A method for controlling the temperature of pickling acid solution in a pickling and rolling mill.

By combining production planning and first-order inertial model prediction, precise control of acid liquid temperature in the pickling and rolling mill is achieved, solving the problems of temperature fluctuation and energy consumption in flexible production, and improving pickling effect and equipment life.

CN121523459BActive Publication Date: 2026-05-26BEIJING CHENGXIANG TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING CHENGXIANG TECHNOLOGY CO LTD
Filing Date
2025-12-16
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

The existing pickling acid temperature control technology of pickling mills cannot adapt to the flexible, multi-variety, small-batch production mode of modern steel industry, resulting in temperature lag or overshoot fluctuations, which affect the pickling effect and increase energy consumption.

Method used

By combining production planning forecasting, dynamic target setting in different states, first-order inertial model prediction, and adaptive correction of energy consumption-fluctuation index, multi-heat source hierarchical coordination and control parameter optimization are achieved, ensuring precise control of acid solution temperature.

Benefits of technology

This achieved uniform pickling and reduced energy consumption, decreased equipment corrosion and energy consumption, and formed a standardized optimization strategy.

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Abstract

This invention relates to the field of metallurgical industry technology, and discloses a method for controlling the temperature of pickling acid solution in a pickling and rolling mill. The method includes: Step 1, real-time acquisition of future production plan information, current real-time operating data, and start / stop and status data of heating devices at all levels of the pickling and rolling mill; Step 2, based on the future production plan information and current real-time operating data, using threshold logic to automatically identify whether the production line is currently in a normal production state, a short-term shutdown state, a long-term standby state, or a start-up preparation state. When the identification result is an abnormal production state, a time correction coefficient is introduced to calculate and predict the standby time of the production line. A multi-heat-source hierarchical coordinated control strategy is adopted to achieve optimized heat energy allocation and global coordinated control. Compared with the existing technology of independently adjusting a single heat source, this method solves the problem of chaotic multi-heat-source scheduling caused by the lack of a unified coordination mechanism.
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