Abstract: Prediction of a machining time at higher accuracy considering a machine delay generated in a machine is allowed by a numerical controller of the invention.

Abstract: Embodiments provided herein relate to: suggesting, automatically implementing, or both suggesting and automatically implementing, one or more household policies to be implemented within a household environment. The household policies include one or more input criteria that is derivable from at least one smart device within the household environment, the one or more input criteria relating to a characteristic of the household environment, a characteristic of one or more occupants of the household, or both. The household policies also include one or more outputs to be provided based upon the one or more input criteria.

Abstract: A numerical controller includes a division setting unit which sets division information for dividing a machining region into a plurality of areas, an area division unit which divides a machining region into a plurality of areas based on division information, a program division unit which generates divided programs respectively used for machining control in the areas, an area coordinate system setting unit which sets a virtual coordinate system in the plurality of areas, and an operation precision setting unit which sets operation precision, and performs internal operation for controlling an operation of a machine in accordance with the virtual coordinate system and the operation precision to control each axis of the machine.

Abstract: An operation management system according to the present invention stores manufacture facility information in which identification information capable of uniquely specifying a manufacture facility is associated with position information of the manufacture facility in a manufacture facility information storage unit, a management device acquires the manufacture facility information from the manufacture facility information storage unit, arranges the manufacture facility on an arrangement map based on the manufacture facility information, and conducts communication setting for acquiring operation information, and the management device acquires the operation information of the manufacture facility via communication based on the communication setting, and displays the acquired operation information on the arrangement map.

Abstract: A method may include controlling, by a computing device, a directed energy deposition material addition (DED MA) technique based at least in part on a thermal model. The thermal model may define a plurality of default operating parameters for the DED MA technique. The method also may include detecting, by at least one sensor, at least one parameter related to the DED MA technique. Further, the method may include, responsive to determining, by the computing device, that a value of the at least one detected parameter is different from an expected value of a corresponding parameter predicted by the thermal model, determining, by the computing device and using a neuro-fuzzy algorithm, an updated value for at least one operating parameter for the DED MA technique, and controlling, by the computing device, the DED MA technique based at least in part on the updated value.

Abstract: Systems and methods for monitoring, calculating, and/or optimizing engine emissions produced in operating motorized equipment in well site operations or other jobs are provided. In one embodiment, the methods comprise: providing a set of exhaust emissions rates for one or more engines at a job site as a function of a speed of each engine and total brake horsepower to be provided by each engine; identifying one or more operating speeds or transmission gears for the one or more engines during an operation at the job site based at least in part on the set of exhaust emissions rates for the one or more engines; and operating the one or more engines at the one or more operating speeds or transmission gears during an operation at the job site.

Abstract: Embodiments apply user-specific usage patterns to estimate and preserve remaining battery life on a computing device. An amount of battery drain and an execution context are determined and stored for a plurality of recurring time periods. The execution context identifies operations executed by the computing device, signal strength, and other data describing the associated time period. If one of the operations is expected to be executed during a recurrence of at least one of the time periods, the expected execution is adjusted based on execution context and an estimated remaining battery life for the computing device. For example, the computing device may postpone or reschedule the operation for a time period during which the operation is expected to have a greater likelihood of completing successfully. In some embodiments, the battery preservation operations are automatically enabled at a particular threshold.

Abstract: Embodiments of the disclosure can relate to quantification of gas turbine inlet filter blockage. In one embodiment, a method can include receiving data associated with an inlet flow conditioning system associated with a turbine in a power plant. The method may further include determining an inlet flow associated with the turbine, based at least in part on operational data from the turbine. The method may further include determining an effective area of the inlet flow conditioning system, based at least in part on the inlet flow associated with the turbine. The method can further include determining a fouling rate of the inlet flow conditioning system, based at least in part on a difference between the effective area of the inlet flow conditioning system and a corresponding effective area of the inlet flow conditioning system determined at a prior operation.

Abstract: A method for controlling an operating condition of an electric power grid, the electric power grid having an intermittent power supply coupled thereto, the method comprising: using an energy variability controller, controlling variability of a delivered power output of the intermittent power supply to the electric power grid by: monitoring an actual environmental value for a location proximate the intermittent power supply, an available power output of the intermittent power supply being dependent on the actual environmental value; when the actual environmental value is increasing and hence the available power output is increasing, increasing the delivered power output according to a predetermined rate of increase; monitoring a forecast environmental value for the location; when the forecast environmental value is decreasing, decreasing the delivered power output according to a predetermined rate of decrease; and, limiting the delivered power output to below a predetermined threshold.

Abstract: A system is provided for manufacturing a component within a factory. The system may have an autonomous vehicle configured to transport the component to an area within an open space of the factory and to secure the component at the area during processing of a designated volume of the component. The system may also have a plurality of processing modules each configured to process a portion of the component less than a whole of the designated volume, and a controller in communication with the autonomous vehicle and the plurality of processing modules. The controller may be configured to coordinate operations of the plurality of processing modules according to a programmed process plan.

