Method, system, device and storage medium for predicting carbon emissions of steel production

Abstract

This invention relates to the field of steel production and discloses a method, system, equipment, and storage medium for predicting carbon emissions from steel production. The method includes: collecting historical production data from different processes on the production line to calculate the carbon emissions, raw material consumption of different types of raw materials, and production process parameters corresponding to the steel output when producing a corresponding output of steel; correlating the production process parameters with the raw material consumption, carbon emissions, and corresponding steel output of different types of raw materials to calculate carbon emission factors under different parameter values, generating corresponding carbon emission factors; and predicting the carbon emissions of the production line under different values ​​of production process parameters during steel production based on real-time production data and a carbon emission factor table. The method provided by this invention can identify parameters that significantly affect carbon emissions, enabling enterprises to adjust their carbon emission strategies accordingly and reduce carbon emission costs.

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