CN102636110B - Reference detecting device of automatic drilling and riveting system of airplane components and detecting method thereof - Google Patents

Reference detecting device of automatic drilling and riveting system of airplane components and detecting method thereof Download PDF

Info

Publication number
CN102636110B
CN102636110B CN201210081079.6A CN201210081079A CN102636110B CN 102636110 B CN102636110 B CN 102636110B CN 201210081079 A CN201210081079 A CN 201210081079A CN 102636110 B CN102636110 B CN 102636110B
Authority
CN
China
Prior art keywords
coordinate
datum hole
plane
laser displacement
displacement sensor
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
Application number
CN201210081079.6A
Other languages
Chinese (zh)
Other versions
CN102636110A (en
Inventor
田威
廖文和
贺美华
沈建新
周炜
曾远帆
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jiangsu Hangding Intelligent Equipment Co Ltd
Original Assignee
Nanjing University of Aeronautics and Astronautics
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Nanjing University of Aeronautics and Astronautics filed Critical Nanjing University of Aeronautics and Astronautics
Priority to CN201210081079.6A priority Critical patent/CN102636110B/en
Publication of CN102636110A publication Critical patent/CN102636110A/en
Application granted granted Critical
Publication of CN102636110B publication Critical patent/CN102636110B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Length Measuring Devices By Optical Means (AREA)

Abstract

The invention relates to a reference detecting device of an automatic drilling and riveting system of airplane components and a detecting method thereof. The detecting method comprises the following steps of: acquiring information of a reference profile by a 2D laser displacement sensor and a distance sensor, establishing a parameter space of a reference hole center coordinate by applying a least square method, then realizing transformation from a reference hole boundary space domain to the reference hole center coordinate by applying generalized Hough transformation, fitting and calculating a reference center position, and realizing detection of an actual position of the reference, thus realizing determination of the actual position for the processing reference of the automatic drilling and riveting system so as to determine the deviation between the theoretical position and the actual position of the reference. The positions of points to be preprocessed on a product are compensated and corrected, so that the manufacture and installation errors are eliminated, and the drilling and riveting accuracy is increased; and the detecting method is simple, the solving speed is high and the online detection of the reference can be realized.

