Chang-Wei Hsieh, Y. J. Tsai, Corine Stefanie, Charles C. N. Wang, Wen-Thong Chang
{"title":"The Preliminary Design of Water Quality Monitor System for the Ecological Pond based on LoRaWAN","authors":"Chang-Wei Hsieh, Y. J. Tsai, Corine Stefanie, Charles C. N. Wang, Wen-Thong Chang","doi":"10.1109/IS3C50286.2020.00100","DOIUrl":null,"url":null,"abstract":"In the modern aquaculture, diverse environmental sensing in the application of intelligent monitoring system is receiving more and more attention. To monitor the water quality of aquaculture ponds, we design and develop a water quality monitoring system based on LoRaWAN. LPWAN (Low Power Wide Area Network) occupies an important place in IoT communication technology. LoRa (Low Range) is also one of the technologies, with the advantages of long distance and low power consumption which can extend the service life of power supply equipment. In this paper, a system realizes remote collection and data storage of multi-sensor processor information (temperature, pH, conductivity and turbidity levels). The LoRa gateway and Raspberry Pi are implemented to transfer the aquaculture field parameters into the database and presented on the Website. With the remote monitoring screen, users can keep tracking changes of water quality and make timely adjustments without going in and out of the aquaculture site frequently.","PeriodicalId":143430,"journal":{"name":"2020 International Symposium on Computer, Consumer and Control (IS3C)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Symposium on Computer, Consumer and Control (IS3C)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IS3C50286.2020.00100","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In the modern aquaculture, diverse environmental sensing in the application of intelligent monitoring system is receiving more and more attention. To monitor the water quality of aquaculture ponds, we design and develop a water quality monitoring system based on LoRaWAN. LPWAN (Low Power Wide Area Network) occupies an important place in IoT communication technology. LoRa (Low Range) is also one of the technologies, with the advantages of long distance and low power consumption which can extend the service life of power supply equipment. In this paper, a system realizes remote collection and data storage of multi-sensor processor information (temperature, pH, conductivity and turbidity levels). The LoRa gateway and Raspberry Pi are implemented to transfer the aquaculture field parameters into the database and presented on the Website. With the remote monitoring screen, users can keep tracking changes of water quality and make timely adjustments without going in and out of the aquaculture site frequently.