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LoLiPoP IoT

Long Life Power Platforms for Internet of Things
Funder: European CommissionProject code: 101112286 Call for proposal: HORIZON-KDT-JU-2022-2-RIA
Funded under: HE | HORIZON-JU-RIA Overall Budget: 24,397,900 EURFunder Contribution: 7,699,220 EUR

LoLiPoP IoT

Description

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 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.

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