Data Management and Digital Transformation in Industrial Process Automation
Public Concerné
- Academic training in fields related to engineering, industrial automation, computing, information technology or related disciplines.
- Basic knowledge of industrial automation principles and industrial processes may be required. Familiarity with concepts of data management, data analysis and digital transformation. Experience in the field of industrial automation or data management may be an additional requirement.
Objectifs pédagogiques
- Explain the different layers that can coexist in IoT architectures in the industrial environment.
- Know the main existing hardware solutions for data capture.
- Know the main wireless communication technologies that can be found in the industrial IoT.
- Know the possible functionalities offered by data integration platforms: ITCL BITAL
Contenu de la formation
Industry 4.0:
Raise awareness of the importance of data, of data analysis.
Describe existing layers and architectures. Expose the elements and functions they cover and the interrelationship between them.
Describe the main protocols of each of the layers, characteristics, advantages / disadvantages.
Explain the current state of some of the main commercial HW for protocol capture and adaptation, differences, advantages and disadvantages. VNODE, IBH, EWON, SIEMENS IoT2040
Raise awareness of the importance of data, of data analysis.
- Main sources of IIoT information:
- Main data sources existing in industrial facilities. Functions that cover Aspects to take into account in the capture layer:
- Programmable controllers.
- Specific controllers, IoT probes.
- HMI, SCADA, explain the differences and what each one covers
Describe existing layers and architectures. Expose the elements and functions they cover and the interrelationship between them.
- Sensory layer.
- Control layer.
- IT layer.
- Cloud.
- IT Architecture (Closed Bus, Open Bus, Open Bus+NAT).
Describe the main protocols of each of the layers, characteristics, advantages / disadvantages.
- Analog/digital signals.
- Manufacturer-specific protocols: S7, FINS, MELSEC, METTLER TOLEDO, MARCHESSINE.
- Industrial standard protocols: PROFINET/PROFIBUS, MODBUS RTU/TCP, OPC UA.-DA
- MQTT, REST API...
Explain the current state of some of the main commercial HW for protocol capture and adaptation, differences, advantages and disadvantages. VNODE, IBH, EWON, SIEMENS IoT2040
- New wireless communication technologies
- Expose the main LPWA technologies, architectures, differences. Advantages and disadvantages. LORA, SIGFOX, NB IoT
Description des modalités de validation
Continuous monitoring and exam.
En alternance ou en formation continue en journée :
Merci de consulter directement le secrétariat pédagogique de votre formation pour obtenir le planning.
En formation « à la carte Hors Temps de Travail », en présentiel, à distance ou hybride :
Voir les dates, les lieux d'enseignement et les modalités d'inscription sur les sites internet des centres régionaux qui proposent cette formation.
