Development of IoT-Based Particulate Matter Monitoring System for Construction Sites
Bibliographic Data
| ID | 15463831 |
|---|---|
| Authors | Hyunsik Kim (0000-0003-2584-478X, Hanyang University), Sungho Tae (0000-0001-7847-3922, Hanyang University, corresponding author), Pengfei Zheng (0000-0002-0840-4291, Hanyang University), GeonUk Kang (Daedan Inc., 155, Ansandaehak-ro, Ansan 15328, Korea), Han‐Seung Lee (0000-0001-9776-5859, Hanyang University) |
| Year | 2021 |
| Volume | 18 |
| Issue | 21 |
| Pages | 11510-11510 |
| Publication date | 2021-11-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph182111510 |
| PMID | 34770025 |
| OpenAlex | W3208008358 |
| Language | EN |
| References cited | 15 |
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
Certification · Embedded system · Field (mathematics · Internet of Things · Particulates · Range (aeronautics · Real-time computing · Systems engineering · Air Quality Monitoring and Forecasting · Computer Science · Engineering · Environmental Science · Impact of Light on Environment and Health · Water Quality Monitoring and Analysis
Internet of Things (IoT)
A System Based on the Internet of Things for Real-Time Particle Monitoring in Buildings
Using Low-Cost Sensors to Assess Fine Particulate Matter Infiltration (PM2.5) during a Wildfire Smoke Episode at a Large Inpatient Healthcare Facility
Implementation of IoT-Based Air Quality Monitoring System for Investigating Particulate Matter (PM10) in Subway Tunnels
| Highly cited | No |
|---|