Abstract

It has been determined that the principal parameters influencing the performance efficiency of a reactor at the thermal stage are as follows: the sour gas and its composition at the inlet into a Claus reactor, the air : sour gas ratio, the time the reaction mixture resides in a reactor, and the temperature and pressure in the reactor. At the same time, it has been established that the reactor temperature and pressure, the degree of catalyst activity, and the gases–catalyst contact time have an effect on the performance efficiency of a reactor at the catalytic stage. The effects produced by these process parameters on the performance efficiency of the Claus reactor of a sulfur production plant at the thermal and catalytic stages have been studied. The graphic dependences of the effect produced by the selected technological factors on the characteristics of sulfur production technology processes have been plotted. Some linguistic models of evaluating the quality of produced commercial sulfur have been developed, engaging the production model for the knowledge of expert specialists with the use of the initial fuzzy expert information. The resulting linguistic models make it possible to evaluate the quality of sulfur and its grade, depending on the mass fraction of sulfur, ash, organic compounds, and water. To describe the fuzzy term high quality of sulfur, corresponding membership functions have been constructed.

中文翻译：

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基于模糊信息的硫磺质量评价研究克劳斯反应堆性能效率对工艺因素的依赖性

摘要

已经确定影响反应器在热阶段的性能效率的主要参数如下：酸性气体及其在克劳斯反应器入口的组成，空气与酸性气体的比例，反应混合物的停留时间反应器中的温度和压力。同时，已经确定反应器的温度和压力，催化剂活性的程度以及气-催化剂接触时间对催化阶段反应器的性能效率有影响。研究了这些工艺参数对硫磺生产装置的克劳斯反应器在热催化阶段的性能效率的影响。绘制了所选工艺因素产生的效果对硫生产工艺过程特征的图形依赖性。已经开发了一些评估生产的商业硫的质量的语言模型，并使用初始的模糊专家信息来吸引专家模型知识的生产模型。生成的语言模型使得可以根据硫，灰分，有机化合物和水的质量分数评估硫的质量及其等级。描述模糊项 通过使用初始模糊专家信息，使生产模型具有专家知识。生成的语言模型使得可以根据硫，灰分，有机化合物和水的质量分数评估硫的质量及其等级。描述模糊项 通过使用初始模糊专家信息，使生产模型具有专家知识。生成的语言模型使得可以根据硫，灰分，有机化合物和水的质量分数评估硫的质量及其等级。描述模糊项高品质的硫，已经构建了相应的隶属函数。