A correlation method of steel coil length technology

Abstract

The invention relates to a correlation method in the steel coil length process. According to the technical scheme, the method includes: firstly, using PI Unit Batch and a reference station point (6) to trace a steel coil, obtaining start time and stop time t0 and t1 of the steel coil, and correcting the start time and stop time of the steel coil through a steel coil mark station point (7); secondly, calibrating start time and stop time tx0 and tx1 of a process measurement station point (3) according to the corrected start time and stop time t0' and t1' of the steel coil, a speed measurement station point (5), a shortest physical distance Dx between the process measurement station point (3) and a reference station point (6), and entry loop height Si; thirdly, iteratively calculating length position of the steel coil according to the corrected start time and stop time tx0' and tx1' of the process measurement station point (3) and a speed sequence of the steel coil at the speed measurement station point (5); and fourthly, visually outputting the result of correlation for the steel coil length process. The lengthwise process quality of the steel coil can be judged accurately, the problem that lengthwise production quality conditions of the steel coil fail to be monitored is solved, steel production process can be modified, and product quality can be improved.

Description

technical field [0001] The invention belongs to the technical field intersecting steel production control and information technology, and specifically relates to a method for associating a steel coil length process. Background technique [0002] Steel production process quality control uses online sensors, digital technology and real-time database technology to collect and store process information, and then predict product quality and control quality, with real-time and high analysis accuracy. However, because the existing information systems such as production management and production quality control are gradually established in a long historical period, the data collection methods are different, and the measurement of various process parameters has time and space correlations, so it does not truly reflect the steel quality. The production status of the coil process; and based on the on-site production priority strategy, it will undoubtedly increase the difficulty of corr...

AI Technical Summary

Problems solved by technology

[0003] "Steel coil quality analysis system for steel coil production line" (CN200810197492.2) discloses a technical solution. This technology starts from the steel coil production operation status and uses the on-site data collected by the steel coil production automation system to generate production related to quality analysis. The process table and fault table information provide a certain basis for the quality analysts to obtain the production status, but the quality analysis process does not consider how to locate the time relationship between the production process and the coil production cycle, which is difficult for subsequent report analysis based on process characteristic values posed great difficulties with statistical monitoring

In addition, "Data processing method of steel coil production process quality control system" (CN200810197491.8) discloses a technical solution, which is based on the steel coil production process and station measurement, and analyzes the quality data in the length direction of the steel coil. However, it did not analyze and design in combination with the information of the production site, and did not consider the production status of the production unit’s inlet loop volume changing and the rolling mill’s forward slippage, so that the calculated coil length position after the process measurement station point There is a large error, which also affects the accuracy of the calculation of the total length of the steel coil

[0004] The above methods are not closely related to the on-site production conditions for quality analysis, so the efficiency is low when calculating the length and position of steel coils, and the results cannot be shared, which cannot satisfy quality management personnel at all levels for rapid judgment and analysis of the production quality status of the steel coil length direction

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