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1.
一个紧密结构地震台网中心核心数据处理系统 总被引：1，自引：1，他引：0
介绍一个基于UNIX类操作系统的紧密结构地震台网中心核心数据处理系统。 该系统适用于复杂结构的数字地震台网中心, 支持以比较低的成本, 可靠地完成地震台网中心的核心任务, 可以接收来自串口和网络的实时地震波形数据, 支持虚拟数字地震台网组网要求的节点数据服务功能等。 该系统的数据服务协议具有实时性高、 通讯可靠、 适应范围广等特点, 可以满足包括地震预警在内的所有实时地震数据应用的需要。 系统结构紧凑, 自动化程度高, 安全, 稳定, 系统伸缩性大, 可以满足台站数目不大于100个的数字地震台网中心的需要, 同时也可以作为大型数字地震台网中心的处理节点, 构成大型数字地震台网中心的数据处理系统。 相似文献
2.
乌鲁木齐遥测地震台网是目前国内同类台网中孔经最大、直传距离最远的全无线传输网络。对于控制乌鲁木齐及北疆部分地区的地震活动起到重作用。除了传统的模拟信号记录外，实时事件数字采集和相应数据处理系统成为该台网的特色之一。本文将详细介绍该系统的软硬件配置、信道及参数选择、运行功能等方面的情况；最后使用１９９３年９￣１１月发生在相应区域内的地震对采集效果和定位能力进行检验。 相似文献
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A community-based, real-time, groundwater level monitoring network consisting of 11 sites was built in Nova Scotia, Canada, using privately owned domestic wells and low-cost, custom-made water level meters. The real-time meters use an ultrasonic sensor to measure water levels and an Internet-of-Things device to transmit the data to the Internet by WiFi or cellular connection. The water level data are plotted in real-time on a time-series graph and are available immediately for online viewing and downloading. Based on observations at three sites, the real-time water level meter data compare well to pressure transducer measurements, with mean absolute errors of less than 0.02 m. The meters are simple to build, and components are readily available from online suppliers at low cost. 相似文献
4.
地震站网全流程一体化监控平台是基于微服务框架,应用数据库、通信、并行计算等传统信息技术,结合新兴的云计算、大数据进行建设的信息服务平台。该平台采用Hadoop分布式处理方案,应用Spring Cloud框架搭建,进行Docker容器封装,以标准RESTful API作为服务接口的微服务架构,实现了各应用服务模块之间的高内聚、低耦合及灵活、可扩展的特性,最终实现对地震台站运行的实时监测、高效运维和一体化管理。 相似文献
5.
地球科学研究的新型观测平台——线缆式海底地震观测台（网）,是一种基于海底光电复合缆的光电传输技术,将传统的陆地地震观测台站向海区延伸、弥补海区地震观测台站的不足,实现实时、长期连续观测地球内部过程的新技术,目前已成为海洋科学的创新性研究平台,相关的技术方法也有了突飞猛进的进步.2018年,我国研发建设的"福建近海海底地震观测台",在前人探索研究的基础上,突破了线缆式海底地震观测台（网）关键技术,实现数据实时传输功能,具备进入地震行业网的能力.经过超过三个月的试运行检验,证实了系统的稳定性和可靠性.本文详细介绍了福建浯屿岛海底地震台（网）研发的关键技术与建设流程、关键技术环节相关规范和检测结果.地震采集数据结果表明,浯屿岛海底地震观测台实现了数据实时流服务,并可接入中国地震局JOPENS系统,数据实时传输正常,并自动存储实时波形数据;试运行期间以实际99%以上的高运行率,达到了国家测震台网管理规定的优秀标准.研发结果可为我国今后的海底地震观测台（网）建设提供重要参考指标与经验借鉴. 相似文献
6.
The method for correcting data from individual neutron monitors at the worldwide network of cosmic ray stations, characterized by the instrument drift and sporadic variations, has been proposed. The correction is performed using the method of spectrographic global survey. The proposed method makes it possible to correct data from the global network of stations immediately during processing and can be used in studies of cosmic-ray intensity long-term variations and in the real-time operation mode. 相似文献
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Artificial neural networks for removal of couplings in airborne transient electromagnetic data 
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下载免费PDF全文 Kristoffer K. Andersen Casper Kirkegaard Nikolaj Foged Anders V. Christiansen Esben Auken 《Geophysical Prospecting》2016,64(3):741-752
Modern airborne transient electromagnetic surveys typically produce datasets of thousands of line kilometres, requiring careful data processing in order to extract as much and as reliable information as possible. When surveys are flown in populated areas, data processing becomes particularly time consuming since the acquired data are contaminated by couplings to man‐made conductors (power lines, fences, pipes, etc.). Coupled soundings must be removed from the dataset prior to inversion, and this is a process that is difficult to automate. The signature of couplings can be both subtle and difficult to describe in mathematical terms, rendering removal of couplings mostly an expensive manual task for an experienced geophysicist. Here, we try to automate the process of removing couplings by means of an artificial neural network. We train an artificial neural network to recognize coupled soundings in manually processed reference data, and we use this network to identify couplings in other data. The approach provides a significant reduction in the time required for data processing since one can directly apply the network to the raw data. We describe the neural network put to use and present the inputs and normalizations required for maximizing its effectiveness. We further demonstrate and assess the training state and performance of the network before finally comparing inversions based on unprocessed data, manually processed data, and artificial neural network automatically processed data. The results show that a well‐trained network can produce high‐quality processing of airborne transient electromagnetic data, which is either ready for inversion or in need of minimal manual processing. We conclude that the use of artificial neural network scan significantly reduce the processing time and its costs by as much as 50%. 相似文献
8.
