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Smart Kinetic Floor System for Energy Harvesting and Data Acquisition in High Foot-Traffic Areas

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Applications in Electronics Pervading Industry, Environment and Society (ApplePies 2023)

Abstract

This work explores energy harvesting through kinetic energy capture from human steps. The proposed smart floor system, consisting of multiple smart tiles, offers a promising solution for energy generation and data acquisition in high foot-traffic areas, such as shopping centers. The smart tile incorporates an energy generation and storage system, along with a data acquisition and transmission system. The use of only an accelerometer for both step and energy data acquisition minimizes power impact. An edge computing approach processes acceleration data directly on the tile, transmitting essential information, such as event steps and generated energy, to the cloud via the tile WiFi connection. This information can be used for floor optimization and commercial uses based on customer tracking. Sustainability analysis indicates that for real-time monitoring the current smart tile system requires around 15540 steps per tile for 10 h for sustainability, but this can be reduced to 362 steps by implementing power-saving techniques if a real-time feature is not required. Further research can lead to practical and commercially viable applications, contributing to a greener future.

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Acknowledgments

This work is developed in the framework of the UNIPI SmartTile project in collaboration with Digital Camp, Energy Floor, Elastacloud, and Vodafone UK. This work was partially supported by MUR as part of the FSE REACT-EU-PON 2014-2020, Green Action, and in collaboration with the CrossLab and FoReLab projects (Departments of Excellence).

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Correspondence to Gabriele Ciarpi .

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Ciarpi, G., Noccetti, E., Ceragioli, L., Mestice, M., Rossi, D., Saponara, S. (2024). Smart Kinetic Floor System for Energy Harvesting and Data Acquisition in High Foot-Traffic Areas. In: Bellotti, F., et al. Applications in Electronics Pervading Industry, Environment and Society. ApplePies 2023. Lecture Notes in Electrical Engineering, vol 1110. Springer, Cham. https://doi.org/10.1007/978-3-031-48121-5_59

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  • DOI: https://doi.org/10.1007/978-3-031-48121-5_59

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-48120-8

  • Online ISBN: 978-3-031-48121-5

  • eBook Packages: EngineeringEngineering (R0)

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