Abstract: Industrial control systems play a crucial role in the petrochemical industry. In recent years, digital transformation technologies represented by large models and artificial intelligence have become the key force driving the transformation and upgrading of traditional industries, and their influence in scientific research and industrial fields has been increasing day by day. From the real-time control of single automated equipment to complex machinery, from production processes to the monitoring and optimization of entire factories, digital intelligent technologies are being widely applied at different levels of industrial control systems. This paper aims to systematically review the current implementation status of digitalization in industrial control systems, summarize the current data collection methods of industrial control systems, combine the cutting-edge trends in industrial process automation, and summarize the current mainstream intelligent algorithms and their application practices in typical industrial scenarios. It further explores the future development direction of digital intelligence in industrial control systems and puts forward suggestions for promoting the development of intelligent control applications, with the aim of providing new ideas for the development of industrial systems.