METHOD OF SEISMOACOUSTIC MONITORING OF SEPARATE SIGNALS OF EXPLOSIVE FIELDS FOR REMOTE RECONNAISSANCE

Abstract

The article is devoted to the development and justification of an effective method of remote reconnaissance and monitoring that uses the unique physical characteristics of explosive fields. The need for such a method is driven by the requirement for reliable, all-weather, and covert identification and localization of explosion sources, which is critical for security, military, and engineering reconnaissance. The method considers an explosion as a complex source that simultaneously generates seismic (elastic) and acoustic (infrasonic) signals. The main objective of the work is to present a method of seismoacoustic monitoring of explosive fields, which allows not only to register but also to classify individual signals, generating highly informative data for remote reconnaissance. The methodology is based on the stages of mathematical modeling of seismoacoustic processes. These stages include: determining the physical conditions for signal generation: a detailed analysis of the conversion of explosion energy into seismic waves propagating in the ground and acoustic (shock/infrasonic) waves propagating in the atmosphere; mathematical principles of modeling physical processes: development of a formalized approach to describe the propagation and registration of these waves, taking into account the characteristics of the environment. The main scientific result is the creation and justification of a parametric mathematical model of seismoacoustic monitoring. This model is presented as a superposition of oscillators, where each oscillator is responsible for modeling a specific informative component of the explosion signal. The proposed model allows the informative parameters that directly characterize the explosion field signal (e.g., energy, frequency composition, arrival time, amplitude) to be isolated and quantitatively evaluated. The use of oscillator superposition ensures high model flexibility and its ability to adapt to different types of explosive signals and environmental conditions. The proposed method provides a solid theoretical basis for the construction of automated remote reconnaissance systems. The use of a parametric model in the form of a superposition of oscillators allows for the effective classification and localization of explosive events, distinguishing them from natural and man-made noise. This significantly increases the reliability and informativeness of seismoacoustic complexes, making the method a valuable tool for operational control and strategic monitoring.