Guillermo Sanchez-Guzman, W. Velasquez, Manuel S. Alvarez‐Alvarado
{"title":"Modeling a simulated Forest to get Burning Times of Tree Species using a Digital Twin","authors":"Guillermo Sanchez-Guzman, W. Velasquez, Manuel S. Alvarez‐Alvarado","doi":"10.1109/CCWC54503.2022.9720768","DOIUrl":null,"url":null,"abstract":"This paper states a digital model of a forest to analyze fire behavior using variables such as the rate of combustion and the time it takes for a species to be wholly burned. A simulation environment of a wooded area was designed that includes native species of a protected forest, where the height, diameter, and density are considered in each species to calculate the burning time. The results show combustion values approximate a natural environment, allowing a route to obtain real-time in a forest fire. The proposed model can be used to predict and prevent ignition points in forest fires.","PeriodicalId":101590,"journal":{"name":"2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCWC54503.2022.9720768","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper states a digital model of a forest to analyze fire behavior using variables such as the rate of combustion and the time it takes for a species to be wholly burned. A simulation environment of a wooded area was designed that includes native species of a protected forest, where the height, diameter, and density are considered in each species to calculate the burning time. The results show combustion values approximate a natural environment, allowing a route to obtain real-time in a forest fire. The proposed model can be used to predict and prevent ignition points in forest fires.