Abstract: A refrigerator is disclosed. The refrigerator includes a temperature sensor, a cooling device, and a processor which controls the cooling device such that, when a user command to change the temperature of a storage compartment set to a first temperature to a second temperatures, is input, the temperature of the storage compartment is changed to the second temperature, based on the temperature of the storage compartment sensed by the temperature sensor, and controls the cooling device such that, when a certain period of time elapses after a point in time when the user command is input, the temperature of the storage compartment returns to the first temperature, based on the temperature of the storage compartment sensed by the temperature sensor.

Abstract: A method for optimizing forming processes for forming workpieces, in which information characterizing a relative position of a workpiece inserted in a forming device in relation to at least one reference point of the forming device is detected by means of an optical detection device, wherein at least one parameter for adjusting the respective forming process for forming the respective workpiece is determined during a respective forming process, depending on the information detected during the respective forming process and depending on the information detected during the previous forming processes performed prior to the respective forming process and stored in an electronic computing device.

Abstract: This control system includes a machine and a tool driven and controlled by using independent coordinate systems that differ from each other, and a control device that controls at least one of the machine or tool. The control system comprises a conversion unit that converts the coordinate systems, and a storage unit that stores, in the coordinate values of a shared coordinate system shared with the machine and tool, at least one of a specific position and orientation that are not shared between the machine and tool.

Abstract: An equipment management system includes: an equipment having a refrigerant; an acquisition unit configured to acquire measurement information indicating a result of measuring a temperature of the refrigerant in the equipment, electrical characteristics of the equipment, and environmental information around the equipment; and an estimation unit configured to estimate an amount of the refrigerant in the equipment based on the measurement information acquired by the acquisition unit, equipment information on the equipment and equipment installation information on an installation environment of the equipment, the equipment information and the equipment installation information being preset.

Abstract: The predictive controller determines, using the deep generative decoder model, a conditional probabilistic distribution of the latent representations of the disturbance conditioned on the partial observations of the disturbance, and samples the conditional probabilistic distribution of the latent representations to produce a latent sample of the time-series values of the disturbance affecting the mechanical system over the time horizon. The predictive controller decodes the latent sample with the deep generative decoder model to produce predicted values of the disturbance acting on the system within the time horizon with a probability of the latent sample on the conditional probabilistic distribution of the latent representations and controls the mechanical system using a predictive controller that determines control commands changing a state of the operation of the mechanical system using the probability of at least some of the predicted values of the disturbance.

Abstract: An information processing device acquires a prediction result obtained when a premise is applied to a causal model having a plurality of variables related to operation of a plant. Based on the prediction result, the information processing device specifies a relevant variable dependent on the premise from the plurality of variables. Thereafter, with respect to the relevant variable, the information processing device displays information on a state of the relevant variable obtained according to the prediction result and a statistic of plant data corresponding to the relevant variable in plant data that is generated in the plant.

Abstract: A production line design apparatus includes: a storage unit that stores facility configuration information that defines a number configuration including at least one or more main facilities that perform a main work in a production line and at least one or more setup facilities that perform an auxiliary work of the main facility, and arrangement pattern definition information including one or more arrangement patterns that define a combination of a movement method of the setup facility that is adoptable and a relative positional relationship between the main facility that is adoptable and the setup facility; and a processor that executes layout candidate generation processing of generating layout information that satisfies the number configuration by combining the arrangement patterns using the facility configuration information and the arrangement pattern definition information.

Abstract: The invention relates to method and system for machining a pocket on a raw material body.

Abstract: A heating, ventilation, and air conditioning (HVAC) control device configured to receive a user input for controlling an HVAC system, to determine whether the user input indicates an energy saving occupancy setting, and to identify a first plurality of time entries that are associated with a confidence level for a predicted occupancy status that is less than a predetermined threshold value in the predicted occupancy schedule. The device is further configured to modify the predicted occupancy schedule by setting the first plurality of time entries to an away status when the user input indicates an aggressive energy saving occupancy setting. The device is further configured to modify the predicted occupancy schedule by setting the second plurality of time entries to a present status when the user input indicates a conservative energy saving occupancy setting. The device is further configured to output the modified predicted occupancy schedule.

Abstract: A smart load control system includes: a neutral forming auto-transformer (NFT) structured to form a neutral line; a plurality of smart circuit breakers (SCBs) including an islanding and grid-connecting device (IGD) coupled to the electric grid and an EV SCB coupled to the bidirectional EV charger, the IGD structured to sense grid voltage and switch ON and OFF the electric grid, the EV smart circuit breaker structured to sense EV voltage and switch ON and OFF the bidirectional EV charger; and a building energy system manager communicatively coupled to the plurality of SCBs and structured to collect data from each SCB, the data including at least the grid voltage and the EV voltage, select one of grid-connected mode or islanded mode based on the grid voltage and the EV voltage, perform a safe transition to the selected mode, and monitor the grid voltage and the EV voltage.

Abstract: Provided is a model selection apparatus including a candidate model storage unit configured to store a plurality of candidate models each of which is generated by reinforcement learning using, as at least a part of a reward, an output of an evaluation model configured to output an indicator obtained by evaluating a state of equipment and is capable of output an action, a state data acquisition unit configured to acquire a plurality of pieces of state data representing the state of the equipment in a case where each of manipulated variables based on outputs of the plurality of candidate models is applied to a controlled object in the equipment, an indicator acquisition unit configured to acquire a plurality of indicators, a model selection unit configured to select an object model for controlling the controlled object, and an object model output unit configured to output the object model.

