The application of image analysis methods in selected issue solution dedicated for overhead travelling

• Autorzy: Hyla A. , Szpytko J.

Identyfikatory

DOI

10.5604/12314005.1133879

• Języki publikacji: EN

Abstrakty

EN

The paper talk over the proposal of use a combined vision system architecture for solved well known issue occurring in material handling devices (MHDs) exploitation, especially in the crane devices. The described in the presented paper stereovision system for work space mapping and non-contact sensor type for rope angle swinging measure were a part of solutions enabling a full autonomous navigation system (ANS) realized by the overhead travelling crane. In the paper special authors care was dedicated on two issues. The first one was connected with MHDs workspace mapping with built three-dimensional model of their structure. The second part of the paper considering the possibility of attaches image analysis technique into non-contact rope swinging sensor architecture. In this paper, two main problems were identified: crane workspace visualization and need of develop new type of anti-sway technique. For workspace, visualization technique of author's proposed, well known stereovision, but not in standard architecture (to compose stereovision picture one camera was use). In terms of anti-sway technique, authors choose close-loop control system. Thus was develop non-contact anti sway sensor. The common point of both developed methods (anti sway solution and workspace visualization) is vision methods. At the end raises a following conclusion: vision systems and image analysis method are perfect not only in acquiring an information about crane workspace and potential obstacles dimension (stereovision), but also useful as a standalone measurements system of chosen and useful crane parameters. All tests were conducted on the physical model of the scaled overhead travelling crane with 150 kg hosting capability.

Słowa kluczowe

EN

image analysis; overhead travelling crane; workspace visualization; non-contact swinging sensor

• Wydawca: Łukasiewicz Research Network - Institute of Aviation ; European Science Society of Powertrain and Transport KONES Poland ; Wydawnictwo Instytutu Technicznego Wojsk Lotniczych
• Czasopismo: Journal of KONES
• Rocznik: 2014
• Tom: Vol. 21, No. 2
• Strony: 97--104
• Opis fizyczny: Bibliogr. 26 poz., rys.

Twórcy

autor

Hyla A.

• AGH University of Science and Technology Faculty of Mechanical Engineering and Robotics Faculty of Mechanical Engineering Mickiewicza Av. 30, PL 30-059 Krakow, Poland tel.: + 48 12 6173104, tel.: + 48 12 6173103, fax: + 48 12 6173531

autor

Szpytko J.

• AGH University of Science and Technology Faculty of Mechanical Engineering and Robotics Faculty of Mechanical Engineering Mickiewicza Av. 30, PL 30-059 Krakow, Poland tel.: + 48 12 6173104, tel.: + 48 12 6173103, fax: + 48 12 6173531

