R&D

To achieve this, the project covers two main action levels: on one hand, optimization of manufacturing processes through deployment of advanced simulation models, and on the other hand, implementation of digital inspection systems for early detection of defects in produced parts. Both levels converge into an integrated solution for zero-defects that will be applied on five distinct industrial use cases, reflecting the reality of the basque manufacturing industry.

PARTNERS:

With this, the whole system supports decision-making for cognitive, predictive maintenance, and optimization of the entire manufacturing process. The approach for Maifacturing is based on integrating new sensors into machines, in addition to developing virtual sensors to estimate behaviour of the parameters with the greatest impact to the process. Through these data, and with the newly developed cyber-physical systems, new algorithms for monitoring, both discrete and continuous, can be applied to provide valuable information in a precise fashion.

Finally, artificial intelligence systems provide cognitive functionality, having developed predictive capabilities for both equipment maintenance scheduling as well as optimization of the entire production process. All of this supported by a multi-function platform with a hybrid Edge+Cloud infrastructure that grants global connectivity to every process element.

Industrial digitalization carries enough baggage due to having introduced a considerable number of products and services in the industry of machine tool users. These solutions range from monitoring machines and plants, process optimization, zero-defect targetting projects... and have enabled the industrial ecosystem to considerably bolster their capabilities and competitiveness.

Thereby, there is  a constant necessity in companies that digitize their activities to include existing machines - still in full production capacity - into theur production control and planning systems, and equip them with features granted by new technologies centered around processing, simulation and automatic generation of programs that not only increase productivity, but also boost process quality.

The ultimate goal for RETRO is to bring closer older machines (predating 2005), which remaining useful life may reach or even exceed 20 years, to the benefits that Industry 4.0 offers for production processes. This goal is perfectly aligned with the philosophy of maximizing returns on investments by refurbishment if industrial equipment, a topic that has been the main subject of a specific european programme call.

El salto propuesto en este proyecto se basa en el desarrollo de NUEVOS MODELOS DE NEGOCIO CIBERSEGUROS donde la creación de confianza a través de la tecnología será la clave para multiplicar exponencialmente el potencial colectivo de las empresas del sector de la máquina herramienta en Euskadi.

Este salto en la confiabilidad mutua se implementará en base al uso disruptivo de la tecnología. Más concretamente, el avance general del proyecto SmartCON es desarrollar e integrar la identidad digital de los activos y su registro inmutable a través de Blockchain para crear servicios de valor añadido confiables basados en Smartcontract Industriales en la industria de la máquina herramienta.

SComponents will be developed to monitor the process as closely to the point of action as possible using IoT, adjusting the manufacturing process to reduce execution time while ensuring quality requirements. Static processes for repetitive parts will be replaced by these new processes, which will leverage key indicators in each case.

To achieve this, embracing Industry 4.0 technology is crucial—a reality in today's industrial environment. Tool, component, and equipment manufacturers involved in the project will research and develop IoT and Big Data technologies, tailored to hybrid condition-based process behavior models.

IResearch and generate knowledge on data exploitation within the value chain using interoperable Hybrid Digital Models, fueled by both internal and external data. These models are managed intelligently to provide solutions to real production challenges, significantly enhancing the consortium's competitiveness and leading to the development of innovative advanced products and services that position participating companies and their value chains as leaders in their sectors.

The KAIA project introduces a new generation of digital solutions based on innovative sensorized components, hybrid digital twins, and AI-powered optimization tools to ensure quality in smart factories holistically, covering processes, products, and data quality.

The TRENWIDIA project will implement and test a cognitive automation platform on CAF's railway axle (wheelset) production lines. This platform will integrate all developments from the consortium and tackle challenges such as digitalization, economic and environmental sustainability, a human-centered approach, and resilience.

The main objective of BCSI 4.0 is to enhance the cyber resilience of the Basque industry through research into technologies that improve and specialize continuous security monitoring services for OT industrial environments. It aims to improve detection and response to cyber incidents while incorporating self-protection measures against threats in its design, validated in industrial experimentation environments that represent various levels of digitalization maturity (including legacy equipment).

The FIDATU project encompasses four key objective areas—Zero Defects, Sustainable Manufacturing, Digital Competitiveness, and an Integrative Process. For each of these areas, the project aims to generate essential knowledge that will enable the achievement of its expected outcomes.