METHODS AND MEANS OF INCREASING THE ACCURACY OF DETERMINING THE STATE OF THE OBJECT

Year 2021, , 469 - 476, 30.12.2021

Lala Bekirova , Elvira Bunyatova

https://doi.org/10.46519/ij3dptdi.958217

Abstract

In order to determine the state of the object, the distance to it, inclination, density, etc. various types of sensors setting parameters with high accuracy, as well as methods and means to increase the accuracy of setting these parameters are presented in the article. The types of the presented sensors, the principles of operation, areas of application have been comparatively analyzed, their classification has been considered and their pros and cons have been analyzed. Among the considered methods, a complex method with laser sensors, which is an expedient method for determining the distance to the object with high accuracy, has been proposed, the principle-structural model, areas of application, features, advantages and disadvantages of the functional model have been analyzed. The proposed method with high temperature stability determines the distance to the object, inclination, density, etc. the possibility of measurement is shown. The optical system, which uses a laser source and sensors being capable of taking measurements in the visible range, is accompanied by perfect control based on sensor circuits and processing microcontrollers to achieve optimal results in the complex measurement and control process that allows determining the characteristic parameters with high accuracy that set the state of a high object.

Supporting Institution

Azerbaycan Devlet Petrol ve Sanayi Üniversitesi

References

• 1. Young - Soo Suh, “Laser Sensors for Displacement, Distance and Position”, Sensors, Vol.19, Issue 8, Pages 4, 2019.
• 2. Veiko, V.P., Petrov, A.A., Samokhvalov, A.A. “Introduction to Laser Technology. Basic lecture notes for the course “Laser technologies” edited by V.P. Veiko ”, St. Petersburg, P. 161, 2018.
• 3. Морозова, А.В., «Бесконтактные методы измерения расстояния в системах автоматического контроля», Бакалаврская работа, Томск, Россия, 94 с., 2021.
• 4. Fonseca, J. A. S. D., Baptista A., Martins M. J., Paulo N. Torres J., Distance Measurement Systems Using Lasers and Their Applications, Applied Physics Research, Vol. 9, No. 4, Pages 33-43, 2017.
• 5. Berkovic, G., Shafir, E., “Optical methods for distance and displacement measurements”, Advances in Optics and Photonics, Vol.4, İssue 4, Pages 441-471, 2012.
• 6. Бурибаев, Ж., Меретбаев, Т., Ешмухаметов, А., Амиргалиев, Е., «Обнаружение и расчет координат обьекта с использованием стерео зрения для автоматической уборки урожая», Вестник КазНИТУ №5, Алматы, Казахстан, 11 с., 2020.
• 7. Hu, Y., Miyashita, L., Watanabe, Y., Ishikawa, M., “Visual Calibration for Multiview Laser Doppler Speed Sensing”, Sensors, Vol.19, Issue 8, Page 12, 2019.
• 8. Bräunl, T., “Lidar Sensors”, Robot Adventures in Python and C, № 1, Pages 47-51, 2020.
• 9. Daneshpanah, M., Harding, K., “Surface sensitivity reduction in laser triangulation sensors”, SPIE Optical Engineering + Applications, Pages 9, San Diego, California, United States, 2011.
• 10. Blanco, D., Fernandez, P., Cuesta, E., Mateos, S., Beltron, N., “Influence of Surface Material on the Quality of Laser Triangulation Digitized Point Clouds for Reverse Engineering Tasks”, Proceedings of 12th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2009, September 22-25, 2008, Palma de Mallorca, Spain.
• 11. Denisov, E.S., Salakhova, A.Sh., Timergalina, G.V., Nikishin, T.P., and Fazlyyyakhmatov, M.G., “Three-Beam Triangulating Sensor”, IOP Conf. Series: Materials Science and Engineering, Vol. 86, Issue 1, Pages 656-670, Kazan, Russian Federation, 2015.