HelpResponder—System for the Security of First Responder Interventions
Firefighter’s interventions under dense smoke and flames are hazardous and ideally need an efficient in-advance geo-located actuation plan. The existing communication and sensing technologies should be customized, optimized, and integrated to better know the conditions (flame locations, air conditio...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-04-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/8/2614 |
| _version_ | 1797538432995557376 |
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| author | M. Cristina Rodriguez-Sanchez Luis Fernández-Jiménez Antonio R. Jiménez Joaquin Vaquero Susana Borromeo Jose L. Lázaro-Galilea |
| author_facet | M. Cristina Rodriguez-Sanchez Luis Fernández-Jiménez Antonio R. Jiménez Joaquin Vaquero Susana Borromeo Jose L. Lázaro-Galilea |
| author_sort | M. Cristina Rodriguez-Sanchez |
| collection | DOAJ |
| description | Firefighter’s interventions under dense smoke and flames are hazardous and ideally need an efficient in-advance geo-located actuation plan. The existing communication and sensing technologies should be customized, optimized, and integrated to better know the conditions (flame locations, air condition) before and during the rescue team’s interventions. In this paper, we propose a firefighter intervention architecture, which consists of several sensing devices (flame detectors, carbon dioxide air content) a navigation platform (an autonomous ground wheeled robot), and a communication/localization network (BLE IoT network) that can be used before and during an intervention in rescue or fire extinguishing missions even for indoor or confined spaces. The paper’s key novelty presents our integrated solution, giving some key implementation details and an intensive experimentation campaign in two real firefighter scenarios with real controlled fires. Results carried out in these real indoor scenarios are presented to demonstrate the feasibility of the system. A fire detection system is proposed to improve fire focus in real time and moving in confined spaces with no visibility and physical references. The results obtained in the experimentation show the proposal’s effectiveness in locating the fire focus’s position and orientation reducing time and risk exposure. This kind of location-aware fire integrated systems would significantly impact the speed and security of first responder interventions. |
| first_indexed | 2024-03-10T12:30:24Z |
| format | Article |
| id | doaj.art-e98ea631483c47b8a91103768d0e6013 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T12:30:24Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-e98ea631483c47b8a91103768d0e60132023-11-21T14:42:03ZengMDPI AGSensors1424-82202021-04-01218261410.3390/s21082614HelpResponder—System for the Security of First Responder InterventionsM. Cristina Rodriguez-Sanchez0Luis Fernández-Jiménez1Antonio R. Jiménez2Joaquin Vaquero3Susana Borromeo4Jose L. Lázaro-Galilea5Electronics Department, Rey Juan Carlos University, 28933 Madrid, SpainElectronics Department, Rey Juan Carlos University, 28933 Madrid, SpainCenter for Automation and Robotics (CAR) CSIC-UPM, E-28036 Madrid, SpainElectronics Department, Rey Juan Carlos University, 28933 Madrid, SpainElectronics Department, Rey Juan Carlos University, 28933 Madrid, SpainElectronics Department, Alcalá University, 28801 Madrid, SpainFirefighter’s interventions under dense smoke and flames are hazardous and ideally need an efficient in-advance geo-located actuation plan. The existing communication and sensing technologies should be customized, optimized, and integrated to better know the conditions (flame locations, air condition) before and during the rescue team’s interventions. In this paper, we propose a firefighter intervention architecture, which consists of several sensing devices (flame detectors, carbon dioxide air content) a navigation platform (an autonomous ground wheeled robot), and a communication/localization network (BLE IoT network) that can be used before and during an intervention in rescue or fire extinguishing missions even for indoor or confined spaces. The paper’s key novelty presents our integrated solution, giving some key implementation details and an intensive experimentation campaign in two real firefighter scenarios with real controlled fires. Results carried out in these real indoor scenarios are presented to demonstrate the feasibility of the system. A fire detection system is proposed to improve fire focus in real time and moving in confined spaces with no visibility and physical references. The results obtained in the experimentation show the proposal’s effectiveness in locating the fire focus’s position and orientation reducing time and risk exposure. This kind of location-aware fire integrated systems would significantly impact the speed and security of first responder interventions.https://www.mdpi.com/1424-8220/21/8/2614real-time interventionsremote monitoringindoor locationflame detectionvideo processingInternet of Things |
| spellingShingle | M. Cristina Rodriguez-Sanchez Luis Fernández-Jiménez Antonio R. Jiménez Joaquin Vaquero Susana Borromeo Jose L. Lázaro-Galilea HelpResponder—System for the Security of First Responder Interventions Sensors real-time interventions remote monitoring indoor location flame detection video processing Internet of Things |
| title | HelpResponder—System for the Security of First Responder Interventions |
| title_full | HelpResponder—System for the Security of First Responder Interventions |
| title_fullStr | HelpResponder—System for the Security of First Responder Interventions |
| title_full_unstemmed | HelpResponder—System for the Security of First Responder Interventions |
| title_short | HelpResponder—System for the Security of First Responder Interventions |
| title_sort | helpresponder system for the security of first responder interventions |
| topic | real-time interventions remote monitoring indoor location flame detection video processing Internet of Things |
| url | https://www.mdpi.com/1424-8220/21/8/2614 |
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