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<strong>ENVIRONMENTAL</strong><br />

<strong>ENGINEERING</strong><br />

May 22-23, 2008<br />

The 7 th International Conference<br />

Faculty of Environmental Engineering<br />

Vilnius Gediminas Technical University<br />

Saulėtekio ave 11, LT-10223 Vilnius, Lithuania<br />

Phone: +370 5 2745090; Fax.: +370 5 2744731; e-mail: ap2008@ap.vgtu.lt<br />

CALIBRATION OF CODED LEVELLING STAFFS<br />

Vytautas Giniotis, Donatas Rekus, Ceslovas Aksamitauskas<br />

Department of Geodesy and Cadastre, Vilnius Gediminas technical university,<br />

Saulėtekio al. 11, LT-10223 Vilnius, Lithuania,<br />

e-mail: gkk@ap.vgtu.lt<br />

Abstract. Digital levels are a precise instruments used for precise leveling. Operation of digital levels is based on the<br />

digital processing of video indications of a coded staff. Changes in leveling methodology and sources of specific<br />

errors occur using digital levels for precise levelling. The marks on the leveling meters also are modified and consist<br />

from the coded strokes put on the meter’s surface in specific order. The accuracy of performance of all the measuring<br />

equipment mostly depends on accuracy of position of those strokes. This paper deals with an analysis of an accuracy<br />

calibration of leveling meters<br />

Keywords: coded staff, digital levelel, leveling error, accuracy, calibration.<br />

1. Introduction<br />

Changes in leveling methodology and sources of<br />

specific errors occurs using digital levels for precise<br />

levelling. Precision investigations of a particular model of<br />

levels and coded staffs and digital levelling are necessary.<br />

Operation of levelling instruments is based on the digital<br />

processing of image of the coded meter. Every company<br />

producing the leveling instruments has developed its own<br />

codes and methods of their processing: correlation<br />

(LeicaWild NA2000/2002/3000/3003 systems),<br />

geometric method (Zeiss DiNi 10/20 systems), phase<br />

method (Topcon DL – 101/102 systems) [1-6].<br />

At the beginning of measurement a visual pointing<br />

of the instrument into the surface of leveling meter is<br />

performed. After that the instrument automatically points<br />

the focus of its optical system on the surface of the meter<br />

and then a rough correlation calculation is performed<br />

followed by the precise correlation. According to data<br />

received in the processor of the instrument an exact<br />

distance from the axes of the instrument to the surface of<br />

the level mete is calculated. According to the information<br />

received by decoding it from the photoelectric matrix the<br />

height of the level placing is calculated in the processor.<br />

During this operation the coded view of the meter is<br />

compared with that saved in the memory of the<br />

instrument. A true meter’s height position is determined<br />

according to the shift of the image in the photoelectric<br />

sensor (pixels) matrix.<br />

1310<br />

Processing of information is quite complicated in<br />

various leveling systems. For example, in Leica systems<br />

the code bars (strokes) are put on the all length – 4050<br />

mm of the meter. The bar code has 2000 elements, each<br />

of them having 2,025 mm in width. It is evident, that the<br />

production of such meter is quite complicate; its accuracy<br />

mostly depends on the errors of placement of the coded<br />

bars. The matrix of the photodiodes (pixels) has 256<br />

elements placed with the pitch of 25 µm from each other.<br />

Accuracy of placement of these cells also has an<br />

influence on the overall accuracy of the instrument’s<br />

performance.<br />

An accuracy of the calibration of placement of the<br />

coded bars on the surface of the meters is analyzed in this<br />

paper.<br />

2. Calibration of the coded staffs<br />

The system calibration can be used to determine the<br />

correction values of rod readings and hence the scale of the<br />

digital leveling system, secondly to examine its behavior<br />

and thirdly, to estimate the accuracy.<br />

During the last decades the geodetic instruments<br />

have become more automatic and electronic, fine<br />

constructed and externally well operating systems. The<br />

software has replaced more and more observer’s task.<br />

Also the levelling experienced the similar development:<br />

The discovery of the digital levelling in the beginning of<br />

the 90’s really conduced the levelling into the new era. [12,<br />

13]


