Relevance method of continuous annealing machine set detection signals and band steel positions

Abstract

The invention relates to a control method for a continuous annealing machine set, in particular to a method for judging detection signals generation positions of continuous annealing machine set. A relevance method between continuous annealing machine set detection signals and band steel positions comprises the following steps of: step 1, setting reference points; step 2, circulating the length of an inlet coil; step 3, obtaining the positions of all detection points and the reference points; step 4, obtaining the relevance conversion results of the reference points; and step 5, obtaining the relevance conversion results of the detection points. The method disclosed by the invention has the advantages that the relevance integration of space, time, various kinds of equipment information, process information and marking information data in the steel coil production process is built so that the comprehensive analysis of the whole flow data is carried out, in addition, a quality model and a process diagnosis model are built for the goals of production guide, fault early warning, accident tracing, quality defect analysis and the like, and the product quality and the production efficiency are further improved.

Description

technical field [0001] The invention relates to a control method of a continuous annealing unit, in particular to a method for judging the detection signal generation position of the continuous annealing unit. Background technique [0002] The continuous annealing unit is very critical in the production process of cold-rolled strip steel, and plays a link between the past and the future. The equipment status of the continuous annealing unit and the stability of the production process are the keys to ensure the quality of the final product. Therefore, how to grasp the equipment status and production status of the continuous cooling unit has become one of the indispensable factors for the production of high-quality products. [0003] In order to meet the needs of production, most iron and steel production enterprises have been equipped with corresponding production control systems, process quality systems, equipment monitoring systems, production management systems, inspection...

AI Technical Summary

Problems solved by technology

However, these systems are independent in the process of operation and analysis, and there is no cross-category data association. Therefore, in order to obtain complete whole-process data or solve a specific problem, it is often necessary to find useful information in multiple systems, and Due to the different data collection and recording methods, it is impossible to realize the complete association of steel coil information

The quality problems of specific steel coils and the inspection and laboratory data cannot be accurately correlated with the process data of the area and the passing equipment information, and accurate positioning information cannot be provided, so that the quality causes can be traced or the impact of equipment, technology, and previous processes on quality analysis is difficult

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