水产养殖水质检测与控制技术研究进展分析
|
摘要
水质的实时监测和调控是水产养殖过程中的关键环节,是保证水产品品质的重要措施。本文在总结和整理现有国内外研究成果的基础上,结合国内水产养殖多为池塘、网箱等封闭水质环境的特点,对水产养殖水质监测与控制系统的典型架构、水质重要参数的检测技术、水质监测与控制系统的通信技术和智能控制技术进行了分析和讨论。提出了未来技术发展方向:实时在线的水质监测和传感技术将成为研究的重点方向;水质参数的预测仍将是水质监测技术的重点研究方向,其中非线性预测模型是水质预测模型构建的主流方法;结合数据融合技术的多参数传感器正成为研究热点;低功耗广域网将成为水产养殖水质监控系统主流的远程通信技术。
The real-time monitoring and control is an essential part of aquaculture,which is one of the important measures to ensure quality safety of aquatic products. After summarizing and collating the existing domestic and foreign research literature,according to the characteristic that domestic aquaculture is mostly in the closed water quality environment,such as ponds and cages,the typical structure of aquaculture water quality monitoring system, the monitoring technology of water quality, the communication technology and intelligent control technology of water quality monitoring system were summarized and compared. The results showed that the real-time online water quality monitoring and sensing technology would be the focus of research. The research of multi-parameter sensor technology based on data fusion would become a research hotspot. The prediction of water quality parameters remained the focus of water quality monitoring research,and nonlinear modeling was the main method for water quality prediction modeling. The low power wan( LPWAN) would soon become the mainstream remote communication mode in aquaculture water quality monitoring system.
The real-time monitoring and control is an essential part of aquaculture,which is one of the important measures to ensure quality safety of aquatic products. After summarizing and collating the existing domestic and foreign research literature,according to the characteristic that domestic aquaculture is mostly in the closed water quality environment,such as ponds and cages,the typical structure of aquaculture water quality monitoring system, the monitoring technology of water quality, the communication technology and intelligent control technology of water quality monitoring system were summarized and compared. The results showed that the real-time online water quality monitoring and sensing technology would be the focus of research. The research of multi-parameter sensor technology based on data fusion would become a research hotspot. The prediction of water quality parameters remained the focus of water quality monitoring research,and nonlinear modeling was the main method for water quality prediction modeling. The low power wan( LPWAN) would soon become the mainstream remote communication mode in aquaculture water quality monitoring system.
引文
[1]BOSMA R H,VERDEGEM M C J.Sustainable aquaculture in ponds:principles,practices and limits[J].Livestock Science,2011,139(1-2):58-68.
[2]SHAREEF Z,REDDY S R N.Wireless sensor network for aquaculture:review,survey,and case study of aquaculture practices in western Godavari region[J].Journal of Ambient Intelligence and Smart Environments,2018,10(5):409-423.
[3]OTTINGER M,CLAUSS K,KUENZER C.Aquaculture:relevance,distribution,impacts and spatial assessments-a review[J].Ocean&Coastal Management,2016,119:244-266.
[4]ZHOU C,XU D,LIN K,et al.Intelligent feeding control methods in aquaculture with an emphasis on fish:a review[J].Reviews in Aquaculture,2017,10(4):1-19.
[5]余粮红,郑珊,高强.国外海水养殖生态经济系统协调模式及其对中国的启示[J].世界农业,2018(7):112-120.
[6]侯海燕,鞠晓晖,陈雨生.国外深海网箱养殖业发展动态及其对中国的启示[J].世界农业,2017(5):162-166.
[7]JANSEN H M,REID G K,BANNISTER R J,et al.Discrete water quality sampling at open-water aquaculture sites:limitations and strategies[J].Aquaculture Environment Interactions,2016,8:463-480.
[8]闫国琦,倪小辉,莫嘉嗣.深远海养殖装备技术研究现状与发展趋势[J].大连海洋大学学报,2018,33(1):123-129.YAN Guoqi,NI Xiaohui,MO Jiasi.Research status and development tendency of deep sea aquaculture equipment:a review[J].Journal of Dalian Ocean University,2018,33(1):123-129.(in Chinese)
[9]刘碧涛,王艺颖.深海养殖装备现状及我国发展策略[J].船舶物资与市场,2018(2):39-44.
[10]方建光,李钟杰,蒋增杰,等.水产生态养殖与新养殖模式发展战略研究[J].中国工程科学,2016(3):22-28.FANG Jianguang,LI Zhongjie,JIANG Zengjie,et al.Development strategy for ecological aquaculture and new mode of aquaculture farming[J].Engineering Sciences,2016(3):22-28.(in Chinese)
[11]胡金城,于学权,辛乃宏,等.工厂化循环水养殖研究现状及应用前景[J].中国水产,2017(6):94-97.
[12]关长涛,来琦芳.以色列集约化水产养殖方式与装备介绍[J].渔业现代化,2006(3):24-26.
[13]ZHANG M,LI D,WANG L,et al.Design and development of water quality monitoring system based on wireless sensor network in aquaculture[C]∥International Conference on Computer and Computing Technologies in Agriculture.Springer,Berlin,Heidelberg,2010:629-641.
[14]ZHU X,LI D,HE D,et al.A remote wireless system for water quality online monitoring in intensive fish culture[J].Computers and Electronics in Agriculture,2010,71:S3-S9.
[15]刘雨青,李佳佳,曹守启,等.基于物联网的螃蟹养殖基地监控系统设计及应用[J].农业工程学报,2018,34(16):205-213.LIU Yuqing,LI Jiajia,CAO Shouqi,et al.Design and application of monitoring system for crab breeding based on internet of things[J].Transactions of the CSAE,2018,34(16):205-213.(in Chinese)
[16]MAHALIK N,KIM K.Aquaculture monitoring and control systems for seaweed and fish farming[J].World Journal of Agricultural Research,2014,2(4):176-182.
[17]WANG Z,WANG Q,HAO X.The design of the remote water quality monitoring system based on WSN[C]∥Wireless Communications,Networking and Mobile Computing,Wi Com'09.5th International Conference on.IEEE,2009:1-4.
[18]SIMBEYE D S,YANG S F.Water quality monitoring and control for aquaculture based on wireless sensor networks[J].Journal of Networks,2014,9(4):840-849.
[19]李道亮.物联网与智慧农业[J].农业工程,2012,2(1):1-7.LI Daoliang.Internet of things and wisdom agriculture[J].Agricultural Engineering,2012,2(1):1-7.(in Chinese)
[20]李道亮.农业物联网导论[M].北京:科学出版社,2012.
[21]DUPONT C,WUSSAH A,MALO S,et al.Low-cost Io T solutions for fish farmers in Africa[C]∥2018 IST-Africa Week Conference(IST-Africa).IEEE,2018:1-8.
[22]SIMBEYE D S,ZHAO J,YANG S.Design and deployment of wireless sensor networks for aquaculture monitoring and control based on virtual instruments[J].Computers and Electronics in Agriculture,2014,102:31-42.
[23]BASAVARADDI S B,KOUSAR H,PUTTAIAH E T.Dissolved oxygen concentration-a remarkable indicator of ground water pollution in and around Tiptur town,Tumkur District,Karnataka,India[J].Bull.Env.,Pharm.&Life Sci.,2012,1(3):48-54.
