In the wave of green transformation within the steel industry, Baoshan Iron & Steel Co., Ltd.'s Baoshan Base has deeply integrated artificial intelligence into energy management, energy conservation, emission reduction, and environmental supervision. This initiative has not only established an intelligent optimization system covering the entire production process but has also yielded tangible benefits in practice, providing a vivid example of intelligent upgrading for traditional manufacturing.
Entering the energy management control center hall, the previous operational model reliant on human experience has been empowered by an "intelligent brain" under the Smart Energy and Environment 3.0 blueprint. The Energy and Environmental Protection Department, aiming for "production stability, optimal costs, and technological leadership," has specifically established an AI Digital Intelligence Group as a core hub to systematically advance digital and intelligent transformation.
In the converter gas recovery process, AI conducts in-depth mining of multi-dimensional data to establish a scientific recovery evaluation system. This makes the entire recovery process transparent and traceable, significantly improving resource utilization efficiency. Particularly noteworthy is the process energy consumption analysis system built on the fusion of mechanism models and AI algorithms. It can accurately analyze the potential of different energy-saving technologies, providing a scientific basis for on-site operations and process optimization, thereby continuously driving energy efficiency improvements.
As applications deepen, a number of specialized intelligent agents have gradually become valuable assistants for engineers. Guided by the group's "2526" project, the department independently developed the "Energy and Environmental Equipment Management Compliance Analysis and Retrieval Intelligent Agent," which achieves closed-loop optimization of management processes. With a single click, it can quickly identify issues such as duplicate maintenance requests and measurement accuracy deviations, elevating compliance inspection efficiency to new heights. Meanwhile, the "Power Generation and Distribution Rotating Equipment Fault Classification and Early Warning Intelligent Agent" integrates equipment health assessment models, significantly reducing false alarm rates and providing reliable support for the preventive maintenance of core rotating equipment, demonstrating the vast potential of AI in equipment management.
This transformation is not merely a technological iteration but also a reshaping of human talent capabilities. Through a closed-loop mechanism of "talent aggregation—capability cultivation—results transformation," a group of interdisciplinary professionals has rapidly grown through practical experience. The "Blast Furnace Blast Intelligent Calculation and Early Warning System," independently developed by the team, effectively achieves early warnings for equipment issues like air and water leaks and precise prediction of energy consumption. It won second prize in a multi-base AI challenge competition. Another technology, "AI Algorithm for Optimizing Energy Efficiency in Blast Furnace Blast Freezing Dehumidification," was recognized as a "Value Creation and Innovation" scenario in a specialized labor competition, serving as a successful case study of combining AI enablement with talent development.
Building on these localized breakthroughs, the Energy and Environmental Protection Department is actively promoting the cross-base sharing of mature technologies. For example, the hot-rolling circulating water smart supply model has achieved fully automatic operation of pump sets during roll changes, transforming the traditional model long reliant on manual adjustment. Under Baoshan Iron & Steel Co., Ltd.'s "One Company, Multiple Bases" management framework, such replicable and scalable smart manufacturing achievements are being accelerated, continuously unleashing economies of scale.
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