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地震微观前兆预报网络系统设计研究(2-1)——基岩传感器网络和数据融合技术 被引量:1

Study of the network system for earthquake micro precursor forecast (2-1)——Bedrock sensor network and data fusion technology
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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,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。文章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、信号处理技术和网络系统设计。本文介绍基岩传感器网络中所涉及的传感器技术,包括液晶微位移传感器、地热热色传感光纤温度计、激光多普勒振动传感器、基岩微破裂压缩光传感器。 Earthquake prediction is a very difficult problem all over the world. In order to forecast the earthquake correctly, it is necessary to track the whole forming process, pick the useful information after data fusion, signal processing and data transmission, and give a correct judgment at last. Study of the network system for earthquake micro-precursor forecast is presented in detail in this serial paper, which includes model of earthquake, signal acquisition method, bedrock sensor network and data fusion, signal processing, design of network system,etc. The emphases are put on several kinds of central sensors applied in the bedrock sensor network in this paper, including liquid crystal micro-displacement sensor, thermo chromic-optical fiber sensor, laser Doppler vibration sensor, bedrock micro-breakup sensor, etc.
出处 《传感器世界》 2009年第7期6-15,共10页 Sensor World
关键词 基岩 地热 振动 液晶 激光 压缩光 传感器技术 bedrock thermo quake liquid crystal laser squeezed light sensor
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  • 1Roy J and Bosse E, Quantitative comparison of sensor fusion architectural approaches in an algorithm-level test-bed [J]. Proc. SPIE, 1996: 2759.
  • 2Bar-Shalom Y and Li XY, Multi-target multi-sensor tracking: principles and techniques [M]. YBS Publishing, 1995.
  • 3Boceker A, Multiple scan joint probabilistic data association [J]. IEEE Trans. Aerospace Electron. Syst, 1995; 31(3): 1204-1210.
  • 4史永基,高雅利,叶芳.地震微观前兆预报网络系统设计研究(1)——地震模型[J].传感器世界,2009,15(5):6-16. 被引量:2

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