Nandar Nyein Wai, S. Siyang, T. Pobkrut, T. Thepudom, Chayanin Kunarak, T. Kerdcharoen
{"title":"电子鼻站在啤酒厂空气质量监测中的应用","authors":"Nandar Nyein Wai, S. Siyang, T. Pobkrut, T. Thepudom, Chayanin Kunarak, T. Kerdcharoen","doi":"10.1109/icce-asia46551.2019.8942207","DOIUrl":null,"url":null,"abstract":"Continuous monitoring and control of malodor emission are increasingly in great demand in several industries. In this work, a wireless network of electronic nose (e-nose) was developed to monitor industrial odor. Five stations of e-nose are placed around a brewery located near Bangkok, Thailand. The stations continuously monitor the odor in real time. Running standard deviation of the sensing signals is used to determine the odor event (large fluctuation of the odor). It was found that the station no. 3 (located near the wastewater treatment plant in the brewery) displays the highest response as compared to the others. Further implementation of filtering algorithms makes the devices a predictive tool for odor monitoring and control.","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Application of Electronic Nose Stations for Air Quality Monitoring in a Brewery\",\"authors\":\"Nandar Nyein Wai, S. Siyang, T. Pobkrut, T. Thepudom, Chayanin Kunarak, T. Kerdcharoen\",\"doi\":\"10.1109/icce-asia46551.2019.8942207\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Continuous monitoring and control of malodor emission are increasingly in great demand in several industries. In this work, a wireless network of electronic nose (e-nose) was developed to monitor industrial odor. Five stations of e-nose are placed around a brewery located near Bangkok, Thailand. The stations continuously monitor the odor in real time. Running standard deviation of the sensing signals is used to determine the odor event (large fluctuation of the odor). It was found that the station no. 3 (located near the wastewater treatment plant in the brewery) displays the highest response as compared to the others. Further implementation of filtering algorithms makes the devices a predictive tool for odor monitoring and control.\",\"PeriodicalId\":117814,\"journal\":{\"name\":\"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/icce-asia46551.2019.8942207\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icce-asia46551.2019.8942207","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Electronic Nose Stations for Air Quality Monitoring in a Brewery
Continuous monitoring and control of malodor emission are increasingly in great demand in several industries. In this work, a wireless network of electronic nose (e-nose) was developed to monitor industrial odor. Five stations of e-nose are placed around a brewery located near Bangkok, Thailand. The stations continuously monitor the odor in real time. Running standard deviation of the sensing signals is used to determine the odor event (large fluctuation of the odor). It was found that the station no. 3 (located near the wastewater treatment plant in the brewery) displays the highest response as compared to the others. Further implementation of filtering algorithms makes the devices a predictive tool for odor monitoring and control.