CN206683580U - A kind of detection means of aggregate quality morphology - Google Patents
A kind of detection means of aggregate quality morphology Download PDFInfo
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- CN206683580U CN206683580U CN201720418382.9U CN201720418382U CN206683580U CN 206683580 U CN206683580 U CN 206683580U CN 201720418382 U CN201720418382 U CN 201720418382U CN 206683580 U CN206683580 U CN 206683580U
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Abstract
The utility model discloses a kind of detection means of aggregate quality morphology, detecting step are as follows:Image acquisition device collection aggregate image is sent to detection analysis instrument；Extract the center-of-mass coordinate of each aggregate；Detection analysis instrument is demarcated using geometric calibration method to the size of aggregate；By roughness and corner angle parameter come the surface texture and corner angle of phenogram picture；The aggregate height profile that scanning obtains is sent to detection analysis instrument by laser scanner；Finally by the difference of height profile curve frequencies, the surface texture of aggregate and corner angle are separated, high frequency represents surface texture, and low frequency represents corner angle；Multiple features fusion is carried out by surface texture and corner angle, obtains the morphological parameters characteristic of each aggregate.The parameter parameter reacted by the morphological parameters and height profile curve reacted the plane picture of aggregate, carries out the fusion of multiple features, can more accurately and effectively reflect the quality morphology of aggregate, and detection time is fast, and the cycle is short, and obtained result is accurate.
Description
Technical field
A kind of detection means of aggregate quality morphology is the utility model is related to, belongs to aggregate quality detection technique field.
Background technology
The morphological feature of aggregate has critically important influence, the morphological feature pair of aggregate to the pavement performance of asphalt
The skeleton composition and its mechanical property of asphalt have key effect.
The domestic detection method to aggregate quality morphology at present, using the method tested after sampling, i.e., sample is carried out
Test analysis, then analyze data is applied in the aggregate of actual production situation.With method have sieve method, time slot
Method, CT scan, imaging analysis instrument obtain the contour shape of aggregate.The problem of same, time cycle be present in these above-mentioned methods
It is long, it is impossible to the accurate morphological feature for drawing aggregate.In addition, the mobility of time slot method is inaccurate, and it is relevant with granularity, can not
Individually performance.In addition, CT scan and imaging analysis instrument are costly winged, spend high.
Utility model content
The utility model provides a kind of detection means of aggregate quality morphology, which overcomes present in background technology not
Foot.Technical scheme is used by the utility model solves its technical problem：
A kind of detection means of aggregate quality morphology, including image acquisition device, for scanning aggregate height profile profile
Laser scanner and detection analysis instrument, the detection analysis instrument and described image collector and laser scanner communicate to connect, should
Laser scanner include power supply unit, profile measurer, sensor head, in addition to the detection platform of light-permeable, for supporting
The camera bellows of the detection platform and the movement for driving the camera bellows at the uniform velocity to pass through below the image acquisition device and laser scanner
Platform, the camera bellows light-permeable, the camera bellows is central to be provided with light source, and the light source is the collection of aggregate image and the scanning of profile
Illumination is provided.
Among one preferred embodiment：The camera bellows surrounding carries out shading by lighttight tinfoil.
Among one preferred embodiment：Described image collector is CCD industrial cameras.
Among one preferred embodiment：The detection platform is light transmission glass plate.
Among one preferred embodiment：The detection analysis instrument and described image acquisition device and the laser scanner it is logical
Letter connection uses USB data transmission agreement or home control network communication protocol.
Among one preferred embodiment：Also include pedestal, the camera bellows is fixed on the mobile platform, and the mobile platform is slidably
Ground connects on the base.
Compared with background technology, it has the following advantages that the technical program：
1. the utility model employs machine vision combination graphical analysis and the analysis of height profile curve data, bone can be achieved
Expect the detection of morphological feature, can accurately react the form of aggregate, quality is advantageous to the grading of aggregate in actual production.
2. the parameter parameter reacted by the morphological parameters and height profile curve reacted the plane picture of aggregate, is carried out
The fusion of multiple features, it can more accurately and effectively reflect the quality morphology of aggregate, and detection time is fast, and the cycle is short, efficiency
Height, cost is low, and obtained result is accurate.
Brief description of the drawings
The utility model is described in further detail with reference to the accompanying drawings and examples.
Fig. 1 depicts the schematic diagram of the detection means of the utility model aggregate quality morphology.
Fig. 2 depicts the testing process schematic diagram of the detection means of the utility model aggregate quality morphology.
Embodiment
Referring to Fig.1 and 2, the detection means of aggregate quality morphology of the present utility model, including image acquisition device 10, use
In the laser scanner 20 and detection analysis instrument 30 that scan aggregate height profile profile, the detection analysis instrument 30 and described image
Collector 10 and laser scanner 20 communicate to connect.The laser scanner 20 includes power supply unit, profile measurer, sensor
Head.Also including the detection platform 40 of light-permeable, the camera bellows 50 for supporting the detection platform and for drive the camera bellows at the uniform velocity from
The mobile platform 60 that the image acquisition device 10 and the lower section of laser scanner 20 are passed through.The detection platform 40 is to be detected for placing
Aggregate.The light-permeable of camera bellows 50, the camera bellows is central to be provided with light source 52, collection and profile of the light source 52 for aggregate image
Scanning provide illumination.
Described image collector 10 is CCD industrial cameras.The detection platform 40 is light transmission glass plate.The camera bellows 50 4
Week carries out shading by lighttight tinfoil.The detection analysis instrument 30 and described image acquisition device 10 and the laser scanner
20 communication connection uses USB data transmission agreement or home control network communication protocol.
