Monitoring simulation in earthworks through remote sensing
DOI:
https://doi.org/10.33448/rsd-v12i2.40039Keywords:
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.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Gustavo Araújo Vasconcelos; Francisco Kelson Pereira Alves; Beatriz Fernandes Macário Sousa; Rogeane Morais Ribeiro; José Leandro Gomes; Francisco Roger Freire Carvalho; Dionísio Pereira Lima Filho
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
1) Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2) Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3) Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.