摘要
针对传统卷烟配方过程质量控制主要以物理质量监测的不足,基于FT-NIR分析技术,结合SIM-CA统计建模方法和多元统计过程控制(MSPC)的基本原理,对卷烟制丝配方等过程质量监测进行了探讨。结果表明,通过建立SIMCA过程类模型对卷烟配方过程质量进行多元统计过程控制,进而实现对配方模块宏观特性的均匀性和稳定性监测,方法简单,操作容易,具有一定的实用性。
Aiming at the shortcomings of traditional quality control in cigarette blending process focused mainly on physical quality monitoring, the process monitoring of cigarette blending based on FT-NIR analysis technology, the method of SIMCA statistical modeling and the basic principle of multivariate statistical process control （MSPC） was discussed. The results showed that： cigarette blending process control and further, monitoring the uniformity and stability of general characteristics of blending blocks implemented with multivariate statistical process through establishing SIMCA process model was simple, practical and ease of operation
出处
《烟草科技》
EI
CAS
北大核心
2008年第3期5-9,共5页
Tobacco Science & Technology
作者简介
王家俊（1962-），学士，红河烟草（集团）有限责任公司技术中心工程师，主要从事化学计量学方法与光谱分析技术的应用研究。E-mail：honghe@vip．163．com
