Long Life Power Platforms for Internet of Things

Project LoLiPoP IoT

Overview

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;

  • typical battery life increase from ~18 months to >5 years,
  • Reduced maintenance overhead of mobile and fixed assets from >30% to <15%,
  •  Reduced costs related to location of assets typ. by €100Ks PA per use case,
  • Optimised flow, management and throughput of assets through the identification of bottlenecks, yielding reductions of >10% in production time, cycle time and inventory costs,
  •  Improved comfort levels and well-being of building occupants whilst reducing energy footprint by >20% and
  •  Revenues of >€10M PA for LoLiPoP IoT industry partners offering asset tracking & condition monitoring services.

(Source: www.lolipop-iot.eu)

One main R&D focus of Fraunhofer IZM - in collaboration with Fraunhofer IIS -  in on the development of energy-autonomous sensor nodes. The chosen scenario to apply these is the condition monitoring of bulk materials in large silos. Retrofitting the necessary infrastructure is usually too expensive. Sensor nodes are designed to ensure that fermentation or spontaneous combustion does not occur during the storage of certain goods, which could impair the quality of the stored material. If necessary, an alarm should be triggered automatically and N2 gas or extinguishing foam should be released as a preventive measure. 

  • COGNITECHNA s.r.o. (COG) (Project Coordination)
  • ABATEC Mikrosysteme GmbH 
  • Analog Devices 
  • Arcelik A.S.
  • Brno University of Technology
  • Centria tutkimus ja kehitys
  • CNet Svenska AB
  • COGNITECHNA s.r.o.
  • Consiglio Nazionale delle Ricerche
  • Consorzio Nazionale Interuniversitario per la Nanoelettronica
  • CSEM Centre Suisse d'Electronique et de Microtechnique SA
  • Eindhoven University of Technology Logo Eindhoven University of Technology
  • Fraunhofer Institut für Integrierte Schaltungen IIS 
  • Fraunhofer Institut für Zuverlässigkeit und Mikrointegration IZM 
  • HTEC GmbH
  • IMEC Netherlands 
  • Infineon Technologies AG Logo Infineon Technologies AG 
  • INS GmbH 
  • Luna Geber Engineering srl
  • MeshWorks Wireless Oy 
  • Mid Sweden University 
  • Miromico AG
  • Noldus Information Technology B.V.
  • Offcode Ltd.
  • Signify Netherlands BV
  • SIM4Future
  • SWISS AIRTAINER SA
  • SYSGO GmbH
  • TAUA srl
  • Technische Hochschule Nürnberg Georg Simon Ohm
  • Tyndall National Institute
  • Universidad Politecnica de Madrid
  • University of Bologna 
  • University of Perugia 
  • Zens Group B.V.

General Project Information

  • Duration: 01.06.2023-30.05.2026
  • Funding code: 101070441

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