Description

The benchmaring device of aircraft components automatic Drilling/Riveting system and detection method thereof
Technical field
The present invention relates to a kind of benchmaring device and detection method thereof of boring riveting system, specifically a kind of benchmaring device for aircraft components automatic Drilling/Riveting system and benchmaring method thereof.
Background technology
At present, manufacture field in Aero-Space, the application of aircraft flexible assembly technology has become the mainstream development trend of domestic and international aircraft industry Digitized manufacturing.Due in current aircraft structure assembling process based on mechanical connection, mechanical connection has brought a large amount of drilling problem, just must solve an accurate hole fabrication techniques difficult problem to meet aircraft long life requirement, therefore the accurate hole fabrication techniques of robot becomes an important application and the research direction of aircraft flexible assembly technology.
Investigation and application abroad about robot automatic punching technology is quite ripe: Electroimpact company of the U.S. and Air Passenger company of the Britain co-design automatic drilling system of a set of robot (O.N.C.E), is mainly used in boring and the spot-facing of the wing trailing edge flaps of Boeing F/A-18E/F; EOA company of the U.S. and the Boeing's joint research and development multi-functional drilling system of a kind of robot (EOA), can complete the boring to aircraft skins such as titanium alloy, aluminium alloy, compound substance and laminations, spot-facing and fraising work; Novator company of Sweden develops the multi-functional drilling system of a set of robot (Orbital E-D100) according to Orbital drill bit patented technology.The large-sized gantry formula hole-drilling system (JGADS) of Lockheed Martin Corporation F-35 aircraft carbon fiber epoxy composite wing wainscot drilling represents the direction of robot hole technology forefront application.Domestic Aircraft assembling field remains in larger gap compared with aeronautical technology advanced country, is in the starting stage, therefore needs to greatly develop the R&D and production demand with satisfied aircraft of new generation to the automatic Drilling/Riveting systematic research of robot.
Based in the automatic Drilling/Riveting system of industrial robot, bore riveting process and need realize industrial robot, data conversion between end effector and product, but due to the impact of type frame manufacture and the factor such as alignment error, Product processing rigging error, often also need appointment benchmark at processed product, the benchmark before processing first in measurement products.The precision of brill riveting depends on the measuring accuracy to product benchmark to a great extent.Namely benchmaring is the position determining reference on product, so as with the comparing of theoretical principle, and to be compensated by certain method, thus eliminated making and installation error, improve and bore riveting precision.
Document " Zhang Jianjian; Zhu Di; Li Hansong. based on small group hole rapid detection system [J] of digital image processing techniques. sensor and micro-system; 2009 (6); 73-79. " a kind of detection method based on digital image processing techniques is proposed, realize the detection of small group's hole workpiece fast speed non-contact.The method, just to throw the mode of backlight, adopts cmos sensor to connect the image of the method shooting test specimen of micro-lens, and gathered image information is inputted computing machine automatically.Computing machine first carries out Image semantic classification to it, then extracts group hole on framework, adopts each aperture of pattern matching algorithm identification, obtains the information such as the diameter of each aperture and circularity with minimum area method one by one.Concrete steps are as follows:
Step 1): Image semantic classification.
Image semantic classification comprises: 1. gradation of image process, is converted into grayscale format by picture format, simplified image data; 2. Edge contrast, adopts Laplace operator, image outline information is strengthened; 3. denoising, adopts median filtering method, suppressor pulse interference preferably and verification noise, and effectively can protect image outline 4. Threshold segmentation, is come in group hole, and be binary image by greyscale image transitions to picture and background segment.
Step 2): group hole identifies.
Group hole identifies that comprising group hole on framework extracts and group's hole on framework identification two parts.The center of the skeleton finger-hole in hole.
The flow process that group's hole on framework extracts is: 1. each hole is generated border to picture, and indicate these frontier points; 2. check that each hole is to picture, if hole is to there being a non-frontier point in picture, then remove all frontier points of this hole to picture, otherwise, indicate that this some holes frontier point is interim centre point, the interim centre point of same hole to picture takes Unified number, and these interim centre points are the skeleton of this hole to picture, and skeletal extraction completes; 3. repeat 1. 2. two steps, by constantly removing the new border of hole to picture, shrinkage cavity to picture to each hole to picture, skeletal extraction completes.
The identification of group's hole on framework adopts pattern matching algorithm, and its specific rules is as follows: 1. each hole can not more than 7 pixels to the skeleton of picture; 2. each hole must be communicated with the skeleton of picture, otherwise, deleted; 3. setting hole is to the maxima and minima of picture radius, rejects the incongruent aperture of radius to picture.
Step 3): step 2) in pattern matching algorithm can identify little hole on framework fast, determine that its corresponding aperture is to picture from little hole on framework.For satisfactory aperture to picture, ask for its interim centre point coordinate mean value, obtain the central coordinate of circle of this aperture to picture.Determined the scope of each aperture by the center of circle of each aperture and radius, adopt minimum area method to calculate diameter, the circularity of each aperture one by one with single aperture image detecting method.
Although the maximum metrical error of said method is no more than 0.01mm, meet the requirement that small group hole is detected fast, and, also can be applied to other requires efficient, non-contacting occasion, but the internal memory taking system due to image procossing is large, the speed of image transmitting and process is slow, is unfavorable for the on-line checkingi of benchmark.
Summary of the invention
The present invention is directed to the deficiency of the problems referred to above, propose one and can eliminate making and installation error, riveting precision is bored in raising and its detection method is simple, solving speed is fast, can realize benchmaring device and the detection method thereof of the aircraft components automatic Drilling/Riveting system of benchmark on-line checkingi.
