Low-energy-consumption furnace charge steady-state control method for discharging magnesium from bottom of vertical tank by Pidgeon method

By acquiring particle distribution data in real time and optimizing the model, the problems of uneven furnace charge distribution and heat transfer coupling in the bottom magnesium tapping process of the Pidgeon process were solved, achieving steady-state control of the furnace charge, improving the efficiency of the reduction reaction and product quality, and reducing energy consumption.

CN120945198APending Publication Date: 2025-11-14XINJIANG JINSHENG MAGNESIUM IND CO LTD
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Patent Information

Application Number
CN202511089721.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-05
Publication Date
2025-11-14

AI Technical Summary

Technical Problem

In the process of magnesium tapping from the bottom of the vertical tank in the Pidgeon process, uneven distribution of furnace charge particles leads to segregation of gas flow and local overheating. The heat transfer effect is complex and difficult to precisely control by optimizing process parameters, which affects the efficiency of the reduction reaction and energy consumption.

Method used

By acquiring particle distribution data in real time, image recognition algorithms are used to calculate the distribution uniformity index, and the feed rate and angle are adjusted. Heat transfer and flow field coupling effects are predicted by combining heat conduction and fluid dynamics models to optimize the gas flow rate and temperature distribution. Process parameters are optimized based on multi-parameter correlation models and genetic algorithms, and machine learning prediction models are constructed to achieve parameter coordination and consistency.

Benefits of technology

It improves the uniformity of furnace charge distribution, optimizes heat transfer, enhances reduction reaction efficiency and product quality, and reduces energy consumption.

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Abstract

The invention provides a Pidgeon method vertical tank bottom magnesium discharging low-energy-consumption furnace charge steady-state control method which comprises the following steps: acquiring real-time distribution data of particles from a furnace charge feeding system, extracting position and density information of the particles by utilizing an image recognition algorithm, calculating a distribution uniformity index in combination with a preset uniform distribution model, and calculating the distribution uniformity of the particles according to the distribution uniformity index. The discrete degree of particle distribution is quantified; evaluating the parameter correlation matrix, judging whether parameter conflicts exist or not, and if the conflicts are detected, optimizing parameter combinations through a genetic algorithm, obtaining process parameter data again and updating the parameter correlation matrix until the parameters are coordinated and consistent; and constructing a comprehensive prediction model based on a machine learning algorithm by utilizing the updated distribution uniformity index, the heat transfer cumulative change trend and the coordinated and consistent process parameter combination, and predicting the reduction reaction efficiency and the product quality.
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