Nansha black technologies pitch in to support Wuhan

Emerging technologies such as artificial intelligence, big data, and cloud computing are making great strides in the prevention and control warfare against the coronavirus pneumonia epidemic.

The contest between technology and virus also tests the brilliance of Guangzhou’s innovation ability.

A group of medical robots manufactured in Guangzhou raced to Hankou Hospital, Central South Hospital and Leishenshan (Thunder God Mountain) Hospital in Wuhan, epicenter of the outbreak in China, on Feb 1 to support the anti-virus battle there.

Xiaoyi, a robot invented by the School of Intelligent Systems Engineering of Sun Yat-sen University, has greatly reduced the burden on frontline medical workers.

With a strong memory and an impenetrable body, it delivers medicines to each ward on the aisle in the hospital’s isolation area. During the transportation process, no human operation is needed, which increases protection.

According to calculated operating results, each robot can do the work of three delivery staff members. Previously, they needed to walk back and forth 200 meters to deliver medicines and meals to patients. The robots save them a lot of energy and time.

KingMed Diagnotics Group, a pillar of the domestic third-party medical testing industry, took the responsibility of nucleic acid testing for patients with novel coronary pneumonia in the Leishenshan Hospital.

By optimizing the testing procedures and methods, the laboratory’s timely and accurate single-day nucleic acid detection procedure has been applied in 2,500 cases.

The enterprise also sent its most elite team from its headquarter in Guangzhou to Wuhan.

Liu Yong, head of the infectious disease department of the company, said that the testing efficiency has increased five-fold. According to the testing needs, the daily testing capacity of the entire team now reaches 70,000.

In addition, an epidemic prevention and control collaboration system was put into use in Guangzhou’s Nansha district, with five major functional modules connecting various departments.

This powerful assistance can be attributed to 72-hours of high-intensity remote collaborative development work by a local incubation team.