On November 6, the national final contest of 2020 Intelligent Manufacturing Innovation Competition was rounded off in Shanghai. Before the final, two teams standing out from Shenzhen Technology University (SZTU) had gone through multiple times of closed-door training for more than three months and overcome the impact of COVID-19 pandemic and other pressures with the strong support of the university. As a result, they achieved great success after competing with more than 140 teams from over 80 universities across China, such as Tongji University, Jilin University, Harbin Institute of Technology and Wuhan University.

The first prize winning team from SZTU [Photo/Sino-German College of Intelligent Manufacturing]

The third prize winning team from SZTU [Photo/Sino-German College of Intelligent Manufacturing]

One team from SZTU named “Technokrat” won the first prize in undergraduate group and was awarded with Siemens Automation System Engineer Training Certificate, Siemens Certified Process Simulate Assistant Engineer Certificate, German TÜV PersCert Integrated Competence Certificate, and Haier COSMOPlat Trainee Engineer and Skill Certificate. The other team won the third prize in undergraduate group, and three instructors of the team “Technokrat” won the honor of “Excellent Instructor”.

Three instructors from SZTU, namely Li Wenxian, Yang Xu and Zheng Xiuhong, achieve the award of “Excellent Instructor”. [Photo/Sino-German College of Intelligent Manufacturing]

The 2020 Intelligent Manufacturing Innovation Competition is part of National Competition of Innovation and Creativity in Mechanical Engineering for Chinese College Students. It’s a national academic competition sponsored by Chinese Mechanical Engineering Society and three steering committees of the Ministry of Education on the teaching of college majors in mechanics, materials science and industrial engineering.

SZTU students and instructors attend the closing ceremony of the competition. [Photo/Sino-German College of Intelligent Manufacturing]

The competition consists of three categories: digital twin and simulation, industrial big data analytics, and system integration and debugging. It aims to accelerate the training and selection of innovative, interdisciplinary and versatile talents that meet the industrial demands, promote exchanges and cooperation in intelligent manufacturing talent training, and enhance China's innovation capabilities and sustainable development in the sector of intelligent manufacturing.

The digital twin and simulation contest requires the players to master the software of Process Simulate and TIA Portal. [Photo/Sino-German College of Intelligent Manufacturing]

The industrial big data analytics contest mainly examines the players' abilities in applying OpenCV image processing algorithms, machine learning and deep learning algorithms. [Photo/Sino-German College of Intelligent Manufacturing]

In the system integration and debugging contest, the players should be proficient in operating three-dimensional warehouse station and robot assembly station. [Photo/Sino-German College of Intelligent Manufacturing]

Drafted by Olivia（赖丽伟）/ International Cooperation & Student Affairs Office

Edited by International Cooperation & Student Affairs Office