Digital system of quarry management as a SAAS solution: Mineral deposit module

5Citations
Citations of this article
17Readers
Mendeley users who have this article in their library.

Abstract

Purpose. Improving the efficiency of functioning the mining enterprises and aggregation of earlier obtained results into a unified digital system of designing and operative management by quarry operation. Methods. Both the traditional (analysis of scientific and patent literature, analytical methods of deposit parameters research, analysis of experience and exploitation of quarries, conducting the passive experiment and processing the statistical data) and new forms of scientific research-deposit modeling on the basis of classical and neural network methods of approximation – are used in the work. For the purpose of the software product realization on the basis of cloud technologies, there were used: for back-end implementation – server-based scripting language php; for the front-end – multi-paradigm programming language javascript, javascript framework jQuery and asynchronous data exchange technology Ajax. Findings. The target audience of the system has been identified, SWOT-analysis has been carried out, conceptual directions of 3D-quarry system development have been defined. The strategies of development and promotion of the software product, as well as the strategies of safety and reliability of the application both for the client and the owner of the system have been formulated. The modular structure of the application has been developed, and the system functions have been divided to implement both back-end and front-end applications. The Mineral Deposit Module has been developed: the geological structure of the deposit has been simulated and its block model has been con-structed. It has been proved that the use of neural network algorithms does not give an essential increase in the accu-racy of the block model for the deposits of 1 and 2 groups in terms of the geological structure complexity. The possibility and prospects of constructing the systems for subsoil users on the basis of cloud technologies and the concept of SaaS have been substantiated. Originality. For the first time, the modern software products for solving the problems of designing and operational management of mining operations have been successfully developed on the basis of the SaaS concept. Practical implications. The results are applicable for enterprises-subsoil users, working with deposits of 1 and 2 groups in terms of the geological structure complexity: design organizations, as well as mining and processing plants.

References Powered by Scopus

A spatial interpolation method based on radial basis function networks incorporating a semivariogram model

102Citations
N/AReaders
Get full text

Approximation of functions and their derivatives: A neural network implementation with applications

58Citations
N/AReaders
Get full text

Dynamic management system of ore blending in an open pit mine based on GIS/GPS/GPRS

51Citations
N/AReaders
Get full text

Cited by Powered by Scopus

SIMULATION OF HOMOGENEOUS PRODUCTION PROCESSES

18Citations
N/AReaders
Get full text

Monitoring Oasis Cotton Fields Expansion in Arid Zones Using the Google Earth Engine: A Case Study in the Ogan-Kucha River Oasis, Xinjiang, China

17Citations
N/AReaders
Get full text

A gis software module for environmental impact assessment of the open pit mining projects for small mining operators in Kazakhstan

9Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Zarubin, M., Zarubina, V., Fionin, E., Salykov, B., & Salykova, O. (2019). Digital system of quarry management as a SAAS solution: Mineral deposit module. Mining of Mineral Deposits, 13(2), 91–102. https://doi.org/10.33271/mining13.02.091

Readers over time

‘21‘22‘23‘24‘2502468

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 4

80%

Lecturer / Post doc 1

20%

Readers' Discipline

Tooltip

Business, Management and Accounting 3

43%

Computer Science 2

29%

Engineering 2

29%

Save time finding and organizing research with Mendeley

Sign up for free
0