Method and system for optimizing and automatically updating data model of diesel hydrogenation device

Abstract

The invention belongs to the technical field of diesel hydrogenation optimization, and particularly discloses a method and a system for optimizing and automatically updating a data model of a diesel hydrogenation device. Expanding the acquired data according to upper and lower limit values of feeding and device production data, performing steady-state detection on the expanded data by adopting a steady-state detection method so as to obtain sample data with stable operation, and finding key operation factors influencing the cetane number of the product according to the sample data; constructing a diesel hydrogenation device data prediction model, and training the diesel hydrogenation device data prediction model to obtain a diesel hydrogenation device data model; and when the deviation of the input data of the diesel hydrogenation device data model is greater than a preset value, optimizing and updating the diesel hydrogenation device data prediction model to realize updating iteration of the diesel hydrogenation device data model. On the premise of ensuring safe production and qualified products, energy consumption and pollutant emission are effectively reduced, and the yield, the yield, the profit and the resource utilization rate are improved.

Description

technical field [0001] The invention belongs to the technical field of diesel hydrogenation optimization, and more specifically relates to a method and system for optimizing and automatically updating a data model of a diesel hydrogenation device. Background technique [0002] Real-time simulation and real-time optimization technology refers to the use of fast and efficient optimization calculation technology, combined with process knowledge and field operation data, to analyze the status of production and operation, and to quantitatively obtain key production and operation indicators such as material consumption, energy consumption, and quality indicators through model calculations. The parameters of the production equipment during operation are optimized and adjusted in time to overcome the influence of fluctuations in raw materials, environmental factors, and load changes in upstream and downstream production units, so that production and operation can always be kept in th...

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Problems solved by technology

[0003] At present, this real-time optimization method still has limitations: the complex process of the device makes it more difficult to establish a mechanism model, and it is difficult to completely match the mechanism model with the actual device; The factory cannot perform real-time analysis of raw materials, making it difficult to establish a mechanism model in real time; the calculation needs to meet multiple objectives and multiple constraints, and the large operating variable space in the solution process makes it impossible to find the optimum point only through simulation methods Yes, sometimes it is difficult to even find a feasible design point. Only by applying optimization technology can the optimal or near-optimal design point be searched; it takes a long time, and often requires technical personnel to model a working condition2 -3 days, and the site conditions of the production equipment change a lot, and the raw materials are replaced frequently. If the modeling takes too long, the model will lose its timeliness and cannot replace the current working conditions in real time, let alone optimize

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