Method for high-precision forecasting of blast furnace hot blast stove gas consumption amount

Abstract

The invention relates to a method for the high-precision forecasting of the blast furnace hot blast stove gas consumption amount. The purposes are to forecast the blast furnace hot blast stove gas consumption amount in the iron-making production process in advance and provide technical supports for implementation of steel enterprise dynamic gas optimal scheduling. Based on a blast furnace and hotblast stove production plan and an equipment maintenance plan, according to the hot blast stove burning and air supplying system, by referring to hot blast stove thermal balance test analysis report data, a single blast furnace gas consumption forecasting model under various working conditions of a blast furnace is established, wherein the working conditions of the blast furnace include the normalproduction working condition, the wind reduction working condition, the damping down working condition and the rewinding working condition; by means of the method, high-precision (larger than or equal to 95%) forecasting of the blast furnace hot blast stove gas consumption amount can be achieved, and a technological base is laid for enterprise gas dynamic optimized dispatching; and the method hasan important effect on enterprise gas zero emission.

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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