Marcelly Homem Coelho, Vinicius Ferri Pereira, Edilene Cristiano de Figuere Valeriano, L. Frigo, Eliane Pozzebon
{"title":"模糊控制在嵌入式传感养蜂监测系统中的应用","authors":"Marcelly Homem Coelho, Vinicius Ferri Pereira, Edilene Cristiano de Figuere Valeriano, L. Frigo, Eliane Pozzebon","doi":"10.1109/CLEI.2018.00033","DOIUrl":null,"url":null,"abstract":"In the activity of beekeeping, there are routine reviews, production anagement, in some eventuality it is necessary for the beekeeper to intervene. For this intervention, the hives must be opened. The opening for inspection should be done only when necessary and in order to interfere as little as possible in the activity of the colonies. Due to the fact that the openings cause wear to the swarm, since, during the revisions, usually occurs honey consumption, bee mortality and exposure of the pictures to the environment. The objective of the article is to analyze the temperature and internal humidity, smoke index and the meteorological conditions associated with the apiary. Based on this objective, the following questions arise: How to monitor the hive? And how to generate knowledge with the data collected? In order to answer the questions an embedded system was developed consisting of internal and external sensing modules for the hives. While the question of generating knowledge with the collected data was developed a computational model used the software MATLAB. From the obtained results, it can be concluded that the Fuzzy Logic is applicable in the treatment of data with multiple values and that the developed system helps the beekeepers to extract several information without the need to influence the work of the colonies.","PeriodicalId":379986,"journal":{"name":"2018 XLIV Latin American Computer Conference (CLEI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Application of Fuzzy Control in Embedded Sensing Systems for Beekeeping Monitoring\",\"authors\":\"Marcelly Homem Coelho, Vinicius Ferri Pereira, Edilene Cristiano de Figuere Valeriano, L. Frigo, Eliane Pozzebon\",\"doi\":\"10.1109/CLEI.2018.00033\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the activity of beekeeping, there are routine reviews, production anagement, in some eventuality it is necessary for the beekeeper to intervene. For this intervention, the hives must be opened. The opening for inspection should be done only when necessary and in order to interfere as little as possible in the activity of the colonies. Due to the fact that the openings cause wear to the swarm, since, during the revisions, usually occurs honey consumption, bee mortality and exposure of the pictures to the environment. The objective of the article is to analyze the temperature and internal humidity, smoke index and the meteorological conditions associated with the apiary. Based on this objective, the following questions arise: How to monitor the hive? And how to generate knowledge with the data collected? In order to answer the questions an embedded system was developed consisting of internal and external sensing modules for the hives. While the question of generating knowledge with the collected data was developed a computational model used the software MATLAB. From the obtained results, it can be concluded that the Fuzzy Logic is applicable in the treatment of data with multiple values and that the developed system helps the beekeepers to extract several information without the need to influence the work of the colonies.\",\"PeriodicalId\":379986,\"journal\":{\"name\":\"2018 XLIV Latin American Computer Conference (CLEI)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 XLIV Latin American Computer Conference (CLEI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CLEI.2018.00033\",\"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 XLIV Latin American Computer Conference (CLEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CLEI.2018.00033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Fuzzy Control in Embedded Sensing Systems for Beekeeping Monitoring
In the activity of beekeeping, there are routine reviews, production anagement, in some eventuality it is necessary for the beekeeper to intervene. For this intervention, the hives must be opened. The opening for inspection should be done only when necessary and in order to interfere as little as possible in the activity of the colonies. Due to the fact that the openings cause wear to the swarm, since, during the revisions, usually occurs honey consumption, bee mortality and exposure of the pictures to the environment. The objective of the article is to analyze the temperature and internal humidity, smoke index and the meteorological conditions associated with the apiary. Based on this objective, the following questions arise: How to monitor the hive? And how to generate knowledge with the data collected? In order to answer the questions an embedded system was developed consisting of internal and external sensing modules for the hives. While the question of generating knowledge with the collected data was developed a computational model used the software MATLAB. From the obtained results, it can be concluded that the Fuzzy Logic is applicable in the treatment of data with multiple values and that the developed system helps the beekeepers to extract several information without the need to influence the work of the colonies.