Radityo Putro Wibisono, N. Suwastika, Sidik Prabowo, Tri Djoko Santoso
{"title":"基于模糊逻辑和物联网的自动化进水口控制系统","authors":"Radityo Putro Wibisono, N. Suwastika, Sidik Prabowo, Tri Djoko Santoso","doi":"10.1109/ICOICT.2018.8528756","DOIUrl":null,"url":null,"abstract":"Internet of Things (IoT) is a concept that aims to expand the benefits of continously connected internet connectivity, IoT offers several benefits, including the ability to provide real-time data, perform process optimization, optimize resource usage, instant control and instant response, and many other things. While fuzzy logic is a method created and incorporated into a machine to make decision similar to human thinking and interpretation. Water treatment from water sources to clean water that suitable for use by humans requires a long process and high-quality control. One important part of the water treatment process is the selection of water input or known as canal intake. In this paper, fuzzy logic is used for decision makers system because of the flexibility and capability to process and interpret many states. The canal intake prototype system able to control canal intake using Atlas Scientific sensors by utilizing IoT communications. The sensor can measure several parameters such as Dissolveed Oxygen (DO), Temperature, pH, and Total Dissolved Oxygen (TDS). From the test results obrained the system can control the canal intake based on raw water quality accurately 100% in accordance with predetermined water standards.","PeriodicalId":266335,"journal":{"name":"2018 6th International Conference on Information and Communication Technology (ICoICT)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Automation Canal Intake Control System Using Fuzzy Logic and Internet of Things (IoT)\",\"authors\":\"Radityo Putro Wibisono, N. Suwastika, Sidik Prabowo, Tri Djoko Santoso\",\"doi\":\"10.1109/ICOICT.2018.8528756\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Internet of Things (IoT) is a concept that aims to expand the benefits of continously connected internet connectivity, IoT offers several benefits, including the ability to provide real-time data, perform process optimization, optimize resource usage, instant control and instant response, and many other things. While fuzzy logic is a method created and incorporated into a machine to make decision similar to human thinking and interpretation. Water treatment from water sources to clean water that suitable for use by humans requires a long process and high-quality control. One important part of the water treatment process is the selection of water input or known as canal intake. In this paper, fuzzy logic is used for decision makers system because of the flexibility and capability to process and interpret many states. The canal intake prototype system able to control canal intake using Atlas Scientific sensors by utilizing IoT communications. The sensor can measure several parameters such as Dissolveed Oxygen (DO), Temperature, pH, and Total Dissolved Oxygen (TDS). From the test results obrained the system can control the canal intake based on raw water quality accurately 100% in accordance with predetermined water standards.\",\"PeriodicalId\":266335,\"journal\":{\"name\":\"2018 6th International Conference on Information and Communication Technology (ICoICT)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 6th International Conference on Information and Communication Technology (ICoICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOICT.2018.8528756\",\"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 6th International Conference on Information and Communication Technology (ICoICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOICT.2018.8528756","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automation Canal Intake Control System Using Fuzzy Logic and Internet of Things (IoT)
Internet of Things (IoT) is a concept that aims to expand the benefits of continously connected internet connectivity, IoT offers several benefits, including the ability to provide real-time data, perform process optimization, optimize resource usage, instant control and instant response, and many other things. While fuzzy logic is a method created and incorporated into a machine to make decision similar to human thinking and interpretation. Water treatment from water sources to clean water that suitable for use by humans requires a long process and high-quality control. One important part of the water treatment process is the selection of water input or known as canal intake. In this paper, fuzzy logic is used for decision makers system because of the flexibility and capability to process and interpret many states. The canal intake prototype system able to control canal intake using Atlas Scientific sensors by utilizing IoT communications. The sensor can measure several parameters such as Dissolveed Oxygen (DO), Temperature, pH, and Total Dissolved Oxygen (TDS). From the test results obrained the system can control the canal intake based on raw water quality accurately 100% in accordance with predetermined water standards.