Intelligent steel rolling negative difference early warning system and early warning method thereof

Abstract

The invention relates to an intelligent steel rolling negative difference early warning system and an early warning method thereof. The early warning system comprises the following four layers of frameworks from bottom to top: a data collection layer, a data calculation layer, a data service layer and a data application layer. Real-time process data and service data are collected, cleaned, analyzed and the like, real-time data display, abnormal value judgment and other means are used, and a field operator is guided to operate through voice prompt. Automatic calculation of the rolling line stacking and pulling relation according to the current is achieved, calculation of each rolling mill and each rolled piece is achieved, an operator does not need to stare at a curve for a long time, and automatic voice broadcasting is achieved after the system obtains the stacking and pulling relation conclusion. Meanwhile, the standard of heaping and pulling relationship statistics is unified, and the problem that different operators draw different conclusions on the same curve is completely eradicated. Actual calculation, display and early warning of the loop height fluctuation condition are achieved, real-time display, abnormal value early warning and the like of technological parameters are achieved, and all the technological parameters are integrated into one system.

Description

technical field [0001] The invention belongs to the technical field of steel rolling monitoring, and in particular relates to an intelligent negative difference early warning system for steel rolling and an early warning method thereof. Background technique [0002] Negative tolerance rolling of rebar is a production method of rolling the actual size of rebar according to the negative tolerance specified in the standard on the premise of ensuring that the performance of the product fully meets the national standards and user requirements. Negative difference is an important KPI index of rolling mills, and it is the most effective way to reduce production costs. Therefore, the control of negative difference is the top priority in the production process. A large impact directly affects the control level of the negative difference. [0003] At present, there is no technology that can display the relationship between rolling line piles and pulls, looper height fluctuations, and...

AI Technical Summary

Problems solved by technology

[0004] 1) The operator manually clicks on the Wincc screen to check the change of the current curve, judges the relationship between the stacking and pulling of the rolling line according to personal experience, and then adjusts the rolling mill. The operator needs to keep an eye on the current curve during the rolling start stage. First, it increases labor intensity. Second, will affect other operations

[0005] 2) According to the feedback from the later process, the operator found that the difference between the negative difference and the expected value was large, and the negative difference adjustment operation was performed, and the hysteresis was serious

Since the production method of steel rolling is continuous production, it takes a certain amount of time to detect the negative difference in the later process. During this period, the steel produced may have problems, which directly cause economic losses to the company.

[0006] 3) The adjustment methods of different operators are inconsistent, and there is no uniform adjustment standard to solve the same problem, resulting in large fluctuations in the negative difference level of each class

[0007] 4) There are too many process parameters affecting negative difference control, which come from different interfaces, and it is necessary to switch interfaces back and forth or look at different displays

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