System and Method to Facilitate Welding Software as a Service

摘要

A weld production knowledge system for processing welding data collected from one of a plurality of welding systems, the weld production knowledge system comprising a communication interface communicatively coupled with a plurality of welding systems situated at one or more physical locations. The communication interface may be configured to receive, from one of said plurality of welding systems, welding data associated with a weld. The weld production knowledge system may comprise an analytics computing platform operatively coupled with the communication interface and a weld data store. The weld data store employs a dataset comprising (1) welding process data associated with said one or more physical locations, and/or (2) weld quality data associated with said one or more physical locations. The analytics computing platform may employ a weld production knowledge machine learning algorithm to analyze the welding data vis-à-vis the weld data store to identify a defect in said weld.

主权项

1. A welding system comprising:
a first processing circuitry to process a first welding input from a first data source to define first welding data, wherein the first data source is associated with a weld, weldment, or weld process; a second processing circuitry to process a second welding input from a second data source to define second welding data, wherein the second data source is associated with the weld, weldment, or weld process; and a communication network communicatively coupled with the first processing circuitry, the second first processing circuitry, and a remotely situated analytics computing platform,
wherein the communication network communicates the first welding data and the second welding data to said remotely situated analytics computing platform via a communication network,wherein the remotely situated analytics computing platform is facilitated via a cloud computing framework that employs a distributed and scalable file system running on commodity cluster hardware,wherein the remotely situated analytics computing platform associates the first welding data with the second welding data based at least in part on tag data to define a welding data set,wherein the remotely situated analytics computing platform generates or updates a large scale dataset based at least in part on said welding data set, the large scale dataset comprising weld operational, production and productivity data, weld quality data, weldment quality data, welding process data, and welding machine parameters data collected from a plurality of heterogeneous data sources, andwherein the remotely situated analytics computing platform employs a production knowledge machine learning algorithm to analyze the welding data set vis-à-vis the large scale dataset to predict a characteristic of the weld, weldment, or weld process.