage dispersing mode combined, fine aggregate can be made when falling into measured zone to have good dispersibility, reduce the difficulty of graphical analysis, only with classical image procossing with that parser, image procossing and parser are simple and reliable, the hardware of device realizes is easy。
Accompanying drawing explanation
Fig. 1 is the structural representation of the present invention;
Fig. 2 is the structural representation of sampling module;
Fig. 3 is the structural representation of sample introduction module;
Fig. 4 is the internal structure schematic diagram of dispersed modules;
Fig. 5 is the structural representation of image acquisition areas;
Fig. 6 is image procossing human-computer interaction interface;
Fig. 7 is statistical result showed interface;
In figure, 10 is fine aggregate conveyer belt, and 20 is sampling module, and 21 is swing arm, 22 is sweep plate, and 23 is limiting plate, and 30 is sample introduction module, and 31 is loading hopper, 32 is vibrating bunker, and 40 is dispersed modules, and 41 is dispersion pipe, and 42 is deflection plate, 50 is image acquisition analysis module, and 51 is shading case, and 52 is backlight, 53 is imaging device, and 54 is image acquisition areas, and 55 is main frame, 60 is recycling module, and 61 is communicating pipe, and 62 is vacuum cleaner。
Detailed description of the invention
Below in conjunction with drawings and Examples, the present invention is described in further detail。
The present invention is in order to realize immediately reflecting the fine aggregate grating of current fine aggregate production line, particle shape, a kind of fine aggregate on-line measuring device is provided, as it is shown in figure 1, include sampling module 20, sample introduction module 30, dispersed modules 40, image acquisition analysis module 50, recycling module 60;Sampling module 20 is arranged on fine aggregate conveyer belt 10, it is sampled with default frequency, and delivers to sample introduction module 30, be dispersed through module 40 and arrive the image acquisition areas 54 of image acquisition analysis module 50, the image gathered is carried out feature extraction by image acquisition analysis module 50, it is thus achieved that the parameter of fine aggregate;The fine aggregate detected is reclaimed by recycling module 60。
The sampling module 20 of the present invention can gather provides representational fine aggregate, gets rid of the segregation phenomenon impact on testing result。The sampling module 20 of the present invention is swing Sampling Machine, it is arranged on above fine aggregate conveyer belt 10, with default warble, fine aggregate is swept sample introduction module 30, the fine aggregate of width all on fine aggregate conveyer belt 10 is pushed sample introduction module 30, it is ensured that sample has adequate representation。
Specifically, as in figure 2 it is shown, swing Sampling Machine includes swing arm 21, sweeps plate 22, the upper end of swing arm 21 rotates the fixed position being arranged on above fine aggregate conveyer belt 10, sweeps plate 22 and is located at the lower end of swing arm 21, and sweeping plate 22 swings towards the direction of sample introduction module 30。In order to make in the process that sweeping plate 22 swings, the fine aggregate swept to will not scatter to the both sides sweeping plate 22, the efficiency of impact sampling, in the present invention, the both sides sweeping plate 22 are provided with limiting plate 23, two limiting plates 23 are oppositely arranged, and form the cell body of an opening with sweeping plate 22, and opening direction is towards sample introduction module 30。The lower end of swing arm 21 is upper along being connected with limiting plate 23, when swing arm 21 is static, sweeps plate 22 and is positioned at outside fine aggregate conveyer belt 10。Fine aggregate on fine aggregate conveyer belt 10 is loaded in cell body by rocker-arm Sampling Machine when rocking arm swings, and fine aggregate pushes sample introduction module 30 when rocking arm swings to fine aggregate conveyer belt 10 edge。
As it is shown on figure 3, sample introduction module 30 includes loading hopper 31, vibrating bunker 32, loading hopper 31 is arranged on above vibrating bunker 32, and the opening of vibrating bunker 32 is towards dispersed modules 40。Loading hopper 31 arranges the distance of loading hopper 31 and vibrating bunker 32 by height adjustment mechanism;Vibrating bunker 32 arranges frequency of vibration by vibrating regulator。Use the vibrating bunker 32 with vibration sample introduction that the fine aggregate of sampling is sent into dispersed modules 40, ensure to produce uniformly smooth sample introduction stream, by regulating the distance between loading hopper 31 and vibrating bunker 32, and the frequency of vibration of vibrating bunker 32 regulates sample introduction thickness and charging rate respectively。
