Plate-belt temperature monitoring method during hot-rolled strip steel stream cooling process

Abstract

The invention relates to a method for monitoring the temperature of a hot rolled ribbed steel layer flow cooling process slab band in the field of metallurgical industry. The invention monitors the slab band temperature distribution at each position between an outlet of a finishing mill and a curling temperature measuring point aiming to the hot rolled ribbed steel layer flow cooling process. The invention adopts the slab band physical property parameter and the parameter of a cooling device to directly write initial predicted slab band temperature distribution of a slab band temperature model in the form of state space. According to the curling temperature of the upper surface and the lower surface of the slab band, the initial predicted value is corrected by adopting the method for expanding Kallman filtering so as to obtain the slab band temperature monitoring value. The method has convenient application, is suitable for various steel grades, improves the monitoring accuracy of the slab band temperature distribution and reduces the requirement on the model accuracy.

Description

technical field [0001] The invention relates to a temperature monitoring method in the technical field of metallurgical industry, in particular to a strip temperature monitoring method in the laminar flow cooling process of hot-rolled strip steel. Background technique [0002] With the continuous emergence of new materials, the automotive industry needs lighter steel plates that can maintain a certain level of strength and toughness. In order to improve the performance of steel, in addition to adding alloys, the controlled cooling technology after rolling plays a vital role in the performance of steel. Therefore, a highly flexible and high-precision control method is urgently needed in the laminar cooling process of hot rolling. In order to obtain higher control accuracy and overcome the disturbance of the cooling process, it is first necessary to know the strip temperature in the cooling zone. However, in the laminar cooling process of hot-rolled strip, due to the existen...

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Problems solved by technology

However, this method is a forward estimation method, the model does not reflect the relationship between the points, and there is no feedback correction, the model accuracy is strictly required

Xie H.B etc. published "Prediction of coiling temperature on run-out table of hot strip mill using data mining" ( Application of data mining to predict coil temperature of hot-rolled strip) proposed to use neural network to predict coil temperature of strip, however, this method cannot predict transient temperature of strip in water cooling zone

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