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

摘要： 提出了一种使用MATLAB仿真工具箱Simulink与动态模拟软件Aspen Dynamics相互调用来实现化工过程监测的方法.该方法具有以下优点:Aspen Dynamics能够快速建立精确的动态模型,具有完善的物性数据库,同时可以方便根据实际的化工过程对模型进行调整;使用Simulink仿真工具箱可以实时采集数据作为模型输入,同时完成对数据的必要处理.为了检测方法的可行性,将其应用于一个虚拟精馏过程来检验监测效果,结果表明, 其可以实现对存在生产计划变更过程的故障监测和无生产计划变更过程中故障的监测.

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