Abstract: A control method includes acquiring indoor temperatures of a plurality of rooms each having one of a plurality of indoor units of a multi-split air conditioner, identifying a target indoor unit corresponding to a target room in response to the target room satisfying an overheating condition or a supercooling condition, controlling other one or more indoor units of the multi-split air conditioner except for the target indoor unit to be shut down, and switching an operation mode of the target indoor unit.

Abstract: A method for generating an orthotic device is disclosed. The method includes receiving data from a client device of a patient, the data comprising patient information and image data representative of a body part of the patient. The method further includes generating, based on the image data, three-dimensional model data representative of the body part, and generating parametric CAD model data of the orthotic device based on the three-dimensional model data and the patient information. The parametric CAD model data is transmitted to a three-dimensional printer, wherein the three-dimensional printer is to generate the orthotic device based on the parametric CAD model data.

Abstract: An air conditioning apparatus includes an air vacuum pump that sucks in air from a prescribed space to place the space under negative pressure, a first hot and cool air tank that contains the sucked air, first valves that adjust the flow rate of air supplied to or discharged from the first hot and cool air tank, a second hot and cool air tank that contains the sucked air while an air flow from the air vacuum pump to the first hot and cool air tank is restricted, second valves that adjust the flow rate of air supplied to or discharged from the second hot and cool air tank, and a heating and cooling device that manages the temperature of at least one of the first and second hot and cool air tanks to which an air flow from the air vacuum pump is restricted.

Abstract: A smart meter system is described for managing demand side electrical transactions with shifted demand in a smart grid. The smart meter controller uses non-cooperative game theoretic analysis for managing multi-periodic smart grid shifted demand. The problems of user based electricity demand, production, storage, and sales of energy to providers are addressed. The smart meter system described is used in the control of Home-Area-Network (HAN) or Wide-Area-Network (WAN) demand response management (DRM).

Abstract: To prevent a collision of a movable part without generating an alarm excessively in manual feed. A machine learning device includes: a state observation unit that acquires, as input data, manual feed state information including a manual feed pulse waveform at a time of a manual feed operation in any manual feed operation performed in a machine tool capable of manual feed; a label acquisition unit that acquires label data indicating a distance by which a movable part of the machine tool moved within a predetermined time immediately after the manual feed pulse waveform of the manual feed state information included in the input data; and a learning unit that executes supervised learning by using the input data acquired by the state observation unit and the label data acquired by the label acquisition unit, and generates a learned model.

Abstract: This application discloses a system that may comprise at least a portion of a supply network. The system may further comprise a load controller that controls current flow with a current level of I1 into a load network that provides power to one or more loads from the at least a portion of the supply network according to a preprogrammed load curve. The system may also comprise a protection system that isolates the at least a portion of the supply network from the load controller in response to detecting a current pattern that is inconsistent with the preprogrammed load curve.

Abstract: A smart gateway platform leverages pre-defined industrial expertise to identify limited subsets of available industrial data deemed relevant to a desired business objective, and to collect and model this relevant data to apply useful constraints on subsequent artificial intelligence or machine learning analytics applied to the data. This approach can reduce the data space to which AI analytics are applied, and assist data analytic systems to more quickly derive valuable insights and business outcomes. In some embodiments, the smart gateway platform can operate within the context of a multi-level industrial analytic system, feeding pre-modeled data to one or more AI or machine learning systems executing on one or more different levels of an industrial enterprise.

Abstract: An apparatus for controlling charging of an electric vehicle and a method therefor are provided. The apparatus includes a communication device that performs vehicle-to-everything (V2X) communication with a charging station management server outside the electric vehicle and a vehicle management server configured to manage shared vehicles and a processor that requests the charging station management server to reserve a charging station via the communication device and automatically requests the vehicle management server to reserve a shared vehicle to be used when the electric vehicle is charged, via the communication device, when a vehicle power for driving to a destination is insufficient.

Abstract: A control system for operating a system having an operable component includes a master and a slave assigned to the component. The master and the slave each comprise a software processing part and a programmable logic part. The master is configured by its software processing part to: receive job data, transform the job data into component job data, and send the component job data to the slave. The master is configured by its programmable logic part to send information about a current job status to the slave. The slave is configured by its programmable logic part to receive the information about the current job status, and to send information about the current job status to its software processing part. The slave is configured by its software processing part to execute a job corresponding to the component job data using the current job status.

Abstract: A method is disclosed for controlling a charge transfer of an electric vehicle using an electric vehicle charging station, a mobile device, and a cloud server. The method includes receiving, at a mobile device, a message for an electric vehicle of a user from the electric vehicle charging station, wherein a user of the mobile device is associated with the electric vehicle to be charged. The method also includes receiving the charging control signal from the cloud server via the mobile device at the electric vehicle charging station in response to authorizing a charging control signal using identification information and credit account information received from the mobile device, wherein the charging control signal is configured to adjust a parameter used to draw electric power from the electric vehicle charging station.

Abstract: A system is disclosed to obtain energy consumption data for an energy monitored property. An identification module is configured to identify, based on first actual energy usage data for the energy-monitored property, one or more daily, weekly, or monthly future time periods when energy consumption is not likely to occur or is likely minimal within the energy-monitored property. A calibration module is configured to transmit electrical signals to open and close at least one of the gas valve and an AC unit switch in accordance with the calibration schedule during a period of time within the one or more daily, weekly, or monthly future periods of time. A computational module may be utilized to calculate a first computed flow rate for the at least one of the gas valve and the AC unit switch. A method and computer program product related to the foregoing system are also disclosed.

