Soft-detection method for thickness of flexible belt material

Abstract

The invention relates to a soft-detection method for the thickness of a flexible belt material, which is used for solving the problems of high price of a detection sensor, low measuring accuracy and the like existing in the conventional detection method. The method disclosed by the invention comprises the following steps of: calculating the winding diameter according to pulse frequency signals output by photoelectric encoders on a winding shaft and an adjacent shaft; establishing a real-time winding diameter data column at moments when the winding shaft rotates by a circle and the photoelectric encoder of the winding shaft outputs a marking signal of each circle; and calculating a difference value between a current winding diameter and winding diameters acquired in first N times and averaging N according to different requirements of a user on the winding diameter data smoothness, wherein through recursion, every time the winding shaft rotates by one circle, a real-time thickness signal of the flexible belt material can be acquired for later use in a system. The method has the advantages of no need of increasing any sensor or hardware configuration of the conventional system, no need of regular calibration, high output data smoothness and flexible user setting, and is particularly suitable for the processing and winding processes of various flexible belt materials which need thickness detection.

Description

technical field [0001] The invention belongs to the field of industrial automation, and relates to a soft detection method for strip thickness used in coiling processing production equipment for coilable strips. Background technique [0002] Strip thickness is an important parameter in the processing and production of various coilable strips such as flexible packaging materials, metal foil strips, and textiles. Strip thickness is not only one of the main technical specifications of strip products, but also a Other parameters in processing, production (eg strip tension, etc.) have a significant influence. At present, in the production of strip raw materials, for example, in the process of producing plastic films by blow molding machines, online thickness detection devices based on ray sensors are mainly used, and the thickness of the produced plastic films meets product requirements through the thickness control system , but this type of ray sensor is not only expensive, but...

AI Technical Summary

Problems solved by technology

At present, in the production of strip raw materials, for example, in the process of producing plastic films by blow molding machines, online thickness detection devices based on ray sensors are mainly used, and the thickness of the produced plastic films meets product requirements through the thickness control system , but this type of ray sensor is not only expensive, but also has a negative impact on the operator's health; and in various subsequent processing of winding strips, the thickness of the strip has a great impact on the processing process and the quality of the finished product. For example, in plastic film compounding, color printing, slitting and other processing equipment, the tension control performance of the unwinding and winding process is greatly affected by the thickness of the strip. At present, in such processing equipment, manual off-line measurement is generally used The method of thickness is input by the operator into the control system of the production equipment. The disadvantage of this method is that each roll of strip is only measured once before processing, and the accuracy of manual measurement is low, and it cannot reflect the continuous processing of the strip. The problem of uneven thickness objectively existing in production, and the thickness change (forced deformation) caused by different winding tensions, etc.