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ShanghaiTech University Knowledge Management System
IntelliSense Bio-Ionotronics Battery for Early Warning of Geological Seepage | |
2023 | |
发表期刊 | ACS SENSORS (IF:8.2[JCR-2023],8.4[5-Year]) |
ISSN | 2379-3694 |
EISSN | 2379-3694 |
卷号 | 8期号:7页码:2731-2739 |
发表状态 | 已发表 |
DOI | 10.1021/acssensors.3c00579 |
摘要 | Waterseepage-induced geological hazards (SIGHs), including landslides,collapse, debris flow, and ground fissures, often cause substantialhuman mortality, economic losses, and environmental damage. However,an early warning of geological water seepage remains a significantchallenge. A self-powered, cost-effective, reliable, and susceptibleSIGH early warning system (SIGH-EWS) is reported herein. This systemdesigned the all-solid, sustainable, fire retardant, and safe-to-usebio-ionotronic batteries to provide a stable power supply for Internetof Things chipsets. Furthermore, the batteries' outstandinghumidity and water sensitivity allow sensing of the water seepageemergence. Integrating energy management and wireless communicationsystems, the SIGH-EWS realizes timely alerts for early water seepagein different water and soil environments with a time resolution inseconds. Based on these merits, the SIGH-EWS demonstrates promisingapplication prospects for early warning of geological disasters andcorresponding design strategies that can potentially guide the designsof next-generation geological hazard alarm systems. |
关键词 | silk bacterial cellulose ionotronics wireless sensor self-powered water seepage |
URL | 查看原文 |
收录类别 | SCI ; EI |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[ |
WOS研究方向 | Chemistry ; Science & Technology - Other Topics |
WOS类目 | Chemistry, Multidisciplinary ; Chemistry, Analytical ; Nanoscience & Nanotechnology |
WOS记录号 | WOS:001011141200001 |
出版者 | AMER CHEMICAL SOC |
EI入藏号 | 20232614307919 |
EI主题词 | Alarm systems |
EI分类号 | 481.1 Geology ; 702.1 Electric Batteries ; 911.2 Industrial Economics ; 914.1 Accidents and Accident Prevention |
原始文献类型 | Journal article (JA) |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/303062 |
专题 | 物质科学与技术学院_硕士生 信息科学与技术学院_PI研究组_梁俊睿组 物质科学与技术学院_PI研究组_凌盛杰组 物质科学与技术学院_PI研究组_李健组 信息科学与技术学院_硕士生 物质科学与技术学院_PI研究组_刘一凡组 |
共同第一作者 | Dai, Chenchen; Yang, Hailiang |
通讯作者 | Chen, Wenshuai; Liang, Junrui; Ling, Shengjie |
作者单位 | 1.ShanghaiTech Univ, Sch Phys Sci & Technol, Shanghai 201210, Peoples R China 2.Northeast Forestry Univ, Key Lab Biobased Mat Sci & Technol, Minist Educ, Harbin 150040, Peoples R China 3.ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai 201210, Peoples R China 4.Shanghai Clin Res & Trial Ctr, Shanghai 201210, Peoples R China |
第一作者单位 | 物质科学与技术学院 |
通讯作者单位 | 信息科学与技术学院; 物质科学与技术学院 |
第一作者的第一单位 | 物质科学与技术学院 |
推荐引用方式 GB/T 7714 | Zhu, Jinling,Dai, Chenchen,Yang, Hailiang,et al. IntelliSense Bio-Ionotronics Battery for Early Warning of Geological Seepage[J]. ACS SENSORS,2023,8(7):2731-2739. |
APA | Zhu, Jinling.,Dai, Chenchen.,Yang, Hailiang.,Shan, Yicheng.,Ren, Jing.,...&Ling, Shengjie.(2023).IntelliSense Bio-Ionotronics Battery for Early Warning of Geological Seepage.ACS SENSORS,8(7),2731-2739. |
MLA | Zhu, Jinling,et al."IntelliSense Bio-Ionotronics Battery for Early Warning of Geological Seepage".ACS SENSORS 8.7(2023):2731-2739. |
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