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 PDFInfo
- Publication number
- 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
- Authority
- CN
- China
- Prior art keywords
- fine aggregate
- module
- image
- image acquisition
- sample introduction
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/02—Investigating particle size or size distribution
- G01N15/0205—Investigating particle size or size distribution by optical means, e.g. by light scattering, diffraction, holography or imaging
- G01N15/0227—Investigating 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/85—Investigating 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
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.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610059116.1A CN105699258B (en) | 2016-01-28 | 2016-01-28 | A kind of fine aggregate on-line measuring device and method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610059116.1A CN105699258B (en) | 2016-01-28 | 2016-01-28 | A kind of fine aggregate on-line measuring device and method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN105699258A CN105699258A (en) | 2016-06-22 |
CN105699258B true CN105699258B (en) | 2018-06-19 |
Family
ID=56229701
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610059116.1A Active CN105699258B (en) | 2016-01-28 | 2016-01-28 | A kind of fine aggregate on-line measuring device and method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105699258B (en) |
Families Citing this family (32)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106644855A (en) * | 2016-12-07 | 2017-05-10 | 山东大学 | Measuring method for particle diameter of blocking particles in pervious concrete, and pervious concrete grading detection method |
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 |
CN106969708B (en) * | 2017-04-20 | 2023-03-07 | 华侨大学 | Device and method for detecting morphological quality of aggregate |
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 |
CN108335310B (en) * | 2018-01-10 | 2021-06-29 | 华侨大学 | Portable grain shape and granularity detection method and system |
CN109142263B (en) * | 2018-07-13 | 2020-12-18 | 南京理工大学 | Component dispersion uniformity online test method in solid propellant preparation process |
KR102309284B1 (en) * | 2018-08-03 | 2021-10-06 | 주식회사 엘지에너지솔루션 | Method of measument for undissolved solutes in polymer solution |
CN111797872B (en) * | 2019-04-09 | 2023-08-01 | 深圳市家家分类科技有限公司 | Control method, electronic device, computer-readable storage medium, and degradation apparatus |
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 |
CN110095425B (en) * | 2019-05-10 | 2021-08-27 | 天康生物制药有限公司 | Quantitative detection method and application of foot-and-mouth disease 146S |
CN110174334B (en) * | 2019-06-28 | 2024-03-01 | 华侨大学 | Coarse aggregate form quality detection system and method |
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 |
CN111115028B (en) * | 2019-12-17 | 2022-04-05 | 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 |
CN111766294B (en) * | 2020-07-07 | 2023-07-14 | 杭州电子科技大学 | Sand and stone aggregate nondestructive detection method based on microwave imaging |
CN111965081A (en) * | 2020-08-14 | 2020-11-20 | 湖南长天自控工程有限公司 | Mixture granularity analysis device and system |
CN112014276B (en) * | 2020-09-09 | 2021-09-21 | 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 |
CN112191055B (en) * | 2020-09-29 | 2021-12-31 | 武穴市东南矿业有限公司 | Dust device with air detection structure for mining machinery |
CN112710817A (en) * | 2020-12-18 | 2021-04-27 | 中山艾尚智同信息科技有限公司 | Test system for indoor building sand circulating batching and sand water content test method |
CN112763698A (en) * | 2020-12-18 | 2021-05-07 | 中山艾尚智同信息科技有限公司 | Test system and test method for indoor concrete circulating batching |
CN112634248B (en) * | 2020-12-29 | 2024-04-12 | 清华大学 | Particle size measurement system and method for granular raw material, electronic device and storage medium |
CN112893168A (en) * | 2021-01-13 | 2021-06-04 | 山西浩博森新材料有限公司 | Dynamic image scanning-based gravel detection and classification device and detection method thereof |
CN113237882A (en) * | 2021-05-13 | 2021-08-10 | 中国铁建重工集团股份有限公司 | Visual detection system |
