地震应急指挥中心可视化中控系统的设计与实现

介绍地震应急指挥中心中控系统的建设情况,阐述了可视化智能中控系统的功能需求、逻辑结构和应用框架结构,分析了可视化智能中控系统的功能特点,并对中控系统的技术发展和应用进行展望。     

水平定向钻穿越工程的项目风险评价

随着我国城市化进程的加快,以及大型基础工程建设投入力度的加大,大型的水平定向钻穿越工程项目也越来越多,然而针对这类工程的风险评价却还不多。某大型天然气输气管道工程项目,投资多,风险大,事先进行风险评估十分必要。首先根据项目专家进行项目评估建立指标体系,然后结合模糊综合评价法和层次分析法各自的优点,针对该指标体系及专家所提供的评判数据,建立判断矩阵和隶属度矩阵并运用Matlab编程计算得权向量和隶属度向量,计算得出项目的风险值,得出相应的结论。     

田湾核电站5号、6号机组负挖爆破设计与质量控制

综述了在商业运行的核电站周边进行核岛负挖爆破的设计和质量控制,尤其对负挖预裂爆破和核岛廊道爆破技术及质量控制要点进行了较详细的表述,为类似核电负挖工程提供借鉴。     

非开挖HDD地表变形数值模拟及DCRP识别技术研究

采用非开挖水平定向钻进技术近地表施工时,由于地层及钻井液压力等原因易产生地表变形。结合美国梅萨市一处通信管道施工实例,对0-0.9 MPa钻井液压力作用下的地表变形程度进行了数值分析,得到地表最大隆起量为26 mm。采用DCRP技术及水准仪方法对该变形区域钻井液压力作用前后的地表进行位移检测,得到地表最大隆起量分别为28 mm和30 mm,表明数值模拟分析结果同现场检测结果比较吻合。同时,在现场所布置的26个检测点中,两种方法检测到的隆起量最大相差2.7 mm,表明其精度比较接近。此外,由于DCRP技术属于非接触式三维检测,受施工现场条件及人员操作限制少,故具有较为理想的应用前景。     

Fracture plane control in rock blasting

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城市土地空间利用评价预警调控系统的设计与实现

在土地资源紧缺等"城市病"问题愈发突出的背景下,提高土地集约利用效率是国土资源管理的重点研究方向。为支撑城市土地空间资源集约利用研究,本文在深入研究城市土地利用评价及空间演化模拟技术的基础上,基于C#.NET开发平台,结合ArcGIS Engine组件技术,研发了城市土地空间利用评价预警调控系统,实现土地空间利用评价、预警及政策仿真调控等功能,作为科学管理土地的辅助工具。本文对系统的总体需求、系统结构及主要功能设计与实现进行了阐述,以期为土地资源管理研究及相关软件研发提供参考。     

京西木城涧矿区窑坡组沉积体系及相关聚煤因素

通过实测剖面、岩矿鉴定、编制沉积断面图、砂体和煤层等厚图等资料分析,从京西木城涧矿区窑坡组中识别出湖泊沉积体系、河流沉积体系和沼泽沉积体系,并详细阐述了其成因相的岩相构成;在此基础上,指出窑坡组沉积早期为湖泊环境,主体沉积期为总体NE流向的网结河环境,其间伴随湖泊或河流周期性消亡而大面积泥炭沼泽化形成了稳定的可采煤层和含煤沉积旋回。富煤带总体呈NE50°～80°展布,与泥炭沼泽沉积期下伏不同沉积相的压实效应有关,后者通过影响地表起伏和积水深度,控制着泥炭的堆积速率和厚度。     

采煤活动对唐山城市建设场地稳定性的影响分析

通过InSAR地表变形监测技术和数学模型理论计算,采空塌后期场区地基土的稳定性主要取决于采空区顶部的土体而不是岩体。城市规划区内局部有5层可采煤层,尤其是-200m以下的煤层停采在20世纪70年代以前,已完全塌落、压密、再造。而塌后期的土体底部粘土隔水层被拉裂,在双层水位作用下发生潜蚀形成土洞造成地面不均匀沉陷,影响城市建设场地的稳定性。     

基于波束控制的卫星导航接收机抗干扰算法研究

卫星导航接收机抗干扰技术是接收机设计的一项关键技术。在研究基于功率反演的空域自适应抗干扰算法基础上,提出了采用基于波束控制的抗干扰算法,并进行了仿真计算,结果表明：该算法明显提高了接收机抗干扰性能。     

Robust dual‐sensor data sea‐surface ghost attenuation for quality control purposes

Three‐dimensional receiver ghost attenuation (deghosting) of dual‐sensor towed‐streamer data is straightforward, in principle. In its simplest form, it requires applying a three‐dimensional frequency–wavenumber filter to the vertical component of the particle motion data to correct for the amplitude reduction on the vertical component of non‐normal incidence plane waves before combining with the pressure data. More elaborate techniques use three‐dimensional filters to both components before summation, for example, for ghost wavelet dephasing and mitigation of noise of different strengths on the individual components in optimum deghosting. The problem with all these techniques is, of course, that it is usually impossible to transform the data into the crossline wavenumber domain because of aliasing. Hence, usually, a two‐dimensional version of deghosting is applied to the data in the frequency–inline wavenumber domain. We investigate going down the “dimensionality ladder” one more step to a one‐dimensional weighted summation of the records of the collocated sensors to create an approximate deghosting procedure. We specifically consider amplitude‐balancing weights computed via a standard automatic gain control before summation, reminiscent of a diversity stack of the dual‐sensor recordings. This technique is independent of the actual streamer depth and insensitive to variations in the sea‐surface reflection coefficient. The automatic gain control weights serve two purposes: (i) to approximately correct for the geometric amplitude loss of the Z data and (ii) to mitigate noise strength variations on the two components. Here, Z denotes the vertical component of the velocity of particle motion scaled by the seismic impedance of the near‐sensor water volume. The weights are time‐varying and can also be made frequency‐band dependent, adapting better to frequency variations of the noise. The investigated process is a very robust, almost fully hands‐off, approximate three‐dimensional deghosting step for dual‐sensor data, requiring no spatial filtering and no explicit estimates of noise power. We argue that this technique performs well in terms of ghost attenuation (albeit, not exact ghost removal) and balancing the signal‐to‐noise ratio in the output data. For instances where full three‐dimensional receiver deghosting is the final product, the proposed technique is appropriate for efficient quality control of the data acquired and in aiding the parameterisation of the subsequent deghosting processing.