Design and Implementation of an IoT Based Firefighting and Affected Area Monitoring Robot

Hossain, Anowar; Roy, Himaddri Shakhar; Khondakar, Md. Fazlul Karim; Sarowar, Md. Hasib; Hossainline, Md. Azad

doi:10.1109/icrest51555.2021.9331064

Cited by 8 publications

(5 citation statements)

References 4 publications

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“…For example, [15] developed an intelligent garment responsible for monitoring the physiological state of the firefighter through an electrocardiogram, electrodermal activity, an electromyogram, respiration, blood volume pulse, as well as from other physical parameters, specifically temperature and motion measurements through an accelerometer. Physical parameters, such as temperature, humidity and body movement detection through acceleration, are considered in the implementation of most systems [7,[9][10][11][12][13][14][15]17,18,20]. Acquiring such values expands the capabilities of firefighters' health monitoring since aside from physiological values, vital signs such as motion or posture can be extracted.…”

Section: Related Workmentioning

confidence: 99%

“…Acquiring such values expands the capabilities of firefighters' health monitoring since aside from physiological values, vital signs such as motion or posture can be extracted. Regarding air quality, a smaller number of studies join air quality monitoring with the rest of the system [7,11,17,18,20].…”

Section: Related Workmentioning

confidence: 99%

“…The communication infrastructure varies as well, as it depends on the location of the monitoring system. A popular technology used is Wi-Fi, which is used for systems inside urban areas [20][21][22]26,29] or industrial areas [28], while for firefighter-monitoring systems, it is used for communication between a more powerful intermediate device (mobile phone [10] or a broker [7]), or capable processing units (such as Raspberry Pi). For longer ranges with less power consumption, technologies like LoRaWAN [9,12,13,23,25] and ZigBee/XBee [7,14] are utilized.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Integrated Portable and Stationary Health Impact-Monitoring System for Firefighters

Lioliopoulos,

Oikonomou,

Boulougaris

et al. 2024

Sensors

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The multi-layered negative effects caused by pollutants released into the atmosphere as a result of fires served as the stimulus for the development of a system that protects the health of firefighters operating in the affected area. A collaborative network comprising mobile and stationary Internet of Things (IoT) devices that are furnished with gas sensors, along with a remote server, constructs a resilient framework that monitors the concentrations of harmful emissions, characterizes the ambient air quality of the vicinity where the fire transpires, adopting European Air Quality levels, and communicates the outcomes via suitable applications (RESTful APIs and visualizations) to the stakeholders responsible for fire management decision making. Different experimental evaluations adopting separate contexts illustrate the operation of the infrastructure.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Integrated Portable and Stationary Health Impact-Monitoring System for Firefighters

Lioliopoulos,

Oikonomou,

Boulougaris

et al. 2024

Sensors

View full text Add to dashboard Cite

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“…A total of 16,858 fire events were reported in 2016 across the country, resulting in 152 fatalities and a loss of 240 crore 43 lacs Taka. In our project, we developed a robot that can use a flame sensor to detect fire and pump water to a designated fire location [9]. The likelihood of major disasters can be considerably decreased through observation, which can also quickly put an end to an unusual event.…”

Section: Introductionmentioning

confidence: 99%

A Study on Robot Engineering based Fire Evacuation System

Aishwarya¹,

Avantika²,

G.I³

et al. 2023

IJETMS

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In this paper, we will read research papers on relevant issues to obtain information to help us create a system to rescue individuals who are caught in dangerous situations due to fire. This paper comprises the review of publications linked to fire evacuation and rescue robots. This robot is intended to rescue people trapped in a burning building and transport them to a safer area. Here, we'll path-plan the quickest route from the escapee's location to the exit and dispatch the robot to rescue and take them there. Human interruption has decreased as a result of mechanical technology advancements, and robots are now used for a variety of tasks as well as for the welfare of humans. The firefighters may utilise this firefighting robot in addition to them in emergency scenarios. A robot firefighter should be able to look about a given region, find the flame, and extinguish it. To complete these duties, the robot needs the proper controller. The work given here is a mini-project that is taken up as a part of the curriculum completed by electronics and communication engineering students in the second year of the electronics & communication engineering department at Dayananda Sagar College of Engineering in Bangalore.

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“…Furthermore, other research with robots focuses on evaluating sensing capabilities based on image processing from thermal sensor imaging. The utilization of robots in fire monitoring and detection can function properly, but robots can only be used when a fire has occurred and is not preventive [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Intelligent System for Internet of Things-Based Building Fire Safety with Naive Bayes Algorithm

Dasriani,

Hadi,

Syahrir

2023

matrik

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Population growth is increasing every year. Population growth causes an increase in population density in a country. The largest population density is in urban areas. Fires in a city with a high population density will potentially cause greater damage. Material and non-material losses due to fire can be caused by not functioning maximally early warning systems, especially fire detection. In addition, other factors, such as system errors in detecting fires, can potentially cause fires. This research aims to build an intelligent system that can minimize building fire detection errors to reduce user material losses. The intelligent system can classify fire potential into four classifications, namely ”very dangerous,” ”dangerous,” ”alert,” and ”safe.” The method used in this research is Research and Development (R&D) with artificial intelligence using the Na¨ıve Bayes method, which has been integrated with the Internet of Things (IoT). This research shows that the Na¨ıve Bayes algorithm can be used to classify fire potential, proven by the overall system testing accuracy of 93.33% with an error of 6.77%.

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Design and Implementation of an IoT Based Firefighting and Affected Area Monitoring Robot

Cited by 8 publications

References 4 publications

Integrated Portable and Stationary Health Impact-Monitoring System for Firefighters

Integrated Portable and Stationary Health Impact-Monitoring System for Firefighters

A Study on Robot Engineering based Fire Evacuation System

Intelligent System for Internet of Things-Based Building Fire Safety with Naive Bayes Algorithm

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