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    • 4. 发明专利
    • Earthquake disaster prevention system using urgent earthquake prompt report
    • 使用紧急地震报告报告的地震灾害预防系统
    • JP2006170739A
    • 2006-06-29
    • JP2004362198
    • 2004-12-15
    • Ers:KkHakusan Kogyo KkKajima CorpOyo Jishin Keisoku Kk応用地震計測株式会社株式会社イー・アール・エス白山工業株式会社鹿島建設株式会社
    • KANDA KATSUHISAMIYAMURA MASAMITSUSATAKE AKIHIROYOSHIDA MINORUKUSANO NAOMIKIINABA OSAMU
    • G01V1/00G01V1/28G06N3/00
    • PROBLEM TO BE SOLVED: To output a report on an earthquake and a control signal prior to the arrival of a main movement of the earthquake by using an urgent earthquake prompt report, to perform not only the prompt report but also high-accuracy evaluation in consideration of a predominant period of the ground and the vibration characteristics of a building by using a neural network, and to dramatically enhance the reliability of prediction by optimizing the neural network by learning, as to earthquake disaster prevention for facilities, buildings, etc. SOLUTION: The quake or the level of damage at a target point is estimated prior to the arrival of the main movement of the earthquake by using the neural network that adopts, as input parameters, not only the magnitude at the seismic center, the position (longitude and latitude) of the seismic center, the depth of the seismic center, and the arrival time and size of earthquake motion, acquired from the urgent earthquake prompt report, but also dynamic characteristics such as the predominant period of the ground at an object point previously acquired by survey and, as to the interior of a building, the proper period, damping stories, etc. of the building, to perform reporting for earthquake disaster prevention or controlling on installations/equipment. Optimization is achieved by thereto adding a self-learning function. COPYRIGHT: (C)2006,JPO&NCIPI
    • 要解决的问题:通过使用紧急地震提示报告,在地震主要运动到达之前输出地震报告和控制信号,不仅要及时报告,而且要执行高精度 通过使用神经网络考虑建筑物的主导时间和振动特性,通过学习优化神经网络,对设施,建筑物等进行地震灾害预防,大幅度提高预测的可靠性。 解决方案:在地震主要运动到达之前,估计目标点的地震或损伤程度,使用神经网络作为输入参数,不仅在地震中心处的震级 ,地震中心的位置(经度和纬度),地震中心的深度以及从紧急地震提示报告获得的地震运动的到达时间和大小 ,而且还包括动态特征,如先前通过调查获得的对象点的地面的主要​​时期,建筑物的内部,建筑物的适当时期,阻尼故事等,进行地震灾害报告 预防或控制装置/设备。 通过添加自学习功能实现优化。 版权所有(C)2006,JPO&NCIPI
    • 5. 发明专利
    • Earthquake early warning system
    • EARTHQUAKE早期警报系统
    • JP2009032141A
    • 2009-02-12
    • JP2007196995
    • 2007-07-30
    • Kajima CorpOyo Jishin Keisoku Kk応用地震計測株式会社鹿島建設株式会社
    • KANDA KATSUHISAMIYAMURA MASAMITSUNASU TADASHIABE MASAFUMISATAKE AKIHIRO
    • G08B21/10G01V1/00G01V1/28G08B31/00
    • PROBLEM TO BE SOLVED: To provide an earthquake early warning system for issuing a warning earlier than before, minimizing earthquake damages even when there is no time to lose with the existing emergency earthquake report, and it is difficult to take effective measures, in the case of a direct-hit earthquake or the like.
      SOLUTION: Local seismometers are installed on points or areas to be warned. The local seismometers are disposed in a triangle shape with certain distance. The intensity of an S wave is estimated based on a maximum value of the velocity of a P wave in the vertical direction in predetermined several seconds from the start of detection of the P wave detected by the local seismometers. The warning is issued when the intensity of the estimated S wave exceeds a set level. Also, a receiver for an emergency earthquake report of Japan Meteorological Agency is provided. By inputting information into a decision processing circuit, it is possible to use an emergency earthquake report data when a seismic center is far.
      COPYRIGHT: (C)2009,JPO&INPIT
    • 要解决的问题:提供一种比以前发布警报的地震预警系统,即使在现有的紧急地震报告没有时间输入的情况下,也能最大限度地减少地震的损失,难以采取有效措施, 在直击地震等的情况下。

      解决方案:本地地震仪安装在要警告的点或区域上。 局部地震仪以一定距离设置成三角形。 基于由本地地震仪检测到的P波的检测开始起的预定的数秒内,基于垂直方向上的P波的速度的最大值来估计S波的强度。 当估计的S波的强度超过设定的水平时,发出警告。 此外,还提供了日本气象局紧急地震报告的接收方。 通过将信息输入到决策处理电路中,当地震中心很远时可以使用紧急地震报告数据。 版权所有(C)2009,JPO&INPIT

    • 6. 发明专利
    • EARTHQUAKE EARLY DETECTING SYSTEM HAVING SELF-LEARNING FUNCTION BY NEURAL NETWORK
    • JPH1164533A
    • 1999-03-05
    • JP22488497
    • 1997-08-21
    • KAJIMA CORP
    • KANDA KATSUHISA
    • G01V1/28G06F15/18G06N3/00
    • PROBLEM TO BE SOLVED: To improve evaluation precision by applying a neural network to the evaluation of hypocentral parameter (magnitude, hypocentral distance and depth) performed within an observation point earthquake detecting device. SOLUTION: The evaluation of hypocentral parameter of an earthquake early detecting system having a self-learning function by a neural network is shown by flowcharts, wherein (a) is performed when an earthquake is present, and (b) is performed in learning which is performed sometimes when no earthquake is present. This system is basically the same as a conventional. system, and all evaluations are instantaneously ended after detection of an S-wave only in one observation point. In this system, the evaluation is performed by use of a neural network having all conceivably influential parameters as inputs. The neural network is an analyzing tool modeled after human neutron which has two functions of a learning function and an evaluating function using the network obtained therefrom. The learning is ordinarily performed, the hypocentral information of the Japan Meteorological Agency extending from the initial information of earthquake wave to the detected point to derive a network for evaluating the optimum value of the hypocentral parameter.
    • 7. 发明专利
    • Earthquake damage evaluation program
    • 地震灾害评估计划
    • JP2008039446A
    • 2008-02-21
    • JP2006210560
    • 2006-08-02
    • Kajima Corp鹿島建設株式会社
    • KANDA KATSUHISAUKON HACHIROMIYAMURA MASAMITSUHIRAYAMA YASUNORI
    • G01V1/28G06Q10/00G06Q10/04G06Q50/00G06Q50/10G06Q50/26
    • PROBLEM TO BE SOLVED: To provide an earthquake damage evaluation program capable of precisely evaluating damage of a building when hit by an earthquake.
      SOLUTION: A computer 10 for evaluating earthquake damage of a building is operated as: a storage means 12 storing a map 14 of an object region R including the object building A and positions 13, 19 of a plurality of earthquake observation points C and a damage rate function 16 of the building A to earthquake motion; an earthquake motion characteristic setting means 20 setting an earthquake motion distance attenuation expression 21 of an engineering base 1 of the object region R and an earthquake motion amplification rate distribution 22 of a surface ground 2; an input means 25 inputting as earthquake information an earthquake motion observation value I of each observation point C, an earthquake magnitude M, and a seismic center position B; an earthquake motion distribution calculation means 30 calculating an earthquake motion distribution P of the surface of the ground of the object region R from the earthquake information I, M, B and the earthquake motion distance attenuation expression 21 and the earthquake motion amplification rate distribution 22; a damage calculation means 35 calculating damage Q of the building A from the earthquake motion distribution P, the position 13 of the building A, and the damage rate function 16; and an output means 40 outputting the map 14, the earthquake motion distribution P, and the damage Q.
      COPYRIGHT: (C)2008,JPO&INPIT
    • 要解决的问题:提供一种能够精确评估建筑物遭受地震袭击时的破坏的地震损害评估程序。 解决方案:用于评估建筑物的地震损坏的计算机10作为存储装置12存储包括对象建筑物A的物体区域R的地图14和多个地震观测点C的位置13,19 和建筑物A的破坏率函数16对地震动作; 设定对象区域R的工程基础1的地震运动距离衰减表达式21和地面地面2的地震运动放大率分布22的地震运动特性设定单元20; 作为地震信息输入各观测点C的地震运动观测值I,地震震级M和地震中心位置B的输入单元25, 地震运动分布计算装置30,根据地震信息I,M,B和地震运动距离衰减表达式21以及地震运动放大率分布22计算对象区域R的地面的地震运动分布P; 从地震运动分布P,建筑物A的位置13和损伤率函数16计算建筑物A的损伤Q的损伤计算装置35; 以及输出地图14,地震运动分布P和损伤Q的输出单元40。(C)2008,JPO&INPIT
    • 9. 发明专利
    • SEISMIC INTENSITY FORECASTING SYSTEM
    • JPH06324160A
    • 1994-11-25
    • JP358393
    • 1993-01-12
    • KAJIMA CORP
    • KANDA KATSUHISAKANAYAMA HIROOMIYAMURA MASAMITSUMOROI TAKAFUMIYAMANAKA HIROAKIDAIHO NAOTOTAKAHASHI KATSUYA
    • G01V1/00E04H9/02G01V1/28G08B21/00G08B21/10
    • PURPOSE:To forecast the seismic intensity at a forecasting point by calculating the characteristic values from the accelerating speed wave form or speed wave form during the course from the arrival of the P wave to the arrival of S wave at the observation point in the vicinity of an electric power source and calculating the damping quantity corresponding to the distance from the electric power source, from these characteristic values. CONSTITUTION:A seismic intensity forecasting system is constituted of an observation point device 1, central observation center device 2, and a forecasting point device 3. By the device 1, two horizontal compoments and vertical component of the seismic wave are observed, and after amplification, A/D conversion is carried out, and the characteristics such as the amplitude, phase, continuation time, ratio between the horizontal movement and vertical movement, etc., are calculated from the accelerating speed wave form or the speed wave form of the P wave which reaches at first by a mu-CPU, and the direction, depth of a seismic source, seismic intensity and seismic source distance at the observation point, seismic source distance, and the seismic source distance at the forecasting point are calculated from these characteristic values. These data is transmitted to the center device 2, and the seismic intensity at the target forecasting point is calculated by a host computer. The forecasted seismic intensity = C0 + seismic intensity of initial movement at observation point + C1X log (seismic source distance at observation point) - C2 X log (seismic source distance at forecasting point (in this equation, C0, C1, and C2 are constants).