Equipment Distribution for Structural Stabilization and Civilian Rescue

Author(s):  
Albert Y. Chen ◽  
Feniosky Peña-Mora ◽  
Saumil J. Mehta ◽  
Stuart Foltz ◽  
Albert P. Plans ◽  
...  

The efficiency of Urban Search and Rescue operations depends on the supply of appropriate equipment and resources, and an efficient damage assessment facilitates deployment of these resources. This paper presents an Information Technology (IT) supported system for on-site data collection to communicate structural condition, track search and rescue status, and request and allocate appropriate resources. The system provides a unified interface for efficient gathering, storing, and sharing of building assessment information. Visualization and access of such information enable rescuers to respond to the disaster more efficiently with better situational awareness. The IT system also provides an interface for electronic resource requests to a geospatial resource repository service that enables a spatial disaster management environment for resource allocation. Request and deployment of critical resources through this system enables lifesaving efforts, with the appropriate equipment, operator, and materials, to become more efficient and effective. System development at the Illinois Fire Service Institute has shown promising results.

Author(s):  
Albert Y. Chen ◽  
Feniosky Peña-Mora ◽  
Saumil J. Mehta ◽  
Stuart Foltz ◽  
Albert P. Plans ◽  
...  

The efficiency of Urban Search and Rescue operations depends on the supply of appropriate equipment and resources, and an efficient damage assessment facilitates deployment of these resources. This paper presents an Information Technology (IT) supported system for on-site data collection to communicate structural condition, track search and rescue status, and request and allocate appropriate resources. The system provides a unified interface for efficient gathering, storing, and sharing of building assessment information. Visualization and access of such information enable rescuers to respond to the disaster more efficiently with better situational awareness. The IT system also provides an interface for electronic resource requests to a geospatial resource repository service that enables a spatial disaster management environment for resource allocation. Request and deployment of critical resources through this system enables lifesaving efforts, with the appropriate equipment, operator, and materials, to become more efficient and effective. System development at the Illinois Fire Service Institute has shown promising results.


2021 ◽  
Vol 19 (1) ◽  
pp. 33-38
Author(s):  
Ariel Braverman, BSc, RN, EMT-P

This paper’s purpose is to establish a methodological basis for using unmanned aerial vehicles (UAV) in urban search and rescue (USAR). Modern USAR operations involve the location, rescue (extrication), and initial medical stabilization of individuals trapped in confined spaces or places with complicated access, eg, high structures. As a part of the ongoing modernization process, this paper explores possible options for UAV utilization in USAR operations. Today, UAV are already taking part in support emergency operations all over the world, and possible forms of operation for UAV in USAR environment can be in two primary modes: on-site and logistic chain. The on-site mode includes various capabilities of multilayer UAV array, mostly based on enhanced visual capabilities to create situational awareness and to speed-up search and rescue (SAR) process including using nanodrones for entering into confined places, ventilation ducts, and underground sewer channels can give to rescue teams’ opportunities to have eyes within ruins even before initial clearing process. Cargo drones will be able to bring equipment directly to high floors or roadless areas in comparison to wheeled transportation. The advantages of cargo drones operation are the ability of autonomous flight based on GPS or homing beacon and ability to provide logistics supports without involving additional personnel and vehicles and with no dependence on road conditions.


2021 ◽  
Author(s):  
Vijay Somers

Urban Search and Rescue (USAR) environments present many risks to emergency first responders. Technologies that can allow people to explore dangerous locations in great detail while being physically separate from them are of great value. This thesis provides an intuitive 3D viewing application called Voidviz for just that purpose, with features specifically designed for USAR and bomb identification. It is tested using 3D data gathered by two devices: a computerized theodolite, and a custom built laser scanner. The theodolite was found to be impractical for scanning dangerous locations due to its low resolution and slow speed, but the custom laser scanner was able to gather high resolution data at a useful speed. This thesis shows that useful data can be derived from sufficiently detailed simulations of voids within building collapses and unexploded explosive devices. This data can be used to increase the situational awareness of first responders.


Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5223 ◽  
Author(s):  
Junjie Chen ◽  
Shuai Li ◽  
Donghai Liu ◽  
Xueping Li

Unmanned aerial vehicles (UAVs), equipped with a variety of sensors, are being used to provide actionable information to augment first responders’ situational awareness in disaster areas for urban search and rescue (SaR) operations. However, existing aerial robots are unable to sense the occluded spaces in collapsed structures, and voids buried in disaster rubble that may contain victims. In this study, we developed a framework, AiRobSim, to simulate an aerial robot to acquire both aboveground and underground information for post-disaster SaR. The integration of UAV, ground-penetrating radar (GPR), and other sensors, such as global navigation satellite system (GNSS), inertial measurement unit (IMU), and cameras, enables the aerial robot to provide a holistic view of the complex urban disaster areas. The robot-collected data can help locate critical spaces under the rubble to save trapped victims. The simulation framework can serve as a virtual training platform for novice users to control and operate the robot before actual deployment. Data streams provided by the platform, which include maneuver commands, robot states and environmental information, have potential to facilitate the understanding of the decision-making process in urban SaR and the training of future intelligent SaR robots.


2015 ◽  
Vol 107 ◽  
pp. 349-356 ◽  
Author(s):  
Aura Ganz ◽  
James M. Schafer ◽  
Jingyan Tang ◽  
Zhuorui Yang ◽  
Jun Yi ◽  
...  

2021 ◽  
Author(s):  
Vijay Somers

Urban Search and Rescue (USAR) environments present many risks to emergency first responders. Technologies that can allow people to explore dangerous locations in great detail while being physically separate from them are of great value. This thesis provides an intuitive 3D viewing application called Voidviz for just that purpose, with features specifically designed for USAR and bomb identification. It is tested using 3D data gathered by two devices: a computerized theodolite, and a custom built laser scanner. The theodolite was found to be impractical for scanning dangerous locations due to its low resolution and slow speed, but the custom laser scanner was able to gather high resolution data at a useful speed. This thesis shows that useful data can be derived from sufficiently detailed simulations of voids within building collapses and unexploded explosive devices. This data can be used to increase the situational awareness of first responders.


2021 ◽  
Author(s):  
Martin Gerdzhev

One of the most critical factors in urban search and rescue is time, as the chances of finding someone alive diminish with time. Emergency responders locate casualties, plan their rescue based on the available information, and then extract them. Measures are taken to do this as safely as possible as the harsh environment may lead to rescuers being injured. Our research demonstrates how emergency responders can obtain more information about the victim and the collapse faster, while potentially increasing their Situational Awareness (SA), and thus decreasing the time to rescue of the casualties. The system described is an enhanced version of Canine Augmentation Technology (CAT) -- a telepresence system for augmenting search canines. CAT integrates different technologies like wireless mesh networks, wearable computing, sensors, and software for recording, streaming, and scrubbing of video. The goal of our research is to reduce the time to rescue of victims by providing more relevant information to rescuers faster.


2021 ◽  
Author(s):  
Martin Gerdzhev

One of the most critical factors in urban search and rescue is time, as the chances of finding someone alive diminish with time. Emergency responders locate casualties, plan their rescue based on the available information, and then extract them. Measures are taken to do this as safely as possible as the harsh environment may lead to rescuers being injured. Our research demonstrates how emergency responders can obtain more information about the victim and the collapse faster, while potentially increasing their Situational Awareness (SA), and thus decreasing the time to rescue of the casualties. The system described is an enhanced version of Canine Augmentation Technology (CAT) -- a telepresence system for augmenting search canines. CAT integrates different technologies like wireless mesh networks, wearable computing, sensors, and software for recording, streaming, and scrubbing of video. The goal of our research is to reduce the time to rescue of victims by providing more relevant information to rescuers faster.


Author(s):  
Ruben Martin Garcia ◽  
Daniel Hernandez de la Iglesia ◽  
Juan F. de Paz ◽  
Valderi R. Q. Leithardt ◽  
Gabriel Villarrubia

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