Article Details

Title · Authors · Abstract · Keywords · DOI · References

Design and Practice of a Full Process Management System for Steel Bar Materials Based on Digital Technology

TAN Guanhua, WANG Zheng, FAN Qi, QIAN Keyuan

(China Railway Eryuan Engineering Group Co., Ltd., Chengdu 610031, China)

Section:Intelligent Manufacturing · Vol. 2026, Issue 5 · Pages:175-180,187 · 2096-4706(2026)05-0175-07 · CLC number:TP278 · Document code:A · DOI:10.19850/j.cnki.2096-4706.2026.05.032

Abstract

To solve the problem of traditional steel bar cutting relying on manual labor and high losses, a steel bar material management system is specially designed to promote the digital transformation of infrastructure. The system is built on an integrated architecture of software, hardware, and algorithms. Through modules such as demand material list management, raw material management, and cutting scheme optimization, it achieves full-process control of steel bar data, automatic generation of optimal solutions, and automatic control of cutting operations. Through the application verification of China Railway projects, the system can significantly reduce steel bar loss rates to below 3%, directly cutting construction costs, and achieve data traceability, providing feasible technical solutions for the digital transformation of building steel bar management.

Keywords

steel bar; infrastructure; intelligentization; system

References

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Funding

China Railway (Practical 2023 Key 05)

About the authors

Tan Guanhua (1993-), male, Han ethnicity, from Chenzhou, Hunan, engineer, master's degree, research direction: railway signaling, urban rail transit informatization; Wang Zheng (1990-), male, Han ethnicity, born in Nanchang, Jiangxi Province, is a senior engineer with a master's degree. His research focuses on the digitization, intelligence, and intelligence of urban rail transit; Fan Qi (1990-), male, Han ethnicity, from Changzhou, Jiangsu, is a senior engineer with a master's degree. His research focuses on the digitization, intelligence, and intelligence of urban rail transit.