CN105699258B - A kind of fine aggregate on-line measuring device and method - Google Patents

A kind of fine aggregate on-line measuring device and method Download PDF

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CN105699258B
CN105699258B CN201610059116.1A CN201610059116A CN105699258B CN 105699258 B CN105699258 B CN 105699258B CN 201610059116 A CN201610059116 A CN 201610059116A CN 105699258 B CN105699258 B CN 105699258B
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fine aggregate
module
image
image acquisition
sample introduction
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CN105699258A (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, e.g. by light scattering, diffraction, holography or imaging
    • G01N15/0227Investigating particle size or size distribution by optical means, e.g. by light scattering, diffraction, holography or imaging using imaging, e.g. a projected image of suspension; 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

Abstract

The invention belongs to a kind of fine aggregate on-line measuring device and method, the device includes sampling module, sample introduction module, dispersed modules, Image Acquisition analysis module, recycling module;Sampling module is set on fine aggregate conveyer belt, it is sampled, and is sent to sample introduction module with preset frequency, be dispersed through the image acquisition areas that module reaches Image Acquisition analysis module, Image Acquisition analysis module carries out feature extraction to the image of acquisition, obtains the parameter of fine aggregate;Recycling module recycles the fine aggregate for detecting completion.Present invention employs the adjustable oblique vibration limitation charging of vibration frequency and the homodisperse two-stage dispersing modes being combined of multilayer baffle plate buffering, it can make fine aggregate that there is preferable dispersibility when falling into measured zone, reduce the difficulty of image analysis, only with classical image procossing and parser, image procossing and parser is simple and reliable, device hardware realization is easy.

Description

A kind of fine aggregate on-line measuring device and method
Technical field
The invention belongs to aggregate quality detection technique fields, and in particular to a kind of fine aggregate on-line measuring device and method.
Background technology
Concrete undertakes emphatically as basic facility and the important materials of urban construction in the novel Urbanization Construction in China Big responsibility.Fine aggregate is the key component of concrete, accounts for about the 30%~40% of volume of concrete total amount.Current concrete performance It is off quality that reason of problems is largely due to fine aggregate, as aggregate particle shape is poor, grading is poor, porosity Greatly, more, content of stone powder height of flat-elongated particles etc..Fine aggregate is off quality can influence concrete water amount, gel material content, Durability etc..Ensure the performance of concrete, not only need to improve concrete production equipment, it is also necessary to improve coagulation soil property Measure controlled level.
Grain size and particle shape are two important quality control parameters of fine aggregate.The size of grain size and distribution can influence aggregate Grain composition.According to national standard《Construction sand》Regulation, the aggregate less than 4.75mm are referred to as fine aggregate.Traditional fine aggregate grade It is that artificial screening offline detects with detection method, this method is time-consuming, energy consumption, it is impossible to reflect the particle size of fine aggregate in time and divide Cloth situation, and particle shape can not be detected, when comprising sheet, gill shape aggregate, it on the one hand can influence droplet measurement precision, the opposing party Face can influence concrete mix Strength Mass.
104853168 A of Chinese invention patent CN disclose a kind of sandstone aggregate quality intelligent monitoring system, in the system Fine aggregate fineness modulus detection module still employ sieve method, by sampling, drying, sieve sieve, screen out different-grain diameter Then aggregate measures weight, calculate the fineness modulus of sandstone.This fine aggregate droplet measurement method still falls within screening detection side Formula, and particle shape can not be detected.
Chinese invention patent CN104063866A discloses the particle size detection method in a kind of ore transmit process, this method The Ore Image on collected conveyer belt is analyzed using image processing techniques, obtains the size distribution information of ore. What this method obtained is the Ore Image information of accumulation, overlapping, and image procossing and analysis method are complicated.
Invention content
It is a primary object of the present invention to overcome the deficiencies of the prior art and provide it is a kind of simple, quickly, available for thin bone Expect production line or fine aggregate grain size on pipeline and particle shape online test method and device, by on-line period, vibrate into Sample, baffling dispersion obtain the high speed image data under fine aggregate dispersion falling state, fine aggregate are obtained through digital image analysis Grain size and particle shape information.The detection method is succinct, the hardware realization of device is easy, accuracy of detection is high.
