Dense Indoor Sensor Networks: Towards passively sensing human presence with LoRaWAN

Grübel, Jascha; Thrash, Tyler; Aguilar, Leonel; Gath-Morad, Michal; Helal, Didier; Sumner, Robert W.; Hölscher, Christoph; Schinazi, Victor R.

doi:10.1016/j.pmcj.2022.101640

Cited by 8 publications

(1 citation statement)

References 97 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(2) For building performance applications, Zhang et al [17] integrated heterogeneous data from different buildings into a CPS, whereas Lin and Cheung [18] established an environmental monitoring management system. (3) For building cost efficiency applications, Khajavi et al [19] established an office building façade DT based on more than 25,000 sensor reading instances, whereas Grübel et al [20] developed an indoor sensor network for building performance analysis. Abrol et al [21] showcased an economical and noninvasive energy-efficient approach.…”

Section: Trends and Analysismentioning

confidence: 99%

Digital Twin and Industry 4.0 Enablers in Building and Construction: A Survey

2022

View full text Add to dashboard Cite

With increasing interest in automatic and intelligent systems to enhance the building and construction industry, digital twins (DT) are gaining popularity as cost-effective solutions to meet stakeholder requirements. Comprising real-time multi-asset connectivity, simulation, and decision support functionalities, many recent studies have utilised Industry 4.0 technologies with DT systems to fulfil construction-specific applications. However, there is no comprehensive review to our knowledge, holistically examining the benefits of using DT as a platform from the angles of Industry 4.0 technologies, project management, and building lifecycle. To bridge this gap, a systematic literature review of 182 papers on DT-in-construction works over the past 6 years is conducted to address the three perspectives. In this review, a unified framework is first modelled to incorporate Industry 4.0 technologies within the DT structure. Next, a Six M methodology (comprising of Machine, Manpower, Material, Measurement, Milieu, and Method) based on Ishikawa’s Diagram with building lifecycle considerations is proposed to highlight the advantages of DT in ensuring successful construction projects. Lastly, through the identification of 11 future directions, this work aims to serve as a reference for both industry and academia towards the use of DT systems as a fundamental enabler to realise the Construction 4.0 paradigm.

show abstract