论文标题:基于WEB数据库的供热系统管控一体化研究
Study on Control and Management Integration of Heating System Based on WEB Database
论文作者
论文导师 汪思源,论文学位 硕士,论文专业 控制理论与控制工程
论文单位 大连海事大学,点击次数 5,论文页数 72页File Size10598K
2007-03-01论文免费下载 http://paper.dic123.com/lunwen_285025122/
Decision Support; Heating Quality Evaluating; Optimization Value; Web Database; Human-machine Cooperation
随着自动化技术的发展，很多供热锅炉控制与管理系统都已经实现计算机化。但由于种种原因，现实中的锅炉控制现场许多的监测数据也还没有充分发挥作用。主要表现在对锅炉的供热品质缺乏量化的评价，以及对锅炉运行参数优化目标值的设定缺乏理论依据。 基于对我国目前供热领域的设备现状和人员素质的基本认识以及就业需求，供热锅炉的计算机控制管理系统设计的指导思想应该是建立人机和谐的管控一体化系统。其中，决策支持系统(DSS, Decision Support System)是其最主要的组成部分。决策支持系统利用供热锅炉运行过程中记录的数据，通过管理信息系统处理，完成统计、知识发现、分析、预测等逻辑功能，为管理者提供决策依据，以管理促进控制，从而提高供热锅炉的控制水平。控制水平的提高又可以促进管理水平的提高。 本课题基于实际工程项目，主要设计研究决策支持系统，包括以下两方面内容： 1．使用ASP. Net+SQL Server设计开发供热品质评价功能。根据已有的Web数据库，使用控制理论中比较常用的IE和IAE指标对反映供热品质的相关参数进行评价，并进行权系数分配，得出供热品质的综合参考得分。该功能通过ASP. Net编程并发布在Web服务器端，管理者可通过光线局域网在客户端通过网络浏览器进行登陆使用。 2．运用数据挖掘技术中的关联规则方法进行运行优化目标值的挖掘。应用关联规则对供热系统中的历史数据进行数据挖掘，通过设置安全性和经济性指标，挖掘出某个时间段内的可达运行优化目标值。
Along with the development of automation, many heating boilers and its management systems have realized computerization. But because of various reasons, many monitor data have not been used adequately. The performance is that the lack of evaluating heating quality and the lack of theories basis to set operating parameter"s optimization value.Based on the present condition of our country"s heating field and the employment requirement, the heating boiler computer control and management system should be set up as a control and management system with human-machine cooperation. DSS is the most important part of it. DSS use the data recorded in the operating process of heating boiler to find something by computing, analysis, estimating, and so on. It provides decision support for the administrator and promotes control level by management. The exaltation of control level can promote the level of management too.Based on a real project, the thesis mainly designs and researches DSS, including the followings:1. Use ASP.NET+SQL Server to develop heating quality evaluating system. According to WEB database, use indices like IE and IAE to evaluate parameters that reflect heating quality. And assign weight coefficient to get a score that represent heating quality. The software is developed by ASP.NET and released on WEB Server. Administrator can use it on network.2. Use association rule which is a method of data mining to mine operating optimization value of heating boiler. The mining based on the history database of heating system can find out reachable operating optimization value by setting security and economy parameters.
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