Features of geoinformation space monitoring of mining natural-technical systems

Space and digital technologies find multipurpose application in subsurface use in solving problems related to the rational and safe development of mineral deposits. The organization of a high-tech satellite system of regular industrial and environmental monitoring in the conditions of a modern mining enterprise ensures the continuous collection of unique information products with the possibility of operational generation of versatile geodata in a single virtual space of a digital twin. The article discusses the features and promising areas of development of remote sensing technology and technologies, as well as application software. The general concept and principles of digital transformation of spatial data from satellites in hazardous production are presented. The scope of application of spacecraft in the tasks of geoinformation support of mining operations is given. The methodology of multi-mode observations of the state of mining complexes from space is described, based on the principles of synchronization and integration of multi-level interdisciplinary research, synergy of innovative technologies of automated instrumental measurements and remote control. The theoretical and technical capabilities of global web-applications and services are shown on the example of optoelectronic and radar surveys of industrial facilities and nature conservation areas. The experience of space monitoring of mining natural-technical systems in the Barents Euro-Arctic region of Russia is analyzed.

Keywords: subsurface use, natural-technical systems, industrial and environmental safety, geoinformation support of mining operations, space and digital technologies, remote sensing, standardized index geo-indicators, information resources and products, a single digital space, databases.

For citation:

Melikhov M. V. Features of geoinformation space monitoring of mining naturaltechnical systems. MIAB. Mining Inf. Anal. Bull. 2022;(12-1):29-41. [In Russ]. DOI: 10.25018/0236_1493_2022_121_0_29.

Acknowledgements:

About authors:

M.V. Melikhov, Cand. Sci. (Eng.), Researcher, Mining Institute, Kola Scientific Centre of Russian Academy of Sciences, 184209, Apatity, Russia, e-mail: m.melikhov@ksc.ru, ORCID ID: 0000-0001-8283-2799.

 

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