Abstract
In the steel industry, it is not possible to measure billets’ length at the end of the cutting process of a continuous casting machine, due to the high temperatures. To have this measure the billets have to have natural cooling for 24 h. The system developed captures an image of the billets and gets its length in real-time using the AdaBoost algorithm, this algorithm is an artificial vision application through the color segmentation method in HSV space. The system allows obtaining a calculated length near to 99% of the real.
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References
Hao, Z., Tielin, L., Hong, L., Zheng, W.: Optimization design for beam and column of steel structure residence. In: Proceedings - 8th International Conference on Intelligent Computation Technology and Automation, ICICTA 2015, pp. 609–612 (2016). https://doi.org/10.1109/ICICTA.2015.155
Clitan, I., Muresan, V., Abrudean, M., Monica, S.D.: Automatic determination of optimal length of casting steel blocks in the context of an imprecise manufacturing. In: Proceedings - 2017 21st International Conference on Control Systems and Computer, CSCS 2017, pp. 99–105 (2017). https://doi.org/10.1109/CSCS.2017.20
Zhao, L., Dou, R., Yin, J., Yao, Y.: Intelligent prediction method of quality for continuous casting process. In: Proceedings of 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2016, pp. 1761–1764 (2017). https://doi.org/10.1109/IMCEC.2016.7867521
Santos, J.L., Santos, J., Ferreira, M.J., Alves, N., Guevara, M.: Application of the two-stage one-dimensional cutting stock problem in the steel industry. In: IEEE International Symposium on Industrial Electronics, vol. 2018-June, pp. 683–690 (2018). https://doi.org/10.1109/ISIE.2018.8433734
Anuchin, A., Dianov, A., Briz, F.: Synchronous constant elapsed time speed estimation using incremental encoders. IEEE/ASME Trans. Mechatron. 24(4), 1893–1901 (2019). https://doi.org/10.1109/tmech.2019.2928950
Isaev, D.: Implementation of electric drive of withdrawal-roll set in horizontal continuous casting machine for the production of small billets. In: 2016 9th International Conference on Power Drives Systems, ICPDS 2016 - Conference Proceedings, pp. 1–4 (2016). https://doi.org/10.1109/ICPDS.2016.7756723
Zhang, X., Xu, S.: Research on image processing technology of computer vision algorithm. In: Proceedings - 2020 International Conference on Computer Vision, Image and Deep Learning, CVIDL 2020, no. Cvidl, pp. 122–124 (2020). https://doi.org/10.1109/CVIDL51233.2020.00030
Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features (2001)
Barbona, I., Beltrán, C.: Aplicación del algoritmo Boosting Adaptativo (ADABOOST) a un problema de clasificación automática de textos Application of the Adaptive Boosting Algorithm (ADABOOST) to a problem of automatic text classification (2018)
Hsu, C.Y., Ho, B.S., Kang, L.W., Weng, M.F., Lin, C.Y.: Fast vision-based surface inspection of defects for steel billets. In: 2016 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2016, vol. 0267, pp. 1–2 (2017). https://doi.org/10.1109/ICCE-Asia.2016.7804804
Astafiev, A.V., Orlov, A.A., Provotorov, A.V., Privezentsev, D.G.: Development of the automatic marking identification system based on two-stage visual recognition of metal-rolling billets. In: 2016 Dynamics of Systems, Mechanisms and Machines, Dynamics 2016, pp. 1–4 (2017). https://doi.org/10.1109/Dynamics.2016.7818970
Culjak, I., Abram, D., Pribanic, T., Dzapo, H., Cifrek, M.: A brief introduction to OpenCV (2012)
Cruz, J.E.C., Shiguemori, E.H., Guimarães, L.N.F.: A comparison of Haar-like, LBP and HOG approaches to concrete and asphalt runway detection in high resolution imagery. J. Comp. Int. Sci 6(3), 3–20 (2015). https://doi.org/10.6062/jcis.2015.06.01.0101
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Sánchez-Pozo, RX., Larco, V. (2023). Development of a System Based on an Artificial Vision to Determine the Length of Billets in the Cutting Process in Steel Mills. In: Robles-Bykbaev, V., Mula, J., Reynoso-Meza, G. (eds) Intelligent Technologies: Design and Applications for Society. CITIS 2022. Lecture Notes in Networks and Systems, vol 607. Springer, Cham. https://doi.org/10.1007/978-3-031-24327-1_19
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DOI: https://doi.org/10.1007/978-3-031-24327-1_19
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