Internet das coisas aplicada à análise e correlação de dados da construção civil
DOI:
https://doi.org/10.46421/sbtic.v3i00.611Palabras clave:
Internet das coisas, Inovação, Construção Civil, Gestão de obra, Revisão sistemáticaResumen
A internet das coisas (IoT) é uma complexa tecnologia de integração ambientada com software e hardware, tecnologia de sensores, de circuitos integrados e de aplicação eletrônica. Esse artigo tem como objetivo contextualizar o uso da IoT na indústria da construção civil por meio de uma Revisão Sistemática da Literatura (RSL). Procura-se identificar e analisar as inovações na construção civil com o uso de IoT entre 2017 e 2021 a partir de publicações científicas, com a classificação dos artigos em categorias e subcategorias. Nota-se um aumento significativo de produções científicas inseridas na indústria 4.0 que que devem mudar a maneira de construir.
Descargas
Citas
ABRUZESSE, D. et al. IoT sensors for modern structural health monitoring. A new frontier. Procedia Structural Integrity, v. 25, p. 378-385, 2020.
ALAVI, A. H.; BUTTLAR, W. G. An overview of smartphone technology for citizen-centered, real-time and scalable civil infrastructure monitoring. Future Generation Computer Systems, v. 93, p. 651 - 672, 2019.
CHEN, F. et al. Real-time monitoring of construction quality for gravel piles based on Internet of Things. Automation in Construction, v. 116, p. 103-228, 2020.
CHEN, Y.; HAN, D. Water quality monitoring in smart city: A pilot project. Automation in Construction, v. 89, p. 307 - 316, 2018.
ERNSTSEN et al. How Innovation Champions Frame the Future: Three Visions for Digital Transformation of Construction. Journal of Construction and Enginnering Management, v. 147, 2021.
ERSHADUL HAQUE et al. Comparative Study of IoT-Based Topology Maintenance Protocol in a Wireless Sensor Network for Structural Health Monitoring. Remote Sens, v. 12, 2020
FANG, Z. Construction planning of university discipline based on 5G networks and Internet of Things system. Journal of Microprocessors and Microsystems, 2020.
GAO, X. et al. 2021. Internet of Things Enabled Data Acquisition Framework for Smart Building Applications. J. Constr. Eng. Manag. 147, 04020169. DOI: https://doi.org/10.1061/(asce)co.1943-7862.0001983.
HARAS, M.; SKOTNICKI, T. Thermoelectricity for IoT - A review.. Nano Energy, v. 54, p. 461 - 476, 2018.
HUANG, Z. et al. Damage detection and quantitative analysis of shield tunnel structure. Automation in Construction, v. 94, p. 303 - 316, 2018
IBEM, E. O.; LARYEA, S. Survey of digital technologies in procurement of construction projects. Automation in Construction, v. 46, p. 11 – 21, 2014.
JIA, M. et al. Adopting Internet of Things for the development of smart buildings: A review of enabling technologies and applications. Automation in Construction, v. 101, p. 111 - 126, 2019.
KANAN, R.; ELHASSAN, O.; BENSALEM, R. An IoT-based autonomous system for workers’ safety in construction sites with real-time alarming, monitoring, and positioning strategies. Automation in Construction, v. 88, p. 73-86, 2018.
KHAN, M. F. et al. Wi-Fi frequency selection concept for effective coverage in collapsed structures. Future Generation Computer Systems, v. 97, p. 409 - 424, 2019.
KOCHOVSKI, P.; STANKOVSKI, V. Supporting smart construction with dependable edge computing infrastructures and applications. Automation in Construction, v. 85, p. 182 - 192, 2018.
LEE, D. et al. Generation of 3D Terrain Map using Cell Deviation Algorithm for Earthwork. Procedia Engineering, v. 196, p. 436 - 440, 2017.
LI, C. Z. et al. An Internet of Things-enabled BIM platform for on-site assembly services in prefabricated construction. Automation in Construction, v. 89, p. 146 - 161, 2018.
LIN, C. et al. Optimal arrangement of structural sensors in soft rock tunnels based industrial IoT applications. Computer Communication. v. 156, p. 159-167, 2020.
LOUIS, J.; DUNSTON, P. S. Integrating IoT into operational workflows for real-time and automated decision-making in repetitive construction operations. Automation in Construction, v. 94, p. 317 - 327, 2018.
MACHADO, F. A.; RUSCHEL, R. C. Soluções integrando BIM e Internet das Coisas no ciclo de vida da edificação: uma revisão crítica. PARC Pesquisa em Arquitetura e Construção, Campinas, SP, v. 9, n. 3, p. 204-222, set. 2018. ISSN 1980-6809. DOI: https://doi.org/10.20396/parc.v9i3.8650216.
NASER, M. Z.; KODUR, V. K. R. Cognitive infrastructure - a modern concept for resilient performance under extreme events. Automation in Construction, v. 90, p. 253 - 264, 2018.
NIU et al. An SCO-enabled logistics and supply chain-management system in construction. Journal of Construction Engineering and Management, v. 143, p. 04016103, 2017.
