Sustainable and smart rail transit based on advanced self-powered sensing technology DOI Creative Commons
Hongjie Tang, Lingji Kong, Zheng Fang

et al.

iScience, Journal Year: 2024, Volume and Issue: 27(12), P. 111306 - 111306

Published: Nov. 5, 2024

As rail transit continues to develop, expanding railway networks increase the demand for sustainable energy supply and intelligent infrastructure management. In recent years, advanced self-powered technology has rapidly progressed toward artificial intelligence internet of things (AIoT). This review primarily discusses self-sensing systems in transit, analyzing their current characteristics innovative potentials different scenarios. Based on this analysis, we further explore an IoT framework supported by sensing including device nodes, network communication, platform deployment. Additionally, technologies about cloud computing edge deployed enable more effective utilization. The algorithms such as machine learning (ML) deep (DL) can provide comprehensive monitoring, management, maintenance environments. Furthermore, study explores research other cross-disciplinary fields investigate potential emerging analyze trends future development transit.

Language: Английский

Sustainable self-sensing railway wind-blossom with sealed hybrid nanogenerator DOI
Hao Wang, Tengfei Liu, Zutao Zhang

et al.

Applied Energy, Journal Year: 2025, Volume and Issue: 392, P. 126035 - 126035

Published: May 8, 2025

Language: Английский

Citations

0
An intelligent traffic anomaly detection system based on self-supervised learning and self-powered hybrid nano-sensor DOI
Zheng Fang, Lingji Kong, Hongyu Chen

et al.

Advanced Engineering Informatics, Journal Year: 2025, Volume and Issue: 66, P. 103461 - 103461

Published: May 24, 2025

Language: Английский

Citations

0
The next-generation of metaverse embodiment interaction devices: A self-powered sensing smart monitoring system DOI
Ning Yang,

Chengliang Fan,

Hongyu Chen

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 499, P. 156512 - 156512

Published: Oct. 9, 2024

Language: Английский

Citations

1
Sustainable and smart rail transit based on advanced self-powered sensing technology DOI Creative Commons
Hongjie Tang, Lingji Kong, Zheng Fang

et al.

iScience, Journal Year: 2024, Volume and Issue: 27(12), P. 111306 - 111306

Published: Nov. 5, 2024

As rail transit continues to develop, expanding railway networks increase the demand for sustainable energy supply and intelligent infrastructure management. In recent years, advanced self-powered technology has rapidly progressed toward artificial intelligence internet of things (AIoT). This review primarily discusses self-sensing systems in transit, analyzing their current characteristics innovative potentials different scenarios. Based on this analysis, we further explore an IoT framework supported by sensing including device nodes, network communication, platform deployment. Additionally, technologies about cloud computing edge deployed enable more effective utilization. The algorithms such as machine learning (ML) deep (DL) can provide comprehensive monitoring, management, maintenance environments. Furthermore, study explores research other cross-disciplinary fields investigate potential emerging analyze trends future development transit.

Language: Английский

Citations

1