Intelligent machine for sorting semi-precious minerals

Скорочена інформація про документ
dc.contributor.authorPolishchuk, Mikhail
dc.contributor.authorTkach, Mikhail
dc.contributor.authorParkhomey, Igor
dc.contributor.authorBoiko, Juliy
dc.contributor.authorBatrak, Yevhenii
dc.contributor.authorEromenko, Oleksander
dc.date.accessioned2021-07-26T10:23:34Z
dc.date.available2021-07-26T10:23:34Z
dc.date.issued2021-06-30
dc.descriptionThe method is based on the use of charge-coupled device (CCD) matrices with a specific resolution, measured in pixels (pixel-picture element) per inch (ppi-pixels per inch). The essence of the method lies on the fact that initially the gross volume of the mineral arriving for sorting is determined, and then it is compared with one or more net volumes of manufactured products and then the sorted mineral is sent to containers that correspond to the minimum difference between the specified gross volume of the workpiece and the net volumes of products. This method allows us to minimize the waste of semi-precious and precious minerals in the manufacture of jewelry from them with specified dimensional parameters.uk_UA
dc.description.abstractThis paper proposes is devoted to solving the problem of sorting workpieces from minerals and semi-precious stones that are used in jewelry production. Intensive development of production leads to a reduction of natural resources, including semi-precious minerals. Therefore, the task of saving the use of minerals is relevant. The solution is based on the idea a new method for sorting semi-precious minerals is proposed, as well as the design of an intelligent installation for implementing this method. An increase in the accuracy of sorting semiprecious minerals has been achieved through the use of charge-coupled device (CCD) matrices, which automatically determine the volume of each mineral in 3D space. From the simulation work, it was found in comparison with manual sorting, the proposed method has reduced the amount of waste in the manufacture of jewelry by 15% ... 20%. Experimental studies were carried out using the example of such a semiprecious mineral as amber. The cost of raw amber in the amount of one kilogram on the modern market is in the range of 1200…2200 US dollars. The result confirms that the method is superior to the alternative method, with the achieved average waste saving of 20%, the proposed sorting technology makes it possible to obtain a profit of 240...440 US dollars per kilogram of amber. Ultimately, these solutions can improve the efficiency of jewelry production.uk_UA
dc.identifier.citationPolishchuk M. Intelligent machine for sorting semi-precious minerals / M. Polishchuk, M. Tkach, I. Parkhomey, J. Boiko, Y. Batrak, O. Eromenko // Indonesian Journal of Electrical Engineering and Computer Science. – 2021. – Vol. 22, nr. 3. – P. 1354-1364.uk_UA
dc.identifier.issn2502-4752
dc.identifier.issn2502-4760
dc.identifier.otherhttps://doi.org/10.11591/ijeecs.v22.i3.pp1354-1364
dc.identifier.urihttps://elar.khmnu.edu.ua/handle/123456789/10485
dc.language.isoenuk_UA
dc.publisherInstitute of Advanced Engineering and Science (IAES)uk_UA
dc.subjectArtificial intelligenceuk_UA
dc.subjectIntelligent machineuk_UA
dc.subjectMachine visionuk_UA
dc.subjectPixelsuk_UA
dc.subjectSorting machineuk_UA
dc.titleIntelligent machine for sorting semi-precious mineralsuk_UA
dc.typeСтаттяuk_UA
Файли
Контейнер файлів
Зараз показуємо 1 - 1 з 1
Назва:
23215-48297-1-PB (3).pdf
Розмір:
892.62 KB
Формат:
Adobe Portable Document Format
Опис:
Завантажити
Ліцензійна угода
Зараз показуємо 1 - 1 з 1
Назва:
license.txt
Розмір:
4.26 KB
Формат:
Item-specific license agreed upon to submission
Опис:
Завантажити
Зібрання
Кафедра телекомунікацій, медійних та інтелектуальних технологій