【作者】 高明；

【导师】 赵众；

【作者基本信息】 北京化工大学 ， 控制工程， 2012， 硕士

【摘要】 在实际工业现场中，以反应釜、闪蒸釜为代表的间歇搅拌加热装置，经常用于物料的气液相分离流程中，但是由于这些设备具有高压高温的特点，其内部的料位很难直接测量，大多是通过观察孔进行人工观察。人工观察耗费人力，而且不够准确，并且随着时间的推移，观察孔可能被物料蒙蔽等原因导致不可观察。这些原因都会直接影响投产的计划性和可控性，同时威胁生产安全。如何解决这些问题并能依据特定的现场情况找到适合于生产装置与现场环境的最优的或者新型检测方法就显得十分重要。本课题就是承接中国石化股份有限公司催化剂北京奥达分公司针对上述问题上提出的技术革新项目。在解决方案上利用多温度传感器采集闪蒸釜中的各空间点的温度数据，通过对这些数据的分析处理在线实时识别闪蒸釜中的料位高度，避免了物料原因对料位识别的干扰，同时使整个流程自动化，信息化。文章详细描述了整个设计方案所采用的技术手段及原理，并将整个设计方案软件化，方法具体化。在最后利用实际生产中取得的观察数据与通过软件分析取得的计算数据进行对比，证明本方案所提出的方法在生产中正常进料的情况下，基本可以满足对料位高度的识别要求。更多还原

【Abstract】 In actual industrial field, the intermittent mixing heating device, such asreactor, flash autoclave, often used for gas-liquid phase separation process ofthe material. However, due to the characteristics of these devices withhigh-pressure high-temperature, it is difficult to directly measure the materiallevel inside. People have to take the observation mostly through theobservation hole artificially. Human observation is labor intensive, but notaccurate enough, and over time, the hole to observe may be blinded by thematerial which causes can not be observed. These reasons will have a directimpact on the planning and control, and threat the production safety. It is veryimportant to get to know how to solve these problems and find the best suitedto the production plant and field environment or a new detection method basedon the specific site conditions.This project is to undertake the Sinopec catalyst Oda branch who wantsto address the problem of technological innovation projects. The solution isusing multi-temperature sensors to collect temperature data of the space in theflash autoclave, achieve the online real-time identification of the level heightin the flash kettle by analyzing the data processing.The article describes the entire design in detail， especially in the techniques and principle in the project. At the same time, the entire project ismade a software for tool. Finally, the article prove that the software can meetthe basic requirements of the identification on the material level with thecompare of actual production of the observation data and the calculated dataobtained by software analysis in the process of normal feed.更多还原