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An approach to integrating manufacturing data from legacy Injection Moulding Machines using OPC UA

2021-09-06Conference object Open access
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dc.contributor.authorMartins, André
dc.contributor.authorMiguel Lopes e Silva, Bruno
dc.contributor.authorCostelha, Hugo
dc.contributor.authorNeves, Carlos
dc.contributor.authorLyons, John
dc.contributor.authorCosgrove, John
dc.date.accessioned2022-01-03T15:02:09Z
dc.date.available2022-01-03T15:02:09Z
dc.date.issued2021-09-06
dc.description.abstractTo achieve the ambitions related with the concept of a Smart Factory, manufacturers of new industrial devices have been developing and releasing products capable of integrating themselves into fully-connected environments, with the communication capabilities and advanced specifications required. In these environments, the automatic retrieval of data across the shop floor is a must, allowing the analysis of machine performance for increased production quality and outputs. On most of the recently released industrial devices this machine data is readily available. However, the same is not true when using legacy devices. It is also well established that most SMEs are unable or do not intend to radically replace their industrial devices with this purpose only, since that would imply a high investment, and mainly because many of these legacy machines remain highly productive. That said, there is a need to develop integration methodologies for these legacy industrial devices and provide them with smart factory communication capabilities that make them suitable for the new Smart Factory environments. In this work, an approach is proposed, using as a case study an industrial shop floor, to integrate data from a range of injection moulding machines, from different generations and different models / manufacturers. This equipment diversity renders the automatic interconnection extremely challenging, but is also representative of many existing industrial scenarios. This research will contribute to the development of integration methodologies and, consequently, improve equipment compatibility. To apply these methodologies, information about specific machines within the shop floor was gathered, as well as their communication and I/O capabilities, together with other features deemed relevant. A trend in recently released machines can be identified, revealing a special focus on the use of OPC UA standard, making use of its address space based on the structured Euromap information models. On the other hand, the legacy devices mainly allow outputting a text file to an external storage unit connected to the machine, containing machine and injection cycles related information. Regarding the communication interfaces available, the Ethernet interface reveals to be the most common among the recently acquired machines, while USB is the main interface in older equipment. An experimental solution was developed for the presented case study, which uses the machine's USB interface to access these files at each injection cycle, mapping the acquired data to structured information model variables, according with Euromap specifications, and making it available through an OPC UA server address space. The developed server provides a standardized, interoperable, scalable, and secure approach for data exchange between the injection moulding machines and various OPC UA clients, allowing device monitoring and control during operation, as well as transmitting this data to higher-level management systems, e.g., MES and ERP systems. This solution shows that older legacy devices, available across the shop floors, can be retrofitted and integrated in Smart Factory scenarios, side-by-side with recently released equipment, giving production managers access to information needed to monitor and improve the production process, thus moving towards the Factories of the Future.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.urihttp://hdl.handle.net/10400.8/6444
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationS4PLAST - Sustainable Plastics Advanced Solutions (POCI-01-0247-FEDER-046089)pt_PT
dc.relationInstitute for Systems Engineering and Computers at Coimbra - INESC Coimbra
dc.relationINESC TEC- Institute for Systems and Computer Engineering, Technology and Science
dc.subjectSmart Factorypt_PT
dc.subjectLegacy Equipment Integrationpt_PT
dc.subjectInjection Moulding Machinept_PT
dc.subjectOPC UApt_PT
dc.titleAn approach to integrating manufacturing data from legacy Injection Moulding Machines using OPC UApt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleInstitute for Systems Engineering and Computers at Coimbra - INESC Coimbra
oaire.awardTitleINESC TEC- Institute for Systems and Computer Engineering, Technology and Science
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00308%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50014%2F2020/PT
oaire.citation.conferencePlaceAthlone, Irelandpt_PT
oaire.citation.title37th International Manufacturing Conference (IMC37)pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameMiguel Lopes e Silva
person.familyNameCostelha
person.familyNameNeves
person.givenNameBruno
person.givenNameHugo
person.givenNameCarlos
person.identifier0000000133901858
person.identifier.ciencia-id251A-02E4-D660
person.identifier.ciencia-id121F-8DCE-FEE4
person.identifier.ciencia-id931E-2249-DBA3
person.identifier.ciencia-idDC15-E18A-8C59
person.identifier.orcid0000-0002-2563-6596
person.identifier.orcid0000-0001-5139-1994
person.identifier.orcid0000-0003-0063-8592
person.identifier.orcid0000-0003-1733-3648
person.identifier.ridV-4722-2017
person.identifier.ridF-4684-2014
person.identifier.scopus-author-id24775187600
person.identifier.scopus-author-id26768153200
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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