LoLiPoP IoT

Long Life Power Platforms for Internet of Things

Abstract

In LoLiPoP IoT innovative Long Life Power Platforms will be developed to enable retrofitting of wireless sensor network (WSN) modules in IoT applications. This includes the development of algorithms to perform FUNCTIONALITIES like asset tracking and condition monitoring (for predictive maintenance). They can be used in APPLICATIONS such as industry 4.0, smart mobility and energy efficient buildings. LoLiPoP IoT creates an ecosystem of developers, integrators and users to develop these platforms thinking about power/battery life, ease of installation and maintenance. The project is driven by 12 laboratory- and field-based use cases to initially demonstrate their technical viability and then potential impact. Expected impacts from the LoLiPoP IoT use cases include; a) typical battery life increase from ~18 months to >5 years, b) Reduced maintenance overhead of mobile and fixed assets from >30% to <15%, c) Reduced costs related to location of assets typ. by €100Ks PA per use case, d) Optimised flow, management and throughput of assets through the identification of bottlenecks, yielding reductions of >10% in production time, cycle time and inventory costs, e) Improved comfort levels and well-being of building occupants whilst reducing energy footprint by >20% and f) Revenues of >€10M PA for LoLiPoP IoT industry partners offering asset tracking & condition monitoring services. All of this is achieved by developing and integrating: a) Multi-source Energy Harvesting solutions (vibrational and photovoltaic transducers, PMICs and discrete circuits), b) Digital interfacing to contextually adapt mode settings of WSN devices and connected systems to minimise power drain, c) Ultra low power components for WSN, d) Innovative Architectures for wireless data collection that minimize battery power drain, e) Simulation Models to optimise component design and integration and f) embedded AI/ML in IoT devices, for lower latency and power consumption and higher robustness.

Project details

Unibo Team Leader: Aldo Romani

Unibo involved Department/s:
Centro di Ricerca sui Sistemi Elettronici per l'Ingegneria dell'Informazione e delle Telecomunicazioni "Ercole De Castro" - ARCES (Advanced Research Center on Electronic System)

Coordinator:
Cognitechna Sro(Czech Republic)

Other Participants:
ALMA MATER STUDIORUM - Università di Bologna (Italy)

Total Eu Contribution: Euro (EUR) 7.845.196,09
Project Duration in months: 36
Start Date: 01/06/2023
End Date: 31/05/2026

Cordis webpage

This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101112286 This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101112286