Professor Song Zhe of Nanjing University Was Invited to Give Lectures
2019-11-05
On November 3, Professor Song Zhe, Ph.D. from University of Iowa and of Nanjing University Business School, was invited to give a lecture on "Industrial Big Data Analytical Modeling: Research Problems and Application Scenarios". Professor Song is currently a Professor in the Nanjing University Business School, graduated from the University of Iowa in the United States with a Ph. D. and postdoctoral degree in (University of Iowa) Industrial Engineering, Deputy Editor-in-chief of the international well-known journal IEEE Transactions on Sustainable Energy (impact factor 7.65, self-citation rate 7.6%), has won 13 invention patents in China and the United States, and served as the reviewer of more than 10 first-class international journals. Representative teachers from the Institute of Big data and Internet Innovation, graduate students from the School of Management Science and Engineering, School of Computer and Information Engineering, and other majors attended the lecture.
Professor Song's lecture revolved around "Industrial big data". The research direction was unique, the content of the lecture was profound and simple, and the speculation was meaningful. Combining with his own projects, Professor Song explained to the ideas of industrial big data analysis, the difficulties and research problems of industrial big data analysis and modeling from various aspects. The lecture introduced the connotation of industrial big data, big data's analytical thinking, descriptive analysis, predictive analysis, and instructive analysis. According to the analysis, what has happened can be analyzed and described, the future trend of events can be predicted according to historical data, and the best solution can be found through data analysis. Professor Song specifically pointed out the difference between industrial big data and commercial big data, while industrial big data emphasized causality. In the lecture, Professor Song cited examples of combustion optimization, fan optimization control and fan blade icing faults in the University of Iowa Power Plant in the United States, emphasized in-depth analysis of the influencing factors of building energy consumption to identify the importance of the influencing factors, determine the impact of various factors on the fluctuation of building energy consumption, and fully grasp the specific reasons for the fluctuation of building energy consumption, in order to achieve targeted control. And "knowing why and control in the process."
In the interactive part, Professor Song answered the questions such as "how to deal with the large measurement error of the anemometer so as to obtain the optimized scheme for the optimal control of the fan" and launched a heated discussion with the students.
The atmosphere of the lecture was warm, and the teachers and students here said that they benefited a lot, felt the international cutting-edge research results, broadened the academic vision, and this lecture played a strong guiding and leading role.
