Evidence map›Paper›PMID 34770025›Full record

ArticleInternational journal of environmental research and public health2021

Development of IoT-Based Particulate Matter Monitoring System for Construction Sites.

Hyunsik Kim, Sungho Tae, Pengfei Zheng, Geonuk Kang, Hanseung Lee

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

5 authors.

Hyunsik KimDepartment of Architectural Engineering, Hanyang University, Ansan 15588, Korea.ORCID 0000-0003-2584-478X
Sungho TaeSchool of Architecture and Architectural Engineering, Hanyang University, Ansan 15588, Korea.
Pengfei ZhengDepartment of Architectural Engineering, Hanyang University, Ansan 15588, Korea.
Geonuk KangDaedan Inc., 155, Ansandaehak-ro, Ansan 15328, Korea.
Hanseung LeeSchool of Architecture and Architectural Engineering, Hanyang University, Ansan 15588, Korea.ORCID 0000-0001-9776-5859

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Particulate matters (PMs) generated on construction sites can pose serious health risks to field workers and residents living near construction sites. PMs are generated in a wide range of locations; therefore, they must be managed in real time at various locations within construction sites for practical management of the PMs. However, no such systems exist currently. Therefore, this study aims to develop a system that can manage PMs in real time at multiple locations in a construction site using the Internet of Things technology. Accordingly, measuring instrument, network, and program services were developed as system components, while considering the characteristics of construction sites, and the construction site PM monitoring system was developed by integrating these components. Finally, performance certification and field application tests were performed to verify the developed system. The construction site PM monitoring system (CPMS) achieved grade 1 for reproducibility, relative precision, and data acquisition rate, and grade 2 for accuracy and coefficient of determination. Thus, it received a performance certification of grade 2, in total. In particular, regarding accuracy, which is a shortcoming of the light-scattering method and represents the accuracy of measurements, the CPMS was found to have an accuracy of 74.2%.

Indexed as

Air PollutantsParticulate MatterEnvironmental MonitoringHumansReproducibility of ResultsAir PollutantsParticulate Matterconstruction sitedustIoTmonitorparticulate matter

Identifiers

PMID34770025
PMCPMC8582927

What OpenQuestion holds

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Registered trials

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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.