CN104567677A - Multi-index high-speed dynamic detection and material dividing method and device of annular sliding bearing - Google Patents
Multi-index high-speed dynamic detection and material dividing method and device of annular sliding bearing Download PDFInfo
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Abstract
The invention discloses a multi-index high-speed dynamic detection and material dividing method and device of an annular sliding bearing. According to the method, multiple indexes of the outer surface size and the inner surface coating defects of the sliding bearing are dynamically detected through machine vision, material division is carried out on workpieces according to the detection result through the color recognition technology of machine vision, and the method has the advantages of being high in detection efficiency, accurate in recognition, high in automation degree and the like. The device comprises a roller, a conveying belt, a high-definition camera, a digital control spraying device, an electric switch, a computer system and the like, wherein the high-definition camera is used for carrying out multi-index dynamic detection on the sliding bearing rotating in a fixed-axis mode, whether defects exist is recognized and material division is carried out through the high-definition camera and a limiting switch, the detecting speed is as high as 120-180 per second, the recognition accuracy is as high as 100 percent, automatic production is fully realized, and the detection cost is largely reduced.
Description
Technical field
The present invention relates to a kind of mechanical component detection technique, especially a kind of sliding bearing or axle sleeve defect detecting technique, specifically a kind of annular sliding bearing multi objective high speed detection of dynamic and distribution method and device.
Technical background
Sliding bearing is widely used in low-speed heave-load working condition, or the running position of maintaining and charging-up lubricant oil difficulty, be the important supporting of axle and other rotating member, therefore its dimensional accuracy and surface quality are directly connected to usability and the life-span of plant equipment.The detection of current sliding bearing dimensional accuracy and defect in inner surface, particularly the detection of sliding bearing inside surface mainly relies on artificial visual inspection, and the accuracy of therefore its checkability and inspection and fiduciary level all do not meet the examination requirements of multi objective in sliding bearing production run, high precision, in enormous quantities and robotization.
The method carrying out detecting for bearing at present also has the method for machinery or detection of electrons except manual detection.The such as patent No. is that the patented claim of CN102114478A proposes a kind of Full-automatic bearing detection grader, the method uses PLC master control box to control feeding, detection and hierarchy system, can the detection of achievement unit two-part bearing index, but also there is some deficiency following: 1. bearing need use interval rotating shaft cover to be pressed on Bearing testing seat and complete corresponding detection, therefore the feeding of bearing, clamping, detection and discharging all must ensure higher positional precision, accuracy requirement for control system and mechanism system is higher, adds cost; 2. because accuracy requirement is higher, feeding, step up, detect and time spent by discharging longer, detection efficiency is too low, does not meet the requirement of producing in enormous quantities; 3. the method does not have defect recognizing device, cannot complete synchronous detection and the differentiation of multi objective; 4. when detecting, bearing is static, does not belong to detection of dynamic, and testing process bearing needs constantly change station and clamping simultaneously, and testing process is discontinuous, and therefore automaticity and detection speed reduce.The such as patent No. is that the patented claim of CN103134452A proposes a kind of bearing testers again, the various external diameter data of electronic display unit to bearing, lasso are used to detect, and differentiated whether qualified by built-in module, the method can realize the detection of bearing outside diameter data, but also have some shortcoming following: 1. only can detect the external diameter data of bearing, the multi objective such as size and defect in inner surface cannot be completed and synchronously detect; 2. do not have rejecting or the feeding-distribution device of unacceptable product, automatic classification 3. detection efficiency that cannot complete certified products and unacceptable product is too low, does not meet the requirement of producing in enormous quantities.
Due to can quick obtaining bulk information, and be easy to same design information and machining control information integerated, Vision Builder for Automated Inspection has been widely used in operating condition monitoring, on-site supervision.Machine vision can be analyzed the measured target image captured, thus obtains required metrical information, and according to existing priori, judges whether measured target meets specification.The present invention makes full use of the outstanding advantage of machine vision by sliding bearing defect recognition, and multi objective synchronously detects and product sub-material combines together, forms new method and the new equipment of a kind of annular sliding bearing multi objective high speed detection of dynamic and sub-material.
