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    • 92. 发明授权
    • Automatic-extending and anti-rotation scoliosis correcting system
    • 自动延伸和抗旋转脊柱侧弯矫正系统
    • US09301784B2
    • 2016-04-05
    • US13576207
    • 2011-01-28
    • Sheng ZhaoXiaochun WeiKai Li
    • Sheng ZhaoXiaochun WeiKai Li
    • A61B17/70
    • A61B17/7025A61B17/7004A61B17/701A61B17/7011A61B17/705
    • A spontaneous-extending and anti-rotation scoliosis correcting system comprises pedicle screws and a plurality of correcting rods locked with the pedicle screws. Each correcting rod includes at least one sleeve and at least one inserting rod which can be inserted into the sleeve. The inner wall of the sleeve and the inserting rod are the same in shape and are in clearance fit. A positioning mechanism for restricting the relative rotation of the inserting rod with respect to the sleeve is arranged on a matching surface between the inserting rod and the sleeve. The scoliosis correcting system has the benefits of ensuring the lateral stability and the anti-rotation function for scoliosis correction; having the performance of spontaneous extending along the growth direction of the spine; and ensuring both the short-term operating effect and the long-term curative effect.
    • 自发延伸和抗旋转脊柱侧凸矫正系统包括椎弓根螺钉和多个与椎弓根螺钉锁定的矫正杆。 每个校正杆包括至少一个套筒和至少一个插入套筒中的插入杆。 套筒的内壁和插入杆的形状相同,并且间隙适合。 用于限制插入杆相对于套筒的相对旋转的定位机构布置在插入杆和套筒之间的匹配表面上。 脊柱侧凸矫正系统具有确保脊柱侧凸矫正的横向稳定性和抗旋转功能的好处; 具有沿脊柱生长方向自发延伸的性能; 确保短期作业效果和长期疗效。
    • 93. 发明申请
    • Fault diagnosis and preliminary location system and method for transformer core looseness
    • 变压器铁芯松动故障诊断及初步定位系统及方法
    • US20140118003A1
    • 2014-05-01
    • US14128603
    • 2012-07-19
    • Kai ChenChunning WangHongzhong MaKai LiYiming WuYing ZhangHongtao LiuPeng GaoTaotao Chen
    • Kai ChenChunning WangHongzhong MaKai LiYiming WuYing ZhangHongtao LiuPeng GaoTaotao Chen
    • G01R31/02
    • G01R31/027G01H1/00
    • This invention publishes a fault diagnosis and location system for transformer core looseness, consists of vibration sensors, data collection and computer. It is of power transformer fault intelligent diagnosis technology technical field. Fault diagnosis and location method uses three vibration sensors positioned on the top of transformer tank, to obtain vibration signal, uses signal processing to analyze the signal, and obtains fault characteristics of the transformer core looseness. The characteristics respectively are 50 Hz, 150 Hz and 300 Hz frequency components, in which 300 Hz is main feature. When they reach a certain value at one position, it suggests that transformer core looseness near this position. By the comparison of differences among signals of three positions, fault location can be done. This invention manifests fault characteristics accurately and detects core looseness efficiently.The invention uses the electricity grid frequency of 50 Hz for example, for 60 Hz power system, above 50 Hz, 150 Hz, 300 Hz characteristic frequencies are 60 Hz, 180 Hz and 360 Hz.
