Welding Performance Dashboard for Multi-System Data Comparison
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Solution Overview
Problem
Current systems for monitoring and analyzing welding system performance lack the ability to effectively gather, analyze, and compare data across multiple locations and systems, limiting their utility in tracking weld quality, system performance, and resource management.
Innovation Solution
A metal fabrication resource performance monitoring system that accesses and processes data from welding systems and support equipment, allowing for the creation of user-viewable dashboard pages with graphical indicia, enabling data analysis and comparison across different systems and locations, and facilitating goal setting and historical performance tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data is gathered from multiple locations and systems, then the comprehensiveness of performance monitoring is improved, but the complexity of data management and analysis increases
Solution Approach 1:
The patent combines data from multiple welding systems and locations into a centralized monitoring platform that aggregates performance data, goals, and analysis into a unified system. This merging approach maintains data completeness while managing complexity through centralized processing and standardized data structures.
Solution Approach 2:
The monitoring system is designed to universally handle data from various welding systems, locations, and parameters through a multi-functional platform that can collect, store, analyze, and report on diverse data types using consistent methods and interfaces.
2Reliability
If detailed analysis and tracking capabilities are added, then the usefulness of performance monitoring is improved, but the complexity of the system increases
Solution Approach 1:
The system implements feedback mechanisms by comparing actual welding performance data against predefined goals and standards, providing automated analysis and reporting that enhances tracking accuracy while managing complexity through rule-based evaluation and standardized metrics.
3Productivity
If real-time monitoring and reporting are implemented, then operational efficiency is improved, but the computational requirements and system complexity increase
Solution Approach 1:
The system implements real-time monitoring for critical parameters while using periodic or aggregated analysis for less time-sensitive metrics, balancing operational efficiency needs with computational resource requirements through selective real-time processing.
Data Source
AI summary
An metal fabrication resource performance monitoring method includes: acquiring data representative of a plurality of parameters sampled during metal fabrication operations of a plurality of metal fabrication resources, the parameters comprising arc on time and wire deposition quantity; via at least one computer processor, analyzing a first subset of the acquired data and a second subset of the acquired data for the plurality of metal fabrication resources; via the at least one computer processor, populating a user viewable page with graphical indicia representative of at least the arc on time and the wire deposition quantity, the user viewable page facilitating a visual comparison of the analysis of the first subset of the acquired data and the analysis of the second subset of the acquired data; and transmitting the user viewable dashboard page to a user viewable display.