With the widespread application of the Internet of Things, logistics automation and other technologies, the express delivery industry is evolving from traditional manual operations toward intelligence and smart operations. To align with the latest national policies on industry-education integration, meet the evolving talent demands of the market, and implement the application-oriented talent cultivation philosophy of Shenzhen Technology University, the SF Smart Logistics Productive Industry-Education Integration Training Base (hereinafter referred to as the Training Base) has been established.

Highlight 1: Joint Investment by University and Enterprise with SF as the Main Investor

The Training Base is an integral part of the industrial college jointly built by our university and SF Express. SF Express Group funds the construction, including venue renovation and procurement of storage facilities such as shelves. Our college provides the venue and purchases unmanned vehicles and drones.

Highlight 2: Dual Supervision by On-campus and Enterprise Mentors, Immersive Operational Scenarios to Enhance Students' Comprehensive Competence

Based on the Training Base and real campus logistics scenarios, students conduct big data analysis on logistics distribution, as well as planning, design and optimization of distribution systems, alongside the development of software and data platforms. By launching this joint training base, the enterprise aims to create authentic logistics and distribution scenarios for students, provide a platform for testing and applying their ideas, plans and designs, and support the early incubation of student entrepreneurship projects.

Ongoing research projects:

1.Research on Outdoor Unmanned Vehicle Distribution and Scheduling System Based on Multi-sensor Information Fusion

2.Planning and Design of Campus Unmanned Vehicle Distribution System

3.Functional Connection of Campus Unmanned Distribution System

4.Optimization Design for Efficiency Improvement of Campus Parcel Transit Center

5.Development of Campus Distribution Mini Program for Shenzhen Technology University

6.SolidWorks Modeling of Intelligent Logistics Handling Robots

Highlight 3: Enterprise Guidance in Early Stage & Student Independent Operation in Later Stage, Serving as an Entrepreneurship Platform

The Training Base operates in strict accordance with SF’s business standards and workflows. Professional mentors dispatched by SF provide supervision and guidance, while students take charge of daily operation and management.

Highlight 4: Serving Faculty, Students and Local Communities

Functioning as a regional parcel transit hub on campus, the base has built a campus-wide unmanned distribution system supported by unmanned vehicles and drones. As an official node within SF’s national logistics network, it undertakes parcel transit and delivery services, primarily for university faculty and students, while also covering surrounding communities.