公开(公告)号：US20230205952A1

公开(公告)日：2023-06-29

申请号：US17769002

申请日：2021-12-03

Applicant: Northeastern University

Inventor： Minghan WU ,  Yingwei ZHANG ,  Lin FENG

IPC: G06F30/27 ,  G06V10/56

CPC classification number: G06F30/27 ,  G06V10/56

Abstract: A modeling method for soft measurement of temperature of a blast furnace tuyere raceway includes: collecting picture data of flame combustion at the blast furnace tuyere raceway, physical variable data reflecting operation states of a blast furnace and combustion temperature data of the blast furnace tuyere raceway; extracting characteristics of the picture data of the flame combustion; constructing a multi-kernel least squares support vector regression model based on Pearson correlation coefficient method and least squares support vector regression algorithm as a soft measurement model; optimizing parameters of the soft measurement model by using sine cosine optimization algorithm; and taking optimal kernel function parameters of the picture data, kernel function parameters of the physical variable data and regularization parameters in the multi-kernel least squares support vector regression model as final parameters of the soft measurement model, and achieving prediction and calculation of the combustion temperature of the blast furnace tuyere raceway.