首页 | 本学科首页   官方微博 | 高级检索  
     

水产养殖水质检测与控制技术研究进展分析
引用本文:尹宝全,曹闪闪,傅泽田,白雪冰. 水产养殖水质检测与控制技术研究进展分析[J]. 农业机械学报, 2019, 50(2): 1-13
作者姓名:尹宝全  曹闪闪  傅泽田  白雪冰
作者单位:中国农业大学烟台研究院;中国农业大学信息与电气工程学院;中国农业大学工学院;食品质量与安全北京实验室
基金项目:国家重点研发计划项目(2017YFE0111200)和“十二五”农村领域国家科技计划项目(2015BAD17B04-5)
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。

关 键 词:水产养殖  水质  预测  监测
收稿时间:2018-12-11

Review and Trend Analysis of Water Quality Monitoring and Control Technology in Aquaculture
YIN Baoquan,CAO Shanshan,FU Zetian and BAI Xuebing. Review and Trend Analysis of Water Quality Monitoring and Control Technology in Aquaculture[J]. Transactions of the Chinese Society for Agricultural Machinery, 2019, 50(2): 1-13
Authors:YIN Baoquan  CAO Shanshan  FU Zetian  BAI Xuebing
Affiliation:China Agricultural University,China Agricultural University,China Agricultural University and China Agricultural University
Abstract: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.
Keywords:aquaculture  water quality  prediction  monitoring
本文献已被 CNKI 等数据库收录!
点击此处可从《农业机械学报》浏览原始摘要信息
点击此处可从《农业机械学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号