[24]COLT J.Water quality requirements for reuse systems[J].Aquacultural Engineering,2006,34(3):143-156.
[25]廖和琴.基于液滴分析技术的水质检测仪器的设计[D].天津:天津大学,2012.LIAO Heqin.The design of water quality testing instrument based on liquid drop analysis technology[D].Tianjin:Tianjin University,2012.(in Chinese)
[26]WIRANTO G,MAULANA Y Y,HERMIDA I D P,et al.Integrated online water quality monitoring[C]∥Smart Sensors and Application(ICSSA),2015 International Conference on.IEEE,2015:111-115.
[27]高明辉,马立保,葛立安,等.亚硝酸盐在水生动物体内的吸收机制及蓄积的影响因素[J].南方水产科学,2008,4(4):73-79.GAO Minghui,MA Libao,GE Lian,et al.Nitrite uptake mechanism and the influencing factors of accumulation in aquatic animals[J].South China Fisheries Science,2008,4(4):73-79.(in Chinese)
[28]张卫强,朱英.养殖水体中氨氮的危害及其检测方法研究进展[J].环境卫生学杂志,2012(6):324-327.ZHANG Weiqiang,ZHU Ying.Advances on the research of the hazard of ammonia nitrogen in aquaculture water and its determination method[J].Journal of Environmental Hygiene,2012(6):324-327.(in Chinese)
[29]张卫,符伟杰,孙奕,等.水质氨氮测定方法研究进展[J].绿色科技,2017(10):19-21.ZHANG Wei,FU Weijie,SUN Yi,et al.Advances on the research of the determination of ammonia nitrogen in water[J].Journal of Green Science and Technology,2017(10):19-21.(in Chinese)
[30]ZHOU L,BOYD C E.Comparison of Nessler,phenate,salicylate and ion selective electrode procedures for determination of total ammonia nitrogen in aquaculture[J].Aquaculture,2016,450:187-193.
[31]李玉春.基于紫外可见光谱的水下多参数水质检测技术研究[D].天津:天津大学,2012.
[32]孙晨光.面向水产养殖的亚硝酸盐氮在线检测系统研制[D].镇江:江苏大学,2017.SUN Chenguang.Development of on-line detection system for nitrite nitrogen in aquaculture[D].Zhenjiang:Jiangsu University,2017.(in Chinese)
[33]陈颖,马琳.海水中总氮的测定方法比较研究[J].环境监控与预警,2018,10(4):32-36.CHEN Ying,MA Lin.Comparative study on determination of total nitrogen in seawater[J].Environmental Monitoring and Forewarning,2018,10(4):32-36.(in Chinese)
[34]唐慧颖.连续流动分析法测定水中的总磷[J].污染防治技术,2014,27(1):51-54.TANG Huiying.Determination of total phosphorus in water by using continuous flow analysis[J].Pollution Control Technology,2014,27(1):51-54.(in Chinese)
[35]刘建利,张沛,宋蓓,等.连续流动分析法测定水中总磷、总氮比对研究[J].化学研究与应用,2016,28(7):936-941.LIU Jianli,ZHANG Pei,SONG Bei,et al.Comparison study of determination of total phosphorus and total nitrogen in water by continuous flow analysis[J].Chemical Research and Application,2016,28(7):936-941.(in Chinese)
[36]张丹,阳章友,曾一平,等.水体中总磷检测技术研究进展[J].河南化工,2010,27(4):7-8.
[37]胡敬芳,李玥琪,高国伟,等.水质重金属检测技术研究进展[J].传感器世界,2017,23(7):7-15.HU Jingfang,LI Yueqi,GAO Guowei,et al.Research progress in heavy metal detection technologies in water[J].Sensor World,2017,23(7):7-15.(in Chinese)
[38]LOURENO N D,LOPES J A,ALMEIDA C F,et al.Bioreactor monitoring with spectroscopy and chemometrics:a review[J].Analytical and Bioanalytical Chemistry,2012,404(4):1211-1237.
[39]POSTOLACHE O A,GIRO P M B S,PEREIRA J M D,et al.Multibeam optical system and neural processing for turbidity measurement[J].IEEE Sensors Journal,2007,7(5):677-684.
[40]陈超.面向鱼塘浊度检测的WSN节点关键技术研究[D].镇江:江苏大学,2014.CHEN Chao.Research on the key technology of WSN nodes for turbidity detect ion in fish ponds[D].Zhenjiang:Jiangsu University,2014.(in Chinese)
[41]OJEDA C B,ROJAS F S.Process analytical chemistry:applications of ultraviolet/visible spectrometry in environmental analysis:an overview[J].Applied Spectroscopy Reviews,2009,44(3):245-265.
[42]罗国兵.水体化学需氧量的检测方法[J].岩矿测试,2013,32(6):860-874.LUO Guobing.A review on detection methods of chemical oxygen demand in water bodies[J].Rock and Mineral Analysis,2013,32(6):860-874.(in Chinese)
[43]吕正中,谭爱民.化学需氧量测定方法综述[J].工业水处理,2000,20(10):9-11.LZhengzhong,TAN Aimin.Review on the determination of chemical oxygen demand[J].Industrial Water Treatment,2000,20(10):9-11.(in Chinese)
[44]冯国红,裘祖荣,廖和琴,等.基于液滴分析技术检测水中的溶解氧及盐度[J].天津大学学报,2013,45(12):1083-1088.FENG Guohong,QIU Zurong,LIAO Heqin,et al.Droplet analysis technology in detection of dissolved oxygen and salinity in water[J].Journal of Tianjin University,2013,45(12):1083-1088.(in Chinese)
[45]冯国红,裘祖荣,杨慧敏.光电式液滴分析技术定量检测水中的盐度[J].传感器与微系统,2013,32(7):123-125.FENG Guohong,QIU Zurong,YANG Huimin.Quantitative detection on salinity of water by photoelectric droplet analysis technology[J].Transducer and Microsystem Technologies,2013,32(7):123-125.(in Chinese)
[46]FIGUEIRC S M,OLIVEIRA D B D,RUSSO M R.Fish farming water quality monitored by optical analysis the potential application of UV-Vis absorption and fluorescence spectroscopy[J].Aquaculture,2018(490):91-97.
[47]曹泓.基于多源光谱数据融合的水产养殖水质有机物浓度快速检测研究[D].杭州:浙江大学,2014.CAO Hong.Research on rapid determination of organic matter concentration in aquaculture water using multi-sourcespectral data fusion[D].Hangzhou:Zhejiang University,2014.(in Chinese)
[48]CARSTEA E M,BRIDGEMAN J,BAKER A,et al.Fluorescence spectroscopy for wastewater monitoring:a review[J].Water Research,2016,95:205-219.
[49]CARSTEA E M.Fluorescence spectroscopy as a potential tool for in-situ monitoring of dissolved organic matter in surface water systems[M]∥Water pollution.In Tech,2012.