NIU, Y.; ANUMBA, F.C.; LU, W. Taxonomy and Deployment Framework for Emerging Pervasive Technologies in Construction Projects. Journal of Construction Engineering and Management, v. 145, p. 04019028, 2019.
OLIVITO, et al. Inventory and monitoring of historical cultural heritage buildings on a territorial scale: a preliminary study of structural health monitoring based on the CARTIS approach. Acta Imeko, v. 10, 2021.
PISHDAD-BOZORGI et al. Planning and developing facility managementenabled building information model (FM-enabled BIM). Automation in Construction, v. 87, p. 22 - 38, 2018.
RUSCHEL, R. C. et al. Revisões sistemáticas da Literatura: Parte II. PARC Pesquisa em Arquitetura e Construção, v. 8, n. 4, p. 217-219, dez. 2017. DOI: http://dx.doi.org/10.20396/parc.v8i4.8652036
SACRAMENTO, I. C. C. .; CAMPOS, V. R. .; FERNANDES, V. de O. .; FERREIRA, E. de A. M. . Veículo aéreo não tripulado como suporte à gestão de fluxos físicos em canteiros de obra. In: SIMPÓSIO BRASILEIRO DE GESTÃO E ECONOMIA DA CONSTRUÇÃO, 2019. Anais [...]. Porto Alegre: ANTAC, 2019. p. 1–10. Disponível em: https://eventos.antac.org.br/index.php/sibragec/article/view/4. Acesso em: 30 jul. 2021.
SALIMI, S.; HAMMAD, A. Critical review and research roadmap of office building energy management based on occupancy monitoring. Energy and Buildings, v. 182, p. 214 - 241, 2019.
SÁNCHEZ-APARICIO et al. Web-GIS approach to preventive conservation of heritage buildings. Automation in Construction, v. 118, 2020.
SHARMA et al. A Survey on Applications of Artificial Intelligence for Pre-Parametric Project Cost and Soil Shear-Strength Estimation in Construction and Geotechnical Engineering. Sensors, v. 11, 2021.
SHEN, W.; NEWSHAM, G.; GUNAY, B. Leveraging existing occupancy related data for optimal control of commercial office buildings: A review. Advanced Engineering Informatics, v. 33, p. 230 - 242, 2017.
SILVA, C. L. D. Internet das coisas aplicada à análise e correlação de dados da construção civil. 2020. 66 p. Monografia de Projeto Final – Universidade de Brasília. Faculdade de Tecnologia. Departamento de Engenharia Civil e Ambiental. Brasília. 2020.
SIRAJ, N. B.; FAYEK, A. R. Risk Identification and Common Risks in Construction: Literature Review and Content Analysis. Journal of Construction engineering and management, v. 145, n.9, 03119004, 2019.
SRINIVAS, A.; MANIVANNAN. S. Preventing Collaborative Black Hole Attack in IoT Construction Using a CBHA–AODV Routing Protocol. International Journal of Grid and High Performance Computing, v. 12, 2020.
TANG, S. et al. A review of building information modeling (BIM) and the internet of things (IoT) devices integration: Present status and future trends. Automation in Construction, v. 101, p. 127 - 139, 2019.
TERROSO-SAENZ, F. et al. An open IoT platform for the management and analysis of energy data. Future Generation Computer Systems, v. 92, p. 1066 - 1079, 2019.
WAHBEH et al. Digital Twinning of the Built Environment - Na interdiscipline Topic for innovation in didactics. Remote Sensing and Spatial Information Sciences, v. 4, 2020.
YAN, W.; SAKAIRI, T. Geo CPS: Spatial challenges and opportunities for CPS in the geographic dimension. Journal of Urban Management, v. 8, n.3., p; 331-341, 2019.
YANG, Y.; PAN, M.; PAN, W. ‘Co-evolution through interaction’ of innovative building technologies: The case of modular integrated construction and robotics. Automation in Construction, v. 107, 2019.
ZABIELSKI, J.; SROKOSZ, P., Monitoring of Structural Safety of Buildings Using Wireless Network of MEMS Sensors. Journal Buildings, 2020.
ZHANG, F.; XUE, H.; ZHANG, J. Multi-source big data dynamic compressive sensing and optimization method for water resources based on IoT. Sustainable Computing: Informatics and Systems, v. 20, p. 210 - 219, 2018.
ZHONG, R. Y. et al. Prefabricated construction enabled by the Internet-of-Things. Automation in Construction, v. 76, p. 59 - 70, 2017.
ZHOU, C.; DING, L. Y. Safety barrier warning system for underground construction sites using Internet-of-Things technologies. Automation in Construction, v. 83, p. 372 - 389, 2017.
Publicado
Cómo citar
Número
Sección
Licencia
Derechos de autor 2021 SIMPÓSIO BRASILEIRO DE TECNOLOGIA DA INFORMAÇÃO E COMUNICAÇÃO NA CONSTRUÇÃO
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
Adota-se Atribuição 4.0 Internacional (CC BY 4.0). Ver detalhamento em https://creativecommons.org/licenses/by/4.0/deed.pt_BR
