摘要
良好的水体水质是池塘健康养殖的基础,为了实现监测和采样的自动化,设计一体化无人水质监测船并进行性能试验。兼顾水质监测与采样需求,对船体结构进行设计,考虑承重和稳性对船舱传感器与采样、电源与控制盒、水样采集瓶功能区进行布局设计,基于双螺旋桨差速驱动模型融合GPS和姿态传感器开发自主巡航控制系统,应用物联网技术集成水质采样控制系统和水质监测数据平台。综合试验结果表明:无人船行驶轨迹准确,监测点位最大偏差量为1.49 m,最小偏差量为0.39 m,平均偏差量为1.003 m;监测及采样功能稳定,可实时回传水体的pH、温度和溶氧数据,6只500 mL水样采集瓶能够实现符合国家标准的水下50 cm精准取样。研究结果为水产养殖全水面水质监控提供一种低成本、高可靠的实施方案。
Favourable water quality is the basis of pond healthy aquaculture.In order to realize the automation of monitoring and sampling,an integrated unmanned water quality monitoring and sampling boat was designed and its performance test was carried out.Considering the requirements of water quality monitoring and sampling,the hull structure was designed,and the layout of the functional areas of water quality sensor,sampling system,power supply,control box,and water sample collection bottles in the cabin was designed considering the load bearing and stability.The autonomous cruise control system was developed based on the differential twin-propellers driven model and the integration of GPS and attitude sensor.The water sampling control system and water quality monitoring data platform were integrated with Internet of Things technology.The comprehensive test results showed that the trajectory of unmanned boat was accurate,the maximum deviation of monitoring point was 1.49 m,the minimum deviation was 0.39 m,and the average deviation was 1.003 m.The water quality monitoring and sampling function was stable,and the pH value,water temperature and dissolved oxygen of water could be returned in real time.Six 500 mL water sampling bottles could collect water samples of underwater 50 cm accurately,which is in line with national standards.The results provide a low-cost and reliable implementation scheme for the whole surface water quality monitoring of aquaculture.
作者
李俊
陈普坤
陈雷雷
张丽珍
胡庆松
LI Jun;CHEN Pukun;CHEN Leilei;ZHANG Lizhen;HU Qingsong(College of Engineering Science and Technology,Shanghai Ocean University,Shanghai 201306,China)
出处
《上海海洋大学学报》
CAS
CSCD
北大核心
2023年第2期405-416,共12页
Journal of Shanghai Ocean University
基金
上海市科技兴农推广项目(沪农科推字〔2018〕第3-3号)
上海市水产动物良种创制与绿色养殖协同创新中心项目(2021科技02-12)
关键词
水质监测
水体采样
无人船
自主导航
water quality monitoring
water sampling
unmanned boat
autonomous navigation