Systems and methods for welding asset tracking are disclosed. In some examples, a welding asset tracking system may comprise an asset tracking network of tags, hubs, and/or gateways retained by welding assets within a welding area. The asset tracking network may obtain and/or communicate to an asset tracking server welding data related to one or more of the welding assets, as well as position data obtained via an internal and/or external positioning system. In this way, the welding asset tracking server may continually receive updated information regarding each welding assets identity, location, and/or use. The asset tracking server may additionally send a command to a selected welding asset that causes an interface of the selected welding asset to emit an output that enables an operator to physically identify the welding asset.

A welding system includes a first sensor associated with a welding helmet and configured to sense a parameter indicative of a position of a welding torch relative to the welding helmet. The travel speed sensing system also includes a processing system communicatively coupled to the first sensor and configured to determine a position of the welding torch relative to a workpiece based on the sensed first parameter.

A welding system includes a first sensor associated with a welding helmet and configured to sense a parameter indicative of a position of a welding torch relative to the welding helmet. The travel speed sensing system also includes a processing system communicatively coupled to the first sensor and configured to determine a position of the welding torch relative to a workpiece based on the sensed first parameter.

Advanced device for the welding training based on simulation with Augmented reality and with remote updates that allows the simulation of: all the industrial welding types—s electrode stick (SMAW), MIG/MAG (GMAW, FCAW) and TIG (GTAW)—; all the materials; all the joint types and, also all the welding positions (1Fa 4F, 1G a 6G, 6GR, etc.). It offers an accurate simulation of a real welding equipment thanks to the use of the Augmented Reality technology, which allows the interaction between different elements in several layers. All this is implemented by a monitoring and student evaluating system that allows the teacher to control remotely what is happening in the classroom in real time and without the necessity of being physically present in the training.

The invention relates to a method for determining the performance of a welding method carried out on a metal workpiece, in particular an electric arc welding or laser welding method, with the following steps: introducing one or more extracts of the initial image each having at least one presumed projection, as input to at least one neural network, in particular a convolutional neural network, so as to classify the presumed projections as confirmed or unconfirmed projections, carrying out a second digital processing operation on the initial image comprising the previously classified projections so as to determine at least one parameter representative of the quantity of confirmed projections chosen from the surface of one or more projections.

The shape profile of an existing weld bead is measured by a non-contact type shape sensor provided integrally with a welding torch on a robot tip end shaft, midway through molding of a laminate molded object on the basis of a lamination trajectory plan. First geometric information relating to the bead shape is extracted from the shape profile and the target position of the welding torch, second geometric information corresponding to the first geometric information is extracted from the deposition track plan, and an offset amount is calculated from the first geometric information and the second geometric information. In accordance with the offset amount, the deposition track plan is updated by updating at least one of the bead height and the bead width of the weld bead determined by the deposition track plan, and the welding conditions are updated in accordance with the update result of the deposition track plan.

Provided is a disclosure for a welding system with a display device configured to display an electronic parameter chart for use in setting up the welding system for use.

Provided is a disclosure for a welding system with a display device configured to display an electronic parameter chart for use in setting up the welding system for use.

Methods and apparatus to provide a consistent electrode state for welding, an example welding-type system includes: a first wire drive to feed an electrode wire through a welding torch; a bidirectional assisting wire drive to advance the electrode wire from a wire supply to the first wire drive; a tension-compression detector to detect a first tension-compression state of the electrode wire; and one or more motor controllers to control the first wire drive and the assisting wire drive to put the electrode wire in a predetermined position relative to the welding torch by: controlling the first wire drive to hold the electrode wire; and controlling the assisting wire drive to advance or retract the electrode wire based on the first tension-compression state to put the electrode wire in a second tension-compression state.

A welding system including a fine tuning knob and a coarse adjustment knob for setting a weld wire feed speed are provided. The welding system may include a welder having the coarse adjustment knob and a spool gun having the fine tuning knob. A user may adjust the knob on the welder to set a coarse adjustment wire feed speed and may adjust the knob on the spool gun to fine tune the wire feed speed setting.