An intelligent self-powered life jacket system integrating multiple triboelectric fiber sensors for drowning rescue  

作　　者：Yiping Zhang Chengyu Li Chuanhui Wei Renwei Cheng Tianmei Lv Junpeng Wang Cong Zhao Zhaoyang Wang Fangming Li Xiao Peng Minyi Xu Kai Dong 

机构地区：[1]CAS Center for Excellence in Nanoscience,Beijing Key Laboratory of Micro-Nano Energy and Sensor,Beijing Institute of Nanoenergy and Nanosystems,Chinese Academy of Science,Beijing,the People's Republic of China [2]Dalian Key Lab of Marine Micro/Nano Energy and Self-Powered Systems,Marine Engineering College,Dalian Maritime University,Dalian,the People's Republic of China [3]School of Nanoscience and Technology,University of Chinese Academy of Sciences,Beijing,the People's Republic of China

出　　处：《InfoMat》2024年第5期96-109,共14页信息材料（英文）

基　　金：support received from the Natural Science Foundation of the Beijing Municipality(grant nos.L222037,2212052);the National Natura Science Foundation of China(grant no.22109012);the Fundamental Research Funds for the Central Universities(grant no.E1E46805).

摘　　要：The inherent unpredictability of the maritime environment leads to low rates of survival during accidents.Life jackets serve as a crucial safety measure in underwater environments.Nonetheless,most conventional life jackets lack the capability to monitor the wearer's underwater body movements,impeding their effectiveness in rescue operations.Here,we present an intelligent self-powered life jacket system(SPLJ)composed of a wireless body area sensing network,a set of deep learning analytics,and a human condition detection platform.Six coaxial core-shell structure triboelectric fiber sensors with high sensitivity,stretchability,and flexibility are integrated into this system.Addi-tionally,a portable integrated circuit module is incorporated into the SPLJ to facilitate real-time monitoring of the wearer's movement.Moreover,by leveraging the deep-learning-assisted data analytics and establishing a robust correlation between the wearer's movements and condition,we have developed a comprehensive system for monitoring drowning individuals,achieving an outstanding recognition accuracy of 100%.This groundbreaking work intro-duces a fresh approach to underwater intelligent survival devices,offering promising prospects for advancing underwater smart wearable devices in rescue operations and the development of ocean industry.

关 键 词：deep learning intelligent life jackets movement recognition SELF-POWERED triboelectric fiber sensors 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]