The patented claim of be publication number the be CN101221134A the most close with the present invention, this application proposes a kind of method and device thereof utilizing detecting tiny bearing surface defect by computer vision technology, this patent carries out recognition detection by vision system to the external defects of micro bearing, and by rejecting structure, certified products and unacceptable product are classified, but also have the following disadvantages compared with the present invention: 1. the method only achieves the detection of external defects, the multiple determination such as sliding bearing defect in inner surface cannot be completed simultaneously; 2. do not relate to the method and apparatus utilizing machine vision to complete sub-material, not easily realize the present invention at a high speed, the process of synchronous and detection of dynamic; 3. the method is in testing process, and bearing must keep static, does not realize detection of dynamic, and feeding-detection-discharging needs special clamping tool to complete, and process is discontinuous, and detection speed is low; 4. the method needs pay-off that positional precision is higher and drawing mechanism in testing process, and detection rates is lower and installation cost is high, and not easily merges with existing bearing automatic production line; 5. the two-sided detection of the method bearing is discontinuous, needs to rotate 180o after one side has detected, and detection efficiency is extremely low, does not meet the large batch of testing requirement of sliding bearing.
The present invention makes full use of computer vision and detects fast sliding bearing defect, the detection of dynamic of the multi objective such as exterior surface dimension and defect in inner surface can be realized, need not clamping, detection speed is up to 120 ~ 180/minute, meet the requirement that sliding bearing is produced in enormous quantities, the present invention simultaneously uses machine vision to carry out quick sub-material according to defect type to product, automaticity is high, with the automatic assembly line of sliding bearing, there is high compatibility, significantly reduce the testing cost of sliding bearing.
By retrieving domestic and foreign literature, also do not find at present to use machine vision to complete multi objective high speed detection of dynamic to sliding bearing, use the colour recognition technology of machine vision to complete method and the device of product classification, the present invention proposes the method and device first simultaneously.
Summary of the invention
The object of the invention is to detect and sub-material, the problem such as detection rates is low, reliability is not enough and automaticity is poor for multi objective cannot be realized in prior art simultaneously, invent method and the device of a kind of annular sliding bearing multi objective high speed detection of dynamic and sub-material, it utilizes machine vision to carry out high speed detection of dynamic and automatic feed dividing to multiple indexs of sliding bearing simultaneously, there is structure simple, the advantage that testing cost is cheap.
One of technical scheme of the present invention is: '
A kind of annular sliding bearing multi objective high speed detection of dynamic and distribution method, it is characterized in that utilizing machine vision carry out detection of dynamic to the exterior surface dimension of sliding bearing and multiple indexs of coating on inner surface defect simultaneously and enter to divide by the Color pair defect characteristic that spraying is different, the colour recognition technology of recycling machine vision carries out sub-material to workpiece according to paint color, realizes the detection annular sliding bearing per minute under the prerequisite of non-clamping location or the target of 120 ~ 180, axle sleeve.
Concrete steps are::
First, drive roll 12 is rotated counterclockwise, sliding bearing or axle sleeve are rolled to lower position at gravity and travelling belt friction force clockwise under influence, can stop moving down and doing fixed-axis rotation under the effect of gear 26 flank of tooth when sliding bearing is in and detects station;
Secondly, camera I 4 pairs of sliding bearings or sleeve outer surface is utilized to carry out image acquisition, utilize camera II 24 pairs of sliding bearings or axle sleeve inside surface to carry out image acquisition, image taking results is all delivered to computing machine 6 and carries out graphical analysis and the exterior surface dimension information and the defect in inner surface information that obtain sliding bearing respectively simultaneously; After computing machine 6 obtains analysis result, control motor I 22 to be rotated counterclockwise the angle of setting (set angle is relevant with the number of teeth of gear 26, physical relationship is: set angle=360o/ number of teeth, such as, when the number of teeth is 5, set angle is 72o), the sliding bearing detected or axle sleeve are dialed to spray station;
3rd, computing machine 6 is according to image analysis result, if be unacceptable product, the height then controlling the different colours that numerical control spraying device 5 matches with defective classification on sliding bearing or the spraying of axle sleeve diverse location adheres to rapid-curing cutback pigment or fluorescent powder, if certified products, then do not spray, treat that next sliding bearing completes the angle of setting in detection backgear 26 another mistake hour hands spin step two as 72o, the acceptance or rejection sliding bearing in spray station or axle sleeve leave spray station to be continued to roll to lower position;
