在高爐煉鐵領(lǐng)域，理解和控制高爐內(nèi)部的冶煉運行狀態(tài)是確保高爐長期穩(wěn)定順行、提升生產(chǎn)效率和節(jié)能降耗的關(guān)鍵。然而，我們的理解多半依賴于常規(guī)的傳感器檢測或者傳統(tǒng)的高爐可視化方法，如爐頂成像、風(fēng)口攝像、激光測料面等。這些方法僅能提供間接的、表面的、有限的信息，使我們的洞察力停留在高爐黑箱的外部。MEAI高爐冶煉過程全三維可視化在線輔助分析系統(tǒng)打破了這種限制，使我們能深入到高爐的"黑箱"之中，全方位、全景深地揭示高爐冶煉過程的內(nèi)在機理。

以上五大模塊互為支撐，除了這五大模塊以外，還有一些改進的工藝模型作為輔助，共同構(gòu)成了一個全面、立體的高爐冶煉過程揭示體系，共同揭示了高爐當(dāng)前的冶煉狀況，讓操作者能夠360度立體直觀地了解高爐內(nèi)的冶煉過程，并為高爐下一步操作提供全三維量化依據(jù)，以便進行精確的操作調(diào)劑。

MEAI高爐冶煉過程全三維可視化在線輔助分析系統(tǒng)重新定義了高爐可視化，它不僅提供了一種全新的視角來理解和掌握高爐冶煉過程，也為高爐長期穩(wěn)定順行提供了強大的輔助分析功能。對冶金煉鐵行業(yè)而言，這套系統(tǒng)的出現(xiàn)無疑是一種革新，它將幫助我們更好地理解高爐冶煉過程，優(yōu)化操作，提升產(chǎn)品質(zhì)量，推動行業(yè)的科技發(fā)展。

MEAI高爐冶煉過程全三維可視化在線輔助分析系統(tǒng)是高爐可視化技術(shù)的重大突破，它提供了我們以前無法得到的、全方位、深度的洞察。隨著這種技術(shù)的進一步發(fā)展，我們期待在未來看到更加智能化、自動化的高爐操作，實現(xiàn)真正意義上的“高爐專家診斷”，為煉鐵行業(yè)的可持續(xù)發(fā)展做出更大的貢獻。

當(dāng)今的鋼鐵工業(yè)生產(chǎn)，如何有效地降低成本和提高效率是所有企業(yè)都必須面對的重要挑戰(zhàn)。MEAI新型鐵前一體化多方案智能優(yōu)化配料系統(tǒng)，其核心是由MEAI團隊基于人工智能技術(shù)和鐵前配料工藝研究的深度融合，歷經(jīng)多年研發(fā)而成的一套專門用于鐵前領(lǐng)域優(yōu)化配料的強大模型算法，實現(xiàn)了真正意義上的鐵前“一體化”多方案智能優(yōu)化配料。這個系統(tǒng)為企業(yè)提供了一種強大的降本增效的解決方案，為企業(yè)的持續(xù)發(fā)展注入了新的活力。

In the field of blast furnace ironmaking, understanding and controlling the smelting operation state inside the blast furnace is the key to ensuring the long-term stable operation of the blast furnace, improving production efficiency, and saving energy and reducing consumption. However, our understanding mostly relies on conventional sensor detection or traditional blast furnace visualization methods, such as top-of-furnace imaging, tuyere imaging, and laser measurement of the material surface. These methods can only provide indirect, superficial, and limited information, leaving our insight on the outside of the blast furnace "black box". The MEAI Blast Furnace Smelting Process 3D Visualization Online Auxiliary Analysis System breaks this limitation, allowing us to delve into the "black box" of the blast furnace, revealing the inner mechanism of the blast furnace smelting process in all directions and depths.

The essence of the MEAI Blast Furnace Smelting Process 3D Visualization Online Auxiliary Analysis System lies in its five core modules, which are deeply researched with the highest technical specifications in the industry:

The above five modules support each other. In addition to these five modules, there are some improved process models as aids, together forming a comprehensive, three-dimensional system revealing the blast furnace smelting process, jointly revealing the current smelting status of the blast furnace, allowing operators to understand the smelting process inside the blast furnace in a 360-degree three-dimensional intuitive way, and providing a 3D quantitative basis for the next step of blast furnace operation, so as to carry out precise operation adjustment.

The MEAI Blast Furnace Smelting Process 3D Visualization Online Auxiliary Analysis System redefines blast furnace visualization. It not only provides a new perspective to understand and master the blast furnace smelting process but also provides a powerful auxiliary analysis function for the long-term stable operation of the blast furnace. For the metallurgical ironmaking industry, the emergence of this system is undoubtedly an innovation, it will help us better understand the blast furnace smelting process,optimize operations, improve product quality, and promote the technological development of the industry.

The MEAI Blast Furnace Smelting Process 3D Visualization Online Auxiliary Analysis System is a major breakthrough in blast furnace visualization technology. It provides us with comprehensive and in-depth insights that we could not obtain before. With the further development of this technology, we look forward to seeing more intelligent and automated blast furnace operations in the future, achieving a true "blast furnace expert diagnosis", and making greater contributions to the sustainable development of the ironmaking industry.

