Detection Model of Water Logged Area in Goaf Based on Multi-source Data Fusion and Group Intelligence Perception Computing
DOI:
https://doi.org/10.31449/inf.v48i23.7003Abstract
By the perception computing, for improving the efficiency of mine mining and improve its security, and multi-source data fusion and swarm intelligence sensing computing technology have the advantages of fast response rate, high sensitivity and strong applicability, this paper combines multi-source data fusion and group intelligence perception computing technology, through pre detection and analysis of the structure of the mine stratum, discusses the function principle and attention process of two Internet technologies in detail, and establishes a detection model of water logged area in the mine goaf by the group intelligence perception computing. Then, this model is applied to the mine mining between different cities. By comparing the application rate and satisfaction of this detection model between different cities, the corresponding measures to improve the application rate of this detection model are proposed. In a word, this paper combines theory with practice, takes the goaf ponding area as the main target, establishes the corresponding model, and successfully applies it. This exploration model is of great significance to improve the development efficiency of the mine and perception computing.
Downloads
Published
How to Cite
Issue
Section
License
I assign to Informatica, An International Journal of Computing and Informatics ("Journal") the copyright in the manuscript identified above and any additional material (figures, tables, illustrations, software or other information intended for publication) submitted as part of or as a supplement to the manuscript ("Paper") in all forms and media throughout the world, in all languages, for the full term of copyright, effective when and if the article is accepted for publication. This transfer includes the right to reproduce and/or to distribute the Paper to other journals or digital libraries in electronic and online forms and systems.
I understand that I retain the rights to use the pre-prints, off-prints, accepted manuscript and published journal Paper for personal use, scholarly purposes and internal institutional use.
In certain cases, I can ask for retaining the publishing rights of the Paper. The Journal can permit or deny the request for publishing rights, to which I fully agree.
I declare that the submitted Paper is original, has been written by the stated authors and has not been published elsewhere nor is currently being considered for publication by any other journal and will not be submitted for such review while under review by this Journal. The Paper contains no material that violates proprietary rights of any other person or entity. I have obtained written permission from copyright owners for any excerpts from copyrighted works that are included and have credited the sources in my article. I have informed the co-author(s) of the terms of this publishing agreement.
Copyright © Slovenian Society Informatika