It is another object of the present invention to provide a kind of two-stage dispersing method of fine aggregate sample, using the dispersing method Device in contain sample introduction module and dispersed modules.First, fine aggregate sample is made to enter sample introduction module and realizes first order dispersion, Its method is, on the one hand, the height between loading hopper and vibrating bunker is set according to fine aggregate particle size range, reach control into The purpose of doses, on the other hand, the frequency tiltedly vibrated by vibrating regulator setting vibrating bunker reaches control charging rate Purpose.Disperseed by the first order, smaller inlet amount in the unit interval can be kept, so as to have fine aggregate sample to be measured Preferable dispersibility.Then, the fine aggregate sample after the first order is disperseed enters back into dispersed modules and realizes second level dispersion, side Method is that the baffle plate of several oblique designs is designed in the dispersion pipe in dispersed modules, and fine aggregate falls into this point from vibrating bunker During separate tube, the cushioning effect through multilayer baffle plate achievees the purpose that uniformly disperse fine aggregate sample.It is thin after two-stage is disperseed Aggregate sample has preferable dispersibility, is easy to collect the fine aggregate image of dispersion by high speed camera, reduces at image Reason and the difficulty of 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 mould Block, recycling module;Sampling module is set on fine aggregate conveyer belt, is sampled with preset frequency, and is sent to sample introduction module, The image acquisition areas that module reaches Image Acquisition analysis module is dispersed through, Image Acquisition analysis module carries out the image of acquisition special Sign extraction obtains the parameter of fine aggregate;Recycling module recycles the fine aggregate for detecting completion.
Preferably, sampling module is swing Sampling Machine, it is arranged on above fine aggregate conveyer belt, is put with preset frequency It is dynamic, fine aggregate is swept into sample introduction module.
Preferably, swing Sampling Machine includes swing arm, sweeps plate, the upper end of swing arm is rotatably arranged on fine aggregate conveyer belt The fixed position of top sweeps the lower end that plate is set on swing arm, sweeps plate and is swung towards the direction of sample introduction module.
Preferably, the both sides for sweeping plate are equipped with limiting plate, two limiting plates are oppositely arranged, and are opened on one side with sweeping plate formation Mouthful groove body, opening direction is towards sample introduction module.
Preferably, the lower end of swing arm and the upper edge of limiting plate connect, when swing arm is static, sweeps plate and be located at fine aggregate conveying Band outside.
Preferably, sample introduction module includes loading hopper, vibrating bunker, loading hopper is arranged on above vibrating bunker, shakes The opening of dynamic hopper is towards dispersed modules.
Preferably, loading hopper sets the distance of loading hopper and vibrating bunker by height adjustment mechanism;Vibration material Bucket sets vibration frequency by vibrating regulator.
Preferably, dispersed modules include dispersion pipe, baffle plate, several baffle plates are oblique along short transverse in dispersion pipe Setting, it is opposite with the oblique direction of the baffle plate under in upper baffle plate.
Preferably, Image Acquisition analysis module includes shading case, backlight, image acquisition areas, imaging device, host, Backlight, image acquisition areas, imaging device are set in shading case, and backlight is located at the both sides of image acquisition areas with imaging device, Fine aggregate is between backlight and imaging device.
Preferably, recycling module includes dust catcher, communicating pipe, communicating pipe Contiguous graphics acquisition zone and dust catcher.
Preferably, Image Acquisition analysis module first pre-processes the single image of acquisition, feature extraction is reused, The connected region of each fine aggregate in single image is obtained, extracts the shortest diameter of connected region and the ratio of longest and shortest diameter, The grain size and particle shape of each fine aggregate are obtained, counts the characteristic parameter of the fine aggregate in single image.
Preferably, the size of fine aggregate is demarcated using geometric calibration method, specially:It is set in image acquisition areas The object of reference of known dimensions extracts the number of pixels that each fine aggregate accounts for the image of acquisition with object of reference, fine aggregate and object of reference Pixel ratio, obtain the size of fine aggregate.
Preferably, carrying out m statistics to n images, a measurement period is formed;Count each thin in each measurement period Spend the percentage composition of the fine aggregate in modulus section.
