Benefits |
This Industry 4.0 course with XNUMXst century tools offers a unique opportunity to acquire essential and advanced knowledge about industrial digitalization. Through practice and theory, you will learn how to extract real-time information from sensors using modern tools and techniques such as IoTSmart, Grafana, InfluxDB, MongoDB, MQTT and OPC UA. With this learning, you will be able to automate processes, distribute information efficiently and create interactive dashboards for effective data visualization. In addition, you will explore practical use cases that will prepare you to apply this knowledge in real-life situations. This course is ideal for both those who prefer practice over theory and those looking for practical tools for extracting information from sensors in today's industrial world. |
Introduction |
The introduction of this course on Industry 4.0 with 4.0st century tools highlights the current relevance of industrial digitalization and the importance of leveraging modern technologies for real-time sensor information extraction. The growing conversation around Industry XNUMX and the need to understand and use practical tools such as MQTT, OPC UA, Grafana, and others to optimize industrial processes are highlighted. Although specific statistics are not provided, the usefulness and timeliness of the topics covered in the course are emphasized in the context of the industry's evolution towards digitalization and efficiency. |
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Addressed to |
This course is designed for professionals from various sectors and job profiles. Although it will focus primarily on the industrial field for practical examples, it is accessible to anyone interested in the subject. Prior technical knowledge is valued, but is not an essential requirement, as a detailed explanation of the concepts will be provided from the beginning of the course. People interested in these topics. |
Objectives |
Course objectives include:
• Provide general knowledge about IIOT (Industrial Internet of Things) and digital transformation in industry.
• Train participants to efficiently consume real-time sensor information.
• Teach how to create and configure clients for protocols such as MQTT and OPC UA.
• Facilitate the visualization of information using tools such as Grafana.
• Provide skills to program data rules and automate events.
• Allow the distribution of information to multiple sources.
• Introduce and use tools such as MQTT Explorer and OPC UA Expert.
• Explore different types of data storage and processing in the industrial context.
These objectives are designed to equip participants with the skills needed to make the most of 4.0st century technologies in the field of Industry XNUMX.
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Contents |
The course content is divided into six main sections:
Introduction to Industry 4.0:
• What is Industry 4.0?
• Ecosystem necessary for Industry 4.0.
• Industrial protocols.
Tools and protocols:
• MQTT.
• OPC UA.
• Practice with OPC UA.
Information processing:
• Types of processing.
• Classification by speed of processing types.
• Types of information storage.
Practical implementation:
• Connecting MQTT and OPC UA in IoTSmart.
• Process automation with IoTSmart.
• Sending information to databases such as InfluxDB, MongoDB and SQL Server with IoTSmart.
Information display:
• Building a dashboard with Grafana in several parts.
Use cases:
• Practical examples of applications of the tools and protocols presented.
This content provides a comprehensive guide to understanding and applying Industry 4.0 concepts using XNUMXst century tools and protocols.
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Type |
Course |
Mode of delivery |
Digital games |
Methodology |
The course is divided into two main parts:
Theoretical Part (30%):
The theory is taught using visual resources such as a blackboard and projector.
Fundamental project concepts are explored, including definitions, objectives, tools and techniques, as well as best practices.
Practical Part (70%):
Guided practices are carried out, which represent half of the course time.
Participants apply the knowledge acquired in real-world scenarios, with a focus on problem solving and the use of algorithms.
This balanced methodology provides an effective combination of theoretical and practical learning, allowing participants to acquire applicable skills and solid knowledge for their professional development.
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Dates |
From 4 / 2 / 2025 to 11 / 2 / 2025 |
Calendar |
Tuesday |
TIMETABLE |
From 15:00am to 19:00am |
Duration |
8 hours |
Place |
AIDIMME C / Benjamin Franklin 13 (Technology Park) 46980 Paterna (Valencia) |
Registration |
Open |
Certification |
Certificate of attendance issued by AIDIMME. Minimum attendance of 75% of the teaching hours. |
Cost |
137 € - Non-associated company amount + 21% VAT. Associated company - 13%. Unemployed persons: consult price. *AIDIMME, as the organising entity of FUNDAE, will be able to manage the subsidised part of the course at no additional cost.
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Professors |
| CRESPO TAPIA,JAVIER |
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| Javier has more than 10 years of experience working with data, having led a wide variety of projects in companies of all sizes. He has collaborated with important clients at national and international level, standing out for his ability to lead key initiatives in data management and analysis. |
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INFORMATION AND PRE-REGISTRATIONS
AIDIMME - Training Department
961366070 Phone | Fax: 961366185 e-mail: rigual@aidimme.es | www.aidimme.es |
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Since the NUMBER OF PLACES is LIMITEDIf you are interested in participating in these courses, you must notify us, as soon as possible, by sending the duly completed pre-registration form (one for each attendee), before the indicated date, in order to close participation in it. Admission will be made in order of pre-registration and the company will be notified of its acceptance. |