4th, when the sliding bearing after spray station process or axle sleeve are displaced downwardly to the visual field of camera III 7, camera III 7 pairs of sliding bearings or axle sleeve carry out image acquisition and carry out colour recognition, if containing during specific pigment, sliding bearing or axle sleeve assigned address show that exterior surface dimension index is defective, computing machine 6 controls electric device I 25 opening limit switch I 8 and is dialed to by sliding bearing in corresponding inaccuracy of dimensions raceway and collect, and limit switch I8 is back to original position rapidly subsequently, if sliding bearing or axle sleeve assigned address do not show exterior surface dimension qualified containing during specific pigment, continue to roll downwards in profile size qualification raceway, when moving to camera IV 9, camera IV 9 pairs of sliding bearings or axle sleeve appointed part are carried out image acquisition and carry out colour recognition, if sliding bearing or axle sleeve appointed part show inside surface defectiveness when containing specific pigment, computing machine 6 controls electric device II 31 opening limit switch II 30 and sliding bearing or axle sleeve is dialed to collection raceway corresponding to inside surface defectiveness, if sliding bearing or axle sleeve inside surface zero defect, then roll into qualified device collection container from the qualified device raceway be connected with size qualification raceway,
Repeat step one to four, the multi objective completing sliding bearing or sleeve outer surface size and defect in inner surface continuously detects and sub-material simultaneously; Detection of dynamic and sub-material is adopted to greatly improve the continuity detecting sub-material process, be convenient to automated production and greatly improve detection efficiency, detection and the sub-material of more multi objective can be realized simultaneously by increasing raceway, camera and limit switch quantity, adapting to different detection demand.
Described sliding bearing or axle sleeve are cirque structure, and its height is no more than 2 with external diameter ratio, i.e. height/overall diameter≤2.
The Testing index of described sliding bearing exterior surface dimension comprises diameter and the height of sliding bearing, and the Testing index of described coating on inner surface defect comprises the peeling off of coating on inner surface, bubble, burr and cut.
Two of technical scheme of the present invention is:
A kind of annular sliding bearing multi objective high speed detection of dynamic and feeding-distribution device, is characterized in that it comprises:
One product conveying mechanism to be checked, this product conveying mechanism to be checked comprises drive roll 12, return idler 1 and travelling belt 20, and travelling belt installs around on described drive roll 12, return idler 1, and drive roll 12 under, return idler 1 makes travelling belt tilted configuration upper;
One feeding device 2, it is arranged on one end of close return idler above travelling belt 2, enters successively in sense channel for making product to be detected;
One gear 26, this gear 26 is arranged on travelling belt top, does not move down and does original place rotate to complete the image capture of physical dimension and defect in inner surface for making the product to be detected rolling between cog from sense channel within the time of setting; This gear 26 can rotate corresponding angle by the productive temp of setting under the control of stepper motor I22;
One physical dimension picked-up camera I4, the physical dimension data that scan picture obtains product to be detected are carried out for carrying out image capture to the physical dimension of product to be detected and sending in computing machine in the top that it is arranged on described gear 6;
One inherent vice picked-up camera II24, the internal soundness testing result that scan picture obtains product to be detected is carried out for carrying out image capture to the inside of product to be detected and sending in computing machine in the side being arranged on gear 6;
One numerical control spraying device 5, this numerical control spraying device 5 is arranged on gear bottom for carrying out color mark so that next step sorting according to the defective classification of processing result image to the product underproof to be detected after detection;
One physical dimension sorting camera III7, it is for the color absorbed through the product correspondence position of spray station and send into computing machine 6 and carry out differentiating that whether the physical dimension of product is qualified, if physical dimension is certified products, the position that then product continues to go downwards to inherent vice sorting camera 9 identifies further, if be unacceptable product, then unacceptable product imports in physical dimension unacceptable product passage by the limit switch I8 action that computing machine 6 controls to be arranged on descending raceway side to be collected;
One inherent vice sorting camera 9, to through physical dimension sorting camera III7, it is for differentiating that qualified product carries out inherent vice differentiation, it is by the color mark of picked-up interiors of products defect correspondence position and send into computing machine whether carry out processing the inside surface drawing product qualified, the product of inner existing defects is imported in corresponding collection channel by the unacceptable product limit switch II30 action that then computing machine 6 controls to be arranged on descending raceway side immediately and is collected, the product that inside surface is qualified is then direct to be entered certified products collection container or by being collected for certified products container in corresponding electric control gear feeding certified products passage from down going channel.
