方大特钢新立项38项科研项目

Core Viewpoint - Fangda Special Steel (600507) has announced the initiation of 38 new research projects by 2026, focusing on new technologies, materials, processes, products, and artificial intelligence to drive high-quality development through comprehensive technological innovation [1] Group 1: Research Projects - The newly initiated projects include the design and application of a quality research center for 200 continuous casting billets, an automatic re-inspection system for bundled rebar based on the YOLO-v8 deep learning model, and intelligent control technology for centrifugal air compression stations [2] - The automatic re-inspection system aims to achieve an accuracy rate of no less than 98% in counting without human intervention, significantly reducing labor costs and counting errors [2] - The intelligent welding equipment research focuses on precise control and data feedback, achieving real-time collection of weld pool width with a precision of ±0.1mm and a recognition rate of over 95% for typical welding defects [2] Group 2: Product Development - The company will implement a quality research project for 200 continuous casting billets to enhance the internal control rate of spring steel billets [3] - New specifications for spring flat steel will be developed and tested to meet the needs of commercial vehicles, with small batch trials planned after fatigue life validation [3] - The company will also conduct research on controlling the yield ratio of rebar products to meet European standard EN10080 requirements, ensuring stability in the yield ratio for Φ6 and Φ8 specifications [3] Group 3: Innovation Network - Fangda Special Steel has established an innovation network covering basic research, technology transfer, and full employee participation, generating over tens of millions in annual benefits through various forms of QC project tackling and minor improvements [3] - The implementation of these 38 research projects represents a continuation of the company's innovative gene and a proactive layout to address the trends of product structure optimization and green intelligent transformation in the steel industry [3]