[50]侯迪波,张坚,陈泠,等.基于紫外-可见光光谱的水质分析方法研究进展与应用[J].光谱学与光谱分析,2013,33(7):1839-1844.HOU Dibo,ZHANG Jian,CHEN Lin,et al.Water quality analysis by UV-Vis spectroscopy:a review of methodology and application[J].Spectroscopy and Spectral Analysis,2013,33(7):1839-1844.(in Chinese)
[51]PU H,LIU D,QU J H,et al.Applications of imaging spectrometry in inland water quality monitoring-a review of recent developments[J].Water Air&Soil Pollution,2017,228(4):131.
[52]曾甜玲,温志渝,温中泉,等.基于紫外光谱分析的水质监测技术研究进展[J].光谱学与光谱分析,2013,33(4):1098-1103.ZENG Tianling,WEN Zhiyu,WEN Zhongquan,et al.Research progress in water quality monitoring technology based on ultraviolet spectrum analysis[J].Spectroscopy and Spectral Analysis,2013,33(4):1098-1103.(in Chinese)
[53]HAMBLY A,STEDMON C.FluoRAS sensor-online organic matter for optimising recirculating aquaculture systems[J].Research Ideas and Outcomes,2018,4:e23957.
[54]HAMBLY A C,ARVIN E,PEDERSEN L F,et al.Characterising organic matter in recirculating aquaculture systems with fluorescence EEM spectroscopy[J].Water Research,2015,83:112-120.
[55]王睿,余震虹,鱼瑛.紫外吸收光谱法研究硝酸盐溶液[J].光谱实验室,2009(2):206-209.WANG Rui,YU Zhenhong,YU Ying.Investigation on nitrate solution by ultraviolet absorption spectrometry[J].Chinese Journal of Spectroscopy Laboratory,2009(2):206-209.(in Chinese)
[56]海彩虹.紫外分光光度法测定浓维磷糖浆中的总磷量[J].中国药业,2007,16(19):22-23.HAI Caihong.Determination of total sodium phosphate in concentrated divitamins and sodium phosphate syrup by UV-VIS[J].China Pharmaceuticals,2007,16(19):22-23.(in Chinese)
[57]王斌,杨慧中.一种水质总磷在线检测的光谱数据处理方法[J].激光与光电子学进展,2015,52(4):236-241.WANG Bin,YANG Huizhong.A processing method for spectral data of online total phosphorus detection in water[J].Laser&Optoelectronics Progress,2015,52(4):236-241.(in Chinese)
[58]杜艳红,张伟玉,杨仁杰,等.基于可见-近红外光谱的水质p H值分析[J].湖北农业科学,2012,51(3):612-614.DU Yanhong,ZHANG Weiyu,YANG Renjie,et al.Analysis on p H in water by visible-near infrared spectroscopy[J].Hubei Agricultural Sciences,2012,51(3):612-614.(in Chinese)
[59]李鑫星,朱晨光,周婧,等.光谱技术在水产养殖水质监测中的应用进展及趋势[J].农业工程学报,2018,34(19):184-194.LI Xinxing,ZHU Chenguang,ZHOU Jing,et al.Review and trend of water quality detection in aquaculture by spectroscopy technique[J].Transactions of the CSAE,2018,34(19):184-194.(in Chinese)
[60]EICHHORN M,AMENT C,JACOBI M,et al.Modular AUV system with integrated real-time water quality analysis[J].Sensors,2018,18(6):18-37.
[61]JAIME L.Underwater sensor nodes and networks[J].Sensors,2013,13(9):11782-11796.
[62]SENDRA S,PARRA L,LLORET J,et al.Oceanographic multisensor buoy based on low cost sensors for Posidonia meadows monitoring in Mediterranean Sea[J].Journal of Sensors,2015,15:1-23.
[63]SENDRA S,LLORET J,JIMENEZ J M,et al.Underwater acoustic modems[J].IEEE Sensors Journal,2016,16(11):4063-4071.
[64]PARRA L,LLORET G,LLORET J,et al.Physical sensors for precision aquaculture:a review[J].IEEE Sensors Journal,2018,18(10):3915-3923.
[65]PARRA L,SENDRA S,LLORET J,et al.Design and deployment of a smart system for data gathering in aquaculture tanks using wireless sensor networks[J].International Journal of Communication Systems,2017,30(16):e3335.
[66]单慧勇,田云臣,张仲雄,等.水产养殖多点水质监测与传感器清洁装置设计[J].渔业现代化,2018(3):15-21.SHAN Huiyong,TIAN Yunchen,ZHANG Zhongxiong,et al.Multi-point water quality monitoring and sensor cleaning device design in aquaculture[J].Fishery Modernization,2018(3):15-21.(in Chinese)
[67]CHEN J H,SUNG W T,LIN G Y.Automated monitoring system for the fish farm aquaculture environment[C]∥Systems,Man,and Cybernetics(SMC),2015 IEEE International Conference on.IEEE,2015:1161-1166.
[68]HDER D P,HELBLING E W,WILLIAMSON C E,et al.Effects of UV radiation on aquatic ecosystems and interactions with climate change[J].Photochemical&Photobiological Sciences,2011,10(2):242-260.
[69]POPPER A N,FEWTRELL J,SMITH M E,et al.Anthropogenic sound:effects on the behavior and physiology of fishes[J].Marine Technology Society Journal,2003,37(4):35-40.
[70]HMAN M C,SIGRAY P,WESTERBERG H.Offshore windmills and the effects of electromagnetic fields on fish[J].AMBIO:A Journal of the Human Environment,2007,36(8):630-633.
[71]DA SILVA L,YANG Z,PIRES N,et al.Monitoring aquaculture water quality:design of an early warning sensor with a liivibriofischeri and predictive models[J].Sensors,2018,18(9):1-16.
[72]黎洪松,刘俊.水质检测传感器研究的新进展[J].传感器与微系统,2012(3):11-14.LI Hongsong,LIU Jun.New progress of study of water quality monitoring sensors[J].Transducer and Microsystem Technologies,2012(3):11-14.(in Chinese)
[73]王小格.基于WSN的循环水养殖多参数巡回监控系统研制[D].镇江:江苏大学,2016.WANG Xiaoge.Development of multi-parameter circuit monitoring system in recirculating aquaculture based on WSN[D].Zhenjiang:Jiangsu University,2016.(in Chinese)
[74]段青玲,刘怡然,张璐,等.水产养殖大数据技术研究进展与发展趋势分析[J/OL].农业机械学报,2018,49(6):1-16.DUN Qingling,LIU Yiran,ZHANG Lu,et al.State-of-the-art review for application of big data technology in aquaculture[J/OL].Transactions of the Chinese Society for Agricultural Machinery,2018,49(6):1-16.http:∥www.j-csam.org/jcsam/ch/reader/view_abstract.aspx?flag=1&file_no=20180601&journal_id=jcsam.DOI:10.6041/j.issn.1000-1298.2018.06.001.(in Chinese)
[75]王魏,邓长辉,关晓燕,等.水产养殖溶氧浓度软测量模型研究进展[J].渔业现代化,2015(6):26-30.WANG Wei,DENG Changhui,GUAN Xiaoyan,et al.Research progress on the soft-sensing model fordissolved oxygen in aquaculture[J].Fishery Modernization,2015(6):26-30.(in Chinese)
[76]吕苏娜.基于ARIMA-DBN的水质参数预测模型研究[D].上海:上海海洋大学,2017.LSuna.Study on the model of water quality prediction based on ARIMA-DBN[D].Shanghai:Shanghai Ocean University,2017.(in Chinese)
[77]SUN Y,LI D,DU S,et al.WSN-based intelligent detection and control of dissolved oxygen in crab culture[J].Sensor Letters,2013,11(6-7):1050-1054.
