Shaotang Cai, Xiao-hong Ren, Lian Xu, Shih-Feng Fan
{"title":"红外成像处理在通风温度监测中的应用","authors":"Shaotang Cai, Xiao-hong Ren, Lian Xu, Shih-Feng Fan","doi":"10.1109/IAEAC.2018.8577713","DOIUrl":null,"url":null,"abstract":"The traditional lees airing system of Chinese Strong Aromatic Spirits has the problems of inaccurate, incomplete and uneven temperature monitoring of the lees face. Therefore, a real-time monitoring method of lees temperature based on infrared thermal imaging technology is proposed in this paper. In this paper, the infrared temperature image of lees was collected by infrared sensors. The temperature distribution of distiller's grains thermal image was analyzed, and the temperature change curve of lees surface was plotted. The infrared image mixed processing algorithm was used to calculate the probability of uniform distribution of lees temperature. The compliance rate of the two areas of the airing bed reached 58.49% and 84.32%, respectively. Experiments show that the application of infrared thermal imaging technology can accurately determine the spreader's effectiveness. Finally, according to the monitoring effect, this paper proposes an improvement plan for the air-dryer.","PeriodicalId":6573,"journal":{"name":"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"22 1","pages":"1475-1479"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of Infrared Imaging Processing in the Monitoring of Temperature in Lees Airing\",\"authors\":\"Shaotang Cai, Xiao-hong Ren, Lian Xu, Shih-Feng Fan\",\"doi\":\"10.1109/IAEAC.2018.8577713\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The traditional lees airing system of Chinese Strong Aromatic Spirits has the problems of inaccurate, incomplete and uneven temperature monitoring of the lees face. Therefore, a real-time monitoring method of lees temperature based on infrared thermal imaging technology is proposed in this paper. In this paper, the infrared temperature image of lees was collected by infrared sensors. The temperature distribution of distiller's grains thermal image was analyzed, and the temperature change curve of lees surface was plotted. The infrared image mixed processing algorithm was used to calculate the probability of uniform distribution of lees temperature. The compliance rate of the two areas of the airing bed reached 58.49% and 84.32%, respectively. Experiments show that the application of infrared thermal imaging technology can accurately determine the spreader's effectiveness. Finally, according to the monitoring effect, this paper proposes an improvement plan for the air-dryer.\",\"PeriodicalId\":6573,\"journal\":{\"name\":\"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)\",\"volume\":\"22 1\",\"pages\":\"1475-1479\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAEAC.2018.8577713\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAEAC.2018.8577713","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Infrared Imaging Processing in the Monitoring of Temperature in Lees Airing
The traditional lees airing system of Chinese Strong Aromatic Spirits has the problems of inaccurate, incomplete and uneven temperature monitoring of the lees face. Therefore, a real-time monitoring method of lees temperature based on infrared thermal imaging technology is proposed in this paper. In this paper, the infrared temperature image of lees was collected by infrared sensors. The temperature distribution of distiller's grains thermal image was analyzed, and the temperature change curve of lees surface was plotted. The infrared image mixed processing algorithm was used to calculate the probability of uniform distribution of lees temperature. The compliance rate of the two areas of the airing bed reached 58.49% and 84.32%, respectively. Experiments show that the application of infrared thermal imaging technology can accurately determine the spreader's effectiveness. Finally, according to the monitoring effect, this paper proposes an improvement plan for the air-dryer.