Peer-reviewed articles 17,970 +



Title: DATA PROCESSING METHODOLOGY IN THE CONTEXT OF POINT CLOUDS OPTIMIZATION FOR BIM TECHNOLOGY

DATA PROCESSING METHODOLOGY IN THE CONTEXT OF POINT CLOUDS OPTIMIZATION FOR BIM TECHNOLOGY
Wioleta Blaszczak Bak; Czeslaw Suchocki; Michal Bednarczyk
10.5593/sgem2022/2.1
1314-2704
English
22
2.1
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
Laser scanning can be used to acquire measurement data for Building Information Modeling (BIM). Terrestrial Laser Scanning (TLS) technology is ideal for this type of work. Having a point cloud of the measured object, dimension and model it in accordance with reality are possible. TLS gives the opportunity to obtain a big amount of observations, which on the one hand allows for an accurate depiction of the object, but on the other hand is troublesome during BIM developing. Therefore, the paper presents the methodology of preparing the TLS point cloud for BIM, taking into account the reduction of the number of observations. The reduction does not happen random, the points are examined for their usefulness and relevance during the development of BIM. The proposed methodology based on the use of the Optimum Dataset (OptD) method during reducing the size of the measurement dataset.
[1] Y. Lu, Z. Wu, R. Chang, Y. Li, Building Information Modeling (BIM) for green buildings: A critical review and future directions, Automation in Construction. 83 (2017) pp. 134–138. https://doi.org/10.1016/j.autcon.2017.08.024.
[2] L. Adamus, Modelowanie informacji o budynku (BIM): podstawy teoretyczne, Prace Instytutu Techniki Budowlanej. 4 (2012) pp. 13–26.
[3] X. Wu, X. Zhu, G.Q. Wu, W. Ding, Data mining with big data, IEEE Transactions on Knowledge and Data Engineering. 26 (2014) pp. 97–107. https://doi.org/10.1109/TKDE.2013.109.
[4] D. Che, M. Safran, Z. Peng, From big data to big data mining: Challenges, issues, and opportunities, in: Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2013. https://doi.org/10.1007/978-3-642-40270-8_1.
[5] M.H. ur Rehman, C.S. Liew, A. Abbas, P.P. Jayaraman, T.Y. Wah, S.U. Khan, Big Data Reduction Methods: A Survey, Data Science and Engineering. 1 (2016) pp. 1–20. https://doi.org/10.1007/s41019-016-0022-0.
[6] J. Fan, F. Han, H. Liu, Challenges of Big Data analysis, National Science Review. 1 (2014) pp. 293–314. https://doi.org/10.1093/nsr/nwt032.
[7] R.M. Ward, R. Schmieder, G. Highnam, D. Mittelman, Big data challenges and opportunities in high-throughput sequencing, Systems Biomedicine. 1 (2013) pp. 29–34. https://doi.org/10.4161/sysb.24470.
[8] W. Blaszczak-Bak, New optimum dataset method in LiDAR processing, Acta Geodynamica et Geomaterialia. 13 (2016) pp. 381–388. https://doi.org/10.13168/AGG.2016.0020.
[9] C. Suchocki, W. Blaszczak-Bak, J. Janicka, A. Dumalski, Detection of defects in building walls using modified OptD method for down-sampling of point clouds, Building Research and Information. 49 (2020) pp. 197–215. https://doi.org/10.1080/09613218.2020.1729687.
[10] W. Blaszczak-Bak, C. Suchocki, M. Mrowczynska, Optimization of point clouds for 3D bas-relief modeling, Automation in Construction. 140 (2022) pp. 1–17. https://doi.org/10.1016/J.AUTCON.2022.104352.
[11] D.H. Douglas, T.K. Peucker, Algorithms for the reduction of the number of points required to represent a digitized line or its caricature, Canadian Cartographer. 10(2) (1973) pp. 112–122. https://doi.org/10.1002/9780470669488.ch2.
conference
Proceedings of 22nd International Multidisciplinary Scientific GeoConference SGEM 2022
22nd International Multidisciplinary Scientific GeoConference SGEM 2022, 04 - 10 July, 2022
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Turkish Acad Sci.
115-122
04 - 10 July, 2022
website
8481
laser scanning, reduction, optimization of point clouds

24th SGEM International Conference on Earth & Planetary Sciences


International GeoConference SGEM2024
28 June - 8 July, 2024 / Albena, Bulgaria

Read More
   

SGEM Vienna GREEN "Green Science for Green Life"


Extended Scientific Sessions SGEM Vienna GREEN
25 - 29 November, 2024 / Vienna, Austria

Read More
   

A scientific platform for Art-Inspired Scientists!


The Magical World Where Science meets Art
Vienna, Austria

Read More