Methodology of automatic registration of 3D measurements of bulk materials in granaries
Astapenko N.V., Koshekov K.T., Kolesnikov A.N.

 

M. Kozybayev North-Kazakhstan State University, Petropavlovsk, Republic of Kazakhstan,

IT company Arbonaut, Joensuu, Finland

 PDF

Abstract:
In this article, we propose a technique for automatic contactless measurements of three-dimensional coordinates of surface points in a granary. The need for an automatic measurement and registration of surface points arises when conducting accurate measurements of the volume of bulk materials during stock-taking of raw materials and finished goods. A peculiarity of the technique consists in obtaining and recognizing the surface images in which the sought-for points are highlighted by laser light. The recognition process is closely related to camera specifications and a specific arrangement of laser diodes. The problems considered include the determination of parameters and location of the recording cameras, and the number and layout of the laser diodes, the implementation of 3D measurements from a set of images, and the selection of storage procedures for the measurement results. As a result of the experiments, it was proved that the proposed solution, which exploits the capabilities of photogrammetry and laser scanning methods, has a number of advantages over the existing methods in terms of efficiency, accuracy, the possibility of automation, the opportunity of monitoring the surface of the granary content at any time, and the possibility of remote tracking. Computerization of the described methods allows one not only to perform single volume measurements, but also to carry out a regular contactless monitoring of complex surfaces in locked warehouses for making managerial decisions.

Keywords:
image processing, 3D measurements, automation, contactless technology, bulk materials, granary.

Citation:
Astapenko NV, Koshekov KT, Kolesnikov AN. Methodology of automatic registration of 3D measurements of bulk materials in granaries. Computer optics 2018: 42(3); 510-520. DOI: 10.18287/2412-6179-2018-42-3-510-520.

References:

  1. Myrzabekova AM. Survey of modern systems for storage of grain crops. VI Scientific and Practical Conference “Information-measuring technology and technology” 2015: 95-101.
  2. Song J, Wang K, Zhang X. Measurement and control system based on wireless senor network for granary. 5th International Conference on Education, Management, Information and Medicine (EMIM) 2015: 256-260. DOI: DOI: 10.2991/emim-15.2015.50.
  3. Liu J. Design of granary temperature monitoring system based on virtual instrument technology. Advanced Materials Research 2012; 542-543: 212-216. DOI: 10.4028/www.scientific.net/AMR.542-543.212.
  4. Galande SG, Agrawal GH, Anap MS. A parameter monitoring and control of grain storage by embedded system. International Journal of Informative & Futuristic Research 2015; 2(11): 4172-4179.
  5. Kovrov AA. Technology of calculating rock volumes in a mine survey using a ground-based laser scanner RIEGL LMS Z420I [In Russian]. Marksheyderskiy Vestnik 2009; 1: 35-37. ISSN: 2073-0098.
  6. Measurement of production volumes and raw materials in warehouses, UnionGiprozem [In Russian]. Source: áhttp://www.souzgiprozem.ru/izyskaniya-izmerenie-obemov-vyrabotki-syriya.htmñ.
  7. High-precision measurement of bulk materials and inventory of raw materials stores. Source: áhttp://www.ngce.ru/izmerenie_obemov_sypuchih_materialov.htmlñ.
  8. Laser scanning of the open sandpit for volume calculation. Source: áhttp://trimetari.com/projects/laser-scanning-of-the-open-sandpit-for-volume-calculationñ.
  9. Koshekov KT, Klikushin YuN, Kobenko VYu, Evdokimov YuK, Demyanenko AV. Fuel cell diagnostics using identification measurement Theory. Journal of Fuel Cell Science and Technology 2014; 11(5): 051003. DOI: 10.1115/1.4027395.
  10. Koshekov KT, Astapenko NV. Classification and selection of methods of recognition of the automated information monitoring system of granary [In Russian]. In Book: Interexpo GEO-Siberia-2016. International conference “Remote sensing methods of the Earth and photogrammetry, environmental monitoring, geoecology”. Novosibirsk: “SGUGiT” Publisher; 2016; 1: 40-45.
  11. Seredovich VA, Komissarov AV, Komissarov DV, Shirokova TA. Surface laser scanning [In Russian]. Novosibirsk: “SSGA” Publisher, 2009. ISBN: 978-5-87693-336-2.
  12. Koshan YeK. Possibilities, advantages and disadvantages of surface laser scanning [In Russian]. Interexpo GEO-Siberia-2017 2017; 9(1): 27-30.
  13. Kadobayashi R, Kochi N, Otani H, Furukawa R. Comparison and evaluation of laser scanning and photogrammetry and their combined use for digital recording of cultural heritage. XXth ISPRS Congress: Proceedings of Commission V 2004: WG V/4.
  14. Roy DN. Experience in using the method of ground-based laser scanning for works in the field of historical and cultural heritage [In Russian]. GeoProfi 2007; 2: 20-23.
  15. Qing Sh, Tao X, Yoshino T, Yujie Z, Wenting Y, Hang Z. Point cloud simplification algorithm based on particle swarm optimization for online measurement of stored bulk grain. Int J Agric & Biol Eng 2016; 9(1): 71-78. DOI: 10.3965 / j.ijabe.20160901.1805.
  16. Cheng L, Wu Y, Chen S, Zong W, Yuan Y, Sun Y, Zhuang Q, Li M. A symmetry-based method for LiDAR point registration. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2018; 11(1): 285-299. DOI: 10.1109/JSTARS.2017.2752765.
  17. Koshekov KT, Astapenko NV. Method and algorithm for calculating the volume of determined discrete 3D surface using lagrangepolynomials. Mathematical and Computer Modeling 2015; 3(39): 86-92.
  18. Sansoni G, Trebeschi M, Docchio F. State-of-the-art and applications of 3D imaging sensors in industry, cultural heritage, medicine, and criminal investigation. Sensors 2009; 9: 568-601. DOI: 10.3390/s90100568.
  19. Blais F, Rioux M, Beraldin J-A. Practical considerations for a design of a high precision 3-D laser scanner system. Proc SPIE 1988; 959: 225-246. DOI: 10.1117/12.947787.
  20. Damjanovski V. CCTV: Networking and Digital Technology. 2nd ed. Burlington, Oxford: Elsevier Butterworth-Heinemann; 2005. ISBN: 0-7506-7800-3.
  21. Astapenko NV, Koshekov KT, Petrov PA. Design of the granary technological process control subsystem for monitoring of the grain volume in a silo. 10th IEEE International Scientific and Technical Conference on Dynamics of Systems, Mechanisms and Machines (Dynamics) 2016. DOI: 10.1109/Dynamics.2016.7818971.
  22. Astapenko NV, Koshekov KT, Kolesnikov AN, Kashevkin AA, Gurin NYu. Automated control scheming of granary operating procedures. Asian Journal of Applied Sciences 2017; 5(3): 634-641. DOI: 10.24203/ajas.v5i3.4502.

© 2009, IPSI RAS
151, Molodogvardeiskaya str., Samara, 443001, Russia; E-mail: journal@computeroptics.ru ; Tel: +7 (846) 242-41-24 (Executive secretary), +7 (846) 332-56-22 (Issuing editor), Fax: +7 (846) 332-56-20