Adaptive speed regulation method of neural network for mine ventilator

Abstract

The invention relates to an adaptive speed regulation method of a neural network for a mine ventilator. The method comprises the following steps that: utilizing a gas concentration sensor, a pressure sensor and a laser tachometer to independently measure fan blast capacity influence parameter information including tunnel gas concentration, wind pressure, the revolving speed of a motor and the like, good nonlinear mapping capability of the neural network is utilized for establishing a nonlinear mapping relationship between a blast capacity influence factor and the revolving speed of the ventilator, and the adaptive control model of the mine ventilator is obtained. By use of the technical scheme of the invention, an Elman neural network and an adaptive genetic optimization method are applied and are combined with a variable-frequency speed regulation technology to realize the accurate control of the blast capacity of the mine ventilator. The method has the advantages of being high in rate of convergence, high in accuracy and good stability, and energy is effectively saved while the required blast capacity is achieved.

Description

technical field [0001] The invention relates to the technical field of intelligent control of mine ventilators, in particular to a neural network self-adaptive speed regulation method for mine ventilators. Background technique [0002] Mine ventilator is one of the key equipments to ensure safe production in coal mines, and it undertakes the important task of transporting fresh air underground, diluting the concentration of harmful gases and taking away coal dust. Due to the need to be in operation for a long time, and the main ventilator is a high-power device, its power consumption accounts for about 15%-25% of the total power consumption of coal mine operations, which brings a huge economic burden. The "Opinions on Energy Conservation and Emission Reduction in the Coal Industry" issued by the National Development and Reform Commission and the Environmental Protection Bureau clearly stated that it is necessary to strengthen the energy-saving transformation of mine ventilat...

AI Technical Summary

Problems solved by technology

[0003] The traditional method is to adjust the opening degree of the outlet valve or the installation angle of the fan blades, and then control the air volume and pressure of the fan. Although it has a certain effect, the frictional resistance between the pipeline and the valve will waste a lot of energy, resulting in low work efficiency and extremely high efficiency. Big waste of electricity

With the introduction of frequency conversion speed regulation technology, the energy-saving performance of the fan has been improved, but the self-adaptive adjustment effect according to the underground environment is still not ideal

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