两地多场景大宗运输的数智化破局：迁安新钢联的安全与运力协同实践

Core Insights - Migan New Steel Union focuses on "Tangshan Shougang finished product transportation + Guangxi limestone trade" as a comprehensive logistics enterprise, with an annual freight scale of 80 million, playing a significant role in short-distance transportation and trade of bulk goods in the region [1] Group 1: Safety Management - The collaboration with G7 Yiliu aims to establish a closed-loop safety management system focusing on managing "in-transit risks" and identifying high-risk drivers [1] - Key risks identified include fatigue driving, distracted driving, and intersection risks, with AI algorithms used for precise risk identification and real-time alerts to reduce accident rates [1] - 20% of high-risk drivers are responsible for 80% of accidents, and the company plans to monitor and train these drivers based on historical data and risk behaviors [1] Group 2: Capacity Integration - The partnership leverages years of accumulated vehicle capacity resources on the platform to quickly address capacity gaps for Migan New Steel Union's external cooperation needs [2] - The integration of big data and AI enables precise matching of transportation resources between Tangshan and Guangxi, addressing safety monitoring and capacity issues across multiple scenarios [2] - This collaboration establishes a digital management paradigm that combines "new energy short-distance adaptation + traditional vehicle cross-regional operation + safety and capacity synergy," providing a replicable model for similar logistics enterprises in bulk trade and cross-regional transportation [2]