[78]RANKOVI'C V,RADULOVI'C J,RADOJEVI'C I,et al.Neural network modeling of dissolved oxygen in the Gru6a reservoir,Serbia[J].Ecological Modelling,2010,221(8):1239-1244.
[79]CHEN W,LIU W.Artificial neural network modeling of dissolved oxygen in reservoir[J].Environmental Monitoring and Assessment,2014,186(2):1203-1217.
[80]CSBRGI A,MOLNR S,TANOS P,et al.Application of artificial neural networks to the forecasting of dissolved oxygen content in the Hungarian section of the river Danube[J].Ecological Engineering,2017,100:63-72.
[81]OLYAIE E,ABYANEH H Z,MEHR A D.A comparative analysis among computational intelligence techniques for dissolved oxygen prediction in Delaware River[J].Geoscience Frontiers,2017,8(3):517-527.
[82]LIU S,TAI H,DING Q,et al.A hybrid approach of support vector regression with genetic algorithm optimization for aquaculture water quality prediction[J].Mathematical and Computer Modelling,2013,58(3-4):458-465.
[83]BASANT N,GUPTA S,MALIK A,et al.Linear and nonlinear modeling for simultaneous prediction of dissolved oxygen and biochemical oxygen demand of the surface water-a case study[J].Chemometrics and Intelligent Laboratory Systems,2010,104(2):172-180.
[84]AHMED A A M.Prediction of dissolved oxygen in Surma River by biochemical oxygen demand and chemical oxygen demand using the artificial neural networks(ANNs)[J].Journal of King Saud University(Engineering Sciences),2017,29(2):151-158.
[85]XU Z,XU Y J.A deterministic model for predicting hourly dissolved oxygen change:development and application to a shallow eutrophic lake[J].Water,2016,8(2):41.
[86]丁金婷,臧泽林,黄敏.模糊方法改进的反向传输神经网络预测南美白对虾养殖的水质[J].浙江大学学报(农业与生命科学版),2017,43(1):128-136.DING Jinting,ZANG Zelin,HUANG Min.Penaeusvannamei aquaculture water quality prediction based on the improved back propagation neural network[J].Journal of Zhejiang University(Agriculture&Life Sciences),2017,43(1):128-136.(in Chinese)
[87]徐大明,周超,孙传恒,等.基于粒子群优化BP神经网络的水产养殖水温及p H预测模型[J].渔业现代化,2016,43(1):24-29.XU Daming,ZHOU Chao,SUN Chuanheng,et al.Prediction model of aquaculture water temperature and p H based on BPneural network optimized by particle swarm algorithm[J].Fishery Modernization,2016,43(1):24-29.(in Chinese)
[88]李道亮,杨昊.农业物联网技术研究进展与发展趋势分析[J/OL].农业机械学报,2018,49(1):1-20.LI Daoliang,YANG Hao.State-of-the-art review for internet of things in agriculture[J/OL].Transactions of the Chinese Society for Agricultural Machinery,2018,49(1):1-20.http:∥www.j-csam.org/jcsam/ch/reader/view_abstract.aspx?flag=1&file_no=20180101&journal_id=jcsam.DOI:10.6041/j.issn.1000-1298.2018.01.001.(in Chinese)
[89]CHANDANAPALLI S B,REDDY E S,RAJYA L D.Efficient design and deployment of aqua monitoring systems using WSNs and correlation analysis[J].International Journal of Computers Communications&Control,2015,10(4):471-479.
[90]王英杰.基于物联网的水产养殖测控系统的设计与实现[D].镇江:江苏大学,2017.WANG Yingjie.Design and implementation of measurement and control system of aquaculture based on Io T[D].Zhenjiang:Jiangsu University,2017.(in Chinese)
[91]赵小欢.基于WSN的水产养殖水质在线监测系统设计[D].哈尔滨:哈尔滨理工大学,2014.ZHAO Xiaohuan.The design of water quality monitoring system in aquaculture based on wireless networks[D].Harbin:Harbin University of Science and Technology,2014.(in Chinese)
[92]黄建清,王卫星,姜晟,等.基于无线传感器网络的水产养殖水质监测系统开发与试验[J].农业工程学报,2013,29(4):183-190.HUANG Jianqing,WANG Weixing,JIANG Sheng,et al.Development and test of aquacultural water quality monitoring system based on wireless sensor network[J].Transactions of the CSAE,2013,29(4):183-190.(in Chinese)
[93]WU Q,LIANG Y,SUN Y,et al.Application of GPRS technology in water quality monitoring system[C]∥World Automation Congress,2010.
[94]胡金有,王靖杰,张小栓,等.水产养殖信息化关键技术研究现状与趋势[J/OL].农业机械学报,2015,46(7):251-263.HU Jinyou,WANG Jingjie,ZHANG Xiaoshuan,et al.Research status and development trends of information technologies in aquacultures[J/OL].Transactions of the Chinese Society for Agricultural Machinery,2015,46(7):251-263.http:∥www.jcsam.org/jcsam/ch/reader/view_abstract.aspx?flag=1&file_no=20150737&journal_id=jcsam.DOI:10.6041/j.issn.1000-1298.2015.07.037.(in Chinese)
[95]刘世晶,唐荣,周海燕,等.基于信息化水环境监测的养殖水体调控技术[J].渔业现代化,2015,42(6):31-36.LIU Shijing,TANG Rong,ZHOU Haiyan,et al.The aquaculture water control technology based on informationized monitoring technology of water environment[J].Fishery Modernization,2015,42(6):31-36.(in Chinese)
[96]杨家朋,刘兴国,顾兆俊,等.养殖池塘水质改良设备研究综述[J].江西水产科技,2017(2):32-34.
[97]李明.浙江省水产养殖机械化现状及机械装备需求[J].农业工程,2016,6(1):1-4.LI Ming.Current situation of mechanization production and requirement of mechanized equipments about aquaculture industry in Zhejiang Province[J].Agricultural Engineering,2016,6(1):1-4.(in Chinese)
[98]房燕,韩世成,蒋树义,等.工厂化水产养殖中的增氧技术[J].水产学杂志,2012,25(2):56-61.FANG Yan,HAN Shicheng,JIANG Shuyi,et al.Techniques of increase in dissolved oxygen level in an industrial aquaculture system[J].Chinese Journal of Fisheries,2012,25(2):56-61.(in Chinese)
[99]陈有光,段登选,陈秀丽,等.工厂化养鱼中氧气锥的增氧规律[J].渔业现代化,2009,36(3):26-30.CHEN Youguang,DUAN Dengxuan,CHEN Xiuli,et al.Study on the oxygen increasing law of oxygen cone in industrialized fish farming system[J].Fishery Modernization,2009,36(3):26-30.(in Chinese)
[100]赖年悦,杨粤首,魏泽能.基于物联网的池塘高产养殖水质智能调控技术[J].水产养殖,2013,34(5):36-39.
