Skip to main content
Top

2024 | OriginalPaper | Chapter

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

Authors : Gabriele Ciarpi, Ettore Noccetti, Luca Ceragioli, Marco Mestice, Daniele Rossi, Sergio Saponara

Published in: Applications in Electronics Pervading Industry, Environment and Society

Publisher: Springer Nature Switzerland

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

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.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Visconti P et al (2022) Available technologies and commercial devices to harvest energy by human trampling in smart flooring systems: a review. Energies 15(2):432 Visconti P et al (2022) Available technologies and commercial devices to harvest energy by human trampling in smart flooring systems: a review. Energies 15(2):432
2.
go back to reference He M et al (2019) Study of a piezoelectric energy harvesting floor structure with force amplification mechanism. Energies 12(18):3516CrossRef He M et al (2019) Study of a piezoelectric energy harvesting floor structure with force amplification mechanism. Energies 12(18):3516CrossRef
3.
go back to reference Kim K et al (2018) Optimized composite piezoelectric energy harvesting floor tile for smart home energy management. Energy Convers Manag 171:31–37CrossRef Kim K et al (2018) Optimized composite piezoelectric energy harvesting floor tile for smart home energy management. Energy Convers Manag 171:31–37CrossRef
4.
go back to reference Liono J et al (2018) Predicting the city foot traffic with pedestrian sensor data. In: 14th EAI international conference on mobile and ubiquitous systems Liono J et al (2018) Predicting the city foot traffic with pedestrian sensor data. In: 14th EAI international conference on mobile and ubiquitous systems
5.
go back to reference Gomez IL (2022) Machine learning applications to video surveillance camera placement and medical imaging quality assessment. Illinois Institute of Technology Gomez IL (2022) Machine learning applications to video surveillance camera placement and medical imaging quality assessment. Illinois Institute of Technology
6.
go back to reference Ciarpi G et al (2023) Power optimization of systems for direct thermal to electrical energy conversion. Electronics 12(10):2163 Ciarpi G et al (2023) Power optimization of systems for direct thermal to electrical energy conversion. Electronics 12(10):2163
7.
go back to reference Motahhir S et al (2020) The most used MPPT algorithms: review and the suitable low-cost embedded board for each algorithm. J Clean Prod 246:118983 Motahhir S et al (2020) The most used MPPT algorithms: review and the suitable low-cost embedded board for each algorithm. J Clean Prod 246:118983
8.
go back to reference Ciarpi G et al (2020) Inductorless DC/DC converter for aerospace applications with insulation features. IEEE TCAS-II 67(9):1659–1663 Ciarpi G et al (2020) Inductorless DC/DC converter for aerospace applications with insulation features. IEEE TCAS-II 67(9):1659–1663
9.
go back to reference Saponara S et al (2018) Electrical, electromagnetic, and thermal measurements of 2-D and 3-D integrated DC/DC converters. IEEE TIM 67(5):1078–1090 Saponara S et al (2018) Electrical, electromagnetic, and thermal measurements of 2-D and 3-D integrated DC/DC converters. IEEE TIM 67(5):1078–1090
10.
go back to reference Perdomo A et al (2023) ESP32 based low-power and low-cost wireless sensor network. In: The conference on Latin America control congress. Springer, Cham, pp 275–285 Perdomo A et al (2023) ESP32 based low-power and low-cost wireless sensor network. In: The conference on Latin America control congress. Springer, Cham, pp 275–285
11.
go back to reference Liu D et al (2022) Concurrent low-power listening: a new design paradigm for duty-cycling communication. ACM Trans Sens Netw 19(1):1–24 Liu D et al (2022) Concurrent low-power listening: a new design paradigm for duty-cycling communication. ACM Trans Sens Netw 19(1):1–24
Metadata
Title
Smart Kinetic Floor System for Energy Harvesting and Data Acquisition in High Foot-Traffic Areas
Authors
Gabriele Ciarpi
Ettore Noccetti
Luca Ceragioli
Marco Mestice
Daniele Rossi
Sergio Saponara
Copyright Year
2024
DOI
https://doi.org/10.1007/978-3-031-48121-5_59