Abstract: A system for controlling a charging of an electric vehicle, wherein a charging at one electric vehicle charging station affect a charging at another electric vehicle charging station is disclosed. The system includes: an electric power grid, a first electric vehicle charging station connected to the electric power grid, and a second electric vehicle charging station connected to the electric power grid, wherein the first electric vehicle charging station facilitates a charge transfer for an electric vehicle at the second electric vehicle charging station using a mobile device. The mobile device relays communication from the electric vehicle charging stations to the cloud server. The charge transfer request received at the cloud server is authorized using identification information and credit account information received from the mobile device. The charge transfer at the first electric vehicle charging station is adjusted based on a charging level at the second electric vehicle charging station.

Abstract: An edge computing device is provided that includes a plurality of input electrodes that are communicatively coupled to one or more communication channels of a programmable logic controller that implements control logic to control a controlled device. The edge computing device furthers include a processor configured to, at a training time, receive signals via the plurality of input electrodes, detect inputs to the one or more communication channels and outputs from the one or more communication channels of the programmable logic controller, generate a set of training data based on the detected inputs and outputs of the programmable logic controller, and train an artificial intelligence model using the generated set of training data. The processor is further configured to, at a run-time, emulate the control logic of the programmable logic controller using the trained artificial intelligence model.

Abstract: In one embodiment, a remote monitoring system for a fluid applicator system is disclosed. The fluid applicator system is disposed to heat and pump spray fluid, and to transmit reports including sensed temperatures, pressures, and other operational parameters of the fluid applicator system via a wireless network. The remote monitoring system comprises a data storage server, and an end user interface. The data storage server is configured to receive and archive the reports. The end user interface is configured to provide a graphical user interface based on the reports. The graphical user interface illustrates a status of the fluid handling system, sensed and commanded temperatures of the fluid handling system, sensed and commanded pressures of the fluid handling system, and usage statistics of the fluid handling system.

Abstract: A method for determining an availability of an electric vehicle charging station is disclosed. The method includes: obtaining a distance between a mobile device and the electric vehicle charging station using a first geolocation information and a second geolocation information; based on the determined distance, determining an availability of the electric vehicle charging station; and sending a message to a user regarding the determined availability of the electric vehicle charging station.

Abstract: A modular door and frame that can be manufactured and supplied to end users with various combinations of intelligent features. The intelligent features allow functions to be performed by the door and/or frame. Also, conditions or events to be detected and monitored at the intelligent door and/or remote locations. Data relating to the various functions, events, or conditions can be communicated across a network that is communicatively coupled to the door.

Abstract: A system receives operations data and determines operations indicator(s) from the operations data. An operator on a manufacturing line reports a downtime event via a human machine interface device. The system receives downtime event and uptime information. The system calculates an operations indicator, such as an overall equipment effectiveness indicator, from the downtime event and uptime information. A user interface of the system includes the operations indicator(s) and visualizations. Some visualizations include a timeline indicating downtime events and other operations events. Additional downtime and uptime information is received by the system in substantially real-time. The system dynamically calculates updated operations indicator(s) from the additional downtime and uptime information.

Abstract: A system tracks and controls access for supplying electrical power for charging devices associated with a user. The system has a server and one or more outlets. The outlets are connected to electrical power and are configured to supply electrical power to the devices. Each of the outlets has a socket configured to supply electrical power to the devices. Each of the outlets is further configured to transmit the credentials to the server for authorization to access the outlet. The server is configured to determine whether the user is authorized to access the outlet and to transmit authorization to the outlet. The outlet is further configured to start a session and provide electrical power to the one or more devices upon receiving authorization from the server. The outlet is further configured to transmit information regarding the parameters to the server during the session.

Abstract: A method is disclosed for controlling a charge transfer of an electric vehicle using an electric vehicle charging station, a mobile device, and a cloud server. The method includes receiving, at a mobile device, a message for an electric vehicle of a user directly from the electric vehicle charging station, wherein a user of the mobile device is associated with the electric vehicle to be charged. The method also includes receiving the charging control signal from the cloud server via the mobile device at the electric vehicle charging station in response to authorizing a charging control signal using identification information and credit account information received from the mobile device, wherein the charging control signal is configured to adjust a parameter used to draw electric power from the electric vehicle charging station.

Abstract: A method for controlling a charge transfer of an electric vehicle using an electric vehicle charging station, a mobile device, and a cloud server is disclosed. The method includes: receiving, at a mobile device, a message for an electric vehicle of a user from the electric vehicle charging station, wherein a user of the mobile device is associated with the electric vehicle to be charged; sending, from the mobile device, the message for the electric vehicle of the user to the cloud server, wherein the charge transfer request relayed from the mobile device includes identification information; in response to a charging control signal being authorized using identification information received from the mobile device, receiving the charging control signal from the cloud server at the mobile device to be forwarded to the electric vehicle charging station, wherein the charging control signal is configured to adjust a charging parameter at the electric vehicle charging station.