Blast furnace gas cabinet position prediction method based on multi-factor analysis

Abstract

The invention discloses a blast furnace gas cabinet position prediction method based on multi-factor analysis. The blast furnace gas cabinet position prediction method comprises the following steps: 1, obtaining blast furnace gas flow and historical data related to a gas cabinet position in a database; 2, performing data preprocessing on the historical data; 3, carrying out multi-factor analysis on cabinet position fluctuation, and determining main influence factors of the blast furnace gas cabinet position fluctuation by utilizing an absolute flow ratio and grey correlation degree analysis method; and 4, constructing a blast furnace gas cabinet position prediction model based on the influence factors analyzed in the step 3, and realizing future multi-step prediction of the blast furnace gas cabinet position. According to the method, the absolute flow proportion analysis method and the grey correlation degree analysis method are combined to determine the main influence factors of the cabinet level fluctuation, model input is simplified, and modeling complexity is reduced; and the characteristic that the fluctuation of the cabinet position is influenced by multiple factors is fully considered, so that the accurate prediction of future multi-step numerical values of the cabinet position can be realized when the production scene changes and the production consumption fluctuates, and reference and basis are provided for the reasonable scheduling of a blast furnace gas system.

Description

technical field [0001] The invention belongs to the technical field of iron and steel secondary energy monitoring and prediction, and in particular relates to a method for predicting a blast furnace gas counter position based on multi-factor analysis. Background technique [0002] Blast furnace gas is an important secondary energy produced in the production process of iron and steel enterprises. Its production and consumption are affected by actual conditions such as production scenarios, maintenance plans, and production plans. Production costs and energy consumption levels. Analyzing the supply and demand of blast furnace gas, formulating a reasonable scheduling strategy in time, and scientifically and effectively deploying it are important measures to reduce the production cost of iron and steel enterprises and reduce environmental pollution. Since the imbalance between supply and demand of blast furnace gas often acts on the blast furnace gas cabinet through the pipelin...

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Problems solved by technology

[0003] At present, most of the prediction methods for blast furnace gas cabinets are aimed at stable production scenarios, and are forecasted based on time series analysis. However, due to the impact of blast furnace gas production and consumption on actual conditions such as production scenarios, maintenance plans, and production plans, equipment operating conditions change frequently. , when the fluctuation rule of the counter is broken, it is difficult to accurately predict the fluctuation of the counter in the future based on the historical data of the counter. Accurate prediction of gas cabinet location is of great significance

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