微震信号交互式分析与自动化处理的集成平台

An Integrated Platform for Interactive Analysis and Automated Processing of Microseismic Signals

摘要: 微震监测在油气开采、矿山安全、滑坡监测及结构健康诊断中具有重要意义。但现有处理工具存在开源软件分散、交互性差，以及商业软件封闭、成本高等问题。为此，本文开发了一种集成微震信号交互分析与自动化处理的平台。该平台支持多种数据格式导入，提供滤波、去噪、时频分析等预处理功能，集成长短时窗事件识别和基于到达时间差的震源定位算法，并具备在线自动监测能力。平台兼顾交互操作与批量处理，既适合科研探索，又满足工程应用需求。以重庆旧县坪滑坡监测数据为例，结果表明该平台事件识别准确、定位误差小，可为滑坡等灾害监测预警提供有效支撑。该研究为微震信号从波形处理到震源参数获取提供了一体化解决方案。

Abstract: Microseismic monitoring is essential for oil and gas extraction, mine safety, landslide surveillance, and structural health assessment. Yet existing tools are limited by fragmented open-source software with poor interactivity and closed commercial software with high cost. To address this, we present an integrated platform that unifies interactive analysis with automated processing of microseismic signals. It supports diverse data formats, implements preprocessing (filtering, denoising, time-frequency analysis), event detection via Short-Term Average/Long-Term Average, and source location using arrival-time differences, with real-time monitoring capability. The platform balances flexibility and efficiency, serving both research and engineering needs. Application to the Jiuxianping landslide in Chongqing confirms high event-detection accuracy and low location errors, underscoring its value for hazard monitoring and early warning. This study provides an integrated solution for microseismic signal analysis, spanning from waveform processing to source parameter extraction.