Examinando por Autor "Li, Xiaolu"

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Eco-friendly functional cellulose paper as a fire alarming via wireless warning transmission for indoor fireproofing
(Elsevier, 2023-06-09) Li, Xiaolu; Sánchez del Río Saez, José; Vázquez-López, Antonio; Ao, Xiang; Sánchez Díaz, Raquel; Wang, De-Yi
Herein, a strategy for fabricating wallpaper-based smart fire-warning systems to monitor and mitigate indoor fires is proposed. The fire-warning system, based on eco-friendly cellulose paper (CP), is produced via a simple dip-coating technique and provides flexibility, rapid low-temperature warning, and novel local and remote wireless signal conversion capability. Specifically, this fire-warning system can balance flexibility and flame retardancy, reducing the negative impact on the mechanical properties after adding flame retardants. Furthermore, the proposed fire-warning system meets the critical requirement of a fast low-temperature warning, showing warning messages within 2 s under 250 ºC, decreasing the response temperature below the combustion temperature of common materials (＞300 ºC). Moreover, the luminosity and temperature data collected can be sent to local and remote computers by wireless conversion. This work gives insight into the new generation of low-temperature smart fire-warning systems, including the contribution of wireless warning signal transmission to achieve smart and efficient fire detection.
Recent Advances on Early-Stage Fire-Warning Systems: Mechanism, Performance, and Perspective
(Springer, 2022-10-06) Li, Xiaolu; Vázquez-López, Antonio; Sánchez del Río Saéz, José; Wang, De-Yi
Early-stage fire-warning systems (EFWSs) have attracted significant attention owing to their superiority in detecting fire situations occurring in the pre-combustion process. Substantial progress on EFWSs has been achieved recently, and they have presented a considerable possibility for more evacuation time to control constant unintentional fire hazards in our daily life. This review mainly makes a comprehensive summary of the current EFWSs, including the working mechanisms and their performance. According to the different working mechanisms, fire alarms can be classified into graphene oxide-based fire alarms, semiconductor-based fire alarms, thermoelectric-based fire alarms, and fire alarms on other working mechanisms. Finally, the challenge and prospect for EFWSs are briefly provided by comparing the art of state of fire alarms. This work can propose a more comprehensive understanding of EFWSs and a guideline for the cutting-edge development direction of EFWSs for readers.