A kind of fine aggregate online test method, which is characterized in that step is as follows:
A) using sampling module, a certain number of fine aggregate samples are taken out from fine aggregate conveyer belt, under the effect of gravity, Enter dispersed modules in a manner of whereabouts;
B after) fine aggregate sample is dispersed through module dispersion, pass through Image Acquisition analysis module in a manner of whereabouts;It obtains and falls The fine aggregate sample digital picture of motion state, and fine aggregate sample digital picture is sent to host;
C) the fine aggregate sample digital picture of acquisition is handled, first using mean filter method smoothed image, secondly Binary conversion treatment is carried out to image using the maximum variance between clusters in Threshold segmentation, then using multiple in Morphological scale-space Corrosion and expansion detach adhesion fine aggregate, and finally multiple target areas are carried out with connected component labeling, and extraction each connects The feature in logical region;
D) the fine aggregate sample digital picture of acquisition is analyzed, according to step C) the obtained spy of each connected region Sign, obtains the shortest diameter of connected region and the ratio of longest and shortest diameter, obtains the grain size and particle shape of each fine aggregate, counts The characteristic parameter of fine aggregate in single image.
Preferably, being demarcated to Image Acquisition analysis module, pass through mark of the shooting with constant spacing pattern array Solid plate, the calculating by calibration algorithm, obtain geometrical model, so as to be measured and reconstructed results.
Preferably, using step C) in the minimum Feret diameters of connected region that obtain after image procossing as fine aggregate Size information, by step C) in the longest Feret diameters of connected region that obtain after image procossing make with the ratio of most short Feret diameters Particle shape parameter for fine aggregate.
Preferably, the grain size and particle shape presentation of information that obtain are in man-machine interface.
Beneficial effects of the present invention are as follows:
(1) present invention employs machine vision combination Digital image analysis technique, it can be achieved that fine aggregate grain size quality it is fast Fast on-line checking can reflect the fine aggregate grading situation of fine aggregate production line, avoid fine aggregate grain size is off quality from making in time Into economic loss.
(2) in detection method of the invention, the detection to fine aggregate particle shape is increased, the quickly detection of fine aggregate particle shape is non- It is often important.Fine aggregate particle shape can reflect crusher runnability in time, on the one hand, the detection of fine aggregate particle shape can be used as adjustment in time The theoretical reference of crusher operating parameter, on the other hand, the detection of fine aggregate particle shape can also be that the Optimizing manufacture of crusher carries For theoretical reference;In addition, fine aggregate particle shape quality can also influence concrete performance, fine aggregate particle shape quality is detected in time, for Concrete workability, Strength Mass etc. is improved to play an important roll.
(3) the adjustable oblique vibration limitation charging of vibration frequency is employed in the device of the invention and multilayer baffle plate buffering is equal The two-stage dispersing mode that even dispersed phase combines can make fine aggregate have preferable dispersibility when falling into measured zone, reduce The difficulty of image analysis, only with classical image procossing and parser, image procossing and parser it is simple and reliable, The hardware realization of device is easy.
Description of the drawings
Fig. 1 is the structure diagram of the present invention;
Fig. 2 is the structure diagram of sampling module;
Fig. 3 is the structure diagram of sample introduction module;
Fig. 4 is the internal structure schematic diagram of dispersed modules;
Fig. 5 is the structure diagram of image acquisition areas;
Fig. 6 is image procossing human-computer interaction interface;
Fig. 7 is statistical result showed interface;
In figure, 10 be fine aggregate conveyer belt, and 20 be sampling module, and 21 be swing arm, and 22 be to sweep plate, and 23 be limiting plate, 30 It is sample introduction module, 31 be loading hopper, and 32 be vibrating bunker, and 40 be dispersed modules, and 41 be dispersion pipe, and 42 be baffle plate, and 50 are Image Acquisition analysis module, 51 be shading case, and 52 be backlight, and 53 be imaging device, and 54 be image acquisition areas, and 55 be host, 60 be recycling module, and 61 be communicating pipe, and 62 be dust catcher.
Specific embodiment
The present invention is further described in detail with reference to the accompanying drawings and embodiments.
