Grand Challenges in Data and Information Visualization for the Architecture, Engineering, Construction, and Facility Management Industries

Golparvar-Fard, Mani; Tang, Pingbo; Cho, Yong; Siddiqui, Mohsin

doi:10.1061/9780784413029.106

Cited by 10 publications

(8 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Meanwhile, another approach augmented traditional Gantt charts and network diagrams with annotations and highlights [36]. More recent surveys indicated emerging challenges related to visual analysis and exploration of large datasets [37], [38].…”

Section: Bim Visualizationsmentioning

confidence: 99%

A Systematic Review of Visualization in Building Information Modeling

Ivson

Moreira

Queiroz

et al. 2020

IEEE Trans. Visual. Comput. Graphics

View full text Add to dashboard Cite

Building Information Modeling (BIM) employs data-rich 3D CAD models for large-scale facility design, construction, and operation. These complex datasets contain a large amount and variety of information, ranging from design specifications to real-time sensor data. They are used by architects and engineers for various analysis and simulations throughout a facility's life cycle. Many techniques from different visualization fields could be used to analyze these data. However, the BIM domain still remains largely unexplored by the visualization community. The goal of this article is to encourage visualization researchers to increase their involvement with BIM. To this end, we present the results of a systematic review of visualization in current BIM practice. We use a novel taxonomy to identify main application areas and analyze commonly employed techniques. From this domain characterization, we highlight future research opportunities brought forth by the unique features of BIM. For instance, exploring the synergies between scientific and information visualization to integrate spatial and non-spatial data. We hope this article raises awareness to interesting new challenges the BIM domain brings to the visualization community.

show abstract

Section: Bim Visualizationsmentioning

confidence: 99%

A Systematic Review of Visualization in Building Information Modeling

Ivson

Moreira

Queiroz

et al. 2020

IEEE Trans. Visual. Comput. Graphics

View full text Add to dashboard Cite

show abstract

“…Next, committee members were divided into three focus groups including visualization, information modeling, and simulation, by the area of their interests. Three groups then grouped and sorted the list of identified VIMS grand challenges by culminating with 17 grand challenges for each of the three knowledge areas (i.e., six for visualization, five for information modeling, and six for simulation), as given in Table 1 ( Golparvar-Fard et al 2013;Leite et al 2013;Lee et al 2013). Each of the aforementioned challenges will be discussed in the "Grand Challenges" section.…”

Section: Identification Of Vims Grand Challengesmentioning

confidence: 99%

“…In contrast, schedulers and procurement managers need to know the quantitative construction work progress, such as the quantity of materials in stock, to make decisions about scheduling and procurement. Golparvar-Fard et al (2013) identified four current challenges in visualization output format and medium, including (1) managing 3D BIM on interoperable protocols to support queries in multiple/individual (2) visualizing semantic models using web-based interfaces accessible on mobile devices; (3) enabling multiple-use real-time environments in which users can combine partial BIMs, linking BIM to GIS, and sharing with cloud-based tools; and (4) identifying quantitative methods to measure the efficiency of visualization. Addressing these challenges through the collaboration of academia and industry with shared perspectives will help in understanding the most suitable format and medium for each discipline.…”

Section: Output Formats and Mediums Suited For Constructionmentioning

confidence: 99%

Visualization, Information Modeling, and Simulation: Grand Challenges in the Construction Industry

Leite

Cho

Behzadan

et al. 2016

J. Comput. Civ. Eng.

116

View full text Add to dashboard Cite

With the rapid advancement of sensing and computing technology and the wide adoption of mobile computing, the construction industry has faced a rise in the amount of information and data generated during the lifecycle of the construction project. To deal with a large variety of project data and information to support efficient and effective decision making, visualization, information modeling, and simulation (VIMS) has become critical in the development of capital facilities and infrastructures. The objective of this paper is to identify and investigate grand challenges in VIMS for the construction industry, to assist the academic and industry communities in establishing a future research agenda to solve VIMS challenges. In particular, 17 VIMS grand challenges were identified by an expert task force in the VIMS committee of the ASCE Computing and Information Technology Division, and then VIMS experts in the civil and construction areas from both academia and industry participated in a survey to assess the identified challenges, examine the relative importance of the identified challenges, and investigate current practices and future directions of VIMS. The survey results indicate that several knowledge gaps regarding VIMS challenges between academia and industry still exist, and it is the contention of this research that these particular gaps need to be addressed in future research. These research directions apply to technical issues and sociological/cultural/organizational issues in VIMS challenges. The major contribution of this paper is its claim that the provision of shared views on VIMS challenges lays a firm foundation in which collaborative actions between academia and industry can take place, which will, in turn, advance VIMS for the construction industry. By incorporating the whole project lifecycle, not only project execution but also planning, operation, and maintenance, the analysis provides meaningful hints for VIMS challenges in architecture, engineering, and facility management industries.

show abstract

“…According to the results of current studies conducted by Golparvar-Fard et al (2013) and Becerik-Gerber et al (2013), monitoring the health of infrastructure is one of the most imposing challenges faced by civil engineers in the 21 st century. Lack of viable methods to map and label existing built infrastructure is an important component of this challenge.…”

Section: Introductionmentioning

confidence: 99%

Generating Absolute-Scale Point Cloud Data of Built Infrastructure Scenes Using a Monocular Camera Setting

Rashidi

Brilakis

Vela

2015

J. Comput. Civ. Eng.

View full text Add to dashboard Cite

The global scale of Point Cloud Data (PCD) generated through monocular photo/videogrammetry is unknown, and can be calculated using at least one known dimension of the scene. Measuring one or more dimensions for this purpose induces a manual step in the 3D reconstruction process; this increases the effort and reduces the speed of reconstructing scenes, and induces substantial human error in the process due to the high level of measurement accuracy needed. Other ways of measuring such dimensions are based on acquiring additional information by either using extra sensors or specific classes of objects existing in the scene; we found that these solutions are not simple, cost effective or general enough to be considered practical for reconstructing both indoor and outdoor built infrastructure scenes. To address the issue, in this paper, we propose a novel method for automatically calculating the absolute scale of built infrastructure PCD. We use a premeasured cube for outdoor scenes and a sheet of paper for indoor environments as the calibration patterns. Assuming that the dimensions of these objects are known, the proposed method extracts the objects' corner points in 2D video frames using a novel algorithm. The

show abstract

Grand Challenges in Data and Information Visualization for the Architecture, Engineering, Construction, and Facility Management Industries

Cited by 10 publications

References 16 publications

A Systematic Review of Visualization in Building Information Modeling

A Systematic Review of Visualization in Building Information Modeling

Visualization, Information Modeling, and Simulation: Grand Challenges in the Construction Industry

Generating Absolute-Scale Point Cloud Data of Built Infrastructure Scenes Using a Monocular Camera Setting

Contact Info

Product

Resources

About