Fire, smoke and gas leakage detection Dataset

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.

本数据集为开源免费数据集，关联火灾、烟雾与气体泄漏检测任务，采集自智能建筑传感器系统SB112，具备边缘计算（edge computing）与下一代（Next Generation, NG）112紧急呼叫功能。
若您使用或处理本数据集，请引用下述详细介绍了SB112的学术论文：Maltezos, E.; Petousakis, K.; Dadoukis, A.; Karagiannidis, L.; Ouzounoglou, E.; Krommyda, M.; Hadjipavlis, G.; Amditis, A. 一款具备边缘计算与NG112紧急呼叫功能的智能建筑火灾及气体泄漏预警系统[J]. Information, 2022, 13, 164. https://doi.org/10.3390/info13040164。
该数据集的Excel文件涵盖2022年3月8日至2022年3月11日的采集数据。其中2022年3月8日至3月10日的数据为传感器持续运行采集的无实体触发数据。2022年3月11日的传感器实体触发操作如下：1. 在距烟雾与一氧化碳（Carbon Monoxide, CO）传感器15cm至20cm处燃烧纸片；2. 在距液化石油气（Liquefied Petroleum Gas, LPG）/压缩天然气（Compressed Natural Gas, CNG）传感器5cm至10cm处通入打火机燃气；3. 在距火焰/红外（Infrared, IR）传感器15cm至100cm处用打火机产生移动火焰进行触发。
每个Excel工作表均包含四列数据：i) 测量数据的捕获日期时间；ii) 传感器类型；iii) 测量单位；iv) 数据数值。
致谢：本研究为S4AllCities项目的一部分。该项目获欧盟地平线2020研究与创新计划资助（资助协议编号：883522）。本内容仅代表作者观点，欧盟研究执行局（Research Executive Agency, REA）/欧盟委员会不对本信息的任何使用承担责任。

搜集汇总

背景与挑战

背景概述

这是一个开放免费的火灾、烟雾和气体泄漏检测数据集，数据来源于智能建筑传感器系统SB112，具有边缘计算和紧急呼叫功能。数据集包含2022年3月8日至11日采集的传感器数据，涉及CNG、CO、火焰、LPG和烟雾等多种传感器类型，数据通过连续操作和物理触发（如燃烧纸张、暴露于气体和火焰）获取，以Excel文件格式存储，每列包括时间戳、传感器类型、单位和数值。