[心理学]置换蒸煮论文：置换蒸煮DDS过程蒸煮终点软测量的研究.docVIP

置换蒸煮论文：置换蒸煮（DDS）过程蒸煮终点软测量的研究【中文摘要】由于能耗和环境等问题,造纸制浆工业的发展已严重受阻。寻找节能环保型制浆技术是摆在我国浆纸工业面前的一个重要战略课题。置换蒸煮系统(Displacement Digester Systems)是20世纪80年代发展起来的一项高效节能的间歇式制浆技术,由于其显著的环境和经济效益,该技术已逐渐成为了制浆蒸煮技术发展的主要方向。本文在介绍置换蒸煮工艺机理的基础上,针对其蒸煮终点难以判断这一问题,从以下几个方面展开了工作。首先,文章提出了置换蒸煮终点神经网络软测量的方法。蒸煮终点是制订蒸煮时间的依据,对纸浆质量以及能耗有着直接影响。目前较为科学可靠的蒸煮终点判定法是依靠卡伯值,以及其它影响因素共同确定。由于蒸煮过程的复杂性,蒸煮终点卡伯值的在线检测非常困难。文中提出利用神经网络软测量的方法,通过比较容易测量的辅助变量来间接测量纸浆卡伯值,从而确定置换蒸煮的终点。在该软测量模型中,纸浆卡伯值作为模型的主导输出变量,硫化度、H因子和有效碱浓度作为模型的输入变量。其次,分别采用RBF和BP神经网络两种方法建立置换蒸煮终点卡伯值软测量模型,并进行对比分析。在其RBF软测量模型的基础上,介绍了该模型在DCS控制系统中的实现问题。置换蒸煮DCS系统是以SIEMENS S7-400 PLC作为硬件开发平台,WinCC和Step7为软件开发平台。上位机不仅要完成WinCC软件设计,还要实现与MATLAB软件的对接,将置换蒸煮终点软测量技术嵌入到DCS控制系统中。最后,在对置换蒸煮DCS控制系统设计的基础上,文章还对H因子计算、蒸煮锅上中下温度一致性控制、蒸煮锅压力控制等一系列控制要点提出了解决方案。【英文摘要】Owing to energy consumption, pollution and other issues, the development of paper pulp industry has been seriously hampered. Searching for a new environmental and energy-saving pulping technology is an important strategic issue placed in pulp and paper industry of china. Displacement digester systems, which was developed in 1980, is a high-efficiency and energy-conserving pulping technology. Because of its good environmental and economic benefits, displacement digester systems has gradually became an important development direction of pulp technology.Based on mechanism introduction of displacement digester systems, aiming at the difficulty of judging pulp cooking endpoint, the work in this paper was expanded from following aspects.Firstly, soft measurement method on cooking endpoint of displacement digester systems has been proposed in the article. The cooking endpoint, which is the basis for time, has a direct impact on pulp quality and energy consumption. At present, more scientific and reliable method for judging cooking endpoint is to rely on kappa number and other influencing factors. However, online direct detection of kappa number is very difficult as the complexity of the cooking process, a soft measurement scheme of kappa number was proposed based on artificial neural network to indirectly measure kappa number and determine the endpoint of cooking process. Kappa number was selected as the output variable of model and H factor, sulfidity and the effective concentration of alkali were selected as input variables of the model.Secondly, two approaches were used for soft measurement model by RBF neural network and BP neural network in this article. On the basis of the model, its application in the DCS control system was introduced. SIEMENS S7-400 PLC was chosen as hardware development platform and WinCC and Step7 software were selected as software development platform in DCS. In order to monitor and operate the entire production process, the host computer not only need to design WinCC development platform, but also achieve docking with the MATLAB software, which will embed soft sensor technology into DCS control system.Thirdly, based on the design of DCS control system, some control schemes of displacement digester systems were briefly presented, such as, H factor calculation, consistency of the upper and lower temperature of digester, the stability of digester pressure and so on.【关键词】置换蒸煮 蒸煮终点 软测量 RBF模型【英文关键词】Displacement Digester Systems Cooking Endpoint Soft Sensor RBF Neural Network【目录】置换蒸煮（DDS）过程蒸煮终点软测量的研究摘要4-5ABSTRACT5-61 绪论9-131.1 选题的目的和意义9-101.2 国内外研究现状10-111.3 课题研究的主要内容及章节安排11-131.3.1 主要研究内容11-121.3.2 章节安排12-132 置换蒸煮系统(DDS)工艺13-202.1 置换蒸煮系统工艺流程13-172.2 DDS蒸煮机理分析17-203 置换蒸煮终点软测量原理20-303.1 蒸煮终点软测量方法20-233.1.1 蒸煮终点的定义203.1.2 软测量的定义20-223.1.3 DDS蒸煮终点软测量22-233.2 DDS蒸煮终点软测量模型23-273.2.1 DDS蒸煮终点软测量的影响因素23-243.2.2 典型的间歇蒸煮过程软测量模型24-273.3 现有的蒸煮终点软测量模型存在的问题27-283.4 本文拟采用的置换蒸煮终点软测量方法28-304 RBF神经网络原理30-354.1 人工神经网络原理304.2 BP神经网络与RBF神经网络的比较30-314.3 径向基神经网络原理31-334.3.1 径向基函数31-324.3.2 径向基函数神经网络32-334.3.3 RBF神经网络训练过程334.4 基于MATLAB软件的RBF网络设计33-354.4.1 MATLAB工具箱33-344.4.2 径向基函数网络的严格设计344.4.3 更有效的径向基函数网络的设计34-355 置换蒸煮终点卡伯值RBF模型的建立35-495.1 RBF模型的构建35-365.2 RBF网络的训练与测试36-405.3 BP模型的构建40-475.4 DDS蒸煮终点RBF模型与BP模型的比较47-496 置换蒸煮终点软测量模型在DCS中的实现49-686.1 置换蒸煮终点软测量模型辅助变量的检测49-556.2 置换