Abstract: To promote the intelligence level of waste heat power plants, and continuously update existing technological systems, the paper attempt to build a new hardware framework for intelligent operation systems based on existing DCS and MES systems, and integrate the entire data process, collect and analyze data based on the operation logic of waste heat power plants and the operating procedures of power plant operators. By combining knowledge graphs with neural network models, a data-driven intelligent operation technology model is established. Through training and iterative optimization, an auxiliary decision-making platform is used for practical testing, ultimately achieving the goal of replacing manual operation or expert systems. Efforts are made to build a fourth generation waste heat power plant operation technology system, and achieve intelligent autonomous operation of waste heat power plants, and improve operational efficiency, and reduce operating costs.
陈宝阔, 刘世忠, 贺伯君, 张超, 余国彦. 智能运行系统在水泥窑余热电站的应用研究[J]. 水泥技术, 2025, 1(5): 31-36.
CHEN Baokuo, LIU Shizhong, HE Bojun, ZHANG Chao, YU Guoyan. Research on the Application of Intelligent Operation System in Waste Heat Power Plant of Cement Kiln. Cement Technology, 2025, 1(5): 31-36.
