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为了提高地震信息网络数据存储的效率和稳定性,本文提出一种地震信息网络数据的动态储存方法。首先,设计和分析地震信息网络数据的动态存储系统中的硬件部分,基于Hadoop的分布式集群大数据动态存储系统,整合多台存储服务器,为一个集群系统,并平衡存储服务器负载情况,获取性能指标的比例值,通过加权公式获取综合性能参数,根据综合负载指标和服务器综合指标参数获取最佳存储服务器。对本文系统、高速数据存储系统和网络编码云存储系统进行大数据动态存储对比实验。实验结果表明:地震信息网络数据的动态存储耗时最短,存储效率最快;具有较高存储稳定性,且不会出现过载问题。 相似文献
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EMC存储系统在天津测震台网JOPENS数据库服务中的应用 总被引：1，自引：0，他引：1
主要阐述EMC存储系统在天津测震台网的JOPENS数据库服务中的应用情况,对采用本地存储、EMC SATA硬盘和EMC光纤硬盘存储进行了分析对比,为现存的基于本地存储模式的测震台网JOPENS数据库服务器扩展到统一数据存储模式做示范;为省级区域中心进行统一的数据存储应用环境提供参考. 相似文献
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采用数据库冷备份更换升级玉树地震台前兆服务器 总被引：1，自引：0，他引：1
《高原地震》2015,(Z1)
地震台节点前兆服务器是前兆台网技术系统的核心,它存储汇集了台站的监测数据,通过地震前兆台网数据管理系统实现与上下级的互联互通。主要介绍采用数据库冷备份方法将源服务器中观测的数据安全地迁移到目标服务器中,确保台站观测的数据免遭损失,以实现地震台前兆服务器更换升级,使前兆数据库继续正常运行。 相似文献
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大数据技术为处理海量地震观测数据提供了一种新的数据存储与计算模式。为了解决现有基于关系数据库存储方案的读写速度低、用户并发度低和可扩展性差等问题,以地震前兆观测数据为例,在详细分析业务需求的基础上,提出了基于HBase和Open TSDB的地震大数据存储方案,搭建了大数据测试平台,完成了不同存储方案下查询、插入性能实验和并发性实验。实验结果表明,与关系数据库存储方案相比,基于HBase和Open TSDB的存储方案具有很好的可扩展性和并发性,经过优化后的HBase存储方案具有更高的读取和存储性能。 相似文献
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分析地震电磁信息仪器对信号处理和采集中存在的问题,提出基于ARM9的地震电磁信息数据服务器的解决方案,成功实现了对地震电磁信息的高速采集、海量存储和网络传输。文中介绍地震电磁信息数据服务器设计思路及基本构架,对各个模块给出硬件设计,并介绍系统的软件流程。 相似文献
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利用卫星遥感长波辐射(OLR)资料,分析黑龙江省2004年-2008年发生的几次ML 4.0以上中强地震前的OLR资料,发现地震发生前,在震中附近地区有长波辐射增强的特征,可能与强震孕育过程中的热状态有关,识别和提取卫星对地遥感红外波段的热兆信息,可望在中强地震监测预报的层面上有新的突破. 相似文献
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卫星对地观测技术是全球范围内实时监测孕震区地震活动和震后应急救援的有力工具。过去的几十年里,不同种类的卫星观测数据被应用于地震遥感异常探测领域中,并逐渐开展了从单个震例分析,到普遍规律探索,再到内部机理研究的多方面探讨。但由于地球系统的复杂性和孕震过程的不确定性,地震遥感异常研究仍充满困难和挑战。本文利用文献计量分析方法,探究了现今国内外地震遥感异常研究的关注热点和趋势方向,认为目前对于地震遥感异常的研究已由单一参量发展为多参量联合分析阶段;通过3个前沿研究案例分析了常用的综合分析参量与异常分析方法,以及多参量之间的时空同步性关系,表明多参量遥感异常的结合研究和交叉验证是地震遥感异常研究中的重要手段,可以在未来地震前兆研究中发挥重要作用。 相似文献
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It has been proved through experiments that the electromagnetic radiation energy of a substance will vary when stress acts on the substance. This moment, the electromagnetic radiation energy (observation value) received by the remote sensor is triggered not only by the substance temperature and also by the stress. Separating quantitatively these two kinds of electromagnetic radiation energy and then inversing the actual temperature state and stress state of a medium is a matter with practical significance in earthquake prediction and stability monitoring for the large-scale geotechnical engineering. In this paper the principle and the mathematical method for inversing stress by using multiband remote sensing data are discussed in detail. A calculation example is listed. 相似文献
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本文详细地介绍了四川1989年巴塘6.7级震群发生过程中,地倾斜异常特征,临震三要素的判断及其跟踪预报过程,是一篇对该次震群短临预报工作的概括。 相似文献
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卫星遥感热红外辐射与川滇强震探讨 总被引：10，自引：0，他引：10
为了使卫星空间监测技术在地震监测预报的应用研究由理论性、实验性阶段进入实用性阶段，进行了探索和尝试。按照地震前兆资料常规处理的格式和要求，对收集的部分卫星遥感热红外辐射观测资料进行了处理。处理过程中使用了包含数据格式转换、数据预处理、异常挑选等内容的计算机工作软件。在此基础上，根据卫星遥感数据资料所具有的二维均匀分布的特性，应用平面和立体的数据图像处理软件，对卫星遥感热红外辐射观测资料的异常场信息进行了研究。同时，开发出了使用卫星遥感热红外辐射观测资料的数据接口软件。卫星空间监测技术的应用将给地震监测预报带来全新的思维方式及更加快捷实用的数据采集、传送、处理和分析方法。 相似文献
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A PRELIMINARY STUDY ON THE METHOD OF SEISMIC INTENSITY ASSESSMENT BASED ON RESIDENTIAL BUILDING DATA AND HIGH RESOLUTION REMOTE SENSING IMAGES 
