dc.contributor.author | Martins, André | |
dc.contributor.author | Lucas, João | |
dc.contributor.author | Costelha, Hugo | |
dc.contributor.author | Neves, Carlos | |
dc.date.accessioned | 2023-07-11T10:31:31Z | |
dc.date.available | 2023-07-11T10:31:31Z | |
dc.date.copyright | 2023 | |
dc.date.issued | 2023-06-07 | |
dc.identifier.citation | Martins, A., Lucas, J., Costelha, H. and Neves, C. (2023) CNC Machines Integration in Smart Factories using OPC UA, Journal of Industrial Information Integration, 34(100482), pp. 1-11. https://doi.org/10.1016/j.jii.2023.100482 | en_US |
dc.identifier.uri | https://research.thea.ie/handle/20.500.12065/4563 | |
dc.description.abstract | This paper examines the idea of Industry 4.0 from the perspective of the molds industry, a vital industry in today’s industrial panorama. Several technologies, particularly in the area of machining equipment, have been introduced as a result of the industry’s constant modernization. This technological diversity makes automatic interconnection with production management software extremely difficult, as each brand and model requires different, mostly proprietary, interfaces and communication protocols. In the methodology presented in this paper, a development of monitoring solutions for machining devices is defined supporting the leading equipment and operations used by molds industry companies. OPC UA is employed for high-level
communication between the various systems for a standardized approach. The approach combines various machine interfaces on a single system to cover a significant subset of machining equipment currently used by the molds industry, as a key result of this paper and given the variety of monitoring systems and communication protocols. This type of all-in-one approach will provide production managers with the information they need to monitor and improve the complete manufacturing process. | en_US |
dc.format | application/pdf | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier | en_US |
dc.relation.ispartof | Journal of Industrial Information Integration | en_US |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | Equipment integration | en_US |
dc.subject | Smart factory | en_US |
dc.subject | Industry 4.0 | en_US |
dc.subject | OPC UA | en_US |
dc.subject | Machine monitoring | en_US |
dc.subject | Computer numeric control | en_US |
dc.title | CNC Machines Integration in Smart Factories using OPC UA | en_US |
dc.type | info:eu-repo/semantics/article | en_US |
dc.contributor.affiliation | Technological University of the Shannon: Midlands Midwest | en_US |
dc.description.peerreview | yes | en_US |
dc.identifier.doi | 10.1016/j.jii.2023.100482 | en_US |
dc.identifier.eissn | 2452-414X | |
dc.identifier.endpage | 11 | en_US |
dc.identifier.orcid | https://orcid.org/0000-0002-2563-6596 | en_US |
dc.identifier.startpage | 1 | en_US |
dc.identifier.volume | 34 | en_US |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | en_US |
dc.subject.department | Department of Electrical & Electronic Engineering | en_US |
dc.type.version | info:eu-repo/semantics/publishedVersion | en_US |