Junlun Li Huajian Yao Baoshan Wang Yang Yang Xin Hu Lishu Zhang Beng Ye Jun Yang Xiaobin Li Feng Liu Guoyi Chen Chang Guo Wen Yang 《地震研究进展（英文）》2022,2(2):100033
A rapidly deployable dense seismic monitoring system which is capable of transmitting acquired data in real time and analyzing data automatically is crucial in seismic hazard mitigation after a major earthquake. However, it is rather difficult for current seismic nodal stations to transmit data in real time for an extended period of time, and it usually takes a great amount of time to process the acquired data manually. To monitor earthquakes in real time flexibly, we develop a mobile integrated seismic monitoring system consisting of newly developed nodal units with 4G telemetry and a real-time AI-assisted automatic data processing workflow. The integrated system is convenient for deployment and has been successfully applied in monitoring the aftershocks of the Yangbi MS 6.4 earthquake occurred on May 21, 2021 in Yangbi County, Dali City, Yunnan in southwest China. The acquired seismic data are transmitted almost in real time through the 4G cellular network, and then processed automatically for event detection, positioning, magnitude calculation and source mechanism inversion. From tens of seconds to a couple of minutes at most, the final seismic attributes can be presented remotely to the end users through the integrated system. From May 27 to June 17, the real-time system has detected and located 7 905 aftershocks in the Yangbi area before the internal batteries exhausted, far more than the catalog provided by China Earthquake Networks Center using the regional permanent stations. The initial application of this integrated real-time monitoring system is promising, and we anticipate the advent of a new era for Real-time Intelligent Array Seismology (RIAS), for better monitoring and understanding the subsurface dynamic processes caused by Earth's internal forces as well as anthropogenic activities. 相似文献
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Introduction Digital seismic observation systems originated from 1970′s. It has developed greatly in the past 30 years up to now. Its performances were improved, dynamic range and resolution increased a lot, the power consumption decreased a lot, and so on (YOU et al, 2003a, b). In a word, the dream of broad frequency-band, big dynamic range, digitalization of seismic observation has come true already. But, the previous digital seismic observation systems only support communica-tion based o… 相似文献
11.
以JOPENS系统实时流接收为基础,应用Redis共享内存技术和近年来发展较快的深度学习震相自动识别技术,设计一套可7×24小时不间断稳定接收并实时识别连续地震流数据中P、S震相的系统,为地震台网实时数据处理提供一套辅助工具,并在福建省地震局测震台网128个台站的实时数据流上进行测试。该工具由Redis实时数据流共享模块与深度学习震相到时自动拾取、MSDP震相格式转换3个模块组成,可以实时接收并自动识别台网地震连续波形,生成P、S震相报告,并可导入MSDP人机交互工具进一步处理,在一定程度上可以减轻人工处理工作量。 相似文献
12.
宁夏数字地震观测网络项目之网络设计与综合评价 总被引：3，自引：3，他引：0
宁夏数字地震观测网络项目信息服务分项项目组作为整个网络系统集成组,在信息网络系统的建设过程中,依据不同地震观测项目对信道速率、连续率、实时性、网络延时等通信要素的不同要求,考虑到不同节点的基础通信条件的差异,在采用平面星型网络拓扑结构作为总的通信策略的同时,实地考察、科学分析、统一规划、综合布局,对不同类型的节点分别采用不同的通信信道组合策略作为节点的接入方式,采用以OSPF为主要路由协议的多路由协议集成,全面解决了宁夏数字地震观测网络项目的整体通信和路由融合问题,同时也为其他观测项目的数据传递和汇聚提供了可靠的通信网络平台。 相似文献
13.
The main goal of this work is to provide real-time access to the data of the NSH tunnel tiltmeters via the Internet. Software is developed that solves this problem and also provides real-time visualization and archiving of data. The solution is based the specialized real-time protocol SeedLink, which ensures lossless data delivery with minimal transmission overhead. In order to simplify access to the device via IPv4 and to protect data from unauthorized access, a secure channel based on virtual private networks has been used. The solution was tested on two tiltmeters installed in the building of the Institute of Physics of the Earth, Russian Academy of Sciences (IPE RAS). Further device testing with an unstable power supply and communication conditions is planned. Therefore, the developed software was ported to energy-efficient ARM computers. Data transmission tests were carried out in the local IPE RAS network and in the wireless network of a mobile network operator. Real-time visualization of data from both tiltmeters and access to the archive are provided in addition to real-time access to data on the IPE RAS website. 相似文献
14.
