Szczegóły publikacji
Opis bibliograficzny
The usege of artificial intelligence in the activities of mining enterprises / Vladyslav Psyuk, Alla POLYANSKA // E3S Web of Conferences [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 2267-1242. — 2024 — vol. 526 art. no. 01016, s. 1–11. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 9–11, Abstr. — Publikacja dostępna online od: 2024-05-20. — A. Polyanska - błędna afiliacja: Dnipro University of Technology, Dnipro, Ukraine. — Mineral Resources & Energy Congress (SEP 2024) : Cracow, Poland, February 26–28, 2024
Autorzy (2)
- Psyuk Vladyslav
- AGHPolyanska Alla
Dane bibliometryczne
| ID BaDAP | 155508 |
|---|---|
| Data dodania do BaDAP | 2024-10-22 |
| Tekst źródłowy | URL |
| DOI | 10.1051/e3sconf/202452601016 |
| Rok publikacji | 2024 |
| Typ publikacji | referat w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | E3S Web of Conferences |
Abstract
The achievements of Industry 4.0 are penetrating more and more widely and deeply into various spheres of economic activity. The article discusses the directions of using artificial intelligence (AI) in solving the problems of development in mining enterprises. Methods of achieving results in various directions using AI have been determined. Based on the characteristics of neural networks formation components, the model of the integration of neural networks into the information system of the mining enterprise as well as the main components of this model, their connection and dependencies are determined. The architecture of the proposed information system is described, which consists of four zones: the corporate zone, the operational zone, the control zone, and the intermediate zone. It was hightnlined that the functioning of the operating system of this model depends on the sensors that are installed on the mining equipments in the operational area of the enterprise. It is noted that the number of such sensors depends on the amount of data accumulated because of the activity of the enterprise's equipment and the efficiency of the construction and functioning of neural networks. The factors that determine the effectiveness of the model and the precision of neural networks in the activity of mining enterprises are substantiated. It was established that the main criterion is the amount of information needed to analyze the object's behavior and the possibility of predicting it in the future. The dependence of the effectiveness of the application of AI technologies on the level of digitization of the enterprise was considered, and it was also proposed to determine the indicators of the accuracy and efficiency of the functioning of neural networks in the information systems of the enterprise.
