4.8 Article

A self-powered triboelectric multi-information motion monitoring sensor and its application in wireless real-time control

期刊

NANO ENERGY
卷 97, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.nanoen.2022.107150

关键词

Triboelectric nanogenerator; Self-powered motion sensor; Human-machine interaction; Mechanical energy harvesting; Wireless sensor system

资金

  1. National Natural Science Foundation of China [61974071, 61601394]
  2. National Key R&D Program of China [2021YFA1202904]
  3. Jiangsu Province Post-graduate Research and Practice Innovation Project Foundation of China [KYCX18-0898]
  4. National Key Research and Development Program of China [2017YFA0205302]
  5. Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD) [YX030003]
  6. Jiangsu Provincial Key Research and Development Program [BE2018732]
  7. Jiangsu Shuangchuang Talent Program [NY218151, NY218157]
  8. Science and Technology Innovation Project for Overseas Students in Nanjing
  9. Nanjing University of Posts and Telecommunications

向作者/读者索取更多资源

With the advantages of low power consumption, low cost, and miniaturization, self-powered sensors have a wide range of applications. This study proposes a novel self-powered triboelectric multi-information motion monitoring sensor and establishes the relationship between electrical signals and kinetic parameters. The results show that the sensor can accurately detect various motion parameters. A wireless self-powered motion monitoring system based on the sensor is also developed, demonstrating high sensitivity and self-powered nature.
With the advantages of low power consumption, low cost and miniaturization, self-powered sensors have a wide range of applications in the human-machine interface, Internet of Things (IoTs), sports monitoring and versatile fields. Here, a novel and easy-processing self-powered triboelectric multi-information motion monitoring sensor ((TMS)-S-3) is proposed and systemically investigated under the conditions of rolling and sliding motion. The relationships between electrical signals (charge, rate of charge change, current, rate of current change, voltage, etc.) and kinetic parameters (displacement, direction, velocity, acceleration, etc.) are established and verified with various motion states. The results show that (TMS)-S-3 can precisely detect the displacement, direction, velocity, and acceleration of the moving object, demonstrating excellent performance in motion monitoring. Furthermore, a wireless self-powered motion monitoring system based on (TMS)-S-3 is developed, which can detect the movement of a sliding mouse in real time, wirelessly transmit sensing data instantaneously, and achieve real-time control in human-machine interface. The real-time motion monitoring system exhibits two significant advantages of high sensitivity and self-powered nature, showing huge potential in low power consumption IoTs and intelligent human-machine interaction.

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