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箱網養殖物聯網智慧感控技術之開發

  • 日期:108-02-12
  • 計畫編號:108農科-13.2.8-水-A2
  • 年度:2019
  • 領域:智慧科技農業
  • 主持人:張致銜
  • 研究人員:翁進興、何珈欣、藍揚麒、賴繼昌、陳郁凱、余淑楓、黃 星翰

    本研究目標針對海洋箱網養殖所面臨之最適投餵、箱網環境監控與省工需求等 問題進行相關技術開發與評估。首先,箱網精準投餵及生物動態監測系統於7/24- 25、8/15-16及11/11-12進行箱網魚群攝食與魚群影像辨識監控管理測試。以7月 25日投餵水面水花偵測演算法測試結果,投餵前段其統計資料 large Splash:比起投餵後段large Splash:有明顯差異。可推測於餵食後段 ,較多數魚群已逐漸吃飽或進食慾望下降而導致水花噴濺程度下降。其次,在海洋 養殖箱網智慧水文環境監測系統應用,以7/25為例:平均溫度 (28.16°C)、比導電 度 (52.09 mS/cm)、總溶解固體 (33.86 ppm)、鹽度(34.2)。最後,在自動省工機 具之國外應用技術,以物理性機械清洗法較為安全可靠且低汙染,現有之物理性機 械清潔法主要有陸上滾筒式洗網機、整合性洗網機、高壓水沖洗法和網片清洗機。 本研究期望達到節省操作與監控人力、降低養殖生產成本,進一步達精準投餵管理 ,以維持最適養殖生物生長與箱網環境。

研究報告摘要(英)


This study is to focus on the marine cage culture industrial problem of optimal feeding, monitoring cage environment, and labor-saving. The surface and underwater precision feeding monitoring system was tested on July 24-25, August 15-16, and November 11-12. The objective is to carry out image recognition monitoring and management for the fish feeding and fish school of the cage culture. Based on the test results of the water spray detection algorithm on July 25th, the statistical data of large splash: in the first stage of feeding were significantly different from large splash: in the latter stage of feeding. It can be speculated that after feeding, most of the fish have gradually become full or the appetite for feeding has decreased, resulting in a decrease in the degree of splashing. Secondly, in the intelligent hydrological environment monitoring system of marine aquaculture nets, take July 25 as an example: average temperature (28.16 ° C), specific conductivity (52.09 mS / cm), total dissolved solids (33.86 ppm), and salinity ( 34.2).Finally, in the foreign applied technology of automatic laborsaving tools, the physical mechanical cleaning method is relatively safe, reliable and low pollution. The existing physical mechanical cleaning methods mainly include drum type net washing machines, integrated screen washing machines, high-pressure water washing methods and mesh cleaning machines. The study is expected to save manpower, reduce the cost of aquaculture production, and further achieve accurate feeding management to maintain the optimal fish growth and cage culture environment.