高压溶出过程苛性比值与溶出率软测量计算机系统开发

【作者】 虎仿超；

【导师】 桂卫华；

【作者基本信息】 中南大学 ， 控制理论与控制工程， 2004， 硕士

【摘要】 氧化铝高压溶出过程是极其复杂的生产过程，其目的就是在高温、高压的工艺条件下，用苛性钠溶液把铝土矿中的氧化铝溶出。苛性比值与溶出率是高压溶出过程中两个非常重要的经济技术指标，它们不仅决定了氧化铝溶出效率和碱耗，而且对氧化铝的后续生产有着极大的影响。但是，这两个指标的检测在实际生产中存在严重滞后，为此，本文研究了高压溶出过程中苛性比值与溶出率的软测量技术，开发在线预测苛性比值与溶出率计算机系统，具有十分重要的意义。 论文阐述了高压溶出的机理过程，分析影响苛性比值和溶出率各因素之间的关系，利用主元分析找到主导变量，并且对其进行数据处理和误差校正，结合机理分析、神经网络等方法，建立苛性比值与溶出率的软测量模型。 系统的软件开发基于软测量模型的数据预处理、机理建模、神经网络、表格匹配等模块功能，应用Visual C++编写语言，采用面向对象的编程技术、通信技术、数据库技术，开发了数据获取和苛性比值与溶出率预测的核心软件模块以及预测值比较、曲线显示等辅助模块，实现了苛性比值与溶出率的在线预测。 系统通过现场调试运行，实现了上述模块功能，实际运行结果证实系统具有较好的可靠性和实用性，满足工艺要求精度。更多还原

【Abstract】 Plenum melting process of Al2O3 is an extremely complex process, where to melt A12O3 out from aluminum-mine in caustic liquor on the technical condition of high-temperature and plenum. The caustic to alumna molar ratio and digester ratio are two important economic and technical indexes, where not only decide the melting efficiency of Al2O3 and soda consume, but also greatly affect the following producing of Al2O3. But the two indexes are lagging in actual producing severely. So it is very significant to make the research of the caustic to alumna molar ratio, digester ratio in the plenum melting process and soft sensing computer system and develop the computer system that forecasts the caustic to alumna molar ratio and digester ratio online for directing producing.The paper analyzes the mechanics of the plenum melting process. Analyze the relationship between elements that affect the caustic to alumna molar ratio and digester ratio. Find the ruling variable using the principle component analyze, conduct data and rectify errors. Built the soft-sensing model of the caustic to alumna molar ratio and digester ratio combining the methods of mechanic analysis, neural network and so on.Based on the data-preconditioning, mechanic module, neural network, table-match function of soft measure, Visual C++ 6.0 including programming technology that faces to the subject, communication technology and database technology developed the center module of data-deriving, the caustic to alumna molar ratio and digester ratio forecast as well as some auxiliary modules such as forecast-data comparison and curve display. It was able to forecast the caustic to alumna molar ratio and digester ratio on-line.The system was debugging and operating on scene and succeeded to put the module function mentioned above into practice. The scene operating condition proved that the system was of reliability and availability and it was able to content the locale-required precision.更多还原