Before testing, adjusting the distance of loading hopper 31 and vibrating bunker 32, distance is set to 0.5 times of the fine aggregate particle diameter upper limit。By arranging the distance controlling pan feeding thickness of loading hopper 31 and vibrating bunker 32, reach the purpose of dispersion fine aggregate。In the present embodiment, vibrating bunker 32 amplitude is 1.5mm, and frequency of vibration is 0~3000r/min, adjusts the frequency of vibration of vibrating bunker 32 so that fine aggregate moves on injector with uniform speed slowly。The fine aggregate collected enters loading hopper 31, vibrating bunker 32 is started working, vibrating bunker 32 starts to transmit fine aggregate with the frequency set, and the fine aggregate in sample funnel 31 constantly falls to entering vibrating bunker 32, and fine aggregate drops with the thickness set and speed and enters dispersed modules 40。
As shown in Figure 4, dispersed modules 40 includes dispersion pipe 41, deflection plate 42, and some deflection plates 42 are angularly disposed along short transverse in dispersion pipe 41, upper deflection plate 42 with under deflection plate 42 oblique in opposite direction。Fine aggregate can be made good dispersion by dispersed modules 40, such that it is able to improve accuracy of identification to fine aggregate particle diameter during image procossing。The deflection plate 42 of dispersion pipe 41 allows fine aggregate accelerated motion under gravity, by the mutual collision between the collision between the tube wall of fine aggregate and dispersion pipe 41, fine aggregate and fine aggregate, and the effect between the deflection plate 42 in fine aggregate and dispersion pipe 41 realizes dispersion, the fine aggregate finally dropping out dispersion pipe 41 falls into the image acquisition areas 54 of image acquisition analysis module 50 with very scattered state。
As shown in Figure 5, image acquisition analysis module 50 includes shading case 51, backlight 52, image acquisition areas 54, imaging device 53, main frame 55, backlight 52, image acquisition areas 54, imaging device 53 are located in shading case 51, backlight 52 and imaging device 53 are positioned at the both sides of image acquisition areas 54, and fine aggregate is between backlight 52 and imaging device 53。In the present embodiment, backlight 52 adopts LED backlight, imaging device 53 to be use the CCD industrial camera of USB3.0 interface, and to main frame 55, the interface transmission data that the fine aggregate image collected uses usb3.0 is carried out image procossing。The shading case 51 that surrounding seals is for keeping out the impact on shooting effect of the nature light。
Recycling module 60 includes vacuum cleaner 62, communicating pipe 61, communicating pipe 61 Contiguous graphics acquisition zone 54 and vacuum cleaner 62, it is possible to effectively minimizing fine powder swims in image acquisition areas 54 affects testing result, it is also possible to reduce the dust infringement to equipment。
The single image gathered first is carried out pretreatment by image acquisition analysis module 50, and the image procossing of the present invention is considered to employ the instantaneity required for backlight 52 and online treatment, and therefore Image semantic classification mainly employs mean filter and big law Threshold segmentation;Re-use feature extraction, obtain the connected region of each fine aggregate in single image, extract the most minor axis of connected region, and the ratio of the longest and most minor axis, obtain particle diameter and the particle shape of each fine aggregate, the characteristic parameter of the fine aggregate in statistics single image, this statistical method can reduce incidental error。
Adopting geometric calibration method that the size of fine aggregate is demarcated, described demarcation, is distort for corrective lens, it is determined that the mathematical method of conversion relation between physical size and pixel, including geometric similarity method, world coordinates method etc.。The calibrating template with constant spacing pattern array, the calculating through calibration algorithm is shot, it can be deduced that the geometric model of camera, thus obtaining high-precision measurement and reconstructed results by camera。
