基于无人船的水质监测及控制系统设计
Design of mobile water quality data monitoring system based on unmanned ship
  
DOI:
中文关键词:  水质数据  定点、分层采水  无人船  无线传输
英文关键词:water quality data  Spot and layer water collection  unmanned ship  wireless transmission
基金项目:
作者单位
王柏林 1中国华云气象科技集团公司北京100081 
唐梦奇 2南京信息工程大学自动化学院江苏南京210044 
李佳 1中国华云气象科技集团公司北京100081 
刘云平 2南京信息工程大学自动化学院江苏南京210044 
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中文摘要:
      针对执行水质监测任务过程中固定浮标监测站单点监测的局限性、船载观测人员取样耗时耗力等问题,本文设计了一种搭载多点、分层自动采水取样装置的智能无人船水质监测系统,可实现目标水域的多点、分层连续水质数据测量及取样。该智能无人船具备基于快速随机树(Rapid Random Tree)算法的自主避障和快速路径规划功能,解决了现有无人船技术存在的多障碍自主路径规划难等问题。同时,本设计结合了ARM9控制芯片、M5310无线传输模块,通过可视化的显示界面和远程WEB访问的功能,大大提升了科研人员及时处理特殊情况便捷性。通过实验测试及比对分析,证明本设计具有智能高效、稳定可靠等优点,能够满足职能部门对于水质监测工作的需要。
英文摘要:
      In the process of water quality monitoring, the sampling time and energy consumption of shipborne observers are limited by single point monitoring of fixed buoy monitoring station, This paper designs an intelligent unmanned vessel water quality monitoring system equipped with multi-point layered automatic water sampling device, The multi-point stratified continuous water quality data measurement and sampling can be achieved. The intelligent unmanned ship is capable of autonomous obstacle avoidance and fast path planning based on the Rapid Random Tree algorithm, It solves the problems of multi-obstacle autonomous path planning and so on existing unmanned ship technology. At the same time, this design combines ARM9 control chip M5310 wireless transmission module, Through the function of visual display interface and remote WEB access, it greatly improves the convenience of scientific researchers to deal with special cases in time. Through experimental testing and comparative analysis, it is proved that this design has the advantages of intelligent, efficient, stable and reliable, and can meet the needs of functional departments for water quality monitoring.
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