Automated Drone‐Delivery Solar‐Driven Onsite Wastewater Smart Monitoring and Treatment System

Abstract: Treating potential polluted water sources is urgent and challenging, especially for natural water sources. Numerous research groups focus on either smart water monitoring or new adsorbent. However, either aspect alone is insufficient for complex nature water source treatment. Here, integrating the state‐of‐art machine learning technique, a sustainable silk‐based bioadsorbent, and wireless Internet of Things, an integrated automated drone‐delivery solar driven onsite water monitoring & treatment system (WMTS) for the contaminated nature water sources is developed. In short, the embedded sensors and microprogrammed control unit capture and upload the real‐time monitoring data to the cloud server for data analysis and optimized treatment strategy. Meanwhile, a grid map system based on the satellite remote sensing images directs the minimum number of WMTS units to cover the entire polluted region. Finally, unmanned aerial vehicles provide autonomous dispatch, operation, and maintenance, especially in hard‐to‐reach sites. Overall, this work offers a general, sustainable, energy‐efficient, and closed‐loop solution toward efficiently alerting and on‐site treating nature water source contamination.

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch

Erschienen in
Automated Drone‐Delivery Solar‐Driven Onsite Wastewater Smart Monitoring and Treatment System ; day:26 ; month:06 ; year:2023 ; extent:10
Advanced science ; (26.06.2023) (gesamt 10)

Urheber
He, Fengjie
Zhu, Ming
Fan, Jiawei
Ma, Edwin
Zhai, Shengjie
Zhao, Hui

DOI
10.1002/advs.202302935
URN
urn:nbn:de:101:1-2023062615225676983018
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
16.08.2025, 22:55 MESZ

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Beteiligte

  • He, Fengjie
  • Zhu, Ming
  • Fan, Jiawei
  • Ma, Edwin
  • Zhai, Shengjie
  • Zhao, Hui

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