The present invention provides a kind of thin bone to realize the fine aggregate grading for reflecting current fine aggregate production line immediately, particle shape On-line measuring device is expected, as shown in Figure 1, including sampling module 20, sample introduction module 30, dispersed modules 40, Image Acquisition analysis mould Block 50, recycling module 60;Sampling module 20 is set on fine aggregate conveyer belt 10, is sampled with preset frequency, and send to Sample introduction module 30 is dispersed through the image acquisition areas 54 that module 40 reaches Image Acquisition analysis module 50, Image Acquisition analysis module The image of 50 pairs of acquisitions carries out feature extraction, obtains the parameter of fine aggregate;Recycling module 60 will detect the fine aggregate progress completed Recycling.
The sampling module 20 of the present invention, which can acquire, provides representational fine aggregate, excludes segregation phenomenon to testing result Influence.The sampling module 20 of the present invention is swing Sampling Machine, 10 top of fine aggregate conveyer belt is arranged on, with preset frequency It swings, fine aggregate is swept into sample introduction module 30, the fine aggregate of width all on fine aggregate conveyer belt 10 is pushed into sample introduction module 30, Ensure that sample has adequate representation.
Specifically, as shown in Fig. 2, swing Sampling Machine includes swing arm 21, sweeps plate 22, the upper end rotation setting of swing arm 21 Fixed position above fine aggregate conveyer belt 10 sweeps the lower end that plate 22 is set on swing arm 21, sweeps plate 22 towards sample introduction module 30 Direction swing.During swinging sweeping plate 22, the fine aggregate swept to will not scatter to the both sides for sweeping plate 22, The efficiency of sampling is influenced, in of the invention, the both sides for sweeping plate 22 are equipped with limiting plate 23, and two limiting plates 23 are oppositely arranged, with sweeping Movable plate 22 forms the groove body of one side opening, and opening direction is towards sample introduction module 30.The lower end of swing arm 21 and the upper edge of limiting plate 23 Connection when swing arm 21 is static, sweeps plate 22 and is located at 10 outside of fine aggregate conveyer belt.Rocker-arm Sampling Machine is by fine aggregate conveyer belt 10 On fine aggregate be packed into groove body when rocking arm is swung, fine aggregate is pushed into when rocking arm swings to fine aggregate 10 edge of conveyer belt Sample introduction module 30.
As shown in figure 3, sample introduction module 30 includes loading hopper 31, vibrating bunker 32, loading hopper 31 is arranged on vibration material 32 top of bucket, the opening of vibrating bunker 32 is towards dispersed modules 40.Loading hopper 31 sets charging leakage by height adjustment mechanism The distance of bucket 31 and vibrating bunker 32;Vibrating bunker 32 sets vibration frequency by vibrating regulator.Using with vibration sample introduction Vibrating bunker 32 fine aggregate of sampling is sent into dispersed modules 40, ensure to generate the sample introduction stream of uniformly smooth, by adjust into The vibration frequency of the distance between funnel 31 and vibrating bunker 32 and vibrating bunker 32 adjust respectively sample introduction thickness and into Expect speed.
Before testing, the distance of loading hopper 31 and vibrating bunker 32 is adjusted, distance is set as the fine aggregate grain size upper limit 0.5 times.By setting the distance controlling pan feeding thickness of loading hopper 31 and vibrating bunker 32, reach the mesh of dispersion fine aggregate 's.In the present embodiment, 32 amplitude of vibrating bunker is 1.5mm, and vibration frequency is 0~3000r/min, and adjustment vibrating bunker 32 shakes Dynamic frequency so that fine aggregate is moved with uniform slowly speed on injector.Collected fine aggregate enters loading hopper 31, Vibrating bunker 32 is started to work, and vibrating bunker 32 starts to transmit fine aggregate with the frequency set, the thin bone in sample funnel 31 Material, which constantly falls, enters vibrating bunker 32, and fine aggregate is fallen with the thickness and speed that set into dispersed modules 40.
As shown in figure 4, dispersed modules 40 include dispersion pipe 41, baffle plate 42, several baffle plates 42 edge in dispersion pipe 41 Short transverse is angularly disposed, opposite with the 42 oblique direction of baffle plate under in upper baffle plate 42.Dispersed modules 40 can be right Fine aggregate makes good dispersion, to the accuracy of identification of fine aggregate grain size during so as to improve image procossing.Dispersion pipe 41 Baffle plate 42 allows the accelerated motion of fine aggregate under gravity, passes through touching between the tube wall of fine aggregate and dispersion pipe 41 It hits, the mutual collision between fine aggregate and fine aggregate and the effect between the baffle plate 42 in fine aggregate and dispersion pipe 41 come It realizes dispersion, finally drops out the fine aggregate of dispersion pipe 41 and fallen into the state disperseed very much the image of Image Acquisition analysis module 50 Acquisition zone 54.