In old times the levelling instruments were simply<br />

constructed, but they were also manufactured in great care<br />

applying precision mechanics. So, we users knew more<br />

and understand better the function of the leveling<br />

instruments and in most cases, we were able to quickly<br />

locate the functional faults and to correct small<br />

imperfections. When we operate with a digital levelling<br />

system, a CCD camera takes picture from the rod, which<br />

covers a certain sector of the bar code scale above and<br />

below the horizontal level. The picture is then compared to<br />

the picture of the whole scale stored in the memory of the<br />

instrument. Each manufacturer has its own method to<br />

process the rod reading [1, 2]. In a digital level the rod<br />

readings are automatically processed applying electrooptical<br />

technique, while in conventional levelling the<br />

observer manually gets a rod reading using the optical<br />

tools of the instrument, e.g., line of sight, hair cross,<br />

ocular, micrometer, line of level etc. A CCD camera<br />

replaces the human eye. In processing a rod reading the<br />

digital levelling employs more than just one code line.<br />

In conventional levelling the scale is based on the<br />

scale of a rod, while in digital levelling we can speak<br />

about two scales: Scale of an instrument and scale of a rod.<br />

The digital level gives the former, but in fact the scale of<br />

level is expected to be equal with the scale of rod.<br />

However, with time, the scale of level can be changed e.g.<br />

by aging of the CCD sensor. Also the scale of level is<br />

sensitive for scratches of code elements or shadows on<br />

invar band etc.<br />

All coded meters can be calibrated by use of the<br />

interferometric comparators. Usually it is enough to<br />

measure every stroke (or bar) of 2.025 mm width at the<br />

pitch determined. The gaps between the bars are at the<br />

distances in times of 2.025 mm. Vertical comparators are<br />

mostly used for this purpose. By horizontal comparators<br />

the thermal expansion coefficients and thermal resistance<br />

of the meter are investigated. The meters are calibrated at<br />

0, 10, 20, 30 and 40 0 C of temperature.<br />

The comparators partly repeat the operations of<br />

leveling. (Fig.1)<br />

Fig. 1. The FGI system calibration in the FGI laboratory<br />

Some of the height leveling can be used for<br />

measurement or calibration of precision leveling meters.<br />

Usually the vertical position of the calibration is used<br />

having the purpose to keep the same position as it is<br />

during the working operations. Nevertheless, there are<br />

variants of calibration in the horizontal position as it<br />

1311<br />

saves the height of the calibration laboratory and makes<br />

an operation easier. The vertical comparators are arranged<br />

in Graz University of Technology (Austria), at Institute of<br />

Geodesy (Finland), Munich Bundeswer University,<br />

Germany. Horizontal structure of the comparator is<br />

applied in ETH University, Zurich.<br />

In the system calibration the rod is set on the vertical<br />

conveyor controlled by laser interferometer and the digital<br />

level at a certain distance from the rod as illustrated in Fig.<br />

2. The rod is moved step by step in vertical direction and<br />

the rod readings are observed with the instrument during<br />

the stop between the steps. The readings are taken from<br />

different sectors of the bar code rod and then compared<br />

with true values obtained by the laser interferometer. [9]<br />

Fig.2 Especially designed for the Zeiss DiNi12 digital<br />

levelling system with two observation pillars.<br />

3. Photogrametric calibration<br />

Principles of photogrammetry can be used for the<br />

comparing the views of the etalon and meter to be<br />

calibrated. The correlation factor determination can be<br />

used successfully as well as in the case of Digital leveling<br />

operation. The etalon view is save din the PC memory,<br />

and the view of tested meter must be extracted from the<br />

CCD camera. All the measurements are performed in the<br />

PC screen using analyzing gap covering the both images<br />

(Fig. 3 and 4).<br />

At first, adjustments of the meters views in the<br />

direction of x and y axes must be taken. As it is seen in<br />

Fig. 1, badi mage projection causes the faults in the<br />

images, not horizontal alignment result in the cosine error<br />

to be present at the misalignment angle ϑ. It is evident<br />

that the true length h of the image will differ from the<br />

misaligned length l as ∆ l = l(1 − lcos ϑ)<br />

.<br />

The meters have an opportunity to be shifted along<br />

each other on the computer screen. CCD camera is<br />

supplied by the analyzing window for the selection the<br />

part of the meters that are selected for the comparison<br />

between themselves [7-11]. The analyzing window is<br />

shifted along the length of the meters or replaced by steps<br />

at least three times – at the beginning, in the middle and<br />

at the end of the meters. In this case it is easier to apply<br />

zooming process for the part taken in step measurement.


