Method for setting and online optimizing technological parameters of production process of continuous annealing unit

Abstract

The invention provides a method for setting and online optimizing technological parameters of the production process of a continuous annealing unit and belongs to the technical field of automatic control over continuous annealing units of iron and steel enterprises. The method includes the following steps that the main task of the static optimization stage of the production technological parameters of the continuous annealing unit is to determine the optimal values of the technological parameters of the continuous annealing unit before strip steel production, and the main task of the online dynamic optimization stage of the production technological parameters of the continuous annealing unit is to monitor the production operation state and rapidly obtain the new optimal set values of the technological parameters when the state changes. According to the method, the four evaluation indexes of product quality, energy consumption, unit production efficiency and the annealing technological procedure execution level are taken into consideration at the same time, it can be guaranteed that the continuous annealing unit operates under the optimal technological parameters of the continuous annealing unit all the time in the dynamic production process, and therefore human experience deficiencies are made up for, and the method assists the continuous annealing unit in improving the product quality, reducing energy consumption and improving the production efficiency of the unit.

Description

technical field [0001] The invention belongs to the technical field of automatic control of continuous annealing units in iron and steel enterprises, and in particular relates to a process parameter setting and online optimization method for the production process of the continuous annealing unit. Background technique [0002] In the actual production process of the continuous annealing unit in the cold rolling plant of the iron and steel enterprise, the hardness of the strip steel is an important index for evaluating the quality of the strip steel product. Moreover, controlling the relevant process parameters of the continuous annealing unit to ensure that the hardness of the strip product is within the scope stipulated in the contract, while taking into account energy saving and consumption reduction and the increase of unit productivity, has always been the primary task of the production process control of the continuous annealing unit in the cold rolling mill . However,...

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Problems solved by technology

However, due to the long production line of the continuous annealing unit, which includes multiple production stages, and each production stage involves a number of process parameters related to the hardness of the strip product, the entire continuous annealing unit needs to carry out relevant control process parameter elements. More than 30 items; in addition, complex heat exchange and metal phase transformation processes inside the strip will occur during the processing of each production stage, and at the same time, there is a coupling relationship between each production stage

The actual production process of the current continuous annealing unit mainly relies on the experience of field operators to set and optimize the process parameters of the continuous annealing unit. However, due to the complexity of the production process of the continuous annealing unit, it is difficult to realize the manual method The optimal control of the process often leads to problems such as substandard steel strip quality, high energy consumption, and inability to fully utilize the production capacity of the unit.

However, most of the current studies focus on the control method of a certain production stage of the continuous annealing unit, but have not realized the optimization and control of the process parameters of the entire continuous annealing unit, let alone optimizing and controlling the process parameters of the entire continuous annealing unit At the same time, it takes into account the optimization of unit energy consumption and the optimization of unit capacity

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