Abstract: When given an incorrect polygonal representation of a floor plan, methods and systems described herein may be able to more accurately delineate the floorplan by optimizing between a function that determines how far in a solution vertices in the polygonal representation have moved and a function that determines how aligned the polygonal representation is.

Abstract: A neural network in one embodiment is built by decomposing a structure into different building materials creating neurons that represent building materials and open spaces in a structure. Subsystems in the building have their neurons concatenated together to create same length neuron strings. In some embodiments, neurons in a short neuron string are split to make longer neuron strings. In some embodiments, neurons are added to some neuron strings to represent inside features, air features, and outside features.

Abstract: Various embodiments described herein relate to a test chamber device an associated methods and non-transitory machine-readable media including a test chamber, a system builder that is configured to build and apply an equipment load to the test chamber; a load maker that is configured to build and apply a predefined load to the test chamber; and a tester which measures action of the equipment load and the predefined load within the test chamber, producing a test state.

Abstract: Using processes and methods described herein, a digital twin of a physical space can train itself using sensors and other information available from the building. In some embodiments, a system to be controlled comprises a controller that is connected to sensors. This controller also has a thermodynamic model of the system to be controlled. The thermodynamic model has neurons that represent a thermodynamically coherent section of a building, such as a window. The neurons represent these portions of the controlled space using parameter values and equations that model physical behavior. A machine learning process refines the thermodynamic model by modifying the parameter values of the neurons, using sensor data gathered from the system as behavior to be matched by the thermodynamic model. The thermodynamic model may be warmed up by running the model using state data as input.

Abstract: Tools and techniques are described to automate creation of point mapping diagrams between controllers and controlled resources. After receiving a defined space diagram (which may be input using a graphical interface of the controller, or by other means), resource locations and resource wiring requirements (which may be done automatically), a wiring diagram including point mapping between the resources and any necessary controllers is generated. If resources need to be moved, a new wiring diagram and/or point mapping can be regenerated.

Abstract: Various embodiments relate to an apparatus for flexible element management including a first element; a second element, wherein the second element is movable relative to the first element; a flexible element extending between the first element and the second element; and a tensioning element in contact with the flexible element. Various embodiments disclose an apparatus for flexible element management that may be incorporated in sliding, hinging, and various other movement patterns. Various embodiments disclose an apparatus for management of electrical wiring between two elements, which may include, but are not limited to, a display screen and a housing for electrical components, a memory compartment and a computer, and a power supply and a computer.

Abstract: A neural network in one embodiment is built by decomposing a structure into different building materials creating neurons that represent building materials and open spaces in a structure. Subsystems in the building have their neurons concatenated together to create same length neuron strings. In some embodiments, neurons in a short neuron string are split to make longer neuron strings. In some embodiments, neurons are added to some neuron strings to represent inside features, air features, and outside features.

Abstract: Apparatuses, methods, program products, and systems are disclosed for techniques for ontology query construction. An apparatus includes a processor and a memory that stores code that is executable by the processor. The code is executable by the processor to receive a starting model associated with a graph schema defining a graph, receive an ending model associated with the graph schema, determine an optimal path through the graph schema from the starting model to the ending model, and construct a query for querying the graph based on the determined optimal path.

Abstract: Using processes and methods described herein, a digital twin of a physical space can train itself using sensors and other information available from the building. In some embodiments, a system to be controlled comprises a controller that is connected to sensors. This controller also has a thermodynamic model of the system to be controlled within memory associated with the controller. The thermodynamic model has neurons that represent distinct pieces of a controlled space, such as a piece of equipment or a thermodynamically coherent section of a building, such as a window. The neurons represent these distinct pieces of the controlled space using parameter values and equations that model physical behavior of state with reference to the distinct piece of the controlled state. A machine learning process refines the thermodynamic model by modifying the parameter values of the neurons, using sensor data gathered from the system to be controlled as ground truth to be matched by behavior of the thermodynamic model.

Abstract: Various embodiments described herein relate to a method, apparatus, and a non-transitory machine-readable storage medium including one or more of the following: receiving a message that a sub-channel is available; receiving a message comprising N, H, a sub-channel duration and a sync sub-channel number; determining sync up channel number or down channel number using N, H, and sub-channel number; determining sync EMG using N, H, and sub-channel duration; sending a message to the sync down channel EMG indicating that the sensor device requests to be a child of the sub-channel; and receiving a response during the synch.

Abstract: Various embodiments relate to a method, apparatus, and machine-readable storage medium including one or more of the following: receiving, from a user, a command to tag an object currently in view of a camera and located within a physical space; in response to the command, determining a distance from a location of the camera to a location of the object; determining the location of the object based on the determined distance; storing the location of the object and a label together as a tag in a digital twin representing the physical space; displaying a representation of the physical space; and displaying an indicator of the tag at a location in the representation of the physical space corresponding to the location of the object.

Abstract: Tools and techniques are described to attach a device to a controller, whereby the controller analyzes the device inputs, looks up information about the device in a database, and then determines which inputs on the device match the defined device inputs. It then may translate information received from the device into an intermediate language. It may also use the information received from the device, the location of the device, and information about the device to create a digital twin of the device.

Abstract: Various embodiments relate to a method, apparatus, and machine-readable storage medium including one or more of the following: associating a first floorplan image with a first surface in a three-dimensional scene; associating a second floorplan image with a second surface in the three-dimensional scene, wherein the first surface and second surface are vertically-aligned; rendering a stacked floorplan image of the three-dimensional scene, whereby the stacked floorplan image includes image data read from both the first floorplan image and the second floorplan image; and displaying the stacked floorplan image on the user interface.

Abstract: Displaying, on a screen of a mobile device having a camera, a real-time image from the camera; displaying, on the screen, feedback indicating positioning of a second device captured in the real-time image; determining that the positioning of the mobile device relative to the second device is sufficient to trigger an action on the second device; and triggering the action on the second device using the mobile device.