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基于LEACH協(xié)議的水產養(yǎng)殖參數(shù)智能監(jiān)控系統(tǒng)
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國家自然科學基金資助項目(51176016)和江蘇省科技支撐計劃資助項目(BE2013005-3)


Intelligent Monitoring System of Aquaculture Parameters Based on LEACH Protocol
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    摘要:

    提出了基于LEACH(Low energy adaptive clustering hierarchy)協(xié)議的水產養(yǎng)殖溶解氧參數(shù)低功耗無線測量網(wǎng)絡和溶解氧濃度的智能變頻控制技術。無線傳感網(wǎng)絡中簇首對測量節(jié)點的數(shù)據(jù)先進行融合,,然后發(fā)送到基站,。針對水體溶解氧參數(shù)變化緩慢的特點,,規(guī)定在每一幀內變化小于0.1mg/L時,,不再向簇首發(fā)送數(shù)據(jù),。簇首調整各節(jié)點在該幀內數(shù)據(jù)發(fā)送時隙,,延長簇首和節(jié)點的休眠時間,,降低了功耗,。PLC根據(jù)溶解氧參數(shù)的變化一方面通過變頻器控制葉輪增氧機,,在白天水體溶解氧質量濃度大于5.0mg/L時,葉輪增氧機低速“耕水”,,充分利用自然界的風能,、光能和藻類的光合作用改善水質;另一方面當溶解氧質量濃度低于5.0mg/L下限時,,采用模糊變頻控制迅速縮小誤差,,在接近控制目標后,變頻器輸出穩(wěn)定,。通過試驗驗證,,相對于人工粗略控制,節(jié)約電能42.3%以上,,產量提高11.8%,,綜合經(jīng)濟收益提高41.3%。

    Abstract:

    Low-power wireless measurement network of dissolved oxygen concentration based on LEACH (Low energy adaptive clustering hierarchy)protocol and intelligent inverter control in aquaculture were introduced. In LEACH protocol, the measured data were fused by the cluster head and then sent to the base station. As the dissolved oxygen concentration changed slowly,,it was set that when changes in dissolved oxygen concentration were less than 0.1mg/L, node was no longer send data to the cluster head in each frame. Simultaneously head node adjusted the transmission slot of each node in the frame. Sleep time of cluster head and node was extended and power consumption was reduced. When dissolved oxygen concentration was not less than 5.0mg/L during the day, PLC controlled aerator automatically “farming water” at low speed through inverter. That fully took advantage of natural wind energy, solar energy and algae photosynthesis to improve water quality. When the dissolved oxygen concentration was less than 5.0mg/L, fuzzy variable frequency control was used to reduce errors rapidly. When approaching the control target value, the inverter outputted stability to ensure the stable operation of the aerator motor. Statistics show that this control method saved more than 42.3% of the electricity, increased the production by 11.8% and increased the comprehensive economic gains by 41.3%.

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蔣建明,史國棟,趙德安,李正明,史 兵,趙以鋼.基于LEACH協(xié)議的水產養(yǎng)殖參數(shù)智能監(jiān)控系統(tǒng)[J].農業(yè)機械學報,2014,45(11):286-291. Jiang Jianming, Shi Guodong, Zhao Dean, Li Zhengming, Shi Bing, Zhao Yigang. Intelligent Monitoring System of Aquaculture Parameters Based on LEACH Protocol[J]. Transactions of the Chinese Society for Agricultural Machinery,2014,45(11):286-291.

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  • 收稿日期:2013-11-19
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  • 在線發(fā)布日期: 2014-11-10
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