[101]韩世成,曹广斌,蒋树义,等.工厂化水产养殖中的水处理技术[J].水产学杂志,2009,22(3):54-59.HAN Shicheng,CAO Guangbin,JIANG Shuyi,et al.Water treatment technology in recirculating aquaculture system[J].Chinese Journal of Fisheries,2009,22(3):54-59.(in Chinese)
[102]王德望,赵敏.污水处理系统溶解氧的BP-PID控制算法[J].软件导刊,2018,17(2):68-70,73.WANG Dewang,ZHAO Min.BP-PID control algorithm for dissolved oxygen in sewage treatment system[J].Software Guide,2018,17(2):68-70,73.(in Chinese)
[103]魏坤鹏.灰色预测和聚类融合理论在水质检测控制中的应用[D].天津:天津工业大学,2017.
[104]黄一心,徐皓,丁建乐.我国离岸水产养殖设施装备发展研究[J].渔业现代化,2016,43(2):76-81.HUANG Yixin,XU Hao,DING Jianle.Research on the development of offshore aquaculture facilities and equipment in China[J].Fishery Modernization,2016,43(2):76-81.(in Chinese)
[105]CHU J X,WEI G,HUI H.Parameters measurment of marine power system based on multi-sensors data fusion theory[C]∥Communications&Signal Processing.IEEE,2011.
[2]SHAREEF Z,REDDY S R N.Wireless sensor network for aquaculture:review,survey,and case study of aquaculture practices in western Godavari region[J].Journal of Ambient Intelligence and Smart Environments,2018,10(5):409-423.
[3]OTTINGER M,CLAUSS K,KUENZER C.Aquaculture:relevance,distribution,impacts and spatial assessments-a review[J].Ocean&Coastal Management,2016,119:244-266.
[4]ZHOU C,XU D,LIN K,et al.Intelligent feeding control methods in aquaculture with an emphasis on fish:a review[J].Reviews in Aquaculture,2017,10(4):1-19.
[5]余粮红,郑珊,高强.国外海水养殖生态经济系统协调模式及其对中国的启示[J].世界农业,2018(7):112-120.
[6]侯海燕,鞠晓晖,陈雨生.国外深海网箱养殖业发展动态及其对中国的启示[J].世界农业,2017(5):162-166.
[7]JANSEN H M,REID G K,BANNISTER R J,et al.Discrete water quality sampling at open-water aquaculture sites:limitations and strategies[J].Aquaculture Environment Interactions,2016,8:463-480.
[8]闫国琦,倪小辉,莫嘉嗣.深远海养殖装备技术研究现状与发展趋势[J].大连海洋大学学报,2018,33(1):123-129.YAN Guoqi,NI Xiaohui,MO Jiasi.Research status and development tendency of deep sea aquaculture equipment:a review[J].Journal of Dalian Ocean University,2018,33(1):123-129.(in Chinese)
[9]刘碧涛,王艺颖.深海养殖装备现状及我国发展策略[J].船舶物资与市场,2018(2):39-44.
[10]方建光,李钟杰,蒋增杰,等.水产生态养殖与新养殖模式发展战略研究[J].中国工程科学,2016(3):22-28.FANG Jianguang,LI Zhongjie,JIANG Zengjie,et al.Development strategy for ecological aquaculture and new mode of aquaculture farming[J].Engineering Sciences,2016(3):22-28.(in Chinese)
[11]胡金城,于学权,辛乃宏,等.工厂化循环水养殖研究现状及应用前景[J].中国水产,2017(6):94-97.
[12]关长涛,来琦芳.以色列集约化水产养殖方式与装备介绍[J].渔业现代化,2006(3):24-26.
[13]ZHANG M,LI D,WANG L,et al.Design and development of water quality monitoring system based on wireless sensor network in aquaculture[C]∥International Conference on Computer and Computing Technologies in Agriculture.Springer,Berlin,Heidelberg,2010:629-641.
[14]ZHU X,LI D,HE D,et al.A remote wireless system for water quality online monitoring in intensive fish culture[J].Computers and Electronics in Agriculture,2010,71:S3-S9.
[15]刘雨青,李佳佳,曹守启,等.基于物联网的螃蟹养殖基地监控系统设计及应用[J].农业工程学报,2018,34(16):205-213.LIU Yuqing,LI Jiajia,CAO Shouqi,et al.Design and application of monitoring system for crab breeding based on internet of things[J].Transactions of the CSAE,2018,34(16):205-213.(in Chinese)
[16]MAHALIK N,KIM K.Aquaculture monitoring and control systems for seaweed and fish farming[J].World Journal of Agricultural Research,2014,2(4):176-182.
[17]WANG Z,WANG Q,HAO X.The design of the remote water quality monitoring system based on WSN[C]∥Wireless Communications,Networking and Mobile Computing,Wi Com'09.5th International Conference on.IEEE,2009:1-4.
[18]SIMBEYE D S,YANG S F.Water quality monitoring and control for aquaculture based on wireless sensor networks[J].Journal of Networks,2014,9(4):840-849.
[19]李道亮.物联网与智慧农业[J].农业工程,2012,2(1):1-7.LI Daoliang.Internet of things and wisdom agriculture[J].Agricultural Engineering,2012,2(1):1-7.(in Chinese)
[20]李道亮.农业物联网导论[M].北京:科学出版社,2012.
[21]DUPONT C,WUSSAH A,MALO S,et al.Low-cost Io T solutions for fish farmers in Africa[C]∥2018 IST-Africa Week Conference(IST-Africa).IEEE,2018:1-8.
[22]SIMBEYE D S,ZHAO J,YANG S.Design and deployment of wireless sensor networks for aquaculture monitoring and control based on virtual instruments[J].Computers and Electronics in Agriculture,2014,102:31-42.
[23]BASAVARADDI S B,KOUSAR H,PUTTAIAH E T.Dissolved oxygen concentration-a remarkable indicator of ground water pollution in and around Tiptur town,Tumkur District,Karnataka,India[J].Bull.Env.,Pharm.&Life Sci.,2012,1(3):48-54.
[24]COLT J.Water quality requirements for reuse systems[J].Aquacultural Engineering,2006,34(3):143-156.
[25]廖和琴.基于液滴分析技术的水质检测仪器的设计[D].天津:天津大学,2012.LIAO Heqin.The design of water quality testing instrument based on liquid drop analysis technology[D].Tianjin:Tianjin University,2012.(in Chinese)
[26]WIRANTO G,MAULANA Y Y,HERMIDA I D P,et al.Integrated online water quality monitoring[C]∥Smart Sensors and Application(ICSSA),2015 International Conference on.IEEE,2015:111-115.