Abstract: A mannequin pose control computer-implemented method, system, and computer program product, includes reading clothing data of an article of clothing on a mannequin, determining a pose for the mannequin by associating the clothing data with a record in a database that includes the pose for the mannequin, and changing a current pose of the mannequin to match the pose for the mannequin based on the record in the database.

Abstract: Systems and methods for data storage power management are described. In one embodiment, the method includes analyzing metrics collected from one or more storage devices, identifying, based at least in part on analyzing the metrics, a pattern of activity for at least one of the one or more storage devices over a predetermined period of time, generating a control model based at least in part on the identified pattern of activity, and modifying a power mode of at least one of the one or more storage devices based on the control mode. The control model indicate a first time period when at least one of the one or more storage devices is active and a second time period when at least one of the one or more storage devices is inactive.

Abstract: A method and redundant control system for an actuator in which two redundant control computers are connected via buses to a respective peripheral station containing an interface module and at least one periphery module, wherein the actuator is connected to mutually decoupled signal outputs of two periphery modules, each forming an output module, of the two peripheral stations, where output values generated by the two redundant control computers for the actuator are transmitted by the interface modules to the output modules, wherein upon detection of a bus fault, the respective interface module transmits a command to all downstream output modules to output substitute values, and where output modules to which the actuator is connected exchange information about receipt of the command via a communication link and implement it only if another output module concerned has also received the command so as to prevent failure modes in redundant operation.

Abstract: The present invention relates to systems and methods for improved building systems management and maintenance. The present invention provides a system for providing an augmented reality-like interface for the management and maintenance of building systems, specifically the mechanical, electrical, and plumbing (MEP) systems within a building, including the heating, ventilation, and air-conditioning (HVAC) systems.

Abstract: The present invention provides a method for monitoring and controlling power consumption at plurality endpoints. The method comprises, receiving raw data from plurality of endpoints, processing the raw data received from the plurality of the endpoints, communicating the processed data to a database using one or more protocols, interpreting the processed data into one or more events, measuring the power consumed by the plurality of the endpoints using the interpreted data; and controlling the power consumption of the plurality of the endpoints using one or more applications.

Abstract: One aspect of the technology relates to a method for production of components of a custom structure. A design is electronically received remotely from a client, where the design has a structure having one or more three-dimensional components, and a graphic positioned on the structure. At least one two-dimensional manufacturing drawing is acquired from a database corresponding to each three-dimensional component, where each manufacturing drawing defines a cut location. In response to acquiring the at least one two-dimensional manufacturing drawings, the graphic is mapped to the two-dimensional manufacturing drawing consistently with the position of the graphic on the structure. Each acquired manufacturing drawing and the mapped graphic is electronically sent to a computer numeric control (CNC) cutting system.

Abstract: A method operates a production plant, the method having process modules, wherein, for each process module, the amount of material that is respectively present in this process module and is to be processed by this process module is continuously or discretely detected and compared with a prescribed limit value for the amount, wherein a mass inflow into the respective process module is increased or decreased if the amount of material that is respectively present in this process module and is to be processed by this process module is less than or greater than the limit value for the amount, or a mass outflow from the respective process module is increased or decreased if the amount of material that is respectively present in this process module and is to be processed by this process module is greater than or less than the limit value for the amount.

Abstract: In one embodiment, the present invention includes a processor having a core and a power controller to control power management features of the processor. The power controller can receive an energy performance bias (EPB) value from the core and access a power-performance tuning table based on the value. Using information from the table, at least one setting of a power management feature can be updated. Other embodiments are described and claimed.

Abstract: The present disclosure provides a frequency control method for a micro-grid and a control device. The method includes: determining a middle parameter at iteration k; determining a local gradient parameter at iteration k according to the cost increment rate at iteration k, the frequency difference between iterations k and k+1, and communication coefficients; performing a quasi-Newton recursion according to the middle parameter and local gradient parameter to acquire a recursion value; determining the cost increment rate at iteration k+1 according to the recursion value; determining an adjustment value of an active power according to the cost increment rate at iteration k+1; adjusting the active power according to the adjustment value if the adjustment value satisfies a constraint condition and judging whether the difference is smaller than a predetermined threshold; executing k=k+1 if yes and stopping the frequency control if no.

Abstract: A method for automatically updating data associated with a wind turbine based on component self-identification may generally include providing instructions for transmitting a polling signal to an identification sensor associated with a wind turbine component and, in response to the transmission of the polling signal, receiving current configuration data for the wind turbine component from the identification sensor. The method may also include comparing the current configuration data received from the identification sensor to last-known configuration data for the wind turbine component and automatically updating one or more parameter settings associated with operating the wind turbine based on any differences identified between the current configuration data and the last-known configuration data.