数字孪生与神经网络融合驱动的烧成系统故障预警研究OA

Aiming at the difficulty of process fault diagnosis and prediction under the dynamic coupling relationship of the firing system,a digital twin and neural network fusion-driven fault diagnosis and warning method of firing system is proposed by integrating the digital twin with the powerful data analyzing capability of neural network,which is highly characterized by using the interaction between the reality.Based on Unity3D,a digital twin workshop that highly portrays the physical workshop of the firing system is constructed;a failure diagnosis model for firing system based on the extreme learning machine neural network is established,the failure prediction of the firing system equipment driven by real-time monitoring data is realized,and a warning of the failure in the form of a panel in the virtual workshop is made,which provides a new way in thinking for the failure diagnosis and prediction of the firing system,and has important significance for the digital transformation of the cement industry.