A robot control apparatus for a more precise seam tracking operation, includes: a storage unit in which teaching data is stored; an accepting unit that accepts a sensing result of a laser sensor, from a robot including a working tool and the laser sensor attached to the working tool and configured to detect a shape of a working target before an operation of the working tool; and a control unit that moves the working tool based on the teaching data, corrects the movement of the working tool based on the sensing result, and adjusts an angle about a tool axis such that an operation point indicated by the sensing result is at a center of a field of view of the laser sensor. Accordingly, an operation line can be detected near the center of the field of view of the laser sensor, and thus more precise detection is possible.

Disclosed are an adaptive control method and equipment of arc swing in narrow gap welding. The control equipment is composed of an infrared camera system, a computer image processing system, an arc swing parameter control system, a bent-conducting-rod-type swing arc torch and the like. The infrared camera system acquires, in an external triggering manner, an infrared image of welding area when an arc is deviated towards the left or the right side wall groove, extracts information about the width of the groove in real time after image processing by a computer, and calculates an arc swing angle target value. The arc swing parameter control system controls a motor drive mechanism to rotate a bent conducting rod, and drives the welding arc to conduct circular arc swing according to the swing angle target value, thereby realizing the adaptive control for the arc swing angle according to changes of the groove width.

An automated welding system includes a mounting platform configured to receive an object, a welding tool, an imaging device configured to acquire at least one image associated with the object, and a controller. The controller is configured to receive the at least one acquired image, analyze at least one pixel in the at least one acquired image, identify, based upon the analyzing, an area to be welded in the at least one acquired image, wherein the area to be welded includes a defect, and generate, based upon the identifying, control instructions for controlling at least one of the mounting platform and the welding tool to weld the area to be welded.

A welding device according to some embodiments includes a rotary table fixing two irregular shaped plates which are overlapped, a torch unit including a welding torch positioned to face outer peripheral edges of the two irregular shaped plates fixed to the rotary table, a torch actuator configured to move the welding torch toward and away from the outer peripheral edges, an after-shielding part mounted to the welding torch on downstream side in a rotational direction of the rotary table and having nozzles arranged along the rotational direction, configured to jet shielding gas to the outer peripheral edges, and including a first nozzle positioned upstream and a second nozzle positioned downstream of the first nozzle in the rotational direction, and a controller configured to control an orientation of the nozzle in a direction of decreasing a shielding-gas-jetting distance between the second nozzle and the outer peripheral edges welded by the welding torch.

An embodiment provides for storing, in a server, pipe segment data, e.g., pipe scan data derived from a pipe inspection robot that traversed through an interior of the segment of pipe. The pipe scan data may include three-dimensional (3D) and two-dimensional (2D) image data of the interior of the segment of pipe, where the 2D image data includes a flat graph formed from the 3D image data. In one example, infrastructure summary data is stored in the server, including a level of corrosion and a level of sediment buildup determined based on the pipe scan data. An infrastructure project summary report is based on the infrastructure summary data, and after receiving a request from a client device, the pipe segment data and the infrastructure project summary report are transmitted to the client device.

A method of aligning first and second pipes end-to-end in a position ready for welding. Each pipe has an end bevelled with a shape scanned and stored in memory of a control unit. At least one of the pipes has machine readable codes distributed around their circumference of the pipe. The method includes effecting relative movement of the ends of the first and second pipes towards each other, reading at least one of the codes with a reader, and ascertaining the relative movement required to align the pipes in accordance with a target orientation. The relative movement is ascertained with information provided by the read code and the shapes of the bevelled ends stored in the control unit memory. In other aspects, a closed loop control method and machine-learning may be used to align the pipes. A pipe-laying vessel including pipe handling equipment and the control unit is also provided.

An active laser vision robust weld tracking system, a weld position detection method, and a robust weld tracking algorithm are disclosed in the present invention. The active laser vision robust weld tracking system comprises a laser source, a laser vision sensor, an image processing system, an industrial robot, and an electrical control system. A laser stripe associated with weld profile information is recognized by the laser vision sensor through projecting structured light onto the surface of a weld, the weld feature information is extracted using an image processing method, the position of the weld is detected from the central line of the laser stripe, and then the intelligent tracking of the weld is achieved with a variety of control methods.

An apparatus includes a welding torch, a laser capable of projecting a beam towards a seam on a surface, a camera directed towards the surface, a memory, and a processor. The processor receives an image of the surface from the camera. Next, the processor determines, based on the reflection of the laser beam from the surface, a vertical distance from the torch to the seam. The processor adjusts the brightness and contrast of the image, applies a gamma correction, and applies at least one gradient filter to the image to produce a new image. Next, the processor determines a horizontal location of the seam in the new image, which it uses to determine a horizontal distance from the torch to the seam. Based on the vertical and horizontal distances from the torch to the seam, the processor adjusts a vertical and a horizontal position of the torch.

A welding program is created for performing spot welding by a program creation device. The program creation device includes a display unit configured to display an image, and an image generation unit configured to generate image data of a product model before being subjected to spot welding in accordance with shape data on a product and display the product model on the display unit, a display control unit configured to make a workpiece having a selected surface in the product model to be semitransparent, a welding portion setting unit configured to set welding portions to be allotted for the selected surface in the product model, and a program creation unit configured to create the welding program including related data for a welding robot with regard to the set welding portions.

A weld system for welding two pipes includes a frame, a plurality of rollers, a drive motor, a brake system, an inspection detector, a weld torch, one or more battery cells and one or more processors. The frame is configured to be placed within the pipes. The plurality of rollers is configured to rotatably support the frame. The drive motor drives the rollers to move the frame within the pipes. The brake system secures the frame from movement at a desired location within the pipes. The weld torch, the inspection detector and the one or more battery cells are carried by the frame. The inspection detector is configured to detect a characteristic of an interface region between the pipes. The one or more battery cells are configured to power the drive motor, the inspection detector and the weld torch.