In the past, aluminum electrolysis production was like a "data battle." Technical personnel not only had to spend a significant amount of time each day collecting operational data from electrolytic cells and manually calculating hundreds or even thousands of process parameters, but they also had to make decisions based on experience. This entire process was time-consuming and labor-intensive, and a single moment of inattention could lead to calculation errors, affecting production efficiency and costs.
How to solve this problem? Enter AI! Zunyi Aluminum collaborated with Huawei Cloud to leverage artificial intelligence and big data technologies as "support." Based on data from daily electrolytic cell reports, inspections, and tests, they employed scientific forecasting methods to train an intelligent production model called the "Dynamic Optimization and Forecasting Model for Complex Aluminum Electrolysis Systems." This model can not only accurately predict the optimal combination of key process parameters and automatically calculate the best production parameters, such as raw material addition ratios and aluminum output, but also forecast key indicators like current efficiency and energy consumption, with accuracy far exceeding manual calculations.
The "Dynamic Optimization and Forecasting Model for Complex Aluminum Electrolysis Systems" analyzes data in real time and automatically adjusts production parameters, significantly boosting efficiency while minimizing energy consumption. After parameter optimization, the production cost per ton of aluminum is significantly reduced, saving tens of millions of yuan annually. More impressively, the model can be directly integrated into the factory management system without major modifications to existing equipment, making it ready for use upon installation.
It is reported that the "Dynamic Optimization and Forecasting Model for Complex Aluminum Electrolysis Systems" was unveiled as the first of its kind in the non-ferrous metals industry at the "Kun'an" AI Model Launch Conference and was included in the 2024 Work Report of the Guizhou Provincial Government.
The launch of the "Dynamic Optimization and Forecasting Model for Complex Aluminum Electrolysis Systems" has not only enhanced production efficiency, optimized product quality, and reduced energy consumption for Zunyi Aluminum, but it has also set a benchmark for intelligent and green production in the entire aluminum electrolysis industry. It fully demonstrates that intelligent transformation is not just a trend but a tangible economic and environmental benefit.
Zunyi Aluminum will continue to optimize the model, enabling AI to adapt to more complex production scenarios, comprehensively guiding traditional factories away from "mass labor tactics," addressing industry pain points, and empowering high-quality development.
