Expert systems are effective tools for automatically identifying energy efficiency potentials in manufacturing, thereby contributing significantly to global climate targets. These systems analyze energy data, pinpoint inefficiencies, and recommend optimizations to reduce energy consumption. Beyond systematic approaches for developing expert systems, there is a pressing need for simple and rapid software implementation solutions. Expert system shells, which facilitate the swift development and deployment of expert systems, are crucial tools in this process. They provide a template that simplifies the creation and integration of expert systems into existing manufacturing processes. This paper provides a comprehensive comparison of existing expert system shells regarding their suitability for improving energy efficiency, highlighting significant gaps and limitations. To address these deficiencies, we introduce a novel expert system shell, implemented in Jupyter Notebook, that provides a flexible and easily integrable solution for expert system development.

翻译：专家系统是自动识别制造业中能源效率潜力的有效工具，从而对全球气候目标做出重要贡献。这些系统分析能源数据，精确定位低效环节，并提出优化建议以降低能耗。除了开发专家系统的系统化方法外，当前迫切需要简单快速的软件实现方案。专家系统外壳作为促进专家系统快速开发与部署的关键工具，在此过程中至关重要。它们提供了一个模板，简化了专家系统的创建及与现有制造流程的集成。本文全面比较了现有专家系统外壳在提升能源效率方面的适用性，并指出了显著差距与局限。为弥补这些不足，我们提出了一种在Jupyter Notebook中实现的新型专家系统外壳，为专家系统开发提供了灵活且易于集成的解决方案。