Abstract

The paper describes a software package developed for automated monitoring of seismic activity of the Khibiny mountain massif. The general structure of the software package is described, and the applied methods and algorithms are considered in detail. In particular, the algorithm for locating the source of a seismic event via grid searches, which are specified as sets of circles and are categorized during execution of the algorithm, is described in detail. The proposed location methods are combined into several packages—scenarios to optimize the time spent by a geophysicist in routine interactive processing of a large dataset. Because the described software package was created to process data from seismic networks located directly in the mining area, much attention is paid to increasing the reliability of detecting target signals in a high-noise environment and the accuracy in determining the arrival times of body waves. To solve these problems, the system implements a new approach to locating close events, based on the idea of a holistic perception of a signal record, which is very close to the concept of human perception of objects. The algorithms and methods for detecting and locating seismic event generation sites implemented in the software package can significantly increase the reliability of the solutions obtained and increase the accuracy and efficiency of the final interactive processing of seismic signal records.

中文翻译：

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用于监视Khibiny地块地震的LORS2软件包：构造原理和基本算法

摘要

本文介绍了用于自动监控Khibiny山地块地震活动的软件包。描述了软件包的一般结构，并详细考虑了应用的方法和算法。特别地，详细描述了用于通过网格搜索来定位地震事件的源的算法，该算法被指定为圆组并且在算法的执行期间被分类。所提出的定位方法被组合到几个程序包中，以优化地球物理学家在大型数据集的日常交互处理中花费的时间。由于创建上述软件包是为了处理直接位于矿区的地震网络的数据，在提高在高噪声环境中检测目标信号的可靠性以及确定体波到达时间的准确性方面，已经引起了很多关注。为了解决这些问题，系统基于对信号记录的整体感知的思想，实现了一种用于定位关闭事件的新方法，该思想与人类对物体的感知非常接近。软件包中实现的用于检测和定位地震事件发生地点的算法和方法可以显着提高获得的解决方案的可靠性，并提高地震信号记录最终交互处理的准确性和效率。基于对信号记录的整体感知的概念，这与人类对物体的感知的概念非常接近。软件包中实现的用于检测和定位地震事件发生地点的算法和方法可以显着提高获得的解决方案的可靠性，并提高地震信号记录最终交互处理的准确性和效率。基于对信号记录的整体感知的概念，这与人类对物体的感知的概念非常接近。软件包中实现的用于检测和定位地震事件发生地点的算法和方法可以显着提高获得的解决方案的可靠性，并提高地震信号记录最终交互处理的准确性和效率。