Passive Internet of Events Enabled by Broadly Compatible Self‐Powered Visualized Platform Toward Real‐Time Surveillance
Autor: | Chaojie Chen, Haoran Zhang, Guoqiang Xu, Tingting Hou, Jingjing Fu, Haoyu Wang, Xin Xia, Cheng Yang, Yunlong Zi |
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Jazyk: | angličtina |
Rok vydání: | 2023 |
Předmět: | |
Zdroj: | Advanced Science, Vol 10, Iss 34, Pp n/a-n/a (2023) |
Druh dokumentu: | article |
ISSN: | 2198-3844 20230435 |
DOI: | 10.1002/advs.202304352 |
Popis: | Abstract Surveillance is an intricate challenge worldwide especially in those complicated environments such as nuclear plants, banks, crowded areas, barns, etc. Deploying self‐powered wireless sensor nodes can increase the system's event detection capabilities by collecting environmental changes, while the incompatibility among components (energy harvesters, sensors, and wireless modules) limits their application. Here, a broadly compatible self‐powered visualized platform (SPVP) is reported to construct a passive internet of events (IoE) network for surveillance systems. By encoding electric signals into reference and working LEDs, SPVP can visualize resistance change generated by commercial resistive sensors with a broad working range ( |
Databáze: | Directory of Open Access Journals |
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