Method of identifying deviation of welding joint of rotating electric arc gas shielded welding based on rough set

Abstract

The invention discloses a method of identifying deviation of a welding joint of rotating electric arc gas shielded welding based on a rough set. The method utilizes a welding electric arc electric signal sensor, a welding electric arc position sensor, a data collecting card and the like to collect experimental data. Under a rough set modeling mode, the collected experimental data are used for constructing a decision table through a data preprocessing module, and a rough set model is constructed through an attribute reduction module, an attribute value reduction module and a rule reduction module. Under an online deviation prediction mode, the collected experiment data undergo processing by the data preprocessing module and are matched with the rough set model constructed under the rough set modeling mode. In addition, uncertain reasoning is utilized to predict deviation of the welding joint, and the deviation of the welding joint is output through a statistical module. According to the method of identifying deviation of the welding joint of rotating electric arc gas shielded welding based on the rough set, nonparametric modeling of identification of the deviation of the welding joint is achieved, system composition is simple, anti-interference capability is strong, engineering practicality is good, the welding joint deviation can be extracted in real time, and the method can be applied to a corresponding deviation device for real-time deviation.

Description

technical field [0001] The invention relates to the field of welding technology, in particular to a rough set-based method for identifying seam deviation of rotating arc gas shielded welding. The invention aims at the seam tracking of the rotary arc gas shielded welding, adopts the rough set method to extract the seam deviation, and overcomes the disadvantage that many algorithms in the past rely on accurate mathematical models and are easily interfered in application. Background technique [0002] As an efficient welding technology, rotating arc gas shielded welding is widely used in the field of medium and thick plate welding. In order to ensure the welding quality and avoid defects such as unfused side walls, it is necessary to ensure that the arc is at the center of the groove during the welding process. That is, real-time and effective tracking control is required, and the key is to be able to reliably extract weld seam deviations in real time. [0003] At present, the...

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Problems solved by technology

[0005] During high-speed rotating arc gas shielded welding, the molten metal is restrained by the side wall. At the same time, due to the high deposition rate of the welding wire, the liquid metal in the molten pool is thicker and the liquid level is larger. The arc shape has a special change rule, which makes The application effect of the existing arc sensing method needs to be re-verified, and there are a lot of uncertain factors in the welding process, such as the accumulation of molten iron at the back end of the molten pool, the stirring effect of the arc on the molten pool, low groove processing accuracy, assembly errors, Misalignment caused by workpiece assembly or thermal deformation, etc., will challenge the seam tracking algorithm, and it is difficult to carry out accurate mathematical modeling of the process, so intelligent modeling and control methods are valued

[0006] The authorized patent application number is 2007100342723, the magnetic control arc sensor type welding seam automatic tracking control method, this patent is mainly for TIG welding arc, and the other application number is 200910025826.2 patent, which uses the least squares method to fit the arc sensor during sinusoidal swing method to obtain the current waveforms corresponding to different deviations, and it is not aimed at rotating arc

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