Optimal scheduling method of gas system based on artificial intelligence

Abstract

An artificial intelligence-based optimization scheduling method for gas systems solves the problem that the ability of the energy management centers of existing iron and steel enterprises to learn about special working conditions is seriously lagging behind, and the process of regulating special working conditions is also generally lagging behind. The optimal scheduling method of the gas system takes the collaborative relationship between the material flow and energy flow of iron and steel enterprises as the first layer to ensure the stable supply of the basic information of the model; the gas supply and demand trend prediction and optimal scheduling are the second layer to ensure the scientificity of system decision-making; As the third layer of the model, the self-learning function of the system calculates and summarizes emergencies to form improvement strategies and upgrades the database model. The gas system database of the component can dynamically predict the change trend of gas generation, consumption and surplus; effectively control the violent fluctuation of gas, improve the efficiency of gas boilers, realize the reasonable distribution of gas, and ensure the maximum benefit.

Description

technical field [0001] The invention belongs to the technical field of metallurgy automation, and in particular relates to an artificial intelligence-based gas system optimization dispatching method capable of effectively controlling violent gas fluctuations, improving the efficiency of gas boilers, realizing reasonable distribution of gas, and ensuring maximum benefits. Background technique [0002] Apart from supplying gas to each main process in iron and steel enterprises, the remaining part (surplus gas) is used for power generation. All kinds of special working conditions in the gas system will lead to a sudden increase or decrease in the gas volume, which will seriously affect the safety and stable supply of gas in other processes, and will cause obvious environmental problems in a short period of time. However, the ability of the energy management centers of existing iron and steel enterprises to learn about special working conditions is seriously lagging behind, and ...

AI Technical Summary

Problems solved by technology

All kinds of special working conditions in the gas system will lead to a sudden increase or decrease in the gas volume, which will seriously affect the safety and stable supply of gas in other processes, and will cause obvious environmental problems in a short period of time

However, the ability of the energy management centers of existing iron and steel enterprises to learn about special working conditions is seriously lagging behind, and the process of regulating special working conditions is also generally lagging behind

Due to the failure of upstream accidents in the gas system to be fed back to the energy management center in a timely manner, the boilers passively receive the violently fluctuating excess gas, and the lack of reasonable coordinated operation means among the boilers, resulting in high fuel consumption in the self-generation system of the steel plant. low self-generating power

The historical data of the gas system is stored in the steel enterprise resource planning system (ERP), manufacturing execution system (MES) and energy management system (EMS) in a static form, and is used to generate reports and queries, which are not related to each other; resulting in a large number of The data cannot be used to predict the trend of gas supply and demand and to predict the use of subsequent planning

[0003] There are many equipments in the gas system, the structure of the pipeline network is complicated, there are many problems in the collection, transmission and display of gas information, and the energy management center does not have the function of dynamic processing of gas data, so it is impossible to realize the dynamic prediction of gas supply and demand and the online generation of scientific guidance plans

At the same time, there are few operations that can be controlled online by the energy management system. The adjustment of the gas volume of most gas-consuming equipment requires telephone notification and manual operation, and online control cannot be performed. Lag, or even failure

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