[27]高明辉,马立保,葛立安,等.亚硝酸盐在水生动物体内的吸收机制及蓄积的影响因素[J].南方水产科学,2008,4(4):73-79.GAO Minghui,MA Libao,GE Lian,et al.Nitrite uptake mechanism and the influencing factors of accumulation in aquatic animals[J].South China Fisheries Science,2008,4(4):73-79.(in Chinese)
[28]张卫强,朱英.养殖水体中氨氮的危害及其检测方法研究进展[J].环境卫生学杂志,2012(6):324-327.ZHANG Weiqiang,ZHU Ying.Advances on the research of the hazard of ammonia nitrogen in aquaculture water and its determination method[J].Journal of Environmental Hygiene,2012(6):324-327.(in Chinese)
[29]张卫,符伟杰,孙奕,等.水质氨氮测定方法研究进展[J].绿色科技,2017(10):19-21.ZHANG Wei,FU Weijie,SUN Yi,et al.Advances on the research of the determination of ammonia nitrogen in water[J].Journal of Green Science and Technology,2017(10):19-21.(in Chinese)
[30]ZHOU L,BOYD C E.Comparison of Nessler,phenate,salicylate and ion selective electrode procedures for determination of total ammonia nitrogen in aquaculture[J].Aquaculture,2016,450:187-193.
[31]李玉春.基于紫外可见光谱的水下多参数水质检测技术研究[D].天津:天津大学,2012.
[32]孙晨光.面向水产养殖的亚硝酸盐氮在线检测系统研制[D].镇江:江苏大学,2017.SUN Chenguang.Development of on-line detection system for nitrite nitrogen in aquaculture[D].Zhenjiang:Jiangsu University,2017.(in Chinese)
[33]陈颖,马琳.海水中总氮的测定方法比较研究[J].环境监控与预警,2018,10(4):32-36.CHEN Ying,MA Lin.Comparative study on determination of total nitrogen in seawater[J].Environmental Monitoring and Forewarning,2018,10(4):32-36.(in Chinese)
[34]唐慧颖.连续流动分析法测定水中的总磷[J].污染防治技术,2014,27(1):51-54.TANG Huiying.Determination of total phosphorus in water by using continuous flow analysis[J].Pollution Control Technology,2014,27(1):51-54.(in Chinese)
[35]刘建利,张沛,宋蓓,等.连续流动分析法测定水中总磷、总氮比对研究[J].化学研究与应用,2016,28(7):936-941.LIU Jianli,ZHANG Pei,SONG Bei,et al.Comparison study of determination of total phosphorus and total nitrogen in water by continuous flow analysis[J].Chemical Research and Application,2016,28(7):936-941.(in Chinese)
[36]张丹,阳章友,曾一平,等.水体中总磷检测技术研究进展[J].河南化工,2010,27(4):7-8.
[37]胡敬芳,李玥琪,高国伟,等.水质重金属检测技术研究进展[J].传感器世界,2017,23(7):7-15.HU Jingfang,LI Yueqi,GAO Guowei,et al.Research progress in heavy metal detection technologies in water[J].Sensor World,2017,23(7):7-15.(in Chinese)
[38]LOURENO N D,LOPES J A,ALMEIDA C F,et al.Bioreactor monitoring with spectroscopy and chemometrics:a review[J].Analytical and Bioanalytical Chemistry,2012,404(4):1211-1237.
[39]POSTOLACHE O A,GIRO P M B S,PEREIRA J M D,et al.Multibeam optical system and neural processing for turbidity measurement[J].IEEE Sensors Journal,2007,7(5):677-684.
[40]陈超.面向鱼塘浊度检测的WSN节点关键技术研究[D].镇江:江苏大学,2014.CHEN Chao.Research on the key technology of WSN nodes for turbidity detect ion in fish ponds[D].Zhenjiang:Jiangsu University,2014.(in Chinese)
[41]OJEDA C B,ROJAS F S.Process analytical chemistry:applications of ultraviolet/visible spectrometry in environmental analysis:an overview[J].Applied Spectroscopy Reviews,2009,44(3):245-265.
[42]罗国兵.水体化学需氧量的检测方法[J].岩矿测试,2013,32(6):860-874.LUO Guobing.A review on detection methods of chemical oxygen demand in water bodies[J].Rock and Mineral Analysis,2013,32(6):860-874.(in Chinese)
[43]吕正中,谭爱民.化学需氧量测定方法综述[J].工业水处理,2000,20(10):9-11.LZhengzhong,TAN Aimin.Review on the determination of chemical oxygen demand[J].Industrial Water Treatment,2000,20(10):9-11.(in Chinese)
[44]冯国红,裘祖荣,廖和琴,等.基于液滴分析技术检测水中的溶解氧及盐度[J].天津大学学报,2013,45(12):1083-1088.FENG Guohong,QIU Zurong,LIAO Heqin,et al.Droplet analysis technology in detection of dissolved oxygen and salinity in water[J].Journal of Tianjin University,2013,45(12):1083-1088.(in Chinese)
[45]冯国红,裘祖荣,杨慧敏.光电式液滴分析技术定量检测水中的盐度[J].传感器与微系统,2013,32(7):123-125.FENG Guohong,QIU Zurong,YANG Huimin.Quantitative detection on salinity of water by photoelectric droplet analysis technology[J].Transducer and Microsystem Technologies,2013,32(7):123-125.(in Chinese)
[46]FIGUEIRC S M,OLIVEIRA D B D,RUSSO M R.Fish farming water quality monitored by optical analysis the potential application of UV-Vis absorption and fluorescence spectroscopy[J].Aquaculture,2018(490):91-97.
[47]曹泓.基于多源光谱数据融合的水产养殖水质有机物浓度快速检测研究[D].杭州:浙江大学,2014.CAO Hong.Research on rapid determination of organic matter concentration in aquaculture water using multi-sourcespectral data fusion[D].Hangzhou:Zhejiang University,2014.(in Chinese)
[48]CARSTEA E M,BRIDGEMAN J,BAKER A,et al.Fluorescence spectroscopy for wastewater monitoring:a review[J].Water Research,2016,95:205-219.
[49]CARSTEA E M.Fluorescence spectroscopy as a potential tool for in-situ monitoring of dissolved organic matter in surface water systems[M]∥Water pollution.In Tech,2012.
[50]侯迪波,张坚,陈泠,等.基于紫外-可见光光谱的水质分析方法研究进展与应用[J].光谱学与光谱分析,2013,33(7):1839-1844.HOU Dibo,ZHANG Jian,CHEN Lin,et al.Water quality analysis by UV-Vis spectroscopy:a review of methodology and application[J].Spectroscopy and Spectral Analysis,2013,33(7):1839-1844.(in Chinese)
[51]PU H,LIU D,QU J H,et al.Applications of imaging spectrometry in inland water quality monitoring-a review of recent developments[J].Water Air&Soil Pollution,2017,228(4):131.
[52]曾甜玲,温志渝,温中泉,等.基于紫外光谱分析的水质监测技术研究进展[J].光谱学与光谱分析,2013,33(4):1098-1103.ZENG Tianling,WEN Zhiyu,WEN Zhongquan,et al.Research progress in water quality monitoring technology based on ultraviolet spectrum analysis[J].Spectroscopy and Spectral Analysis,2013,33(4):1098-1103.(in Chinese)
[53]HAMBLY A,STEDMON C.FluoRAS sensor-online organic matter for optimising recirculating aquaculture systems[J].Research Ideas and Outcomes,2018,4:e23957.
[54]HAMBLY A C,ARVIN E,PEDERSEN L F,et al.Characterising organic matter in recirculating aquaculture systems with fluorescence EEM spectroscopy[J].Water Research,2015,83:112-120.
