In the artificial intelligence age,multifunctional and intelligent fireproof fabric-based electronics are urgently needed.Herein,a novel thread-shaped all-fabric-based piezoresistive sensor(denoted as TAFPS)with prope...In the artificial intelligence age,multifunctional and intelligent fireproof fabric-based electronics are urgently needed.Herein,a novel thread-shaped all-fabric-based piezoresistive sensor(denoted as TAFPS)with properties such as flame retardancy,firewarning,and piezoresistivity is proposed,which is composed of an inner nickel-plated fabric electrode,a multifunctional double helix fabric,and an external flame-retardant encapsulation fabric.Owing to the multiple flame-retardant properties of glass fiber tubular fabric,aminated carbon nanotubes(ACNTs),and ammonium polyphosphate,the char residue of the TAFPS reaches40.3 wt%at 800℃.In addition,the heat-sensitive effect of ACNTs during combustion causes a rapid decrease in the TAFPS resistance,triggering the fire alarm system within 2 s.Additionally,benefiting from the force-sensitive behavior of the double helix layer and tightly wrapped pattern of the external heat-shrinkable tubular fabric,TAFPS demonstrated a high sensitivity of4.40 kPa^(-1)(0–5.81 k Pa)and good stability for 10000 s.Considering its excellent flame resistance,high sensitivity,and agreeable stability,the developed TAFPS can be integrated into fire suits to monitor the exercise training process and the external fire environment.This work offers a novel approach for fabricating all-fabric-based piezoresistive sensors in the future for fire prevention and fire alarms,with promising applications in fire protection,the Internet of Things,and smart apparel.展开更多
为建立适用于我国宏观区域的林火预警系统,以我国2000-2008年间发生的重大森林火灾为研究对象,利用MODIS数据估算森林可燃物的长势及含水量,与地理信息系统技术和数据库技术相结合,以火险指数作为预报林火发生等级的定量因子,研究并建...为建立适用于我国宏观区域的林火预警系统,以我国2000-2008年间发生的重大森林火灾为研究对象,利用MODIS数据估算森林可燃物的长势及含水量,与地理信息系统技术和数据库技术相结合,以火险指数作为预报林火发生等级的定量因子,研究并建立了林火预警模型;在商业遥感和GIS软件提供的二次开发平台下,利用Microsoft Visual Studio 2005语言,开发了林火预警系统。同时,利用选取的实验区及数据对预报方法和系统进行测试。结果表明:利用建立的林火预警系统所得的森林火险等级值,与实际发生的林火趋势基本一致;另外,火险指数可用作林火发生预警的定量分级因子。展开更多
基金supported by the National Natural Science Foundation of China(Grant No.52175554)Young Top Talent Project of the Hebei Provincial Department of Education(Grant No.BJK2023116)+2 种基金the Central Guiding Local Science and Technology Development Fund Project(Grant No.236Z4901G)the Natural Science Foundation of Hebei Province(Grant No.F2021409007)the School Research Fund Project(Grant No.YKY-2023-34)。
文摘In the artificial intelligence age,multifunctional and intelligent fireproof fabric-based electronics are urgently needed.Herein,a novel thread-shaped all-fabric-based piezoresistive sensor(denoted as TAFPS)with properties such as flame retardancy,firewarning,and piezoresistivity is proposed,which is composed of an inner nickel-plated fabric electrode,a multifunctional double helix fabric,and an external flame-retardant encapsulation fabric.Owing to the multiple flame-retardant properties of glass fiber tubular fabric,aminated carbon nanotubes(ACNTs),and ammonium polyphosphate,the char residue of the TAFPS reaches40.3 wt%at 800℃.In addition,the heat-sensitive effect of ACNTs during combustion causes a rapid decrease in the TAFPS resistance,triggering the fire alarm system within 2 s.Additionally,benefiting from the force-sensitive behavior of the double helix layer and tightly wrapped pattern of the external heat-shrinkable tubular fabric,TAFPS demonstrated a high sensitivity of4.40 kPa^(-1)(0–5.81 k Pa)and good stability for 10000 s.Considering its excellent flame resistance,high sensitivity,and agreeable stability,the developed TAFPS can be integrated into fire suits to monitor the exercise training process and the external fire environment.This work offers a novel approach for fabricating all-fabric-based piezoresistive sensors in the future for fire prevention and fire alarms,with promising applications in fire protection,the Internet of Things,and smart apparel.
文摘为建立适用于我国宏观区域的林火预警系统,以我国2000-2008年间发生的重大森林火灾为研究对象,利用MODIS数据估算森林可燃物的长势及含水量,与地理信息系统技术和数据库技术相结合,以火险指数作为预报林火发生等级的定量因子,研究并建立了林火预警模型;在商业遥感和GIS软件提供的二次开发平台下,利用Microsoft Visual Studio 2005语言,开发了林火预警系统。同时,利用选取的实验区及数据对预报方法和系统进行测试。结果表明:利用建立的林火预警系统所得的森林火险等级值,与实际发生的林火趋势基本一致;另外,火险指数可用作林火发生预警的定量分级因子。
