Research Of Risk Control Of Dangerous Chemicals Based On CPS

In recent years,in the chemical industry,there are certain hidden safety hazards from the raw materials selected for production and the final products produced,as well as equipment and safety parameters.Therefore,it is necessary for us to apply risk identification and risk estimation in the chemical production process,use a fully functional decision control system and conduct real-time detection and collection of data on hazard sources.CPS(Information Physics Fusion System)is a highly complex fusion system that integrates perception,calculation,control and communication.The physical space and the information space are deeply connected and fused,which can sense physical entities in real time and can be dynamically controlled.At present,CPS research has now achieved good results,such as in the fields of electricity,transportation and medical treatment.With the more and more mature development of CPS,it will be used in chemical production to ensure the safety of chemical production.This paper mainly studies the production process of ethylene oxide,designs a system architecture based on the CPS production process,and evaluates the risk of the system and studies the decision control.The purpose is to improve the production process,real-time control of the production system,independent decision-making and precise control capabilities.The main content of this article:(1)Based on the original CPS architecture,a CPS-based chemical operation system architecture was constructed.(2)Risk identification and risk prediction were made for the process of ethylene oxide production,and the ethylene concentration and oxygen concentration were determined as the factors that caused the danger of flying temperature during the production process,and the risk level was specified.(3)According to the actual demand,the CPS system architecture is applied in the production process of ethylene oxide.Designed the technical scheme of multiple data collectors,determined the appropriate nodes at the physical layer,selected the sensors and actuators correctly,selected the processor,designed the connection circuit of each module,and designed the analog input acquisition module.In the network layer,the Zig Bee-3G gateway is selected to realize the communication between the nodes and the physical layer and the network layer.(4)The fuzzy self-tuning PID control system was established,the three parameters of PID were tuned,the controller was designed,and the initial parameters were optimized,which can be completed according to the temperature error and its rate of change.According to the risk level,the reaction temperature was controlled and the ethylene and oxygen concentrations were adjusted.Through simulation,it was proved that the control effect of the fuzzy self-tuning PID system is better than that of the conventional PID control,so that the overshoot is suppressed and the adjustment time is Long,and robust,dynamic and static performance is good.And real-time.