The technical advantages of the MEAI new integrated multi-scheme intelligent optimization batching system for ironmaking are mainly reflected in the following aspects:

(1) Deep integration of artificial intelligence technology: The system can quantify the weight distribution ratio of various evaluation indicators by deeply mining and analyzing the data accumulated over a long period of production, and automatically generate an objective evaluation system. Based on the deep integration of the batching process in each process section of ironmaking and artificial intelligence technology, a powerful model algorithm specifically used for optimizing batching in the ironmaking field has been developed, breaking the traditional limitations, greatly expanding the thinking of batching, providing strong support for iron ore powder procurement and batching optimization in each process section, and helping enterprises reduce costs.

(2) Powerful prediction function: The system can realize the big data prediction of the quality of sintered ore based on the accumulation of actual process data on the sintering site, and realize the target control of the quality of sintered ore in intelligent optimization batching. This predictive ability can not only help enterprises prepare for production in advance, reduce production risks, but also further improve production efficiency and reduce costs.

(3) Integrated multi-scheme intelligent optimization batching: The system can recommend multi-scheme optimization batching for each independent process section according to the requirements of each process section, and can also recommend integrated multi-scheme optimization batching based on the process requirements of the blast furnace terminal, and simultaneously give multiple "mixing-sintering-blast furnace" integrated batching optimization schemes, while ensuring the rationality of the blast furnace burden structure, realizing high cost-effective pre-batching, effectively reducing the cost of hot metal.

(4) Strong expandability and adaptability: The MEAI system has strong expandability and adaptability, whether it is facing harsh conditions, complex control objectives, or even user personalized needs, the system can flexibly respond and provide optimization solutions that meet the needs. This high degree of flexibility and adaptability allows the system to play a powerful role in various different production environments.

(5) Reducing personnel experience requirements: The MEAI system greatly reduces the experience requirements for post personnel, achieving "zero threshold". This means that even operators without a professional background can quickly get started and effectively use this system, thereby further improving production efficiency.

In the MEAI new integrated multi-scheme intelligent optimization batching system for ironmaking, each function module has its unique role, together forming a complete optimization batching solution.

(1) Online data collection and raw material information database module: Responsible for completing the online collection of raw material information data and establishing a raw material resource database for ironmaking. This database will contain all information about raw materials, providing important data support for subsequent batching optimization.

(2) New iron ore powder evaluation system: Based on the evaluation function of artificial experience weight and the evaluation function based on evaluation weight intelligent mining, it provides a new evaluation system for the evaluation of iron ore powder. This system can quantify the weight distribution ratio of various evaluation indicators from the user's experience of the use effect of raw materials through intelligent data mining.

(3) Ironmaking batching accounting system module: Responsible for the accounting of mixing batching, sintering batching, blast furnace batching, and integrated batching. The accounting functions of these modules mainly replace the on-site EXCLE manual accounting and provide stronger accounting functions to ensure the accuracy of the accounting and effectively avoid human errors.

(4) Multi-scheme intelligent optimization batching system: This is the core of the system. It provides a series of optimization batching modules and functions that are both independent and interconnected. It can meet the batching optimization needs of a single process section and also meet the needs of integrated batching optimization for ironmaking. The ultimate goal is to break the limitations of traditional batching, achieve refined batching, and effectively reduce costs by automatically generating various optimization batching schemes while ensuring quality. The functions include:

1) Multi-scheme optimization of mixing batching: The system can provide multiple optimization schemes for mixing batching to meet different production needs and reduce the cost of mixing materials.

2) Multi-scheme optimization of sintering batching: According to the characteristics and needs of the sintering process, the system can provide multiple optimization schemes for sintering batching to reduce sintering costs.

3) Multi-scheme optimization of blast furnace batching: Considering the special nature of blast furnace production, the system can provide multiple executable blast furnace batching optimization schemes that fit the current production situation, effectively reducing the cost of hot metal.

4) Prediction of sinter ore quality: Through the analysis and learning of sintering process data, the system can predict the quality of sintered ore, providing a reference for batching optimization.

5) Integrated multi-scheme intelligent optimization batching: The system can provide an integrated multi-scheme optimization batching scheme that fits the actual production situation of mixing, sintering, and blast furnace. These schemes are all based on the goals set by each process section, and are automatically generated through powerful artificial intelligence model algorithms, achieving true "integrated" optimization batching, breaking the limitations of traditional batching, and providing operators with more batching ideas and optimization scheme choices.

The system has been applied for trial calculation in several steel companies (some trial calculation cases are shown in the following figures). The application trial calculation uses the raw fuel data corresponding to the on-site manual batching list, enters the system after the same target requirements for optimization batching, determines the executable scheme that meets the current production situation, and compares with the manual batching cost to determine the cost optimization space. The actual application situation is summarized as follows:

(1) Among the various batching optimization schemes provided by the system, there will be the batching scheme of the on-site material list (or very close), and the system will provide many more optimal schemes;

(2) Compared with the cost of manual batching schemes, the optimized batching schemes obtained by the system can provide different degrees of cost optimization space, which depends on the level of batching personnel;

(3) No matter how high the level of batching personnel, the system will definitely provide a more optimized scheme than humans;

According to the actual application feedback from a certain steel plant, the cost per ton of hotmetal can be reduced by 2 to 4 RMB. With the continuous deepening of application and function upgrade, we look forward to this system playing a greater role.