- 期刊
水產養殖無線感知嵌入式系統之研究
Development of the Wireless Embedded System for Aquaculture
摘要
本研究為『水產養殖無線感知嵌入式系統之研究』，臺灣位於亞熱帶地區，受地理環境與極端氣候變異影響，常有高溫、寒流與颱風等情況發生，導致沿海地區魚塭常有海水倒灌、水災與魚群大量暴斃，以致水產養殖業損失慘重，漁民們血本無歸。此外，剩餘的投餌飼料及養殖生物的代謝產物，其富含之有機物及無機物，亦是影響養殖水體之重要因素。現今從事水產養殖業人員逐漸高齡化，人力缺乏，水產養殖技術斷層。然而，在日新月異之電腦科技與感測技術發展下，本研究將自主發展與建立無線感知系統於水產養殖環境，以LabVIEW建立嵌入式系統（Embedded System）－包含中央處理系統與水質監測平台系統，中央處理系統以NI myRIO平台為硬體設備，水質監測平台系統則以Arduino板和pH值、溫度、溶氧量與鹽度感測器之軟硬體溝通，讀取各項水質參數，並建立XBee雙向無線傳輸，以使中央處理系統與水質監測平台系統可相互無線傳輸，將水質監測平台系統所擷取之數據，傳至中央處理系統進行儲存與分析，最後將中央處理系統資料庫內之資料即時顯示，可使水產養殖人員即時得知水產養殖環境之水質狀況。本研究透過感測器即時量測水產養殖環境之狀況，可對水產養殖環境進行觀察、監測及管理，協助水產養殖人員提早準備、判斷與適時調整飼養方式，提高漁產品產量與品質，大幅降低災害風險的發生。
並列摘要
This study is to develop the wireless sensing embedded system for aquaculture. Taiwan is located in a subtropical region, affected by geographical environment and extreme climate variability. There are often extremely high and cold temperature. In addition, typhoons usually occur in summer every year. Seawater intrusions and floods in coastal areas result in large number of fish died, so aquaculture industry and fishermen bear severe economic losses. Moreover, the remaining feeds and metabolites rich of organic and inorganic materials can significantly affect the aquaculture environment. Also, the aquaculture industry gradually become aging, lack of manpower, aquaculture technique will face challenges. However, with the development of computer technology and sensing technique, the wireless sensing embedded system will be developed and established in the aquaculture environment. In this study, the central processing system and water quality monitoring platform system are established by LabVIEW software. A central processing system is set up by NI myRIO platform as hardware device. The water quality monitoring platform system is set up by Arduino board and pH, temperature, dissolved oxygen and salinity sensors as software and hardware communication. Read the various water quality parameters and establish XBee wireless transmission so that a central processing system and water quality monitoring platform system can communicate with each other. Data obtained from the water quality monitoring platform system are transmitted to the central processing system for storage and analysis. Finally, the data in the central processing system can display instantly and the aquaculture personnel can be aware of the water quality of the aquaculture environment. In this study, the status of the aquaculture environment can immediately be observed, monitored and managed via sensors. Therefore, it is helpful to assist aquaculture personnel to prepare, judge and adjust their feeding methods in advance. The wireless sensing embedded system can improve the production and quality of fish products and significantly reduce the occurrence of disaster risks.