By precise positioning of personnel, equipment, cargo, and site, and using intelligent scheduling engines and digital twins to assist port planning and scheduling personnel, efficiency is greatly improved. Through intelligent equipment transformation and unmanned equipment, the efficiency of dock operations is enhanced.

1. Capable of monitoring stationed areas within a five kilometer radius
2. Capable of mobile deployment with the stationed area.
3. Able to easily and effectively distinguish low altitude unmanned aerial vehicles, personnel, and vehicle information.
4. Able to set up regional level monitoring and delineation within the monitoring range.
5. Able to distinguish between close and far targets and set different monitoring strategies.

Government end: Urban metaverse twin base and spatial computing platform, serving government metaverse, various scenario applications, as well as unmanned vehicles, robots, etc
Industry side: A metaverse urban space that integrates offline and online. Enterprise interaction and investment promotion are no longer limited to physical investment promotion, breaking the traditional economic model of "how many enterprises per 10000 square meters"
Consumer end: Space is the entrance, more precise, fast, and low-cost to reach the target customer group, providing customers with a metaverse service model anytime, anywhere: virtual restaurants, virtual cafes, and virtual banks are everywhere.

3D imaging visualization
Multiple display terminals and multiple control modes
Real time dynamic monitoring to improve security
Continuous rotation accelerates scanning refresh speed and improves product lifespan
Intelligent inventory system, replacing manual inspection or inventory measurement, reducing costs and increasing efficiency
Remote cloud processing technology enables multi operation terminals, multi location monitoring, and multi location control
Unrestricted by working conditions, automatic splicing and registration complete precise measurement of large storage devices;

1. In terms of space resource management and utilization, it is necessary to achieve classified management of different types of spaces, real-time grasp of space utilization to make flexible adjustments, and achieve maximum utilization
2. In terms of personnel management, our main goal is to achieve cost reduction and efficiency improvement in operations and office work, provide humanized services, and enhance user satisfaction
3. In terms of asset equipment management and utilization, it is necessary to ensure the normal and efficient operation of equipment, real-time grasp the linkage status of equipment, and ensure the safety and service life of equipment use
4. In terms of service and experience improvement, automation and intelligent processes are used to reduce manpower investment, improve service levels and management efficiency.

Support carriers/drivers to make pick-up and delivery appointments through web and app platforms
Support warehouse/scheduling to specify pick-up or delivery plans, designate carriers/drivers to carry out pick-up or delivery operations during specific time periods, and supervise and assess their actual completion status
Truck drivers can achieve a map of receiving and delivering goods throughout the province, similar to a Didi model, to increase driver income and enhance managers' comprehensive understanding of the source of goods, goods, and driver dynamics.

In 2024, we will establish a unified group level large model basic service platform and basic computing power, train port specific business large models, and build fine-tuning and independent research and development platform capabilities for this large model. And conduct pilot applications in large-scale model scenarios to improve accuracy and applicability, ensuring application effectiveness.

Centralized scheduling based on high-precision map to build "upper perspective"
Aggregate real-time berth, quay crane, yard bridge and other business data information obtained from the TOS system, as well as dynamic data information reported in real-time by ART, and build a dynamic business map in the cloud
Multi type tasks are globally scheduled and planned uniformly, taking into account multiple task types such as loading and unloading tasks, unlocking and dismantling tasks, charging tasks, and maintenance tasks. The optimal comprehensive operational efficiency is taken as the benchmark, and all tasks are coordinated for scheduling, dispatching, and path planning.

Build a ship unmanned aerial vehicle autonomous inspection application system, gradually replace manual inspection with advanced unmanned aerial vehicle technology, and comprehensively promote the digital transformation of special application scenarios such as autonomous inspection of docked ships. This project selects the drone inspection system with the most suitable performance for overall data collection, combined with artificial intelligence deep learning technology for fully autonomous data analysis, promoting lean management, improving inspection efficiency, reducing manual workload, and creating a digital transformation solution with practical operational capabilities.

The project utilizes multiple omnidirectional laser radars for large-scale 3D point cloud scanning, and based on multi radar data stitching technology, obtains complete workpieces
By preprocessing the point cloud, a complete and low-noise point cloud model of the workpiece is obtained. Based on this, the directed bounding box of the workpiece is calculated to obtain its length, width, and height dimensions
Considering the convenience and stability of yard measurement, this scheme adopts a heavy-duty tripod supported radar with omnidirectional wheels.

The intelligent yard planning algorithm is a process that integrates data collection and processing, operations research calculations, visual output, and feedback and optimization. This algorithm not only involves spatial planning of the cargo yard, but also requires in-depth analysis of the properties of the wood, while using optimization algorithms to ensure the efficiency and safety of the entire process. Through this algorithm, we can achieve efficient and accurate control of the wood unloading process, ensuring that the goods arrive safely and quickly at the designated location.

The Zhenjiang Port Big Model Project is committed to building a unified port group big model basic service platform, consolidating basic computing power support, focusing on creating big models that meet the specific business needs of the port, and building corresponding big model fine-tuning and application development platforms. Through these measures, a series of intelligent application functions for large-scale models can be achieved, including intelligent ship operation plan assistants, intelligent ship operation summary assistants, and intelligent ship unloading assistants, thereby comprehensively improving the intelligence level of port operations and reducing manual and repetitive labor. By deploying privatization big model technology.