The present invention is the technical scheme solving the problems of the technologies described above proposition: a kind of benchmaring device of aircraft components automatic Drilling/Riveting system, the detection of the benchmark physical location of four datum holes on product, these four datum holes are positioned at same plane or almost plane, comprise processor, the controller of 2D laser displacement sensor, the controller of linear actuator and pedestal, described pedestal is provided with slide block guide rail and linear actuator, described slide block guide rail slidably connects web joint, and linear actuator is connected with web joint, slide on slide block guide rail for making web joint, described web joint is provided with 2D laser displacement sensor and range sensor, described processor is by the two-dimensional coordinate of the controller control 2D laser displacement sensor scanning survey baseline profile unique point of 2D laser displacement sensor, described processor controls linear actuator moving linearly by the controller of linear actuator, and described range sensor is for measuring the amount of movement of slide block guide rail, described processor process, from the measured value of 2D laser displacement sensor and range sensor, realizes benchmaring.
Based on the detection method of the benchmaring device of a kind of aircraft components automatic Drilling/Riveting system described above, comprise the following steps: the first step, definition basis coordinates system A-XYZ, true origin is space any point A, horizontal direction is X-axis, vertical direction is Z axis, and Y-axis is the direction that right-handed coordinate system specifies; Definition 2D laser displacement sensor coordinate is S-XYZ, 2D laser displacement sensor inner laser bundle eye point is true origin S, 2D laser displacement sensor inner laser bundle is X-axis through the direction of the striation that cylindrical objective lens dispersion is formed, with laser emitting direction for Z axis, Y-axis is the direction of the regulation meeting right-handed coordinate system, and this 2D laser displacement sensor coordinate system is referred to as sensor coordinate system; Definition datum hole plane coordinate system O-XYZ, so that in the plane of datum hole place, any point is for true origin O, orthogonal in the plane two straight lines of datum hole are X, Y-axis, datum hole planar process is to being Z axis, and described datum hole place plane is datum hole plane or is reference plane; First by demarcating 2D laser displacement sensor scanning initial coordinate system S before benchmaring 0-XYZ is relative to the rotation matrix R of basis coordinates system A-XYZ and sensor coordinate system origin coordinates initial point thereof the coordinate in basis coordinates system , and determine the direction of scanning angle (α, beta, gamma) of 2D laser displacement sensor in basis coordinates system, thus determine the transformational relation of sensor coordinate system and basis coordinates system, and the transformational relation of sensor coordinate system and basis coordinates system is unique; And then determine that datum hole planimetric coordinates is tied to the rotation matrix of basis coordinates system, thus determine the transformational relation of datum hole plane coordinate system and basis coordinates system.
Second step, starts 2D laser displacement sensor by the controller of 2D laser displacement sensor, and measure the two-dimensional coordinate of scanning initial position baseline profile unique point, this two-dimensional coordinate is the coordinate in sensor coordinate system XZ plane;
3rd step, linear actuator is started by the controller starting linear actuator, 2D laser displacement sensor is made to do rectilinear scanning motion, measure the two-dimensional coordinate of baseline profile unique point on direction of scanning simultaneously, this two-dimensional coordinate is the coordinate in sensor coordinate system XZ plane, and the amount of movement of slide block guide rail measured by range sensor, and be entered in processor;
4th step, according to the two-dimensional coordinate of baseline profile unique point in sensor coordinate system XZ plane and the amount of movement of range sensor measurement slide block guide rail, by the transformational relation of sensor coordinate system and basis coordinates system, calculate the three-dimensional coordinate that baseline profile unique point is fastened in basis coordinates;
5th step, by the three-dimensional coordinate that datum hole contour feature point is fastened in basis coordinates, is converted to the two-dimensional coordinate in the XY plane of datum hole plane coordinate system through coordinate transform;
6th step, according to the two-dimensional coordinate of baseline profile unique point in datum hole plane coordinate system XY plane, the parameter space first by using least square method to set up datum hole centre coordinate; Then use Generalized Hough Transform to realize the conversion of datum hole boundary space territory to the parameter space of datum hole centre coordinate, realize datum hole centre coordinate and estimate; Finally the two-dimensional coordinate of this datum hole center in datum hole plane coordinate system XY plane is reversed the three-dimensional coordinate for fastening in basis coordinates.
Preferred: the method that described utilization least square method sets up the parameter space of datum hole centre coordinate is: first, the two-dimensional coordinate that described datum hole contour feature point is fastened at datum hole planimetric coordinates is numbered, forms point set (x i, y i), i=1 ~ n;
Secondly; To datum hole boundary space territory (x i, y i), i=1 ~ n, chooses t point of spatial domain according to certain intervals, use the coordinate of Least Square Method datum hole, draw datum hole coordinate (u, v) estimated value is:
Preferred again: described Generalized Hough Transform realizes datum hole boundary space territory and to the method for the conversion of the parameter space of datum hole centre coordinate is: first ask benchmark boundary space (x i, y i) to the error of datum hole centre coordinate parameter space:
An error range δ is set, compares with the size of δ;
Secondly, one 2 dimension totalizer is set up , when time, totalizer adds 1;
Finally, compare the value of totalizer, when getting maximum value, (u k, v k) be the datum hole centre coordinate estimated.
Preferred again: described 2D laser displacement sensor coordinate system S-XYZ, in the detection campaign in step 2, step 3 or local motion process, motion state is unique, and the transformational relation of described sensor coordinate system and basis coordinates system is unique.
The benchmaring method of aircraft components automatic Drilling/Riveting system of the present invention, compared to existing technology, there is following beneficial effect: owing to being obtained the information of baseline profile by 2D laser displacement sensor and range sensor, by the parameter space using least square method to set up datum hole centre coordinate, then Generalized Hough Transform is used to realize the conversion of datum hole boundary space territory to the parameter space of datum hole centre coordinate, matching also calculates reference center position, realize the detection of benchmark physical location, therefore the determination of the physical location to automatic Drilling/Riveting system machining benchmark is realized, to determine the deviation of benchmark theoretical position and physical location, to the position compensating approach in addition of preprocessing point on product, thus making and installation error is eliminated, improve and bore riveting precision, and its detection method is simple, solving speed is fast, benchmark on-line checkingi can be realized, benchmaring device of the present invention is independently measured simultaneously, accuracy of detection and automatic Drilling/Riveting system performance element absolute fix precision have nothing to do, the high precision test of benchmark can be realized, and the technical requirement accuracy of detection of the machining benchmark of automatic Drilling/Riveting system being reached to 0.05mm can be realized.
