PS copper converter converting process intelligent decision and terminal forecast method and device

Abstract

The invention provides a PS copper converter converting process intelligent decision and terminal forecast method and a device. According to a material feeding plan and the online acquired furnace inlet material data, each phase composition in a furnace and temperature of melting materials in the furnace within each given time infinitesimal segment in the converting process are calculated continuously in real time; and then a converting terminal is judged and predicted on the basis of a preset converting terminal judgment condition. According to the forecast method and the device, time dispersion is performed on the whole converting process which is divided into multiple time infinitesimal segments which are fully small. Multi-phase reaction analysis and heat transfer calculation are performed on each time infinitesimal segment so that each phase composition and temperature in the furnace within different infinitesimal segments are obtained, and converting terminal forecast and selection of optimization strategies of adding cold materials and adding solvents and the like are performed on the basis of each phase composition and temperature in the furnace within different infinitesimal segments.

Description

technical field [0001] The invention relates to the technical field of industrial automatic control, in particular to the intelligent control of copper matte blowing process, in particular to a method and device for intelligent decision-making and end point prediction of PS copper converter blowing process. Background technique [0002] Copper matte blowing is an important process for producing blister copper in the copper smelting process. For a long time, copper matte converting has mainly adopted PS converter converting technology. PS converter has been the world's common copper matte converting equipment since 1909. By the end of the last century, almost 80% of the global mineral crude copper was converted by using PS converter. make. Although the PS converter is currently facing challenges from a variety of new blowing equipment and new technologies, because the PS converter blowing has the advantages of mature technology, especially the ability to flexibly process var...

AI Technical Summary

Problems solved by technology

[0008] 1. The judgment error of the end point of each period fluctuates greatly, which increases the operating cost and time, and the product quality cannot be effectively guaranteed;

[0009] 2. Furnace conditions are unstable. Since there is no quantitative prediction method for the temperature change trend in the furnace, the decision-making and adjustment of process parameters such as air volume adjustment and cold material addition time and quantity vary from person to person, and it is difficult to grasp it in time and accurately, resulting in temperature fluctuations in the furnace Larger, the furnace condition is unstable, affecting the stability of the operation process, increasing the damage to the furnace lining, reducing the life of the furnace, and increasing the maintenance cost of the furnace body;

[0010] 3. Safety and environmental protection are not easy to control. Manual sampling endpoint judgment is not only labor-intensive, but also has certain safety hazards. At the same time, it causes SO2 flue gas to escape, increasing low-altitude pollution, and controlling low-altitude pollution requires a lot of investment and operating costs.

[0011] 4. High energy consumption. Due to the low degree of process parameter optimization, the judgment error of the end point of each period fluctuates greatly, and it is difficult to improve the product qualification rate, resulting in long smelting cycle and high energy consumption of equipment

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