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Dataset . 2022
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Fire, smoke and gas leakage detection Dataset

Authors: Maltezos, Evangelos; Petousakis, Konstantinos; Karagiannidis, Lazaros; Dadoukis, Aris; Ouzounoglou, Eleftherios;

Fire, smoke and gas leakage detection Dataset

Abstract

This is an open free dataset associated with fire, smoke and gas leakage detection captured from the Smart Building sensor system, namely SB112, with edge computing and Next Generation (NG) 112 emergency call capabilities. In case you use or process this dataset please refer to your work/study the following paper in which the SB112 is described in detail. Maltezos, E.; Petousakis, K.; Dadoukis, A.; Karagiannidis, L.; Ouzounoglou, E.; Krommyda, M.; Hadjipavlis, G.; Amditis, A. A Smart Building Fire and Gas Leakage Alert System with Edge Computing and NG112 Emergency Call Capabilities. Information 2022, 13, 164. https://doi.org/10.3390/info13040164 The excel files contain data from 08/03/2022 to 11/03/2022. From 08/03 to 10/03/2022 the data is gathered from continuous operation without physical triggering. On 11/03/2022 a physical trigger of the sensors was performed by: Burning a piece of paper in a distance of 15 cm - 20cm to the Smoke and CO sensors. By exposing the LPG/CNG sensors to lighter gas in a distance of 5 cm - 10cm. By exposing the Flame/IR sensor to a moving flame from a lighter in a distance of 15 cm - 100cm. In each sheet of the excel files there are four columns: i) the datetime that a measurement was captured, ii) the type of the sensor, iii) the unit of the measurement, and iv) the data value. Acknowledgments: This work is a part of the S4AllCities project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 883522. Content reflects only the authors’ views; the Research Executive Agency (REA)/European Commission is not responsible for any use that may be made of the information it contains.

Keywords

smart cities, edge computing, gas leakage detection, emergency situation, fire detection

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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