{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T13:50:56Z","timestamp":1762005056269,"version":"build-2065373602"},"reference-count":33,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2019,1,17]],"date-time":"2019-01-17T00:00:00Z","timestamp":1547683200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>In recent years, fire accidents in petrochemical plant areas and dangerous goods storage ports in China have shown a trend of frequent occurrence. Toxic and harmful gases are diffused in the scenes of these accidents, which causes great difficulties for fire fighting and rescue operations of fire fighting forces, and consequently, casualties of firefighters often occur. In order to ensure the safety of firefighters in such places, this paper designs a monitoring system of toxic and harmful gases specially used in fire fighting and rescue sites of fire forces, and establishes the transmission network, monitoring terminal and data processing software of the monitoring system of toxic and harmful gases, establishing the danger model of the monitoring area of toxic and harmful gas-monitoring terminal, and the danger model of fire fighters\u2019 working area, fusing the field toxic and harmful gas data, terminal positioning data, and field environmental data, designing the data structure of the input data set and the network structure of the RNN cyclic neural network model, and realizing the dynamic early warning of toxic and harmful gases on site.<\/jats:p>","DOI":"10.3390\/s19020369","type":"journal-article","created":{"date-parts":[[2019,1,17]],"date-time":"2019-01-17T11:30:27Z","timestamp":1547724627000},"page":"369","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Design and Application of Toxic and Harmful Gas Monitoring System in Fire Fighting"],"prefix":"10.3390","volume":"19","author":[{"given":"Yufeng","family":"Fan","sequence":"first","affiliation":[{"name":"Shenyang Fire Research Institute of Ministry of Public Security, ShenYang 110034, China"}]},{"given":"Xiaodong","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Jilin University, Changchun 130025, China"}]},{"given":"Hulin","family":"Sui","sequence":"additional","affiliation":[{"name":"Shenyang Fire Research Institute of Ministry of Public Security, ShenYang 110034, China"}]},{"given":"Haotai","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Jilin University, Changchun 130025, China"}]},{"given":"Zhongming","family":"Wang","sequence":"additional","affiliation":[{"name":"Beijing Fubang Smart IoT Technology Co. Ltd, Haidian District, Beijing 100193, China"}]}],"member":"1968","published-online":{"date-parts":[[2019,1,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1177\/1042391503013002003","article-title":"Review of Recent Developments in Fire Detection Technologies","volume":"13","author":"Liu","year":"2003","journal-title":"J. Fire Prot. Eng."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/0379-7112(93)90047-T","article-title":"Toxic gases from house fires involving natural and synthetic polymers under various conditions","volume":"20","author":"Morikawa","year":"1993","journal-title":"Fire Saf. J."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.jhazmat.2007.02.018","article-title":"Sensors\u2014An effective approach for the detection of explosives","volume":"144","author":"Singh","year":"2007","journal-title":"J. Hazard. 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