Uporaba AI za analizo in vrednotenje podatkov proizvodnih sistemov

zaključna naloga Razvojno raziskovalnega programa I. stopnje Strojništvo

Jan Šibelja (Author), Marko Šimic (Mentor), Niko Herakovič (Co-mentor)

Abstract

Diplomska naloga predstavlja pregled stanja uporabe metod umetne inteligence za analizo in vrednotenje podatkov v proizvodnih sistemih. Najprej smo na kratko razložili, kaj umetna inteligenca sploh je, kako je njen razvoj potekal skozi čas in na katera področja se deli. V naslednjem poglavju smo podrobneje predstavili metode strojnega učenja, področja umetne inteligence, ki se uporablja v povezavi z analizo in vrednotenje podatkov. V nadaljevanju smo predstavili moderne trende razvoja v proizvodnih sistemih ter prikazali smernice, ki vodijo do sodobnega koncepta proizvodnega sistema prihodnosti % pametne tovarne, ki smo jo podrobneje opisali z vidika uporabe umetne inteligence. Ob tem smo razložili vlogo vedno večje količine podatkov in povezljivosti med podsistemi, ter probleme, ki s tem nastanejo. Na zadnje smo našteli in opisali primere uporabe algoritmov strojnega učenja na različnih področjih proizvodnega sistema, torej katere podatke obdelujejo, in na kakšen način pripomorejo k izboljšanju samega procesa.

Keywords

diplomske naloge;umetna inteligenca;strojno učenje;industrija 4.0;pametna tovarna;analiza podatkov;napredni algoritmi;

Data

Language:	Slovenian
Year of publishing:	2020
Typology:	2.11 - Undergraduate Thesis
Organization:	UL FS - Faculty of Mechanical Engineering
Publisher:	[J. Šibelja]
UDC:	004.896:004.85:658.5(043.2)
COBISS:	32081411
Views:	758
Downloads:	143
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Use of Al for data analysis and evaluation in manufacturing systems
Secondary abstract:	This paper represents an overview of utilization of artificial intelligence for data analysis and and evaluation in manufacturing systems. Firstly, we briefly explained the meaning of artificial intelligence, the course of its developement, and of what fields it is composed of. In the next chapter we focused on presenting basic methods of machine learning, field of artificial intelligence, which is most commonly associated with analysis and evaluation of data. Then, we presented modern trends of developement in manufacturing and showed the guidelines, which lead to the concept of future production system % smart factory. By doing that, we emphasized the emerging role of larger and larger quantities of data and interconnectivity between devices, and possible problems that come along with it. Lastly, we listed and described cases of application of machine learning algorithms in different areas of manufacturing system, which type of data they process and in what way they improve the processes itself.
Secondary keywords:	thesis;artificial intelligence;machine learning;industry 4.0;smart factory;data analysis;advanced algorithms;
Type (COBISS):	Final paper
Study programme:	0
Embargo end date (OpenAIRE):	1970-01-01
Thesis comment:	Univ. v Ljubljani, Fak. za strojništvo
Pages:	X, 28 f.
ID:	12036948