摘要
针对目前水产养殖业中水质监测难、调节难的行业痛点,采用NB-IoT技术,设计并研制了一种水质监测无人艇系统,可实现自主巡航采集水质,并在云端对水质进行实时监测与调节。采用数字罗盘、BD-GPS与IMU进行组合导航实现无人艇自主巡航以及运动数据获取,航行过程中通过pH、浊度、溶解氧传感器采集水质数据,然后通过NB-IoT模块将水质与运动数据上传至OneNET云平台。以溶解氧调节为例,设计水质调节节点接收云平台指令对增氧机进行控制,从而实现水体溶解氧调节。实验结果表明,本系统较好的实现了设计目的与要求,在云端可实时观察水质与运动信息并下发指令控制增氧机调节溶氧含量,远程开启25 min后,溶氧量增加了0.11 mg/L;巡检某面积约为1公顷池塘的9个目标点,平均用时在5 min内,显示出良好的工作性能。
In view of the difficulty of water quality monitoring and regulation in aquaculture industry,a water quality monitoring unmanned vehicle system is designed and developed by using NB-IoT technology,which can realize autonomous cruise collection of water quality and real-time monitoring and regulation of water quality in the cloud platform.The integrated navigation of digital compass,BD-GPS and IMU is used to realize the autonomous cruise and motion data acquisition of the unmanned vehicle.During the navigation,the water quality data is collected by pH,turbidity and dissolved oxygen sensors,and then the water quality and motion data are uploaded to the OneNET cloud platform through NB-IoT module.Taking dissolved oxygen regulation as an example,the water quality regulation node is designed to receive the cloud platform instructions to control the aerator,so as to achieve dissolved oxygen regulation.The experimental results show that the system can achieve the design goals and requirements well.In the cloud platform,the system can observe the water quality and movement information in real time,and issue instructions to control the aerator to adjust the dissolved oxygen content.After 25 minutes of remote opening,the dissolved oxygen content increases by 0.11 mg/L.The system inspects 9 target points of a pond with an area of about 1 hectare,the average time is within 5 minutes,and shows good performance.
作者
张启元
张烈山
兰益成
陈莉
余箫
Zhang Qiyuan;Zhang Lieshan;Lan Yicheng;Chen Li;Yu Xiao(School of Mechanical Engineering&Automation,Zhejiang Sci-Tech University,Hangzhou 310018,China)
出处
《电子测量技术》
北大核心
2021年第7期170-178,共9页
Electronic Measurement Technology
基金
浙江省基础公益研究计划项目(LGF21F050004)
国家级大学生创新创业训练计划项目(201910338022)资助
关键词
水质监测
NB-IoT
无人艇
组合导航
云平台
水质调节
water quality monitoring
NB-IoT
unmanned vehicle
integrated navigation
cloud platform
water quality regulation
