[Explanation] 5G cleaning vehicles, food delivery robots, remote drones ... Since the new crown pneumonia epidemic, a large number of medical staff have rushed to the front line of the epidemic to treat patients. At the same time, a number of intelligent technologies have also appeared on the front line of epidemic prevention, with their safe, convenient and efficient characteristics, they have become powerful assistants on the front line of prevention and control.

Recently, at the Sichuan Provincial People's Hospital, a 5G + unmanned vehicle started a day of work. Cleaning, spraying disinfection potions, autonomous obstacle avoidance, collecting garbage ... Areas that previously required 4 to 6 people to clean up can now be completed quickly with an unmanned cleaning vehicle.

[Concurrent] Yang Dong, Director of 5G Office, China Telecom Sichuan

An unmanned disinfection vehicle can work on demand 24 hours a day. Its workload is about 3,000 square meters per hour. After it is equipped with this vehicle, only one person needs to be in the designated place and add disinfection water to the vehicle. Nothing else is necessary, this vehicle can automatically drive on this road, and then automatically return to the designated place of disinfectant according to time.

[Explanation] In addition, through 5G technology, the intelligent "takeaway brother"-unmanned meal delivery robot also appeared in the isolation ward, instead of medical staff to deliver three meals a day and related medical items for patients. Not only save time and effort, but also effectively avoid the possibility of infection caused by medical staff by delivering meals.

[Concurrent] Yang Dong, Director of 5G Office, China Telecom Sichuan

For example, this kind of food delivery robot, through a target number entered by the robot screen, plus a 5G network, the robot automatically delivers the food to a target location, and automatically recognizes the food taken based on the weight. The error distance can be controlled at a minimum of 10 cm, because its payload can reach 40 kg, so it can send about 8 to 10 (fast food) when running. The approximate battery life at one time can take nearly 20 hours, and its speed is about 1.2 meters per second.

[Explanation] In addition to the intelligent robots that serve the hospital, many technology products have also entered the community to help prevent epidemics. After the epidemic, some companies quickly launched a "drone war epidemic platform." The demander only needs to fill in information, prepare protective gear, disinfectant, etc., and the platform will automatically match the nearby drone team to spray and disinfect.

[Concurrent] Chihiro Chen, CEO of Chihiro

There are tens of thousands of drones on our platform, which can help all kinds of places and institutions to spray disinfection medicine. Because of the centimeter-level precise positioning support, all drones can spray automatically and accurately according to the established range during the spraying process.

[Explanation] According to reports, compared with the traditional manual killing, UAV epidemic reduction reduces labor costs and avoids cross infection. At the same time, three-dimensional spraying of disinfectant solution has a larger space and better effect.

[Live Screen]

The drone disinfection and spraying operation takes about an hour. Please close the doors and windows, put away your clothes, and feel at home to fight the epidemic. With all our minds in place, China will win.

[Explanation] From telemedicine to intelligent distribution, from epidemic prevention electronic passes to thermal imaging and epidemic prevention vehicles, and more and more anti-epidemic robots are applying for "jobs", the role of "technology" in fighting the epidemic has become increasingly prominent. It is believed that with the efforts of intelligent technology and scientific researchers, more and more medical robots will be put into mass production, and will be on the front line of prevention and control to help science and technology fight the epidemic.

Liu Xuanting reports

Editor-in-chief: [Liu Xian]