[55]王睿,余震虹,鱼瑛.紫外吸收光谱法研究硝酸盐溶液[J].光谱实验室,2009(2):206-209.WANG Rui,YU Zhenhong,YU Ying.Investigation on nitrate solution by ultraviolet absorption spectrometry[J].Chinese Journal of Spectroscopy Laboratory,2009(2):206-209.(in Chinese)
[56]海彩虹.紫外分光光度法测定浓维磷糖浆中的总磷量[J].中国药业,2007,16(19):22-23.HAI Caihong.Determination of total sodium phosphate in concentrated divitamins and sodium phosphate syrup by UV-VIS[J].China Pharmaceuticals,2007,16(19):22-23.(in Chinese)
[57]王斌,杨慧中.一种水质总磷在线检测的光谱数据处理方法[J].激光与光电子学进展,2015,52(4):236-241.WANG Bin,YANG Huizhong.A processing method for spectral data of online total phosphorus detection in water[J].Laser&Optoelectronics Progress,2015,52(4):236-241.(in Chinese)
[58]杜艳红,张伟玉,杨仁杰,等.基于可见-近红外光谱的水质p H值分析[J].湖北农业科学,2012,51(3):612-614.DU Yanhong,ZHANG Weiyu,YANG Renjie,et al.Analysis on p H in water by visible-near infrared spectroscopy[J].Hubei Agricultural Sciences,2012,51(3):612-614.(in Chinese)
[59]李鑫星,朱晨光,周婧,等.光谱技术在水产养殖水质监测中的应用进展及趋势[J].农业工程学报,2018,34(19):184-194.LI Xinxing,ZHU Chenguang,ZHOU Jing,et al.Review and trend of water quality detection in aquaculture by spectroscopy technique[J].Transactions of the CSAE,2018,34(19):184-194.(in Chinese)
[60]EICHHORN M,AMENT C,JACOBI M,et al.Modular AUV system with integrated real-time water quality analysis[J].Sensors,2018,18(6):18-37.
[61]JAIME L.Underwater sensor nodes and networks[J].Sensors,2013,13(9):11782-11796.
[62]SENDRA S,PARRA L,LLORET J,et al.Oceanographic multisensor buoy based on low cost sensors for Posidonia meadows monitoring in Mediterranean Sea[J].Journal of Sensors,2015,15:1-23.
[63]SENDRA S,LLORET J,JIMENEZ J M,et al.Underwater acoustic modems[J].IEEE Sensors Journal,2016,16(11):4063-4071.
[64]PARRA L,LLORET G,LLORET J,et al.Physical sensors for precision aquaculture:a review[J].IEEE Sensors Journal,2018,18(10):3915-3923.
[65]PARRA L,SENDRA S,LLORET J,et al.Design and deployment of a smart system for data gathering in aquaculture tanks using wireless sensor networks[J].International Journal of Communication Systems,2017,30(16):e3335.
[66]单慧勇,田云臣,张仲雄,等.水产养殖多点水质监测与传感器清洁装置设计[J].渔业现代化,2018(3):15-21.SHAN Huiyong,TIAN Yunchen,ZHANG Zhongxiong,et al.Multi-point water quality monitoring and sensor cleaning device design in aquaculture[J].Fishery Modernization,2018(3):15-21.(in Chinese)
[67]CHEN J H,SUNG W T,LIN G Y.Automated monitoring system for the fish farm aquaculture environment[C]∥Systems,Man,and Cybernetics(SMC),2015 IEEE International Conference on.IEEE,2015:1161-1166.
[68]HDER D P,HELBLING E W,WILLIAMSON C E,et al.Effects of UV radiation on aquatic ecosystems and interactions with climate change[J].Photochemical&Photobiological Sciences,2011,10(2):242-260.
[69]POPPER A N,FEWTRELL J,SMITH M E,et al.Anthropogenic sound:effects on the behavior and physiology of fishes[J].Marine Technology Society Journal,2003,37(4):35-40.
[70]HMAN M C,SIGRAY P,WESTERBERG H.Offshore windmills and the effects of electromagnetic fields on fish[J].AMBIO:A Journal of the Human Environment,2007,36(8):630-633.
[71]DA SILVA L,YANG Z,PIRES N,et al.Monitoring aquaculture water quality:design of an early warning sensor with a liivibriofischeri and predictive models[J].Sensors,2018,18(9):1-16.
[72]黎洪松,刘俊.水质检测传感器研究的新进展[J].传感器与微系统,2012(3):11-14.LI Hongsong,LIU Jun.New progress of study of water quality monitoring sensors[J].Transducer and Microsystem Technologies,2012(3):11-14.(in Chinese)
[73]王小格.基于WSN的循环水养殖多参数巡回监控系统研制[D].镇江:江苏大学,2016.WANG Xiaoge.Development of multi-parameter circuit monitoring system in recirculating aquaculture based on WSN[D].Zhenjiang:Jiangsu University,2016.(in Chinese)
[74]段青玲,刘怡然,张璐,等.水产养殖大数据技术研究进展与发展趋势分析[J/OL].农业机械学报,2018,49(6):1-16.DUN Qingling,LIU Yiran,ZHANG Lu,et al.State-of-the-art review for application of big data technology in aquaculture[J/OL].Transactions of the Chinese Society for Agricultural Machinery,2018,49(6):1-16.http:∥www.j-csam.org/jcsam/ch/reader/view_abstract.aspx?flag=1&file_no=20180601&journal_id=jcsam.DOI:10.6041/j.issn.1000-1298.2018.06.001.(in Chinese)
[75]王魏,邓长辉,关晓燕,等.水产养殖溶氧浓度软测量模型研究进展[J].渔业现代化,2015(6):26-30.WANG Wei,DENG Changhui,GUAN Xiaoyan,et al.Research progress on the soft-sensing model fordissolved oxygen in aquaculture[J].Fishery Modernization,2015(6):26-30.(in Chinese)
[76]吕苏娜.基于ARIMA-DBN的水质参数预测模型研究[D].上海:上海海洋大学,2017.LSuna.Study on the model of water quality prediction based on ARIMA-DBN[D].Shanghai:Shanghai Ocean University,2017.(in Chinese)
[77]SUN Y,LI D,DU S,et al.WSN-based intelligent detection and control of dissolved oxygen in crab culture[J].Sensor Letters,2013,11(6-7):1050-1054.
[78]RANKOVI'C V,RADULOVI'C J,RADOJEVI'C I,et al.Neural network modeling of dissolved oxygen in the Gru6a reservoir,Serbia[J].Ecological Modelling,2010,221(8):1239-1244.
[79]CHEN W,LIU W.Artificial neural network modeling of dissolved oxygen in reservoir[J].Environmental Monitoring and Assessment,2014,186(2):1203-1217.
[80]CSBRGI A,MOLNR S,TANOS P,et al.Application of artificial neural networks to the forecasting of dissolved oxygen content in the Hungarian section of the river Danube[J].Ecological Engineering,2017,100:63-72.
[81]OLYAIE E,ABYANEH H Z,MEHR A D.A comparative analysis among computational intelligence techniques for dissolved oxygen prediction in Delaware River[J].Geoscience Frontiers,2017,8(3):517-527.
[82]LIU S,TAI H,DING Q,et al.A hybrid approach of support vector regression with genetic algorithm optimization for aquaculture water quality prediction[J].Mathematical and Computer Modelling,2013,58(3-4):458-465.
