CN104458542A - Non-contact gravel aggregate grain size and grain shape detector and detection method - Google Patents
Non-contact gravel aggregate grain size and grain shape detector and detection method Download PDFInfo
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Abstract
The invention discloses a non-contact gravel aggregate grain size and grain shape detector and a detection method. The detector comprises a feeding system, an image acquisition system, an image processing and analyzing system and a display system, wherein the image acquisition system comprises a light source, a background plate and acquisition equipment; the light source is opposite to the acquisition equipment, an image detection region is formed between the light source and the acquisition equipment, the background plate is positioned in the detection region close to the light source, a discharging (feeding) opening of the feeding system is positioned at the upper part of the detection region and is close to the background plate, the image processing and analyzing system is connected to the display system through signals, and the display system is used for displaying results and outputting statements. The detector adopts image processing and digital imaging techniques. When a material falls freely from the detection region, the grain size gradation, needle and flake content, sphericity, length-diameter ratio, grain count and other indexes of the material are precisely measured in real time, and through multiple groups of tests, the multiple indexes are integrated to evaluate the performance of the sample on the whole, the specification and grade of gravel aggregate can be determined automatically, and a detection report is provided.
Description
Technical field
The present invention relates to a kind of sandstone aggregate checkout equipment, be specifically related to a kind of contactless sandstone aggregate granularity particle shape detector and detection method.
Background technology
At present, the requirement of sandstone aggregate is large, need 1.5 cubic metres, and the quality of aggregate also directly can have influence on the quality of concrete dam in the concrete of every cubic metre.For the concrete meeting some strength and sealing requirements, the application property of mixture is the most important performance ensureing concrete remaining mass.Concerning concrete construction, the particle shape of aggregate is sometimes also large than the impact of grating.Desirable aggregate particle shape is isometrical shape (namely macroscopic view is spherical), and when surface roughness is identical, the specific surface area of isometrical shape aggregate is minimum, and water requirement is minimum, can meet the maturing such as application property and intensity character simultaneously.And the too poor reason of sandstone quality mainly nobody carries out sandstone standard in real earnest and to the supervision of its quality, inspection, the concrete " difficulty is done " that China is current and aggregate particle shape have much relations, in the conventional stone of China, pin, sheet are apparent, rarely found isometrical shape, and in prior art, GB realizes the evaluation of sandstone aggregate specification, poor accuracy by square hole screen screening in conjunction with the mode that artificial experience judges, waste time and energy, also ununified standard.Visible, sandstone particle shape standard disunity, irregular, have a strong impact on effective rate of utilization and the concrete quality of sandstone.
Summary of the invention
The object of the invention is the problem for sandstone specification of aggregate evaluation work amount is large in prior art, accuracy is low, a kind of contactless sandstone aggregate granularity particle shape detector is provided and utilizes this detector to detect the method for sandstone specification, this detector adds the detection to sandstone aggregate sphericity, length-diameter ratio on the basis of GB, achieve the automatic evaluation of sandstone aggregate specification grade, detection method is simple to operate, analytical standard is accurate, unified, automatic output analysis result, efficient and convenient, practical.
For achieving the above object, the present invention adopts following technical scheme: a kind of contactless sandstone aggregate granularity particle shape detector, comprise feed system, image capturing system, image processing and analyzing system and display system, described feed system completes building stones automatic feed, dispersion, discharging, described image capturing system comprises light source, background board and collecting device, image capturing system is in complete confined space, described light source and collecting device are oppositely arranged, image detection zone is formed between light source and collecting device, background board is positioned at the detection zone closing on light source, described feed system goes out (entering), and material mouth is positioned at top, detection zone and closes on background board position, the pictorial information that described image processing and analyzing system gathers for receiving image capturing system, the every Testing index of object to be detected is obtained by image processing algorithm, and merge each Testing index and draw analysis result, image processing and analyzing system is connected with display system signals, display system is used for result display, report output.
Based on technique scheme, described image capture device is video camera, and camera shutter speed is more than or equal to 1/2000S, hard-disc storage at least 50 width images per second.
