scholarly journals Building Information Modelling (BIM) and the Internet-of-Things (IoT): A Systematic Mapping Study

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 155171-155183 ◽  
Author(s):  
Baydaa Hashim Mohammed ◽  
Nurhizam Safie ◽  
Hasimi Sallehuddin ◽  
Afifuddin Husairi Bin Hussain
2021 ◽  
Author(s):  
Thalia S. Santana ◽  
Iwens G. Sene Júnior ◽  
Renato F. Bulcão-Neto

The macroprogramming concept relates to the ability to abstract low-level details from a variety of devices. In this sense, programming solutions for the Internet of Things (IoT) with macroprogramming can be an alternative to the challenges of volume and heterogeneity. This paper describes a systematic mapping on macroprogramming in IoT and wireless sensor networks from 2004 to 2020. As a result, we verify the recurrence of abstractions in the network infrastructure, highlighting the use of frameworks in one-third of the applications, contributing to provide an overview of the use of macroprogramming by researchers in different areas of knowledge.


2016 ◽  
Vol 89-90 ◽  
pp. 17-33 ◽  
Author(s):  
Everton Cavalcante ◽  
Jorge Pereira ◽  
Marcelo Pitanga Alves ◽  
Pedro Maia ◽  
Roniceli Moura ◽  
...  

2021 ◽  
pp. 2141007
Author(s):  
Mengyi Lian ◽  
Xiaowei Liu

Building information modeling (BIM) is one of the most exciting recent construction, engineering, and architecture developments. Built environments play a significant role in Smart City worldwide, and they are used to convey useful information to achieve smart city strategic goals. In modern project management, optimizing resources, BIM data integration, and data sharing in a smart city environment is challenging. Hence, in this paper, IoT-based Improved Building Information modeling (IoT-IBIM) has been proposed to overcome the challenges in building information modeling in modern project management for sustainable smart city applications. This paper discusses the efforts to create and integrate built-in environment data with IoT sensors for effective communication. The Internet of Things provides efficient resource control, increased efficiency, and improved human quality of life. As a result, the Internet of Things is a critical enabler of smart societies, including smart homes, smart cities, and smart factories. Building Information Modeling is an advanced asset allocation framework that generates high-quality output, reduces resource use, reduces environmental effects of development, and secures resources and availability for future generations. The experimental results show that the proposed IoT-IBIM method enhances the performance ratio and improves data integration and data sharing in a smart city environment.


2021 ◽  
Author(s):  
Newton Carlos Will ◽  
Dalton Cezane Gomes Valadares ◽  
Danilo Freire De Souza Santos ◽  
Angelo Perkusich

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