Described travelling belt 20 angle of inclination is 30 ~ 50o.
The shooting speed 20 ~ 40/second of described camera I, II, III, IV 4,24,7,9, and automatic light source system.
Described computing machine 6 counts according to the substandard product of testing result to each index, and calculates the qualification rate of product according to total testing product number.
Described down going channel, physical dimension unacceptable product passage and inherent vice passage are all arranged on travelling belt 20 upper surface by corresponding mounting bracket does not contact with travelling belt 20, and both are at a distance of 5-8 millimeter.
Described.
The invention has the beneficial effects as follows:
1. the present invention utilizes gear to adopt many group high definition cameras to carry out detection of dynamic to the exterior surface dimension of sliding bearing and multiple indexs of coating on inner surface defect at single station simultaneously, save that workpiece is located repeatedly, clamping and the time needed for motion, detection efficiency is higher.
2. utilize the conveyer structure of inclination, ensure that the continuity of feeding process, testing process and sub-material process, improve detection and sub-material speed, meet the large batch of production requirement of sliding bearing.
3. except by machine vision applications except testing process, the colour recognition technology of machine vision is also utilized to carry out sub-material according to the testing result of different index, all Vision Builder for Automated Inspection is adopted with sub-material owing to detecting, not only ensure that the amalgamation of control system, also greatly reduce the reaction time of control system in sub-material process, detection and the sub-material of more multi objective can be realized simultaneously by increasing raceway, camera and limit switch quantity, adapting to different detection demand.。
4. structure is simple, and with low cost, automaticity is high, has high compatibility with the automatic production line of existing sliding bearing.
Accompanying drawing explanation
Fig. 1 is structural representation of the present invention.
Fig. 2 is the plan structure schematic diagram of Fig. 1.。
Fig. 3 is the annular sliding bearing three-dimensional structure schematic diagram of the embodiment of the present invention.
In figure, 1. follower rollers, 2. feeding device, 3. sliding bearing, 4. camera I, 5. numerical control spraying device, 6. computing machine, 7. camera III, 8. limit switch I, 9. camera IV, 10. suspension bracket, 11. raceways, 12. drive rolls, 13. low trestles, 14. crossbeams, 15. tripods, 16. medium-height trestles, 17. bases, 18. studs, 19. high trestles, 20. travelling belts, 21. shaft couplings I, 22. motors I, 23. deep groove ball bearings, 24. cameras II, 25. electric devices I, 26. gears, 27. motors II, 28. shaft couplings II, 29. limit switches II, 30. electric devices II.
Specific embodiment
Below in conjunction with drawings and Examples, the present invention is further illustrated.
embodiment one.
As Figure 1-3.
Below with INA-K06 type sliding bearing ratio of height to diameter=0.6, meeting the condition being not more than 2 is example, describes in detail to peel off outer surface diameter, height and coating on inner surface to carry out product inspection method, and amount detection is 50000.
A method for annular sliding bearing multi objective high speed detection of dynamic and sub-material, it comprises the following steps:
First, drive roll 12 is rotated counterclockwise, sliding bearing or axle sleeve are rolled to lower position at gravity and travelling belt friction force clockwise under influence, can stop moving down and doing fixed-axis rotation under the effect of gear 26 flank of tooth when sliding bearing is in and detects station;
Secondly, camera I 4 pairs of sliding bearings or sleeve outer surface is utilized to carry out image acquisition, utilize camera II 24 pairs of sliding bearings or axle sleeve inside surface to carry out image acquisition, image taking results is all delivered to computing machine 6 and carries out graphical analysis and the exterior surface dimension information and the defect in inner surface information that obtain sliding bearing respectively simultaneously; After computing machine 6 obtains analysis result, control motor I 22 be rotated counterclockwise set angle (due to adopt the number of teeth be 5 gear 26, therefore set angle is 72 o), and the sliding bearing detected or axle sleeve are dialed to spray station;
3rd, computing machine 6 is according to image analysis result, if be unacceptable product, the height then controlling the different colours that numerical control spraying device 5 matches with defective classification on sliding bearing or the spraying of axle sleeve diverse location adheres to rapid-curing cutback pigment or fluorescent powder, if certified products, then do not spray, treat that next sliding bearing completes detection backgear 26 and is rotated counterclockwise 72o again, the acceptance or rejection sliding bearing in spray station or axle sleeve leave spray station to be continued to roll to lower position;