    • 本发明公布了变压器磁芯松动故障诊断定位系统,由振动传感器,数据采集和计算机组成。 是电力变压器故障智能诊断技术技术领域。 故障诊断和定位方法采用位于变压器箱顶部的三个振动传感器,获得振动信号,采用信号处理分析信号,获得变压器磁芯松动的故障特征。 特性分别为50Hz,150Hz和300Hz频率分量,其中300Hz为主要特征。 当它们在一个位置达到一定值时,表明变压器芯在这个位置附近松动。 通过比较三个位置的信号之间的差异,可以进行故障定位。 本发明精确表现了故障特征,有效地检测了磁芯的松动。 本发明使用例如50Hz的电网频率,对于60Hz电力系统,高于50Hz,150Hz,300Hz特征频率为60Hz,180Hz和360Hz。
    • 96. 发明申请
    • IMAGE SPLICING METHOD AND APPARATUS
    • 图像分离方法和装置
    • US20120274739A1
    • 2012-11-01
    • US13529312
    • 2012-06-21
    • Kai Li
    • Kai Li
    • H04N5/228H04N13/02
    • H04N5/2624G06T3/0068G06T7/85G06T2207/10012G06T2207/10024G06T2207/20032G06T2207/20221
    • The present invention discloses an image splicing method and apparatus, and relates to the field of image processing technologies. In embodiments of the present invention, first, a spatial relationship parameter between two scenes is determined; a spatial relationship parameter between two cameras that photograph the two scenes respectively, and internal parameters of the two cameras are obtained; and then, an operation is performed on the spatial relationship parameter between the two scenes, the spatial relationship parameter between the cameras, and the internal parameters of the cameras to obtain a homography matrix between photographed images; and according to the homography matrix, the images photographed by the two cameras are mapped to the same coordinate system to splice the images into one image. The embodiments of the present invention are mainly applied to calculation of a homography matrix between two images, especially to calculation of a homography matrix in image splicing process.
    • 本发明公开了一种图像拼接方法和装置,涉及图像处理技术领域。 在本发明的实施例中,首先确定两个场景之间的空间关系参数; 分别拍摄两个场景的两个摄像机之间的空间关系参数,以及两个摄像机的内部参数; 然后,对两个场景之间的空间关系参数,摄像机之间的空间关系参数和摄像机的内部参数进行操作,以获得拍摄图像之间的单应性矩阵; 并且根据单应性矩阵,将通过两个照相机拍摄的图像映射到相同的坐标系以将图像拼接成一个图像。 本发明的实施例主要应用于两个图像之间的单应性矩阵的计算,特别是在图像拼接过程中计算单应性矩阵。
    • 100. 发明申请
    • Image segmentation method
    • 图像分割方法
    • US20110081062A1
    • 2011-04-07
    • US12587225
    • 2009-10-01
    • Kai LiAllen Davis MalonyDon M. Tucker
    • Kai LiAllen Davis MalonyDon M. Tucker
    • G06K9/62
    • G06T5/002G06T7/136G06T7/162G06T2207/10088G06T2207/20012G06T2207/30016
    • An image segmentation method. An image is defined by voxels representing at least two different structure types A and B, by having corresponding different intensities that may be subject to intensity inhomogeneities. A basic method comprises (a) selecting a first voxel to be classified; (b) defining criteria by which a comparison of the intensity associated with the first voxel with an intensity associated with a second voxel is to be considered to indicate that the first voxel represents structure type B assuming the second voxel represents structure type A; (c) determining a path of voxels passing through the first voxel; (d) defining a maximum distance along the path; and (e) determining whether there is a second voxel on the path, within the maximum distance of the first voxel, such that the intensities associated with the first and second voxels together satisfy the criteria, for potentially classifying the first voxel as representing structure type B.
    • 一种图像分割方法。 通过具有可能受到强度不均匀性的对应的不同强度,通过代表至少两种不同结构类型A和B的体素来定义图像。 一种基本方法包括(a)选择要分类的第一体素; (b)定义标准,通过该标准将与第一体素相关联的强度与与第二体素相关联的强度的比较视为指示第一体素表示结构类型B,假设第二体素表示结构类型A; (c)确定穿过第一体素的体素的路径; (d)沿路径定义最大距离; 以及(e)确定所述路径上是否存在在所述第一体素的最大距离内的所述路径上的第二体素,使得与所述第一和第二体素相关联的强度在一起满足所述标准,以将所述第一体素潜在地分类为表示结构类型 B.