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AIoT and neural networks for predictive maintenance of industrial machinery. START 4.0 supports “SENECA 4.0” with PNRR funds.

In this article, we discuss

Start 4.0, as part of the 2023 call for industrial research projects, financed with PNRR funds, has provided approximately 400,000 euros to support the development of SENECATM 4.0 (SEcured Neuromorphic EdgeAI Computing Architecture for Industry 4.0), the innovation project presented by KNOWHEDGE SRL, MYWAI SRL, WALTER TOSTO SPA, TICASS SCARL, ISTITUTO ITALIANO SALDATURA.

It involves the development of a cutting-edge technological architecture to monitor, control and optimize production processes and perform predictive maintenance of connected industrial machinery.
To do this, industrial IoT devices with artificial intelligence are used in proximity (EDGE AI) or on board the machine (VERY EDGE AI), which can, if necessary, use neuromorphic ASIC chips for the parallel calculation of neural networks on dedicated HW (NEUROMORPHIC COMPUTING).

This project plays a role of primary importance in the field of industrial AIoT (Artificial Intelligence of Things), especially in the sector of quality control in manufacturing 4.0, in which the convergence of Artificial Intelligence (AI) and Edge AI is radically transforming the industrial landscape while requiring ever-increasing levels of security and compliance.

The SENECATM architecture will be built on the technology and patents for neuromorphic edge computing contributed by MYWAITM and KNOWHEDGETM, validated by the Italian Institute of Welding and by the TICASS hub on welding processes of WALTER TOSTOTM, a world leader in the manufacturing of long-term critical equipment for the oil and gas, petrochemical and energy markets.

The use of 4.0 technology to optimize production processes and implement predictive maintenance of industrial machinery represents a major leap in quality for the entire manufacturing industry. A more intelligent and proactive management of plants, preventing failures and reducing maintenance costs thanks to the ability to anticipate and solve problems before they occur, can improve the competitiveness of companies, allowing them to keep up with the challenges and demands of the global market, and promotes the digital transformation of the entire manufacturing sector towards a
more sustainable and cutting-edge model.