As shown in figure 5, Image Acquisition analysis module 50 is set including shading case 51, backlight 52, image acquisition areas 54, imaging Standby 53, host 55, backlight 52, image acquisition areas 54, imaging device 53 are set in shading case 51, and backlight 52 is set with imaging Standby 53 are located 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 Source 52 uses LED backlight, and imaging device 53 is the CCD industrial cameras using USB3.0 interfaces, by collected fine aggregate Image carries out image procossing using the interface transmission data of usb3.0 to host 55.Shading case 51 sealed around is used to keep out certainly Right influence of the light to shooting effect.
Recycling module 60 includes dust catcher 62, communicating pipe 61, communicating pipe 61 Contiguous graphics acquisition zone 54 with dust catcher 62, can The influence of image acquisition areas 54 testing result is swum in effectively reduce fine powder, damage of the dust to equipment can also be reduced.
Image Acquisition analysis module 50 first pre-processes the single image of acquisition, and image procossing of the invention is considered Backlight 52 and the required instantaneity of online processing are used, therefore image preprocessing has mainly used mean filter and big Law Threshold segmentation;Feature extraction is reused, the connected region of each fine aggregate in single image is obtained, extracts connected region The ratio of shortest diameter and longest and shortest diameter obtains the grain size and particle shape of each fine aggregate, counts the fine aggregate in single image Characteristic parameter, this statistical method can reduce accidental error.
The size of fine aggregate is demarcated using geometric calibration method, the calibration, be to distort for corrective lens, determine The mathematical method of conversion relation between physical size and pixel, including geometric similarity method, world coordinates method etc..Band is shot by camera The calibrating template that has constant spacing pattern array, the calculating by calibration algorithm, it can be deduced that the geometrical model of camera, so as to To high-precision measurement and reconstructed results.
Monocular vision geometric similarity method may be used in calibration, is counted by measuring the number of pixels corresponding to calibration scale length The ratio of physical length and actual pixels number is calculated, so as to obtain scale coefficient.The number of pixels that tested geometric sense occupies is more, Measurement Resolution is higher, and measurement accuracy is also higher.Specially:The object of reference of known dimensions, extraction are set in image acquisition areas 54 Each fine aggregate accounts for the pixel ratio of the number of pixels of the image of acquisition, fine aggregate and object of reference with object of reference, obtains fine aggregate Size.
Since fine aggregate grain size is less than 4.75mm, therefore selected 3mm is as fine aggregate accuracy selection basis.Precision set 0.01mm, by 0.01mm as pixel value, therefore CCD resolution ratio=3/0.01=300 of imaging device 53, i.e. CCD at least will There is the resolution ratio of 300 × 300 pixels.It is thus determined that the CCD of the resolution ratio of 720 × 480 pixels, needs to improve amplification factor, Reduce the visual field so that the physical length in tested range only has 3mm, then each pixel represents 3/480=0.006mm, meets institute The precision conditions needed.
M statistics is carried out to n images, forms a measurement period;Count each measurement period Nei Ge fineness modulus area Between fine aggregate percentage composition.
Based on the fine aggregate on-line measuring device, the present invention also provides a kind of fine aggregate online test method, the inspections The step of survey method, includes:
A. using swing Sampling Machine, a certain number of fine aggregate samples are taken out from fine aggregate conveyer belt 10.
B. fine aggregate sample enters dispersed modules 40 in gravity by tiltedly vibration in a manner of falling.
C. after fine aggregate sample is dispersed through the dispersion of module 40, pass through Image Acquisition analysis module 50 in a manner of whereabouts.
D. Image Acquisition analysis module 50 is demarcated.
E. by image procossing, the original fine aggregate digital picture of acquisition is handled;The image procossing includes Image gray processing, image binaryzation, image enhancement, image segmentation, extraction of image outline etc..In the present embodiment, image procossing Process includes, first using mean filter method smoothed image, secondly using the maximum variance between clusters in Threshold segmentation to image Binary conversion treatment is carried out, then adhesion fine aggregate is detached using the multiple corrosion in Morphological scale-space and expansion, finally Connected component labeling is carried out to multiple target areas, extracts the feature of each connected region.In the present embodiment, it will scheme in step E Size information of the minimum Feret diameters of connected region obtained after picture processing as fine aggregate, will obtain in rapid E after image procossing Connected region longest Feret diameters and most short Feret diameters particle shape parameter of the ratio as fine aggregate.
