Remote Sensing Technology in the Construction of Digital Twin Basins: Applications and Prospects

Liu, Guihua; Wu, Zhiyong

doi:10.3390/w15112040

Cited by 13 publications

(4 citation statements)

References 120 publications

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“…The top five most cited technologies and processes are BIM, cyber-physical systems, Internet of Things (IoT), automation, and robotics/industrial robots. Additionally, the five technologies and processes with the most publications and specific studies are BIM [43,44,[95][96][97][98][99][100][101][102][103][104][105][106][107][108], digital twins [21,92,[109][110][111][112][113][114], automation [19,20,76,[115][116][117][118], robotics [118][119][120][121][122][123][124], cybersecurity [41,42,[125][126][127][128], and Internet of Things (IoT) [75,[129][130]…”

Section: Synthesismentioning

confidence: 99%

“…Real-time data acquisition, processing, and sharing technologies can be used to create digital twins that allow the simulation of physical systems (e.g., buildings, bridges, dams, or infra-structure) for testing different scenarios, predicting risk situations, need for preventive maintenance, or improve performance [112][113][114]. The integration of sensing technologies, digital modeling, and networking into physical objects connecting them to the internet and to each other are named cyber-physical systems [23,25].…”

Section: Synthesismentioning

confidence: 99%

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Identifying Emerging Technologies and Skills Required for Construction 4.0

Souza,

Debs

2023

Buildings

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Connectivity, digitization, and emerging Industry 4.0 technology such as AI, automation, robotics, IoT, and cyber-physical space have transformed social relations, the means of production, and the world of labor. The construction industry has also been transformed by Industry 4.0 technologies, mainly through Building Information Modeling (BIM)-based digitization. This revolution in the construction industry has been called Construction 4.0 and is based on the use of innovative technologies that promote digitalization and automation of design, construction, and management processes. Furthermore, the workforce for the construction industry in the context of Construction 4.0 must have adequate skills for this new scenario. Previous literature reviews have analyzed the idea of transitioning the construction industry to Construction 4.0 and implementing specific technologies in the industry. However, there has been limited exploration of the skills necessary for the Construction 4.0 workforce. This article aims to address this gap by identifying the technologies and skills that have been scientifically researched and applied in the construction industry, specifically related to the concepts of Industry 4.0 and Construction 4.0. Utilizing a scoping literature review in the Scopus database, this study seeks to identify: (i) emergent C4.0 technologies in the AEC industry; and (ii) which skills or competencies are demanded when using these technologies. All of our bibliographical searches are inserted and restricted to the concept of Construction 4.0. A total of 108 articles related to technologies and 15 related to skills in the Construction 4.0 context were selected for analysis. Twenty-one technologies were identified and grouped into five sets according to their similarities and applications: AI-assisted technologies, Advanced manufacture, Smart tools, Digital simulation/Visualization, and Data acquisition/detection. The skills were identified and grouped into soft and hard skills. However, the findings point out that the new skills needed by the workforce are described in a dispersed way, without a central theme of research in the context of Construction 4.0. Our findings contribute to a better understanding of the transformations towards Construction 4.0 and provide data for industry and universities to respond appropriately to the new demands of the construction industry.

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Section: Synthesismentioning

confidence: 99%

Section: Synthesismentioning

confidence: 99%

Identifying Emerging Technologies and Skills Required for Construction 4.0

Souza,

Debs

2023

Buildings

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“…Digital twins can represent natural and built environments. They can help us observe and monitor changes in those environments in response to various alternative design and management decisions (Campbell and Wachal, 2021;Wu et al, 2023).…”

Section: Iv) Visualizationmentioning

confidence: 99%

Hydroinformatics: A review and future outlook

Loucks

2023

Camb. prisms Water

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Hydroinformatics is a technology that combines information and communications technologies together with various disciplinary optimization and simulation models that focus on the management of water. This paper reviews the historical development of hydroinformatics and summarizes the current state of this technology. It describes the range of modeling tools and applications currently described in hydroinformatics literature. The paper concludes with some speculations about possible future developments in hydroinformatics.

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“…There are many review studies on the different hydrological sub-areas in the literature, such as in Ecohydrology [9][10][11][12][13][14], Hydropower [15], Hydroinformatics [16][17][18][19][20][21][22][23][24][25], Gral Hydrology [26][27][28][29][30], Hydrology and Climate Change [31][32][33][34][35], Stochastic Hydrology [36][37][38][39], Forecasting and Uncertainty [40][41][42][43][44][45][46][47][48][49], Nival Hydrology [50][51][52][53], GIS Hydrology and Remote Sensing [54][55][56][57]…”

Section: Introductionmentioning

confidence: 99%

Toward Systematic Literature Reviews in Hydrological Sciences

De León Pérez,

Acosta Vega,

Salazar Galán

et al. 2024

Water

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Systematic literature reviews can provide an objective global overview of background research on hydrological questions. This study presents a methodology to ensure rigor, traceability, and replicability in evaluating state-of-the-art hydrological topics. The proposed methodology involved systematic, objective, and explicit steps. Strategies with defined selection criteria were used to search the relevant literature comprehensively and accurately on hydrological uncertainty as a case study. The most pertinent documents were filtered to build a critical state-of-the-art synthesis for evaluating their quality and relevance. This methodology allows systematic literature analysis to provide an objective summary of the evidence, with a structured procedure for state-of-the-art reviews, which promotes transparency in the search, unlike typical review papers that lack reproducible methodologies that may lead to obtaining a potentially subjective reference selection. Consequently, the proposed methodology improves reference reliability and study reproducibility while generalizing the methodology. This procedure has proven effective and practical for building state-of-the-art research in the study case (State-of-the-art Uncertainty in Hydrological forecasting from 2017 to 2023) and can be considered a relevant tool in hydrology and other STEM disciplines, providing a rigorous and transparent approach that enhances evidence quality and reliability.

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Remote Sensing Technology in the Construction of Digital Twin Basins: Applications and Prospects

Cited by 13 publications

References 120 publications

Identifying Emerging Technologies and Skills Required for Construction 4.0

Identifying Emerging Technologies and Skills Required for Construction 4.0

Hydroinformatics: A review and future outlook

Toward Systematic Literature Reviews in Hydrological Sciences

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