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作 者:高峰 李永生 郝永梅 吴海军 刘长生 石伟 李娇 王宁 GAO Feng;LI Yongsheng;HAO Yongmei
机构地区:[1]黑龙江省地震局,哈尔滨150090
出 处:《科技创新与应用》2025年第6期40-42,47,共4页Technology Innovation and Application
基 金:黑龙江省地震局科研项目(202301);黑龙江省地震局创新团队(无编号)。
摘 要:我国是世界上震害严重的国家之一,提高地震预测预报水平是国家和社会公众的迫切需求。地球物理台网的发展在地震预测、资源勘探和环境监测等领域发挥重要作用。该文介绍一种基于Python开发的地球物理台网数据实时采集与监控系统。该系统集成实时数据采集、智能分析和故障报警三大核心功能。数据采集利用Python的requests库,通过模拟登录获取地震观测仪器的数据。智能分析模块通过对省级数据库中的数据进行统计分析,提取关键指标并评估数据质量。故障报警功能则监测仪器的通信状态,一旦检测到异常,系统会自动触发警报,提醒值班人员及时处理。该系统不仅提升地球物理观测网络的自动化和智能化水平,还为地震监测和数据管理提供有力支持。China is one of the countries with serious earthquake disasters in the world.Improving the level of earthquake prediction and prediction is an urgent need of the country and the public.The development of geophysical networks plays an important role in the fields of earthquake prediction,resource exploration and environmental monitoring.This paper introduces a real-time data acquisition and monitoring system for geophysical network based on Python.The system integrates three core functions:real-time data collection,intelligent analysis and fault alarm.Data acquisition uses Python's requests library to obtain data from seismic observation instruments through simulated login.The intelligent analysis module performs statistical analysis on data in provincial databases,extracts key indicators and evaluates data quality.The fault alarm function monitors the communication status of the instrument.Once an abnormality is detected,the system will automatically trigger an alarm to remind the person on duty to deal with it in a timely manner.This system not only improves the automation and intelligence level of geophysical observation networks,but also provides strong support for earthquake monitoring and data management.
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