Intelligent industrial production process automatic regulation system based on LLM agents
Zihao Wang, Huijian Qin
Abstract
With the further development of Industry 4.0 technology, large artificial intelligence models have wide application possibilities in industrial production because of their powerful data processing and learning judgment capabilities. In this paper, an intelligent industrial production automation system based on large-scale Language Model (LLM) agent is developed, which integrates Langchain and METAGPT framework, and takes full advantage of Devin agent, real-time data analysis can be used in industrial processes to optimize line operations, improve efficient energy use, and significantly reduce carbon emissions and environmental pollution. At the same time, artificial intelligence can be more convenient and accurate to solve complex industrial problems, industrial production automation opened up a new way.