Accompanying drawing explanation
Fig. 1 is a kind of benchmaring apparatus structure schematic diagram for aircraft components automatic Drilling/Riveting system of the present invention;
Fig. 2 is the detection method schematic diagram of Fig. 1;
Wherein: 1-2D laser displacement sensor, 2-web joint, 3-slide block guide rail, 4-range sensor, 5-linear actuator, 6-pedestal, the controller of 7-2D laser displacement sensor, the controller of 8-linear actuator, 9-processor.
Embodiment
Accompanying drawing discloses the structural representation of a preferred embodiment of the invention without limitation, explains technical scheme of the present invention below with reference to accompanying drawing.
Embodiment
As shown in Figure 1, a kind of benchmaring device of aircraft components automatic Drilling/Riveting system, the detection of the benchmark physical location of four datum holes on product, these four datum holes are positioned at same plane or almost plane, comprise processor 9, the controller 7 of 2D laser displacement sensor, the controller 8 of linear actuator and pedestal 6, described pedestal 6 is provided with slide block guide rail 3 and linear actuator 5, described slide block guide rail slip 3 is connected with web joint 2, and linear actuator 5 is connected with web joint 2, slide on slide block guide rail 3 for making web joint 2; Described web joint 2 is provided with 2D laser displacement sensor 1 and range sensor 4, described processor 9 is by the two-dimensional coordinate of the controller 7 control 2D laser displacement sensor 1 scanning survey baseline profile unique point of 2D laser displacement sensor, described processor 9 controls linear actuator 5 moving linearly by the controller 8 of linear actuator, and described range sensor 4 is for measuring the amount of movement of slide block guide rail 3, described processor 9 processes the measured value from 2D laser displacement sensor 1 and range sensor 4, realizes benchmaring; Processor 9 of the present invention can be the big-endian processor such as computing machine.
Based on the detection method of the benchmaring device of a kind of aircraft components automatic Drilling/Riveting system described above, comprise the following steps: the first step, definition basis coordinates system A-XYZ, true origin is space any point A, horizontal direction is X-axis, vertical direction is Z axis, and Y-axis is right-handed coordinate system prescribed direction; Definition 2D laser displacement sensor coordinate is S-XYZ, 2D laser displacement sensor 1 inner laser bundle eye point is true origin S, 2D laser displacement sensor 1 inner laser bundle is X-axis through the direction of the striation that cylindrical objective lens dispersion is formed, with laser emitting direction for Z axis, Y-axis is the direction of the regulation meeting right-handed coordinate system; Definition datum hole plane coordinate system O-XYZ, so that in the plane of datum hole place, any point is for true origin O, orthogonal in the plane two straight lines of datum hole are X, Y-axis, datum hole planar process is to being Z axis, and described datum hole place plane is datum hole plane or is reference plane; Because slide block guide rail 3 drives 2D laser displacement sensor 1 to do translation scan motion, therefore 2D laser displacement sensor coordinate system S-XYZ is moving coordinate system, first determines that 2D laser displacement sensor 1 scans initial coordinate system S by demarcation before benchmaring 0-XYZ relative to basis coordinates system A-XYZ and rotation matrix R and sensor coordinate system origin coordinates initial point at the coordinate of basis coordinates system , and determine the direction of scanning angle (α, beta, gamma) of 2D laser displacement sensor 1 in basis coordinates system, thus determine the transformational relation of sensor coordinate system and basis coordinates system; And then determine that datum hole planimetric coordinates is tied to the rotation matrix of basis coordinates system, thus determine the transformational relation of datum hole plane coordinate system and basis coordinates system.
Second step, 2D laser displacement sensor 1 is started by the controller 7 of 2D laser displacement sensor, measure the two-dimensional coordinate of scanning initial position baseline profile unique point, this two-dimensional coordinate is the coordinate in sensor coordinate system XZ plane, described 2D laser displacement sensor coordinate system S-XYZ, in detection motion or local motion process, motion state is unique, the contour feature point of described baseline profile unique point i.e. datum hole;
3rd step, linear actuator 5 is started by the controller 8 starting linear actuator, 2D laser displacement sensor 1 is made to do rectilinear scanning motion, measure the two-dimensional coordinate of baseline profile unique point on direction of scanning simultaneously, this two-dimensional coordinate is the coordinate in sensor coordinate system XZ plane, and the amount of movement of slide block guide rail 3 measured by range sensor 4, and is entered in processor 9, described 2D laser displacement sensor coordinate system S-XYZ, in detection motion or local motion process, motion state is unique;
4th step, the amount of movement of slide block guide rail 3 is measured according to the two-dimensional coordinate of baseline profile unique point and range sensor 4, pass through coordinate transform, namely by the transformational relation of sensor coordinate system and basis coordinates system, calculate the three-dimensional coordinate that baseline profile unique point is fastened in basis coordinates, also complete baseline profile unique point is tied to basis coordinates system coordinate conversion from sensor coordinates simultaneously, particularly, the amount of movement of slide block guide rail 3 is measured according to the two-dimensional coordinate of baseline profile unique point in sensor coordinate system XZ plane and range sensor 4, namely according to step one, two, the measured value of three, and ensure the two-dimensional coordinate of baseline profile unique point in sensor coordinate system XZ plane that 2D laser displacement sensor 1 measures and the simultaneously match of scanning amount of movement, by the three-dimensional coordinate that following formula (1) Calculation Basis contour feature point is fastened in basis coordinates, this algorithm completes baseline profile unique point is tied to basis coordinates system coordinate conversion from sensor coordinates simultaneously,
(1)
