生物发酵过程的在线检测及控制

【作者】 石雪萍；

【导师】 伍星；

【作者基本信息】 西北大学 ， 化学工程， 2008， 硕士

【摘要】 发酵过程是极其复杂的生化反应过程。要对生化反应过程实现优化操作和控制,首先要解决生化过程有关参数的在线测量问题。然而由于过程的复杂性和传感器的匮乏,某些参数不能实现在线测量,但是可以通过离线分析的方式测量,如发酵罐中的底物浓度,产物浓度等。另外,还有一些参数需要通过二次计算才能得出,如氧利用率,二氧化碳释放率和呼吸商等,这些参数对于研究发酵的代谢状况有着重要的意义。本课题“生物发酵过程的在线检测及控制”,是根据生物发酵工程的实际需要而自选的。论文主要完成了课题的前期工作,即研制专用数据采集系统(硬、软件),实现发酵罐数据采集和整理。本文根据低频信号的特点,设计了用单片机进行数据采集,用RS—232串口与计算机通讯。并在LabVIEW图形化编程开发平台下进行控制和显示的一个低频数据采集系统。同时,对整个系统研制了相应的硬件和软件程序,并经实验进行了验证,实现了发酵过程尾气中氧气、二氧化碳含量的在线测量、显示、数据保存,二次计算数据即氧利用率、二氧化碳释放率和呼吸商的在线显示,以及历史数据的回放,并对各种参数的控制提出了设计思想。为实施生化过程的离线分析和在线最优控制提供数据支持,为课题的更进一步进行研究创造了条件。更多还原

【Abstract】 The fermentation is a very complicated process. The fundamental of optimal operation and control of the biochemical reaction process is online measurement. The parameters such as substrate consistency, product consistency etc that can not be acquired online due to the complication and lack of appropriate sensor can be obtained through offline analyzing. In addition, some of the parameters, such as O₂ utilizing rate, CO₂ releasing rate and respiratory quotient can only be got by indirect calculation and these parameters are of great significance to the studying metabolic state of fermentation.The subject‘online measurement and control of the biology ferment’is self-selected issue according to realistic need of biology fermentation technology. The main mission of this paper, the data acquisition system, including hardware developing and software programming, is developed and actual ferment data acquired and processed. Based on low frequency feature of the data to be acquired, A single chip MCU system for data acquiring is developed and connected to a personal computer through RS232. The procedure for data acquiring, data processing, graphical illustrating is programmed under LabVIEW graphic language environment. On-site test showed the measuring, online graphic displaying, data storing for the contents of the O₂ and CO₂ in the exhaust, The second calculate data for O₂ utilizing rate, CO₂ releasing rate, respiratory quotient as while as historical data playback are completely realized. The control idea of related parameters is put forward. The achievement of this paper supplied a good support for immediate offline analysis of biochemical process and optimal control. The further studying of the subject is underpinned by results of this paper.更多还原