F. by image analysis, the grain size of fine aggregate sample and particle shape information are obtained.The image analysis, including to figure As treated fine aggregate particle image, the related number of pixels in the particle image closed outline boundary line is counted, and by calibration When obtained scale coefficient it is converted into the information such as real area, length, width, so as to further obtain fine aggregate grain size and Particle shape parameter.
G. the fine aggregate grain size and particle shape presentation of information obtained is in man-machine interface.The man-machine interface can be by The software developments such as LabVIEW, HALCON, VC.The human-computer interaction interface that the image procossing of the present invention uses is operated and is shown Such as using the interface of LabVIEW systems design, can be write music for a song with the fact of real-time display fine aggregate and the grade handled immediately grade Line and particle shape.Host 55 carries out online processing and feature extraction using LabVIEW platform to the image collected.LabVIEW Platform makees collected single image greyscale transformation, mean filter, the segmentation of big law image;Then it using feature extraction, obtains The connected region of each fine aggregate into single image, extracts the shortest diameter of connected region and the ratio of longest and shortest diameter, obtains To the grain size and particle shape of each fine aggregate, the characteristic parameter of the fine aggregate in single image is counted.
H. using dust catcher recycling module 60, the fine aggregate sample after analysis is recycled.
As shown in fig. 6, in the human-computer interaction interface setting statistics and acquisition parameter of host 55.Statistical parameter includes statistics N is spaced, that is, acquires n and obtains a statistical result.Circle collection number m, i.e., online acquisition n × m altogether images.In phase Machine selective listing selects the camera of CCD.The input of calibration coefficient, the determining of calibration system use geometric calibration method, are adopted in image Collect the object of reference that area 54 sets known dimensions, extract the number of pixels that each fine aggregate accounts for the image of acquisition with object of reference, thin bone The ratio is inputted human-computer interaction interface, for subsequently calculating by the pixel ratio of material and object of reference.
In the present embodiment, the acquisition frame number 60 per second of imaging device 53 is opened, in LabVIEW software platforms, by 60 images The fine aggregate number identified after processed adds up, and counts the particle size interval of fine aggregate in 60 images in 0~0.075mm, 0.075~0.15mm, 0.15~0.3mm, 0.3~0.6mm, 0.6~1.18mm, 1.18~2.36mm, 2.36~4.75mm's Fine aggregate number counts the percentage composition of the fine aggregate in each fineness modulus section, shows its statistic curve, as shown in Figure 7.Profit The statistical result obtained in this way compares such as individual statistics, further rejects accidental error.
Above-described embodiment is intended merely to illustrate the present invention, and is not used as limitation of the invention.As long as according to this hair Bright technical spirit is changed above-described embodiment, modification etc. will be all fallen in the scope of the claims of the present invention.

Claims (10)

1. a kind of fine aggregate on-line measuring device, which is characterized in that adopted including sampling module, sample introduction module, dispersed modules, image Set analysis module, recycling module;Sampling module is set on fine aggregate conveyer belt, is sampled with preset frequency, and send to Sample introduction module is dispersed through the image acquisition areas that module reaches Image Acquisition analysis module, and Image Acquisition analysis module is to acquisition Image carries out feature extraction, obtains the parameter of fine aggregate;Recycling module recycles the fine aggregate for detecting completion;
The sample introduction module includes loading hopper, vibrating bunker, and loading hopper is arranged on above vibrating bunker, and vibrating bunker is opened Mouthful towards dispersed modules;Loading hopper sets the distance of loading hopper and vibrating bunker by height adjustment mechanism;Vibrating bunker Vibration frequency is set by vibrating regulator;
The sampling module is swing Sampling Machine, is arranged on above fine aggregate conveyer belt, with preset warble, by thin bone Material is swept into sample introduction module;Swing Sampling Machine includes swing arm, sweeps plate, and the upper end of swing arm is rotatably arranged on fine aggregate conveyer belt The fixed position of side sweeps the lower end that plate is set on swing arm, sweeps plate and is swung towards the direction of sample introduction module;The both sides for sweeping plate are equipped with Limiting plate, two limiting plates are oppositely arranged, and the groove body of one side opening is formed with sweeping plate, and opening direction is towards sample introduction module;Pendulum The lower end of arm and the upper edge of limiting plate connect, and when swing arm is static, sweeps plate and are located on the outside of fine aggregate conveyer belt;
The dispersed modules include dispersion pipe, baffle plate, and several baffle plates are angularly disposed along short transverse in dispersion pipe, upper Baffle plate it is opposite with the oblique direction of the baffle plate under.
