Online detection equipment for surface roughness of cold-rolled strip steel and regressive and smooth adaptive filtering method thereof

Abstract

The invention provides online detection equipment for the surface roughness of a cold-rolled strip steel and a regressive and smooth adaptive filtering method thereof. The corresponding equipment is used for detection, noise-reduction pretreatment is conducted on a surface roughness online-detection initial parameter through robust locally-weighted regression, a quadratic weighing function is established, and a weight is updated according to the relative positions between historical data and current data and the residual between a smoothed value and the actual value; and when the change of adjacent data is beyond a set threshold value, the width of a smooth window is decreased automatically, adaptive variable-step-length regressive and smooth filtering of online detection data of the roughness is achieved, and the detection precision of the surface roughness of the cold-rolled strip steel is improved. By adoption of the online detection equipment for the surface roughness of the cold-rolled strip steel and the regressive and smooth adaptive filtering method thereof, accurate and rapid online detection of the surface roughness of the strip steel can be achieved, the detection precision of the surface roughness of the cold-rolled strip steel is greatly improved, the offline detection technique can be replaced by the online detection technique easily, and the product efficiency and quality are improved.

Description

technical field [0001] The invention belongs to the technical field of strip steel cold rolling, and relates to an online detection device and a filtering method for the surface roughness of a strip steel, in particular to a high-precision online detection device for the surface roughness of a cold-rolled strip steel and its regression smoothing self-adaptation filtering method. Background technique [0002] Downstream users of the iron and steel industry have increasingly strict quality requirements for cold-rolled strip products. Surface roughness is very important for cold-rolled sheets. It is a key factor affecting the formability of steel sheets and an important factor for the quality of cold-rolled products. One of the indicators. At present, in the production practice of cold-rolled strip steel, the usual way to monitor the surface roughness of the strip steel is to carry out the monitoring of the surface roughness of the strip steel at the outlet of the relevant col...

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Problems solved by technology

Existing filtering algorithms mainly use high-pass filters. Although the speed is good, the accuracy and precision of parameter detection are difficult to improve due to the limitation of a single filtering condition of the high-pass filter. Seeking a fast and high-accuracy filtering algorithm has become an expansion The Bottleneck in the Application of Scattering Method for On-line Detection of Surface Roughness of Strip Steel

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