4th, when the sliding bearing after spray station process or axle sleeve are displaced downwardly to the visual field of camera III 7, camera III 7 pairs of sliding bearings or axle sleeve carry out image acquisition and carry out colour recognition, if containing during specific pigment, sliding bearing or axle sleeve assigned address show that exterior surface dimension index is defective, computing machine 6 controls electric device I 25 opening limit switch I 8 and is dialed to by sliding bearing in corresponding inaccuracy of dimensions raceway and collect, and limit switch I8 is back to original position rapidly subsequently, if sliding bearing or axle sleeve assigned address do not show exterior surface dimension qualified containing during specific pigment, continue to roll downwards in profile size qualification raceway, when moving to camera IV 9, camera IV 9 pairs of sliding bearings or axle sleeve appointed part are carried out image acquisition and carry out colour recognition, if sliding bearing or axle sleeve appointed part show inside surface defectiveness when containing specific pigment, computing machine 6 controls electric device II 31 opening limit switch II 30 and sliding bearing or axle sleeve is dialed to collection raceway corresponding to inside surface defectiveness, if sliding bearing or axle sleeve inside surface zero defect, then roll into qualified device collection container from the qualified device raceway be connected with size qualification raceway,
Repeat step one to four, the multi objective completing sliding bearing or sleeve outer surface size and defect in inner surface continuously detects and sub-material simultaneously; Detection of dynamic and sub-material is adopted to greatly improve the continuity detecting sub-material process, be convenient to automated production and greatly improve detection efficiency, detection and the sub-material of more multi objective can be realized simultaneously by increasing raceway, camera and limit switch quantity, adapting to different detection demand.
The travelling belt angle of inclination that the present embodiment uses for 30o is between 30-50 degree, the highest shooting speed of camera be 30/second (between 20-40 open/between second).
After testing, the sliding bearing of 50000 batches uses this method to detect 36.5 minutes consuming time, and single workman has detected nearly 70 hours of need, therefore the inventive method detection speed is up to 137/minute, defects detection and sub-material accuracy are up to 100%, and the whole robotization of feeding, detection and sub-material, has high compatibility with the automatic production line of existing sliding bearing.Computing machine 6 counts according to the substandard product of testing result to each index, and can calculate the qualification rate of product according to total testing product number.
The present invention utilizes machine vision multiple indexs of the exterior surface dimension of sliding bearing and coating on inner surface defect (peel off, bubble, burr and cut) are carried out to detection of dynamic and entered to divide by the Color pair defect characteristic that spraying is different simultaneously in sum, the colour recognition technology of recycling machine vision carries out sub-material to workpiece according to paint color, realizes the detection annular sliding bearing per minute under the prerequisite of non-clamping location or the target of 120 ~ 180, axle sleeve.
embodiment two.
As Figure 1-3.
The device of a kind of annular sliding bearing multi objective high speed detection of dynamic and sub-material, driving and driven cylinder 12,1 is arranged on base 17 by high, medium and low support 19,16,13, support 19,16, adopt stud 18 to be connected between 13 with base, driving and driven cylinder 1,12 central shaft and high and low support 19,13 adopt deep groove ball bearing to fix respectively, as shown in Figure 1; Be connected with electric motor I I27 by shaft coupling 28 on the right side of drive roll 12, as shown in Figure 2; Driving and driven cylinder 12,1 keeps a determining deviation by crossbeam 14, and centre arranges travelling belt 20, and the inclination angle of travelling belt can be set between 30-50 degree; Feeding device 2 and raceway I II III 11 are fixed on crossbeam 14 by additional body, and keep 5 ~ 8 mm spacing with travelling belt 20 upper surface, arrange the limit switch I, II 8,30 and electric device I, II 25,31 being used for sub-material in raceway I; In the middle of raceway I, the gear 26 being used for limit slippage Bearing testing station is set simultaneously, as Fig. 2, gear shaft is fixed on crossbeam 14 by A-frame 15, is connected on the right side of gear shaft by shaft coupling 21 with motor I 22, adopts rolling bearing 23 to fix between gear shaft and tripod 15; Gear 26 is by adjacent two gear teeth for sliding bearing provides two stations, and the station that wherein level height is higher is for detecting station, and the station that horizontal level is lower is spray station; Gear 26 axle is fixed on crossbeam 14 by A-frame 15, and the two ends of crossbeam 14 are connected with the mounting bracket of return idler with active roller respectively; Described camera I, II, III, IV 4,24,7,9 is arranged on suspension bracket 10, and suspension bracket 10 is arranged on crossbeam 14.Camera I 4 is set above detection station, camera II 24 is set on the right side of it, be respectively used to detect sliding bearing exterior surface dimension and defect in inner surface; Numerical control spraying device 5 is set above spray station, and camera III 7 and camera IV 9 are set respectively above the limit switch I II 8,30 of raceway I, respectively color is set thus defect type is distinguished, camera I, II, III, IV 4,24,7,9 is connected with suspension bracket 10 respectively by support, and suspension bracket 10 is fixed on crossbeam 14 by stud; Finally adopt data line by camera I, II, III, IV 4,24,7,9, numerical control spraying device 5, electric device I, II 25,31 and motor I, II 22,27 be connected with computing machine 6, realization controls automatically.