It would be impossible in such view as it is shown in Fig.<br />

1.<br />

The readings are taken by using the standard<br />

software AutoCad. The readings are shown only as an<br />

example without any statistical processing. According to<br />

the rexample it can be stated that the accuracy of<br />

measurement by this method can reach tens of microns in<br />

average.<br />

2<br />

1<br />

- 0,2 0 0,2 0,4 0,6 3<br />

ϑ<br />

y<br />

x<br />

Fig. 3. General view of photogrametric calibration of leveling<br />

meters: 1 etalon meter, 2 meter to be calibrated, 3<br />

linear and vernier scale for readings, 4 moving reticle<br />

An accurate comparing of the meters can be<br />

accomplished by the correlation method. A better case to<br />

apply this is comparison of the same type of the meters,<br />

for example, both coded meters by the same producer.<br />

The signals from the photoelectric sensors (pixels) is<br />

output to the PC making an array of numerical values<br />

from the both meters at the same position. It coincides<br />

with the known area-based method described in [11]. The<br />

difference is only in the aim of its applying. In our case it<br />

is the comparison of the position of edges of the bars on<br />

the tested meter. The processing of the images goes in the<br />

same way as according to the method above. Smaller<br />

subarrays from the both arrays are taken and the<br />

correlation factor is calculated using the formula [11]:<br />

r<br />

m<br />

n<br />

∑∑<br />

4<br />

[( A − A)( B −B)]<br />

ij<br />

ij<br />

i= 1 j=<br />

1<br />

=<br />

1/ 2<br />

⎧ m n m n<br />

⎪ ⎡<br />

2 ⎤⎡<br />

2 ⎤⎫<br />

⎪<br />

⎨⎢∑∑( Aij<br />

− A) ⎥⎢∑∑( Bij<br />

−B)<br />

⎥⎬<br />

i= 1 j= 1 i= 1 j=<br />

1<br />

⎪⎩⎣ ⎦⎣ ⎦⎪⎭<br />

r – correlation coefficient; m and n – numbers of rows and<br />

columns; A ij – digital number from subarray A in the row<br />

i and in the column j; A - average of all digital numbers<br />

in subarray A, and B - average of all digital numbers in<br />

subarray B. i = 0, 1, 2, 3,…, m; j = 0, 1, 2, 3,…, n.<br />

It is evident that a total array of numbers<br />

representing position of the bars on the surface of the<br />

levels will be received from the array of sensors of the<br />

CCD camera converting voltage output into the digital<br />

form. General diagram of photosensors (pixels) with the<br />

view of the coded bar of shown in<br />

1 2 3<br />

ooooooooooooooooooooooo<br />

oooo<br />

ooooooooooooooooooooooo<br />

oooo<br />

ooooooooooooooooooooooo<br />

oooo<br />

ooooooooooooooooooooooo<br />

oooo<br />

ooooooooooooooooooooooo<br />

Fig. 4. Array of photosensors and the bars of the meter on it: 1 –<br />

coded bars of the meter, 2 array of CCD sensors, 3<br />

analyzing window<br />

⎡a11 a12 a13 a14<br />

...<br />

⎢<br />

⎢<br />

a21 a22 a23 a24<br />

...<br />

⎢a31 a32 a33 a34<br />

...<br />

A = ⎢<br />

⎢a41 a42 a43 a41<br />

...<br />

⎢<br />

a51 a52 a53 a54<br />

...<br />

⎢<br />

⎢⎣<br />

... ... ... ... ...<br />

⎡b11 b12 b13 b14<br />

... ⎤<br />

⎢<br />

⎥<br />

⎢<br />

b21 b22 b23 b24<br />

...<br />

⎥<br />

⎢b31 b32 b33 b34<br />

... ⎥<br />

B = ⎢<br />

⎥<br />

⎢b41 b42 b43 b41<br />

... ⎥<br />

⎢<br />

b51 b52 b53 b54<br />

...<br />

⎥<br />

⎢<br />

⎥<br />

⎢⎣<br />

