Development and application of comprehensive diagnostic control model for blast furnace production
LIN An-chuan1,2, QIU Gui-bao1, ZHANG Xiao-lei2, JIANG Yu-bo3, LIU Xiao-lan3, LIU Yuan-yuan2
1. College of Materials Science and Engineering, Chongqing University, Chongqing 400044, China;
2. Kunming Industrial Vocational and Technical College, Kunming 650302, Yunnan, China;
3. Kunming Steel and Iron Co., Ltd., China Wuhan Steel Group Co., Ltd., Kunming 650302, Yunnan, China
Abstract:Iron and steel industry is a national pillar industry. The energy consumption and cost of blast furnace determine the competitiveness of an iron and steel in regional market to a great extent. Based on the actual conditions, relying on equipment technology progress and information means, through strengthening the online tracking, comprehensive analysis and research of the production data of the blast furnace, the standardization and precision operation mode of blast furnace smelting were optimized continuously.The Production of blast furnace reasonably deal with the relationship between specific technology and equipment, raw fuel and the four operating systems of the blast furnace. The production of blast furnace deal with the relationship of mass and heat transfer between rising gas flow and falling charge.It provides a basis for production management, technicians and operators to seek reasonable blast furnace operation system. This becomes a fundamental way to realize quantification and high efficiency of blast furnace smelting process. Based on the basic theory of ironmaking, a comprehensive diagnostic control model with on-line diagnosis have been developed. Quantitative evaluation and optimization of BF's gas in blast furnace smelting process was developed and applied by means of computer information. In the process of blast furnace smelting, through timely calculation, tracking and potential analysis of BF's gas distribution index, distribution matrix and comprehensive smelting parameters, The model predict and control the composition and index of slag iron. The quantitative processing of complex data related to distribution of raw materials, air supply, slag and iron system and index control is obtained when further tapping the potential of blast furnace under specific raw fuel conditions. Furthermore, the smelting control measures to improve the technical indexes under specific smelting conditions were obtained. The model can test the effect of smelting factor adjustment by using the material balance heat balance model. Application practice shows that the application of series of models is conducive to the formation of new and more matched BF's gas distribution under specific conditions, and the comprehensive smelting parameters are more harmonious. Under the condition of little improvement in objective conditions, the relative replacement ratio of pulverized coal injected is more than 1.0; low w(Si) stable w (Si) smelting is realized. The Production of blast furnace obtain the higher utilization rate of blast furnace heat. The utilization coefficient, fuel ratio and other indicators have been significantly improved year-on-year.
林安川, 邱贵宝, 张晓雷, 蒋玉波, 刘晓兰, 刘缘缘. 高炉生产综合诊控模型研发及应用[J]. 钢铁, 2022, 57(12): 41-56.
LIN An-chuan, QIU Gui-bao, ZHANG Xiao-lei, JIANG Yu-bo, LIU Xiao-lan, LIU Yuan-yuan. Development and application of comprehensive diagnostic control model for blast furnace production[J]. Iron and Steel, 2022, 57(12): 41-56.
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