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将基于知识的规则模型和解析的数学模型有机结合，建立两级结构的实时专家控制系统（ＥＣＳ）。由具有专家自学习功能的实时专家系统（ＥＳ）以专家优化方式寻找电解液最优酸锌含量比和最优温度，由实时控制系统（ＲＴＣＳ）控制新液流量、总地槽液位和冷却风机状态，保证生产过程在最优生产条件下进行。本文介绍了系统结构、专家优化技术、实时控制技术和系统实现
The combination of knowledge-based rules model and analytical mathematical model establishes a two-level real-time expert control system (ECS). The optimal acid-zinc ratio and the optimal temperature of the electrolyte are searched by the expert optimization method by a real-time expert system (ES) with expert self-learning function. The liquid flow rate is controlled by the real-time control system (RTCS) Fan status, to ensure that the production process in the optimal production conditions. This article describes the system structure, expert optimization technology, real-time control technology and system implementation