... ... ... ... ... ⎥⎦<br />

Fig. 5. Digital output from the search array of photosensors and<br />

the analyzing window for subarrays selection<br />

A digital output from the photosensors presented in<br />

the form of matrixes A and B, from the view of etalon<br />

meter and calibrated meter respectively, are shown in Fig.<br />

3.<br />

The correlation coefficient is calculated from the<br />

subarrays selected by analyzing window. The error of the<br />

displacement (difference between the position of bars on<br />

the meters) is determined by the local correlation<br />

coefficient. Such operations are performed for this<br />

process:<br />

• preliminary correlation coefficient calculation at<br />

the beginning, middle and the end part of the<br />

meters using the formula (1);<br />

• shift of the subarray B at the predetermined pitch<br />

∆ t and repeating an operation as described<br />

above;<br />

• repeating the first two operations in the<br />

investigation region ± k∆ t , where k = 1, 2, 3, ...<br />

⎤<br />

⎥<br />

⎥<br />

⎥<br />

⎥<br />

⎥<br />

⎥<br />

⎥<br />

⎥⎦<br />

1312


covering the zone of expected error of the<br />

meter‘s bars placement;<br />

• statistical processing of the results of correlation<br />

coefficient calculations determining the position<br />

in the discrete numbers of pitches ∆ t in the<br />

length x of the meter.<br />

More exact evaluation of edges of the bars can be<br />

performed by using the feature-based digital image<br />

assessment technique. In case of a blur image of the<br />

meters additional statistical means must be taken for<br />

determination the position of bars. The values of the<br />

photogrammetric points of the image are assessed by<br />

evaluates of standard deviations Sx;<br />

S<br />

y and<br />

S<br />

xy<br />

( ∑ xi)( ∑ yi)<br />

= x y −<br />

∑ ( , )<br />

. (2)<br />

n<br />

Both coordinates x and y are needed for better<br />

determination of position of the bar’s points as it can be<br />

seen in Fig. 3. Linear regression equation y = α + β x<br />

dx<br />

can be used for this as well, where β =<br />

dy<br />

is the slope<br />

of the line, parameter α is a constant at value x=0. The<br />

same can be determined<br />

Sxy ∑<br />

as ;<br />

yi ∑ xi<br />

β = α = −β<br />

2<br />

Sx<br />

n n .<br />

Accordingly the sample correlation coefficient can<br />

be calculated as<br />

r =<br />

S<br />

xy<br />

2 2<br />

x y<br />

SS<br />

. (3)<br />

Such calculations as it is presented in [11] would be<br />

easier for the determination of the points on the meter‘s<br />

bar edges, and their systematic error will be determined<br />

by changing the pitch ∆ t of subarray sample selection.<br />

Using the analyzing window on the search array of<br />

digital numbers, its position must be changed by steps at<br />

the chosen pitch ∆ t . So a maximal value of correlation<br />

coefficients will be determined at some values i∆ t of the<br />

meter’s length, different from those on the etalon meter.<br />

This difference will be equal to the systematic error of the<br />

bars position at all its length.<br />

3. Conclusions<br />

Preliminary experiments show a possibility to<br />

perform the calibration of leveling meters using the<br />

photogrammetric methods of its comparison. Digital<br />