A kind of method utilizing above-mentioned detector to detect sandstone aggregate granularity particle shape, first automatic feed, the dispersion of sandstone aggregate sample is completed by feed system, discharging, pass through software control, the position of automatic adjustment sample funnel and height, Quality control flow velocity, sample evenly flows into the image detection zone of image capturing system from top to bottom, by the material image of image capture device collection from detection zone free-falling, obtain the multi-angle image of material dropping process to be detected, and the material image of acquisition be sent to image analysis processing system:
First image analysis processing system opens a picture to be detected, does pre-service to picture, comprises filtering, brightness adjustment, background elimination; Then the multiple targets in visual field are separated into single independent individual, follow the tracks of the profile of each independent individual; Profile information is utilized to calculate area, girth, the boundary rectangle size of each independent individual; Then utilize area, sphericity that all long messages calculate each pinpoint target, utilize the external world to connect rectangular dimension and judge faller gill shape, calculate sandstone aggregate granularity, length-diameter ratio; Then gather and calculate single image elongated particles, grain size distribution, length-diameter ratio average, sphericity average, so far, a width image detect is complete, returns step 1, continues to detect next width picture, and image detect is complete by the gross, obtains batch testing result;
Finally each batch of testing result is delivered to display system, and display system realizes man-machine interaction, result display and report output by software interface.
Based on technique scheme, in described sample materials same material in visual field at least by image capture device multi-angled shooting seven times.
Based on technique scheme, the sandstone aggregate that described above-mentioned detection method detects is the building stone of particle size range 5mm ~ 100mm.
Beneficial effect of the present invention: a kind of sandstone aggregate granularity particle shape detector of the present invention's protection, that one is integrated with light, machine, power technology is in the robotization photodetector system of integration, combine optics, electronics, the related content in the fields such as machinery, relate to artificial intelligence, computer science, image procossing, the Disciplinary Frontiers of multiple scientific research such as pattern-recognition, this detector adopts image procossing and digital imaging technology, for the building stone of particle size range 5mm ~ 100mm, when material is between detection zone during free-falling, its grain size distribution of real―time precision measurment, elongated particles, sphericity, length-diameter ratio, the many indexs such as grain count, by organizing test more, many index is comprehensive, overall judge properties of sample, the specification grade of automatic judgement sandstone aggregate, provide detection form.The basis of GB adds the detection to sandstone aggregate sphericity, length-diameter ratio, achieves the automatic evaluation of sandstone aggregate specification grade first.This equipment, to control sandstone aggregate product quality, improves construction quality and has great significance, will produce far-reaching influence to multiple industry such as sandstone, building.Detection method operation of the present invention is reasonable, analytical standard is accurate, unification, sensing range is wide, multi-angular analysis, automatic output analysis result, efficient and convenient, output image is directly perceived, vivid, practical, the method is also applicable to the detection of other industry particle, as medicine, food, cement, abrasive substance etc.
figure of description
Fig. 1 is the system chart of sandstone aggregate granularity particle shape detector of the present invention;
Fig. 2 is the image capturing system structural representation in Fig. 1;
Fig. 3 is the sample pictures that in Fig. 2, image capturing system gathers;
Fig. 4 is the image processing algorithm schematic flow sheet of sandstone aggregate granularity particle shape detection method of the present invention;
Fig. 5 is the image results schematic diagram of image analysis processing system process in Fig. 1.
Number in the figure, 1 is light source, and 2 is background board, and 3 expect mouth for feed system goes out (entering), and 4 is image capture device, and 5 is that testing sample gathers picture, and 6 for gathering picture analyzing schematic diagram.
Embodiment
Below in conjunction with specific embodiment, the invention will be further described.
Embodiment 1: a kind of contactless sandstone aggregate granularity particle shape detector, see Fig. 1, comprise feed system, image capturing system, image processing and analyzing system and display system, described feed system completes building stones automatic feed, dispersion, discharging, pass through software control, automatically can regulate position and the height of sample funnel, Quality control flow velocity, make sample reach uniform dispersion and inject.As shown in Figure 2, described image capturing system comprises light source 1, background board 2 and collecting device 4, and image capturing system is in complete confined space, uniform illumination, to be required by background board 2 and sample materials aberration is large and light transmission is strong.Described light source 1 is oppositely arranged with collecting device 4, and form image detection zone between light source and collecting device, background board 2 is positioned at the detection zone closing on light source 1, and described feed system goes out (entering), and material mouth 3 is positioned at top, detection zone and closes on background board 2 position.Collecting device 4 is video camera, requires: shutter speed is more than or equal to 1/2000S; Hard-disc storage at least 50 width images per second, to ensure same object in visual field at least by multi-angled shooting seven times.Figure 3 shows that the sample pictures of collection.