Demarcation can adopt monocular vision geometric similarity method, is calculated the ratio of physical length and actual pixels number by the number of pixels recorded corresponding to mark cut lengths, thus obtaining scale coefficient。The number of pixels that tested geometric sense occupies is more many, and Measurement Resolution is more high, and certainty of measurement is also more high。Particularly as follows: arrange the object of reference of known dimensions in image acquisition areas 54, extract the number of pixels that each fine aggregate accounts for the image of collection with object of reference, fine aggregate and the pixel ratio of object of reference, obtain the size of fine aggregate。
Owing to fine aggregate particle diameter is less than 4.75mm, therefore selected 3mm is as fine aggregate accuracy selection basis。Precision set 0.01mm, is used as 0.01mm as pixel value, therefore the CCD resolution=3/0.01=300 of imaging device 53, and namely CCD at least to have the resolution of 300 × 300 pixels。It is thus determined that the CCD of the resolution of 720 × 480 pixels, it is necessary to improve amplification, reduce the visual field so that the physical length in tested scope only has 3mm, then each pixel represents 3/480=0.006mm, meet required precision conditions。
N is opened image and carries out m statistics, form a measurement period;Add up the percentage composition of the fine aggregate that each modulus of fineness is interval in each measurement period。
Based on described fine aggregate on-line measuring device, the present invention also provides for a kind of fine aggregate online test method, and the step of this detection method includes:
A. adopt swing Sampling Machine, from fine aggregate conveyer belt 10, take out a number of fine aggregate sample。
B. fine aggregate sample is through tiltedly vibration, enters dispersed modules 40 in action of gravity in whereabouts mode。
C. after fine aggregate sample is dispersed through module 40 dispersion, in the mode that falls by image acquisition analysis module 50。
D. image acquisition analysis module 50 is demarcated。
E. by image procossing, the primary fine aggregate digital picture obtained is processed;Described image procossing includes the extraction etc. of image gray processing, image binaryzation, image enhaucament, image segmentation, image outline。In the present embodiment, image processing process includes, initially with mean filter method smoothed image, next utilizes the maximum variance between clusters in Threshold segmentation that image is carried out binary conversion treatment, then use the repeatedly corrosion in Morphological scale-space and expansion that adhesion fine aggregate is easily separated, finally multiple target areas are carried out connected component labeling, extract the feature of each connected region。In the present embodiment, using size information as fine aggregate of the minimum Feret footpath of connected region that obtains after image procossing in step E, using particle shape parameter as fine aggregate of the longest Feret footpath of connected region that obtains after image procossing in rapid E and the ratio in the shortest Feret footpath。
F. graphical analysis is passed through, it is thus achieved that the particle diameter of fine aggregate sample and particle shape information。Described graphical analysis, including to the fine aggregate particle image after image procossing, count the relevant number of pixels in this particle image closed outline boundary line, and it is converted into the information such as real area, length, width by the scale coefficient obtained by timing signal, thus obtaining fine aggregate particle diameter and particle shape parameter further。
G. the fine aggregate particle diameter and the particle shape information that obtain are shown in man machine interface。Described man machine interface can by software developments such as LabVIEW, HALCON, VC。The human-computer interaction interface that the image procossing of the present invention uses is operated and shows such as the interface of employing LabVIEW system design, it is possible to show the fact of fine aggregate and the grade grading curve of instant process and particle shape in real time。Main frame 55 uses the LabVIEW platform image to collecting to carry out online treatment and feature extraction。The single image collected is done greyscale transformation, mean filter, the segmentation of big law image by LabVIEW platform;Then use feature extraction, obtain the connected region of each fine aggregate in single image, extract the most minor axis of connected region, and the ratio of the longest and most minor axis, obtain particle diameter and the particle shape of each fine aggregate, add up the characteristic parameter of fine aggregate in single image。
