Anekwong Yoddumnern, T. Yooyativong, R. Chaisricharoen
{"title":"The wifi multi-sensor network for fire detection mechanism using fuzzy logic with IFTTT process based on cloud","authors":"Anekwong Yoddumnern, T. Yooyativong, R. Chaisricharoen","doi":"10.1109/ECTICON.2017.8096356","DOIUrl":null,"url":null,"abstract":"The expert device is very important within the digital social. This study aims to develop the hardware and algorithm that could work wild area and support any requirement of people's daily life. This device should care your home security-focus on the fire detection. That uses several technologies, to process under the wifi, multi-sensor based on Cloud. Firstly, the sensor calibration to impulse the data detective for quick and ready to process as long time. Next, the FSKF help to filtering data sensor and to estimate the accurate data. The main point of this study is fuzzy logic for fire detection in the home that can send alert messages via an IFTTT process to your smartphone. This is must set warning early-nearly medium range of fire proportion. At last, the OFF-mode help to reduce the power consumption before wifi module send data to the Cloud (ThingSpeak.com). Finally, for the high accuracy of this system to suggest use each sensor type more than one as well as the highly stable.","PeriodicalId":273911,"journal":{"name":"2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECTICON.2017.8096356","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
The expert device is very important within the digital social. This study aims to develop the hardware and algorithm that could work wild area and support any requirement of people's daily life. This device should care your home security-focus on the fire detection. That uses several technologies, to process under the wifi, multi-sensor based on Cloud. Firstly, the sensor calibration to impulse the data detective for quick and ready to process as long time. Next, the FSKF help to filtering data sensor and to estimate the accurate data. The main point of this study is fuzzy logic for fire detection in the home that can send alert messages via an IFTTT process to your smartphone. This is must set warning early-nearly medium range of fire proportion. At last, the OFF-mode help to reduce the power consumption before wifi module send data to the Cloud (ThingSpeak.com). Finally, for the high accuracy of this system to suggest use each sensor type more than one as well as the highly stable.