Hot continuous rolling process monitoring and early warning method based on digital twinning

Abstract

The invention provides a hot continuous rolling process monitoring and early warning method based on digital twinning, and relates to the technical field of rolling process intelligent manufacturing.The method comprises the following steps: firstly, establishing a three-dimensional solid model and a process model of a hot continuous rolling process at a virtual end; obtaining existing hot continuous rolling production process data, storing the existing hot continuous rolling production process data into a database, and establishing a corresponding relationship between the data in the databaseand the three-dimensional entity model of the virtual end; then calculating by using the process model and utilizing the actual production process data of hot continuous rolling, judging a calculatedvalue, and giving an early warning according to a judgment result; and further storing the hot continuous rolling actual production process data, the process model calculation value data and the judgment result data into a database, establishing an action corresponding relationship between the hot continuous rolling actual production process data and virtual production equipment, and carrying outthree-dimensional presentation on the production process at a virtual end, completing the construction of digital twins in the hot continuous rolling process, and continuously performing the digitaltwins according to a fixed communication period until the production of the rolled piece product is finished.

Description

technical field [0001] The invention relates to the technical field of rolling process intelligent manufacturing, in particular to a digital twin-based monitoring and early warning method for hot continuous rolling rolling process. Background technique [0002] Digital Twin (Digital Twin) technology was first proposed by the U.S. Department of Defense for the health maintenance and protection of aerospace vehicles. It establishes a real aircraft model in the digital space, and realizes complete synchronization with the real state of the aircraft through sensors. In this way, after each flight, according to the current situation of the aircraft structure and past loads, it can analyze and evaluate in time whether it needs maintenance and whether it can withstand the next flight. task load, etc. Digital twins make full use of physical models, sensor updates, and historical data, integrate multi-disciplinary, multi-physical quantities, multi-scale, and multi-probability simula...

AI Technical Summary

Problems solved by technology

The hot continuous rolling production process is a typical serial production process. As the rolling process progresses, the rolled piece undergoes different physical and chemical changes at different times, for example, the rolled piece temperature, three-dimensional dimensions (rolled piece length, thickness, etc.) ) etc. are constantly changing over time. Due to the limitation of the measurement environment and installation cost, measuring instruments cannot be installed at all positions of the production line, and measuring instruments can only be installed at specific process node positions, resulting in dimensional changes and partial Quality indicators are difficult to measure in real time, and the actual monitoring of the production process cannot be realized, which is not conducive to product quality and the stability of the production process

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