H. adopt vacuum cleaner recycling module 60, the fine aggregate sample after analyzing is reclaimed。
As shown in Figure 6, statistics and acquisition parameter are set at the human-computer interaction interface of main frame 55。Statistical parameter includes statistical interval n, and namely collection n opens and obtains a statistical result。Circle collection number of times m, namely has online acquisition n × m altogether and opens image。In camera selective listing, select the camera of CCD。The input of calibration coefficient, the determination of calibration system uses geometric calibration method, the object of reference of known dimensions is set in image acquisition areas 54, extract the number of pixels that each fine aggregate accounts for the image of collection with object of reference, the pixel ratio of fine aggregate and object of reference, this ratio is inputted human-computer interaction interface, for subsequent calculations。
In the present embodiment, imaging device 53 collection frame number per second 60, in LabVIEW software platform, the fine aggregate number identified after 60 image procossing is added up, adds up in 60 images the particle size interval of fine aggregate at 0~0.075mm, 0.075~0.15mm, 0.15~0.3mm, 0.3~0.6mm, 0.6~1.18mm, 1.18~2.36mm, the fine aggregate number of 2.36~4.75mm, add up the percentage composition of the interval fine aggregate of each modulus of fineness, show its statistic curve, as shown in Figure 7。The statistical result that profit obtains in this way is such as individual statistics mutually, rejects incidental error further。
Above-described embodiment is intended merely to the explanation present invention, and is not used as limitation of the invention。As long as according to the technical spirit of the present invention, above-described embodiment is changed, modification etc. is all by the scope of the claims dropping on the present invention。

Claims (17)

1. a fine aggregate on-line measuring device, it is characterised in that include sampling module, sample introduction module, dispersed modules, image acquisition analysis module, recycling module;Sampling module is arranged on fine aggregate conveyer belt, it is sampled with default frequency, and delivers to sample introduction module, be dispersed through module and arrive the image acquisition areas of image acquisition analysis module, the image gathered is carried out feature extraction by image acquisition analysis module, it is thus achieved that the parameter of fine aggregate;The fine aggregate detected is reclaimed by recycling module。
2. fine aggregate on-line measuring device according to claim 1, it is characterised in that sampling module is swing Sampling Machine, is arranged on above fine aggregate conveyer belt, with default warble, fine aggregate is swept sample introduction module。
3. fine aggregate on-line measuring device according to claim 2, it is characterized in that, swing Sampling Machine includes swing arm, sweeps plate, and the upper end of swing arm rotates the fixed position being arranged on above fine aggregate conveyer belt, sweeping plate and be located at the lower end of swing arm, sweeping plate swings towards the direction of sample introduction module。
4. fine aggregate on-line measuring device according to claim 3, it is characterised in that the both sides sweeping plate are provided with limiting plate, and two limiting plates are oppositely arranged, with the cell body sweeping plate and being formed an opening, opening direction is towards sample introduction module。
5. fine aggregate on-line measuring device according to claim 4, it is characterised in that the lower end of swing arm is upper along being connected with limiting plate, when swing arm is static, sweeps plate and is positioned at outside fine aggregate conveyer belt。
6. fine aggregate on-line measuring device according to claim 1, it is characterised in that sample introduction module includes loading hopper, vibrating bunker, and loading hopper is arranged on above vibrating bunker, the opening of vibrating bunker is towards dispersed modules。
7. fine aggregate on-line measuring device according to claim 6, it is characterised in that loading hopper arranges the distance of loading hopper and vibrating bunker by height adjustment mechanism;Vibrating bunker arranges frequency of vibration by vibrating regulator。