Bibliografia

• [1] Smoczek, J, Szpytko, J., Hyla, P., Non-collision path planning of a payload in crane operating space, Solid State Phenomena, Mechatronic Systems and Materials IV, Vol. 198, pp. 559-564, 2013.
• [2] Hyla, P., The crane control systems: A survey, Proceedings of the 17th International Conference of Methods and Models in Automation and Robotics MMAR 2012, , pp. 505-509,Międzyzdroje, Poland, 2012.
• [3] Yoon, H. J., Hwang Y. Ch., Cha, E. Y., Real-time container position estimation method using stereo vision for container auto-landing system, International Conference on Control, Automation and Systems, pp. 872-876, 2010.
• [4] Szpytko, J., Wozniak, D. A., To keep operational potential of transport device e-based on reliability indicators, European Safety and Reliability Conference ESREL, pp. 2377-2384, Stavanger, Norway 2007.
• [5] Smalko, Z., Szpytko, J., Safety in engineering practice, 17th European Safety and Reliability Conf. ESREL, pp. 1231-1237, Valencia, Spain 2009.
• [6] Smoczek, J., Szpytko, J., A mechatronics approach in intelligent control systems of theoverhead traveling cranes prototyping, Information Technology and Control, Vol. 37(2), pp. 154-158, 2008.
• [7] Szpytko, J., Hyla, P., Disparity compute methods in three-dimensional scene reconstruction for overhead travelling crane work space visualization, Journal of KONES Powertrain and Transport Means, Vol. 19, No 3, , pp. 421-428, Warsaw 2012.
• [8] Smoczek, J., Genetic fuzzy approach for designing a gain scheduling anti-sway crane control system, Solid State Phenomena, 198, pp. 501-506, 2013.
• [9] Smoczek, J., Szpytko, J., Design of gain scheduling anti-sway crane controller using genetic fuzzy system, Proceedings of IFAC 17th International Conference on Methods and Models in Automation and Robotics MMAR, pp. 573-578, 2012.
• [10] Smoczek, J., Szpytko, J., Fuzzy logic approach to the gain scheduling crane control system, Proceedings of 15th IFAC International Conference on Methods and Models in Automation and Robotics MMAR, pp. 261-266, 2010.
• [11] McBride, J., Snorrason, M., Goodsell, T., Eaton, R., Stevens, M. R., Single camera stereo for mobile robot surveillance, Computer Vision and Pattern Recognition – Workshops, Vol. 1, IEEE Computer Society Conference on CVPR Workshops, 2005.
• [12] Olson, C. F., Abi-Rached, H., Ming, Ye, Hendrich, J. P., Wide-baseline stereo vision for Mars rovers, In Proceedings of International Conference on Intelligent Robots and Systems IROS 2003, Vol. 2, , pp. 1302-1307, 2003.
• [13] Ambrosch, K., Humenberger, M., Olufs, S., Schraml, S., Embedded stereo vision, In: Belbachir, A.N., Smart Cameras, Springer Science, New York-Dordrecht-Heidelburg-London 2010.
• [14] Brewer, N., Liu, N., Wang, L., Stereo disparity calculation in real-world scenes with Informative Image Partitioning, Proceedings of 25th International Conference of Image and Vision Computing New Zealand (IVCNZ '10), pp. 1-8, 2010.
• [15] McBride, J., Snorrason, M., Goodsell, T., Eaton, R., Stevens, M.R., Single camera stereo for mobile robot surveillance, Computer Vision and Pattern Recognition – Workshops, Vol. 1, IEEE Computer Society Conference on CVPR Workshops, 2005.
• [16] Lovegrove, W., Brame, B., Single-camera stereo vision for obstacle detection in mobile robots, Proc. of SPIE, Vol. 6764, pp. 1-2, 2007.
• [17] Zhu, Z., Lin, X., Shi D., Xu, G., A single camera stereo system for obstacle detection, World Multiconference on Systemics, Cybernetics and Informatics – 4th International Conference on Information Systems Analysis and Synthesis, Vol. 3, pp. 230-237, 1998.
• [18] Hyla, P., Szpytko, J., Vision method for rope angle swing measurement for overhead travelling crane – validation approach, Activities of Transport Telematics, Communications in Computer and Information Science, Vol. 395, pp. 370-377, 2013.
• [19] Smoczek, J., Evolutionary optimization of interval mathematics-based design of TSK fuzzy controller for anti-sway crane control, International Journal of Applied Mathematics and Computer Science, Vol. 23(4), pp. 749-759, 2013.
• [20] Smoczek, J., Interval arithmetic-based fuzzy discrete-time crane control scheme design, Bulletin of the Polish Academy of Sciences - Technical Sciences, Vol. 61(4), pp. 863-870, 2013.
• [21] Sawodnya, O., Aschemannb, H., Lahresc, S., An automated gantry crane as a large workspace robot, Control Engineering Practice, Vol. 10, pp. 1323-1338, 2002.
• [22] Ahuja, S., Function compute correlation between two images using various similarity measures with left image as reference, Electronic document, Content avalaible on-line at http://www.sciweavers.org/tutorials/correlation-based-similarity-measures-summary,last visit: 10 January 2014.
• [23] Kytö, M., Nuutinen M., Oittinen, P., Method for measuring stereo camera depth accuracy based on stereoscopic vision, Proc. of SPIE, Vol. 7864, pp. 1-9, 2011.
• [24] Yang, Q., Wang, L., Yang, R., Stewenius, H., Nister, D., Stereo matching with color-weighted correlation, hierarchical belief propagation and occlusion handling, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, No. 3, pp. 1-13, 2009.
• [25] Benhidjeb, A., Gissinger, G. L., Fuzzy control of an overhead crane performance comparison with classic control, Control Engineering Practice, Vol. 3, No. 12, pp. 1687-1696, 1995.
• [26] Giua, A., Seatzu, C., Usai, G., Observer-controller design for cranes via Lyapunov equivalence, Automatica, Vol. 35, No 4, pp. 669-678, 1999.