Abstract: A machine learning device performs machine learning with respect to a numerical control device that operates a machine tool on the basis of a machining program. The machine learning device includes a state information acquisition unit configured to acquire state information including conditions of a spindle speed, a feed rate, a number of cuts, and a cutting amount per one time or a tool compensation amount, and a cycle time of cutting a workpiece, and machining accuracy of the workpiece; an action information output unit configured to output action information including modification information of the condition; a reward output unit configured to output a reward value in reinforcement learning on the basis of the cycle time and the machining accuracy; and a value function updating unit configured to update an action value function on the basis of a reward value, the state information, and the action information.

Abstract: Techniques are described for viewing a plurality of related presentation areas linked to a set of machine-related data. In one example, a machine-related data set associated with a manufacturing process session for manufacturing a particular workpiece is presented, the data set representing a common data set presented in a plurality of presentation areas, each associated with a separate view on the machine-related data set. In one of the presentation areas, a selection of a particular group of data points is identified and that presentation area is updated. Reference values associated with the common data set are identified based on the selected group of data points. For each of the other presentation areas, (1) a particular set of data included in the particular other presentation area corresponding to the identified reference values is identified and (2) the corresponding presentation area is updated based on that identified data set.

Abstract: An air-conditioner remote controller in an air conditioner system that includes the air-conditioner remote controller and an air conditioner that performs air-conditioning control using room temperature information received from the air-conditioner remote controller, includes: a storage unit to store room temperature information that is information on room temperature measured by a plurality of temperature sensors and store schedule information that sets, for each time zone, a temperature sensor to measure a room temperature to be used as room temperature information in the air-conditioning control of the air conditioner; and a control unit to perform control such that the room temperature information from the set temperature sensor is acquired from the storage unit and the acquired room temperature information is transmitted to the air conditioner in accordance with the schedule information.

Abstract: A method includes obtaining one or more models associated with a model-based controller in an industrial process having multiple actuator arrays and performing spatial tuning of the controller. The spatial tuning includes identifying weighting matrices that suppress one or more frequency components in actuator profiles of the actuator arrays. The spatial tuning could also include finding a worst-case cutoff frequency over all output channels for each process input, designing the weighting matrices to penalize higher-frequency actuator variability based on the model(s) and the cutoff frequencies, and finding a multiplier for a spatial frequency weighted actuator variability term in a function that guarantees robust spatial stability. The controller could be configured to use a function during control of the industrial process, where a change to one or more terms of the function alters operation of the controller and the industrial process and at least one term is based on the weighting matrices.

Abstract: An apparatus and methods for generating geometric data for use in an additive manufacturing process. The apparatus includes a processing unit. The processing unit may be arranged for receiving data defining surface geometry of a plurality of objects to be built together in an additive manufacturing process, providing a user interface that allows a user to define a location of each object within a common build volume and carrying out a slicing operation on at least one of the objects located in the common build volume independently from another one of objects located in the common build volume. The slicing operation determines sections of the at least one object to be built in the additive manufacturing process. In one embodiment, the objects are defined in a hierarchical data structure. Supports for supporting the objects during the build may be defined with reference to a 2-dimensional support cross-section.

Abstract: One or more hybrid management modules for Photovoltaic (PV) systems are provided. These modules may be configured for peer-to-peer communication and may also be configured for cellular communication outside of the PV system. The modules may be coupled or located near individual PV modules and may be configured with or alongside PV inverters or converters. The modules may take the place of a central system manager located beyond a main service panel and may work in conjunction with a controller located beyond a main service panel.

Abstract: A display unit for a manually operated machine tool includes a display having windows and text each associated with and indicating positions of different axes of the manually operated machine tool which are manually adjustable. A memory stores configuration modes of the display including a stationary mode in which the windows and text provided in the display are each the same size and color, and at least one emphasis mode in which the window and/or text associated with one of the different axes is larger and/or a different color. A processor is configured to switch the display from using the stationary mode to using an emphasis mode based a position signal indicating that one of the different axes is being adjusted by manual operation of an operator such that the window and text associated with the axis being adjusted is emphasized on the display.

Abstract: A solid-state common-wire adapter combines two Heating, Ventilating, Air Conditioning (HVAC) control signals on a single pre-existing wire to allow another pre-existing wire to be used as a common-wire to provide reliable power to a Smart Communicating Thermostat. The solid-state common-wire adapter may comprise a thermostat element with at least one diode and an HVAC element with at least one device selected from the group consisting of: a solid-state TRIode for Alternating Current (TRIAC), a capacitor, a microprocessor, a power supply, an optoisolator, and a load resistor. Smart Communicating Thermostats require continuous power for communicating with a wireless network, providing a Liquid Crystal Display (LCD) display, and controlling an HVAC system. Some Smart Communicating Thermostats use power stealing which is unreliable. The solid-state common-wire adapter is reliable, small, low-cost, and easy to install.

Abstract: An extremum-seeking control system for a plant includes a feedback controller for operating the plant to achieve a value of a manipulated variable, and an extremum-seeking controller. The extremum-seeking controller is configured to provide the value of the manipulated variable to the feedback controller and to determine a value for the manipulated variable. The extremum-seeking controller determines the value for the manipulated variable by perturbing the manipulated variable with an excitation signal and monitoring a performance variable of the plant resulting from the perturbed manipulated variable, estimating a normalized correlation coefficient relating the performance variable to the manipulated variable, and modulating the manipulated variable to drive the normalized correlation coefficient toward zero using a general set of tuning parameters. The general set of tuning parameters are adapted for use with the normalized correlation coefficient, independent of a scale of the performance variable.

