Against the backdrop of the deep integration of the digital economy and the real economy, the digital and intelligent transformation of the steel pipe industry continues to accelerate. Traditional, extensive, and experience-based production management models are being completely reformed. A complete digital production system, centered on digital twin factories, MES production management systems, and AI visual intelligent inspection systems, has been implemented and widely adopted in the steel pipe production field, comprehensively reconstructing the entire process of steel pipe production, management, quality inspection, and warehousing. Traditional steel pipe production management models heavily rely on manual experience, resulting in arbitrary production scheduling, extensive equipment management, and lagging data statistics. This easily leads to problems such as unreasonable capacity allocation, inventory backlog, supply-demand mismatch, and equipment idling losses, resulting in low overall production and operational efficiency and difficulty in adapting to the demands of modern large-scale production. The establishment of a digital and intelligent manufacturing system enables enterprises to achieve data-driven production throughout the entire process. Through digital twin technology, the system replicates the production line's operating status 1:1, simulating, monitoring, and optimizing the entire production process in real time. It accurately captures changes in end-market demand and differences in order specifications, and intelligently optimizes production scheduling and inventory allocation plans by combining data on equipment operating conditions, raw material inventory, and capacity load. This precisely avoids ineffective capacity output and effectively solves long-standing industry pain points such as capacity waste, inventory backlog, supply-demand mismatch, and delivery delays, significantly improving the accuracy and flexibility of enterprise production operations. In the finished product quality inspection stage, the AI ​​vision online inspection system completely replaces the traditional manual quality inspection mode. Equipped with high-definition imaging and intelligent algorithms, it can perform high-speed, high-precision, fully automatic inspection of various defects in steel pipes, including dimensional accuracy, outer wall flatness, end face quality, internal cracks, and micropores. The inspection coverage is comprehensive, and the accuracy rate far exceeds that of manual inspection, completely eliminating missed or false inspections and preventing defective and substandard products from entering the market at the source. Comprehensive digital transformation has led to a qualitative improvement in the production and operational efficiency of the steel pipe industry. The industry's per capita output efficiency has increased by over 30%, production defect rates and rework rates have significantly decreased, and equipment utilization and order delivery rates have improved markedly. The comprehensive improvement of the digital and intelligent system has propelled the steel pipe industry to completely move away from the traditional manual-driven production model and into a new stage of modern production characterized by data empowerment, intelligent control, and high efficiency and quality, laying a solid digital foundation for the industry's high-quality development.