Abstract: A device that runs on solar and battery power determines a current cycle energy budget by looking at a previous cycle or cycles energy accumulation and previous cycle or cycles unexpected expenses. The energy budget will then be the energy accumulation minus the unexpected expenses, normalized for cycle length. Based on the energy budget, an operating mode is chosen. The operating mode determines how often certain actions are taken. The device then runs for a cycle length based of the operating mode.

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: During capture of a three dimensional mesh of an environment, a combination of user inputs and machine learning is used to place annotations within the three dimensional mesh environment interactively. When the full mesh is assembled, the annotations are used to detect which portions of the three-dimensional mesh make up the features of interest. Additional features can be derived from these results, such as a 2D image of a floor plan.

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 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: 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: 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.