{"title":"基于多源异构信息融合的多层次火灾探测平台","authors":"Bicheng Hua, Kanjian Zhang, Haikun Wei, Jinxia Zhang, Liping Xie","doi":"10.1145/3415048.3416120","DOIUrl":null,"url":null,"abstract":"Photovoltaic power generation is an important part of the current new energy sources. With the development of photovoltaic power generation technology, the corresponding security operation technology has become a new research topic. In this paper, a multi-level fire detection platform based on multi-source heterogeneous information fusion is proposed. The platform includes two levels of detection, level 1 is smoke detection through video monitoring data. Level 2 is the fire detection of data collected by meteorological monitoring. Through the two-level detection, the fire hazard situation and fire hazard location can be accurately located.","PeriodicalId":122511,"journal":{"name":"Proceedings of the 2020 International Conference on Pattern Recognition and Intelligent Systems","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Multilevel Fire Detection Platform Based on Multi-Source Heterogeneous Information Fusion\",\"authors\":\"Bicheng Hua, Kanjian Zhang, Haikun Wei, Jinxia Zhang, Liping Xie\",\"doi\":\"10.1145/3415048.3416120\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Photovoltaic power generation is an important part of the current new energy sources. With the development of photovoltaic power generation technology, the corresponding security operation technology has become a new research topic. In this paper, a multi-level fire detection platform based on multi-source heterogeneous information fusion is proposed. The platform includes two levels of detection, level 1 is smoke detection through video monitoring data. Level 2 is the fire detection of data collected by meteorological monitoring. Through the two-level detection, the fire hazard situation and fire hazard location can be accurately located.\",\"PeriodicalId\":122511,\"journal\":{\"name\":\"Proceedings of the 2020 International Conference on Pattern Recognition and Intelligent Systems\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2020 International Conference on Pattern Recognition and Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3415048.3416120\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2020 International Conference on Pattern Recognition and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3415048.3416120","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Multilevel Fire Detection Platform Based on Multi-Source Heterogeneous Information Fusion
Photovoltaic power generation is an important part of the current new energy sources. With the development of photovoltaic power generation technology, the corresponding security operation technology has become a new research topic. In this paper, a multi-level fire detection platform based on multi-source heterogeneous information fusion is proposed. The platform includes two levels of detection, level 1 is smoke detection through video monitoring data. Level 2 is the fire detection of data collected by meteorological monitoring. Through the two-level detection, the fire hazard situation and fire hazard location can be accurately located.