Microsoft Technology Licensing, LLC

Amazon Technologies, Inc.

Grégory Christopher John Vandenbrouck

Matthew Evan Vogel

Fernando Nahuel Viton

Hubert Van Hoof

David John Brennan

Andres Carlo Petralli

Alina Mihaela Stanciu

Daniel Escapa

Quentin N Robinson

Stefan Krzysztof Gawrys

Joseph S Kramer

Kyle Kraeger Getty

Patrick James Gorman

Yurui Zhou

Mark Gilbert

Zachary Douglas Bears

Systems and methods described herein provide for novel configuration features for setting up a user device automatically to connect to a network and register the user device to a user account. A mapping of user devices to cryptographic keys for the user devices may be maintained by a computer system. The computer system may receive information that specifies network information and user account information for a particular user device. A mapping of the network information and user account information to the particular user device may be generated. A machine-readable code that includes the network information for connecting the particular user device to the network and a token that includes credentials for the user account information may be generated and transmitted to a assistant configuration device.

Systems and methods for automatically configuring computer devices

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.

Individualized telemetry processing leveraging digital twins property(ies) and topological metadata

A map file includes two-dimensional or three-dimensional geometric data items collectively representing layout of a building. The map file is parsed and the geometric data items are analyzed to identify building elements including rooms, floors, and objects of the building, and to identify containment relationships between the elements. A space model having a space graph is constructed. The space graph includes nodes that correspond to the respective building elements and links forming relationships between nodes that correspond to the identified containment relationships. Each node may include node metadata, rules or code that operate on the metadata, and a node type that corresponds to a type of physical space. Some nodes may include user representations or device representations that represent physical sensors associated therewith. The representations may receive data from the respectively represented sensors, and the sensor data becomes available via the space model.

Generating space models from map files

Configuring a device. A method includes identifying that a device has been connected to a control network. The method further includes, as a result, identifying characteristics of the device, including identifying at least one control or sensor coupled to the device. The method further includes, as a result, identifying an existing configuration template that applies to the device as identified, including identified characteristics. The method further includes configuring the device using the configuration template.

Device model templates

Generating property keys associated with nodes of a hierarchical graph that defines a topology of a physical space and that is configured to provide user data and sensor data from devices within a physical space. A first property key associated with a first node of the plurality of nodes within the hierarchical graph is received and stored in a property store in association with a first path of the first node. In response to receiving a request associated with determining each property key available to a second node that is a child node of the first node, the first property key is identified as being available to the second node by virtue of the second node being a child node of the first node. The first property key is updated in the property store to also be associated with the second path of the second node.

Methods and systems for generating property keys corresponding to physical spaces, devices, and/or users

Generating a map based on nodes of a hierarchical graph that defines a topology of a physical space and is configured to provide access to sensor data from devices within the physical space includes accessing the hierarchical graph. The hierarchical graph comprises a plurality of nodes, including a top node for the physical space and a plurality of other nodes coupled to the top node. One of the plurality of nodes comprises an area node that represents an area within the physical space. One of the plurality of nodes also comprises a device node representing a device located within the physical space and a user node. Map data corresponding to a particular node is generated. The generated map data is associated with generating at least a portion of a map corresponding to the particular node. The generated map data corresponding to the particular node is stored within the hierarchical graph.

Methods and systems for generating maps corresponding to physical spaces, devices, and/or users

A map file includes two-dimensional or three-dimensional geometric data items collectively representing layout of a building. The map file and parsed and the geometric data items analyzed to identify building elements including rooms, floors, and objects of the building, and to identify containment relationships between the elements. A space model having a space graph is constructed. The space graph includes nodes that correspond to the respective building elements and links forming relationships between nodes that correspond to the identified containment relationships. Each node may include node metadata, rules or code that operate on the metadata, and a node type that corresponds to a type of physical space. Some nodes may include user representations or device representations that represent physical sensors associated therewith. The representations may receive data from the respectively represented sensors, and the sensor data becomes available via the space model.

Isolating resources between sub-entities. A method includes receiving data from a particular connected device. A memory storing a hierarchical graph that defines a topology for an entity is accessed. Branches or leaves in the graph include a node that represents a connected device, such as a sensor, controller, or computing system. Each connected device is configured to provide data or receive control signals. Each of the branches or leaves can be indicated as belonging to a particular sub-entity. A particular branch from the hierarchical graph having the particular connected device is identified using the graph. A sub-entity to which the particular branch belongs is identified. The method identifies that the particular sub-entity should be isolated from other sub entities. The data from the particular connected device is provided to a set of resources specifically allocated for the particular sub-entity.

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Bellevue, WA, United States of America

Grégory Christopher John Vandenbrouck