Abstract: Various embodiments relate to a method, apparatus, and non-tangible machine-readable storage medium including one or more of the following: displaying a first visualization of a schema; receiving a schema component; displaying a second visualization of the schema component; and displaying relationships between the first schema component and the second schema component.

Abstract: After installation, a device may be not yet powered. It may be awakened by receiving a flash of light of sufficient frequency and amplitude. After waking, the device decodes the message to determine its next action, and, upon request sends an authentication message. This enables a single user action to wake the device up and set it up with networking credentials. The same process may be used to wake the device outside of a normal sleep-wake cycle.

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: A building controller with wiring terminals that has a moveable interactive screen is disclosed. The moveable interactive screen, when closed, covers the housing that holds the wiring terminals. The specific devices attached to specific terminals and the state of the devices can be displayed on the closed moveable interactive screen. Using the moveable interactive screen, a user can set up the expected devices and their protocols that will be attached to specific wiring terminals within the building controller. The controller wiring terminals can be viewed along with an interactive diagram of the the devices and the terminals that have been set up for the building controller can be viewed simultaneously when the moveable interactive screen is in the open position.

Abstract: Various embodiments relate to a method, apparatus, and machine-readable storage medium including one or more of the following: using a resource intensive algorithm to answer a first question of a question type; generating at least one training example from the normal operation of the resource intensive algorithm; training a lightweight machine learning model based on the at least one training example to produce answers to questions of the question type; and using the lightweight machine learning model to produce an answer to a second question of the question type.

Abstract: A building controller with wiring terminals that has a moveable interactive screen is disclosed. The moveable interactive screen, when closed, covers the housing that holds the wiring terminals. The specific devices attached to specific terminals and the state of the devices can be displayed on the closed moveable interactive screen. Using the moveable interactive screen, a user can set up the expected devices and their protocols that will be attached to specific wiring terminals within the building controller. The controller wiring terminals can be viewed along with an interactive diagram of the devices and the terminals that have been set up for the building controller can be viewed simultaneously when the moveable interactive screen is in the open position.

Abstract: A module is described which is slidably attachable to a controller. Resource wires are connected to the module through resource connectors. The module has a circuit board that can perform actions. The module can modify the function of its resource connectors. These modifications may be to meet the requirements of resources that are to be connected to the module. The module may be able to register, by means of a signal, when a correct resource wire is attached to the module. The results of such monitoring may be displayed on a screen associated with the controller.

Abstract: Tools and techniques are described to create an interface that can translate a device language into an internal language, and describe the device to the controller in terms of actors and quanta such that when a device is attached to a controller, the controller can understand what the device does and why it does it. This internal language can then be translated back to a natural language, such as English. This allows the controller to track errors, determine what upstream or downstream device and action of the device caused the error, and to track many different facts of the system that allow for detailed reports.

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: Tools and techniques are described to automate line testing when wiring devices (such as equipment and sensors) to controllers. Controllers have access to databases of the devices that are controlled by them, including wiring diagrams and protocols, such that the controller can automatically check that each wire responds correctly to stimulus from the controller. After testing, a reporting device rapidly shows the results of the line testing.

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: A controller is described that a building design can be input into, the building design comprising inputting a layout, predefined resources and positions for resources. within the layout. The resources may have a predefined physics nature that includes physics equations, allowable inputs and outputs, etc. The system then can determine how many controllers are needed of what type, and create a guided wiring system. In some implementations a user can control certain aspects of the wiring system, such as how full the individual controllers are and how much money is to be spent on labor versus money spent on equipment.

Abstract: Tools and techniques are described to automate commissioning of physical spaces. Controllers have access to databases of the devices that are controlled by them, including wiring diagrams and protocols, such that the controller can automatically check that each wire responds correctly to stimulus from the controller. Controllers also have access to databases of the physical space such that they can check that sensors in the space record the correct information for device activity, and sensors can cross-check each other for consistency. Once a physical space is commissioned, incentives can be sought based on commissioning results.

Abstract: Various embodiments relate to a method, controller, and machine-readable storage medium for verifying controlled devices attached to the controller including one or more of the following: selecting, using a system model that models a system of devices comprising the controlled devices attached to the controller, a grouping of the system of devices to be tested; conducting a test of the grouping to produce a test result for the grouping, wherein conducting the test comprises transmitting a communication to at least one device associated with the grouping; choosing a graphical representation of a portion of the system model from a plurality of graphical representations based on the graphical representation including a representation of the grouping; and displaying, on a user interface, the graphical representation and an indication of the test result.

Abstract: A structure thermodynamic model, which models the physical characteristics of a controlled space, inputs a constraint state curve which gives constraints, such as temperature, that a controlled space is to meet; and outputs a state injection time series which is the amount of state needed for the controlled space to optimize the constraint state curve. The state injection time series curve is then used as input into an equipment model, which models equipment behavior in the controlled space. The equipment model outputs equipment control actions per control time (a control sequence) which can be used to control the equipment in the controlled space. Some embodiments train the models using training data.

Abstract: Various embodiments relate to a method, apparatus, and machine-readable storage medium including one or more of the following: identifying a chunk of computer code from a larger process to be executed as a distributed computation; creating a job request specifying the chunk of computer code and data on which the chunk of computer code is to operate; selecting a device from a plurality of devices to process the job request; transmitting the job request to the selected device; receiving a job result from the selected device; continuing the larger process based on the job result.

Abstract: A structure thermodynamic model, which models the physical characteristics of a controlled space, inputs a constraint state curve which gives constraints, such as temperature, that a controlled space is to meet; and outputs a state injection time series which is the amount of state needed for the controlled space to optimize the constraint state curve. The state injection time series curve is then used as input into an equipment model, which models equipment behavior in the controlled space. The equipment model outputs equipment control actions per control time (a control sequence) which can be used to control the equipment in the controlled space. Some embodiments train the models using training data.

Abstract: Tools and techniques are described to automate line testing when wiring devices (such as equipment and sensors) to controllers. Controllers have access to databases of the devices that are controlled by them, including wiring diagrams and protocols, such that the controller can automatically check that each wire responds correctly to stimulus from the controller. After testing, a reporting device rapidly shows the results of the line testing.

Abstract: Various embodiments described herein relate to a method, device, and non-transitory machine-readable storage medium for controlling a system having a plurality of devices including one or more of the following: calculating a demand curve for a controlled space representing at least one target amount of state for delivery to the controlled space; creating a cost function that compares the demand curve to simulated state curves produced by a model of the controlled system based on respective sets of control actions issuable to the plurality of controlled devices; performing an optimization method that tunes a candidate set of control actions to reduce a cost output by the cost function based on the candidate set of control actions; and issuing control actions of the candidate set of control actions to respective ones of the plurality of controlled devices to cause the controlled system to deliver state to the controlled space.

Abstract: A model receives a target demand curve as an input and outputs an optimized control sequence that allows equipment within a physical space to be run optimally. A thermodynamic model is created that represents equipment within the physical space, with the equipment being laid out as nodes within the model according to the equipment flow in the physical space. The equipment activation functions comprise equations that mimic equipment operation. Values flow between the nodes similarly to how states flow between the actual equipment. The model is run such that a control sequence is used as input into the neural network; the neural network outputs a demand curve which is then checked against the target demand curve. Machine learning methods are then used to determine a new control sequence. The model is run until a goal state is reached.