Detection means also includes pedestal 70, and the camera bellows 50 is fixed on the mobile platform 60, and the mobile platform 60 is slidably
Ground is connected on the pedestal 70.
Aggregate quality morphology is detected using detection means of the present utility model, step is as follows：
A) aggregate to be measured is put to detection platform, detection platform at the uniform velocity passes through image acquisition device, and image acquisition device will gather
To aggregate image be sent to detection analysis instrument.
B) detection analysis instrument is handled the aggregate image of acquisition, carries out gray proces to aggregate image first, secondly
Processing is filtered to aggregate image using gaussian filtering, recycles the maximum variance between clusters in Threshold segmentation to aggregate image
Binary conversion treatment is carried out, particle that is finally imperfect to border in aggregate image and repeating is removed, and extracts each aggregate
Center-of-mass coordinate.
C) detection analysis instrument is demarcated using geometric calibration method to the size of aggregate, is specially：Set in image acquisition areas
The object of reference of known dimensions is put, extracts the number of pixels that each aggregate and object of reference account for the image of collection, aggregate and object of reference
Pixel ratio, obtain the size of aggregate.Described demarcation, it is to be distorted for corrective lens, determines to convert between physical size and pixel
The method of relation is geometric similarity method or world coordinates method.
D) detection analysis instrument is analyzed the aggregate image of acquisition, draws the actual particle outer perimeter P of imageAWith it
Corresponding circumscribed polygon girth PCWith the girth P of equivalent ellipsoidalE, the roughness and corner angle parameter of aggregate are calculated, by coarse
Degree and corner angle parameter carry out the surface texture and corner angle of phenogram picture.
E) detection platform keeps identical speed at the uniform velocity to pass through laser scanner at the uniform velocity after image acquisition device, and laser is swept
Retouch instrument and the aggregate height profile that scanning obtains is sent to detection analysis instrument.
F) the aggregate height profile that detection analysis instrument obtains to laser scanner carries out analysis calculating, and aggregate is calculated
Length, width and thickness data, the pin degree and piece degree of aggregate are calculated using the length of acquisition, width and thickness data, most
Afterwards by the difference of height profile curve frequencies, the surface texture of aggregate and corner angle are separated, high frequency represents surface texture, low
Frequency represents corner angle.Length scans the time and detection platform translational speed to the end of scan by aggregate height profile curve
Multiplication obtains；Width is determined by the distance between two points that the height of every height profile curve of aggregate is zero；Thickness is by bone
Expect that the height distance of height profile curve crest determines.
G) by step B) obtained aggregate center-of-mass coordinate and step F) in aggregate corresponded；By the bone after correspondence
Expect in step D) obtained surface texture and corner angle and step F) obtained surface texture and corner angle carry out multiple features fusion,
Obtain the morphological parameters characteristic of each aggregate.The abscissa of aggregate center-of-mass coordinate and the difference of laser scanner abscissa divided by inspection
The time that the speed of platform obtains is surveyed, the contour curve of a chop material can be so determined, have further according to the ordinate of aggregate
Body determines the aggregate curve corresponding to each aggregate.
H the morphological parameters characteristic) obtained may be displayed in the man-machine interface of detection analysis instrument.
It is described above, only the utility model preferred embodiment, therefore the utility model implementation can not be limited according to this
Scope, i.e., the equivalent changes and modifications made according to the utility model patent scope and description, it is new all should still to belong to this practicality
In the range of type covers.
Claims (6)
1. a kind of detection means of aggregate quality morphology, including image acquisition device, for scanning aggregate height profile profile
Laser scanner and detection analysis instrument, the detection analysis instrument communicate to connect with described image collector and laser scanner, and this swashs
Photoscanner includes power supply unit, profile measurer, sensor head, it is characterised in that：Also including light-permeable detection platform,
For supporting the camera bellows of the detection platform and for driving the camera bellows at the uniform velocity to be passed through below the image acquisition device and laser scanner
The mobile platform crossed, the camera bellows light-permeable, the camera bellows is central to be provided with light source, collection and wheel of the light source for aggregate image
Wide scanning provides illumination.
2. detection means according to claim 1, it is characterised in that：The camera bellows surrounding is hidden by lighttight tinfoil
Light.
3. detection means according to claim 1, it is characterised in that：Described image collector is CCD industrial cameras.
4. detection means according to claim 1, it is characterised in that：The detection platform is light transmission glass plate.
5. detection means according to claim 1, it is characterised in that：The detection analysis instrument and described image acquisition device
Communication connection with the laser scanner uses USB data transmission agreement or home control network communication protocol.
6. detection means according to claim 1, it is characterised in that：Also include pedestal, the camera bellows is fixed on the movement and put down
On platform, the mobile platform is slidably attached on the pedestal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201720418382.9U CN206683580U (en) | 2017-04-20 | 2017-04-20 | A kind of detection means of aggregate quality morphology |
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| CN201720418382.9U CN206683580U (en) | 2017-04-20 | 2017-04-20 | A kind of detection means of aggregate quality morphology |
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| CN206683580U true CN206683580U (en) | 2017-11-28 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106969708A (en) * | 2017-04-20 | 2017-07-21 | 华侨大学 | A kind of detection means and method of aggregate quality morphology |
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2017
- 2017-04-20 CN CN201720418382.9U patent/CN206683580U/en active Active
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106969708A (en) * | 2017-04-20 | 2017-07-21 | 华侨大学 | A kind of detection means and method of aggregate quality morphology |
| CN106969708B (en) * | 2017-04-20 | 2023-03-07 | 华侨大学 | Device and method for detecting morphological quality of aggregate |
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