Smart Emergency Response System - SERS: Difference between revisions
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{{ActionCluster | {{ActionCluster | ||
|image=Tarrant.jpeg | |||
| | |team=University of Texas at Arlington, University of North Texas, Denton Fire Department, Denton municipal Electric, Emergency Pre-paredness Department of the North Central Texas Council of Governments, Tarrant County Fire Service Training Center, Austin Fire Department | ||
|leader=Yan Wan, Shengli Fu | |||
| team | |imagecaption=Emergency Response Tarrant | ||
|municipalities=Tarrant TX, Denton TX, Austin TX | |||
| leader | |status=Launched | ||
|website=http://smartamerica.org/teams/smart-emergency-response-system-sers/ | |||
|download=SERS FactualBlog.pdf | |||
|description=The success of emergency response operations critically relies on the efficiency of emergency communication infrastructure. This project aims to mature and test the drone-carried on-demand broadband communication infrastructure for emergency use and quantify its benefit compared with existing on-demand emergency communication technologies. | |||
| imagecaption | |challenges=Practical provision of on-demand drone-carried robust long-distance WiFi communication infrastructure | ||
| municipalities | |solutions=Acceleration of technology transfer through close collaboration with Emergency Preparedness Departments in Texas | ||
|requirements=* Mature the prototype drone WiFi system to improve the robust long-distance drone-to-drone communication. | |||
| status | |||
| website | |||
| download | |||
| description | |||
The success of emergency response operations critically relies on the efficiency of emergency communication infrastructure. This project aims to mature and test the drone-carried on-demand broadband communication infrastructure for emergency use and quantify its benefit compared with existing on-demand emergency communication technologies. | |||
| challenges | |||
Practical provision of on-demand drone-carried robust long-distance WiFi communication infrastructure | |||
| solutions | |||
Acceleration of technology transfer through close collaboration with Emergency Preparedness Departments in Texas | |||
| requirements | |||
* Mature the prototype drone WiFi system to improve the robust long-distance drone-to-drone communication. | |||
* Plan emergency testing scenarios through close collaboration with first responders, coordinators and directors. | * Plan emergency testing scenarios through close collaboration with first responders, coordinators and directors. | ||
* Deploy and test at multiple emergency exercises, including | * Deploy and test at multiple emergency exercises, including | ||
Line 33: | Line 17: | ||
# controlled wildfire exercise at the Denton County in June, and | # controlled wildfire exercise at the Denton County in June, and | ||
# multi-city disaster drill in the Dallas-Fort Worth area in November. | # multi-city disaster drill in the Dallas-Fort Worth area in November. | ||
* Quantitatively analyze the performance improvement for emergency communication using the drone-carried system. | * Quantitatively analyze the performance improvement for emergency communication using the drone-carried system. | ||
|kpi=The performance improvements include but not limit to the following: | |||
| kpi | |||
The performance improvements include but not limit to the following: | |||
* Reduce the search-and-rescue time by 30% | * Reduce the search-and-rescue time by 30% | ||
* Reduce the cost of search and monitoring by 50% | * Reduce the cost of search and monitoring by 50% | ||
|measurement=The performance impact is measured through multiple emergency exercises. | |||
| measurement | |standards=* The project provides case studies on quantifying the performance of a variety of on-demand emergency communication technologies. | ||
The performance impact is measured through multiple emergency exercises. | * The project involves testing in multiple emergency exercises at a variety of scales, and is expected to provide insights on the replicability, scalability, and sustainability of the drone-carried communication infrastructure being developed. | ||
|cybersecurity=TBD | |||
| standards | |impacts=* Save lives: Reduced emergency response time, real-time information sharing; reduced risk; optimized resource planning | ||
* The project provides case studies on quantifying the performance of a variety of on-demand emergency communication technologies. | |||
* The project involves testing in multiple emergency exercises at a variety of scales, and is expected to provide insights on the replicability, scalability, and sustainability of the drone-carried communication infrastructure being developed. | |||
| cybersecurity | |||
| impacts | |||
* Save lives: Reduced emergency response time, real-time information sharing; reduced risk; optimized resource planning | |||
