Intelligent atmospheric and vacuum system

Abstract

The invention belongs to the field of petroleum refining, discloses an intelligent atmospheric and vacuum distillation system, and realizes digitization, automation, intelligentization and closed-loop operation optimization of an atmospheric and vacuum distillation device from planning to production operation. The system mainly comprises an atmospheric and vacuum AI model, a planning module, a communication optimization module and an intelligent execution module. According to the method, technologies such as artificial intelligence, big data, mathematical modeling and optimization, process integration and the like are comprehensively applied, and the atmospheric and vacuum AI model capable of accurately describing the atmospheric and vacuum dynamic production process is established on the basis of historical data of the production process. A planning module is established on the basis of the model, and a feasible material distribution decision is provided; meanwhile, a through disk optimization module is established on the basis of the model, and an optimal operation scheme decision is provided; and the intelligent execution module automatically executes the decision to realize closed-loop operation of the device. Intelligent integrated operation of the system is realized from planning, operation optimization and intelligent execution.

Description

technical field [0001] The invention relates to the technical field of petroleum refining, in particular to an intelligent atmospheric and vacuum system. Background technique [0002] The production decision-making method of the refining and chemical industry has developed from relying on experience in the past to measuring and calculating the mechanism model established by process experts. It has mainly undergone two stages of change. [0003] Decision-making stage based on experience: In the absence of measurement tools and models, planners assign logistics directions for production plans based on statistical data and experience; operators give directions for adjusting operating parameters based on their own operating experience and operating manuals, combined with on-site production conditions, and The results of laboratory analysis were adjusted step by step. [0004] The process expert uses the mechanism model to measure and guide the stage: through the calibration of ...

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Problems solved by technology

[0005] However, blending and processing of 3 to 5 kinds of crude oil in atmospheric and vacuum units is a common phenomenon. Due to the dual dimensions of time and space in the process of crude oil procurement, transportation, and storage, the properties of the mixed crude oil processed by the unit are constantly changing, and the production plan is frequently adjusted. , the production conditions are in the process of dynamic adjustment, and the current process optimization relying on experts and simulation software is far from keeping up with the changing needs

[0006] It is difficult for operators to perform operation tuning based on their own experience to achieve the desired results. At the same time, due to the low frequency of laboratory analysis, the delay in the operation tuning process is relatively large

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