Engineering Support Systems for Industrial Machines and Plants
In the business of industrial machines and plants, rapid and detailed estimates for planning installation, replacement of equipment, or maintenance work are key requirements for meeting the demands for greater reliability, lower costs and for maintaining safe and secure operation. These demands have been addressed by developing technology driven by IT. When replacing equipment at complex building or plants with high equipment density, the existing state of the installation locations and transportation routes for old and new equipment need to be properly measured. We have met this need by developing parts recognition technology based on 3D measurement, and by developing high-speed calculation technology of optimal routes for installation parts. This chapter provides an overview of these development projects with some real business application results.
KeywordsPoint Cloud Graphic Processing Unit Route Finding Build Information Model Terrestrial Laser Scan
The Hungarian authors thank for the support of the Hungarian Scientific Research Fund (OTKA), Grant No. 113038.
- 2.Alice O, Atsuko E, Norisuke F, Yoichi N, Juergen R, Sonja S, Michael E, Joerg K (2015) Automatic route-finding with non-monotonic-trend factor for large-scale plant maintenance task. In: Proceedings of 48th CIRP conference on manufacturing systems—CIRP CMS 2015Google Scholar
- 3.Arayici Y, Hamilton A, Gamito P (2006) Modelling 3D scanned data to visualise and analyse the built environment for regeneration. Surv Built Environ 17(2):7–28Google Scholar
- 6.Chang H, Li TY (1995) Assembly maintainability study with motion planning. In: Proceedings of the 1995 IEEE international conference robotics and automation, vol 1, pp 1012–1019Google Scholar
- 7.Enomoto A, Fujii N, Nonaka Y, Kolibabka J, Rasch J, Schulte S, Engelhardt M, Kaneko J, Ichijo T, Shibuta K (2014) Multiple path finding system for replacement tasks. In: 9th CIRP ICMEGoogle Scholar
- 8.9th DIMACS implementation challenge—shortest paths. http://www.dis.uniroma1.it/challenge9
- 15.Goldberg AV (2005–2010) Efficient point-to-point shortest path algorithms; technical report MSR-TR-2005-132Google Scholar
- 16.Hsu D, Kavraki LE, Latombe JC, Motwani R, Sorkin S (1998) On finding narrow passages with probabilistic roadmap planners. In Robotics: the algorithmic perspective: 1998 workshop on the algorithmic foundations of robotics, pp 141–154Google Scholar
- 17.Lei Z, Han S, Bouferguène A, Taghaddos H, Hermann U. Al-Hussein M (2014) Algorithm for mobile crane walking path planning in congested industrial plants. J Constr Eng Manag 141(2):05014016-1-10Google Scholar
- 20.Nonaka Y, Enomoto A, Fujii N, Kolibabka J, Rasch J, Schulte S, Engelhardt M, Kaneko J, Ichijo T, Shibuta K (2014) Fast path finding system with GPGPU computing for replacement tasks in plant maintenance. Proc CIRP TESCONF 22:23–32Google Scholar
- 25.Schrijver A (2002) Combinatorial optimization, vol A. Springer, pp 96–106Google Scholar