提出基于Jupyter的专家系统壳，加速制造能效优化开发
Improving Energy Efficiency in Manufacturing: A Novel Expert System Shell
- 用Jupyter Notebook实现可快速集成的专家系统壳
- 对比现有壳体发现多处适配缺陷，影响能效分析效率
- 适合制造业能效团队快速构建定制化优化系统
专家系统是自动识别制造领域能源效率潜力的有效工具，有助于实现全球气候目标。它们通过分析能源数据、定位低效环节并推荐优化方案来降低能耗。然而，除系统性开发方法外，亟需简单高效的软件实现方案。专家系统壳体可加速专家系统的开发与部署，为现有制造流程提供模板化集成支持。本文全面比较了现有专家系统壳体在能效改进方面的适用性，揭示显著差距与局限。为此，我们提出一种新型专家系统壳体，基于Jupyter Notebook实现，具备高灵活性和易集成性，为专家系统开发提供便捷解决方案。
原文摘要 · Abstract (English)
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.
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