Blockchain-based network concept model for reliable and accessible fine dust management system at construction sites
Applied Sciences (Switzerland)
In total, 44.3% of particle matter 10 (PM10) is fugitive dust, and one of the main sources of fugitive dust generation in Korea is construction work (22%). Construction sites account for 84% of the total business places that have reported fugitive dust generation. Currently, the concentration of fine dust at construction sites is being remotely monitored by government inspection agencies through IoT sensors, but it is difficult to trust that appropriate fine dust reduction measures are being taken, because contractors can avoid taking these measures by submitting false reports or photos. In addition, since the fine dust monitoring system under government management is not an open platform and centralized system, residents near construction sites encounter difficulties in accessing information about fine dust. Therefore, in this study, we designed and constructed a blockchain network model to transparently and reliably provide network participants with the information associated with IoT data and fine dust reduction measures. To operate the blockchain network, we designed the chaincode, DApp, and network architecture. In addition, information on fine dust concentration and reduction measure photos were shared with the participants via the blockchain search tool (Hyperledger Explorer). The proposed blockchain network is expected to form a trust protocol among contractors, government inspection agencies, and citizens.
Blockchain, Construction, DApp, Decentralization, Distributed ledger technology, Dust management, Fine dust, IoT
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Civil and Environmental Engineering
Seungwon Cho, Muhammad Khan, Jaeho Pyeon, and Chansik Park. "Blockchain-based network concept model for reliable and accessible fine dust management system at construction sites" Applied Sciences (Switzerland) (2021). https://doi.org/10.3390/app11188686