关键词: 动态模拟, 过程监控, Aspen Dynamics, Simulink

Abstract: A chemical process monitoring method using Simulink Toolbox of MATLAB to invoke Aspen Dynamics to dynamically simulate the chemical process was proposed. In most of the previous literatures about model-based fault detection, the mechanistic model should be built by hand, which is very time-consuming and requires the user to have a high professional quality. Using this method can build dynamics simulation for chemical in a quick and accurate way using Aspen Dynamics even the people who don't have high professional quality in chemical engineering, meanwhile, the data collected from the factory often require correction, using Simulink Toolbox can conveniently correct the model data and measured data, at the same time the real-time factory data was collected as input data for dynamics simulation in order to achieve real-time process monitoring. The method was tested using a virtual distillation process in Aspen Dynamics, the results show that it can detect faults in chemical process with and without production change. Because the fault data also comes from a distillation process using Aspen Dynamics, the simulate data and the measured data without process fault are very similar, the method to correct the simulation data was not include.

Key words: dynamics simulation, process monitoring, Aspen Dynamics, Simulink