Evidence map›Paper›PMID 32599921›Full record

ArticleSensors (Basel, Switzerland)2020

Developing of Low-Cost Air Pollution Sensor-Measurements with the Unmanned Aerial Vehicles in Poland.

Sławomir Pochwała, Arkadiusz Gardecki, Piotr Lewandowski, Viola Somogyi, Stanisław Anweiler

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

5 authors.

Sławomir PochwałaDepartment of Mechanical Engineering, Opole University of Technology, 45-271 Opole, Poland.
Arkadiusz GardeckiDepartment of Automatic Control and Informatics, Opole University of Technology, 45-758 Opole, Poland.ORCID 0000-0003-4420-1157
Piotr LewandowskiDepartment of Mechanical Engineering, Opole University of Technology, 45-271 Opole, Poland.
Viola SomogyiFaculty of Engineering, University of Pannonia, 8200 Veszprem, Hungary.ORCID 0000-0002-7401-3942
Stanisław AnweilerDepartment of Mechanical Engineering, Opole University of Technology, 45-271 Opole, Poland.ORCID 0000-0003-4457-2740

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article presents the capabilities and selected measurement results from the newly developed low-cost air pollution measurement system mounted on an unmanned aerial vehicle (UAV). The system is designed and manufactured by the authors and is intended to facilitate, accelerate, and ensure the safety of operators when measuring air pollutants. It allows the creation of three-dimensional models and measurement visualizations, thanks to which it is possible to observe the location of leakage of substances and the direction of air pollution spread by various types of substances. Based on these models, it is possible to create area audits and strategies for the elimination of pollution sources. Thanks to the usage of a multi-socket microprocessor system, the combination of nine different air quality sensors can be installed in a very small device. The possibility of simultaneously measuring several different substances has been achieved at a very low cost for building the sensor unit: 70 EUR. The very small size of this device makes it easy and safe to mount it on a small drone (UAV). Because of this device, many harmful chemical compounds such as ammonia, hexane, benzene, carbon monoxide, and carbon dioxide, as well as flammable substances such as hydrogen and methane, can be detected. Additionally, a very important function is the ability to perform measurements of PM

Indexed as

air pollutionparticulate mattersensorUAVvertical profile

Identifiers

PMID32599921
PMCPMC7348723

What OpenQuestion holds

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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.