Advertisement

Engineering Support Systems for Industrial Machines and Plants

  • Youichi NonakaEmail author
  • Takahiro Nakano
  • Kenji Ohya
  • Atsuko Enomoto
  • Gábor Erdős
  • Gergely Horváth
  • József Váncza
Chapter
Part of the Decision Engineering book series (DECENGIN)

Abstract

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.

Keywords

Point Cloud Graphic Processing Unit Route Finding Build Information Model Terrestrial Laser Scan 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

The Hungarian authors thank for the support of the Hungarian Scientific Research Fund (OTKA), Grant No. 113038.

References

  1. 1.
    Adolphy S, Grosser H, Kirsch L, Stark R (2015) Method for automated structuring of product data and its applications. Proc CIRP 38:153–158CrossRefGoogle Scholar
  2. 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. 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
  4. 4.
    Bosché F (2010) Automated recognition of 3D CAD model objects in laser scans and calculation of as-built dimensions for dimensional compliance control in construction. Adv Eng Inform 24(1):107–118CrossRefGoogle Scholar
  5. 5.
    Cai P, Cai Y, Chandrasekaran I, Zheng J (2016) Parallel genetic algorithm based automatic path planning for crane lifting in complex environments. Autom Constr 62:133–147CrossRefGoogle Scholar
  6. 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. 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. 8.
    9th DIMACS implementation challenge—shortest paths. http://www.dis.uniroma1.it/challenge9
  9. 9.
    Erdős G, Nakano T, Váncza J (2014) Adapting CAD models of complex engineering objects to measured point cloud data. CIRP Ann Manuf Technol 63(1):157–160CrossRefGoogle Scholar
  10. 10.
    Erdős G, Nakano T, Horváth G, Nonaka Y, Váncza J (2015) Recognition of complex engineering objects from large-scale point clouds. CIRP Ann Manuf Technol 64(1):165–168CrossRefGoogle Scholar
  11. 11.
    Farnsworth M, Tomiyama T (2014) Capturing, classification and concept generation for automated maintenance tasks. CIRP Ann Manuf Technol 63(1):149–152CrossRefGoogle Scholar
  12. 12.
    Fathi H, Dai F, Lourakis M (2015) Automated as-built 3D reconstruction of civil infrastructure using computer vision: achievements, opportunities, and challenges. Adv Eng Inform 29(2):149–161CrossRefGoogle Scholar
  13. 13.
    Geng J, Tian X, Bai M, Jia X, Liu X (2014) A design method for three-dimensional maintenance, repair and overhaul job card of complex products. Comput Ind 65(1):200–209CrossRefGoogle Scholar
  14. 14.
    Ghandi S, Masehian E (2015) Review and taxonomies of assembly and disassembly path planning problems and approaches. Comput Aided Des 67:58–86CrossRefGoogle Scholar
  15. 15.
    Goldberg AV (2005–2010) Efficient point-to-point shortest path algorithms; technical report MSR-TR-2005-132Google Scholar
  16. 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. 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
  18. 18.
    Németh I, Püspöki J, Cs Haraszkó, Gy Mátyási, Nagy T, Freeman Ch, Scott RW, Baldwin JS (2013) 3D design support for rapid virtual prototyping of manufacturing systems. Proc CIRP 7:431–436CrossRefGoogle Scholar
  19. 19.
    Nonaka Y, Enomoto A, Fujii N, Kolibabka J, Rasch J, Schulte S, Engelhardt M, Kaneko J, Ichijo T (2014) Fast path finding system with GPGPU computing for replacement tasks in plant maintenance. Proc CIRP 22:23–32CrossRefGoogle Scholar
  20. 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
  21. 21.
    Ochmann S, Vock R, Wessel R, Klein R (2016) Automatic reconstruction of parametric building models from indoor point clouds. Comput Graph 54:94–103CrossRefGoogle Scholar
  22. 22.
    Oesau S, Lafarge F, Alliez P (2014) Indoor scene reconstruction using feature sensitive primitive extraction and graph-cut. ISPRS J Photogramm Remote Sens 90:68–82CrossRefGoogle Scholar
  23. 23.
    Pătrăucean V, Armeni I, Nahangi M, Yeung J, Brilakis I, Haas C (2015) State of research in automatic as-built modelling. Adv Eng Inform 29(2):162–171CrossRefGoogle Scholar
  24. 24.
    Schön B, Mosa ASM, Laefer DF, Bertolotto M (2013) Octree-based indexing for 3D pointclouds within an Oracle spatial DBMS. Comput Geosci 51:430–438CrossRefGoogle Scholar
  25. 25.
    Schrijver A (2002) Combinatorial optimization, vol A. Springer, pp 96–106Google Scholar
  26. 26.
    Son H, Bosché F, Kim C (2015) As-built data acquisition and its use in production monitoring and automated layout of civil infrastructure: a survey. Adv Eng Inform 29(2):172–183CrossRefGoogle Scholar
  27. 27.
    Stark R, Grosser H, Müller P (2013) Product analysis automation for digital MRO based on intelligent 3D data acquisition. CIRP Ann Manuf Technol 62(1):123–126CrossRefGoogle Scholar
  28. 28.
    Tang P, Huber D, Akinci B, Lipman R, Lytle A (2010) Automatic reconstruction of as-built building information models from laser-scanned point clouds: a review of related techniques. Autom Constr 19(7):829–843CrossRefGoogle Scholar
  29. 29.
    Wang C, Cho YK (2015) Smart scanning and near real-time 3D surface modeling of dynamic construction equipment from a point cloud. Autom Constr 49:239–249CrossRefGoogle Scholar
  30. 30.
    Wang J, Gu D, Yu Z, Tan C, Zhou L (2012) A framework for 3D model reconstruction in reverse engineering. Comput Ind Eng 63:1189–1200CrossRefGoogle Scholar
  31. 31.
    Xiong X, Adan A, Akinci B, Huber D (2013) Automatic creation of semantically rich 3D building models from laser scanner data. Autom Constr 31:325–337CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Youichi Nonaka
    • 1
    Email author
  • Takahiro Nakano
    • 1
  • Kenji Ohya
    • 1
  • Atsuko Enomoto
    • 1
  • Gábor Erdős
    • 2
  • Gergely Horváth
    • 2
  • József Váncza
    • 2
  1. 1.Research & Development GroupHitachi, Ltd.YokohamaJapan
  2. 2.Institute for Computer Science and Control, Hungarian Academy of SciencesBudapestHungary

Personalised recommendations