{"title":"AcousticThermo: Temperature Monitoring Using Acoustic Pulse Signal","authors":"Fusang Zhang, Kai Niu, Xiaolai Fu, Beihong Jin","doi":"10.1109/MSN50589.2020.00114","DOIUrl":null,"url":null,"abstract":"Temperature is an important indicator for agriculture irrigation, industrial manufacture, food safety, etc. While temperature measurement can be achieved via dedicated sensors, there still have a demand to sense temperature with ubiquitous computing devices. In this paper, we propose to enable the sound signal to measure the air temperature using commodity acoustic devices. Different from existing FMCW and OFDM based acoustic sensing system, we are the first to employ acoustic pulse signal and get rid of offsets to obtain the accurate sound speed. Then we precisely obtain temperature by quantifying the relation between sound speed and temperature. We build a temperature monitoring prototype named AcousticThermo, and conduct extensive experiments. Experimental results show that the proposed system can achieve an average estimation error of below 0.2°C in various temperature environments.","PeriodicalId":447605,"journal":{"name":"2020 16th International Conference on Mobility, Sensing and Networking (MSN)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 16th International Conference on Mobility, Sensing and Networking (MSN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MSN50589.2020.00114","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Temperature is an important indicator for agriculture irrigation, industrial manufacture, food safety, etc. While temperature measurement can be achieved via dedicated sensors, there still have a demand to sense temperature with ubiquitous computing devices. In this paper, we propose to enable the sound signal to measure the air temperature using commodity acoustic devices. Different from existing FMCW and OFDM based acoustic sensing system, we are the first to employ acoustic pulse signal and get rid of offsets to obtain the accurate sound speed. Then we precisely obtain temperature by quantifying the relation between sound speed and temperature. We build a temperature monitoring prototype named AcousticThermo, and conduct extensive experiments. Experimental results show that the proposed system can achieve an average estimation error of below 0.2°C in various temperature environments.