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Projecte llegit

Títol: Secure monitoring framework for smart grid systems in support of Industry 4.0

Estudiants que han llegit aquest projecte:

Director/a: SPADARO, SALVATORE

Departament: TSC

Títol: Secure monitoring framework for smart grid systems in support of Industry 4.0

Data inici oferta: 23-01-2025     Data finalització oferta: 23-09-2025


Estudis d'assignació del projecte:
    DG ENG SISTE/TELEMÀT
Tipus: Individual
 
Lloc de realització: EETAC
 
Segon director/a (UPC): PAGÈS CRUZ, ALBERT
 
Paraules clau:
Monitoring, SCADA, communications systems, EV, Kafka
 
Descripció del contingut i pla d'activitats:
Current societal and economic trends are spurring the growth of urbanization and industrialization in urban/sub-urban areas, increasing the density of energy-intensive activities. This has as a consequence an increase on the energy consumption but also a degradation on the quality of life in such areas, due to an increased activity, noise and pollution. Indeed, the over-reliance on fossil fuels is one of the main challenge that modern industrial societies have to face. In this regard, Industry 4.0, powered by the use of novel communications and digital tools, paves the way towards effective energy and industrial assets management for a more sustainable society. Within this context, smart grid systems are one of the crucial elements, allowing for an efficient and responsible distribution and use of the electrical power. This requires a rich and secure monitoring system across the distributed infrastructure, so as to gather large amounts of data and deliver them to storage and processing centers for their elaboration and strategy derivation.

Within this context, the current project is focused on the development of a Kafka-based monitoring system for interacting with a SCADA system (the de facto standard for data collection in industrial systems) of a real industrial entity, so as to enable the transfer of information for monitoring and actuation purposes. The monitoring system will require to interact with SQL-based databases for the information gathering as well as the elaboration of the data into structured formats for its sending across the notification systems, all in all providing the means for secure communication across the multiple endpoints.

For the successful execution of the TFM the following objectives are defined:

- Development of an SQL client for interacting with the SCADA system.

- Development of a Kafa producer/consumer system for data distribution.

- Integration and validation of the full monitoring system prototype.
 
Overview (resum en anglès):
In the context of industrial digital transformation, this thesis presents the design and implementation of a secure, scalable, and real-time monitoring system tailored for intelligent industrial environments and advanced smart grid infrastructures, aligned with Industry 4.0 principles. The proposed system integrates multiple industrial data sources, including SCADA systems that monitor building-level energy assets (such as EV chargers, photovoltaic panels, HVAC systems, lighting, and more), and electric vehicles transmitting real-time telemetry via CAN bus through mobile-connected dataloggers.

Collected data is processed, transformed, and published in real time through an Apache Kafka-based architecture, ensuring data integrity, low latency, and scalability.
Key performance indicators (KPIs) are visualized through interactive dashboards in Power BI, enabling intuitive analysis and supporting operational decision-making.

Furthermore, stress tests were conducted on the Kafka environment, varying message size and frequency to assess the system's performance, reliability, and security under high-load conditions. This work is part of the European industrial GENIUS project, contributing to its goal of enabling a more efficient and digitalized energy transition. The developed architecture is modular and extensible, offering high replicability across various industrial and energy sectors.

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