Scholarlink

<p>This paper comprehensively explores the application of artificial intelligence (AI) in petrochemical production optimization and scheduling, along with in-depth algorithm improvement strategies. In the petrochemical industry, where complex processes, variable raw materials, and dynamic market demands pose significant challenges, AI technologies offer innovative solutions. Through an analysis of AI applications in predictive maintenance, production process optimization, supply chain management, quality control, and safety monitoring, it is demonstrated how these technologies can enhance operational efficiency, reduce costs, and improve product quality. Nine detailed tables are presented to illustrate the practical effectiveness of AI applications and the performance improvements achieved through algorithm enhancements. The research also discusses the challenges faced during implementation and proposes corresponding countermeasures, highlighting the potential of AI to drive the sustainable development of the petrochemical industry.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Application and Algorithm Improvement of Artificial Intelligence in Petrochemical Production Optimization and Scheduling

  • 期刊论文

  • 发表日期：

    2025年11月1日

查看全文
  • Peng Yang

摘要

This paper comprehensively explores the application of artificial intelligence (AI) in petrochemical production optimization and scheduling, along with in-depth algorithm improvement strategies. In the petrochemical industry, where complex processes, variable raw materials, and dynamic market demands pose significant challenges, AI technologies offer innovative solutions. Through an analysis of AI applications in predictive maintenance, production process optimization, supply chain management, quality control, and safety monitoring, it is demonstrated how these technologies can enhance operational efficiency, reduce costs, and improve product quality. Nine detailed tables are presented to illustrate the practical effectiveness of AI applications and the performance improvements achieved through algorithm enhancements. The research also discusses the challenges faced during implementation and proposes corresponding countermeasures, highlighting the potential of AI to drive the sustainable development of the petrochemical industry.