Intelligent machine for sorting semi-precious minerals
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Дата
2021-06-30
Автори
Polishchuk, Mikhail
Tkach, Mikhail
Parkhomey, Igor
Boiko, Juliy
Batrak, Yevhenii
Eromenko, Oleksander
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Назва тому
Видавець
Institute of Advanced Engineering and Science (IAES)
Анотація
This 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.
Опис
The 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.
Ключові слова
Artificial intelligence, Intelligent machine, Machine vision, Pixels, Sorting machine
Бібліографічний опис
Polishchuk 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.