Application Of Process Monitoring Technology Based On Process Simulation In Separation Process

Chemical process is a very complicated process, which is usually carried out under extreme conditions and involves a variety of explosive, poisonous and corrosive materials. The security is more and more important since the chemical industry process is becoming more large-scale and more continuous, any mistake are likely to lead to a major fire and explosion incidents, which will impact the production, cause accidents, damage the equipment, pollute environment, and even cause death to employees. In conclusion, it is very necessary to do chemical process monitoring to reduce and prevent chemical accidents. In this paper, in order to solve the problems existing in the chemical process monitoring technology based on mechanism model, such as the complicate model building, and long modeling cycle, low model accuracy, weak versatility, a chemical process monitoring technology which use Simulink Toolbox of MATLAB to invoke Aspen dynamics and using them in the chemical process monitoring is proposed. The main steps of this monitoring technology are: the establishment of the steady-state model, the establishment of the dynamic model, add and adjustment of the control points, selection of the input parameters and monitoring parameters, using Simulink invoke Aspen Dynamics model.The monitoring technology proposed in this paper in the Methanol water coupling distillation process(virtual process)and the distillation process of cyclohexane oxidization(real process)to test its feasibility. According to the monitoring results we can get the following conclusions: this technology can detect faults in chemical process with and without production change, and it is more meaningful to be used to monitor the process with production change; using this technology, even the people who don’t have high professional quality in chemical engineering can build dynamics simulation for chemical process in a quick and accurate way with the help of Aspen Dynamics; using Simulink Toolbox can conveniently correct the model data and measured data; the real-time factory data can be collected as the dynamics simulation’s input data to monitor real-time process; this technology is very convenient to be combined with knowledge-based and data-based chemical process monitoring technology. Expert knowledge rules was introduced in the monitoring process, it can monitor the operational status of the instrument by setting the appropriate control parameters and will help separate fault sources.