The construction of solar thermal power plants with several thousand $m2$ of collector area requires quality control measures for components, subsystems, and the entire collector rows. While quality control has a significant potential to increase the solar field efficiency, the main objective is to assure high-quality standards for the whole solar field. Quality control, assembly documentation, and performance measurements are required by the investors. Based on previous R&D work in collector development and prototype qualification, measurement systems have been developed for use in solar field construction and operation supervision. In particular, close-range photogrammetry can be used to measure the geometry of collector steel structures. The measurement system consists of a digital camera, which moves around the structure automatically while shooting photos of the concentrator structure from various positions. The photos are evaluated with photogrammetry software to check the assembly quality. The whole measurement and evaluation procedure is computer controlled and is fast enough to be integrated in a solar collector production line. This paper deals with the required measurement accuracy and shows ways to reach, maintain, and control this accuracy in the rough environment of an on-site production line.

1.
Lüpfert
,
E.
,
Pottler
,
K.
, and
Schiel
,
W.
, 2004, “
Optimization of Cost and Efficiency in Concentrating Solar Power Technology Trough Quality Control in Large Production Series for Solar Fields
,”
Proceedings of ISES, EuroSun Congress
,
Freiburg, Germany
, June 20–23.
2.
Shortis
,
M. R.
, and
Johnston
,
G.
, 1996, “
Photogrammetry: An Available Surface Characterization Tool for Solar Concentrators, Part 1: Measurement of Surfaces
,”
ASME J. Sol. Energy Eng.
0199-6231,
118
, pp.
146
150
.
3.
Shortis
,
M. R.
, and
Johnston
,
G.
, 1997, “
Photogrammetry: An Available Surface Characterization Tool for Solar Concentrators, Part II: Assessment of Surfaces
,”
ASME J. Sol. Energy Eng.
0199-6231,
119
, pp.
286
291
.
4.
Pottler
,
K.
,
Lüpfert
,
E.
,
Johnston
,
G.
, and
Shortis
,
M. R.
, 2005, “
Photogrammetry: A Powerful Tool for Geometric Analysis of Solar Concentrators and Their Components
,”
ASME J. Sol. Energy Eng.
0199-6231,
127
, pp.
94
101
.
5.
Lüpfert
,
E.
,
Pottler
,
K.
,
Ulmer
,
S.
,
Riffelmann
,
K.-J.
,
Neumann
,
A.
, and
Schiricke
,
B.
, 2005, “
Parabolic Trough Optical Performance Analysis Techniques
,”
Proceedings of ISEC, 2005 International Solar Energy Conference
,
Orlando, FL
, August.
6.
Linß
,
G.
, 2002,
Qualitätsmanagement für Ingenieure
,
Carl Hanser
,
München, Wien
.
7.
Vision Measurement System (VMS)
2006, Geometric Software P/L, 15 Maranoa Crescent, Coburg 3058, Australia, http://www.geomsoft.comhttp://www.geomsoft.com.
8.
Fraser
,
C. S.
, 1984, “
Network Design Considerations for Non-Topographic Photogrammetry
,”
Photogramm. Eng. Remote Sens.
0099-1112,
50
(
8
), pp.
1115
1125
.
9.
VDI/VDE
, 2002, “
Optical 3D Measuring Systems, Imaging Systems With Point-by-Point Probing
,” VDI/VDE 2634, Part 1, ICS 17.040.30.