Jing Sun Sigmund Slang Thomas Elboth Thomas Larsen Greiner Steven McDonald Leiv-J. Gelius 《Geophysical Prospecting》2020,68(3):845-871
Marine seismic interference noise occurs when energy from nearby marine seismic source vessels is recorded during a seismic survey. Such noise tends to be well preserved over large distances and causes coherent artefacts in the recorded data. Over the years, the industry has developed various denoising techniques for seismic interference removal, but although well performing, they are still time-consuming in use. Machine-learning-based processing represents an alternative approach, which may significantly improve the computational efficiency. In the case of conventional images, autoencoders are frequently employed for denoising purposes. However, due to the special characteristics of seismic data as well as the noise, autoencoders failed in the case of marine seismic interference noise. We, therefore, propose the use of a customized U-Net design with element-wise summation as part of the skip-connection blocks to handle the vanishing gradient problem and to ensure information fusion between high- and low-level features. To secure a realistic study, only seismic field data were employed, including 25,000 training examples. The customized U-Net was found to perform well, leaving only minor residuals, except for the case when seismic interference noise comes from the side. We further demonstrate that such noise can be treated by slightly increasing the depth of our network. Although our customized U-Net does not outperform a standard commercial algorithm in quality, it can (after proper training) read and process one single shot gather in approximately 0.02 s. This is significantly faster than any existing industry denoising algorithm. In addition, the proposed network processes shot gathers in a sequential order, which is an advantage compared with industry algorithms that typically require a multi-shot input to break the coherency of the noise. 相似文献
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本文介绍了采用程序驻留内存技术，利用系统的硬件中断和时钟中断，在微机上研制成功了实时处理系统。该系统具有前后台处理功能，能够在主机ＣＰＵ中同时运行多道程序，使数据采集、事件检测、数据转存、地震定位等均能进行实时处理。该系统可用于区域遥测地震台网和地方遥测地震台网的实时处理。 相似文献
16.
作为深度学习方法的一种,长短时记忆神经网络(LSTM)是一种信号处理的重要方法.本文基于实际观测地电场数据来合成训练集,对特定结构的长短时记忆神经网络进行训练,将训练所得网络对测试集数据进行测试后,将网络应用至实际观测数据.结果显示,经过训练的网络很好地学到了训练集样本的特征,对测试集数据的信噪比压制了约20 dB,并过滤了人为添加的特定频率的干扰成分,对实际观测数据处理后得到明显的日变、半日变以及半月变、月变、半年变、年变等潮汐响应,表明长短时记忆神经网络可以有效应用于地电场数据处理研究. 相似文献
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香港数字化地震监测台网 总被引：1，自引：1，他引：0
香港天文台于１９９７年建立了一套设有８个短周期地震台站的地震监测网络。台网运用数字化及实时数据传送和处理等技术,增强地震数据接收及分析的效能和准确性。本文介绍了地震台站的选址和监测系统的特性与功能。 相似文献
18.
本文对高速铁路与国家地震台网信息接入和资源共享方式进行了讨论。通过对组网模式和时延的分析及测试,在遵循目前地震系统信息传输模式的前提下,对于实时波形数据,可以根据实际情况采取国家中心型或者省局中心型的方式进行共享,用于高铁系统台站的补充,在地震预警发布阶段使用;对于地震速报信息,可以采取国家中心型的方式进行共享,用于地震信息的确认,在地震预警解除阶段使用。为了减小实时数据传输的时延以适应预警需求,应对数据采集器进行升级,并更新相应的流服务器的仪器适配器。 相似文献
19.
The work develops the approximation approach to solving the inverse MTS problem with the use of neural networks. The inverse
problem is considered in model classes of parametrized geoelectric structures, whose electric conductivity is controlled by
a few hundreds of macroparameters (N ∼ 300). An approximate inverse operator of the problem is constructed for each model class as a neural network, whose coefficients
are determined in the process of training on a representative sample of standard examples of forward problem solutions. The
problem of determination of the model class of geolectric structures corresponding to the presented input MT data is solved
with the use of the neural network classifier constructed for the available set of model classes of structures. Regularizing
factors and errors of the neural network method are analyzed. The operation of the algorithm is illustrated by examples of
the 2-D inversion of synthetic MT data. 相似文献
20.
在出现区域大震后,为了迅速展开有效的应急救援行动,需要及时准确了解烈度分布.目前震动图的获得有震后人工调查、震源参数计算、地震监测台网、地震烈度速报台网等几种方式,其中最有效的是在重点监护区建立烈度速报台网.但烈度速报台网建设往往沿用地震监测台网的模式,建设成本高、台站密度有限、实时数据传输量大.本文研制的地震动参数速报仪采用MEMS加速度计为测震传感器和ARM+Linux嵌入式计算机技术,具有体积小、成本小、功耗低、一体化、智能化的特点;其内置地震信息实时处理算法,能够自动判别地震事件并计算地震动参数;在实际应用中安装简便.通过大量密集布设这种小型仪器而组建的地震动参数速报网络,具有数据传输量小、分布式计算、组成的速报网络可靠性高、能够快速产出高分辨率的精细震动图等特点. 相似文献