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.