Wherein, m is certain baseline profile point sequence number, and n is scanning times, and d is the translational movement of the 2D laser displacement sensor 1 that range sensor 4 records, and R is the unit orthogonal matrix of 3 × 3, for sensor coordinate system is relative to the rotation matrix of basis coordinates system. for sensor coordinate system origin coordinates initial point is at the coordinate of basis coordinates system, for scanning profile point is at the coordinate of basis coordinates system, for sensor initial detecting value; Wherein, (α, β, γ), R and through demarcating in step one.
5th step, by the three-dimensional coordinate that datum hole contour feature point is fastened in basis coordinates, is converted to the two-dimensional coordinate in the XY plane of datum hole plane coordinate system through coordinate transform, and the XY plane of described datum hole plane coordinate system is datum hole plane; Particularly: the transformational relation being tied to basis coordinates system according to the datum hole planimetric coordinates determined, thus the three-dimensional coordinate of datum hole profile is converted to the two-dimensional coordinate of datum hole plane.
6th step, according to the two-dimensional coordinate of the baseline profile unique point obtained in the 5th step in datum hole plane coordinate system XY plane, by the parameter space using least square method to set up datum hole centre coordinate, and then use Generalized Hough Transform to realize the conversion of datum hole boundary space territory to the parameter space of datum hole centre coordinate, realize datum hole centre coordinate and estimate; Then at the transformational relation according to datum hole plane coordinate system and basis coordinates system, the two-dimensional coordinate of datum hole center in datum hole plane coordinate system XY plane is reversed the three-dimensional coordinate for fastening in basis coordinates, particularly; Because in the benchmaring of the automatic Drilling/Riveting system for aircraft components, benchmark is 4 datum holes, therefore the center of benchmark is datum hole centre coordinate.The two-dimensional coordinate of baseline profile unique point in datum hole plane coordinate system XY plane has been obtained, the estimation by following algorithm realization datum hole parameter in above-mentioned steps five:
This algorithm is the Generalized Hough Transform innovatory algorithm based on least square.The cardinal principle that Generalized Hough Transform method is asked for finds one from datum hole border (spatial domain) to the conversion of datum hole centre coordinate (parameter space), and the datum hole parameter of the correspondence met with most of datum hole frontier point describes this hole itself.This algorithm uses least square method to make improvements on this basis, basic thought is: use least square method to set up the parameter space of datum hole centre coordinate, uses Generalized Hough Transform to realize the conversion of datum hole boundary space territory to the parameter space of datum hole centre coordinate.
Specific algorithm realizes as follows:
First, datum hole boundary space territory is set up.Namely in certain sequence the two-dimensional coordinate of the contour feature point of datum hole described in step 5 in datum hole plane coordinate system XY plane is numbered, forms point set (x i, y i), i=1 ~ n.
Secondly, least square method is utilized to set up the parameter space of datum hole centre coordinate.For the datum hole boundary space territory (x set up i, y i), i=1 ~ n, chooses t point of spatial domain according to certain intervals, use the coordinate of Least Square Method datum hole.
Least Square Method hole parameter algorithm is as follows:
(u is v) system of equations with the least-squares estimation value of radius R to the desirable round heart
(i=1,2,…,t) (2)
Least square solution, because (2) formula is nonlinear, solve more difficult, therefore following process done to (2) formula:
(i=1,2,…,t) (3)
Arrange (3) to obtain
(i=1,2,…,t) (4)
Order (5)
Then (3) can abbreviation be
(6)
Now, the least-squares estimation value of u, v should make error function
(7)
Reach minimum, order with , obtain
(8)
Separate (8) and obtain the center of circle (u, estimated value v).
(9)
(10)
Choose the point of different interval in the spatial domain of benchmark border, use Least Square Method parameter respectively, set up datum hole centre coordinate parameter space (u k, v k).
Generalized Hough Transform is again used to realize the conversion of datum hole boundary space territory to datum hole coordinate parameters space.Specific algorithm is as follows:
First, benchmark boundary space (x is asked i, y i) to the error of datum hole centre coordinate parameter space.
(11)
An error range δ is set, compares with the size of δ.
Secondly, one 2 dimension totalizer is set up , when time, totalizer adds 1.
Finally, compare the value of totalizer, when getting maximum value, (u k, v k) be the datum hole centre coordinate estimated.
Finally the two-dimensional coordinate at this datum hole center is converted to the three-dimensional coordinate fastened in basis coordinates, that is, the two-dimensional coordinate at this datum hole center is the two-dimensional coordinate in datum hole plane coordinate system XY plane, according to the transformational relation having determined datum hole plane coordinate system and basis coordinates system in step 5, thus the two-dimensional coordinate of datum hole center in datum hole plane coordinate system XY plane is reversed the three-dimensional coordinate for fastening in basis coordinates.
From the above, benchmaring device navigates within the scope of reference measurement by automatic Drilling/Riveting system performance element by the present invention, but benchmaring device is independently measured, accuracy of detection and automatic Drilling/Riveting system performance element absolute fix precision have nothing to do, the high precision test of benchmark can be realized, and the determination of the physical location to automatic Drilling/Riveting system machining benchmark can be realized, to determine the deviation of benchmark theoretical position and physical location, to the position compensating approach in addition of preprocessing point on product, eliminate making and installation error, improve and bore riveting precision.The present invention utilizes 2D laser displacement sensor 1 pair of benchmark to scan, and is then calculated fast by benchmaring algorithm, the final physical location obtaining benchmark.The absolute coordinate information of benchmark is directly input in processor 9 program by controller by 2D laser displacement sensor 1 and range sensor 4, and detection method is simple, quick, can realize benchmark on-line checkingi.The present invention simultaneously can realize the technical requirement accuracy of detection of the machining benchmark of automatic Drilling/Riveting system being reached to 0.05mm.
The preferred specific embodiment of the present invention described by reference to the accompanying drawings is above only for illustration of embodiments of the present invention; instead of as the restriction to aforementioned invention object and claims content and scope; every according to technical spirit of the present invention to any simple modification made for any of the above embodiments, equivalent variations and modification, all still belong to the technology of the present invention and rights protection category.

