Distillation Device Intelligent Monitoring Development Trend

The safety of large-scale mechanized production is of great concern at home and abroad. With the development of information-intensive enterprises, the integration of data processing systems and information processing systems has been realized. At the same time, massive amounts of data and information have emerged. As a result, “information disasters” have caused a large increase in data and information to be observed and monitored. Effectively observe, process, and use this vast amount of data and information. Obviously, observing and monitoring massive amounts of real-time data and information is not suitable for human operations. The operator can neither finish nor remember. Especially in emergencies and emergencies, due to stress, fatigue, neglect or forgetfulness often leads to misuse. Therefore, intelligent monitoring systems should provide valuable data and information to operators so that the value of the massive data and information obtained can be fully discovered and utilized.

At present, there are more than 700 points in the measuring point of the distillation apparatus system, all of which are observed and monitored by the operator, which easily leads to misoperation. The failures such as crude oil, water, the first tower pour tower, atmospheric tower puff tower, the bottom of the liquid surface anomalies, hindered the normal production. Therefore, it is necessary to study the intelligent monitoring and accident prediction system of its production process.

The current distillation device system is to provide prediction results and operational hints to the operator. If necessary, the IN and MOR control instructions can be sent to the DCS or PLC. The OPC function can be used, and the external system's OpC server and the real-time data of the INTE MoR system can be used. Contact to achieve the purpose of controlling the external system. Through the continuous enrichment of the case, the system will become a mature intelligent monitoring and accident prediction system for the production process of distillation equipment, and it can be applied to similar atmospheric and vacuum distillation units.

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