{"title":"基于物联网的印染工业水污染智能安全监测","authors":"Gathir Selvan B., Allirani S.","doi":"10.4018/ijhiot.305227","DOIUrl":null,"url":null,"abstract":"Textile industries are responsible for one of the major environmental pollution because they release undesirable dye effluents. Therefore, environmental legislation commonly obligates textile factories to treat these effluents before discharge into the water bodies. The main aim of our project is to control the parameters causing pollution and to reduce the effect of these parameters without affecting the natural or industrial environment. The industrial waste is continuously sensed from a pH sensor. If anyone parameter exceeds its standard level, this information will send to the pollution control board through the IoT module. Another important step is these parameters can be monitor through the internet by using a web page (cloud). These systems find the amount of pH present in the industrial waste during Treatment. Thus our project will monitor and control pollution efficiently and the data can be transferred through cloud communication. Cayenne is a GUI to the user and IoT is used for outside world interaction for information transfer.","PeriodicalId":262783,"journal":{"name":"International Journal of Hyperconnectivity and the Internet of Things","volume":"202 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Smart and Secure Dyeing Industrial Water Pollution Monitoring Using IoT\",\"authors\":\"Gathir Selvan B., Allirani S.\",\"doi\":\"10.4018/ijhiot.305227\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Textile industries are responsible for one of the major environmental pollution because they release undesirable dye effluents. Therefore, environmental legislation commonly obligates textile factories to treat these effluents before discharge into the water bodies. The main aim of our project is to control the parameters causing pollution and to reduce the effect of these parameters without affecting the natural or industrial environment. The industrial waste is continuously sensed from a pH sensor. If anyone parameter exceeds its standard level, this information will send to the pollution control board through the IoT module. Another important step is these parameters can be monitor through the internet by using a web page (cloud). These systems find the amount of pH present in the industrial waste during Treatment. Thus our project will monitor and control pollution efficiently and the data can be transferred through cloud communication. Cayenne is a GUI to the user and IoT is used for outside world interaction for information transfer.\",\"PeriodicalId\":262783,\"journal\":{\"name\":\"International Journal of Hyperconnectivity and the Internet of Things\",\"volume\":\"202 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Hyperconnectivity and the Internet of Things\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/ijhiot.305227\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Hyperconnectivity and the Internet of Things","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijhiot.305227","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Smart and Secure Dyeing Industrial Water Pollution Monitoring Using IoT
Textile industries are responsible for one of the major environmental pollution because they release undesirable dye effluents. Therefore, environmental legislation commonly obligates textile factories to treat these effluents before discharge into the water bodies. The main aim of our project is to control the parameters causing pollution and to reduce the effect of these parameters without affecting the natural or industrial environment. The industrial waste is continuously sensed from a pH sensor. If anyone parameter exceeds its standard level, this information will send to the pollution control board through the IoT module. Another important step is these parameters can be monitor through the internet by using a web page (cloud). These systems find the amount of pH present in the industrial waste during Treatment. Thus our project will monitor and control pollution efficiently and the data can be transferred through cloud communication. Cayenne is a GUI to the user and IoT is used for outside world interaction for information transfer.