The concrete detection method of above-mentioned contactless sandstone aggregate granularity particle shape detector is adopted to be: the automatic feed first being completed sandstone aggregate sample by feed system, dispersion, discharging, pass through software control, the position of automatic adjustment sample funnel and height, Quality control flow velocity, sample is reached and to disperse uniformly to detection zone and to inject, sample evenly flows into the image detection zone of image capturing system from top to bottom, by the material image of image capture device collection from detection zone free-falling, ensure same object in visual field at least by multi-angled shooting seven times, to obtain the multi-angle image of material dropping process to be detected, and the material image of acquisition is sent to image analysis processing system:, first detected sample can be divided into some parts in this step, mutually be combined to form some groups that number is equal between several parts, by group, material image is sent to image analysis processing system.：
As shown in Figure 4, first image analysis processing system opens a picture to be detected, does pre-service to picture, comprises filtering, brightness adjustment, background elimination; Then the multiple targets in visual field are separated into single independent individual, follow the tracks of the profile of each independent individual; Profile information is utilized to calculate area, girth, the boundary rectangle size of each independent individual; Then utilize area, sphericity that all long messages calculate each pinpoint target, utilize the external world to connect rectangular dimension and judge faller gill shape, calculate sandstone aggregate granularity, length-diameter ratio; Then gather and calculate single image elongated particles, grain size distribution, length-diameter ratio average, sphericity average, so far, a width image detect is complete, returns step 1, continues to detect next width picture, and image detect is complete by the gross, obtains batch testing result; By image analysis processing nested design process picture, obtain the testing result of each group; Figure 5 shows that image detect result schematic diagram.
Then each group of testing result is delivered to display system, display system realizes man-machine interaction, result display and report output by software interface, finally the test result of each group is merged, obtains final detection result.
The elongated particles wherein related in above-mentioned detection method refers to that building stones size is greater than the content of the average grade of corresponding grade belonging to this particle 2.4 times of building stones, grain size distribution refers to the quantity in the bulk material be made up of different grain size shared by granularity at different levels, often represents with the percentage accounting for total amount.Sphericity refers to the ratio of same homalographic positive round girth and building stones perimeter, the degree of reaction object type circle.Length-diameter ratio refers to the length of building stones and wide ratio, reaction geometry of objects.
To sum up, the present embodiment obtains the multi-angle image of material dropping process to be detected by image capture device, then grain size distribution, elongated particles, sphericity, length-diameter ratio information is obtained, finally by the fusion automatic evaluation aggregate grade to these information based on multiple image processing algorithm.And the specification grade of aggregate is the requirement in conjunction with National Standard of the People's Republic of China GB/T14685-2011 in the present embodiment, and increases the judgement of sphericity, length-diameter ratio drawn.
Claims (5)
1. a contactless sandstone aggregate granularity particle shape detector, it is characterized in that: comprise feed system, image capturing system, image processing and analyzing system and display system, described feed system completes building stones automatic feed, dispersion, discharging, described image capturing system comprises light source, background board and collecting device, image capturing system is in complete confined space, described light source and collecting device are oppositely arranged, image detection zone is formed between light source and collecting device, background board is positioned at the detection zone closing on light source, described feed system goes out (entering), and material mouth is positioned at top, detection zone and closes on background board position, the pictorial information that described image processing and analyzing system gathers for receiving image capturing system, the every Testing index of object to be detected is obtained by image processing algorithm, and merge each Testing index and draw analysis result, image processing and analyzing system is connected with display system signals, display system is used for result display, report output.
2. contactless sandstone aggregate granularity particle shape detector according to claim 1, is characterized in that: described image capture device is video camera, and camera shutter speed is more than or equal to 1/2000S, hard-disc storage at least 50 width images per second.
3. the method utilizing detector as claimed in claim 1 to detect sandstone aggregate granularity particle shape, it is characterized in that: the automatic feed first being completed sandstone aggregate sample by feed system, dispersion, discharging, pass through software control, the position of automatic adjustment sample funnel and height, Quality control flow velocity, sample evenly flows into the image detection zone of image capturing system from top to bottom, by the material image of image capture device collection from detection zone free-falling, obtain the multi-angle image of material dropping process to be detected, and the material image of acquisition is sent to image analysis processing system:
First image analysis processing system opens a picture to be detected, does pre-service to picture, comprises filtering, brightness adjustment, background elimination; Then the multiple targets in visual field are separated into single independent individual, follow the tracks of the profile of each independent individual; Profile information is utilized to calculate area, girth, the boundary rectangle size of each independent individual; Then utilize area, sphericity that all long messages calculate each pinpoint target, utilize the external world to connect rectangular dimension and judge faller gill shape, calculate sandstone aggregate granularity, length-diameter ratio; Then gather and calculate single image elongated particles, grain size distribution, length-diameter ratio average, sphericity average, so far, a width image detect is complete, returns step 1, continues to detect next width picture, and image detect is complete by the gross, obtains batch testing result;
Finally each batch of testing result is delivered to display system, and display system realizes man-machine interaction, result display and report output by software interface.