The course of work of the present invention is: drive roll 12 is rotated counterclockwise, sliding bearing (shown in Fig. 3) is rolled to lower position at gravity and travelling belt friction force clockwise under influence, can stop moving down and doing fixed-axis rotation under the effect of gear 26 flank of tooth when sliding bearing is in and detects station, now camera I 4 pairs of sliding bearing outside surfaces carry out image acquisition, camera II 24 pairs of sliding bearing inside surfaces carry out image acquisition simultaneously, image taking results is all delivered to computing machine 6 and carries out graphical analysis and the exterior surface dimension information and the defect in inner surface information that obtain sliding bearing respectively.After computing machine 6 obtains analysis result, control motor I 22 and be rotated counterclockwise 72o, the sliding bearing detected is dialed to spray station, computing machine 6 controls the height attachment rapid-curing cutback pigment of numerical control spraying device 5 different colours in the spraying of defective sliding bearing diverse location or fluorescent powder to distinguish defective classification according to image analysis result, treat that next sliding bearing completes detection backgear 26 and is rotated counterclockwise 72o again, the sliding bearing of spray station leaves former station to be continued to roll to lower position, when moving to the visual field of camera III 7, camera III 7 pairs of sliding bearings carry out image acquisition and carry out colour recognition, if containing during specific pigment, sliding bearing assigned address shows that exterior surface dimension index is defective, computing machine 6 controls electric device I 25 opening limit switch I 8 and sliding bearing is dialed to raceway II, limit switch 8 is back to original position rapidly subsequently, if sliding bearing assigned address does not show exterior surface dimension qualified containing during specific pigment, continue to roll downwards in raceway I, when moving to camera IV 9, camera IV 9 pairs of sliding bearings carry out image acquisition and carry out colour recognition, if unidentified to the defective color of sliding bearing inside surface at assigned address, be then inside surface certified products, sliding bearing is then collected into specified containers from raceway I, if absorb at assigned address and characterize the defective color of sliding bearing inside surface, then computing machine 6 controls electric device II 31 opening limit switch II 30 and sliding bearing is dialed to raceway III, so repeat to complete continuously while sliding bearing outer surface diameter/height and coating on inner surface peel off index and detect and sub-material.
The part that the present invention does not relate to prior art that maybe can adopt all same as the prior art is realized.
Claims (10)
1. an annular sliding bearing multi objective high speed detection of dynamic and distribution method, it is characterized in that utilizing machine vision carry out detection of dynamic to the exterior surface dimension of sliding bearing and multiple indexs of coating on inner surface defect simultaneously and enter to divide by the Color pair defect characteristic that spraying is different, the colour recognition technology of recycling machine vision carries out sub-material to workpiece according to paint color, realizes the detection annular sliding bearing per minute under the prerequisite of non-clamping location or the target of 120 ~ 180, axle sleeve.
