Source: The Great Wall Network
Zhao Yuliang is interviewed. Photo by correspondent
“Northeastern University is a local scientific and technological force, the sea ice recognition system was developed jointly by us and a navy base in the form of military-civilian integration for the first time. It is the first time to board a ship and I am very excited. I am very proud to do my best for the national defense.” From January 24 to 31, Zhao Yuliang, an associate professor of Northeastern University, led his team to conduct their 84th survey on the sea ice of Yellow Sea and Bohai Sea on a naval icebreaker.
The Bohai Sea and the northern part of the Yellow Sea are the seas with the highest latitudes in Chinese. Naval icebreakers operate on the sea every winter to collect data of ice conditions, hydrology, and meteorology for ice breaking and disaster prevention, and it has been for 51 years.
The newly developed sea ice recognition equipment will be assembled with troops, and artificial intelligence technology will be applied to related fields of ice survey.
Zhao Yuliang, a doctoral supervisor from Northeastern University born in 1980s, is a senior returned talent and the direct of the Sensor and Big Data Laboratory of Northeastern University at Qinhuangdao. His main research directions are big data, internet of things, deep learning, smart sensors, machine vision, etc. He and his team has presided over more than 10 projects such as the national science foundation, the central government foundation for guiding local scientific and technological development, and provincial and municipal projects, published more than 30 papers and obtained over 10 patents.
In early January 2021, Zhao Yuliang and his 5 team members were in quarantine due to the needs of epidemic prevention and control, but they worked overtime, and finally completed their tasks.
“We use images to automatically recognize various physical parameters of sea ice. Traditional manual operations waste manpower, material resources and time. The sea ice recognition system can provide the crew with relevant parameters of sea ice, which reduces the operation time outside.” said Zhao Yuliang, adding that the system will replace traditional methods, reduce the risk of manual operation and manual observation errors, and greatly improve data collection efficiency.
“I am very excited to be in this team led by my teacher, and I am honored to make my contribution to the country.” said team member Tian Kaixuan, adding that they have spent a lot of time and energy on the early system development. The system has been adjusted according to the actual working conditions, and will be further revised and improved later.
International Channel
http://www.qhdnews.com/en/index/
International Channel Mobile Client
http://www.qhdnews.com/en/mobile
Chinese manuscript