公开(公告)号：US5729451A

公开(公告)日：1998-03-17

申请号：US566353

申请日：1995-12-01

Applicant: Bruce P. Gibbs ,  David W. Porter ,  William E. Yancey

Inventor： Bruce P. Gibbs ,  David W. Porter ,  William E. Yancey

IPC: G06F17/17

CPC classification number: G06F17/17

Abstract: A data fusion workstation apparatus and method utilizes algorithms and can be used for applications such as, e.g., hydrogeological modeling, steady-state hydrological flow modeling, transport uncertainty determination, flow/transport fusion, oil reserve management, water supply development, geo-technical engineering projects, and management decision optimization. The invention uses a spatial continuity model which is extended to 3D and equations are provided for computation of the spatial AR coefficients from a desired covariance function. The data fusion workstation provides more robust optimization iterations by use of an algorithm that includes Trust Region or Step Halving methods to limit the Gauss Newton step in solving non-linear least squares problems. Measurement biases and error parameters, and parameters which define a hydrological flow model can be included in the common set of estimated states. An LSQR or other iterative algorithm is used to reduce the computation time for each step of a nonlinear optimization, thereby allowing computation of problems having a very large number of states. The invention preferably provides transport uncertainty calculations in a fusion post-processing step. The invention allows contaminant measurements to be used with hydraulic head and conductivity measurements for better calibration of flow and transport models.

Abstract translation: 数据融合工作站设备和方法利用算法，可用于水文地质建模，稳态水文流量建模，运输不确定性确定，流量/运输融合，储油管理，供水开发，地质技术 工程项目和管理决策优化。 本发明使用延伸到3D的空间连续性模型，并且提供用于从期望的协方差函数计算空间AR系数的等式。 数据融合工作站通过使用包含Trust Region或Step Halving方法的算法来提供更强大的优化迭代，以限制高斯牛顿步骤求解非线性最小二乘问题。 测量偏差和误差参数以及定义水文流模型的参数可以包含在共同的一组估计状态中。 使用LSQR或其他迭代算法来减少非线性优化的每个步骤的计算时间，从而允许计算具有非常大数量的状态的问题。 本发明优选地在融合后处理步骤中提供运输不确定性计算。 本发明允许污染物测量与液压头和电导率测量一起使用，以更好地校准流动和运输模型。

公开(公告)号：US5321613A

公开(公告)日：1994-06-14

申请号：US974405

申请日：1992-11-12

Applicant: David W. Porter ,  James S. Vandergraft ,  Buddy G. Beck ,  Bruce P. Gibbs

Inventor： David W. Porter ,  James S. Vandergraft ,  Buddy G. Beck ,  Bruce P. Gibbs

IPC: G01S13/86 ,  G01V11/00 ,  G06F17/00 ,  G01V5/00 ,  G06F15/00

CPC classification number: G06K9/0057 ,  G01S13/86 ,  G01V11/00 ,  G06K9/6289

Abstract: A data fusion workstation provides an apparatus and method for realizing the full potential of geophysical and remote sensing by mathematically integrating sensors with each other. Sensor data from each of a plurality of sensor types are related mathematically to each other through a common site model to produce a fused picture with quantified accuracy. Using the concept of pseudo-data, information in sensor data is made equivalent to data in a statistical correlation model, allowing fusion of model information with sensor data during a data inversion step. The process of data fusion comprises several processing steps, which are executed by various microprocessors in a recursire/distributed/parallel-architecture platform. These steps comprise geophysical inversion, geostatistical Kriging, application of statistical information concepts, implementation of a square root information smoother, and application of likelihood techniques.

Abstract translation: 数据融合工作站提供了一种通过数字地将传感器相互集成来实现地球物理和遥感的全部潜力的装置和方法。 来自多个传感器类型中的每一个的传感器数据通过公共站点模型在数学上相互关联，以产生具有量化精度的融合图像。 使用伪数据的概念，传感器数据中的信息等同于统计相关模型中的数据，允许在数据反转步骤期间将模型信息与传感器数据融合。 数据融合的过程包括由递归/分布式/并行架构平台中的各种微处理器执行的几个处理步骤。 这些步骤包括地球物理反演，地统计克里金，统计信息概念的应用，平方根信息平滑的实现以及可能性技术的应用。