基于模糊理论和数理统计的压煮器检测周期预测模型  

Research on the Inspection Period Forecasting Model of Digestion Autoclave based on the Fuzzy Theory and the Mathematical Statistics

作　　者：张晓斌 郭凯 金誉辉 秦志辉 王永梅 

机构地区：[1]广西特种设备监督检验院,广西南宁530219 [2]中国铝业广西分公司,广西百色531400

出　　处：《装备制造技术》2014年第3期130-132,共3页Equipment Manufacturing Technology

摘　　要：压煮器是氧化铝生产关键压力容器,其在高温、中压及强碱等恶劣工作条件下运行,必须定期进行检验。为了准确给出检验周期,结合模糊理论和数理统计,建立以压煮器综合安全评价指数为关键因子的检测周期预测模型。通过一个检验周期的运行表明,本模型预测周期较好保证了设备安全和生产最大经济效益。The key pressure vessel of alumina production process is the digestion autoclave, and the use of environment is very severe under the high temperature, middle-pressure and strong alkaline, so it must be inspected in period. In order to give the accurate inspection period, the inspection period forecasting model is established by the integrated security evaluation index of digestion autoclave combined with the fuzzy theory and mathematical statistics. The example shows that the model is lean model and production enterprises get both equipment safety and maximum economic benefit.

关 键 词：压煮器 模糊理论 数理统计 检测周期 预测模型 

分 类 号：TF821[冶金工程—有色金属冶金]