Study On Optimization Decision Of All-Process Ore Grades In Mining And Metallurgical Engineering Considering Carbon Emission

The mining and metallurgical engineering industry has relatively high carbon emissions and is a key industry for "carbon reduction." This article focuses on the mining,selection,and smelting processes in mining and metallurgical engineering.Based on the accounting of full-process carbon emissions,combined with mechanism models and data-driven methods,the optimization targets are set as unit carbon emissions and production costs.The study analyzes and optimizes multiple iron ore grades involved in the entire process of mining and metallurgical engineering.The research can provide decision support for mining and metallurgical enterprises,contributing to increasing production capacity while saving energy and reducing consumption.The main contents of this article are as follows.A carbon emission accounting model is constructed for the entire production process of mining and metallurgical engineering in the steel industry.The mining and metallurgical engineering of steel enterprises involves four production stages: mining,ore blending,ore dressing,and smelting.Based on the characteristics of different production stages and production data analysis,preliminary carbon emission accounting models are established separately.The accounting model and production process analysis reveal the relationship between ore grades,production costs,and carbon emissions at different production stages.The relationship between indicators such as grade,cost,and carbon emissions is analyzed using a combination of mechanism models and data-driven methods.Key indicators,such as ore grade,are optimized through decision-making.From the existing "five grades ganged" mining and metallurgical engineering mechanistic model,the relationship model of grade-capacity and grade-cost is obtained.By regressing,fitting,and intelligently analyzing the actual production data,the quantitative relationship between the ore grades in the production stages,as well as the grade,cost,and energy consumption factors,is established.The optimization decision of the grade indicator is made,targeting carbon emissions and economic benefits.Based on the actual production data of a mining and metallurgical enterprise,a case analysis and calculation are conducted.