Abstract: An active power distribution network multi-time scale coordinated optimization scheduling method and storage medium are provided. The method includes the following steps: performing long-time scale optimization scheduling of an active power distribution network; performing short-time scale rolling optimization scheduling on the basis of MPC of the active power distribution network according to an optimization result of the long-time scale optimization scheduling of the active power distribution network. By using a model prediction control method, taking the long-time scale optimization scheduling result as a reference, and performing short-time scale rolling correction, the optimization scheduling of the active power distribution network is achieved, thereby reducing unfavorable influences of prediction precision of a distributed power supply and a low-voltage load on the optimization scheduling.

Abstract: A refrigerator-implemented method for optimizing placement of food items in different compartments of a refrigerator, according to one embodiment, includes: receiving a request to store a first type of food item in the refrigerator, determining, using detection hardware, each type of food item already stored in one or more of the compartments of the refrigerator, comparing a characteristic of the first type of food item with a same type of characteristic for each type of food item already stored in the one or more of the compartments of the refrigerator, selecting a first of the compartments in which to store the first type of food item based at least in part on the comparison, and outputting, using an output device, a recommendation to store the first type of food item in the first compartment. Other systems, methods, and computer program products are described in additional embodiments.

Abstract: A system includes a mounting plate having a plurality of reference members, an inspection system having a profiler device, and an additive manufacturing machine operatively coupled with the inspection system. A computer device scans the mounting plate with the profiler device to obtain position and orientation of the reference members and position and top surface profile data of any parts located on the mounting plate. A transmitting step transmits reference member position and orientation and part position and top surface profile data to the additive manufacturing machine. A detecting step detects mounting plate orientation and position inside the additive manufacturing machine. A combining step combines mounting plate orientation/position inside of the additive manufacturing machine and part position and top surface profile data to calculate a build path program for the additive manufacturing machine. A performing step performs a build process using the build path program to repair the parts.

Abstract: A data center infrastructure monitoring system and method that includes a plurality of geographically distributed data centers, each data center comprising a plurality of physical infrastructure assets. A data center gateway system communicatively coupled to one or more data centers of the plurality of data centers is configured to receive a request from a customer of a data center of the plurality of data centers to display a real-time power path that shows a current flow of power through a plurality of assets of the data center, determine a subset of the plurality of assets of the data center that provide power to equipment of the customer of the data center, and output, for display, a graphical depiction of the real-time power path between the subset of the plurality of assets of the data center that provide power to equipment of the customer in the data center.

Abstract: A system for managing and tracking plant management at a site is provided. The system includes a device management server and a plant management device communicatively connected to the device management server via a network. The plant management device is configured to: receive a plant management task order including task instructions for performing a plant management task and automatically perform the plant management task according to the task instructions; send a task receipt notification to the device management server, the task receipt notification including task beneficiary data; and transmit task performance data to the device management server, the task performance data logged during performance of the plant management task.

Abstract: A system and method for defining a cause and effect matrix (CEM) within a process control system for a process plant, including accessing a cause and effect matrix (CEM) having a set of causes and a set of effects, wherein each of the set of causes represents a condition within the process plant and each of the set of effects represents an effect to be performed within the process plant. The system and method further includes, for each of the set of effects: (i) identifying a subset of the set of causes according to a corresponding set of the cause-effect pairs corresponding to the effect of the set of effects, (ii) defining the subset of the set of causes as a single-dimension matrix, and (iii) automatically calculating a numerical representation for the single-dimension matrix. The system and method further includes configuring a set of function blocks for the process control system according to the set of numerical representations.

Abstract: The present invention provides a method for forecasting load and managing a control plan for households having electric appliances wherein the control plan determines the activation of the electric appliances at pre-defined control periods.

Abstract: In an appliance control system, a receiver receives, from a terminal device used by a first user, an instruction for remotely controlling an appliance installed in a home. A determiner determines whether a second user is present in a location in which an appliance-to-be-instructed is installed. When it is determined that the second user is not present in a location in which the appliance-to-be-instructed is installed, an appliance controller controls the appliance on the basis of the instruction. On the other hand, when it is determined that the second user is present in the location in which the appliance-to-be-instructed is installed, the appliance controller does not control the appliance.

Abstract: A management server is provided. The management server includes a communication interface unit configured to receive user environment information from a plurality of wearable apparatuses located in a preset space, an analyzer configured to analyze an environment state of the preset space based on a plurality of pieces of the received user environment information regarding the plurality of wearable apparatuses and determines an operation state of a common device located in the preset space according to the analyzed environment state, and a controller configured to control the communication interface unit so as to operate the common device according to the determined operation state.

Abstract: A selection of a three-dimensional model by a user is received, and an interlocking block framework corresponding to the selected three-dimensional model is determined. The interlocking block framework includes one or more physical construction blocks configured to interlock with one another. A three-dimensional gap model is generated based upon the selected three-dimensional model and the interlocking block framework. The three-dimensional gap model is generated by removing a representation of the determined interlocking block framework from the selected three-dimensional model.

Abstract: A selection of a three-dimensional model by a user is received, and an interlocking block framework corresponding to the selected three-dimensional model is determined. The interlocking block framework includes one or more physical construction blocks configured to interlock with one another. A three-dimensional gap model is generated based upon the selected three-dimensional model and the interlocking block framework. The three-dimensional gap model is generated by removing a representation of the determined interlocking block framework from the selected three-dimensional model.