Importing and analyzing external data using a virtual reality welding system
A real-time virtual reality welding system including a programmable processor-based subsystem, a spatial tracker operatively connected to the programmable processor-based subsystem, at least one mock welding tool capable of being spatially tracked by the spatial tracker, and at least one display device operatively connected to the programmable processor-based subsystem. The system is capable of simulating, in virtual reality space, a weld puddle having real-time molten metal fluidity and heat dissipation characteristics. The system is further capable of importing data into the virtual reality welding system and analyzing the data to characterize a student welder's progress and to provide training.
1. A method comprising:
importing a first data set of welding quality parameters, being representative of a quality of a weld generated by a student welder during a real-world welding activity corresponding to a defined welding process, into a virtual reality welding system having a mock welding tool and a mock welding coupon;
comparing a second data set of welding quality parameters stored on the virtual reality simulator, being representative of a quality of a virtual weld generated by the student welder during a simulated welding activity corresponding to the defined welding process on the virtual reality welding system, to the first data set using a programmable processor-based subsystem of the virtual reality welding system; and
generating a numerical comparison score in response to the comparing using the programmable processor-based subsystem of the virtual reality welding system.
2. The method of claim 1 , wherein the numerical comparison score is representative of a total deviation in weld quality between the first data set and the second data set.
3. The method of claim 1 , further comprising:
importing a third data set of welding quality parameters, being representative of a quality of an ideal weld generated by an expert welder during a real-world welding activity corresponding to the defined welding process, into the virtual reality welding system;
comparing the second data set to the third data set using the programmable processor-based subsystem of the virtual reality welding system; and
generating a numerical student score in response to the comparing using the programmable processor-based subsystem of the virtual reality welding system.
4. The method of claim 3 , wherein the numerical student score is representative of a total deviation in weld quality from the ideal weld.
5. The method of claim 3 , wherein the expert welder is a robotic welder.
6. The method of claim 3 , wherein the expert welder is a human welder.
7. A method comprising:
importing a first data set of measured welding parameters, generated during a real-world welding activity corresponding to a defined welding process performed by an expert welder using a real-world welding machine, into a virtual reality welding system having a mock welding tool and a mock welding coupon;
storing a second data set of simulated welding parameters, generated during a simulated welding activity corresponding to the defined welding process as performed by a student welder using the virtual reality welding system, on the virtual reality welding system;
calculating a plurality of expert welding quality parameters based on the first data set using a programmable processor-based subsystem of the virtual reality welding system; and
calculating a plurality of student welding quality parameters based on the second data set using the programmable processor-based subsystem of the virtual reality welding system.
8. The method of claim 7 , wherein the expert welder is a robotic welder.
9. The method of claim 7 , wherein the expert welder is a human welder.
10. The method of claim 7 , further comprising:
comparing the plurality of expert welding quality parameters to the plurality of student welding quality parameters using the programmable processor-based subsystem of the virtual reality welding system; and
generating a numerical student score in response to the comparing using the programmable processor-based subsystem of the virtual reality welding system.
11. The method of claim 10 , wherein the numerical student score is representative of a total deviation in student weld quality from expert weld quality.
12. A method comprising:
storing a first data set of simulated welding parameters, generated during a first simulated welding activity corresponding to a defined welding process performed by an expert welder using a virtual reality welding system, on the virtual reality welding system that includes a mock welding tool and a mock welding coupon;
storing a second data set of simulated welding parameters, generated during a second simulated welding activity corresponding to the defined welding process as performed by a student welder using the virtual reality welding system, on the virtual reality welding system;
calculating a plurality of expert welding quality parameters based on the first data set using a programmable processor-based subsystem of the virtual reality welding system; and
calculating a plurality of student welding quality parameters based on the second data set using the programmable processor-based subsystem of the virtual reality welding system.
13. The method of claim 12 , wherein the expert welder is a robotic welder.
14. The method of claim 12 , wherein the expert welder is a human welder.
15. The method of claim 12 , further comprising:
comparing the plurality of expert welding quality parameters to the plurality of student welding quality parameters using the programmable processor-based subsystem of the virtual reality welding system; and
generating a numerical student score in response to the comparing using the programmable processor-based subsystem of the virtual reality welding system.
16. The method of claim 15 , wherein the numerical student score is representative of a total deviation in student weld quality from expert weld quality.
17. A method comprising:
importing a digital model representative of a welded custom assembly into a virtual reality welding system having a mock welding tool and a mock welding coupon;
analyzing the digital model to segment the digital model into a plurality of sections using a programmable processor-based subsystem of the virtual reality welding system, wherein each section of the plurality of sections corresponds to a single weld joint type of the welded custom assembly; and
matching each section of the plurality of sections to a virtual welding coupon of a plurality of virtual welding coupons modeled in the virtual reality welding system using the programmable processor-based subsystem of the virtual reality welding system.
18. The method of claim 17 , further comprising generating a virtual welding training program that uses the virtual welding coupons corresponding to the matched sections of the digital model representative of the welded custom assembly using the programmable processor-based subsystem of the virtual reality welding system.
19. The method of claim 17 , wherein each of the virtual welding coupons corresponds to a mock welding coupon of the virtual reality welding system.
20. The method of claim 17 , wherein the single weld joint type includes one of a butt joint, a tee joint, a corner joint, an edge joint, or a lap joint.