An IoT Based Framework of LPG Real Time Gas Leakage Detection and Controlling

Bhatia, Sandeep; Verma, Soniya

doi:10.2139/ssrn.4184535

Cited by 5 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Sensor nodes that use direct transmission send data directly to the sink, which causes nodes that are farthest from the sink to go offline first. The intelligent system is designed to predict a fire outbreak at its early stage by visualizing every level of the concentration of gases in the air and trigger an alarm when it reaches a predetermined threshold [8]. The system stores the node's information as well as the time in the database continuously in real-time and it is a technique intended to prevent fire disaster.…”

Section: Figure 2 Star Network Topology Based On Wsnmentioning

confidence: 99%

Intelligent Aircraft Hangar Fire Detection and Location System Based on Wireless Sensor Network

Abdullahi,

Bonet,

Chiedu

et al. 2023

EAI Endorsed Trans Smart Cities

View full text Add to dashboard Cite

Aircraft hangar fire detection systems are essential for protecting both the facility's assets and the contents of an aircraft. In terms of predicting a fire outbreak at an aircraft hangar, the Intelligent Aircraft Hangar Fire detection is considered as a high-performance system that is designed based on the principle of a wireless sensor network (WSN), which operates by employing three sensor nodes at different locations inside the aircraft hangar to transmit gas concentrations in the air to a base station (BS) and send the resulting data from the sensor nodes to a server for analysis and visualization of the risk level. The server uses Machine Learning (ML) techniques to analyze the acquired data along with the sample gas data and displays the report in real time. When the smoke (gas) concentration is high, the server predicts a fire outbreak by displaying a high concentration zone on the Graphic User Interface (GUI). By this, the server automatically issues a warning and identifies the potential fire location. The technology is built to protect aircraft assets, hangar buildings, and human (personnel) life. A crucial part in the early detection of fire is played by the intelligent system

show abstract

Section: Figure 2 Star Network Topology Based On Wsnmentioning

confidence: 99%