Increasing Understanding for Weather Emergencies and Enhancing Safety of Different Communities using Wireless Smart Sensors and Human-Environment-Data Interfaces using Augmented Reality (AR)

Moreu, Fernando; Zhang, Su; Malek, Kaveh; Mohammadkhorasani, Ali; Sanei, Mahsa; Miranda, Piedad 0009-0006-8591-0856

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Increasing Understanding for Weather Emergencies and Enhancing Safety of Different Communities using Wireless Smart Sensors and Human-Environment-Data Interfaces using Augmented Reality (AR)

2025-01-27
By Moreu, Fernando ; Zhang, Su ; Malek, Kaveh ; ...

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English

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Creators:

Moreu, Fernando ; Zhang, Su ; Malek, Kaveh ; Mohammadkhorasani, Ali ; Sanei, Mahsa ; Miranda, Piedad 0009-0006-8591-0856
Corporate Creators:

University of New Mexico, Albuquerque. Department of Civil Engineering
Corporate Contributors:

The Southern Plains Transportation Center (SPTC) Region 6 University Transportation Center (UTC) ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:

Data Collection Decision Making Floods Interfaces Rainfall Rural Areas Virtual Reality Wildfires Wireless Sensors
Publication/ Report Number:

CY1-UNM-01
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report (October 2023 – January 2025)
Corporate Publisher:

The Southern Plains Transportation Center (SPTC) Region 6 University Transportation Center (UTC)
Abstract:

This project developed a cost-effective, scalable system integrating Low-cost Efficient Wireless Intelligent Sensors (LEWIS) and augmented reality (AR) to improve disaster preparedness and weather/condition monitoring in different communities. The system was designed to measure rainfall and flooding during significant post-wildfire flood events and provide early alerts to enhance safety and decision-making. Deployed by the Smart Management of Infrastructure Laboratory (SMILab) at the University of New Mexico and validated with High Water Mark LLC, the LEWIS sensors were portable, energy-efficient, and capable of transmitting real-time data via hotspots. They featured solar power with sleep mode functionality, reducing energy consumption by 70%, and were robustly tested in indoor simulations and outdoor deployments in flood-prone areas like Sandia East Mountains and Tinker Town, New Mexico. The project also integrated AR visualization, enabling immersive, real-time displays of rainfall and flood conditions, which were tested and refined through workshops with experts and emergency managers. Community feedback influenced the design of key AR features, such as customizable thresholds, color-coded flooding indicators, and enhanced user interfaces tailored for various settings. The AR platform supported training scenarios and improved decision-making by simulating weather/condition hazards in a risk-free, interactive scenario. This research demonstrated the transformative potential of integrating low-cost sensors with AR technology to enhance disaster preparedness, promote resilience, and address critical challenges in monitoring and emergency response for different communities.
Format:

PDF
Funding:

69A3552348306
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:fa53c4320bbf174de58c5f918443b0045f7c13478256d16dfb0013a8720d62e5a9ac8abf5269f35643284aa48519b585ce77ec7442f45c22f6c9af368241f0c4
Download URL:

https://rosap.ntl.bts.gov/view/dot/88301/dot_88301_DS1.pdf
File Type:

[PDF - 9.47 MB ]

File Language:

English

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