[83]BASANT N,GUPTA S,MALIK A,et al.Linear and nonlinear modeling for simultaneous prediction of dissolved oxygen and biochemical oxygen demand of the surface water-a case study[J].Chemometrics and Intelligent Laboratory Systems,2010,104(2):172-180.
[84]AHMED A A M.Prediction of dissolved oxygen in Surma River by biochemical oxygen demand and chemical oxygen demand using the artificial neural networks(ANNs)[J].Journal of King Saud University(Engineering Sciences),2017,29(2):151-158.
[85]XU Z,XU Y J.A deterministic model for predicting hourly dissolved oxygen change:development and application to a shallow eutrophic lake[J].Water,2016,8(2):41.
[86]丁金婷,臧泽林,黄敏.模糊方法改进的反向传输神经网络预测南美白对虾养殖的水质[J].浙江大学学报(农业与生命科学版),2017,43(1):128-136.DING Jinting,ZANG Zelin,HUANG Min.Penaeusvannamei aquaculture water quality prediction based on the improved back propagation neural network[J].Journal of Zhejiang University(Agriculture&Life Sciences),2017,43(1):128-136.(in Chinese)
[87]徐大明,周超,孙传恒,等.基于粒子群优化BP神经网络的水产养殖水温及p H预测模型[J].渔业现代化,2016,43(1):24-29.XU Daming,ZHOU Chao,SUN Chuanheng,et al.Prediction model of aquaculture water temperature and p H based on BPneural network optimized by particle swarm algorithm[J].Fishery Modernization,2016,43(1):24-29.(in Chinese)
[88]李道亮,杨昊.农业物联网技术研究进展与发展趋势分析[J/OL].农业机械学报,2018,49(1):1-20.LI Daoliang,YANG Hao.State-of-the-art review for internet of things in agriculture[J/OL].Transactions of the Chinese Society for Agricultural Machinery,2018,49(1):1-20.http:∥www.j-csam.org/jcsam/ch/reader/view_abstract.aspx?flag=1&file_no=20180101&journal_id=jcsam.DOI:10.6041/j.issn.1000-1298.2018.01.001.(in Chinese)
[89]CHANDANAPALLI S B,REDDY E S,RAJYA L D.Efficient design and deployment of aqua monitoring systems using WSNs and correlation analysis[J].International Journal of Computers Communications&Control,2015,10(4):471-479.
[90]王英杰.基于物联网的水产养殖测控系统的设计与实现[D].镇江:江苏大学,2017.WANG Yingjie.Design and implementation of measurement and control system of aquaculture based on Io T[D].Zhenjiang:Jiangsu University,2017.(in Chinese)
[91]赵小欢.基于WSN的水产养殖水质在线监测系统设计[D].哈尔滨:哈尔滨理工大学,2014.ZHAO Xiaohuan.The design of water quality monitoring system in aquaculture based on wireless networks[D].Harbin:Harbin University of Science and Technology,2014.(in Chinese)
[92]黄建清,王卫星,姜晟,等.基于无线传感器网络的水产养殖水质监测系统开发与试验[J].农业工程学报,2013,29(4):183-190.HUANG Jianqing,WANG Weixing,JIANG Sheng,et al.Development and test of aquacultural water quality monitoring system based on wireless sensor network[J].Transactions of the CSAE,2013,29(4):183-190.(in Chinese)
[93]WU Q,LIANG Y,SUN Y,et al.Application of GPRS technology in water quality monitoring system[C]∥World Automation Congress,2010.
[94]胡金有,王靖杰,张小栓,等.水产养殖信息化关键技术研究现状与趋势[J/OL].农业机械学报,2015,46(7):251-263.HU Jinyou,WANG Jingjie,ZHANG Xiaoshuan,et al.Research status and development trends of information technologies in aquacultures[J/OL].Transactions of the Chinese Society for Agricultural Machinery,2015,46(7):251-263.http:∥www.jcsam.org/jcsam/ch/reader/view_abstract.aspx?flag=1&file_no=20150737&journal_id=jcsam.DOI:10.6041/j.issn.1000-1298.2015.07.037.(in Chinese)
[95]刘世晶,唐荣,周海燕,等.基于信息化水环境监测的养殖水体调控技术[J].渔业现代化,2015,42(6):31-36.LIU Shijing,TANG Rong,ZHOU Haiyan,et al.The aquaculture water control technology based on informationized monitoring technology of water environment[J].Fishery Modernization,2015,42(6):31-36.(in Chinese)
[96]杨家朋,刘兴国,顾兆俊,等.养殖池塘水质改良设备研究综述[J].江西水产科技,2017(2):32-34.
[97]李明.浙江省水产养殖机械化现状及机械装备需求[J].农业工程,2016,6(1):1-4.LI Ming.Current situation of mechanization production and requirement of mechanized equipments about aquaculture industry in Zhejiang Province[J].Agricultural Engineering,2016,6(1):1-4.(in Chinese)
[98]房燕,韩世成,蒋树义,等.工厂化水产养殖中的增氧技术[J].水产学杂志,2012,25(2):56-61.FANG Yan,HAN Shicheng,JIANG Shuyi,et al.Techniques of increase in dissolved oxygen level in an industrial aquaculture system[J].Chinese Journal of Fisheries,2012,25(2):56-61.(in Chinese)
[99]陈有光,段登选,陈秀丽,等.工厂化养鱼中氧气锥的增氧规律[J].渔业现代化,2009,36(3):26-30.CHEN Youguang,DUAN Dengxuan,CHEN Xiuli,et al.Study on the oxygen increasing law of oxygen cone in industrialized fish farming system[J].Fishery Modernization,2009,36(3):26-30.(in Chinese)
[100]赖年悦,杨粤首,魏泽能.基于物联网的池塘高产养殖水质智能调控技术[J].水产养殖,2013,34(5):36-39.
[101]韩世成,曹广斌,蒋树义,等.工厂化水产养殖中的水处理技术[J].水产学杂志,2009,22(3):54-59.HAN Shicheng,CAO Guangbin,JIANG Shuyi,et al.Water treatment technology in recirculating aquaculture system[J].Chinese Journal of Fisheries,2009,22(3):54-59.(in Chinese)
[102]王德望,赵敏.污水处理系统溶解氧的BP-PID控制算法[J].软件导刊,2018,17(2):68-70,73.WANG Dewang,ZHAO Min.BP-PID control algorithm for dissolved oxygen in sewage treatment system[J].Software Guide,2018,17(2):68-70,73.(in Chinese)
[103]魏坤鹏.灰色预测和聚类融合理论在水质检测控制中的应用[D].天津:天津工业大学,2017.
[104]黄一心,徐皓,丁建乐.我国离岸水产养殖设施装备发展研究[J].渔业现代化,2016,43(2):76-81.HUANG Yixin,XU Hao,DING Jianle.Research on the development of offshore aquaculture facilities and equipment in China[J].Fishery Modernization,2016,43(2):76-81.(in Chinese)
[105]CHU J X,WEI G,HUI H.Parameters measurment of marine power system based on multi-sensors data fusion theory[C]∥Communications&Signal Processing.IEEE,2011.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |