著者

森田 裕一 酒井 慎一 中川 茂樹 笠原 敬司 平田 直 鏡 弘道 加藤 拓弥 佐藤 峰司

出版者

東京大学地震研究所

雑誌

地震研究所彙報 (ISSN:00408992)

巻号頁・発行日

vol.84, no.2, pp.89-105, 2009

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The Autonomous Cooperative data Transfer Protocol (ACT protocol) is one of the data transfer protocols based on UDP/IP developed for the Metropolitan Seismic Observation network (MeSO-net). It has a robust re-send function to prevent data from being lost in the Internet route. Moreover, it also has a function to adjust the data transmission rate considering the quality of the Internet route and the load on the data-receiving system. If the Internet route is too busy to send all data, the transmission rate from the observation station is decreased automatically to ease the Internet traffic jam, and data that cannot be sent because of the limitation on the transmission rate are stored at each station. After conditions recover, the stored data are sent automatically at an increasing transmission rate and gradually catch up with real-time data. The transmission rate is decided by data transmission equipment at the station using pre-loaded algorithms, not at the data center. Therefore, the load at data center equipment is not so high even if the equipment receives data from hundreds of stations. We describe an overview of the ACT protocol, flow charts, and data format used in the protocol. We also demonstrate that the ACT protocol is very powerful for the vast size of the seismograph network composed of several hundred stations. The ACT protocol is generally applicable and can be used for data transmission systems in other scientific fields.

著者

川北 優子 酒井 慎一

出版者

東京大学地震研究所

雑誌

地震研究所彙報 (ISSN:00408992)

巻号頁・発行日

vol.84, no.2, pp.127-139, 2009

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The Special Project for Earthquake Disaster Mitigation in the Tokyo Metropolitan Area has been ongoing (2007−2012). Under this project, the Metropolitan Seismic Observation network (MeSO-net), which consists of about 400 observation sites, has been constructed. The correlations of waveform from local and teleseismic events are high because observation sites are deployed at about 2 or 3-km intervals. In addition, the later phase is easily identified although artificial noise is very intense. However, we are attempting to improve quality by characterizing the various types of noise. In the metropolitan area, various human activities are observed that generate noise such as trains, automobiles, aircrafts, factories, and electrical power. These adversely affect our observations. We recognize various types of noise from continuous records. A spectral graph and a spectrogram in each station are useful for characterizing signals and noise. We also discovered a form of system noise obtained from the relationship between sensor and electrical circuit. We named it Aurora Noise. The strength of Aurora Noise was reduced by improving the electrical circuit. Our study will lead to improving the quality of observed data, and contribute to a new assessment of seismic hazard in the Tokyo Metropolitan Area in Japan.

著者

中川 茂樹 鶴岡 弘 川北 優子 酒井 慎一 平田 直

出版者

東京大学地震研究所

雑誌

地震研究所彙報 (ISSN:00408992)

巻号頁・発行日

vol.84, no.2, pp.107-114, 2009

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We launched the Special Project for Earthquake Disaster Mitigation in the Metropolitan Tokyo area to obtain high-resolution images of three-dimensional seismic wave velocity and attenuation structures. The core item of this project is a dense seismic array called MeSO-net for making observations in the metropolitan area. MeSO-net consists of 400 seismic stations, from which data are continuously collected at the Data Center at ERI. At the Sub-Center at NIED, data are backed up and integrated with Hi-net data. Seismic data with a sampling rate of 200 Hz are transmitted to the Data Center using ACT protocol. Data from all stations are received at the Data Center at ERI. After checking the quality (including lost packets) of data received, data are automatically processed and archived using the WIN system. This observational network and the Data Center are equipped with several new functions for reliable data transmission and ease of maintenance.