AI4ENGINE

About the Project

AI for wEaviNG kpIs moNitoring and prEdiction

The installation context of weaving machines (looms), the weaving room, and the level of interconnection between the looms and management systems vary considerably among companies. The most structured installations have data collection systems that provide a real-time view of batch production progress and a measure of production efficiency for both individual looms and the entire facility. However, even in the most advanced systems, some limitations are still evident: data on the condition of the looms are not collected, there is no remote assistance or support for predictive maintenance and performance optimisation, and the data are often incompatible and difficult to integrate. The proposed AI4ENGINE system will be able to display the status of the machines in real-time through a configurable synoptic view, enabling the monitoring of KPIs. In addition, the system will provide support services such as maintenance scheduling, efficiency optimisation, and integration with the digital model of the plant.

Acronym

AI4ENGINE

Responsible

Rafael Lírio Arrais

Status

Closed

Starting Date

January 1, 2023

Ending Date

January 31, 2023

Effective End Date

January 31, 2023

Global Budget

€575,000.00

Funding

€91,875.00

Website

Datasheet

Members

Team Leaders

Rafael Lírio Arrais

Assistant Researcher

Team Members

Pedro Miguel Melo

Researcher

Rafael Lírio Arrais

Assistant Researcher

Sérgio Daniel Marinho

Researcher

Dissemination

INESC TEC has a unique and differentiating management model, improved over its 35 years of history. Reflecting its unique position between academia and industry, the management at INESC TEC carefully balances, in a hybrid model, the academic culture of scientific freedom and dialogue with a culture of efficiency and responsibility in management.

link for

Associated Centres

Robotics in Industry and Intelligent Systems

At the Centre for Robotics and Intelligent Systems, we develop innovative solutions to leverage robotics in the industrial, agricultural, and forestry contexts, driving the digital transformation of the industry. We take a practical approach - from design to deployment - to test the navigation and localisation of mobile robots, explore advances in 2D/3D industrial vision and advanced detection, while also focusing on industrial and collaborative robotics, as well as human-robot interfaces. Our TRIBE LAB is fertile ground for innovative ideas about the agriculture of the future; we develop prototypes and promote excellence in agricultural robotics and IoT technology: with prototypes, advanced sensors (LiDAR, AI cameras), and rapid prototyping tools, we accelerate the development of solutions for the agroforestry sector. We are also present at the iiLab, where we combine applied research, technological demonstration, and controlled environment testing, promoting the integration of emerging technologies into industry. From intelligent robotic cells and cyber-physical systems to data analysis and AI, it is an innovation space where companies can experiment with and validate solutions for the factory of the future. With a multidisciplinary team, and following European agendas, our research work combines fundamental science and application, impacting the design of solutions for Industry 4.0, fostering competitiveness and the digital transformation of the sector.