水泥工业远程优化控制系统数据采集与处理
发布时间:2018-06-29 22:29
本文选题:水泥工业 + 数据平台 ; 参考:《济南大学》2015年硕士论文
【摘要】:现代的水泥工业离不开计算机信息技术,从生产过程中应用的控制系统,到企业管理所使用的企业资源计划系统,均是计算机技术的应用。然而,当前这些系统之间并未很好地打通信息分享的通道,造成数据共享性差,数据重复采集等缺点。在我国有关方针政策以及互联网高速发展的驱动下,水泥工业需要加强信息化建设,从综合数据中提炼有用信息,优化水泥工业的生产过程控制与企业运营管理。水泥工业远程优化控制系统正是充分利用网络技术,消灭“信息孤岛”,化集中式的信息结构为分布式信息共享结构,化局部为整体,对水泥工业各个生产环节的数据进行采集并综合分析,得出能耗信息且生成知识库,从而更好地对水泥生产过程进行优化控制。鉴于整个系统分为多个子系统,实现工作量较大,需要多人合作完成,本文专注水泥工业远程优化控制系统中的远程数据采集与处理部分。本文所涉及的系统选用.NET平台,使用多层结构的设计,面向接口式的可扩展架构,应用单例、观察者、消息、状态机等多种设计模式,并完成了以下主要工作:(1)首先对水泥行业发展概况进行了概述,介绍了水泥工业信息系统发展历史以及现状,描述了水泥工业远程优化系统平台,分析了现代水泥工业对远程优化控制系统中数据采集与处理部分的需求。在此基础上,结合系统的实际需求,给出了远程数据采集与处理系统的总体设计方案,对系统所需要实现的功能模块进行了划分,并针对功能模块进行具体设计与实现。(2)系统运行平台选用Windows与.NET平台、开发语言为C#语言、开发环境使用了Visual Studio 2012、数据库系统是MS SQL Server 2012,开发过程中应用测试驱动开发,解决了系统的OPC通讯、数据缓存、数据压缩、数据库设计、数据查询/储存、表达式计算、远程监控、基础数据报表、数据统计分析等实际问题。(3)系统结合某某建材集团的实际硬件环境与软件需求进行设计与实现,开发过程遵守工业软件设计中实用、易用、稳定的原则,保证了系统灵活与可扩展的结构。系统在该集团进行了实际的部署与应用,运行情况满足项目的要求,有很好的应用效果。
[Abstract]:The modern cement industry is inseparable from computer information technology. From the control system applied in the production process to the enterprise resource planning system used in the enterprise management, it is the application of computer technology. However, these systems do not clear the channel of information sharing well, resulting in poor data sharing, data acquisition and other shortcomings. Under the driving force of our country's relevant principles and policies and the rapid development of the Internet, the cement industry needs to strengthen the information construction, extract useful information from the comprehensive data, optimize the production process control and enterprise operation management of the cement industry. The cement industry remote optimal control system is precisely to make full use of network technology, eliminate "information isolated island", turn centralized information structure into distributed information sharing structure, turn part into whole. The data of each production link of cement industry are collected and analyzed synthetically, the energy consumption information is obtained and the knowledge base is generated, so as to optimize and control the cement production process better. In view of the fact that the whole system is divided into several subsystems, the workload of the system is large, and many people need to cooperate to complete it, this paper focuses on the remote data acquisition and processing part in the remote optimization control system of cement industry. The system involved in this paper uses .NET platform, multi-layer structure design, interface oriented extensible architecture, application of singleton, observer, message, state machine and other design patterns. The main works are as follows: (1) firstly, the development of cement industry is summarized, the development history and present situation of cement industry information system are introduced, and the platform of cement industry remote optimization system is described. The requirement of data acquisition and processing in remote optimal control system in modern cement industry is analyzed. On this basis, combined with the actual demand of the system, the overall design scheme of the remote data acquisition and processing system is given, and the functional modules needed to be realized in the system are divided. Then, the function module is designed and implemented. (2) Windows and .NET are selected as the operating platform, C # is the development language, Visual Studio 2012 is used in the development environment, and the database system is MS SQL Server 2012. OPC communication, data cache, data compression, database design, data query / storage, expression calculation, remote monitoring, basic data report, (3) the system is designed and implemented in combination with the actual hardware environment and software requirements of the building materials group. The development process follows the principles of practicality, ease of use and stability in the design of industrial software. The flexible and extensible structure of the system is ensured. The system has been deployed and applied in the group, and the running conditions meet the requirements of the project.
【学位授予单位】:济南大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:TP274.2;TQ172.6
【参考文献】
相关期刊论文 前1条
1 刘恒;刘家磊;;一种新型的数据采集系统性能量化方法的研究[J];工矿自动化;2011年02期
,本文编号:2083614
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