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The safety improvement was proposed using\n            <jats:bold>Computational Fluid Dynamics (CFD)<\/jats:bold>\n            simulation including process design and comprehensive protective approach based on\n            <jats:bold>Layers of Protection (LOP)<\/jats:bold>\n            strategies. The safety of construction was improved by the development of flammable gas monitoring and an alarming ventilation control system widely used in urban regulatory network. The concentration of flammable gas in the hanging basket is controlled below 5.0% of the lower explosion limit with the possibility to reduce this further to as low as 1.0%. The threat of smokestacks explosion to urban safety is greatly reduced. This system has a certain reference value for the government and factories to use digital tools to improve construction efficiency and urban safety.\n          <\/jats:p>","DOI":"10.1145\/3528622","type":"journal-article","created":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T11:00:56Z","timestamp":1659438056000},"page":"1-13","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Studies of Urban Safety Improvement for Anti-Corrosion Smokestack Protection Based on LOP Strategies"],"prefix":"10.1145","volume":"3","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9530-7093","authenticated-orcid":false,"given":"Zhen","family":"Tian","sequence":"first","affiliation":[{"name":"School of Mechanical and Automotive Engineering, South China University of Technology, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4623-4625","authenticated-orcid":false,"given":"Huaichen","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Mechanical and Automotive Engineering, South China University of Technology, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,12,5]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1016\/j.neucom.2020.07.150","article-title":"Citywide road-network traffic monitoring using large-scale mobile signaling data","volume":"444","author":"Qiuyang H.","year":"2021","unstructured":"H. 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