) steps,
so
ie robot
| system
attached
and is
e whole
| record
rdinates
l. Every
aly put
points.
| bundle
tes as
| world
inknowns
robot
roximate
t the
stem and
1 in the
he world
est fit
1e robot
process
vith the
covering
t stops,
2 image
tar are
e points
tion in
points
ar point
and the
ed with
in the
between
ve the
hat the
| in the
still in
ts show
]. Major
of the
cameras
, change
loss in
is not
4. OPTICAL CORNER FITTING MEASUREMENT SYSTEM FOR
AIRCARFTS
4.1 The Task
A corner fitting of an aircraft can be described
as an angle iron that connects wing and body. Due
to the high sensitivity of this junction the
corner fittings have to be manufactured very
precise.
Because of mechanical limits every aircraft of
the same type is slightly different to each other
so the shape of the corner fittings has to be
adapted to every aircraft. Therefore a
measurement system is necessary to measure the
spatial position of the surfaces, the corner
fittings are attached to. With the result of this
measurement every corner fitting. can. be
manufactered unique with a numeric controlled
milling machine (Rüther, 1989).
The major requirements to this system are an easy
handling, high accuracy and high recording and
processing speed. The problem is a very small
work space in the wing of the aircraft. The
corner fittings have a size from 0.5m x 0.3 m to
0.8 m x 0.5 m. The whole work space is about 3.0
m x 1.0m x 0.8 m. In this workspace the user has
to fulfill the whole measurement work.
4,2 System Configuration
Due to the very small work space the image
recording device has to be very small and the
processing unit has to be placed outside the
aircraft. The camera module is a JenaCam 28 CCD
camera with shutter and an external pixel
synchronous control unit and 8.0 mm lens.
The processing unit is a PC based transputer
network with four transputers for parallel image
processing.
The surfaces are targeted with a film. A special
pattern of coded targets is printed on the film.
Every target consists of a circle in its center,
the actual target and a coded ring around this
circle that keeps the coded identification
information. The targets are set up in a grid of
about 20 mm grid width. So the surfaces of every
corner fitting are signalized with about 150 to
200 targets.
Additionally a scale bar has to be put in the
scene to allow a scaling of the derived point
coordinates.
4.3 Measurement Procedure
The measurement procedure starts with attaching
the target film onto the surfaces to be measured.
Then the user captures one image after the other
of the surfaces. Every image is processed
automatically after it is recorded. The
transputer system allows a parallel recording and
processing without any pauses. The communication
with the user working in the wing and the
processing unit outside is performed by a small
monitor that shows a life image of the camera and
additional information about the actual
processing status.
The image processing runs automatically. In this
process the coded targets in the images were
first detected, then the coordinates of the
center point measured and finally the code ring
decoded to get the identification information for
every target.
9,
Fig.4: Coded target
If all necessary images are recorded, the image
coordinates are also available. Before the
coordinates of the points can be calculated using
a bundle adjustment, initial values for the
object coodinates and the exterior orientation
have to be provided.
The initial values for the coordinates are
already available because the target film is
attached always at the same position of the
aircraft. Because of the same shape, coordinates
once measured can be used as initial values every
time. The initial values for the exterior
orientation can be derived by a spatial resection
over the initial coordinates.
The following bundle adjustment delivers the
coordinates of the surface points which can be
used for the numeric controlled milling machine.
5. CONCLUSION
These examples have shown the wide range of
possible applications of optical 3-D measurement
systems. More systems are already in the planning
stage and with a growing number of installed
systems optical measurement techniques will
become a significant tool in quality control and
inspection.
6. REFERENCES
Bósemann, W., et.al., . 1990. Photogrammetric
investigation of CCD cameras. IAPRS Zurich, Vol.
28, Part 5/2, pp. 816-822.
Peipe, J., 1989. Measurement of Kinematic Robot
Performance by a Hybrid Photogrammetric System.
Congress on Optical 3-D Measurement Techniques.
Vienna 1989.
Rüther, R. Wildschek, Re, 1989. Digital
Photogrammetry for the Acquisition of Surface
Data for Automatic Milling Processes . Congress
on Optical 3-D Measurement Techniques. Vienna
1989.
Schneider, C.-Th., Sinnreich, K., 1990. Concept
of an Optical Coordinate Measurement Machine.
IAPRS Zurich, Vol. 28, Part 5/2, pp. 816-822.
Wester-Ebbinghaus, W., 1985. Bündeltriangulation
mit gemeinsamer Ausgleichung photogrammetrischer
und geodàtischer Beobachtungen. ZfV, 110, pp. 101
- 111.
MOS PME time
E