2. the method for claim 1, is characterized in that it comprises the following steps:
First, drive roll (12) is rotated counterclockwise, sliding bearing or axle sleeve are rolled to lower position at gravity and travelling belt friction force clockwise under influence, can stop moving down and doing fixed-axis rotation under gear (26) flank of tooth effect when sliding bearing is in and detects station;
Secondly, camera I (4) is utilized to carry out image acquisition to sliding bearing or sleeve outer surface, utilize camera II (24) to carry out image acquisition to sliding bearing or axle sleeve inside surface, image taking results is all delivered to computing machine (6) and carries out graphical analysis and the exterior surface dimension information and the defect in inner surface information that obtain sliding bearing respectively simultaneously; After computing machine (6) obtains analysis result, control motor I (22) to be rotated counterclockwise the angle of setting (set angle is relevant with the number of teeth of gear 26, physical relationship is: set angle=360o/ number of teeth, such as, when the number of teeth is 5, set angle is 72o), the sliding bearing detected or axle sleeve are dialed to spray station;
3rd, computing machine (6) is according to image analysis result, if be unacceptable product, the height then controlling the different colours that numerical control spraying device (5) matches with defective classification on sliding bearing or the spraying of axle sleeve diverse location adheres to rapid-curing cutback pigment or fluorescent powder, if certified products, then do not spray, treat that next sliding bearing completes the angle (such as 72o) detecting setting in backgear (26) another mistake hour hands spin step two, the acceptance or rejection sliding bearing in spray station or axle sleeve leave spray station to be continued to roll to lower position;
4th, when the sliding bearing after spray station process or axle sleeve are displaced downwardly to the visual field of camera III (7), camera III (7) carries out image acquisition to sliding bearing or axle sleeve and carries out colour recognition, if containing during specific pigment, sliding bearing or axle sleeve assigned address show that exterior surface dimension index is defective, sliding bearing dials in corresponding inaccuracy of dimensions raceway and collects by computing machine (6) control electric device I (25) opening limit switch I (8), limit switch I(8 subsequently) be back to original position rapidly, if sliding bearing or axle sleeve assigned address do not show exterior surface dimension qualified containing during specific pigment, continue to roll downwards in profile size qualification raceway, when moving to camera IV (9), camera IV (9) carries out image acquisition to sliding bearing or axle sleeve appointed part and carries out colour recognition, if sliding bearing or axle sleeve appointed part show inside surface defectiveness when containing specific pigment, computing machine (6) controls electric device II (31) opening limit switch II (30) and sliding bearing or axle sleeve is dialed to collection raceway corresponding to inside surface defectiveness, if sliding bearing or axle sleeve inside surface zero defect, then roll into qualified device collection container from the qualified device raceway be connected with size qualification raceway,
Repeat step one to four, the multi objective completing sliding bearing or sleeve outer surface size and defect in inner surface continuously detects and sub-material simultaneously; Detection of dynamic and sub-material is adopted to greatly improve the continuity detecting sub-material process, be convenient to automated production and greatly improve detection efficiency, detection and the sub-material of more multi objective can be realized simultaneously by increasing raceway, camera and limit switch quantity, adapting to different detection demand.
3. method as claimed in claim 1 or 2, it is characterized in that described sliding bearing or axle sleeve are cirque structure, its height is no more than 2 with external diameter ratio, i.e. height/overall diameter≤2.
4. method as claimed in claim 1 or 2, it is characterized in that the Testing index of described sliding bearing exterior surface dimension comprises diameter and the height of sliding bearing, the Testing index of described coating on inner surface defect comprises the peeling off of coating on inner surface, bubble, burr and cut.
