【摘要】 地震预报是一个极大挑战性的世界难题。为了准确地预报地震必须跟踪地震的整个孕育过程。例如利用基岩传感器网络收集地震微观前兆的各种信息,包括基岩应力、应变和破裂强度的变化、基岩振动状态的变化、引力波和冲击波强度的变化、地热温度分布的变化、电磁场的变化等。经过传感器数据融合和信号处理提取有用信息,然后由数据处理中心做出决策判断。提出了地震微观前兆预报网络系统设计的一整套详细方案,包括地震模型、基岩传感器网络和数据融合以及信号处理技术和网络系统设计。本文介绍地震模型的建立更多还原

【Abstract】 Earthquake prediction is a very difficult problem all over the world. It is necessary to track the whole forming process for correct earthquake forecast . For example, bedrock sensor network is used to collect the information of earthquake precursors, including changes of bedrock stress, strain and bursting strength, bedrock vibration status, gravitational wave strength, shock wave strength, terrestrial heat temperature distribution and electromagnetic field strength, etc. After data fusion and signal processing , the useful information is pick-up and is sent to data process center for giving correct judgment. A study of design of the network system for earthquake micro precursor forecast is presented in detail in this serial papers, which include model of earthquake, signal acquisition methods, bedrock sensor network and data fusion, signal processing, design of network system. The emphases is put on how to build the model of earthquake in this paper. The correlation theories and statistical method are introduced too.更多还原