n the vast production system of the steel industry, as a core equipment, the energy efficiency of dust removal fans has always been a key factor restricting production efficiency and environmental protection levels. The three major energy efficiency "black holes" - severe load fluctuations, lagging manual adjustments, and imprecise automatic control - not only cause energy waste but also affect the cleanliness of the production environment and the health of workers.

In September 2024, Taiyuan Iron and Steel (TISCO) reached a deep strategic cooperation with Luculent to reconstruct a new paradigm of energy efficiency management with AI and lead a new trend in the industry's development.

Based on the actual needs of TISCO, Luculent deeply integrated artificial intelligence, Internet of Things, and big data application technologies to meticulously build a smart energy consumption optimization system. With perception as the foundation, data as the driving force, and algorithms as the core, it comprehensively enhances the digital productivity of the dust removal system and promotes the intelligent upgrade of energy efficiency management.

1. AI Energy Saving Hub: Algorithm-Driven Energy Efficiency Leap
The "dual-drive" modeling empowers enterprises with doubled quality and efficiency. The mechanism model is based on the complex relationship equation between dust removal efficiency and wind pressure, ensuring the system's in-depth understanding of the physical process. The data model, with the help of time series prediction and reinforcement learning technologies, realizes real-time monitoring and intelligent adjustment of the equipment's operating status. This not only greatly improves the system's prediction accuracy but also lays a solid foundation for subsequent energy efficiency optimization.
The AI algorithm-driven energy saving technology breaks through the limitations of traditional PLC control that relies on manual adjustment. By constructing a complete closed-loop ecosystem of "perception - learning - evaluation - update - optimization - decision-making", it effectively saves a large amount of labor costs and provides more timely and scientific support for decision-making.

2. Self-Evolving Working Conditions: Dynamic Self-Optimization of Energy Efficiency
The system is pre-set with thousands of flexible response plans for different working conditions, giving it a powerful "self-update" ability. No matter how complex and changeable the external environment is, the system can always quickly adjust the operation strategy according to the real-time working conditions to ensure that the energy efficiency of the dust removal fan is always in the optimal state.

3. Quick Energy Saving Results and Lightweight Rapid Deployment
This lightweight transformation plan can be quickly deployed and launched within 2 months, breathing new life into old equipment. After the system was put into operation at TISCO, it demonstrated excellent energy saving results. A single fan can save about 1,300 yuan in electricity costs per day, with an energy saving rate of up to 24.8%, far exceeding the user's preset goal. This improvement ensures the dust removal efficiency and the stable and efficient operation of the equipment, greatly reducing the operation and maintenance burden of the staff and creating considerable economic benefits for the enterprise.

4. Industry Leadership: The Landing of an Energy Efficiency Optimization Benchmark
At present, the Luculent SuShine Smart Energy Consumption Optimization System has been implemented in key energy-saving scenarios of leading enterprises in the industry such as Meishan Iron and Steel, Kunming Iron and Steel, and Chongqing Iron and Steel. Its digital and intelligent service capabilities have won the high recognition and trust of users. It has not only set a new benchmark for energy efficiency optimization in the steel industry but also provided valuable experience for the large-scale application of AI energy saving in the industrial field, playing a "green" development melody on the path of "dual carbon" goals. It is estimated that the annual carbon reduction of a single factory is equivalent to planting 3,400 mu of forests, actively contributing Luculent's strength to environmental protection.