{"title":"采用嵌入式模糊控制器的安全能源管理系统","authors":"D. Ravi, A. Dharani, S. Sandhya, Kanthalakshmi","doi":"10.1109/ICCCNT.2013.6726685","DOIUrl":null,"url":null,"abstract":"Energy is a resource that needs to be managed effectively and efficiently. The paper presents a fuzzy logic approach that controls the appliances indoors and ensures a secure and flexible environment for the user. The striking feature about this embedded energy management system is its flexibility to suit the user's changing preferences and life style. Three different modes of control are provided and security is ensured in the DTMF (Dual Tone Multi-Frequency) mode to avoid tampering with the equipment. Implementing the above proposed idea using fuzzy control logic would reduce the energy consumption. The rules for fuzzy control are formulated and implemented in MATLAB.","PeriodicalId":6330,"journal":{"name":"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)","volume":"34 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Secure energy management system using embedded fuzzy controller\",\"authors\":\"D. Ravi, A. Dharani, S. Sandhya, Kanthalakshmi\",\"doi\":\"10.1109/ICCCNT.2013.6726685\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Energy is a resource that needs to be managed effectively and efficiently. The paper presents a fuzzy logic approach that controls the appliances indoors and ensures a secure and flexible environment for the user. The striking feature about this embedded energy management system is its flexibility to suit the user's changing preferences and life style. Three different modes of control are provided and security is ensured in the DTMF (Dual Tone Multi-Frequency) mode to avoid tampering with the equipment. Implementing the above proposed idea using fuzzy control logic would reduce the energy consumption. The rules for fuzzy control are formulated and implemented in MATLAB.\",\"PeriodicalId\":6330,\"journal\":{\"name\":\"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)\",\"volume\":\"34 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCNT.2013.6726685\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCNT.2013.6726685","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Secure energy management system using embedded fuzzy controller
Energy is a resource that needs to be managed effectively and efficiently. The paper presents a fuzzy logic approach that controls the appliances indoors and ensures a secure and flexible environment for the user. The striking feature about this embedded energy management system is its flexibility to suit the user's changing preferences and life style. Three different modes of control are provided and security is ensured in the DTMF (Dual Tone Multi-Frequency) mode to avoid tampering with the equipment. Implementing the above proposed idea using fuzzy control logic would reduce the energy consumption. The rules for fuzzy control are formulated and implemented in MATLAB.