Research & innovation
NeoAutomate
This demonstrator illustrates an embedded predictive maintenance approach, integrated as closely as possible with the hardware to enable rapid, reliable, and non-intrusive fault detection.

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Embedded Predictive Maintenance
The solution integrates directly into the existing environment and remains hardware-agnostic thanks to EcoStruxture Automation Expert (subject to compliance with the IEC 61499 standard), which facilitates its deployment across various industrial settings.
Based on a low-impact STMicroelectronics board, it enables predictive maintenance algorithms to be executed directly on the embedded board, as close as possible to the hardware.

This plug-and-play approach requires no intrusive modifications to existing equipment and ensures a high refresh rate, enabling more accurate anomaly detection. This will allow for more detailed data sampling and thus the detection of minor deviations.
Error and alert management is handled directly at the STM32 board level, allowing failures to be reported without relying on complex monitoring systems. By leveraging modern automation standards, notably IEC 61499 via EcoStruxure Automation Expert, NeoAutomate offers a modular, distributed, and replicable solution that can be rapidly deployed on new machines or production lines.
This edge-based and embedded approach enhances equipment reliability while reducing maintenance costs and downtime.

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