抗生素发酵专家诊断系统的研究及实现  

Research and implementation of antibiotic fermentation expert diagnosis system

作　　者：丁远超 龙伟[1] 李富贵[1] 

机构地区：[1]南昌大学信息工程学院,江西南昌330031

出　　处：《电子技术应用》2016年第10期120-122,130,共4页Application of Electronic Technique

基　　金：国家自然科学基金资助项目(61261011)

摘　　要：现有的抗生素发酵系统大多不具备自动诊断异常的功能,为提高抗生素发酵的自动化水平,提出了一种应用于抗生素发酵的专家诊断系统。该系统结合抗生素发酵工艺特点,利用关系型数据库技术设计出一种产生式树形结构的知识库,并结合Snort规则库中的三维链表结构对知识库进行优化,采用高效的混合推导规则控制策略,最终设计出应用于抗生素发酵的专家诊断系统。由实验结果可知,系统实现了对抗生素发酵过程中异常状况的预测诊断和分析提示,对提高抗生素发酵率的生产目标具有一定的应用价值。Most of the existing antibiotic fermentation systems do not have the function of automatic diagnosis. In order to improve the automation level of antibiotic fermentation, an expert diagnosis system is put forward. The system combines the characteristics of antibiotic fermentation process by relational database technology to design a generated tree type structure of knowledge base,combined with snort rules in three dimensional linked list structure to optimize the knowledge base, control strategy using efficient hybrid derivation rules, an expert diagnostic system for antibiotic fermentation is gotten finally. The experimental results show that the system can realize the prediction of abnormal condition in the process of antibiotic fermentation, and it is valuable to improve the production target of the antibiotic fermentation rate.

关 键 词：抗生素发酵 关系型数据库 Snort规则库 专家诊断系统 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]