Abstract: In order to effectively solve the contradiction between resource constraints of high-quality coal injection, rise production cost and multi-objective optimization in blast furnace ironmaking process, and respond to the requirements of the national "double carbon" strategy for the green and low-carbon transformation of the steel industry, this paper put forward a method of coal injection blending system which integrates data management, multi-objective optimization and intelligent decision-making. Firstly, a multi-dimensional coal injection evaluation system covering the core indicators such as basic attributes of pulverized coal, industrial analysis and elemental analysis was constructed to realize the quantitative characterization of different coal types in terms of safety, flammability and economy. Secondly, based on the multi-objective programming theory, a multi-objective optimization model guided by "low cost, high combustion rate and high reactivity" was established, and the optimal mixing scheme was obtained using the combined solution strategy of genetic algorithm and simplex method. The industrial application results show that the model can effectively optimize the fuel injection structure, improve the utilization rate of pulverized coal, and significantly improve the production economic benefits and low-carbon operation level under the premise of maintaining the stable and smooth operation of the blast furnace. For 1 860 m³ blast furnace, under the guidance of cost minimization, the maximum cost per ton of iron is reduced by 8.75 yuan, the carbon emission is reduced by 4.57%, and the total fuel consumption is reduced by 16.22 kg/t. In the quality priority mode of 3 800 m³ blast furnace, the maximum cost per ton of iron is reduced by 6.36 yuan, the carbon emission is reduced by 0.68%, and the total fuel consumption is reduced by 5.7 kg/t. In the most cost-effective mode of 5 500 m³ blast furnace, the total fuel consumption is reduced by 11.8 kg/t, and the cost of iron per ton of coal is reduced by 0.54 yuan. The model and decision-making system have been verified by industry and achieved good results. It provides a feasible path for the intelligent and green transformation of blast furnace coal blending process and has important application guiding value for promoting the high-quality development of iron and steel industry.