In the multimodal transport of China-Australia freight, technology empowerment has achieved efficient allocation of transportation resources, real-time sharing of logistics information and business collaboration through cutting-edge technologies such as the Internet of Things, big data, artificial intelligence, and blockchain. This has significantly improved transportation efficiency, reduced logistics costs, and promoted the development of multimodal transport towards intelligence and greenness. The specific directions of technology empowerment and case studies are as follows:
I. Internet of Things and Big Data: Achieving Full-Process Visualization and Information Intercommunication
Real-time Monitoring and Trajectory Tracking
By using Internet of Things technology, sensors are installed on transportation tools such as containers, vehicles, and ships to collect real-time data on location, temperature, humidity, etc., combined with the Beidou/GPS positioning system, to achieve full-process trajectory tracking of goods from the departure point to the destination. For example, the intelligent multimodal transportation system of Zhongcui Zhiyun integrates Beidou positioning and Internet of Things technology, providing functions such as precise positioning, electronic fences, and trajectory tracking, ensuring real-time monitoring of the entire transportation route of road, rail, and waterway.
Data Fusion and Sharing
Establishing unified data standards and interface specifications, breaking information silos, and achieving reliable aggregation of data from all parties involved such as shippers, carriers, ports, and customs. For instance, units like Nanjing University of Science and Technology have used blockchain technology to achieve "point-to-point" transmission and information encryption of data for all parties involved in multimodal transportation, with an information intercommunication rate exceeding 90%. The annual data exchange volume covers more than 3 million TEUs of user business volume and exceeds 12 million tons of freight volume.
II. Artificial Intelligence: Optimizing Transportation Routes and Intelligent Scheduling
Intelligent Route Planning
Introducing advanced algorithms such as smart logistics large models, dynamic adjustments of transportation routes based on real-time traffic conditions, weather, port congestion, etc., to optimize time, cost, and resource utilization. For example, the AI networking routing capability of Zhongcui Zhiyun can analyze data on the efficiency, cost, etc. of the public, railway, and waterway transportation network, forming thousands of potential logistics combination schemes, and providing multi-dimensional intelligent solutions such as "priority in time" and "priority in price", enabling "one-click generation" of logistics plans.
Automation Decision-making and Loading
Using AI algorithms to achieve vehicle and cargo matching, intelligent loading and scheduling optimization. For instance, the intelligent matching algorithm model of Zhongcui Zhiyun precisely recommends货源 to drivers/shipowners with the most suitable return routes， time， and vehicle type， reducing matching time by 30% and increasing the intelligent matching transaction rate by 10%.
III. Blockchain： Ensuring Data Security and Trust
Electronic Bills of Lading and Paperless Management
Through blockchain verification， electronic signatures， etc.， ensuring the authenticity and security of electronic documents such as multimodal transportation orders and cargo title bills， achieving full-process paperless management. For example， Zhongcui Zhiyun supports "one-document system" bulk cargo transportation in any combination scenarios， allowing customers to achieve one-time commissioning， one-stop operation， and one-time settlement through "one-document system"， significantly improving the efficiency of document circulation.
Supply Chain Finance Empowerment
Based on the immutable characteristics of blockchain， providing trustworthy "digital evidence" for supply chain upstream and downstream enterprises， promoting the upgrade of "business data" to "digital credit". For example， the "Chain Magic Cube" risk control decision engine of Zhongcui Zhiyun provides reliable basis for bank supply chain financing credit granting， solving the pain point of "difficult and expensive financing for enterprises".
IV. 5G and Automated Equipment： Enhancing Operational Efficiency
Automated Terminals and Intelligent Transshipment
5G technology promotes the intelligence of port equipment， enabling unmanned vehicles， automated cranes， etc. to operate efficiently. For example， Qingdao Port and Tianjin Port have applied unmanned equipment， significantly improving the level of intelligent transshipment and service quality in the multimodal transportation sector.
Warehouse Robots and Drone Applications
Deploying warehouse robots， drones， etc. at nodes such as warehouses and stations to achieve rapid sorting， handling， and inventory of goods. For instance， in the multimodal transportation process， Zhongcui Zhiyun provides functions such as station access control， weighbridge， and video surveillance， combined with warehouse robots to enhance operational efficiency.
V. The actual effects of technology empowerment
Cost Reduction and Efficiency Enhancement
Through technology optimization， multimodal transportation can significantly reduce logistics costs. For example， the intelligent multimodal transportation system of Zhongcui Zhiyun helps customers reduce transportation costs by approximately 5%， increase transportation efficiency by 10%； in the "Meng Coal Export" project， transportation time was reduced by 20%， and annual cost savings were approximately 4.8 million yuan.
Green Sustainability Technology empowerment drives the transformation of multimodal transport towards greener practices. For instance, by optimizing transportation routes to reduce idle travel and lower carbon emissions; promoting new energy-powered ships and electric trucks to minimize pollution emissions.
Service upgrade
Technologies such as full-process visualization and intelligent customer service enhance the customer experience. For example, the AI intelligent customer service of Zhongcun Zhiyun covers scenarios like intelligent outbound calls, online customer service, and dialect recognition, with an automated resolution rate exceeding 70%, significantly improving customer satisfaction.
