On September 20th, the "2023 ABB Cup Intelligent Technology Innovation Competition," jointly organized by ABB and the Chinese Association of Automation, successfully concluded. The award ceremony took place at the ABB booth during the China International Industry Fair. In the "Inverter Semiconductor Temperature Prediction AI Modeling Challenge," five teams advanced to the finals out of 86 teams and 194 participants from 51 universities nationwide. These teams, including students from Shanghai Jiao Tong University's School of Electronic Information and Electrical Engineering, guided by Professor Wang Jingcheng from the Department of Automation, namely Gan Ziyi and Wu Shunyu, were awarded the first prize—the highest and only prize in the competition. Additionally, Cai Huihuang and Zhang Anwei received the second prize.

The ABB Cup Intelligent Technology Innovation Competition, jointly organized by ABB and the Chinese Association of Automation, has received strong support from industry associations, industry experts, and the Swiss Embassy and Consulates in China. Over its 18-year history, the competition has been continuously upgraded and iterated, with over 20,000 participants to date. The competition aims to cultivate interdisciplinary innovation talents and applied talents in the new engineering field, fostering collaboration between academia, industry, and research to jointly promote industrial digitization and intelligent transformation.

The Inverter Semiconductor Temperature Prediction AI Modeling Challenge is a newly introduced competition theme this year. Participants were tasked with solving specific application challenges by exploring digital value. Based on a vast amount of real industrial data provided by ABB, participants were required to comprehensively utilize advanced technologies such as machine learning and big data prediction. They were expected to analyze the relationships between equipment data, independently develop and establish a temperature estimation model for the core component of the inverter – Insulated Gate Bipolar Transistor (IGBT) – in a Python environment. The model needed to achieve high-precision, real-time monitoring of IGBT temperature fluctuations under different load powers. The key factors determining the success or failure of the participants were the accuracy and innovation of their models.