A Virtual Reality Glovebox with Dynamic Safety Modeling for Improved Criticality Regulation Visualization

Embry, Kyle R.; Hengartner-Cuellar, Andrea; Ross, Hannah; Mascareñas, David

doi:10.1007/978-3-319-15212-7_2

Cited by 1 publication

(1 citation statement)

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“…However, since very few structures today have as-built records or information models, Brilakis et al, (2010) outlined a novel method for generating BIM models based on video data and laser scan models [ 22 ]. David Mascarenas at Los Alamos National Laboratory’s National Security Education Center has developed both virtual reality and augmented reality environments for specifically structural health monitoring [ 23 , 24 ]. Currently, David Lattanzi at George Mason University is working to create a method where a BIM model can be overlaid with LiDAR images of a structure over the course of its life cycle [ 17 ].…”

Section: Current Methodologies For Documentation and Communicationmentioning

confidence: 99%

Virtual Environments for Visualizing Structural Health Monitoring Sensor Networks, Data, and Metadata

Napolitano

Blyth

Glišić

2018

Sensors

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Visualization of sensor networks, data, and metadata is becoming one of the most pivotal aspects of the structural health monitoring (SHM) process. Without the ability to communicate efficiently and effectively between disparate groups working on a project, an SHM system can be underused, misunderstood, or even abandoned. For this reason, this work seeks to evaluate visualization techniques in the field, identify flaws in current practices, and devise a new method for visualizing and accessing SHM data and metadata in 3D. More precisely, the work presented here reflects a method and digital workflow for integrating SHM sensor networks, data, and metadata into a virtual reality environment by combining spherical imaging and informational modeling. Both intuitive and interactive, this method fosters communication on a project enabling diverse practitioners of SHM to efficiently consult and use the sensor networks, data, and metadata. The method is presented through its implementation on a case study, Streicker Bridge at Princeton University campus. To illustrate the efficiency of the new method, the time and data file size were compared to other potential methods used for visualizing and accessing SHM sensor networks, data, and metadata in 3D. Additionally, feedback from civil engineering students familiar with SHM is used for validation. Recommendations on how different groups working together on an SHM project can create SHM virtual environment and convey data to proper audiences, are also included.

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Section: Current Methodologies For Documentation and Communicationmentioning

confidence: 99%

Virtual Environments for Visualizing Structural Health Monitoring Sensor Networks, Data, and Metadata

Napolitano

Blyth

Glišić

2018

Sensors

View full text Add to dashboard Cite

show abstract

A Virtual Reality Glovebox with Dynamic Safety Modeling for Improved Criticality Regulation Visualization

Cited by 1 publication

References 5 publications

Virtual Environments for Visualizing Structural Health Monitoring Sensor Networks, Data, and Metadata

Virtual Environments for Visualizing Structural Health Monitoring Sensor Networks, Data, and Metadata

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