First, data transmission is more efficient. The current 5G downlink peak rate is 20Gbps, and its rate is 20 times that of the gigabit 4G network, so it will also make the robot more efficient and fast in receiving information and task instructions during use. It should be known that under normal circumstances, the delay of 5G network is 1 millisecond, and the response time for humans will reach 400 milliseconds, so it can be seen that 5G shortens the end-to-end delay by 5 times compared to 4G network. And after 5G is really popular, the timeliness of data transmission will also be greatly improved, and people can monitor and manage the working conditions of robots in real time.
At the same time, the low-latency feature will add a completely new form of work in the industrial field: remote operation. In the past, each remotely controlled instruction required data to be transmitted to the controlled machine, and the results were fed back via video. The 5G technology can greatly reduce the transmission delay, and the interval of 1-2 milliseconds is almost the same as the operation in the field. Just like the telemedicine surgery that has just emerged recently, low latency has not only changed the pattern of time, but also shortened the distance of space.
Second, it is more flexible and more flexible. In fact, everyone knows that the WIFI communication method has shortcomings in interference, switching, and coverage. However, after the emergence of 5G, eLTE related technologies based on 5G technology also appeared in the factory application process. It has relatively strong anti-interference At the same time, 5G can also increase the connection of networkable production equipment by 10-100 times, which means that the coverage area is getting wider and wider, which can help robot applications to get better data analysis. To a certain extent, the cost of network communication has been saved.
Third, the cloud robotics trend. 5G can be said to be the basic technology for cloud-based robots, and the emergence of 5G will have the characteristics of high bandwidth and low latency. It is important that it can also put most of the computing in the cloud, which will be more secure and effective for computing. The data must be well protected. When the robot deploys applications, the cloud, as a central control management platform, can remotely control the robot remotely.