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基于機器魚(yú)的內陸湖泊水質(zhì)在線(xiàn)監測系統設計
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(1.合肥職業(yè)技術(shù)學(xué)院 信息中心,合肥 238000;2.安徽斯瑪特物聯(lián)網(wǎng)科技有限公司,合肥 231000)

作者簡(jiǎn)介:

童曉紅(1965-),男,安徽合肥人,工學(xué)碩士,副教授,研究方向為物聯(lián)網(wǎng)技術(shù)與應用[FQ)]

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安徽省自然科學(xué)研究重點(diǎn)基金項目(KJ2014A219)


Design on Monitoring System for Inland Lake Water Quality Based on Robotic Fish
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(1.Information Center,Hefei Vocational and Technical College,Hefei 238000,China;2.Anhui Smart Internet of things Technology Co., Ltd.,Hefei 231000,China)

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    摘要:

    僅依賴(lài)無(wú)線(xiàn)傳感器網(wǎng)絡(luò )在線(xiàn)實(shí)測是利用多跳式通信實(shí)現遠程發(fā)送與存儲數據丟包率高,實(shí)驗階段設計的二維結構仿真機器魚(yú)巡游避障性能差,GPRS全天候數據采集與傳送所需的流量費用高,針對以上這些問(wèn)題,設計了一套可進(jìn)行實(shí)測的機器魚(yú)自動(dòng)巡游避障、水質(zhì)環(huán)境實(shí)時(shí)監測系統平臺;該系統通過(guò)移動(dòng)終端程序設計、利用三維采集路徑跟蹤算法及WSNs與Wifi熱點(diǎn)技術(shù)對機器魚(yú)群實(shí)現遠程精準控制,按照設定深度、路徑規劃的采集點(diǎn)進(jìn)行水溫水位、PH值、溶解氧、電導率、濁度等常五類(lèi)水質(zhì)環(huán)境數據實(shí)時(shí)采集、處理、遠程存儲、顯示、分析及預警,給出了系統的總體設計、機器魚(yú)的結構與控制系統設計、終端節點(diǎn)與協(xié)調器的硬件系統及上下位機軟件系統設計;利用這套系統對巢湖5個(gè)取樣點(diǎn)實(shí)測,水溫、溶解氧、PH值平均誤差率分別為0.18%、0.5%及0.01%,遠高于其他水質(zhì)在線(xiàn)監測的精度要求,達到了預期成果;同時(shí)對水庫及精細水產(chǎn)養殖業(yè)等水質(zhì)在線(xiàn)監測與預警具有很高的推廣價(jià)值。

    Abstract:

    online measurement of transmission and storage data packet loss rate is high due to the remote multi hop communication rely only onWireless sensor networks. The obstacle avoidance ability of the simulation robot fish in the two-dimensional structural design stage is poor. data acquisition and transmission costs of GPRS traffic is high all weather.in order to solve the above problems, a set of rea-time monitoring system of water quality for automatic obstacle avoidance is designed. the system is designed by using the mobile terminal program, using 3D acquisition path tracking algorithm and WSNs and Wifi hot spot technology to realize the precise control of the robot fish, according the set depth and planning of acquisition point, achieve five water quality environmental datas including of water level and temperature, pH, dissolved oxygen, conductivity, turbidity, etc in real-time acquisition, processing, remote storage, display, analysis and warning. the overall design of the system, the structure and control system design, the hardware system of the terminal node and coordinator, the software design of the upper and lower computer are given.the application of the system to the five sampling points in the Chaohu Lake,the average error rate of water temperature, dissolved oxygen and pH value were 0.18%, 0.5% and 0.01%, respectively,much higher than other water quality on-line monitoring accuracy requirements,to achieve the expected results. It has a very high value for the on-line monitoring and early warning ofreservoir and fine aquaculture.

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引用本文

童曉紅,陳玲,華艷,楊磊.基于機器魚(yú)的內陸湖泊水質(zhì)在線(xiàn)監測系統設計計算機測量與控制[J].,2017,25(5):56-61.

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  • 收稿日期:2017-02-04
  • 最后修改日期:2017-03-13
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  • 在線(xiàn)發(fā)布日期: 2017-05-31
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