Author
Listed:
- Lindong Liu
(University of Science and Technology Beijing
Chinese Academy of Sciences)
- Yurui Shang
(Chinese Academy of Sciences
University of Chinese Academy of Sciences)
- Andy Berbille
(Chinese Academy of Sciences
University of Chinese Academy of Sciences)
- Morten Willatzen
(Chinese Academy of Sciences
University of Chinese Academy of Sciences
Aalborg University)
- Yuan Wang
(University of Science and Technology Beijing)
- Xunjia Li
(Chinese Academy of Sciences)
- Longyi Li
(Chinese Academy of Sciences
University of Chinese Academy of Sciences)
- Xiongxin Luo
(Chinese Academy of Sciences
University of Chinese Academy of Sciences)
- Jianwu Chen
(University of Science and Technology Beijing
China Academy of Safety Science and Technology)
- Bin Yang
(University of Science and Technology Beijing
China Academy of Safety Science and Technology)
- Cuifeng Du
(University of Science and Technology Beijing)
- Zhong Lin Wang
(Chinese Academy of Sciences
University of Chinese Academy of Sciences)
- Laipan Zhu
(Chinese Academy of Sciences
University of Chinese Academy of Sciences)
Abstract
Gold’s crucial role in economic and technological developments has driven the industry towards underground mining, with air quality concerns challenging workers’ safety. Currently, commercial solutions to assess air quality and safety in underground mines often suffer from low accuracy, high installation and maintenance costs, without providing data on noxious gases. To address these limitations, we developed a triboelectric self-powered sensing-platform (TESS) employing two distinct triboelectric nanogenerators (TENGs) modules to achieve power generation and wind-speed sensing function, with an ultra-low starting wind speed (0.32 m s−1), capable of operating for up to 3 months in underground mining tunnels. Wind-sensing capabilities are accrued by a horizontal turbine based on non-contact TENGs. Meanwhile, the TESS is powered by a distinct array of TENGs that operates via a new working mode, balancing the advantages of contact-separation and free-standing modes. Assisted by an optimized self-driven power management system, the TESS attains a charging power density of 16.36 mW m−2; this power is delivered every 166 s to a sensor node (temperature, relative humidity, pressure, and concentrations of CO, NO2, NH3), a data processing unit, and a LoRa transmitter. This work represents a leap forward in developing robust, cost-effective, battery-free, and wireless TENG-based environmental sensing platforms.
Suggested Citation
Lindong Liu & Yurui Shang & Andy Berbille & Morten Willatzen & Yuan Wang & Xunjia Li & Longyi Li & Xiongxin Luo & Jianwu Chen & Bin Yang & Cuifeng Du & Zhong Lin Wang & Laipan Zhu, 2025.
"Self-powered sensing platform based on triboelectric nanogenerators towards intelligent mining industry,"
Nature Communications, Nature, vol. 16(1), pages 1-13, December.
Handle:
RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-60418-9
DOI: 10.1038/s41467-025-60418-9
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-60418-9. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.