基于模糊相似关系的工艺参数选择

Selection of technical parameters based on fuzzy similarity relation

在化工生产过程中,管理人员经常会根据市场需求下达不同的生产指标,这就要求操作人员及时合理地调整工艺参数以达到新的生产指标。操作人员是凭借自己的主观经验,参照以往的操作记录筛选出最可能达标的工艺参数,这样的做法主观性强,本文的目的就是将工艺参数的筛选过程规范化。做法是:首先建立基于SQL(structured query language)平台的生产数据库,记录以往采用过的每一组工艺参数和对应的生产结果,然后计算每一组生产结果与生产指标之间的模糊相似关系,找到最贴近生产指标的生产结果,将其对应的工艺参数作为适用于新生产指标的标准参数,这种优化方法简便有效,对其它生产装置有很好的借鉴作用。

In chemical production, the managers generally set variable production indices aiming at the market demanding, this demands the technicians select the relative optimal technical parameters to reach the new production indices, In general, the technicians find new parameters mainly by consulting the past operating record and their experience, which is excessively subjective, thus, the goal of this paper is that normalize the processing ofparameters selection. The method we developed here is as follow： Firstly, a production database based on SQL platform is built, which record each group technical parameters and its corresponding production effect, then, by calculating the fuzzy similarity relation between each production effect and production indices, and the production effect which is most approaching to production index is found. It make its corresponding technical parameters our standard parameters. This method is effective and widely useful for other production systems.