4. the method for detection sandstone aggregate granularity particle shape according to claim 3, is characterized in that: in described sample materials same material in visual field at least by image capture device multi-angled shooting seven times.
5. the method for detection sandstone aggregate granularity particle shape according to claim 3, is characterized in that: the sandstone aggregate that described detection method detects is the building stone of particle size range 5mm ~ 100mm.
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Cited By (12)
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| CN104853168A (en) * | 2015-05-25 | 2015-08-19 | 三峡大学 | Intelligent monitoring system for gravel aggregate quality |
| CN105699258A (en) * | 2016-01-28 | 2016-06-22 | 华侨大学 | Online detection device and method of fine aggregates |
| CN107103602A (en) * | 2017-04-19 | 2017-08-29 | 凌美芯（北京）科技有限责任公司 | A kind of intelligent material method of counting based on computer vision technique |
| CN107941663A (en) * | 2017-11-27 | 2018-04-20 | 华侨大学 | Machine-made Sand on-line measuring device and method |
| 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 |
| CN110174334A (en) * | 2019-06-28 | 2019-08-27 | 华侨大学 | A kind of coarse aggregate quality morphology detection system and method |
| CN110879194A (en) * | 2019-12-16 | 2020-03-13 | 深圳市龙岗大工业区混凝土有限公司 | Fineness detection device of concrete aggregate |
| CN111595734A (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 image analysis |
| CN112284989A (en) * | 2020-10-26 | 2021-01-29 | 吉林亚泰水泥有限公司 | Coarse aggregate grain shape detection equipment and evaluation method |
| CN112528913A (en) * | 2020-12-18 | 2021-03-19 | 中山艾尚智同信息科技有限公司 | Grit particulate matter particle size detection analytic system based on image |
| 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 |
| CN115586113A (en) * | 2022-10-20 | 2023-01-10 | 华东师范大学 | Portable field gravel image acquisition device and gravel particle size and particle shape acquisition method |
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Cited By (17)
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| CN104853168A (en) * | 2015-05-25 | 2015-08-19 | 三峡大学 | Intelligent monitoring system for gravel aggregate quality |
| CN105699258A (en) * | 2016-01-28 | 2016-06-22 | 华侨大学 | Online detection device and method of fine aggregates |
| CN105699258B (en) * | 2016-01-28 | 2018-06-19 | 华侨大学 | A kind of fine aggregate on-line measuring device and method |
| CN107103602A (en) * | 2017-04-19 | 2017-08-29 | 凌美芯（北京）科技有限责任公司 | A kind of intelligent material method of counting based on computer vision technique |
| CN107941663A (en) * | 2017-11-27 | 2018-04-20 | 华侨大学 | Machine-made Sand on-line measuring device and method |
| 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 |
| CN110174334A (en) * | 2019-06-28 | 2019-08-27 | 华侨大学 | A kind of coarse aggregate quality morphology detection system and method |
| CN110174334B (en) * | 2019-06-28 | 2024-03-01 | 华侨大学 | Coarse aggregate form quality detection system and method |
| CN111595734A (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 image analysis |
| CN110879194B (en) * | 2019-12-16 | 2022-08-23 | 深圳市龙岗大工业区混凝土有限公司 | Fineness detection device of concrete aggregate |
| CN110879194A (en) * | 2019-12-16 | 2020-03-13 | 深圳市龙岗大工业区混凝土有限公司 | Fineness detection device of concrete aggregate |
| CN112284989A (en) * | 2020-10-26 | 2021-01-29 | 吉林亚泰水泥有限公司 | Coarse aggregate grain shape detection equipment and evaluation method |
| CN112284989B (en) * | 2020-10-26 | 2023-02-17 | 吉林亚泰水泥有限公司 | Coarse aggregate grain shape detection equipment and evaluation method |
| CN112528913A (en) * | 2020-12-18 | 2021-03-19 | 中山艾尚智同信息科技有限公司 | Grit particulate matter particle size detection analytic system based on image |
| 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 |
| CN115586113A (en) * | 2022-10-20 | 2023-01-10 | 华东师范大学 | Portable field gravel image acquisition device and gravel particle size and particle shape acquisition method |
| CN115586113B (en) * | 2022-10-20 | 2024-02-02 | 华东师范大学 | Portable field gravel image acquisition device and gravel granularity and shape acquisition method |
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