Improving Energy Efficiency in Manufacturing: A Novel Expert System Shell

TL;DR

This paper introduces a new expert system shell in Jupyter Notebook designed to quickly and easily develop energy efficiency expert systems for manufacturing, addressing current gaps in existing tools.

Contribution

The paper presents a novel, flexible expert system shell in Jupyter Notebook that improves ease of development and integration for energy efficiency applications in manufacturing.

Findings

Compared existing expert system shells and identified key limitations.

Developed and demonstrated a new shell in Jupyter Notebook.

Showed improved flexibility and ease of use for energy efficiency applications.

Abstract

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.