农村生活污水处理远程监控系统设计及流量预测研究

发布时间：2018-03-19 20:14

本文选题：农村生活污水处理　切入点：远程监控　出处：《浙江理工大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着我国经济的快速发展,水环境质量却呈现不断恶化的趋势,其中一个重要的原因就是监测手段落后和监督管理力度不足。近年来,国家及各省市在水污染治理方面加强力度的同时,也越来越重视污水处理水质监测和管理方面。农村的水环境治理工作起步较晚,大多数农村地区还未有一套完整的远程监控系统来监测和反映污水处理的效果,因此,本文提出一种针对农村分散式污水处理设施的远程监控系统,实现了对污水处理数据的实时采集、显示和管理,并通过修改变频器参数远程控制现场设备的运转。本文分析了国内外水质在线监测系统的研究现状和发展趋势,对各种远程通信方式优缺点进行了比较,最终选择了GPRS技术作为系统的数据传输方式。远程监控系统由信号采集模块、远程数据传输单元和云监控中心服务器组成,系统底层的硬件选用STM32微控制器作为主控核心,并根据需求扩展相应的功能;系统的远程数据传输采用中移物联网的工业级GSM通信模组,主控制器通过发送AT指令控制模块参数配置和数据收发功能,模块与服务器之间建立TCP连接,通过TCP/IP协议自定义格式进行数据交互。云监控中心集合了云服务器和高性能PostgreSQL数据库系统,采用Go语言进行编程,云服务器提供数据实时显示、数据查询和报警等功能,用户可通过web网页访问服务器。为辅助污水处理设施运行并给相关人员监督管理提供依据,还对系统采集到的污水流量预测算法进行了研究,本文分别采用了灰色GM(1,1)模型和BP神经网络模型对数据进行了预测,最后结合两种模型的优缺点提出了一种组合模型,在实际应用中取得了良好的预测效果。本文提出的污水处理远程监控系统已经在湖州市安吉县28个村庄进行实地测试运行,结果表明:系统可对污水处理的运行状态进行远程实时监控,并对相关数据信息进行存储和管理,便于运行单位与监管部门及时、全面地掌握设施运行的相关信息并辅助用于运行与监管的决策,降低设施运行与监管的人力与交通成本,对水环境监控管理起到了一定作用。
[Abstract]:With the rapid development of China's economy, the quality of water environment is deteriorating, one of the important reasons is that the monitoring means are backward and the supervision and management efforts are insufficient. At the same time, more and more attention has been paid to the monitoring and management of water quality of sewage treatment. Most rural areas do not have a complete remote monitoring system to monitor and reflect the effect of sewage treatment, so this paper proposes a remote monitoring system for rural decentralized sewage treatment facilities. The real-time collection, display and management of sewage treatment data are realized, and the operation of field equipment is controlled remotely by modifying the parameters of frequency converter. This paper analyzes the research status and development trend of water quality on-line monitoring system at home and abroad. The advantages and disadvantages of various remote communication modes are compared. Finally, GPRS technology is chosen as the data transmission mode of the system. The remote monitoring system consists of signal acquisition module, remote data transmission unit and cloud monitoring center server. At the bottom of the system, the STM32 microcontroller is chosen as the main control core, and the corresponding functions are extended according to the demand. The remote data transmission of the system adopts the industrial GSM communication module of the middle moving Internet of things. The main controller sets up the TCP connection between the module and the server by sending AT command control module parameter configuration and data sending and receiving function. The cloud monitoring center gathers cloud server and high performance PostgreSQL database system, programming with go language, cloud server provides real-time data display, data query and alarm, etc. Users can access the server through the web web page. In order to assist the operation of sewage treatment facilities and provide the basis for the supervision and management of the relevant personnel, the paper also studies the sewage flow prediction algorithm collected by the system. In this paper, the grey GM-1) model and the BP neural network model are used to predict the data respectively. Finally, a combined model is proposed combining the advantages and disadvantages of the two models. The remote monitoring system for sewage treatment has been tested and run in 28 villages in Anji County, Huzhou City. The results show that the system can monitor the running status of sewage treatment in real time, and store and manage the relevant data information. Comprehensively grasping the relevant information of facility operation and assisting the decision of operation and supervision, and reducing the manpower and transportation cost of facility operation and supervision, has played a certain role in monitoring and management of water environment.
【学位授予单位】：浙江理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：X799.3;TP277

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