Blast furnace gas prediction balancing and scheduling system and method

Abstract

The present invention provides a blast furnace gas prediction balancing and scheduling system and method. The system comprises: a blast furnace gas generation and consumption device, a system history database, a data collection and processing module, a data analysis module, a blast furnace gas prediction module, a blast furnace gas balancing and scheduling module, and a gas management and control center. The blast furnace gas generation and consumption device transmits related data and parameter to the system history database; after the data collection and processing module reads and processes the data and parameter, the data and parameter is stored to a calibration data storage sub-module after classification and calibration of the data analysis module. The blast furnace gas prediction module predicts a blast furnace gas generation amount and consumption amount within a planed event time or an emergent event time; the blast furnace gas balancing and scheduling module balances a prediction amount and optimizes a predicted gas volume; and the gas management and control center provides a scheduling solution to the blast furnace gas generation and consumption device. According to the blast furnace gas prediction balancing and scheduling system and method provided by the present invention, timeliness and accuracy of a gas prediction result may be significantly improved, and an emission amount of the blast furnace gas is reduced, thereby lowering energy consumption.

Description

technical field [0001] The invention belongs to the field of automatic control, in particular to a system for predicting the generation and consumption of by-product blast furnace gas in the iron and steel industry and optimizing and balancing the blast furnace gas. Background technique [0002] Blast furnace gas (BFG) is a by-product of blast furnace ironmaking, the main combustible components are CO, H 2 and a small amount of CH 4 , also contains a large amount of N 2 and CO 2 , is a very important secondary energy in iron and steel enterprises. Its recycling level and supply and demand balance scheduling are of great significance to energy conservation and emission reduction of iron and steel enterprises. As the occurrence and consumption of blast furnace gas change at any time, the imbalance between supply and demand occurs from time to time, which makes the blast furnace gas of iron and steel enterprises sometimes release a large amount, and sometimes there is a sho...

AI Technical Summary

Problems solved by technology

This method predicts the amount of blast furnace gas generation / consumption through the trained neural network model, but does not consider the difference between the gas generation process and the gas consumption process, and it is difficult to guarantee the accuracy of the prediction results

[0004] To sum up, the above various devices and methods do not take into account the difference between the gas generation process and the gas consumption process in the blast furnace gas prediction, and even for the same process of gas generation or consumption, due to the different production status, the gas prediction It is difficult to have a certain forecasting model that can guarantee accurate forecasting of all production states

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