<link rel="stylesheet" href="styles.f3b1fba60ec7970c.css">

Прецизійна інтелектуальна гоніометрична система

Анотація

The paper is dedicated to the nowadays problem - the provision of precise and high-performance goniometric measurements, which are necessary for various modern scientific and economic tasks. Based on the analysis of physical phenomenon and the principles of laser spectroscopy, semiconductor photosensitive elements and neural network technologies, a new precise intelligent goniometric system has been proposed. This system allows precise angular measurements with the measurement information processing in real time during the preliminary installation of navigation sensing elements, flat angles and pyramidal prisms, as well as other production objects, and refractive index of optical glass. Precise intelligent goniometric system combines such advantages as high accuracy and speed of measurement, the ability to work in an automated mode and automated processing of measurement information, ease of use, versatility. The high speed of the proposed precise intelligent goniometric system is achieved due to the ability of the artificial neural network to simultaneously process a variety of digital data using parallel processing methods, thus the measurement time is significantly reduced. The accuracy of the precise intelligent goniometric system is achieved by using a non-inertial ring laser and CMOS sensor with high resolution and sensitivity as a sensing elements, which allows non-contact conversion of measured angle values and real-time information processing, as well as work in automated mode. The precise intelligent goniometric system proposed in the article is a modern and perspective development.

Опис

УДК

Тип документа

Мова

Бібліографічний опис

Черепанська І. Ю. Прецизійна інтелектуальна гоніометрична система [Текст] / І. Ю. Черепанська, О. М. Безвесільна, А. Ю. Сазонов // Вісник Вінницького політехнічного інституту. – 2019. – № 2. – С. 7-14.

Схвалення

Рецензія

Доповнено

Цитується в

Список використаної літератури (7)

  1. Optiko-emissionnyj spectrometr ARL 4460. [Electronic resource]. Accessed: https://thermotechno.ru/catalog/143/396/. Дата звернення: Листоп. 10, 2018.
  2. DataPhysics Instruments GmbH Raiffeisenstraße 34 D-70794 Filderstadt Germany [Electronic resource]. Accessed: http://www.nglabtec.com/dataphysics2/cat_da/DCAT11_E_Brochure.pdf. Date of appeal: Nov. 10, 2018.
  3. Moller-Wedel GmbH [Electronic resource]. Accessed: http://www.moeller-wedel-optical.com/produkte/goniometer/goniospektrometer. ht. Date of appeal: Octob. 18, 2018.
  4. I. Farrance, and R. Frenkel, “Uncertainty of Measurement,” A Review of the Rules for Calculating Uncertainty Components through Functional Relationships, Clin. Biochem, Rev, vol. 33, Issue 2, pp. 49-75, 2012.
  5. I. Cherepanska, E. Bezvesilna, A. Sazonov, and A. Lavrischev, “Automated technological complex to precise angles measurement based on goniometer,” Technological Complexes, № 1/2 (12), pp. 38-45, 2015.
  6. I. Cherepanska, E. Bezvesilna, A. Sazonov, S. Nechai, and O. Pidtychenko, “Development of artificial neural network for determining the components of errors when measuring angles using a goniometric software-hardware complex,” Eastern- European journal of enterprise technologies, № 9 (95), pp. 43-51, 2018.
  7. I. Cherepanska, E. Bezvesilna, A. Sazonov, S. Nechai, and T. Khylchenko, “The procedure for determining the number of measurements in the normalization of random error of an information-measuring system with elements of artificial intelligence,” Eastern-European journal of enterprise technologies, № 5/9 (89), pp. 58-67, 2017.