端边云协同的复杂工业过程运行控制智能系统

针对难以建立数学模型的复杂工业运行控制过程,利用可获得的过程控制系统设定值和运行指标以及相关变量的工业大数据和运行控制过程特性,将系统辨识与深度学习相结合,建立以实际运行指标以及相关变量为输入,以实际过程控制系统设定值为输出的运行控制过程数字孪生模型,提出云-边协同的过程控制系统设定值智能控制方法.所提出方法由云-运行控制过程数字孪生模型、边-过程控制系统设定值智能控制模型和自校正机制组成.将工业互联网与工业过程控制系统相结合,提出端边云协同的工业运行控制智能系统的架构和功能,采用所提出控制系统设定值智能控制方法,研制工业过程运行控制智能系统,并在选矿关键设备—–高压辊磨成功应用.所提出系统安全、可靠和优化运行,取得了显著的节能减排效果.

Intelligent system for operational control of complex industrial process based on end-edge-cloud collaboration

For the complex industrial operational control process that is difficult to establish the mathematical model, by combining system identification with deep learning, the digital twin model for operational control process is established with operation indices and related variables as input and process control system setpoints as output, based on the available industrial big data in terms of process control system setpoints, operation indices and related variables, and characteristics of operational control process. An intelligent method for control of process control system setpoints based on cloud-edge collaboration is proposed. The method consists of the cloud-digital twin model for operational control process and the edge-intelligent model for control of process control system setpoints, and the self-tuning mechanism. The structure and functions of intelligent system for industrial operational control based on end-edge-cloud collaboration are proposed by combining industrial internet and industrial process control systems. An intelligent system for operational control of industrial process has been developed by the proposed intelligent method for control of control system setpoints. The intelligent system has been successfully applied in the key equipment of mineral processing-high pressure roller mill. The intelligent system operates safely, reliably and optimally, achieving significant effects in energy saving and emission reduction.