In this contribution, a detailed description of a Python based application tool that enables fast implementation of the Self-Optimizing Control (SOC) technology with the help of surrogate models is presented. The paper also outlines the potential uses of the Metacontrol (from Metamodel-based self-optimizing control) software through case studies of representative test-bed industrial processes. As a result, an in-depth analysis of Metacontrol from a plantwide control perspective is discussed, together with recommendations for use. The data, examples, and the Metacontrol source code are available for download at https://github.com/feslima/metacontrol.

在本文中，将详细介绍基于Python的应用程序工具，该工具可借助替代模型快速实现自优化控制（SOC）技术。本文还通过对代表性试验台工业流程的案例研究，概述了Metacontrol（基于基于元模型的自我优化控制）软件的潜在用途。其结果是，的深入分析Metacontrol从全厂控制的角度讨论，有使用建议在一起。数据，示例和Metacontrol源代码可从https://github.com/feslima/metacontrol下载。