A Fully Self-Powered Vibration Monitoring System Driven by Dual-Mode Triboelectric Nanogenerators

Abstract

Vibration sensor is very necessary for monitoring the structural health of constructions. However, it is still a major challenge to meet simultaneously real-time monitoring, continuous assessment, and early incident warning in a simple device without a complicated power and analysis system. Here, we report a selfpowered vibration sensor system to achieve real-time and continuous detection of the vibration characteristics from a dual-mode triboelectric nanogenerator (AC/DC-TENG), which can produce either alternating current (AC) or direct current (DC) within different operation zones. Within the vibration-safe region, the AC/DC-TENG with AC output not only can continuously assess the vibration characteristics but also can power the signal transmission. More importantly, once the vibration amplitude crosses the danger threshold, the AC converts immediately to DC, meanwhile triggering the alarm system directly to accurately predict the danger of construction. Our self-powered vibration sensor system can serve as a facile tool for accurately monitoring the structural health of constructions.

Self-Powered Sensors and Systems Based on Nanogenerators

“…If a hand tries to pull the handle of a locked car, an alarm will sound. The feasibility of the TENGs for smart sport monitoring is shown in Figure 20e [206]. Through integrating durable and flexible wood-based TENGs into a ping-pong table, a smart ping-pong table can be built that can act as the foundation to construct a self-powered edge ball judgement system and a self-powered falling point distribution statistical system.…”

“…This work can expand the application area of TENG to smart sport monitoring and assisting and can also boost the development of big data in the intelligent sports industry. In the application area of structural health monitoring, a TENG can act as a self-powered vibration sensor [82,206]. In Figure 20f, based on a dual-mode TENG, a self-powered vibration sensor is proposed to realize the continuous and real-time perception of vibration characteristics [206].…”

“…In the application area of structural health monitoring, a TENG can act as a self-powered vibration sensor [82,206]. In Figure 20f, based on a dual-mode TENG, a self-powered vibration sensor is proposed to realize the continuous and real-time perception of vibration characteristics [206]. During the vibration-safe range, the TENG with AC output can continuously acquire the vibration characteristics and drive the signal transmitter.…”

Bionic‐Fin‐Structured Triboelectric Nanogenerators for Undersea Energy Harvesting

“…As an emerging technology, triboelectric nanogenerator (TENG), which achieves in situ converting mechanical energy into electric energy based on triboelectrification and electrostatic induction, [9][10][11] has caught much attention owing to its advantages of light-weight, [12] low-cost and high efficiency at low frequency. [13] The self-powered system, which consists of the TENG modules and other technical modules, has been widely applied in the energy harvesting and storage systems, [14] environment protection, [15] Internet of Things, [16] marine monitoring. [9,17] More importantly, the advantages of low-weight for TENG is conducive to the design of floating wave energy harvesting device, and the superiority of high efficiency at low frequency matches the low-frequency motion characteristic of wave, and the merit of lowcost is beneficial to the large-scale harvest of wave energy.…”

A Triboelectric Nanogenerator Consisting of Polytetrafluoroethylene (PTFE) Pellet for Self‐Powered Detection of Mechanical Faults and Inclination in Dynamic Mechanics

“…It is inevitable that most mechanical equipment generates mechanical shock during operation, [24,25] which may cause problems such as screw loosening or breakage. In general, to detect such kinds of problems, regularly manual checks are adopted, [26,27] which, however, are both inefficient and inaccurate and often fail to detect potential faults in time. [28,29] Therefore, it is highly expected that a new approach will be invented to inspect potential mechanical failure in real time and with high accuracy.…”