{"title":"基于单片机的牛奶参数化数据监测与质量分析","authors":"N. Khera, Akash Kumar, Fajr Fajr, T. Khajwal","doi":"10.1109/ICICT46931.2019.8977704","DOIUrl":null,"url":null,"abstract":"In this paper, the important parameters of milk like pH value, Correct Lactometer Reading (CLR), Fat percentage and Solid but Not Fat (SNF) are monitored. The pH sensor interfaced with the low cost microcontroller board (Arduino Uno) is used to measure the pH value and CLR of the milk is obtained from Lactometer. Butyrometer is used to measure the Fat percentage. From the calculated Fat percentage and CLR values, the SNF value has been obtained from their mathematical relationship which is implemented in real-time by programming microcontroller board. Finally, the obtained pH and SNF values on the serial monitor of Arduino software are stored as MS Excel database file using the CoolTerm software for further quality analysis of milk. The developed system is an efficient tool for detecting the adulteration of the milk based on the variation in the obtained data values of pH and SNF content of milk from their standard values.","PeriodicalId":412668,"journal":{"name":"2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","volume":"67 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Microcontroller Based Parametric Data Monitoring and Quality Analysis of Milk\",\"authors\":\"N. Khera, Akash Kumar, Fajr Fajr, T. Khajwal\",\"doi\":\"10.1109/ICICT46931.2019.8977704\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the important parameters of milk like pH value, Correct Lactometer Reading (CLR), Fat percentage and Solid but Not Fat (SNF) are monitored. The pH sensor interfaced with the low cost microcontroller board (Arduino Uno) is used to measure the pH value and CLR of the milk is obtained from Lactometer. Butyrometer is used to measure the Fat percentage. From the calculated Fat percentage and CLR values, the SNF value has been obtained from their mathematical relationship which is implemented in real-time by programming microcontroller board. Finally, the obtained pH and SNF values on the serial monitor of Arduino software are stored as MS Excel database file using the CoolTerm software for further quality analysis of milk. The developed system is an efficient tool for detecting the adulteration of the milk based on the variation in the obtained data values of pH and SNF content of milk from their standard values.\",\"PeriodicalId\":412668,\"journal\":{\"name\":\"2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)\",\"volume\":\"67 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICT46931.2019.8977704\",\"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 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICT46931.2019.8977704","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Microcontroller Based Parametric Data Monitoring and Quality Analysis of Milk
In this paper, the important parameters of milk like pH value, Correct Lactometer Reading (CLR), Fat percentage and Solid but Not Fat (SNF) are monitored. The pH sensor interfaced with the low cost microcontroller board (Arduino Uno) is used to measure the pH value and CLR of the milk is obtained from Lactometer. Butyrometer is used to measure the Fat percentage. From the calculated Fat percentage and CLR values, the SNF value has been obtained from their mathematical relationship which is implemented in real-time by programming microcontroller board. Finally, the obtained pH and SNF values on the serial monitor of Arduino software are stored as MS Excel database file using the CoolTerm software for further quality analysis of milk. The developed system is an efficient tool for detecting the adulteration of the milk based on the variation in the obtained data values of pH and SNF content of milk from their standard values.