Internet das coisas para canteiros de obras e cadeia produtiva - rumo aos gêmeos digitais
DOI:
https://doi.org/10.46421/entac.v19i1.2089Palavras-chave:
Internet das Coisas, Gêmeos Digitais, Cadeia Produtiva, Bluetooth Low Energy (BLE), RFIDResumo
A indústria da construção tem grande importância na representatividade no PIB global e nos impactos socioambientais. Com os avanços na implementação de tecnologias digitais, visando o aumento de produtividade e eficiência de seus processos, diretrizes de implementação são necessárias. Essa pesquisa investiga os efeitos de aplicação da tecnologia de Internet das Coisas na fase de execução da obra. Através da metodologia de pesquisa-ação é apresentada uma dinâmica de aplicação e visão de evolução para um Gêmeo Digital, demonstrando impactos diretos e indiretos nos ganhos financeiros e otimização de recursos, envolvendo a cadeia produtiva.
Referências
AKANMU, A.; ANUMBA, C.; MESSNER, J. SCENARIOS FOR CYBER-PHYSICAL SYSTEMS INTEGRATION IN CONSTRUCTION. p. 21, [s.d.].
ARBULU, R.; KOERCKEL, A.; ESPANA, F. Linking Production-Level Workflow with Materials Supply. Em: 13TH ANNUAL CONFERENCE OF THE INTERNATIONAL GROUP FOR LEAN CONSTRUCTION. 2005. Disponível em: <https://www.iglc.net/papers/Details/365>. Acesso em: 5 jun. 2022
BOJE, C. et al. Towards a semantic Construction Digital Twin: Directions for future research. Automation in Construction, v. 114, p. 103179, 2020.
CASINI, M. Chapter 9 - Advanced site management tools and methods. Em: CASINI, M. (Ed.). Construction 4.0. Woodhead Publishing Series in Civil and Structural Engineering. [s.l.] Woodhead Publishing, 2022. p. 471–521.
DAVE, B. et al. Opportunities for enhanced lean construction management using Internet of Things standards. Automation in Construction, v. 61, p. 86–97, 2016.
FANG, Y.; CHO, Y. K.; CHEN, J. A framework for real-time pro-active safety assistance for mobile crane lifting operations. Automation in Construction, v. 72, p. 367–379, 2016.
HOU, L. et al. Literature Review of Digital Twins Applications in Construction Workforce Safety. Applied Sciences, v. 11, n. 1, p. 339, jan. 2021.
LEE, D.; LEE, S. Digital Twin for Supply Chain Coordination in Modular Construction. Applied Sciences, v. 11, n. 13, p. 5909, jan. 2021.
LI, C. T.; CHENG, J. C. P.; CHEN, K. Top 10 technologies for indoor positioning on construction sites. Automation in Construction, v. 118, p. 103309, 1 out. 2020.
McKinsey. Reinventing construction through a productivity revolution. McKinsey & Company (2017). (https://www.mckinsey.com/business-functions/operations/our-insights/reinventing-construction-through-a-productivity-revolution) Acesso em: 06 jun. 2022
McKinsey. The next normal in construction: How disruption is reshaping the world’s largest ecosystem, McKinsey & Company (2020).
OZORHON, B.; ORAL, K. Drivers of Innovation in Construction Projects. Journal of Construction Engineering and Management, v. 143, n. 4, p. 04016118, 1 abr. 2017.
PAN, Y.; ZHANG, L. A BIM-data mining integrated digital twin framework for advanced project management. Automation in Construction, v. 124, p. 103564, 2021.
PARK, J.; KIM, K.; CHO, Y. K. Framework of Automated Construction-Safety Monitoring Using Cloud-Enabled BIM and BLE Mobile Tracking Sensors. Journal of Construction Engineering and Management, v. 143, n. 2, p. 05016019, fev. 2017.
Pieter van Schalkwyk (XMPro). Digital Twin Capabilities Periodic Table. Digital Twin Consortium (2022).
SHIN, T.-H. et al. A service-oriented integrated information framework for RFID/WSN-based intelligent construction supply chain management. Automation in Construction, Selected papers from the 26th ISARC 2009. v. 20, n. 6, p. 706–715, 1 out. 2011.
TEIZER, J. et al. Construction resource efficiency improvement by Long Range Wide Area Network tracking and monitoring. Automation in Construction, v. 116, p. 103245, 2020.
TRIPP, D. Action research: a methodological introduction. p. 21, (2005).
ZHAO, J. et al. Real-time resource tracking for analyzing value-adding time in construction. Automation in Construction, v. 104, p. 52–65, 1 ago. 2019.
ZHAO, L. et al. Digital-Twin-Based Evaluation of Nearly Zero-Energy Building for Existing Buildings Based on Scan-to-BIM. ADVANCES IN CIVIL ENGINEERING, v. 2021, 9 abr. 2021