Mining multi-wave self-adaptive active noise control system

Abstract

The invention discloses a mining multi-wave self-adaptive active noise control system which comprises the following modules: a primary sensor array 9, an error sensor array 10, a loudspeaker array 1, a power amplification circuit module 2, a low-pass filter 3, an A / D conversion module 8, a D / A conversion module 4, an ANC controller 13, a field programmable gate array (FPGA) 7, a wireless transmission module 5, an explosion-proof enclosure 14, a spare battery circuit 11 and a main power supply circuit 12, wherein input noise signals are firstly converted to digital signals by the A / D conversion module 8, are subject to data processing, self-adaptive filtering, time delay and phase inversion by the ANC controller 13, are converted by the D / A conversion module 4, are processed by the low-pass filter 3 and the power amplification circuit module 2 and then are output by the loudspeaker array 1, the loudspeaker array 1 outputs sound waves which have the same frequency but opposite phases with main noise and are used for offsetting primary noise, residual error signals are fed back to the ANC controller 13 after being processed by the power amplification circuit module 2 and the A / D conversion module 8, the error signals are used for adjusting the weight coefficient of an self-adaptive filter, and secondary signals are changed according to the variation of the weight coefficient so as to minimize the error signals.

Description

technical field [0001] The invention belongs to an active noise control system for mines, in particular to a system for reducing noise by adopting multi-wave, self-adaptive and active control methods, which is applied to coal mines. Background technique [0002] Various equipments such as coal mining machines, rock drills, ventilators, etc. in the coal mine produce a lot of noise. Coal miners have been exposed to high-intensity noise for a long time, and the underground working space of coal mines is narrow and closed, so it is difficult for sound waves to disperse. At the same time, the sound absorption ability of the four walls of the roadway is poor, and it is easy to form sound wave reflection, which further aggravates the harm of noise to workers. High-intensity noise not only affects the physical and mental health of coal mine workers, but also often covers up underground safety alarm signals and causes accidents, so the research on noise reduction in coal mines is of...

AI Technical Summary

Problems solved by technology

The ANC controller of the existing active noise control equipment is mainly based on the RLS algorithm and the least mean square (LMS) algorithm. These algorithms have poor performance in terms of convergence speed. In the long and narrow underground space, the noise signal cannot be eliminated in time.

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