Claims (4)

1. the benchmaring method of an aircraft components automatic Drilling/Riveting system, the detection of the benchmark physical location of four datum holes on product, these four datum holes are positioned at same plane or almost plane, the benchmaring device that described benchmaring method uses comprises processor, the controller of 2D laser displacement sensor, the controller of linear actuator and pedestal, described pedestal is provided with slide block guide rail and linear actuator, described slide block guide rail slidably connects web joint, and linear actuator is connected with web joint, slide on slide block guide rail for making web joint, described web joint is provided with 2D laser displacement sensor and range sensor, described processor is by the two-dimensional coordinate of the controller control 2D laser displacement sensor scanning survey baseline profile unique point of 2D laser displacement sensor, described processor controls linear actuator moving linearly by the controller of linear actuator, and described range sensor is for measuring the amount of movement of slide block guide rail, described processor process, from the measured value of 2D laser displacement sensor and range sensor, realizes benchmaring, it is characterized in that, comprise the following steps: the first step, definition basis coordinates system A-XYZ, true origin is space any point A, and horizontal direction is X-axis, and vertical direction is for being Z axis, and Y-axis is the direction that right-handed coordinate system specifies, definition 2D laser displacement sensor coordinate is S-XYZ, 2D laser displacement sensor inner laser bundle eye point is true origin S, 2D laser displacement sensor inner laser bundle is X-axis through the direction of the striation that cylindrical objective lens dispersion is formed, with laser emitting direction for Z axis, Y-axis is the direction of the regulation meeting right-handed coordinate system, definition datum hole plane coordinate system O-XYZ, so that in the plane of datum hole place, any point is for true origin O, orthogonal in the plane two straight lines of datum hole are X, Y-axis, datum hole planar process is to being Z axis, and described datum hole place plane is datum hole plane or is reference plane, first 2D laser displacement sensor scanning initial coordinate system S is determined by demarcation before benchmaring 0-XYZ is relative to the rotation matrix R of basis coordinates system A-XYZ and sensor coordinate system origin coordinates initial point thereof the coordinate in basis coordinates system and determine the direction of scanning angle (α, beta, gamma) of 2D laser displacement sensor in basis coordinates system, thus determine the transformational relation of sensor coordinate system and basis coordinates system, and then determine that datum hole planimetric coordinates is tied to the rotation matrix of basis coordinates system, thus determine the transformational relation of datum hole plane coordinate system and basis coordinates system,
Second step, starts 2D laser displacement sensor by the controller of 2D laser displacement sensor, and measure the two-dimensional coordinate of scanning initial position baseline profile unique point, this two-dimensional coordinate is the coordinate in sensor coordinate system XZ plane;
3rd step, linear actuator is started by the controller starting linear actuator, 2D laser displacement sensor is made to do rectilinear scanning motion, measure the two-dimensional coordinate of baseline profile unique point on direction of scanning simultaneously, this two-dimensional coordinate is the coordinate in sensor coordinate system XZ plane, and the amount of movement of slide block guide rail measured by range sensor, and be entered in processor;
4th step, according to the two-dimensional coordinate of baseline profile unique point in sensor coordinate system XZ plane and the amount of movement of range sensor measurement slide block guide rail, by the transformational relation of sensor coordinate system and basis coordinates system, calculate the three-dimensional coordinate that baseline profile unique point is fastened in basis coordinates;
5th step, by the three-dimensional coordinate that datum hole contour feature point is fastened in basis coordinates, is converted to the two-dimensional coordinate in the XY plane of datum hole plane coordinate system through coordinate transform;
6th step, according to the two-dimensional coordinate of baseline profile unique point in datum hole plane coordinate system XY plane, the parameter space first by using least square method to set up datum hole centre coordinate; Then use Generalized Hough Transform to realize the conversion of datum hole boundary space territory to the parameter space of datum hole centre coordinate, realize datum hole centre coordinate and estimate; Finally the two-dimensional coordinate of this datum hole center in datum hole plane coordinate system XY plane is reversed the three-dimensional coordinate for fastening in basis coordinates.
2. benchmaring method according to claim 1, it is characterized in that: the method that described utilization least square method sets up the parameter space of datum hole centre coordinate is: first, the two-dimensional coordinate that described datum hole contour feature point is fastened at datum hole planimetric coordinates is numbered, forms point set (x i, y i), i=1 ~ n;
Secondly; To datum hole boundary space territory (x i, y i), i=1 ~ n, chooses t point of spatial domain according to certain intervals, use the coordinate of Least Square Method datum hole, show that datum hole coordinate (u, v) estimated value is:
u ^ = Σ i = 1 t - 1 b i 2 · Σ i = 1 t - 1 a i c i - Σ i = 1 t - 1 b i c i · Σ i = 1 t - 1 a i b i Σ i = 1 t - 1 a i 2 · Σ i = 1 t - 1 b i 2 - ( Σ i = 1 t - 1 a i b i ) 2 , v ^ = Σ i = 1 t - 1 a i 2 · Σ i = 1 t - 1 b i c i - Σ i = 1 t - 1 a i c i · Σ i = 1 t - 1 a i b i Σ i = 1 t - 1 a i 2 · Σ i = 1 t - 1 b i 2 - ( Σ i = 1 t - 1 a i b i ) 2 .
3. benchmaring method according to claim 2, is characterized in that: described Generalized Hough Transform realizes datum hole boundary space territory and to the method for the conversion of the parameter space of datum hole centre coordinate is: first ask benchmark boundary space (x i, y i) to the error of datum hole centre coordinate parameter space:
Δ i k = ( x i - u k ) 2 + ( y i - v k ) 2 - R k 2
An error range δ is set, compares with the size of δ;
Secondly, one 2 dimension totalizer N [u is set up k] [v k]=0, when time, totalizer adds 1;
Finally, compare the value of totalizer, N [u k] [v k] when getting maximum value, (u k, v k) be the datum hole centre coordinate estimated.
4. benchmaring method according to claim 3, it is characterized in that: described 2D laser displacement sensor coordinate system S-XYZ, in detection campaign in step 2, step 3 or local motion process, motion state is unique, and the transformational relation of described sensor coordinate system and basis coordinates system is unique.
CN201210081079.6A 2012-03-26 2012-03-26 Reference detecting device of automatic drilling and riveting system of airplane components and detecting method thereof Active CN102636110B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201210081079.6A CN102636110B (en) 2012-03-26 2012-03-26 Reference detecting device of automatic drilling and riveting system of airplane components and detecting method thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201210081079.6A CN102636110B (en) 2012-03-26 2012-03-26 Reference detecting device of automatic drilling and riveting system of airplane components and detecting method thereof

