测绘通报 ›› 2020, Vol. 0 ›› Issue (2): 155-159.doi: 10.13474/j.cnki.11-2246.2020.0064

• 第七届测绘科学前沿技术论坛获奖论文 • 上一篇    下一篇

利用BDS与无人船进行污染源分析及处理

姜沣珊, 岳中杨, 程俊颖, 赵泽阳   

  1. 成都理工大学, 四川 成都 610051
  • 收稿日期:2019-05-29 出版日期:2020-02-25 发布日期:2020-03-04
  • 作者简介:姜沣珊(1999-),女,研究方向为空间信息技术。E-mail:928850970@qq.com

Analysis and treatment of pollution sources using BDS and unmanned ships

JIANG Fengshan, YUE Zhongyang, CEHNG Junying, ZHAO Zeyang   

  1. Chengdu University of Technology, Chengdu 610051, China
  • Received:2019-05-29 Online:2020-02-25 Published:2020-03-04

摘要: 在大数据的背景下,充分利用北斗卫星导航系统(BDS)的定位功能,以无人船作为用户端,在水质数据采集和污染源位置的问题中积极探索新的实践方案,迅速、准确地找到污染源,减少河流污染物污染的时间,且无人船上装有净化模块,在发现污染时可作简易处理。在无人船上安装水质分析仪,水质分析仪的传输模块中安装经给防水处理的北斗卫星定位芯片和WiFi数据传输器,进而对河流的污染物种类及浓度进行分析,并采用大数据的计算方法,计算出污染源位置,向云平台反映污染源位置分析结果与污染物处理方法。通过BDS,将数据按照位置区域划分,并将能到达污染源的最短路径发送到处理人的移动设备上。本文通过对基于BDS定位的水质污染监测可视化系统进行分析,以期迅速找出污染源,减少水质污染现象的发生。

关键词: 北斗, 无人船, 污染源, 水质污染, 数据采集, 大数据分析

Abstract: This article make full use of the position function of BeiDou Satelites Navigat System under the background of large data. The positioning function, using unmanned ships as the client, actively explores new practice solutions in the issue of water quality data collection and source location, and quickly and accurately finds the source of pollution, reduce the time of river pollution, and no one on board has the corresponding purification module, do some simple treatment when found pollution. The water quality analyzer is installed on unmanned ships, and the BeiDou satellite positioning chip, WiFi data transmitter, is waterproof processed in the transmission module of the water quality analyzer. The types and concentrations of pollutants in rivers are analyzed, and the location of pollution sources is calculated using the calculation method of large data, and the results of pollution source analysis and pollutant treatment methods are reflected in the cloud platform. Through the BeiDou Satellite Navigation System, these data are divided into locations and the shortest route to the source of pollution is sent to the processing person's mobile device. This paper analyzes the visual system of water pollution monitoring based on BeiDou satellite positioning in order to find out the pollution sources quickly and reduce the water pollution.

Key words: BeiDou, unmanned vehicle, pollution source, water pollution, data acquisition, large data analysis

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