* Job creation: public service experts; robot operators; drone operators; usability experts | * Job creation: public service experts; robot operators; drone operators; usability experts | ||
* New businesses: On-demand network service; multi-drone applications | * New businesses: On-demand network service; multi-drone applications | ||
* Economic Growth: Service time reduction; safe air transportation; decrease in maintenance expenses | * Economic Growth: Service time reduction; safe air transportation; decrease in maintenance expenses | ||
|demonstration=* Phase I Pilot/Demonstration: | |||
| demonstration | |||
* Phase I Pilot/Demonstration: | |||
# Demonstration made with the Discovery Channel Canada on three emergency scenarios: rescue on flooding water, car accident, and wildfire | # Demonstration made with the Discovery Channel Canada on three emergency scenarios: rescue on flooding water, car accident, and wildfire | ||
# Demonstration with the Denton City Fire Department through participating in the full city tornado exercise in May 2016 | # Demonstration with the Denton City Fire Department through participating in the full city tornado exercise in May 2016 | ||
Line 67: | Line 37: | ||
# Demonstration in the controlled wildfire exercise at the Denton County | # Demonstration in the controlled wildfire exercise at the Denton County | ||
# Demonstration through participating in the multi-city disaster drill in the Dallas-Fort Worth area | # Demonstration through participating in the multi-city disaster drill in the Dallas-Fort Worth area | ||
|chapter=Emergency Support Functions | |||
|supercluster=Public Safety | |||
| supercluster | |year=2014, 2015, 2016, 2017 | ||
| year | |title=Smart Emergency Response System (SERS) | ||
}} | }} | ||
Latest revision as of 05:39, January 25, 2023
Smart Emergency Response System - SERS | |
---|---|
Emergency Response Tarrant | |
Team Organizations | University of Texas at Arlington University of North Texas Denton Fire Department Denton municipal Electric Emergency Pre-paredness Department of the North Central Texas Council of Governments Tarrant County Fire Service Training Center Austin Fire Department |
Team Leaders | Yan Wan Shengli Fu |
Participating Municipalities | Tarrant TX Denton TX Austin TX |
Status | Launched |
Document |
Description
The success of emergency response operations critically relies on the efficiency of emergency communication infrastructure. This project aims to mature and test the drone-carried on-demand broadband communication infrastructure for emergency use and quantify its benefit compared with existing on-demand emergency communication technologies.
Challenges
Practical provision of on-demand drone-carried robust long-distance WiFi communication infrastructure
Solutions
Acceleration of technology transfer through close collaboration with Emergency Preparedness Departments in Texas
Major Requirements
- Mature the prototype drone WiFi system to improve the robust long-distance drone-to-drone communication.
- Plan emergency testing scenarios through close collaboration with first responders, coordinators and directors.
- Deploy and test at multiple emergency exercises, including
- full-city tornado exercise at the Denton City in May,
- controlled wildfire exercise at the Denton County in June, and
- multi-city disaster drill in the Dallas-Fort Worth area in November.
- Quantitatively analyze the performance improvement for emergency communication using the drone-carried system.
Performance Targets
Key Performance Indicators (KPIs) | Measurement Methods |
---|---|
The performance improvements include but not limit to the following:
|
The performance impact is measured through multiple emergency exercises. |
Standards, Replicability, Scalability, and Sustainability
- The project provides case studies on quantifying the performance of a variety of on-demand emergency communication technologies.
- The project involves testing in multiple emergency exercises at a variety of scales, and is expected to provide insights on the replicability, scalability, and sustainability of the drone-carried communication infrastructure being developed.
Cybersecurity and Privacy
TBD
Impacts
- Save lives: Reduced emergency response time, real-time information sharing; reduced risk; optimized resource planning
- Job creation: public service experts; robot operators; drone operators; usability experts
- New businesses: On-demand network service; multi-drone applications
- Economic Growth: Service time reduction; safe air transportation; decrease in maintenance expenses
Demonstration/Deployment
- Phase I Pilot/Demonstration:
- Demonstration made with the Discovery Channel Canada on three emergency scenarios: rescue on flooding water, car accident, and wildfire
- Demonstration with the Denton City Fire Department through participating in the full city tornado exercise in May 2016
- Phase II Deployment:
- Demonstration in the controlled wildfire exercise at the Denton County
- Demonstration through participating in the multi-city disaster drill in the Dallas-Fort Worth area