Key Info
Duration: 2023-2026
Acronym: LoLiPoP IoT
PI Name: Mike Hayes
Topic: KDT
Title: Long Life Power Platforms for Internet of Things
Coordinator: COGNITECHA SRO
Total Participants: 46
Project No: 101112286
EU Contribution: € 7 845 196
Project Info
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:
1) typical battery life increase from ~18 months to >5 years;
2) reduced maintenance overhead of mobile and fixed assets from >30% to <15%;
3) reduced costs related to location of assets typically by €100Ks PA per use case;
4) optimised flow, management and throughput of assets through the identification of bottlenecks, yielding reductions of >10% in production time, cycle time and inventory costs;
5) improved comfort levels and wellbeing of building occupants while reducing energy footprint by >20% and
6) revenues of >€10M PA for LoLiPoP IoT industry partners offering asset-tracking and condition-monitoring services.
All of this is achieved by developing and integrating:
1) Multisource Energy Harvesting solutions (vibrational and photovoltaic transducers, PMICs and discrete circuits);
2) digital interfacing to contextually adapt mode settings of WSN devices and connected systems to minimise power drain;
3) ultra-low-power components for WSN;
4) innovative architectures for wireless data collection that minimise battery power drain;
5) simulation models to optimise component design and integration and 6) embedded AI/ML in IoT devices, for lower latency and power consumption and higher robustness.