Members: Universidad Politécncia de Valencia, Universidad de Cantabria, IKERLAN, Universidad Politécnica de Madrid

Funding: Ministerio de Ciencia e innovación


Digital transformation in all social and economic spheres is presented as a basic need in the process of modernization and increase in the performance levels of the productive sectors. The development of industry in its processes, infrastructures, services, among others, requires both: an intensive use of digital enabling technologies that transform all levels of business, and the application of artificial intelligence techniques that allow increasing the automation value chain. The so-called Industry 4.0 initiated this transformation with the inclusion of the concepts of the Industrial Internet of Things (IIoT), that is,he digital interconnection of cyber-physical systems that include monitoring and control systems for tools and machines, with systems connected to control centers, reaching the highest levels of industrial process management and direction.

A major key to this is the improvement of predictability and reliability at all levels in connected industrial systems in the digital transition of highly connected industry. This improvement must affect from cyber-physical systems at the lowest level, to cloud computing systems in which AI techniques are applied to manage the large volumes of data generated in industrial processes. One aspect that has impacted all system layers, with the increase of connectivity, is the vulnerability of computer systems to attacks that allow access to information and block the normal operation of systems. Cybersecurity is a fundamental element at all system layers.

The proposed project starts from a previous development of basic technologies for Industry 4.0 with special emphasis on the establishment of mechanisms in cyber-physical systems to increase predictability and horizontal and vertical communication.
The present project aims, as leading elements of the technologies addressed, to build models that allow the integration of all system layers (platforms, networks, intermediary layers, application) and provide them with the necessary elements to increase security through protection mechanisms compatible with the requirements of real time, availability and criticality of industrial systems.
The trajectory of the STRAST-UPM group is oriented to the investigation of real time systems and telematic services.

This project continues the trajectory on these types of systems:

  • Real-Time Systems: The heterogeneous computing platforms have potential for the next generation of cyber-physical systems with high integrity requirements. In this project, it is aimed to construct a HCP platform and to analyze and to bound interferences on shared resources and to obtain feasible schedules.
  • Model Driven Engineering: The aim is to develop cyber-physical systems with a higher level of abstraction. In particular, the objective is to adapt MDE tools for the development of software components in industrial software applications.
  • Telematic systems: I4.0 requires advanced tools for monitoring the operation of I4.0 systems, and analyzing and exploiting the large data obtained. The aim is to extend available techniques in advanced analysis, visualization, prediction of the future system functionality, privacy, and distributed-ledgers (blockchain) for security.
  • Industrial demonstrators for validate the project outcomes. The demonstrators are planned to be used on industrial domains, such as the rail transport and logistics, or space systems