Validating The Supporting Structure of A Parabolic Solar Collector Using Close Range Photogrammetry

Abstract

The optical efficiency of parabolic trough collectors depends on their geometric agreement with the parabolic profile design which, in turn, largely depends on the structure supporting the collector. A method for assessing the degree of agreement between the measured geometry and the theoretical design surface is described, which takes into account uncertainty in the point coordinates and is based on kernel smoothing and bootstrapping methods. The technique was applied to a 12 m long parabolic trough collector module with a newly designed supporting structure. The analysis revealed that there were significant differences between the estimated and theoretical surfaces in several parts of the collector.

Towards online UAS‐based photogrammetric measurements for 3D metrology inspection

“…In this context, fast data acquisition, and possibly real‐time processing, are key for large facilities that rely on 3D metrology to operate properly. For most industrial applications dealing with an object size up to a few metres, high‐accuracy 3D metrology tasks are carried out routinely by utilising optical techniques based on close‐range photogrammetry, laser trackers, laser radars, industrial‐grade theodolites and total stations (Pappa et al, 2002; Johnson et al, 2004; Luhmann, 2010; Roca‐Pardiñas et al, 2013). Moreover, when dealing with very large scale 3D metrology, in particular tall structures, specialised tools and machines are utilised (such as lifting platforms, cranes or scaffolding) to reach areas of interest otherwise impossible to access (Goudard et al, 2003; Behrens, 2004; Süss et al, 2012).…”

Acceleration of object tracking in high‐speed videogrammetry using a parallel OpenMP and SIMD strategy

“…PhotoModeler software (Sims et al., ) adopts the least‐squares matching (LSM) algorithm to detect and to track candidate points. Note that LSM is able to detect the correct centroid of a feature object because it applies an affine transformation which allows the correct recognition of the shape (Black and Pappa, ; van den Heuvel et al., ; Eos Systems Inc., ; Roca‐Pardiñas et al., ; Del Pizzo et al., ; Papa, ). Liu et al.…”

“…PhotoModeler software (Sims et al, 2008) adopts the leastsquares matching (LSM) algorithm to detect and to track candidate points. Note that LSM is able to detect the correct centroid of a feature object because it applies an affine transformation which allows the correct recognition of the shape (Black and Pappa, 2003;van den Heuvel et al, 2006;Eos Systems Inc., 2012;Roca-Pardiñas et al, 2013;Del Pizzo et al, 2018;Papa, 2018). Liu et al (2015) detected the contour of each block generated by image division, identifying the profile of the tracked circular targets by integrating the morphology technique with the geometric attributes of the targets.…”

Terrestrial laser scanning as a key element in the integrated monitoring of tidal influences on a twin‐tube concrete tunnel

“…In many projects, discontinuous monitoring measurements are also scheduled during which the entire construction or a limited number of reference points of the structure are measured at specific moments in time. Total stations, GNSS, photogrammetry or laser scanning are frequently used for these measurements (Alba et al., ; Zogg and Ingensand, ; Peeters et al., ; Bertacchini et al., ; Chounta and Ioannidis, ; Needham and Dash, ; Roca‐Pardiñas et al., ). An extensive and systematic monitoring of large projects is not only compulsory during construction but also throughout the subsequent years; systematic monitoring can detect possible risks at an early stage.…”