Abstract: 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.

Abstract: A meeting insight computing system includes a meeting evaluation machine configured to collect quality parameters from meeting quality monitoring devices. The quality parameters each quantify meeting conditions during one or more previously-elapsed meetings and are usable to determine an overall quality score for each of the one or more previously-elapsed meetings. A graphical scheduling interface is configured to facilitate scheduling of an upcoming meeting at a designated meeting time, in a meeting location, and with one or more meeting participants. An insight generation machine is configured to report a meeting insight via the graphical scheduling interface. The meeting insight is based on the meeting time, the meeting location, the one or more meeting participants, and the quality parameters, and includes a recommendation to change one or more of the meeting time, meeting location, and meeting participants to improve a quality score of the upcoming meeting.

Abstract: 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.

Abstract: Controlling environmental conditions. A method includes using one or more sensors in a location, identifying an entity in the location. The method further includes identifying one or more roles for the entity. The method further includes based on the one or more roles for the entity, modifying environmental conditions in the location, by modifying one or more devices associated with the location.

Abstract: 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.

Abstract: 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.

Abstract: Controlling environmental conditions. A method includes using one or more sensors in a location, identifying an entity in the location. The method further includes identifying one or more roles for the entity. The method further includes based on the one or more roles for the entity, modifying environmental conditions in the location, by modifying one or more devices associated with the location.

Abstract: A meeting insight computing system includes a meeting evaluation machine configured to collect quality parameters from meeting quality monitoring devices. The quality parameters each quantify meeting conditions during one or more previously-elapsed meetings and are usable to determine an overall quality score for each of the one or more previously-elapsed meetings. A graphical scheduling interface is configured to facilitate scheduling of an upcoming meeting at a designated meeting time, in a meeting location, and with one or more meeting participants. An insight generation machine is configured to report a meeting insight via the graphical scheduling interface. The meeting insight is based on the meeting time, the meeting location, the one or more meeting participants, and the quality parameters, and includes a recommendation to change one or more of the meeting time, meeting location, and meeting participants to improve a quality score of the upcoming meeting.

Abstract: 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.

Abstract: A method is disclosed for generating a digital twin of a physical environment. Depth data for the physical environment is received from a depth sensing device. A three-dimensional map of the physical environment is then generated based at least on the received depth data, and a digital twin of the physical environment is then generated based on the generated three-dimensional map. Information is received regarding the location of one or more networked devices within the generated three-dimensional map. Each of the one or more networked devices is associated with a digital twin of the networked device. Coordinate locations are established in the generated three-dimensional map for each networked device. Each established coordinate location is associated with a device identity.

Abstract: A meeting insight computing system includes a meeting evaluation machine configured to collect quality parameters from meeting quality monitoring devices. The quality parameters each quantify meeting conditions during one or more previously-elapsed meetings and are usable to determine an overall quality score for each of the one or more previously-elapsed meetings. A graphical scheduling interface is configured to facilitate scheduling of an upcoming meeting at a designated meeting time, in a meeting location, and with one or more meeting participants. An insight generation machine is configured to report a meeting insight via the graphical scheduling interface. The meeting insight is based on the meeting time, the meeting location, the one or more meeting participants, and the quality parameters, and includes a recommendation to change one or more of the meeting time, meeting location, and meeting participants to improve a quality score of the upcoming meeting.

Abstract: 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.

Abstract: 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.

Abstract: Controlling environmental conditions. A method includes using one or more sensors in a location, identifying an entity in the location. The method further includes identifying one or more roles for the entity. The method further includes based on the one or more roles for the entity, modifying environmental conditions in the location, by modifying one or more devices associated with the location.

Abstract: A computing system includes a physical space monitoring interface configured to receive status parameters from a plurality of physical space monitors, each of the physical space monitors configured to report a status parameter for one more locations, devices, or people associated with a physical space. An efficiency analysis machine analyzes the status parameters to determine at least one usage efficiency metric for the physical space and at least one physical space efficiency insight. An analytics interface graphically displays the usage efficiency metric and the physical space efficiency insight, the physical space efficiency insight including a recommendation to change a physical space usage policy affecting one or more locations, devices, or people associated with the physical space to improve the usage efficiency metric.

Abstract: Dynamically scheduling spaces for one or more users may include accessing one or more sensors and/or services configured to monitor a plurality of physical spaces to obtain sensor data corresponding to each of the physical spaces of the plurality of physical spaces. User data associated with one or more users may also be accessed. Accessing the user data associated with the one or more users may include identifying one or more characteristics of the one or more users and/or a context of a meeting. Based on the sensor data and the user data, a physical space of the plurality of physical spaces may be correlated to the one or more users. A notification may also be sent to at least one of the one or more users that identifies the correlation between the physical space and the one or more users.

Abstract: 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.

Abstract: A meeting insight computing system includes a meeting evaluation machine configured to collect quality parameters from meeting quality monitoring devices. The quality parameters each quantify meeting conditions during one or more previously-elapsed meetings and are usable to determine an overall quality score for each of the one or more previously-elapsed meetings. A graphical scheduling interface is configured to facilitate scheduling of an upcoming meeting at a designated meeting time, in a meeting location, and with one or more meeting participants. An insight generation machine is configured to report a meeting insight via the graphical scheduling interface. The meeting insight is based on the meeting time, the meeting location, the one or more meeting participants, and the quality parameters, and includes a recommendation to change one or more of the meeting time, meeting location, and meeting participants to improve a quality score of the upcoming meeting.

Abstract: 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.