output array processing using an analyzing window is to<br />

be used. Area based comparison method used in general<br />

purpose photogrammetry can be applied for this purpose<br />

calculating the correlation coefficients at the shift of the<br />

images to each other by the discrete pitch that show the<br />

difference between the position of meter’s bar edges<br />

where maximal values of the correlation coefficient exist.<br />

The systematic error of the meter under the calibration is<br />

determined by the values of position where these<br />

maximal values are found along the total length of the<br />

meter.<br />

References<br />

1. Hilmar Ingensand, “The evolution of digital leveling<br />

techniques – limitations and new solutions”, Geodesy<br />

Surveying in the Future. The Importance of Heights,<br />

Proceedings, Gavle, Sweden, M. Lilje, ed., pp. 59-68,<br />

(1999).<br />

2. NA 2002. NA 3003, “Technical report, digital levels”,<br />

Leica Geosystems AG, Geodesy, CH−9435 Heerbrugg,<br />

(Switzerland), 1997.<br />

3. M. Menzel, “The development of levels during the past 25<br />

years, with special emphasis on the NI002 optical geodetic<br />

level and the DiNi ® 11 digital level”, Geodesy and<br />

surveying in the future. The importance of heights,<br />

Proceedings, M. Lilje, ed., pp. 85-93, (1999).<br />

4. H. Ingensand, A. Meissl, “Digital Levels on the Way to 3-<br />

D Measurements”, Conference on Optical 3-D<br />

Measurement Techniques, Technische Universitat Wien,<br />

(1995).<br />

5. J. Skeivalas, "An accuracy of determination of the<br />

covariation of random values", Geodesy and cartography,<br />

XXV, No 4, pp. 156-158, Vilnius, Technika, (1999).<br />

6. K. T. V. Grattan, J. Skeivalas and V. Giniotis,<br />

“Development of 2D optical measurements”, Proceedings,<br />

pp. 1831-1833, XVII IMEKO World Congress, IMEKO<br />

and HMD, (2003).<br />

7. V.Giniotis, J. Skeivalas, “The level”, Lithuanian Patent LT<br />

4966 B, Int. Cl. G01C 5/02 / Vilnius Gediminas Technical<br />

University, Vilnius: State Patent Office, 10 p., (2002).<br />

8. Manuel Lopez-Alonso, Javier Alda, “Operational<br />

parametrization of the 1/f noise of a sequence of frames by<br />

means of the principal component analysis in focal plane<br />

arrays”, Opt. Eng., 42(7), 1915-1922, (2003).<br />

9. Rüeger, J. M. and F.K. Brunner, 2000. On System<br />

Calibration and Type Testing of Digital Levels. Zeitschrift<br />

für Vermessungswesen 4/2000.<br />

10. M. Takalo and Rouhiainen. On Use of FGI System<br />

Calibration Comparator // Finnish Geodetic Institute, Paris,<br />

France, 2003.<br />

11. Manual of photogrammetry. Fifth edition. Editor J. Chris<br />

McGlone, American Society for and Remote sensing.<br />

12. Woschitz, h., Brunner, f. and Heister, h., 2002a, Scale<br />

Determination of Digital Levelling Systems using a<br />

Vertical Comparator. FIG XXII International Congress<br />

Washington, D.C. USA, April 19-26 2002.<br />

13. Woschitz, H.and Brunner, F., 2002b, System Calibration of<br />

Digital Levels – Experimental Results of Systematic<br />

Effects. Reprint of paper published in: INGEO2002, 2nd<br />

Conference of Engineering Surveying. Kopacik A and<br />

Kyrinovic P (eds) , Bratislava, November 2002: pp 165-<br />

172.<br />

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