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下载免费PDF全文 After destructive earthquakes, the assessment result of seismic intensity is an important decision-making basis for emergency rescue, recovery and reconstruction. This job requires higher timeliness by government and society. Because remote sensing technology is not affected by the terrible traffic conditions on the ground after the earthquake, large-scale seismic damage information in the earthquake area can be collected in a short time by the remote sensing image. The remote sensing technique plays a more and more important role in rapid acquisition of seismic damage information, emergency rescue decision-making, seismic intensity assessment and other work. On the basis of previous studies, this paper proposes a new method to assess seismic intensity by using remote sensing image, i.e. to interpret the building collapse rate of a residential quarter after an earthquake by high-resolution remote sensing images. If there already are detailed building data and building structure vulnerability matrix data of a residential area, we can calculate the building collapse rate under any intensity values in this residential area by using the theory of earthquake damage prediction. Assuming that the building collapse rate interpreted by remote sensing is equal to the building collapse rate predicted by using the existing data, it will be easy to calculate the actual seismic intensity of the residential area in this earthquake event. Based on this idea, according to the relevant standard specifications issued by China Earthquake Administration, this paper puts forward some functional models, such as the calculation model of building collapse rate based on remote sensing, the data matrix model of residential building structure, the prediction function matrix model of residential building collapse rate and the prediction model of residential building collapse rate. A formula for calculating seismic intensity by using remote sensing interpretation of collapse rate is also proposed. To test and verify the proposed method, this paper takes two neighboring blocks of Jiegu Town after the Yushu M7.1 earthquake in Qinghai Province as an example. The building structure matrix of the study block was constructed by using pre-earthquake 0.6m resolution satellite remote sensing image(QuickBird, acquired on November 6, 2004), post-earthquake 0.2m aerial remote sensing image(acquired by National Bureau of Surveying and Mapping, April 15, 2010) and some field investigation data. The building collapse rate in the two blocks was calculated by using the interpretation results of seismic damage from the Remote Sensing Technology Coordinating Group of China Seismological Bureau. The seismic damage matrix of building structures in Yushu area is constructed by using the abundant scientific data of the scientific investigation team of the project “Comprehensive Scientific Investigation of the Yushu M7.1 Earthquake in Qinghai Province” of China Seismological Bureau. On this basis, the collapse rate prediction function of different structures in Yushu area is constructed. According to the prediction function of collapse rate and the building structure matrix of the two blocks, the building collapse rate under different intensity values is predicted, and the curve of intensity-collapse rate function is drawn. By comparing the building collapse rate interpreted by remote sensing and the intensity-collapse rate function curve of this two blocks, the seismic intensity of both blocks are calculated to be the same value: Ⅸ degree, which is consistent with the results of the field scientific investigation of the earthquake. The validation shows that the method proposed in this paper can effectively avoid the influence caused by the difference of seismic performance of buildings and accurately evaluate seismic intensity when using remote sensing technique. The method has certain application value for earthquake emergency work. 相似文献