FireNose on Mobile Robot in Harsh Environments

Xing, Yanpeng; Vincent, Timothy A.; Fan, Han; Schaffernicht, Erik; Bennetts, Victor Hernandez; Lilienthal, Achim J.; Cole, Marina; Gardner, Julian W.

doi:10.1109/jsen.2019.2939039

Cited by 23 publications

(12 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Semiconducting metal oxide gas sensors can be used to construct multi-sensor units (marketed as a FireNose) to discover and discriminate between known and unknown gases in harsh and uncontrolled conditions [ 187 ] or mobile (rescue) robots for gas leak detection and localization [ 188 ], as well as toxic smoke real-time mapping which could serve as an aid to firefighter brigades and teams. The field of mobile robotic olfaction customarily considers gas source localization and gas distribution mapping as two of its main tasks.…”

Section: Applicationmentioning

confidence: 99%

Semiconductor Gas Sensors: Materials, Technology, Design, and Application

Nikolić

Milovanović

Vasiljević

et al. 2020

Sensors

308

134

View full text Add to dashboard Cite

This paper presents an overview of semiconductor materials used in gas sensors, their technology, design, and application. Semiconductor materials include metal oxides, conducting polymers, carbon nanotubes, and 2D materials. Metal oxides are most often the first choice due to their ease of fabrication, low cost, high sensitivity, and stability. Some of their disadvantages are low selectivity and high operating temperature. Conducting polymers have the advantage of a low operating temperature and can detect many organic vapors. They are flexible but affected by humidity. Carbon nanotubes are chemically and mechanically stable and are sensitive towards NO and NH3, but need dopants or modifications to sense other gases. Graphene, transition metal chalcogenides, boron nitride, transition metal carbides/nitrides, metal organic frameworks, and metal oxide nanosheets as 2D materials represent gas-sensing materials of the future, especially in medical devices, such as breath sensing. This overview covers the most used semiconducting materials in gas sensing, their synthesis methods and morphology, especially oxide nanostructures, heterostructures, and 2D materials, as well as sensor technology and design, application in advance electronic circuits and systems, and research challenges from the perspective of emerging technologies.

show abstract

Section: Applicationmentioning

confidence: 99%

Semiconductor Gas Sensors: Materials, Technology, Design, and Application

Nikolić

Milovanović

Vasiljević

et al. 2020

Sensors

308

134

View full text Add to dashboard Cite

show abstract

“…In monitoring and sensing using autonomous navigation collecting data devices, the researchers in [13] presented a mobile robotic olfaction system that allows the performing of online gas-sensing tasks in unknown open environments. This work's drawback is that it does not apply air quality sensors (CO, CO 2 , NH 3 ) to improve the intervention.…”

Section: Environmental Monitoringmentioning

confidence: 99%

“…Our objective in this work is to investigate a platform that responds to minimize risks in an intervention by validating our architecture and algorithms improving the information about the scenario reducing time of exposure to minimize risks. Therefore, previously and during the intervention of firefighters, it would be capable of monitoring and operating indoors with hostile conditions associated with an emergency [13]. In the design and development of the proposed system, the recommendations and needs of the APTB (Professional Association of Fire Fighters Technicians) have been followed.…”

Section: Our Contributionmentioning

confidence: 99%

HelpResponder—System for the Security of First Responder Interventions

Rodriguez‐Sanchez

Fernández-Jiménez

Jiménez

et al. 2021

Sensors

View full text Add to dashboard Cite

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.

show abstract

“…Therefore, to the best of our knowledge, our effort can be considered among the frontier attempts in addressing the challenge of finding and tracking a PM source using a mobile robot. Some previous works on robotic fire detection [35], [36] used carbon dioxide sensors, but they may not work well if the combustion is not complete. PM source localization can be an alternative solution for this case.…”

Section: Introductionmentioning

confidence: 99%

Particle Source Localization With a Low-Cost Robotic Sensor System: Algorithmic Design and Performance Evaluation

et al. 2020

View full text Add to dashboard Cite

In this paper we tackle the problem of finding the source of particulate matter with a mobile robot equipped with a low-cost multi-channel optical particle counting sensor. The proposed method is based on the Infotaxis odor source localization algorithm and makes multiple modifications to adapt it to particle plumes. In particular, we propose three simple but efficient ways to fuse multiple probability maps associated with various particle sizes and use the resulted integrated map to guide the robot's movements. A refined measurement data collection is conducted in a wind tunnel to fit the particle plume model. The method with three proposed integration strategies is evaluated in simulation and in the wind tunnel emulating realistic environmental conditions in a repeatable fashion. In particular, we have investigated the impact of two environmental parameters-the wind speed and source release rate on the algorithm performance. The proposed algorithm with the weighted multi-modality map integration strategy outperforms the original Infotaxis and the other two variants. In high wind speed, the proposed algorithm is able on average to estimate the source location with less than 1 meter error in the 80 m 2 wind tunnel arena.

show abstract

FireNose on Mobile Robot in Harsh Environments

Cited by 23 publications

References 38 publications

Semiconductor Gas Sensors: Materials, Technology, Design, and Application

Semiconductor Gas Sensors: Materials, Technology, Design, and Application

HelpResponder—System for the Security of First Responder Interventions

Particle Source Localization With a Low-Cost Robotic Sensor System: Algorithmic Design and Performance Evaluation

Contact Info

Product

Resources

About