Publications (2)

Publication Number Publication Date
CN102636110A CN102636110A (en) 2012-08-15
CN102636110B true CN102636110B (en) 2015-03-25

Family

ID=46620600

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201210081079.6A Active CN102636110B (en) 2012-03-26 2012-03-26 Reference detecting device of automatic drilling and riveting system of airplane components and detecting method thereof

Country Status (1)

Country Link
CN (1) CN102636110B (en)

Families Citing this family (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103587719B (en) * 2013-11-11 2016-01-06 中航沈飞民用飞机有限责任公司 The full-automatic drilling riveting localization method of flat part
CN104217076B (en) * 2014-08-28 2017-12-22 苏州全丰精密机械有限公司 The method and apparatus for carrying out riveting positioning using DXF forms drawing
CN104634273A (en) * 2015-01-08 2015-05-20 成都多极子科技有限公司 Contour registration method based on machine vision train guide rail contour measurement
CN104698968B (en) * 2015-02-11 2017-05-31 南京航空航天大学 Multi-functional automatic Drilling/Riveting end effector and automatic Drilling/Riveting method
CN105798706B (en) * 2016-02-24 2018-06-01 浙江大学 A kind of end precision gravitational compensation method for the horizontal automatic drill riveter of aircraft target ship
CN106584206B (en) * 2016-11-17 2018-10-26 浙江大学 A kind of drilling normal direction modification method of automatic drill riveter
CN106767397B (en) * 2016-11-21 2020-01-21 上海航天精密机械研究所 Automatic drilling and riveting processing data deviation measurement and compensation method
CN106500564B (en) * 2016-11-25 2019-03-05 沈阳黎明航空发动机(集团)有限责任公司 A kind of small segmental arc thin-walled sheet metal part detection method of major diameter
CN110619622B (en) * 2019-04-08 2023-07-14 天津职业技术师范大学(中国职业培训指导教师进修中心) Bread board structure image automatic detection method based on computer vision
CN112132773B (en) * 2019-06-24 2024-04-12 曜科智能科技(上海)有限公司 Method, device, equipment and storage medium for detecting riveting point defect of aircraft head cover
CN110548833B (en) * 2019-08-21 2020-12-15 安徽巨一科技股份有限公司 Debugging method and device for lightweight vehicle body self-piercing riveting equipment
CN115298440A (en) * 2020-03-26 2022-11-04 三菱电机株式会社 Method for manufacturing discharge valve mechanism of compressor and compressor provided with discharge valve mechanism
CN111496289B (en) * 2020-04-08 2021-08-10 清华大学 Multifunctional integrated aviation assembly hole making system and use method thereof
CN111515613B (en) * 2020-04-15 2022-01-25 成都飞机工业(集团)有限责任公司 Local correction method for hole positions of skeleton structure
CN111912335B (en) * 2020-06-30 2022-01-25 成都飞机工业(集团)有限责任公司 Airplane surface datum hole identification method suitable for robot drilling and riveting system
CN111912346B (en) * 2020-06-30 2021-12-10 成都飞机工业(集团)有限责任公司 Nest hole online detection method suitable for robot drilling and riveting system on surface of airplane
CN112084599B (en) * 2020-09-09 2022-02-11 南京航空航天大学 Aerospace box part structure deformation-oriented compensation method
CN112558549B (en) * 2021-02-09 2021-08-03 成都飞机工业(集团)有限责任公司 Reference selection method for minimum hole site error in large-part group hole machining
CN113714456A (en) * 2021-08-03 2021-11-30 东北大学 Hole making and riveting quality control method and device based on machine vision
CN113352092B (en) * 2021-08-10 2021-10-08 成都飞机工业(集团)有限责任公司 Machining reference determination method based on tool for machining aircraft parts
CN113467372B (en) * 2021-09-06 2021-11-02 成都飞机工业(集团)有限责任公司 Method for determining machining reference of aircraft component
CN114913352B (en) * 2022-05-05 2023-05-26 山东高速建设管理集团有限公司 Multi-source information space-time registration method and system based on joint similarity matching
CN115090917B (en) * 2022-08-25 2023-01-10 成都飞机工业(集团)有限责任公司 Hole making method and device, storage medium and equipment

