SmartSite: Intelligent and autonomous environments, machinery, and processes to realize smart road construction projects

Kuenzel, Robin; Teizer, Jochen; Mueller, Marcus; Blickle, Alexander

doi:10.1016/j.autcon.2016.03.012

Cited by 73 publications

(32 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The utilization of BIM across the projects' life cycle point towards a common notion that to get maximum benefit from BIM it is important to use it from inception to completion and that the technologies revolutionize traditional project decision-making by enabling whole-life consideration. Application of advanced information and communication technologies and artificial intelligence supported systems cuts across the entire spectrum of project cycles, improving collaboration, design development, and boosting productivity (Yau & Yang, 1998;Kumaraswamy et al, 2004;Kuenzel et al, 2016).…”

Section: Whole-building Whole-of-life (Wbwol) Decision Makingmentioning

confidence: 99%

Review of digital technologies to improve productivity of New Zealand construction industry

Chowdhury¹,

Adafin²,

Wilkinson³

2019

ITcon

View full text Add to dashboard Cite

The New Zealand construction industry continues to face pressures to improve productivity and lower construction costs. With the need to build more houses and infrastructure, quicker, to high quality and on time, there is a need to upscale the use of advanced technologies. Going digital is a solution that can transform the construction industry by improving productivity measures. The objectives of this paper are to: 1 Identify the availability of transformative technologies and their potential impact on productivity improvement across the construction life cycle and, 2. To investigate the benefits and barriers to technology-uptake in New Zealand construction. This paper is a review of digital technologies which analyzes their impact on productivity across the construction life cycle. As a basis for analysis, the digital technologies are isolated into three key productivity improvement functions: (1) Ubiquitous Digital Access, (2) Whole Building Whole-of-Life (WBWOL) decision making, and (3) Cost Reduction Engineering. This study is a literature-based theoretical exploration, aimed at signifying digitization as a function of productivity performance in the New Zealand construction industry. From a practical perspective, clients and contractors may be convinced to invest in digital technologies, increasing or accelerating uptake and more fully realizing the benefits digital technologies could add to productivity performance, growth and long-term success. This study may provide useful information for researchers regarding the development of case studies by analyzing organizations that implement technological innovations, their successful actions/processes, barriers overcoming actions, and sources of new ideas.

show abstract

Section: Whole-building Whole-of-life (Wbwol) Decision Makingmentioning

confidence: 99%

Review of digital technologies to improve productivity of New Zealand construction industry

Chowdhury¹,

Adafin²,

Wilkinson³

2019

ITcon

View full text Add to dashboard Cite

show abstract

“…In the construction operation and monitoring domain, the integration of BIM and IoT datasets provides new opportunities to integrate real-time datasets such as environmental data and localization data to support management and operations of construction activities. Since incorporating data sourced from IoT sensors into BIM models can facilitate real-time exchange and communication of data, monitoring construction activities would benefit from this in several aspects including on-site monitoring of the construction environment [26], monitoring of resources and labor behaviors [27], real-time communication and collaboration [28], and monitoring progress and performance of construction activities [29,30].…”

Section: Review Of Relevant Literaturementioning

confidence: 99%

Utilizing a Building Information Modelling Environment to Communicate the Legal Ownership of Internet of Things-Generated Data in Multi-Owned Buildings

et al. 2019

View full text Add to dashboard Cite

In multi-owned buildings, a community of residents live in their private properties while they use and share communal spaces and facilities. Proper management of multi-owned buildings is underpinned by rules related to health, safety, and security of the residents and visitors. Utilizing Internet of Things (IoT) devices to collect information about the livable space has become a significant trend since the introduction of first smart home appliances back in 2000. The question about who owns the IoT generated data and under what terms it can be shared with others is still unclear. IoT devices, such as security camera and occupancy sensors, can provide safety for their owners, while these devices may capture private data from the neighborhood. In fact, the residents are sometimes not aware of regulations that can prevent them from installing and collecting data from shared spaces that could breach other individuals’ privacy. On the other hand, Building Information Modelling (BIM) provides a rich 3D digital data environment to manage the physical, functional, and ownership aspects of buildings over their entire lifecycle. This study aims to propose a methodology to utilize BIM for defining the legal ownership of the IoT generated data. A case study has been used to discuss key challenges related to the ownership of IoT data in a multi-owned building. This study confirmed that BIM environment can facilitate the understanding of legal ownership of IoT datasets and supports the interpretation of who has the entitlement to use the IoT datasets in multi-owned buildings.

show abstract

“…Design concepts for future tandem rollers envisage machines without a cabin, where a fleet of robots which mimic a manned master machine is operated by a single human [7]. The SmartSite project targets real-time path-planning of multiagent compactors systems [8]. Next to improvements to the overall logistic chain, a focus is directed to sensor data exchange and adaptation to environmental changes.…”

Section: Related Workmentioning

confidence: 99%

Distributed Coordination and Task Assignment of Autonomous Tandem Rollers in Road Construction Scenarios

Wolf¹,

Ropertz²,

Matheis³

et al. 2019

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

View full text Add to dashboard Cite

Automation in construction is a highly active field of research with promising prospects for more efficient construction processes. This paper presents a novel behavior-based approach for distributed coordination of autonomous tandem rollers. Hereby, a detailed road representation and concepts for tandem roller and paver interaction as well as distributed task assignment are presented. The concept has been tested in a simulated road construction environment on the virtual B10 highway, Germany and compared to real construction data.

show abstract

SmartSite: Intelligent and autonomous environments, machinery, and processes to realize smart road construction projects

Cited by 73 publications

References 21 publications

Review of digital technologies to improve productivity of New Zealand construction industry

Review of digital technologies to improve productivity of New Zealand construction industry

Utilizing a Building Information Modelling Environment to Communicate the Legal Ownership of Internet of Things-Generated Data in Multi-Owned Buildings

Distributed Coordination and Task Assignment of Autonomous Tandem Rollers in Road Construction Scenarios

Contact Info

Product

Resources

About