A Method of Predicting Gas Consumption of Blast Furnace Hot Blast Stove with High Accuracy

Abstract

A method for predicting the gas consumption of blast furnace hot blast stoves with high precision, the purpose is to predict the gas consumption of blast furnace hot blast stoves in advance in the ironmaking production process, and provide technical support for the realization of dynamic gas optimization scheduling in iron and steel enterprises. Based on the blast furnace and hot blast stove production plan and equipment maintenance plan, according to the hot blast stove firing and air supply system, and referring to the hot blast stove heat balance test analysis report data, a single hot blast stove gas consumption prediction model is established under various working conditions of the blast furnace , where blast furnace working conditions include: normal production, wind reduction, wind shutdown, and rewinding working conditions; this method can predict the gas consumption of blast furnace hot blast stoves with high precision (≥95%), laying a foundation for the realization of dynamic optimal scheduling of gas in enterprises Foundation; it plays an important role in realizing zero emission of gas in enterprises.

Description

technical field [0001] The invention relates to the technical field of energy saving in metallurgical thermal engineering, in particular to a method for predicting gas consumption of a blast furnace hot blast stove with high precision. Background technique [0002] Gas is an important secondary energy source for iron and steel enterprises. By optimizing the dynamic balance of the gas system, improving the efficiency of gas utilization, and achieving "zero emission" of gas, it is the highest goal for every iron and steel enterprise to optimize gas scheduling. The basis for realizing this goal is to accurately predict the gas generation and consumption of enterprises. Blast furnace hot blast stove is the main user of blast furnace gas consumption, accounting for more than 40% of the total blast furnace gas consumption. Therefore, accurate prediction of blast furnace hot blast stove gas consumption can provide technical support for enterprises to achieve dynamic balance and opt...

AI Technical Summary

Problems solved by technology

[0003] At present, two methods are usually used to predict the gas consumption of blast furnace hot blast stoves. One is the time series prediction method, which is based on the principle of continuity. Predict its future, if this assumption is not established, its prediction accuracy will be greatly reduced

The second is the causal relationship prediction method, which is based on the "causal relationship" prediction principle. Only when the precondition of "cause determines the result" is established, can the deterministic relationship (functional relationship) or non-deterministic relationship (correlation relationship) between related variables be established. relationship, such as data regression analysis method, artificial neural network method) to predict its future, this method is based on large and relatively accurate on-site data, once the data is incomplete, inaccurate or the required data cannot be collected, then This kind of prediction can only stay at the level of theoretical research and published papers, and it is difficult to apply it at the level of industrialization

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