Recently, companies such as Suning Logistics, ZTE Corporation, Jiangsu Mobile, Jizhijia, and Future Robot jointly released the "5G Empowering Suning Yuncang Flexible Production Innovation Demonstration White Paper." The white paper uses Nanjing "Suning Yuncang", the fifth-generation smart logistics base in Asia and third in the world, as a model. It exposes the technical details of the 5G full-process unmanned warehouse for the first time. Ideas, new models.
With the advent of 5G communication technology, the integration of 5G with cloud computing, Internet of Things, computer vision, deep learning and other technologies provides more possibilities for the warehouse and distribution links in smart logistics. As a pioneer in the application of industrial unmanned driving technology in the logistics field, future robots will combine vision with 5G technology and cooperate with Suning Logistics to create a comprehensive solution from the ground to the top, which is an advanced application of industrial unmanned vehicles in the logistics field.
5G Driverless Industrial Vehicle Network Architecture Diagram
Top-Level Environmental Monitor and Vehicle Dispatch under 5G
5G communication has the characteristics of controllable delay, wide coverage, low delay, and low interference. Using 5G transmission object information and scheduling information, it can effectively organize the core elements in the network in real time, and build a communication with relatively low delay. It is a scene with relatively less uncertainty in motion, creating a foundation for clustered industrial unmanned vehicle collaboration.
The "Mingmo System" based on 5G wireless transmission can transmit the object information collected by the camera in the logistics site in real time, such as storage locations, vehicles, operators, goods, etc., to the back-end cloud server, and issue instructions through cloud computing To industrial unmanned vehicles, and display various information to administrators, including robot status, real-time monitoring screens, etc., is an important medium for human-robot interaction, and an effective means to realize unmanned, automated, and intelligent logistics.
Terminal object recognition and environment awareness under 5G
Vision sensors have the advantages of large amount of information and low cost, but they also face the demand for large amounts of data calculation. In the application of industrial unmanned vehicles, 5G edge computing and vision technology complement each other: the information collected by the vision camera is transmitted to the cloud through the 5G network, and edge computing is used to extract and process image information. The on-board visual perception module can perceive obstacles within 20m, assisting the unmanned driving of industrial vehicles.
Vehicle visual recognition based on 5G edge computing, bid farewell to the two-dimensional laser era, can perform AI analysis on multiple cameras in real time, observe, identify, and locate storage environment elements within 15 meters, and perform inspections on people, vehicles, and goods within 7.5 meters. Alarm, compared with the commonly used anti-collision laser (for example, the famous brand SICK Tim320 has a maximum protection area of only 4 meters), which has doubled the perception of industrial unmanned vehicles. The combination of vision and 5G reduces the implementation cost of unmanned industrial vehicles, while ensuring technical stability, while enhancing the intelligence of vehicles.
The value of 5G to unmanned logistics
1) Cloud-based terminal equipment.5G technology has the characteristics of large connections and low latency, enabling communication between remote devices. By moving the information and computing unit of the on-board equipment to the remote end, the cost of the terminal equipment is greatly reduced, the modification module is minimized, and the "cloud vehicle" becomes possible.
2) Large-scale and large-scale dispatch. The robustness and timeliness of the logistics cycle are important indicators to measure the efficiency of logistics. Short-wave transportation within the interval, material migration between the backbone networks, and unmanned warehouse-to-end distribution links have become critical. 5G mobile communication technology is particularly suitable for the transmission of mobile vehicle information under large-scale logistics networks, so that the real-time and transparency of information in the network are greatly guaranteed.
3) Optimize staffing.Based on 5G technology, the Internet of Everything technology, humans can take over unmanned industrial vehicles remotely, making it possible for all logistics nodes to share the same set of manual teams. With the deepening of logistics automation, a large number of repetitive tasks and data transmission are transferred to industrial robots. Manuals will be more focused on temporary, non-standard inventory, inspection, search, verification and other complex work links, personnel training and Scheduling will be more specialized and standardized, and optimal configuration will be achieved.
In the future, robots believe that with the high stability and high bandwidth advantages of 5G communication and the popularization of edge computing, unmanned equipment will be upgraded to a level in perception, decision-making, and performance, effectively solving the pain points in smart logistics, and providing storage and distribution links. Provide key technical support to realize the intelligent logistics of "pan-connected, digitalized and intelligent".