System method for intelligent control over continuous-casting process

Abstract

The invention discloses a system method for intelligent control over the continuous-casting process. Firstly, signals are collected to form a data center; then a temperature field model is designed to calculate the temperatures of continuous-casting key process nodes, and the temperatures of the continuous-casting key process nodes are stored into the data center; then logistics tracking of the continuous-casting process is achieved, and a 'casting blank-technological parameter and event' related database is formed; then rules and dispatching command information are obtained through data mining and artificial expertise, and virtual reality animation displaying of the equipment state, process operation state and command execution state is conducted; then a casting blank quality online grading system is built and casting blank grading is achieved; and finally, a coordination control system is built, energy consumption and water consumption are optimized, and large-closed-loop quality control and underlying loop control are achieved. Energy conservation and consumption reduction are achieved by optimizing the related parameters of energy consumption and water consumption while the effects that the continuous casting blank quality is stable and the quality is improved continuously are ensured, so that the yield is improved, the cost of per ton of steel is reduced, the comprehensive production cost is reduced continuously, and normal and efficient operation of continuous casting is ensured.

Description

technical field [0001] The invention belongs to the technical field of advanced industrial manufacturing control, in particular to a system method for intelligent control of continuous casting process. Background technique [0002] Continuous casting production is still an extensive and labor-intensive production process, and its control still uses the technology of many years ago, and the control strategy is basically segmented and discrete control. The calculation accuracy of the existing temperature field model is not high and the application effect is not good; the application of data fusion and data mining is lacking, and there is little mining of production rules; the production process requires frequent communication, slow communication efficiency and speed, coupled with human intervention, continuous casting has no The fault running time is not long; the visualization of the production process is poor, and the ability to control the equipment status and process opera...

AI Technical Summary

Problems solved by technology

The calculation accuracy of the existing temperature field model is not high and the application effect is not good; the application of data fusion and data mining is lacking, and there is little mining of production rules; the production process requires frequent communication, slow communication efficiency and speed, coupled with human intervention, continuous casting has no The fault running time is not long; the visualization of the production process is poor, and the ability to control the equipment status and process operation is poor; the continuous casting operation process is not optimized, and the overall energy consumption and water consumption are high; there is a lack of effective online quality analysis and quality intervention methods, and the casting slab Large fluctuations in quality

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