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    • 4. 发明申请
    • FUEL MANAGEMENT SYSTEM
    • 燃油管理系统
    • US20100076672A1
    • 2010-03-25
    • US12564345
    • 2009-09-22
    • Joerg Cremers
    • Joerg Cremers
    • G06G7/72G06F17/10
    • G06Q10/04
    • A computer implemented fuel management method and system for monitoring and minimizing a fuel consumption of an aircraft. The fuel management system and method determines, on the basis of model assumptions, a theoretical value relating to the quantity of fuel that is necessary for travelling along at least one sector of a flight route. Furthermore, the fuel management system and method determine a practical value relating to a quantity of fuel that is necessary for travelling along the same sector of the flight route, taking into account actual measured values. Moreover, the system and method compare the theoretical value with the practical value and to provide at least one measure in order to save fuel during a flight when the practical value differs from the theoretical value by a predeterminable amount.
    • 计算机实施燃料管理方法和系统,用于监测和最小化飞行器的燃料消耗。 燃料管理系统和方法根据模型假设确定与沿着至少一个飞行路线行驶的行驶所需的燃料量相关的理论值。 此外,燃料管理系统和方法考虑到实际测量值,确定与沿着飞行路线的相同部分行驶所需的燃料量相关的实际值。 此外,该系统和方法将理论值与实际值进行比较,并且当实际值与理论值以预定量不同时,提供至少一种措施以在飞行中节省燃料。
    • 5. 发明申请
    • Method, Apparatus And Computer Program Product For Predicting And Avoiding A Fault
    • 用于预测和避免故障的方法,设备和计算机程序产品
    • US20090228160A1
    • 2009-09-10
    • US12045388
    • 2008-03-10
    • Neil H. EklundXiao Hu
    • Neil H. EklundXiao Hu
    • G06F17/00G06G7/48G06G7/72G06F15/18
    • G06F11/008
    • A method, apparatus and computer program product are provided to not only predict an impending fault, but also to avoid the occurrence of the fault such that continued operations are permitted with a reduced likelihood of the occurrence of the fault. In this regard, a plurality of features are provided to at least one model, such as a random forest classification model. The plurality of features include features representative of at least one prior operational sequence as well as features representative of at least one upcoming operational sequence. The plurality of features are then processed with at least one model to determine a likelihood of a fault during the upcoming operational sequence. The method also alters the characteristics of the upcoming operational sequence without requiring maintenance of the equipment to thereby permit the upcoming operational sequence to be conducted with a reduced likelihood of the fault.
    • 提供了一种方法,装置和计算机程序产品,用于不仅可以预测即将发生的故障,而且可以避免故障的发生,从而允许以故障发生的可能性降低的持续操作。 在这方面,向诸如随机森林分类模型的至少一个模型提供多个特征。 多个特征包括表示至少一个先前操作序列的特征以及表示至少一个即将到来的操作序列的特征。 然后利用至少一个模型处理多个特征以确定在即将到来的操作序列期间故障的可能性。 该方法还改变即将到来的操作序列的特征,而不需要维护设备,从而允许以较低的故障可能性来进行即将到来的操作顺序。
    • 8. 发明申请
    • GENERATING A SIMULATED FLUID FLOW OVER AN AIRCRAFT SURFACE USING ANISOTROPIC DIFFUSION
    • 使用平均渗透率在飞机表面产生模拟的流体流
    • US20120232860A1
    • 2012-09-13
    • US13046469
    • 2011-03-11
    • David L. RODRIGUEZPeter STURDZA
    • David L. RODRIGUEZPeter STURDZA
    • G06G7/57G06G7/72G06F17/10
    • G06F17/5018G06F17/5095G06F2217/16G06F2217/46
    • A fluid-flow simulation over a computer-generated aircraft surface is generated using a diffusion technique. The surface is comprised of a surface mesh of polygons. A boundary-layer fluid property is obtained for a subset of the polygons of the surface mesh. A pressure-gradient vector is determined for a selected polygon, the selected polygon belonging to the surface mesh but not one of the subset of polygons. A maximum and minimum diffusion rate is determined along directions determined using a pressure gradient vector corresponding to the selected polygon. A diffusion-path vector is defined between a point in the selected polygon and a neighboring point in a neighboring polygon. An updated fluid property is determined for the selected polygon using a variable diffusion rate, the variable diffusion rate based on the minimum diffusion rate, maximum diffusion rate, and angular difference between the diffusion-path vector and the pressure-gradient vector.
    • 使用扩散技术生成计算机生成的飞机表面上的流体流动模拟。 该表面由多边形的表面网格构成。 对于表面网格的多边形的子集获得边界层流体特性。 为选定的多边形确定压力梯度向量,所选择的多边形属于表面网格而不是多边形子集中的一个。 沿着与所选多边形相对应的压力梯度矢量确定的方向确定最大和最小扩散速率。 在所选多边形中的点与相邻多边形中的相邻点之间定义扩散路径向量。 使用可变扩散速率,基于最小扩散速率的可变扩散速率,最大扩散速率和扩散路径矢量与压力梯度矢量之间的角度差来确定所选择的多边形的更新的流体属性。