摘要
石油化工行业是全球经济的重要支柱之一,对能源和化学产品的生产起着至关重要的作用.随着技术的进步,该行业面临着提高效率、确保安全、减少环境影响以及响应市场变化的压力.文章探讨了石油化工自动化的特点和要求,包括其在模型预测控制(MPC)、人工智能与机器学习、优化控制与过程优化以及安全与环境保护控制方面的应用,并通过案例展示了这些技术如何在实际生产中提高生产效率、确保过程安全、减少环境影响以及响应市场需求的能力.
Abstract
The petrochemical industry is one of the key pillars of the global economy and plays a vital role in the production of energy and chemical products.As technology advances,the industry is under pressure to improve efficiency,ensure safety,reduce environmental impact,and respond to market changes.This paper discusses the characteristics and requirements of petrochemical automation,including its applications in model predictive control(MPC),artificial intelligence and machine learning,optimization control and process optimization,and safety and environmental protection control.Examples show how these technologies can improve production efficiency,ensure process safety,reduce environmental impact and respond to market demands in actual production.
维普
万方数据