ISSN 2079-3537      

 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                                                                                             





Scientific Visualization, 2018, volume 10, number 3, pages 144 - 151, DOI: 10.26583/sv.10.3.11

Visualization of sound frequencies of geomechanical processes using GIT technologies

Authors: Yu.A. Stepanov1,A, L.N. Burmin2,B, A.V. Stepanov3,A

A Novokuznetsk institute (branch) of federal budgetary state educational institution of the higher vocational training "Kemerovo State University"

B LTD “Siberian.pro”

1 ORCID: 0000-0001-7552-6857, dambo290@yandex.ru

2 ORCID: 0000-0002-9875-231X, Lnburmin@mail.ru

3 ORCID: 0000-0002-9583-0132, stepal@rdtc.ru

 

Abstract

Discusses scientific visualization of digitized audio data describing changes of geomechanical processes. Provides an example of visualization data in a three-dimensional computer image by using of Unity3D graphic engine. Outlines technique of using programming methods for audio sampling from Fourier transform based on Blackman window. Describes how to cluster sound range to match threshold levels. Shows noise clustering algorithm in the example of a person's audible range. Approach of choosing color palette to visualize data that allows to perceive distribution of information for people with disabilities. Describes how to convert global geographic coordinates to local coordinates of digital terrain. Proposed method of dynamic visualization of audio data, allowing timely management decisions on the results of monitoring of mountain attacks in coal mine activities. Implemented software can be integrated into existing GIS, allowing for coal-rock array state monitoring for safety in mining and preventing interruption of process, as well as forecasting rock burst in coal-fired seams. The results of application of the proposed approach are declared.

 

Keywords: industrial safety, underground sound signals, information technology, GIS, Blackman window, audio, discretized data spectrum, visualization of mind.