Abstract: Various systems and methods are presented regarding monitoring and controlling operation of a process. A visual representation of the process can be created based on a supermodel comprising models (representing one or more devices) and nodes (representing respective device variables and constraints). Further, the process can be represented by levels, wherein devices at each level can be self-aware and have onboard artificial intelligence, such that a device at any level can auto-configure itself in accordance with a requirement placed upon it. Field-level devices (IFLDs) can be smart devices which auto-configure based upon a requirement from a higher-level device. Accordingly, system awareness can be incorporated across all levels of the process enabling overall and device-specific optimization of the process.

Abstract: A machine learning apparatus capable of reducing an error between a machined workpiece and a target shape when the workpiece is machined based on a workpiece model modeling the target shape of the workpiece. A machine learning apparatus includes a state observation section configured to observe machining state data of a machine tool configured to machine the workpiece, and measurement data of an error between a shape of the workpiece machined by the machine tool based on the workpiece model and the target shape, as a state variable representing a current state of environment in which the workpiece is machined, and a learning section configured to learn the correction amount in association with the error by using the state variable.

Abstract: There is provided a distributed control device including a first power supply circuit that outputs a first power supply voltage, a power failure detection circuit that outputs a power failure notification signal, a first drive power supply circuit that outputs a first drive voltage, a second drive power supply circuit that outputs a second drive voltage, a control circuit operated by using the first drive voltage, and a first drive device operated by using the second drive voltage. The power failure detection circuit outputs the power failure notification signal including power failure information indicating that the commercial power supply is abnormal. The first switching circuit stops supply of the first power supply voltage to the second drive power supply circuit in accordance with a first switching control signal based on the power failure notification signal including the power failure information.

Abstract: This control device 10 comprises a model construction unit 11 that constructs a model for simulating a control object 20, a problem subdivision unit 12 that subdivides the model constructed by the model construction unit 11, a control measure calculation unit 13 that predicts the future status of the control object 20 using the model subdivided by the problem subdivision unit 12 and that calculates a control measure for the control object 20 on the basis of the predicted future status, and an operation command generation unit 14 that generates operation commands to the control object 20 on the basis of the control measure calculated by the control measure calculation unit 13.

Abstract: Systems and methods for a centrally designed vehicle HVAC system that cools vehicle components as well as the cabin and/or delivery containers. The HVAC system is designed with the ability to divert HVAC capacity from one vehicle system to another, allowing for more optimized HVAC usage. In some examples, the HVAC system disclosed herein allows for a more optimized HVAC system size, including decreased HVAC system weight and power consumption. In various implementations, the HVAC system uses back office prediction and remote control to make the determination of HVAC system bias based on current weather conditions as well as forecasted weather conditions. The HVAC system provides a comfortable vehicle cabin while ensuring the thermal condition of vehicle systems and components are managed to avoid interruptions to service.

Abstract: [Solving means] A remote-control apparatus, including a measurement value receiving unit for receiving a measurement value related to equipment from a local-control apparatus configured to control the equipment; a calculating unit for calculating a control value corresponding to the measurement value received by the measurement value receiving unit and a delay amount, by using a model configured to calculate a control value that should be used for control of the equipment when there is caused control delay including communication delay with the local-control apparatus from a delay amount corresponding to the control delay and a measurement value; and a control value transmitting unit for transmitting the control value calculated by the calculating unit to the local-control apparatus, is provided.

Abstract: Setpoint control processing is provided which includes generating, for a current state of a process, an artificial intelligence recommended control setpoint for the process, and obtaining, by one or more processors, historical process state instances, and associated control setpoints, related to the current state of the process. The artificial intelligence recommended control setpoint for the process is compared, by the one or more processors, to the associated control setpoints of the historical process state instances related to current state of the process. Based on a result of the comparing, a control system setpoint for the process is updated for optimal control of the process for a current process optimization objective, and the process is operated using the updated control system setpoint to optimally control the process for the current process optimization objective.

Abstract: A numerical control device comprising: a tool data acquisition unit configured to acquire tool data of a rotary multi-edge tool; a machining information acquisition unit configured to acquire machining information including a feed direction, a feed speed, and a number of rotations for the rotary multi-edge tool to move with respect to a workpiece; an oscillation condition acquisition unit configured to acquire an oscillation condition for the rotary multi-edge tool; and a movement command calculation unit configured to calculate a movement command for the rotary multi-edge tool to perform a relative movement with respect to the workpiece, the relative movement being coincident with a composite motion resulting from superposition of a basic movement in the feed direction at the feed speed and an oscillation determined based on the tool data, the number of rotations, and the oscillation condition.

Abstract: Various embodiments described herein relate to advanced process control for assets and/or processes using instance-based learning. In this regard, an event indicator related to a change event associated with operation of an asset is received. In response to the event indicator, one or more insights for one or more real-time settings for the asset are determined based at least in part on a comparison between a current operating condition digital signature for the asset and historical operating condition digital signature for the asset. Additionally, the one or more real-time settings for the asset are adjusted based on the one or more insights to provide one or more adjusted settings for the asset.