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Educational guide | |||||||||||||||||||||||||||||||||||||||
IDENTIFYING DATA | 2024_25 | |||||||||||||||||||||||||||||||||||||||
Subject | INDUSTRIAL SUPERVISION | Code | 00707043 | |||||||||||||||||||||||||||||||||||||
Study programme |
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Descriptors | Credit. | Type | Year | Period | ||||||||||||||||||||||||||||||||||||
6 | Optional | Fourth | Second |
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Language |
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Prerequisites | ||||||||||||||||||||||||||||||||||||||||
Department | ING.ELECTR.DE SIST. Y AUTOMATI |
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Coordinador |
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saloc@unileon.es jjfuem@unileon.es jrodo@unileon.es |
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Lecturers |
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Web | http://lra.unileon.es | |||||||||||||||||||||||||||||||||||||||
General description | This subject will provide students with the ability to design monitoring systems for industrial processes and plants, both from a local and remote point of view. The topics are structured in the following blocks: introduction and general concepts, industrial communications, monitoring systems (HMI and SCADA) and historical data storage and data analysis systems. | |||||||||||||||||||||||||||||||||||||||
Tribunales de Revisión |
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Competencias |
Code | |
A18679 | |
B5653 | |
B5655 | |
B5656 | |
B5665 | |
B5671 | |
B5672 | |
C2 | CMECES2 That students know how to apply their knowledge to their work or vocation in a professional manner and possess the skills that are usually demonstrated through the development and defense of arguments and the resolution of problems within their area of study. |
C5 | CMECES5 That students have developed those learning skills necessary to undertake further studies with a high degree of autonomy |
Learning aims |
Competences | |||
Knowing technologies used for industrial monitoring systems. | A18679 |
B5655 |
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Knowing industrial communication protocols. | B5655 |
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Designing local and remote monitoring systems for industrial processes. | A18679 |
B5653 |
C2 |
Appling logging and analysis technologies to historical data and alarms. | B5665 B5671 |
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Performing assemblies and monitoring practices in the laboratory. | B5656 B5665 B5671 B5672 |
C5 |
Contents |
Topic | Sub-topic |
Block I: INTRODUCTION AND GENERAL CONCEPTS | Unit 1: GENERAL CONCEPTS IN INDUSTRIAL MONITORING Introduction. Purposes of the industrial monitoring. Monitoring and management systems for industrial processes and plants. Local and remote monitoring. Monitoring platforms. Commercial solutions and providers. Unit 2: MONITORING ARCHITECTURES Centralized, decentralized and distributed architectures. Automation pyramid. New architectures for Industry 4.0. IP convergence. IIoT connectivity. Redundant and secure architectures. |
Block II: INDUSTRIAL COMMUNICATIONS | Unit 1: INTRODUCTION TO INDUSTRIAL COMMUNICATIONS Introduction to communication networks. Advantages and drawbacks. OSI model. Network topologies. Interconnection, filtering and protection devices (switches, routers and firewalls). Networks in different levels of the automation pyramid. IT and OT networks. Field buses. Unit 2: INDUSTRIAL COMMUNICATIONS PROTOCOLS General characteristics. Technical specifications. Modbus RTU/TCP. Profibus/Profinet. OPC DA/UA. Configuration of the communications. Development of the monitoring projects using these protocols. |
Block III: MONITORING SYSTEMS | Unit 1: HMI INTERFACES Screens and panels for operators. Structure of the HMI interface. Design and configuration. Industrial applications. Development of a monitoring project. Unit 2: SCADA SYSTEMS Structure of the SCADA system. Functions. Configuration. Communications. Tags. Programs. Screens of the process. Logs. Trends and graphs. Alarms. Reports. Manufacturers and providers. Configuration and programming software. Development of a monitoring project. |