8. fine aggregate on-line measuring device according to claim 1, it is characterised in that dispersed modules includes dispersion pipe, deflection plate, and some deflection plates are angularly disposed along short transverse in dispersion pipe, upper deflection plate with under deflection plate oblique in opposite direction。
9. fine aggregate on-line measuring device according to claim 1, it is characterized in that, image acquisition analysis module includes shading case, backlight, image acquisition areas, imaging device, main frame, backlight, image acquisition areas, imaging device are located in shading case, backlight and imaging device are positioned at the both sides of image acquisition areas, and fine aggregate is between backlight and imaging device。
10. fine aggregate on-line measuring device according to claim 1, it is characterised in that recycling module includes vacuum cleaner, communicating pipe, communicating pipe Contiguous graphics acquisition zone and vacuum cleaner。
11. fine aggregate on-line measuring device according to claim 1, it is characterized in that, the single image gathered first is carried out pretreatment by image acquisition analysis module, re-use feature extraction, obtain the connected region of each fine aggregate in single image, extract the most minor axis of connected region, and the ratio of the longest and most minor axis, obtain particle diameter and the particle shape of each fine aggregate, the characteristic parameter of the fine aggregate in statistics single image。
12. fine aggregate on-line measuring device according to claim 11, it is characterized in that, adopt geometric calibration method that the size of fine aggregate is demarcated, particularly as follows: arrange the object of reference of known dimensions in image acquisition areas, extract the number of pixels that each fine aggregate accounts for the image of collection with object of reference, fine aggregate and the pixel ratio of object of reference, obtain the size of fine aggregate。
13. fine aggregate on-line measuring device according to claim 12, it is characterised in that n is opened image and carries out m statistics, form a measurement period;Add up the percentage composition of the fine aggregate that each modulus of fineness is interval in each measurement period。
14. a fine aggregate online test method, it is characterised in that step is as follows:
A) adopting sampling module, take out a number of fine aggregate sample from fine aggregate conveyer belt, under gravity, to fall, mode enters dispersed modules;
B) after fine aggregate sample is dispersed through module dispersion, in the mode that falls by image acquisition analysis module;Obtain the fine aggregate sample digital picture of falling motion state, and fine aggregate sample digital picture is sent to computer;
C) the fine aggregate sample digital picture obtained is processed, initially with mean filter method smoothed image, next utilizes the maximum variance between clusters in Threshold segmentation that image is carried out binary conversion treatment, then use the repeatedly corrosion in Morphological scale-space and expansion that adhesion fine aggregate is easily separated, finally multiple target areas are carried out connected component labeling, extract the feature of each connected region;
D) the fine aggregate sample digital picture obtained is analyzed, according to step C) feature of each connected region that obtains, draw the most minor axis of connected region, and the ratio of the longest and most minor axis, obtain particle diameter and the particle shape of each fine aggregate, the characteristic parameter of the fine aggregate in statistics single image。
15. fine aggregate online test method according to claim 14, it is characterized in that, image acquisition analysis module is demarcated, by shooting the calibrating template with constant spacing pattern array, the calculating through calibration algorithm, draw geometric model, thus being measured and reconstructed results。
16. fine aggregate online test method according to claim 14, it is characterized in that, using step C) in the minimum Feret footpath of connected region that obtains after image procossing as the size information of fine aggregate, using step C) in the longest Feret footpath of connected region that obtains after image procossing and the ratio in the shortest Feret footpath particle shape parameter as fine aggregate。
17. fine aggregate online test method according to claim 14, it is characterised in that particle diameter and the particle shape information of acquisition are shown in man machine interface。