5. annular sliding bearing multi objective high speed detection of dynamic and a feeding-distribution device, is characterized in that it comprises:
One product conveying mechanism to be checked, this product conveying mechanism to be checked comprises drive roll (12), return idler (1) and travelling belt (20), travelling belt installs around on described drive roll (12), return idler (1), and drive roll (12) under, return idler (1) makes travelling belt tilted configuration upper;
One feeding device (2), it is arranged on travelling belt (2) top on one end of return idler, enters successively in sense channel for making product to be detected;
One gear (26), this gear (26) is arranged on travelling belt top, does not move down and does original place rotate to complete the image capture of physical dimension and defect in inner surface for making the product to be detected rolling between cog from sense channel within the time of setting; This gear (26) can at stepper motor I(22) control under rotate corresponding angle by the productive temp of setting;
One physical dimension picked-up camera I(4), the top that it is arranged on described gear (6) is used for carrying out image capture and send in computing machine carrying out the physical dimension data that scan picture obtains product to be detected to the physical dimension of product to be detected;
One inherent vice picked-up camera II(24), the side being arranged on gear (6) is used for carrying out image capture and send in computing machine carrying out the internal soundness testing result that scan picture obtains product to be detected to the inside of product to be detected;
One numerical control spraying device (5), this numerical control spraying device (5) is arranged on gear bottom for carrying out color mark so that next step sorting according to the defective classification of processing result image to the product underproof to be detected after detection;
One physical dimension sorting camera III(7), it is for the color absorbed through the product correspondence position of spray station and send into computing machine (6) and carry out differentiating that whether the physical dimension of product is qualified, if physical dimension is certified products, the position that then product continues to go downwards to inherent vice sorting camera (9) identifies further, if be unacceptable product, then computing machine (6) controls to be arranged on the limit switch I(8 of descending raceway side) unacceptable product imports in physical dimension unacceptable product passage and collected by action;
One inherent vice sorting camera (9), it is for sorting camera III(7 to through physical dimension) differentiate that qualified product carries out inherent vice differentiation, it is by the color mark of picked-up interiors of products defect correspondence position and send into computing machine whether carry out processing the inside surface drawing product qualified, to unacceptable product then computing machine (6) control the limit switch II(30 being arranged on descending raceway side immediately) product of inner existing defects to import in corresponding collection channel and collected by action, the product that inside surface is qualified is then direct to be entered certified products collection container or by being collected for certified products container in corresponding electric control gear feeding certified products passage from down going channel.
6. device as claimed in claim 5, is characterized in that travelling belt (20) angle of inclination is 30 ~ 50o.
7. device as claimed in claim 5, the shooting speed 20 ~ 40/second of the camera I, II, III, IV (4,24,7,9) described in its feature, and automatic light source system.
8. device as claimed in claim 5, is characterized in that computing machine (6) counts according to the substandard product of testing result to each index, and calculates the qualification rate of product according to total testing product number.
9. device as claimed in claim 5, it is characterized in that on described down going channel, physical dimension unacceptable product passage and inherent vice passage are all arranged on travelling belt (20) upper surface by corresponding mounting bracket and not contact with travelling belt (20), both are at a distance of 5-8 millimeter.
10. device as claimed in claim 5, it is characterized in that described gear (26) axle is fixed on crossbeam (14) by A-frame (15), the two ends of crossbeam (14) are connected with the mounting bracket of return idler with active roller respectively; Described camera I, II, III, IV (4,24,7,9) is arranged on suspension bracket (10), and suspension bracket (10) is arranged on crossbeam (14).
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101363803A (en) * | 2008-09-25 | 2009-02-11 | 张琳 | Hub detection device |
| CN101995407A (en) * | 2009-08-14 | 2011-03-30 | 中国印钞造币总公司 | On-line bank note paper flaw marking system |
| CN202548064U (en) * | 2012-03-05 | 2012-11-21 | 广东省科学院自动化工程研制中心 | Online copper pipe ink mark detection device based on machine vision |
| CN203316406U (en) * | 2013-05-30 | 2013-12-04 | 宁夏大学 | Automatic jujube nondestructive grading machine based on machine vision technology |
| US20140132755A1 (en) * | 2004-03-04 | 2014-05-15 | Cybernet Systems Corporation | Portable composable machine vision system for identifying projectiles |
| CN104089960A (en) * | 2014-07-15 | 2014-10-08 | 长春理工大学 | Device and method for detecting defects on surface of conical bearing roller |
-
2015
- 2015-01-05 CN CN201510001221.5A patent/CN104567677B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140132755A1 (en) * | 2004-03-04 | 2014-05-15 | Cybernet Systems Corporation | Portable composable machine vision system for identifying projectiles |
| CN101363803A (en) * | 2008-09-25 | 2009-02-11 | 张琳 | Hub detection device |
| CN101995407A (en) * | 2009-08-14 | 2011-03-30 | 中国印钞造币总公司 | On-line bank note paper flaw marking system |
| CN202548064U (en) * | 2012-03-05 | 2012-11-21 | 广东省科学院自动化工程研制中心 | Online copper pipe ink mark detection device based on machine vision |
| CN203316406U (en) * | 2013-05-30 | 2013-12-04 | 宁夏大学 | Automatic jujube nondestructive grading machine based on machine vision technology |
| CN104089960A (en) * | 2014-07-15 | 2014-10-08 | 长春理工大学 | Device and method for detecting defects on surface of conical bearing roller |
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