{"title":"用于工厂状态监测的嵌入式模糊逻辑微控制器:无线传感器网络奥德赛","authors":"Malusi Sibiya, M. Sumbwanyambe","doi":"10.1109/ROBOMECH.2019.8704748","DOIUrl":null,"url":null,"abstract":"Recent developments in the area of wireless sensor monitoring and application can be categorized into various areas such as building monitoring, crop condition monitoring and more recently in the usage of driverless cars. Also, WSNs have been applied in areas such as environmental monitoring, traffic control and energy management. Even there has been a broad application of WSN in different fields, the application of WSN with fuzzy decision-based rules has not been applied widely in some areas and more so in green house crop management and condition monitoring. To that effect, it is necessary to develop a system based on design science research (DSR) that will monitor the condition of the plant. i.e. temperature, humidity and water. As such, this paper designs and discusses a wireless sensor network that would monitor the greenhouse conditions using fuzzy decision rules. The results showed that the system was capable of providing a low cost, environmental monitoring system and to an extent control the level of humidity and monitor temperature conditions.","PeriodicalId":344332,"journal":{"name":"2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An Embedded Fuzzy Logic Microcontroller For Plant Condition Monitoring: A Wireless Sensor Network Odyssey\",\"authors\":\"Malusi Sibiya, M. Sumbwanyambe\",\"doi\":\"10.1109/ROBOMECH.2019.8704748\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recent developments in the area of wireless sensor monitoring and application can be categorized into various areas such as building monitoring, crop condition monitoring and more recently in the usage of driverless cars. Also, WSNs have been applied in areas such as environmental monitoring, traffic control and energy management. Even there has been a broad application of WSN in different fields, the application of WSN with fuzzy decision-based rules has not been applied widely in some areas and more so in green house crop management and condition monitoring. To that effect, it is necessary to develop a system based on design science research (DSR) that will monitor the condition of the plant. i.e. temperature, humidity and water. As such, this paper designs and discusses a wireless sensor network that would monitor the greenhouse conditions using fuzzy decision rules. The results showed that the system was capable of providing a low cost, environmental monitoring system and to an extent control the level of humidity and monitor temperature conditions.\",\"PeriodicalId\":344332,\"journal\":{\"name\":\"2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROBOMECH.2019.8704748\",\"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 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBOMECH.2019.8704748","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Embedded Fuzzy Logic Microcontroller For Plant Condition Monitoring: A Wireless Sensor Network Odyssey
Recent developments in the area of wireless sensor monitoring and application can be categorized into various areas such as building monitoring, crop condition monitoring and more recently in the usage of driverless cars. Also, WSNs have been applied in areas such as environmental monitoring, traffic control and energy management. Even there has been a broad application of WSN in different fields, the application of WSN with fuzzy decision-based rules has not been applied widely in some areas and more so in green house crop management and condition monitoring. To that effect, it is necessary to develop a system based on design science research (DSR) that will monitor the condition of the plant. i.e. temperature, humidity and water. As such, this paper designs and discusses a wireless sensor network that would monitor the greenhouse conditions using fuzzy decision rules. The results showed that the system was capable of providing a low cost, environmental monitoring system and to an extent control the level of humidity and monitor temperature conditions.