Educational guide
IDENTIFYING DATA 2024_25
Subject INDUSTRIAL SUPERVISION Code 00707043
Study programme
0707 - G.INGENIERÍA ELECT. INDUSTRIAL Y AUTOMÁTICA
Descriptors Credit. Type Year Period
6 Optional Fourth Second
Language
Castellano
Prerequisites
Department ING.ELECTR.DE SIST. Y AUTOMATI
Coordinador
ALONSO CASTRO , SERAFÍN
E-mail saloc@unileon.es
jjfuem@unileon.es
jrodo@unileon.es
Lecturers
ALONSO CASTRO , SERAFÍN
FUERTES MARTÍNEZ , JUAN JOSÉ
RODRIGUEZ OSSORIO , JOSE RAMON
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
Tribunal titular
Cargo Departamento Profesor
Presidente ING.ELECTR.DE SIST. Y AUTOMATI DOMINGUEZ GONZALEZ , MANUEL
Secretario ING.ELECTR.DE SIST. Y AUTOMATI PEREZ LOPEZ , DANIEL
Vocal ING.ELECTR.DE SIST. Y AUTOMATI MARCOS MARTINEZ , DAVID
Tribunal suplente
Cargo Departamento Profesor
Presidente ING.ELECTR.DE SIST. Y AUTOMATI FERNANDEZ LOPEZ , CARLOS
Secretario ING.ELECTR.DE SIST. Y AUTOMATI DIEZ DIEZ , ANGELA
Vocal ING.ELECTR.DE SIST. Y AUTOMATI RODRIGUEZ SEDANO , FRANCISCO JESUS

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
Knowing industrial communication protocols. B5655
Designing local and remote monitoring systems for industrial processes. A18679
 B5653
 C2
Appling logging and analysis technologies to historical data and alarms. B5665
B5671
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
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
 
Other methodologies
Personal tuition
Lecture
Description
The students can obtain the help of the teacher in individual or group tutorships. These tutorships will be carried out in the teacher's office or in the practice laboratories upon request from the student via email.

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
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
AUTOMATION I / 00707016
AUTOMATION II / 00707021
CONTROL ENGINEERING I / 00707025
CONTROL ENGINEERING II / 00707026