CN113740216B (en) * | 2021-09-09 | 2022-05-24 | 北京师范大学 | Air-ground integrated detection method for wide-gradation mixed aggregate |
CN114166845A (en) * | 2021-11-26 | 2022-03-11 | 浙江交投矿业有限公司 | Automatic get material on-line measuring building stones quality integration and equip |
CN114166704A (en) * | 2021-12-06 | 2022-03-11 | 上海易清智觉自动化科技有限公司 | Fine particle size detection and analysis device and method |
CN114563314A (en) * | 2022-02-11 | 2022-05-31 | 北京建筑材料科学研究总院有限公司 | Rapid automatic detection system and method for concrete sand entering field |
CN115184350A (en) * | 2022-05-27 | 2022-10-14 | 重庆茂侨科技有限公司 | Coarse-grade material needle sheet and particle gradation detection equipment based on visual identification |
CN116233614B (en) * | 2023-04-24 | 2023-07-18 | 钛玛科(北京)工业科技有限公司 | Industrial camera acquisition processing method |
Citations (7)
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 |
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 |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP6062217B2 (en) * | 2012-11-11 | 2017-01-18 | 鹿島建設株式会社 | Particle size measuring method, system and program for accumulated granular material |
-
2016
- 2016-01-28 CN CN201610059116.1A patent/CN105699258B/en active Active
Patent Citations (7)
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 |
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)
Title |
---|
基于图像处理的矿石粒度在线检测系统;罗小燕 等;《仪表技术与传感器》;20150731(第7期);第63-80页 * |
Also Published As
Publication number | Publication date |
---|---|
CN105699258A (en) | 2016-06-22 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN105699258B (en) | A kind of fine aggregate on-line measuring device and method | |
CN107727540A (en) | A kind of Machine-made Sand on-line measuring device and online test method | |
CN107621435A (en) | A kind of aggregate on-Line Monitor Device | |
CN207742058U (en) | A kind of Machine-made Sand on-line measuring device | |
CN110118775B (en) | Method for rapidly detecting composition of plant-mixed cement stabilized macadam aggregate | |
CN207742057U (en) | A kind of aggregate on-Line Monitor Device | |
CN110672478A (en) | Testing method and device for analyzing shape of machined sand particles based on image processing technology | |
CN205175876U (en) | Pile up granularity particle shape on -line measuring device of aggregate | |
CN110174334A (en) | A kind of coarse aggregate quality morphology detection system and method | |
CN103364315B (en) | A kind of sintering solid fuel granularity online test method and pick-up unit | |
CN104502245B (en) | A kind of method that utilization image analysis technology determines sand fineness modulus | |
CN204128924U (en) | Granularity detection device | |
CN114371106A (en) | Method for testing and analyzing morphology parameters of machine-made sand | |
CN104458542A (en) | Non-contact gravel aggregate grain size and grain shape detector and detection method | |
CN111595734A (en) | Machine-made sand production quality informatization monitoring system based on image analysis | |
CN110068518A (en) | Machine-made Sand quality detection apparatus and its detection method | |
CN111968173A (en) | Method and system for analyzing granularity of mixture | |
Yang et al. | Research into different methods for measuring the particle-size distribution of aggregates: An experimental comparison | |
CN113552028B (en) | Mixture visual analysis device, and method and system for detecting granularity composition of mixture | |
Liu et al. | Quantitative evaluation of the influence of coal particle size distribution on gas diffusion coefficient by image processing method | |
CN205483919U (en) | Aggregate on -line measuring device | |
CN110132783A (en) | A kind of Machine-made Sand quality of production information-based monitoring system based on particle friction | |
Liu et al. | The segregation of cement clinker particles in a mill-feeding hopper: PIV experiment and FEM modelling | |
CN204594856U (en) | Contactless sandstone aggregate granularity particle shape detector | |
CN109507971A (en) | A kind of Machine-made Sand quality intelligent monitoring system and monitoring method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |