Pressure Sensing Resonant Circuit Triggered By Triboelectric Plasma And Self-Powered Wireless Gesture Recognition System

The rapid development of the Internet of Things depends on the construction of wireless sensor networks.In order to solve the problem of power supply for tens of thousands of sensors,Professor Wang Zhonglin proposed the concept of self-powered sensing systems based on nanoenergy in 2006.Nanoenergy refers to micro-nanomaterials manufactured using nanotechnology to achieve efficient collection and storage of mechanical energy in the environment and provide energy for micro-nano systems without later maintenance.The self-powered sensing system can provide power to the system by collecting the mechanical energy in the environment,thus ensuring the sustainable operation of the system.In Chapter 2,a novel self-powered real-time wireless sensing scheme is developed utilizing the peak power of Triboelectric Nanogenerator(TENG)through triboelectric plasma discharge.The soft contact triboelectric nanogenerator(SC-TENG)serves as the power source,while the capacitor-inductor(LC)resonant circuit is utilized for wireless signal transmission.The TENG’s power output generates triboelectric plasma at the Tip-tip air discharge switch,creating a "bridge" of energy transfer between the TENG and LC circuits.Through experiments,the effects of tip-tip distance,SC-TENG rotational speed,and load on TENG output characteristics were investigated.The feasibility of wireless communication was demonstrated by utilizing arc discharge pulses to drive LC circuits and radiate electromagnetic waves.The incorporation of the "bridge" not only significantly enhances the instantaneous output power of TENG,but also effectively resolves the impedance mismatch issue between TENG and LC circuits,and the optimal utilization of the instantaneous power generated by SC-TENG is ensured.Moreover,due to the unidirectional instantaneous nature of plasma discharge,the "bridge" is instantaneously severed upon completion of energy transfer,achieving decoupling of the LC circuit from its equivalent capacitance in SC-TENG and significantly enhancing signal oscillation frequency(72.55MHz),which currently represents the highest frequency achievable by an LC circuit driven by TENG.Finally,a self-powered wireless pressure sensing system is developed,which can display the pressure on the computer screen in real time.Thanks to the efficient utilization of TENG’s instantaneous output power,the system is capable of achieving self-powered wireless communication over an ultra-long distance of 40 meters.In this work,the LC circuit is directly driven by triboelectric plasma discharge pulse output to generate high-frequency oscillation signals,eliminating the need for complex energy management circuits.This enables direct coupling of energy harvesting,sensing and communication,making it suitable for ultra-long distance self-powered real-time wireless sensing.The results demonstrate its potential value in the field of self-powered wireless collaborative sensing.In Chapter 3,based on Chapter 2,a capacitive pressure sensor is made,and a self-powered wireless gesture recognition system with instantaneous transmission function is designed.The total capacitance value of the flexible capacitive pressure sensor array integrated on the glove,that is the gesture information,determines the oscillation frequency of the LC resonant circuit.The self-powered wireless gesture recognition system realizes the recognition of 5 kinds of gestures.Finally,the error analysis of the system is carried out,the cause of the error is made clear,and the error elimination method is put forward through the frequency band corresponding to the gesture.In this self-powered wireless gesture recognition system,gesture information collection and wireless signal transmission are all powered by the TENG,and gesture recognition results can be visually,accurately and instantaneously displayed on the display screen without complex machine learning and neural network calculation.The self-powered wireless gesture recognition system will have important application prospects in human-computer interaction and symbolic language.