{"title":"森林火灾预警与监测系统","authors":"Stefan M. Rizanov, A. Stoynova, D. Todorov","doi":"10.1109/ET.2019.8878653","DOIUrl":null,"url":null,"abstract":"Due to the high rate of forest fire occurrences and the inflicted damages, methods for their early detection, monitoring and behavioral modeling have been created. Within this article these methods are shown as well as their deficiencies. Proposed is a LoRa-based autonomous system for early warning and monitoring, whose objectives are to overcome these shortcomings and aid the process of software behavioral modeling, providing real time local measurements of a group of parameters for applying corrections to the simulation models.","PeriodicalId":306452,"journal":{"name":"2019 IEEE XXVIII International Scientific Conference Electronics (ET)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"System For Early Warning And Monitoring Of Wildfires\",\"authors\":\"Stefan M. Rizanov, A. Stoynova, D. Todorov\",\"doi\":\"10.1109/ET.2019.8878653\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to the high rate of forest fire occurrences and the inflicted damages, methods for their early detection, monitoring and behavioral modeling have been created. Within this article these methods are shown as well as their deficiencies. Proposed is a LoRa-based autonomous system for early warning and monitoring, whose objectives are to overcome these shortcomings and aid the process of software behavioral modeling, providing real time local measurements of a group of parameters for applying corrections to the simulation models.\",\"PeriodicalId\":306452,\"journal\":{\"name\":\"2019 IEEE XXVIII International Scientific Conference Electronics (ET)\",\"volume\":\"64 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE XXVIII International Scientific Conference Electronics (ET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ET.2019.8878653\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE XXVIII International Scientific Conference Electronics (ET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ET.2019.8878653","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
System For Early Warning And Monitoring Of Wildfires
Due to the high rate of forest fire occurrences and the inflicted damages, methods for their early detection, monitoring and behavioral modeling have been created. Within this article these methods are shown as well as their deficiencies. Proposed is a LoRa-based autonomous system for early warning and monitoring, whose objectives are to overcome these shortcomings and aid the process of software behavioral modeling, providing real time local measurements of a group of parameters for applying corrections to the simulation models.
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