Development of a Smart Sensor Framework for Predictive Maintenance

The paper discloses the definition of an data/information collection system to support the condition monitoring of a Cyber Physical Production System (CPPS). The embedded system is able to communicate on the one hand with multiple sensors dedicated to monitoring the tangible assets in accordance with the Industrial Internet of Things (IIoT) paradigm, and on the other hand with the MainCARE algorithms developed as result of a national R&D project. In detail, an electronic device with data concentrator and gateway functionality towards the MainCARE software architecture is described capable of collecting and structuring information from distributed sensors for monitoring a CPS through a multi-protocol and multi-channel approach (Wired and Wireless). Then, suitable hardware/firmware interfaces developed according to the IEEE Standard 1451 are presented through which to allow the communication of third-party sensors (Vibration and Acoustic sensors) commonly used in the control of the physical components of a CPS. Finally, preliminary results of the proposed solution adopted in the operating scenario within a craft brewery are reported and discussed in terms of AI approaches and main features.