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    • 1. 发明申请
    • Asset Identity Resolution Via Automatic Model Mapping Between Systems With Spatial Data
    • 资产身份解析通过空间数据系统之间的自动模型映射
    • US20130159351A1
    • 2013-06-20
    • US13325758
    • 2011-12-14
    • Hendrik F. HamannJeffrey Owen KephartJonathan LenchnerPeini LiuBo Yang
    • Hendrik F. HamannJeffrey Owen KephartJonathan LenchnerPeini LiuBo Yang
    • G06F17/30
    • G06Q10/087
    • Techniques for mapping between data models where objects represented in the data models include common physical objects or assets are provided. In one aspect, a method for mapping between data models, each of which describes a location of objects in a physical area includes the following steps. Common attributes are found in each of the data models. Location attributes are found among the common attributes in each of the data models, i.e., those attributes that describe the location of the objects in the physical area. The location attributes are used to identify a given one of the objects common to each of the data models, based on a placement of the given object by the data models at a same location (at a same time) in the physical area to establish a common identity of the object within the models. Attributes other than location attributes may then be mapped.
    • 提供数据模型之间的映射技术,其中数据模型中表示的对象包括公共物理对象或资产。 在一个方面,一种用于在数据模型之间映射的方法,每个数据模型描述物理区域中的对象的位置包括以下步骤。 在每个数据模型中都有公共属性。 在每个数据模型中的公共属性之间找到位置属性,即描述物理区域中的对象位置的那些属性。 位置属性用于基于在物理区域中的相同位置(同时)处的数据模型的给定对象的位置来识别每个数据模型共同的给定对象之一,以建立 模型中对象的共同身份。 然后可以映射除位置属性之外的属性。
    • 6. 发明授权
    • Location of computing assets within an organization
    • 计算资产在组织内的位置
    • US09170960B2
    • 2015-10-27
    • US13540122
    • 2012-07-02
    • Rajarshi DasMetin FeridunCanturk IsciJonathan LenchnerSuzanne K. McIntoshMichael E. NiddAxel TannerBo Yang
    • Rajarshi DasMetin FeridunCanturk IsciJonathan LenchnerSuzanne K. McIntoshMichael E. NiddAxel TannerBo Yang
    • G06F17/00G06F13/14
    • G06F13/14H05K7/1498
    • Mechanisms are provided for determining the location of computing assets within an organization. These mechanisms determine first location information identifying a location of at least one first physical asset housing in a predetermined physical area of the organization relative to a predetermined coordinate system, and second location information identifying a location of at least one second physical asset housing within the at least one first asset housing. The mechanisms automatically determine third location information identifying a location of at least one computing asset within the at least one second physical asset housing. In addition, the mechanisms generate an asset location map data structure for the organization based on the first, second and third location information. The mechanisms also perform at least one management operation for managing resources of the organization, based on the asset location map data structure for the organization.
    • 提供了确定组织内计算资产位置的机制。 这些机制确定第一位置信息,其识别相对于预定坐标系的组织的预定物理区域中的至少一个第一物理资产外壳的位置,以及第二位置信息,其识别在该位置内的至少一个第二物理资产外壳的位置 至少一个第一资产房屋。 所述机构自动地确定识别所述至少一个第二物理资产外壳内的至少一个计算资产的位置的第三位置信息。 另外,这些机制基于第一,第二和第三位置信息为组织生成资产位置图数据结构。 基于组织的资产位置图数据结构,这些机制还执行用于管理组织的资源的至少一个管理操作。