US 11,980,973 B2
Weld spot analytics
Matteo Dariol, Hoffman Estates, IL (US); Benjamin Menz, Floersbachtal (DE); Scott Hibbard, Chicago, IL (US); and Yaozhong Chen, Glen Ellyn, IL (US)
Assigned to Robert Bosch GmbH, Stuttgart (DE)
Filed by Robert Bosch GmbH, Stuttgart (DE)
Filed on Apr. 9, 2021, as Appl. No. 17/226,916.
Claims priority of provisional application 63/007,821, filed on Apr. 9, 2020.
Prior Publication US 2021/0316403 A1, Oct. 14, 2021
Int. Cl. B23K 31/12 (2006.01); B23K 31/00 (2006.01); G05B 19/4155 (2006.01); G06N 3/08 (2023.01)
CPC B23K 31/125 (2013.01) [B23K 31/006 (2013.01); G05B 19/4155 (2013.01); G06N 3/08 (2013.01); G05B 2219/32368 (2013.01); G05B 2219/45135 (2013.01)] 15 Claims
OG exemplary drawing
 
1. An adaptive welding system comprising:
a first welding machine;
an edge computing system configured to gather weld data from the first welding machine during a welding process; and
a weld analytics system configured to determine an overall weld quality for a plurality of welds performed in the welding process and to build an optimized operational model for the first welding machine based at least upon the weld data and the overall weld quality,
wherein the weld analytics system is further configured to deploy the optimized operational model to the first welding machine by transmitting the optimized operational model to the edge computing system for deployment to the first welding machine,
wherein the weld data includes splatter data, and
wherein building the optimized operational model includes
detecting a splatter trend in the splatter data and,
modifying an operational model to reduce the splatter trend.