Core Viewpoint - The article highlights the significant advancements made in rail welding technology through the application of digital intelligence, particularly focusing on the contributions of Xue Jipeng over the past nine years in developing a comprehensive data analysis system for rail welding processes. Group 1: Technological Advancements - Since 2016, Xue Jipeng has dedicated efforts to utilizing digital intelligence technology to control the quality of rail welding, resulting in the creation of over 20,000 program files and more than 1 million lines of code [1][2] - A complete rail welding head undergoes 16 processes, requiring meticulous control of numerous craft data, which has been effectively managed through a big data analysis system developed by Xue Jipeng [2][3] - The system records images and data for each production process, allowing for precise tracking and innovation in welding techniques [2] Group 2: Process Improvements - The automated evaluation program for flaw detection developed by Xue Jipeng utilizes 73,000 pixel points and 11 rolling machine templates for comparative analysis of flaw detection data [2] - Initial monitoring systems were basic and unable to store or analyze data electronically, leading to production delays when data errors occurred; Xue's improvements have significantly reduced these issues [3][5] - The time required for flaw detection analysis has been drastically reduced from 10 minutes to just 10 seconds due to the new automated evaluation program [6] Group 3: Personal Contributions and Learning - Xue Jipeng undertook extensive self-study in statistics, programming languages, and data analysis, which enabled him to streamline data auditing processes from 16 hours to just 4 hours [5] - His innovative approach to converting welding images into digital signals has facilitated the transition from digitalization to intelligent data processing in rail welding [6] - Xue aims to be a pioneer in advancing welding technology from digital to intelligent processes, emphasizing the importance of mathematical models and program coding in the industry [6]