2. fine aggregate on-line measuring device according to claim 1, which is characterized in that Image Acquisition analysis module includes hiding Light box, backlight, image acquisition areas, imaging device, host, backlight, image acquisition areas, imaging device are set in shading case, Backlight is located at the both sides of image acquisition areas with imaging device, and fine aggregate is between backlight and imaging device.
3. fine aggregate on-line measuring device according to claim 1, which is characterized in that recycling module includes dust catcher, connects Siphunculus, communicating pipe Contiguous graphics acquisition zone and dust catcher.
4. fine aggregate on-line measuring device according to claim 1, which is characterized in that Image Acquisition analysis module is first to adopting The single image of collection is pre-processed, and reuses feature extraction, obtains the connected region of each fine aggregate in single image, extraction The most short Feret diameters of connected region and the longest Feret diameters of connected region, calculating longest Feret diameters and most short Feret diameters Than obtaining the grain size and particle shape of each fine aggregate, counting the characteristic parameter of the fine aggregate in single image.
5. fine aggregate on-line measuring device according to claim 4, which is characterized in that using geometric calibration method to fine aggregate Size demarcated, specially:In the object of reference of image acquisition areas setting known dimensions, each fine aggregate and object of reference are extracted The pixel ratio of the number of pixels of the image of acquisition, fine aggregate and object of reference is accounted for, obtains the size of fine aggregate.
6. fine aggregate on-line measuring device according to claim 5, which is characterized in that m statistics is carried out to n images, Form a measurement period;Count the percentage composition of the fine aggregate in each fineness modulus section in each measurement period.
7. a kind of fine aggregate is examined online using the fine aggregate of claim 1~6 any one of them fine aggregate on-line measuring device Survey method, which is characterized in that step is as follows:
A) using sampling module, a certain number of fine aggregate samples are taken out from fine aggregate conveyer belt, under the effect of gravity, below The mode of falling enters dispersed modules;
B after) fine aggregate sample is dispersed through module dispersion, pass through Image Acquisition analysis module in a manner of whereabouts;Obtain falling motion The fine aggregate sample digital picture of state, and fine aggregate sample digital picture is sent to computer;
C) the fine aggregate sample digital picture of acquisition is handled, first using mean filter method smoothed image, is secondly utilized Maximum variance between clusters in Threshold segmentation carry out binary conversion treatment to image, then using the multiple corrosion in Morphological scale-space Adhesion fine aggregate is detached with expansion, connected component labeling finally is carried out to multiple target areas, extracts each connected region The feature in domain;
D) the fine aggregate sample digital picture of acquisition is analyzed, according to step C) the obtained feature of each connected region, It obtains the most short Feret diameters of connected region and the longest Feret diameters of connected region, calculates longest Feret diameters and most short Feret diameters Ratio, obtain the grain size and particle shape of each fine aggregate, count the characteristic parameter of the fine aggregate in single image.
8. fine aggregate online test method according to claim 7, which is characterized in that carried out to Image Acquisition analysis module Calibration by calibrating template of the shooting with constant spacing pattern array, the calculating by calibration algorithm, obtains geometrical model, So as to be measured and reconstructed results.
9. fine aggregate online test method according to claim 8, which is characterized in that by step C) in after image procossing Size information of the most short Feret diameters of the connected region arrived as fine aggregate, by step C) in the connection that obtains after image procossing Particle shape parameter of the ratio of the longest Feret diameters in region and most short Feret diameters as fine aggregate.
10. fine aggregate online test method according to claim 7, which is characterized in that the grain size of acquisition and particle shape information It is shown in man-machine interface.
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