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| 1 | Identifying human body states by using a flexible integrated sensor显示文摘Flexible sensors are required to be lightweight,compatible with the skin,sufficiently sensitive,and easily integrated to extract various kinds of body vital signs during continuous healthcare monitoring in daily life.For this,a simple and low-cost flexible temperature and force sensor that uses only two carbon fiber beams as the sensing layer is reported in this work.This simple,flexible sensor can not only monitor skin temperature changes in real time but can also extract most pulse waves,including venous waves,from most parts of the human body.A pulse diagnostic glove containing three such flexible sensors was designed to simulate pulse diagnostic methods used in traditional Chinese medicine.Wearable equipment was also designed in which four flexible sensors were fixed onto different body parts(neck,chest,armpit,and fingertip)to simultaneously monitor body temperature,carotid pulse,fingertip artery pulse,and respiratory rate.Four important physiological indicators—body temperature(BT),blood pressure(BP),heart rate(HR),and respiratory rate(RR)—were extracted by the wearable equipment and analyzed to identify exercise,excited,tired,angry,and frightened body states. | Ying Jin Guoning Chen Kete Lao Songhui Li Yong Lu Yufeng Gan Zhundong Li Jiajia Hu Jingcheng Huang Jinxiu Wen Honggui Deng Min Yang Zhiming Chen Xiaoyan Hu Baowen Liang Jianyi Luo | 2020 | npj Flexible Electronics2020，4，1： | 2 |
| 2 | Round-trip oscillation triboelectric nanogenerator with high output response and low wear to harvest random wind energy显示文摘Triboelectric nanogenerator(TENG)has made significant progress in wind energy harvesting.As the most advantageous rotary TENG among wind energy harvesters,the severe material wear and the output that fluctuates with wind speed seriously hinder the application of TENG wind energy harvesters.In this study,we propose a round-trip oscillation triboelectric nanogenerator(RTO-TENG)consisting of a crank transmission mechanism and a power generation unit.The RTO-TENG utilizes a simple crank transmission mechanism combined with a zigzag-laminated triboelectric nanogenerator(Z-TENG)to achieve high-performance constant output and low material wear.The crank transmission mechanism can realize the transformation from circular motion to arc reciprocating motion,converting the random wind energy into bi-directional kinetic energy,driving the vertical contact and separation of the Z-TENG.Due to the low transmission ratio(1:1)of the crank transmission mechanism and the consistent frequency of the Z-TENG contact–separation with that of the pendulum,the RTO-TENG’s power generation unit(10 Z-TENGs)is insensitive to changes in wind speed,resulting in a constant and stable output response at various speeds.After 480,000 cycles,the output of RTO-TENG decreased by only 0.9%compared to the initial value of 6μC,and the scanning electron microscopy(SEM)images of the polytetrafluoroethylene(PTFE)film showed no significant wear on the surface of the friction layer,demonstrating excellent output stability and abrasion resistance of the RTO-TENG wind energy collector’s material.The equipped energy management module,based on a gas discharge tube switch,can further enhance the output performance of the RTO-TENG.After optimizing its inductor parameter L to match the load capacitor,it can charge a 220μF load capacitor to 13.4 V in 40 s,resulting in a 298%improvement in charging speed compared to the voltage of 4.48 V without the management module.Therefore,the RTO-TENG can efficiently provide power to low-power small electronic devices for Internet of Things(IoTs),such as road traffic warning signs and thermo-hygrometers. | Xinyu Hu Junrui Feng Chuangjian Liang Heng Ning Chunjin Chen Jiayu Li Honggui Wen Huilu Yao Lingyu Wan Guanlin Liu | 2023 | Nano Research2023，16，8： | 1 |
| 3 | Fuzzy super-twisting sliding mode control for municipal wastewater nitrification process显示文摘A fuzzy super-twisting algorithm sliding mode controller is developed for the dissolved oxygen concentration in municipal wastewater nitrification process. First, a fuzzy neural network(FNN) model is designed to approach the oxygen dynamics with unmeasurable disturbances, then the established model consists of the nominal system model and the modelling error. Second,based on the FNN model, a super-twisting sliding mode controller is employed to stabilize the nominal system and to suppress the modelling error. Moreover, the stability of the system is investigated and an adaption law is applied to ensure the robustness of the closed-loop system. Finally, the comparison experiments on benchmark simulation model no. 2(BSM2) of wastewater treatment show the advantages of the proposed method in multiple-units oxygen concentration control. | HAN HongGui WANG Tong SUN HaoYuan WU XiaoLong LI Wen QIAO JunFei | 2022 | Science China(Technological Sciences)2022，65，10： | 1 |
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