Authors: D.V. Fedchenko, A.A. Eremenko

Title of the article: Software architecture of a rock mass condition monitoring system for drilling and blasting operations

Year: 2026, Issue: 4, Pages: 177-189

Branch of knowledge: 2.8.8 Geotechnology, mining machines

Index UDK: 622.235:550.348:004.4

DOI: 0.26730/1999-4125-2026-4-177-189

Abstract: The relevance of the study is determined by the need to move from isolated measurements and post-event analysis of seismic oscillation parameters to systematic digital monitoring of the rock mass response to blasting. Existing studies mainly address peak particle velocity prediction, automatic event detection, or individual recording tools, whereas coordinated interaction between monitoring software components remains insufficiently developed. The paper substantiates the software architecture of a hardware-software system for rock mass condition monitoring during drilling and blasting operations (PAK MSGP). The methodology is based on systems analysis, structural-functional modelling, and decomposition of seismic data acquisition, processing, storage, and presentation processes. A modular architecture is proposed that includes subsystems for acquiring and synchronizing signals from a distributed network of three-component sensors, input-data quality control, preliminary digital processing, automatic event detection, calculation of oscillation parameters, centralized storage, and user access. An algorithmic workflow is formed that provides validation and band-pass filtering of time series, STA/LTA event detection, and determination of peak particle velocity, dominant frequency, and impulse duration. The separation of the analytical core, server layer, and Android-based mobile client software is substantiated. The result of the study is a structural-functional software model of PAK MSGP that creates a basis for accumulating comparable data on technogenic seismic events, reprocessing raw records, and subsequently verifying digital methods used to interpret rock mass condition. The proposed functional separation prevents duplication of computational operations on mobile devices, supports system scalability, and allows additional analytical algorithms to be integrated without changing the basic data-acquisition logic.

Key words: drilling and blasting technogenic seismicity rock mass condition seismic monitoring peak particle velocity signal processing hardware-software system software architecture

Receiving date: 15.08.2026

Approval date: 01.09.2026

Publication date: 10.09.2026

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