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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CN106885763A (en) * 2017-02-21 2017-06-23 上海万澄环保科技有限公司 A kind of online particle image particle size analyzing device
CN106969708A (en) * 2017-04-20 2017-07-21 华侨大学 A kind of detection means and method of aggregate quality morphology
CN107315887A (en) * 2017-07-07 2017-11-03 中国水利水电科学研究院 Aggregate mathematical model creation method and device
CN107621435A (en) * 2017-10-16 2018-01-23 华侨大学 A kind of aggregate on-Line Monitor Device
CN107727540A (en) * 2017-10-27 2018-02-23 华侨大学 A kind of Machine-made Sand on-line measuring device and online test method
CN107941663A (en) * 2017-11-27 2018-04-20 华侨大学 Machine-made Sand on-line measuring device and method
CN108335310A (en) * 2018-01-10 2018-07-27 华侨大学 A kind of portable particle shape particle size detection method and system
CN109142263A (en) * 2018-07-13 2019-01-04 南京理工大学 A kind of component dispersing uniformity on-line testing method of solid propellant preparation process
CN110047072A (en) * 2019-04-30 2019-07-23 福建南方路面机械有限公司 A kind of gravel size identification processing system and processing method based on mobile interchange
CN110095425A (en) * 2019-05-10 2019-08-06 天康生物股份有限公司 The quantitative detecting method of aftosa 146S and application
CN110174334A (en) * 2019-06-28 2019-08-27 华侨大学 A kind of coarse aggregate quality morphology detection system and method
CN111115028A (en) * 2019-12-17 2020-05-08 山东交通学院 Continuous feeding device for paint detection
CN111257160A (en) * 2020-03-03 2020-06-09 中国铁建重工集团股份有限公司 Aggregate detection device
CN111417848A (en) * 2018-08-03 2020-07-14 株式会社Lg化学 Method for measuring insoluble materials in polymer solutions
CN111595848A (en) * 2019-09-01 2020-08-28 中国铁道科学研究院集团有限公司铁道建筑研究所 Machine-made sand production quality informatization monitoring system based on liquid dispersion
CN111766294A (en) * 2020-07-07 2020-10-13 杭州电子科技大学 Microwave imaging-based sandstone aggregate nondestructive testing method
CN111797872A (en) * 2019-04-09 2020-10-20 深圳市家家分类科技有限公司 Control method, electronic device, computer-readable storage medium and degradation equipment
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CN112014276A (en) * 2020-09-09 2020-12-01 长沙矿山研究院有限责任公司 Detection method for layered segregation degree of filling body and model construction method
CN112191055A (en) * 2020-09-29 2021-01-08 广州天域科技有限公司 Dust device with air detection structure for mining machinery
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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101153850A (en) * 2006-09-30 2008-04-02 长安大学 Method and system for detecting asphalt mixture
CN101793664A (en) * 2010-03-18 2010-08-04 长安大学 Aggregate grading real-time detection method and image acquisition system
CN102768172A (en) * 2012-07-02 2012-11-07 清华大学 Analytical equipment for detecting particle size and/or particle form
JP2014095644A (en) * 2012-11-11 2014-05-22 Kajima Corp Method, system, and program for measuring grain size of deposited granular material
CN203737573U (en) * 2014-03-27 2014-07-30 威海市海王旋流器有限公司 Uniform distributing device
CN204173526U (en) * 2014-09-24 2015-02-25 郑州水工机械有限公司 Sandstone belt conveyer head cleaning device
CN104458542A (en) * 2014-12-18 2015-03-25 中电科信息产业有限公司 Non-contact gravel aggregate grain size and grain shape detector and detection method
CN204944988U (en) * 2015-07-15 2016-01-06 青岛理工大学 A kind of image diversion harvester for fine aggregate

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101153850A (en) * 2006-09-30 2008-04-02 长安大学 Method and system for detecting asphalt mixture
CN101793664A (en) * 2010-03-18 2010-08-04 长安大学 Aggregate grading real-time detection method and image acquisition system
CN102768172A (en) * 2012-07-02 2012-11-07 清华大学 Analytical equipment for detecting particle size and/or particle form
JP2014095644A (en) * 2012-11-11 2014-05-22 Kajima Corp Method, system, and program for measuring grain size of deposited granular material
CN203737573U (en) * 2014-03-27 2014-07-30 威海市海王旋流器有限公司 Uniform distributing device
CN204173526U (en) * 2014-09-24 2015-02-25 郑州水工机械有限公司 Sandstone belt conveyer head cleaning device
CN104458542A (en) * 2014-12-18 2015-03-25 中电科信息产业有限公司 Non-contact gravel aggregate grain size and grain shape detector and detection method
CN204944988U (en) * 2015-07-15 2016-01-06 青岛理工大学 A kind of image diversion harvester for fine aggregate

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
罗小燕 等: "基于图像处理的矿石粒度在线检测***", 《仪表技术与传感器》 *

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CN106885763A (en) * 2017-02-21 2017-06-23 上海万澄环保科技有限公司 A kind of online particle image particle size analyzing device
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