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石膏纤维板生产线厚度控制相关问题研究

Study on the Relative Problems of Controlling Thickness in Gypsum Fibre Board Product Line

【作者】 赫英岐

【导师】 崔宝侠;

【作者基本信息】 沈阳工业大学 , 系统工程, 2006, 硕士

【摘要】 石膏纤维板是以石膏为主要原料,用纸纤维作增强材,经适量加水、加压、凝结干燥而制成的一种新型墙体材料,具有轻质、高效、防火、防潮、隔音、隔热等优点,近年来在国外已获得了高速的发展。在我国,随着建筑行业的迅猛发展,这种新型墙体材料也具有着广阔的市场和发展前景。 本文针对湖北三环墙体材料有限责任公司引进的国内第一条石膏纤维板生产线进行了研究,主要工作如下: (1)通过对石膏纤维板生产线生产工艺的分析和研究,编制了工艺流程图。 (2)对生产线的PLC控制系统进行了设计,建立了控制系统三级网络结构图。 (3)对连续式压机工作原理和影响板厚的主要因素进行了分析。影响板厚的因素主要有:混和物料的木膏比、铺装机的铺料高度、连续式压机的速度以及压机主压辊压力等。 (4)对板厚控制问题进行了研究,利用人工神经网络技术建立了板厚控制模型。 (5)建立了基于改进遗传算法的神经网络厚度预测模型,利用误差均分变尺度搜索技术对网络训练算法进行了改进。结合模糊逻辑和神经网络的各自优势,建立了模糊神经网络厚度预测模型。 (6)对石膏纤维板厚度控制专家系统进行了初步设计,在WINDOWS XP操作系统平台下利用VB与MATLAB混合编程技术完成了部分应用程序的开发。

【Abstract】 Gypsum fiber board (GFB) is a kind of artificial board using gypsum as main material and paper fibers as reinforcing material, it is made by adding proper water and pressure, solidifying and drying. As a kind of new building material, it has many advantages such as lightness, efficiency, fireproof, damp proof, insulate against sound and heat. It has gotten a fast development in foreign land lately. Due to the rapid development of architecture industry in our country, it will have a wide market and growing foreground.This paper makes a further study on the GFB product line in Hubei Sanhuan Wall Material Co., Ltd., which is the first line in china that imported from German. The major works in this paper include:1. The technics of GFB product line is studied, and the technics program is worked out.2. The PLC controlling system is studied and designed, the three level network structure of controlling system is established.3. The working principle of continuous pressing machine and the main factors that influenced the thickness of the board are analyzed. These factors are: the fiber-gypsum ratio, the layer height of material, the speed of continuous pressing machine and the pressure of main pressure rollers.4. Some problems of thickness controlling are studied, a thickness controlling model is established by using ANN on the base of analyzing the influenced factors.5. A ANN forecasting model based on new arithmetic and a FANN forecasting model combining the advantage of fuzzy logics and artificial neural networks are established.6. A preliminary study on the designing of the thickness controlling expert system in GFB product line is made, some programs and forms are developed by using vb and matlab.

【关键词】 石膏纤维板PLC神经网络专家系统
【Key words】 Gypsum fiber boardPLCNeural netExpert system
  • 【分类号】TP273.5
  • 【被引频次】1
  • 【下载频次】88
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