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101109946A (en) * 2007-07-06 2008-01-23 成都飞机工业(集团)有限责任公司 Control method for normally riveted curved member
CN101362302A (en) * 2008-09-19 2009-02-11 浙江大学 C type folded milling-drilling-riveting combined processing center and method of use thereof
CN101387517A (en) * 2008-10-17 2009-03-18 浙江大学 Aerofoils and vertical Tails horizontal measurement and point print system and method
CN101957175A (en) * 2010-09-14 2011-01-26 西安交通大学 Three-point micro-plane-based normal detection method

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102284956B (en) * 2011-05-04 2013-11-20 南京航空航天大学 Normal centering method of automatic drilling and riveting robot

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101109946A (en) * 2007-07-06 2008-01-23 成都飞机工业(集团)有限责任公司 Control method for normally riveted curved member
CN101362302A (en) * 2008-09-19 2009-02-11 浙江大学 C type folded milling-drilling-riveting combined processing center and method of use thereof
CN101387517A (en) * 2008-10-17 2009-03-18 浙江大学 Aerofoils and vertical Tails horizontal measurement and point print system and method
CN101957175A (en) * 2010-09-14 2011-01-26 西安交通大学 Three-point micro-plane-based normal detection method

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
基于数字图像处理技术的微小群孔快速检测系统;张剑剑等;《传感器与微系统》;20090620(第06期);全文 *
机器人准确制孔技术研究;冯晓波;《全国优秀硕士学位论文全文数据库》;20110831(第8期);全文 *
机器人辅助飞机装配制孔中位姿精度补偿技术;曲巍崴等;《航空学报》;20111025(第10期);全文 *
杜宝瑞等.用于飞机部件自动制孔的机器人制孔系统.《航空制造技术》.2010,(第02期), *
用于飞机部件自动制孔的机器人制孔系统;杜宝瑞,冯子明,姚艳彬,毕树生;《航空制造技术》;20101231(第2期);正文第1-4页,附图1-10 *
飞机结构件的自动化精密制孔技术;卜泳等;《航空制造技术》;20091231(第24期);全文 *

Also Published As

Publication number Publication date
CN102636110A (en) 2012-08-15

Similar Documents

Publication Publication Date Title
CN102636110B (en) Reference detecting device of automatic drilling and riveting system of airplane components and detecting method thereof
US11484982B2 (en) Online CNC machine tool geometric/thermal error measurement and compensation system
US9952580B2 (en) Method and an apparatus for machining a part for an assembly
CN102284956B (en) Normal centering method of automatic drilling and riveting robot
CN107341802B (en) Corner sub-pixel positioning method based on curvature and gray scale compounding
CN110986778B (en) System and method for detecting size of rivet hole of carbon fiber composite material
Tian et al. Auto-normalization algorithm for robotic precision drilling system in aircraft component assembly
CN102494641B (en) Hole axis detection tool and detection method thereof
EP2881817B1 (en) System and method for operating a machine and performing quality assurance
CN110081821A (en) Intelligent high-speed rail white body assembling quality detection device and its method
CN111531407B (en) Workpiece attitude rapid measurement method based on image processing
CN106152935A (en) It is applicable to the laser measurement system without feature space curved surface blank and processing positioning method thereof
CN104102173A (en) Numerical Controller
Wang et al. On-machine volumetric-error measurement and compensation methods for micro machine tools
CN107957234A (en) A kind of method and device for measuring normal vector of arbitrary point of free-form surface
CN110281152A (en) A kind of robot constant force polishing paths planning method and system based on online examination touching
US8626464B2 (en) Dimensional inspection method for a composite part
Dayam et al. In-process dimension monitoring system for integration of legacy machine tools into the industry 4.0 framework
Bere et al. Methodology for evaluate the form deviations for formula one nose car
CN206113861U (en) Device for measuring normal vector of arbitrary point of free -form surface
Al Khawli et al. Introducing data analytics to the robotic drilling process
Hou et al. An online tool wear detection system in dry milling based on machine vision
Qi et al. Hole position quick modification method for automatic drilling and riveting system considering workpiece pose deviation
CN110021027B (en) Edge cutting point calculation method based on binocular vision
CN206889026U (en) A kind of steam turbine stator blade

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
TR01 Transfer of patent right

Effective date of registration: 20191008

Address after: Yudaojie Qinhuai District of Nanjing City, Jiangsu Province, No. 29 210016

Patentee after: Nanjing University of Aeronautics and Astronautics Asset Management Co., Ltd.

Address before: Yudaojie Nanjing 210016 Jiangsu province No. 29

Patentee before: Nanjing University of Aeronautics and Astronautics

TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20191021

Address after: No. 1888, Jiyin Avenue, Jiangning District, Nanjing City, Jiangsu Province (Jiangning Development Zone)

Patentee after: Jiangsu Hangding Intelligent Equipment Co., Ltd.

Address before: Yudaojie Qinhuai District of Nanjing City, Jiangsu Province, No. 29 210016

Patentee before: Nanjing University of Aeronautics and Astronautics Asset Management Co., Ltd.

TR01 Transfer of patent right