Block IV: HISTORICAL DATA STORAGE AND ANALYSIS SYSTEMS | Unit 1: HISTORIAN SYSTEMS Connectivity to the acquisition systems. Configuration of the historical logs. Data base storage of the historical logs. Cloud storage. Data management and security. Exporting historical data. Unit 2: DATA PREPROCESSING AND ANALYSIS Sources of errors in industrial data. Data explanation and exploration. Preprocessing tasks and algorithms. Intelligent data analysis. Industrial data visualization. Development of a preprocessing and data analysis project. |
Planning |
Methodologies :: Tests | |||||||||
Class hours | Hours outside the classroom | Total hours | |||||||
Presentations / expositions | 2 | 2 | 4 | ||||||
Laboratory practicals | 27 | 35 | 62 | ||||||
Personal tuition | 3 | 1 | 4 | ||||||
Other methodologies | 4 | 8 | 12 | ||||||
Lecture | 27 | 41 | 68 | ||||||
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
Methodologies |
Description | |
Presentations / expositions | Students will present works related to the topics of the subject for evaluation. |
Laboratory practicals | The teacher will guide students in the application of theoretical concepts in order to solve problems and model them in the field of automation. In this way, critical reasoning and the exchange of information between work groups are promoted, applying the concepts to as many particular cases as possible. Therefore, the acquired knowledge is consolidated (remote laboratories are used to have access a greater number of different industrial problems). Moreover, a higher level of abstraction for the student and the creation of case reasoning structures are achieved. |
Personal tuition | Individual and group tutorships will be planned in order to facilitate the learning of the different topics of the subject. |
Other methodologies | The activities will be carried out through the Remote Laboratory of Automatic Control at the University of León (https://lra.unileon.es). |
Lecture | The teacher will make use, when deemed appropriate, of remote access technologies in order to illustrate theoretical concepts using practical industrial applications, achieving the complete symbiosis of theory and praxis. |
Personalized attention |
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Assessment |
Description | Qualification | ||
Other methodologies | Evaluation of the activities using IT in order to capture the work developed by the student. | 10% | |
Lecture | Evaluation of theoretical concepts by means of group and/or individual on-site exams. | 40% | |
Laboratory practicals | Evaluation of theoretical-practical projects and/or exams related to practices. | 50% | |
Other comments and second call | |||
To pass the subject, it is necessary to pass both the theoretical and practical parts. EXTRAORDINARY EVALUATION - Theoretical exam: 40% - Practical exam: 60% |
Sources of information |
Access to Recommended Bibliography in the Catalog ULE |
Basic | |
Rodríguez, A (2011). "Sistemas SCADA" 3ª ed. Marcombo Boyer, Stuart A (1999). "SCADA: Supervisory Control and Data Acquisition" 2ª ed.. ISA Balcells, J. y Romeral, J. L. (1997). "Autómatas Programables". Marcombo. Mandado, E., Pérez, S., Marcos. J., Fernandez, C., Armesto, J.I. (2005). "Autómatas Programables, entorno y aplicaciones". Paraninfo Lewis, R. W. (2007). "Programming industrial control systems using IEC 1131-3". IET Digital Library Piedrafita, R. (2004). "Ingeniería de la automatización industrial" 2ª ed. Ra-Ma Zurawski, R. (2004). "The industrial information technology handbook". CRC Press Rubio, J. M. (2009). "Buses industriales y de campo: prácticas de laboratorio". Marcombo Cerro, E. (2004). “Comunicaciones industriales”. Ceysa Rodríguez, A (2008). "Comunicaciones industriales". Marcombo LABORATORIO REMOTO DE AUTOMÁTICA: http://lra.unileon.es |
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Complementary | |
LINKS OF INTERES: COMITÉ ESPAÑOL DE AUTOMÁTICA: http://www.ceautomatica.es/ INTERNACIONAL FEDERATION OF AUTOMATIC CONTROL: http://www.ifac-control.org/ IEEE CONTROL SYSTEMS SOCIETY: http://www.ieeecss.org/ OPTO PAC PROJECT: https://www.opto22.com/products/pacprojectpro SIMATIC WINCC/TIA PORTAL: https://new.siemens.com/global/en/products/automation/industry-software/automation-software/scada/simatic-wincc-v7.html PLANT SCADA: https://sw.aveva.com/monitor-and-control/hmi-supervisory-and-control/citect-scada VIJEO DESIGNER: https://www.se.com/es/es/product-range/1054-vijeo-designer/ LABVIEW: https://www.ni.com/es-es/shop/labview.html CODESYS: https://www.codesys.com/ |
Recommendations |
Subjects that it is recommended to have taken before | |||||
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