Abstract: Described herein is a system and method of processing data of a digital twins object model. Data associated with a node of the digital twins object model is parsed to identify metadata associated with the node. The data can comprise telemetry data received from an IoT device associated with the node. User-defined function(s) are determined that match the identified metadata. The data and metadata can be provided to the user-defined function(s). The determined user-defined function(s) are executed. Also described herein is a method of creating a user-defined function for processing data of a digital twins object model. Information regarding business logic is received from a user defining a user-defined function. Information regarding telemetry condition(s) to which the user-defined function applies is received defining a matcher. The user-defined function and matcher are stored as objects within a spatial intelligence graph associated with the digital twins object model.

Abstract: Embodiments relate to supplementing a mixed reality system with information from a space model. The space model is a hierarchical or tree model of a physical space, where nodes represent physical places in the physical space and a parent-child relationship between nodes in the tree indicates a physical containment relationship for physical places represented by the nodes. The space model models containment relationships (e.g., building-floor-room) and does not necessarily include a two or three dimensional map of the physical place. Some of the nodes of the space model include representations of sensors and store measures therefrom. The mixed reality system includes a three-dimensional model possibly modeling part of the physical space. The mixed reality system renders views of the three-dimensional model according to the sensor measures stored in the representations.

Abstract: Embodiments relate to supplementing a mixed reality system with information from a space model. The space model is a hierarchical or tree model of a physical space, where nodes represent physical places in the physical space and a parent-child relationship between nodes in the tree indicates a physical containment relationship for physical places represented by the nodes. The space model models containment relationships (e.g., building-floor-room) and does not necessarily include a two or three dimensional map of the physical place. Some of the nodes of the space model include representations of sensors and store measures therefrom. The mixed reality system includes a three-dimensional model possibly modeling part of the physical space. The mixed reality system renders views of the three-dimensional model according to the sensor measures stored in the representations.

Abstract: Described herein is a system and method of processing data of a digital twins object model. Data associated with a node of the digital twins object model is parsed to identify metadata associated with the node. The data can comprise telemetry data received from an IoT device associated with the node. User-defined function(s) are determined that match the identified metadata. The data and metadata can be provided to the user-defined function(s). The determined user-defined function(s) are executed. Also described herein is a method of creating a user-defined function for processing data of a digital twins object model. Information regarding business logic is received from a user defining a user-defined function. Information regarding telemetry condition(s) to which the user-defined function applies is received defining a matcher. The user-defined function and matcher are stored as objects within a spatial intelligence graph associated with the digital twins object model.