Evidence map›Paper›PMID 37357989›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

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

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

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Automated Drone-Delivery Solar-Driven Onsite Wastewater Smart Monitoring and Treatment System.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Fengjie HeDepartment of Mechanical Engineering, University of Nevada, Las Vegas, NV, 89154, USA.
Ming ZhuDepartment of Electrical and Computer Engineering, Engineering, University of Nevada, Las Vegas, NV, 89154, USA.
Jiawei FanDepartment of Electrical and Computer Engineering, Engineering, University of Nevada, Las Vegas, NV, 89154, USA.
Edwin MaEd W. Clark High School, Las Vegas, NV, 89102, USA.
Shengjie ZhaiDepartment of Electrical and Computer Engineering, Engineering, University of Nevada, Las Vegas, NV, 89154, USA.
Hui ZhaoDepartment of Mechanical Engineering, University of Nevada, Las Vegas, NV, 89154, USA.ORCID https://orcid.org/0000-0001-5138-6394

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

autonomous analysisdrone deliveryonsite treatmentremote monitoringsilk fibroin bioadsorbent

Identifiers

PMID37357989
PMCPMC10460888

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.