Energy Management
Solution 05
Energy Management
Redefining Energy Management Systems
For high-energy industrial scenarios (such as steel electric furnace smelting), through full-chain data collection and multivariate cross-analysis, transforming experience-dependent black-box operations into quantifiable, reproducible intelligent decision models for precise energy consumption prediction and active intervention.
Why
Industrial energy optimization is the key battlefield for cost reduction and "dual carbon" goals. Maxta introduces industrial vertical models with refined top metallurgical expert know-how, enabling intelligent prediction and multi-dimensional diagnosis to guide every production decision, making carbon reduction a quantifiable, certain return.
Vertical Model Driven
Three-dimensional Data Fusion & Dynamic Optimization
The system innovatively builds a "feedstock ratio, production process, result analysis" three-dimensional joint analysis framework. On the computing end, the model absorbs massive historical high-quality data as "golden benchmarks", using complex cross-impact algorithms for second-level identification of current operational deviations; on the execution end, radar distribution models and dynamic diagnostic prompts provide real-time intervention on abnormal process parameters.
Electric Furnace Energy Consumption Prediction Model
Industry Pain Point
Electric furnace energy consumption is extremely high with complex influencing factors. Traditional experience-based approaches cannot handle multivariate cross-impact scenarios.
System Benefit
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