{"title":"基于物联网和云的智能家居自动化,提高能源效率","authors":"Rosida Nur Aziza, Puji Catur Siswipraptini, Ma. Jabbar, Riki Ruli Siregar","doi":"10.1109/ICISS53185.2021.9533211","DOIUrl":null,"url":null,"abstract":"This paper proposes a prototype of an improved smart home automation system, with the integration of IoT, cloud technologies, and intelligence embedding. The automation and the ability for users to control their home appliances remotely are enabled with the use of IoT. Since a smart home also requires to consider the importance of energy efficiency while offering a certain level of comfort, the energy consumption is also monitored by placing several current and volatage sensors. The Raspberry Pi microcontroller board is used to gather and process information from sensors and allows the uploading of the data to the cloud database. A fuzzy-based algorithm is employed for helping the smart home controller to provide the right decisions based on the current home condition when the application runs in automatic mode. Meanwhile KMeans Algorithms is implemented to cluster the smart home user’s energy consumption.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The IoT and Cloud Based Smart Home Automation for a Better Energy Efficiency\",\"authors\":\"Rosida Nur Aziza, Puji Catur Siswipraptini, Ma. Jabbar, Riki Ruli Siregar\",\"doi\":\"10.1109/ICISS53185.2021.9533211\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a prototype of an improved smart home automation system, with the integration of IoT, cloud technologies, and intelligence embedding. The automation and the ability for users to control their home appliances remotely are enabled with the use of IoT. Since a smart home also requires to consider the importance of energy efficiency while offering a certain level of comfort, the energy consumption is also monitored by placing several current and volatage sensors. The Raspberry Pi microcontroller board is used to gather and process information from sensors and allows the uploading of the data to the cloud database. A fuzzy-based algorithm is employed for helping the smart home controller to provide the right decisions based on the current home condition when the application runs in automatic mode. Meanwhile KMeans Algorithms is implemented to cluster the smart home user’s energy consumption.\",\"PeriodicalId\":220371,\"journal\":{\"name\":\"2021 International Conference on ICT for Smart Society (ICISS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on ICT for Smart Society (ICISS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICISS53185.2021.9533211\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on ICT for Smart Society (ICISS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISS53185.2021.9533211","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The IoT and Cloud Based Smart Home Automation for a Better Energy Efficiency
This paper proposes a prototype of an improved smart home automation system, with the integration of IoT, cloud technologies, and intelligence embedding. The automation and the ability for users to control their home appliances remotely are enabled with the use of IoT. Since a smart home also requires to consider the importance of energy efficiency while offering a certain level of comfort, the energy consumption is also monitored by placing several current and volatage sensors. The Raspberry Pi microcontroller board is used to gather and process information from sensors and allows the uploading of the data to the cloud database. A fuzzy-based algorithm is employed for helping the smart home controller to provide the right decisions based on the current home condition when the application runs in automatic mode. Meanwhile KMeans Algorithms is implemented to cluster the smart home user’s energy consumption.