Analysis of the key technological factors of sulfur recovery process and their impact on operating efficiency of Claus reactor sulfur recovery unit at thermal and catalytic stages was carried out. The composition of acid gas entering Claus reactor and hydrogen sulfide (H2S); carbon dioxide (CO2), vapors of water, hydrocarbons, oxygen, COS and CS2, and their impact on sulfur recovery process were studied and analyzed. Dependence diagrams of the influence of selected technological factors on sulfur recovery process rates were constructed.The quality of the produced sulfur is estimated on the basis of linguistic models developed using the initial fuzzy information. Linguistic models are developed on the basis of recovery model of knowledge representation and they describe the dependence of sulfur quality indices (sulfur grade) from the mass fractions of sulfur, ash, organic substances, and water. To describe a fuzzy term ‘high quality’ of sulfur, structures of membership functions were determined. GRAPHICAL ABSTRACT

中文翻译：

---

影响克劳斯反应器效率的主要参数研究及生成硫质量评价语言模型的构建

分析了硫回收工艺的关键技术因素及其对克劳斯反应器硫回收装置热、催化阶段运行效率的影响。进入克劳斯反应器的酸性气体和硫化氢（H2S）的组成；对二氧化碳 (CO2)、水蒸气、碳氢化合物、氧气、COS 和 CS2 及其对硫回收过程的影响进行了研究和分析。构建了所选技术因素对硫回收过程速率影响的依赖图。在使用初始模糊信息开发的语言模型的基础上估计生产的硫的质量。语言模型是在知识表示的恢复模型的基础上开发的，它们描述了硫质量指数（硫等级）对硫、灰分、有机物质和水的质量分数的依赖性。为了描述硫的“高质量”模糊术语，确定了隶属函数的结构。图形概要