Monitoring simulation in earthworks through remote sensing

Authors

DOI:

https://doi.org/10.33448/rsd-v12i2.40039

Keywords:

Landscaping; Collecting data automatically; Internet of things.

Abstract

The objective of the study is to implement a remote monitoring tool for earthworks through the Arduino platform and cloud storage. As for methodological procedures, data collection in an earthworks work is still a great difficulty, requiring a number of people and equipment, where all this information is done in many cases manually. This work presents a way to systematize this whole process, collecting data automatically, using the concept of Internet of Things. To make it a reality, prototypes were built, with sensors that can be installed in earthmoving equipment, where they are connected via Wi-Fi, generating important information for a database. The results indicate that the data collected by the RFID sensor, sent to the database via radio communication, were satisfactory, thus being able to adapt it to any equipment to be monitored. It is expected that the techniques developed in this research will be relevant in real-scale use in earthworks.

References

Askew, W. H. et al. (2002). Planning linear construction projects: automated method for the generation of earthwork activities. Automation in Construction, 11, 643–653.

Azar, E. R., & Kamat, V. R. (2017). Earthmoving equipment automation: a review of technical advances and future outlook. Journal of Information Technology in Construction (ITcon), 22 (13), 247–265.

Dias, S. C. et al. (2020). Cenário da Construção Civil no Brasil durante a pandemia da COVID-19. Research, Society and Development, 9(7), e528974464. https://doi.org/10.33448/rsd-v9i7.4464.

Inovar Topografia. Terraplenagem e sua história. 2014. Recuperado de https://inovartopografia.com.br/terraplenagem-e-sua-historia/.

Jayawardane, A. K. W., & Harris, F. C. (1990). Further development of integer programming in earthwork optimization. Journal of Construction Engineering and Management, 116, 18-34.

Kochovski, P., & Stankovski, V. (2018). Supporting smart construction with dependable edge computing infrastructures and applications. Automation in Construction, Elsevier, 85, 182–192.

Lilis, G., & Kayal, M. (2018). A secure and distributed message oriented middleware for smart Building applications. Automation in Construction, Elsevier, 86, 163–175.

Li, C. Z. et al. (2018). An internet of things-enabled bim platform for on-site assembly services in prefabricated construction. Automation in Construction, Elsevier, 89, 146–161.

Miranda, S. B. A. et al. (2020). Avaliação da produção e do gerenciamento de resíduos de construção e demolição em Belém – Pará – Brasil. Research, Society and Development, 9(7), e83973761. DOI: https://doi.org/10.33448/rsd-v9i7.3761.

Omar, T., & Nehdi, M. L. (2016). Data acquisition technologies for construction progress tracking. Automation in Construction, Elsevier, 70, 143-155.

Pereira Júnior, A. et al. (2021). Ações antrópicas ocorridas no bairro Maracanã e a avaliação de impactos ambientais em Santarém – PA. Research, Society and Development, 10(15), e433101523172. DOI: https://doi.org/10.33448/rsd-v10i15.23172.

Severino, A. J. (2018). Metodologia do trabalho científico. Ed. Cortez.

Xu, J., & Lu, W. (2018). Smart construction from head to toe: A closed-loop lifecycle management system based on IOT. Construction Research Congress, 157–168.

Published

11/02/2023

How to Cite

VASCONCELOS, G. A.; ALVES, F. K. P.; SOUSA, B. F. M.; RIBEIRO, R. M. .; GOMES, J. L.; CARVALHO, F. R. F.; LIMA FILHO, D. P. . Monitoring simulation in earthworks through remote sensing . Research, Society and Development, [S. l.], v. 12, n. 2, p. e26112240039, 2023. DOI: 10.33448/rsd-v12i2.40039. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/40039. Acesso em: 22 nov. 2024.

Issue

Section

Engineerings