基于物联网的水环境在线监测系统的研发

【作者】 刘坤；

【导师】 王化建；

【作者基本信息】 曲阜师范大学 ， 控制理论与控制工程， 2015， 硕士

【摘要】 改革开放以来,我国经济水平发展的非常迅猛,相对于经济水平的提高,环境的情况也日益严峻。随着现代科技的高速前进,有关水环境监测的系统也已经逐步开发起来。但是,多年以来的发展紧紧建立在传统、常规的水质监测阶段,监测手段和监测信息的质量并不能满足国家部门对于水环境监测的基础要求。随着经济与社会的协调发展,加大监测力度,提高监测时效性、准确性以及保证信息传输的完整性、安全性势在必行。论文通过分析和总结国内外实现水环境监测自动化和信息化的最新研究进展,充分借鉴其经验。通过对水环境监测信息进行调研,并结合实际情况,对水环境在线监测系统进行了研究和开发,并结合了包括物联网技术、3S技术在内的科学技术,设计了一套既具有科学先进性,又能够实际可用的水环境在线监测系统。论文是由以下两点内容构成的:(1)由于现在水质监测的水平比较单一,无法有效的检测出有关部门需要的关于水环境质量以及污染情况的数据。论文通过设计数据采集仪以及构建无线通信网络,建立起一套完整地水环境数据采集平台,利用ZigBee技术实现了对整个水流域监测点进行系统布置,以及利用3S技术实现数据的高效传输与处理。(2)对于现在水环境质量评测系统的设计不合理以及水平落后的问题,本文提出了基于神经网络算法的数据理论分析系统,通过多数据融合处理技术和构建BP神经网络模型,来实现水环境的水质评价的智能测评,并且根据这一理论对水环境变化趋势做出正确判断,方便部门对水环境质量监测的智能有效管理。论文应用计算机技术、网络技术、通讯技术、GIS技术、GPS技术、RS技术、数据库技术和云平台技术,实现了对水环境的实时监控预警,可广泛应用于江河湖泊水质在线监控、洪涝灾害、环境污染、地质灾害、气象、地震、海啸、农业等方面,为国家政府的水环境治理发展部门提供有效的信息基础与技术支撑。更多还原

【Abstract】 Since the reform and opening up, China economic development more and more quickly.With the development of economy, the water-related environmental monitoring system has gradually developed.However, the development over the years only built on the traditional water quality monitoring phase.Quality monitoring instruments and monitoring information does not meet the national department of environmental monitoring for water infrastructure requirements.With the coordinated development of economy and society,increasing monitoring efforts,improving monitoring of timeliness and ensuring the integrity of information transmission is imperative.On the basis of analyzing and summarizing the domestic and foreign water environment monitoring automation and the information of the latest research progress, this paper fully draws lessons from the experience.Meanwhile, the paper also studies and develops the water environment on-line monitoring system based on the research of water environment monitoring information and discusses a set of water environment online monitoring system implementation scheme with scientific advancement and feasibility after the combination of water environment quality monitoring with the Internet of things, GPRS technology, ZigBee technology and other information technologies. This paper is composed of the following two content:(1) Now that the standard of water quality monitoring is relatively sole, we can not effectively detect the data of water environmental quality and pollution needed by the relevant departments. By designing the data acquisition terminal and building wireless communication network, we establish a complete water environmental data acquisition platform. We adopt ZigBee technology to realize the arrangement of water environment monitoring points throughout the system and the use of 3S technology to achieve efficient data transmission and processing.(2) For now the problem of the design of the water environmental quality evaluation system is unreasonable and is lagged behind, this paper presents the theoretical data analysis system based on neural network algorithm. Through the data fusion processing technology and the construction of BP neural network model, we can achieve the intelligent evaluation of water quality evaluation of water environment and make the right judgments on the water environment change trends according to this theory. Thus the intelligent monitoring of the quality of the water environment will be convenient for the relevant departments.Along with the rapid development of computer technology, network technology,communication technology, 3S technology, database technology and cloud platform, the real-time monitoring early warning system has been widely used in online monitoring of river and lake water quality, flood disasters, environmental pollution, geological disasters,meteorology, earthquake, tsunami, agriculture, etc., which can provide basic information for water environment safety management in our country’s rivers and provide reliable technical support for the government science and technology decisions. All of this can promote the sustainable development of economy, social and environment in river areas.更多还原