摘要
针对养殖水质检测与调控的实际需求,提出了一种基于NB-IoT(Narrow Band-Internet of things,窄带物联网)和无人船巡检技术的水质检测与调节物联网系统。通过将无人船作为移动水质感知节点采集养殖水质信息,然后通过NB-IoT无线通信技术将数据上传至OneNET云平台,最终将水质信息可视化呈现在终端的Web界面;同时设计了以水质调节设备为核心的水质调节节点,通过NB-IoT无线通信模块接收终端下发的控制指令,完成对水质设备的调控。结果显示:无人船可以根据用户的指令,进行自动路径规划并实时发回当前水域的温度、浊度、硝酸盐、铵离子含量、溶氧和pH等参数,并且在Web应用中可以实时查看水质数据和专家系统给出的养殖建议,可在线控制增氧机和换水泵等设备,对水质进行调节。研究表明,本系统满足了养殖场水质多点巡检与调节的需求,具有一定的应用前景。
According to the actual needs of aquaculture water quality monitoring and regulation,a water quality monitoring and regulation system is proposed based on narrow-band Internet of things(NB-IoT)and unmanned ship inspection technology.The unmanned ship is used as a mobile water quality sensing node to collect aquaculture water quality information,and then uploads the data to the OneNET cloud platform through NB-IoT wireless communication technology,and finally the water quality information is visualized on the web interface of the terminal.At the same time,a water quality adjustment node with water quality adjustment equipment as the core is designed,and the control instructions issued by the terminal are received through the NB-IoT wireless communication module to complete the adjustment of the water quality equipment.The experimental results show that the unmanned ship can automatically plan the path according to the user's instructions,and send back the currently measured water temperature,turbidity,nitrate content,ammonia nitrogen content,dissolved oxygen and pH value in real time.Meanwhile,in the web application,water quality data and aquaculture suggestions given by the expert system are readily accessible,and equipment such as aerators and water exchange pumps can be controlled online to adjust water quality.The research shows that this system meets the needs of multi-point inspection and adjustment of water quality in aquaculture farms,and has considerable application prospects.
作者
李昕聪
余紫扬
刘璞
张烈山
LI Xincong;YU Ziyang;LIU Pu;ZHANG Lieshan(Faculty of Mechanical Engineering&Automation,Zhejiang Sci-Tech University,Hangzhou 310018,China)
出处
《渔业现代化》
CSCD
2022年第1期72-81,共10页
Fishery Modernization
基金
浙江省基础公益研究计划项目(LGF21F050004)。
关键词
水质检测
无人船
水产养殖
物联网
专家系统
water quality measurement
aquaculture
unmanned ship
Internet of Things
expert system