IPLUSO 25644
Industrial Networks and Supervisory Systems
Automation and Computer Systems
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ApresentaçãoPresentationThe Industrial Networks and Supervisory Systems course aims to introduce essential concepts and tools in the context of understanding the constituent elements of automation networks, covering the various protocols associated with each layer. Students develop procedures for communication between PLCs in a TCP/IP/Modbus network, analyze and design network diagrams at the IP level, and implement the various services present in an automation network. Students develop supervisory systems based on Node RED.
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ProgramaProgrammeCP1. Understanding: signal transmission; digital communication; signal coding; channel transmission capacity; error control; experimental testing of communication protocols between ModBUS, ProfiBUS, and Ethernet devices. CP2. OSI model and TCP/IP model; special network topologies and nodes; Media Access Protocols. CP3. Detailed study of some fieldbuses: ModBUS, CAN, Profibus, Sensor Networks (ASi), Ethernet-Profinet. CP4. Concepts of supervisory systems; architecture of SCADA (Supervisory Control and Data Acquisition) systems. CP5. Study of automation solutions and communication networks applied to manufacturing environments. CP6. Understanding digital image processing: basic operations, image preprocessing, and object recognition.
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ObjectivosObjectivesLO1. Explain the capabilities and limitations of signal modification methods, the main rules for accessing the medium, and error control methods in industrial automation networks; LO2. Analyze and evaluate the characteristics of various industrial data communication networks and interpret their specifications; LO3. Experimentally develop SCADA applications with specific software and utilize control, data processing, and image processing techniques.
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BibliografiaBibliography– Slides fornecidos pelo docente. – Jordan, J., Serial Networked Field Instrumentation, Wiley, 1995. – Mahalik, N., Fieldbus Technology: Industrial Network Standards for Real-Time Distributed Control, Springer, 2003. – Boyer, S. A., SCADA: Supervisory Control and Data Acquisition, ISA, 2nd. Ed., 1999. - Halsall, F., Data Communications, Computer Networks and Open Systems, Ad.-Wesley, 1996. – Weigmann, J., Kilian G., Decentralization with profibus-dp : architecture and fundamentals, configuration and use with SIMATIC S7 , Verlag : Publicis MCD, 2000 – Gonzalez, R. C., Woods, R. E., Digital image processing using Matlab, Prentice Hall, 2004 – https://www.se.com/ww/en/work/services/field-services/industrial-automation/training-services/plc-training/
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MetodologiaMethodologyThe topics are further explored through practical labs for each of the different topics, supported by guides provided by the instructor, and through a practical project carried out in groups, corresponding to 35% of the grade. Learning outcomes are individually assessed through a written test or final exam, each weighing 50% of the grade. Students must analyze and present an academic article, which is weighted 25% towards the assessment. Thus, the final grade will be 50% theory + 35% practice + 15% academic article (NF = 0.5*T + 0.35*P + 0.15*A).
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LínguaLanguagePortuguês
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TipoTypeSemestral
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ECTS7
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NaturezaNatureMandatory
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EstágioInternshipNão




