Abstract: An HVAC system includes a motor having a plurality of speeds at which it can operate, an HVAC control, and a mobile device. The HVAC control is configured to control the motor during a plurality of different operations, and includes a controller processor, a controller memory, and controller near field communication (NFC) wireless interface including an NFC processor, an NFC memory, and an antenna. The mobile device includes a user interface and a mobile NFC wireless interface configured. The mobile device is configured to display the plurality of different operations on the user interface, receive user input settings of speeds of the motor for each of the plurality of different operations, and wirelessly transmit the received user input settings to the controller NFC wireless interface of the HVAC control. The NFC processor is configured to store the received user input settings in the NFC memory.

Abstract: Examples relate to flexible datacenters or other power loads tolerant of intermittent operation and configured to use power received behind-the-meter. A system may include a set of computing systems powered by behind-the-meter power and a datacenter control system. The datacenter control system may be configured to monitor a set of conditions that includes behind-the-meter power availability at the set of computing systems and perform a weighted analysis using the set of monitored conditions. Based on the weighted analysis, the datacenter control system may be configured to modulate operating attributes of one or more computing systems of the set of computing systems. In some examples, the datacenter control system is a remote master control system in communication with a datacenter control system of a flexible datacenter housing the set of computing systems.

Abstract: HVAC system for a building with a control, including a model containing representations of HVAC devices and control devices, assignments between the representations of HVAC devices and control devices, and representations of fluid control devices and sensor devices. A configuring section can: cause one of several fluid control devices to vary a fluid control parameter; determine a variation of a sensor parameter at one of several sensor devices caused by variation of the fluid control parameter; compare the determined sensor device with the model to detect the representation of sensor device(s) corresponding to the sensor device determined; assign the sensor device determined to one of the control devices corresponding to a representation of control devices assigned to the representation of the sensor device corresponding to the sensor device determined and/or assigned to the representation of the fluid control device for which the fluid control parameter has been varied.

Abstract: The disclosed technology includes a controller for a cascade boiler system having both condensing and non-condensing boilers. The controller can receive supply water temperature data and return water temperature data to determine a current temperature differential in the system. The controller can determine a current load demand value using the current temperature differential and a set point temperature. If the current load demand value is less than or equal to a first load demand threshold, the controller can output a control signal for a condensing boiler to transition to a heating mode. If the current load demand value is greater than a second load demand threshold, the controller can output a control signal for a non-condensing boiler to transition to a heating mode.

Abstract: A technical adapter system operates to wirelessly, remotely control a conventional thermostat and/or components of an HVAC system, HVAC/R system or both, to which the conventional thermostat is connected, and optimizing energy efficiency of the HVAC system components. This effectively heats and/or cools a space or volume that the HVAC and/or HVAC/R system is configured to heat and/or cool. An adapter device includes a processor, a memory and an adapter application program component, the adapter device configured to connect to the conventional thermostat, the HVAC system or both. A hand-held electronic device including a smart device application program component that operates to enable a hand-held electronic device user to wirelessly connect to the adapter device, and remotely control and command the adapter device.

Abstract: An air conditioner which is controlled to operate by executing an artificial intelligence (AI) algorithm and/or a machine learning algorithm in a 5G environment connected for the Internet of Things and an operating method of an air conditioner are provided. The air conditioner includes a communicator, a command input, an operation manipulator, and a controller. The communicator collects weather information and operation information of at least one connected devices. The command input receives a manipulation command of a user. An operation manipulator adjusts at least one of whether to operate the air conditioner for cooling/heating, a temperature, a wind volume, or a wind direction of the air conditioner. The controller derives a first customized value based on a manipulation command input by the command input and information collected by the communicator and controls the operation manipulator in accordance with the first customized value.

Abstract: A method of controlling devices connected to a controller includes receiving, from a server, a service rule including a trigger condition and a device executing action which is an action to be performed by one of the devices according to whether the trigger condition is satisfied, selecting one of the devices connected to the controller based on the received service rule, modifying the received service rule to control the selected device, and controlling the selected device according to the modified service rule.

Abstract: One or more first parameters associated with an electronic device manufacturing process are monitored. An artificial neural network associated with the one or more first parameters is determined. One or more second parameters are determined using the artificial neural network. The one or more first parameters are adjusted using the one or more second parameters.

Abstract: In one embodiment, a method includes detecting reverse rotation of a fan inserted into a modular electronic system comprising at least one other fan, wherein the reverse rotation of the fan is caused by a back pressure generated by the other fan rotating in a forward direction, applying current pulses to stop reverse rotation of the inserted fan and start rotation of the fan in a forward direction, and operating all of the fans with rotation in the forward direction.

Abstract: Embodiments are directed to providing interfaces for software updating and code building. In one embodiment, a software code building interface is provided which includes a manufacturing and production process analyzer configured to divide the manufacturing and production process into multiple physical, discrete steps. The software code building interface includes other modules that identify dependencies between the discrete steps, generate reusable, global software code elements having data structures that are implemented to dynamically create interactive interfaces that present and allow interaction with the discrete steps, and access the generated global software code elements and the identified dependencies to generate interactive manufacturing and production process interfaces. These interfaces allow users to provide information relating to the discrete steps, ensuring that the manufacturing and production process is performed in an intended manner.

Abstract: Disclosed is a system and method to track the consumption and use period of various consumable and/or durable welding-type products via tracking the consumption and/or use of various other consumable and/or durable welding-type products. The system and method may provide alerts when the use period of a consumable and/or durable welding-type product satisfies a threshold and therefore should be replaced.

Abstract: In a management system including a first management apparatus, a second management apparatus and an information processing terminal, the first management apparatus managing operation of a first facility apparatus, the second management apparatus managing operation of a second facility apparatus, the information processing terminal obtains first setting data for managing the operation of the first facility apparatus from the first management apparatus, converts the first setting data into second setting data, the second management apparatus being able to use the second setting data, and sends the second setting data by radio to the second management apparatus, and the second management apparatus receives the second setting data by radio, and manages the operation of the second facility apparatus by using the second setting data.

Abstract: Systems and methods for distributing electric energy in discrete power packets of finite duration are presented. Systems may include an aggregator for providing power packets to one or more nodes. An aggregator may receive requests for power packets from nodes. In other embodiments, an aggregator may transmit status broadcasts and nodes may receive power packets based on the status broadcasts.

Abstract: A method determines an optimized cutting plan for using a guillotine to cut a batch of rectangular pieces of glass out from at least one sheet of glass. The method includes initializing including defining cutting constraints and positioning constraints for the pieces together with an optimization criterion; creating a tree comprising a root, leaves, each presenting a complete cutting plan enabling all of the pieces of the batch to be cut out, the cutting plan associated with a node of the tree being obtained by adding to the partial cutting plan associated with the parent node of the node, and in compliance with the constraints, the next piece for the frame determined in compliance with the sequence predetermined for the frame; and selecting a complete cutting plan associated with a leaf of the tree as a function of the optimization criterion.

Abstract: A system enabling localized intelligent control with communication and coordination at local subsections of a power grid with information transfer to utility for supervisory control is disclosed. The disclosure extends the control and communication capability within, at the edge, and outside the edge of the power grid using intelligent and self-aware FACTS devices. Aspects of the disclosure enable control of a distribution network, energy storage systems and generation sources as an integrated system allowing optimization of power grid operation from generation to distribution. This control capability further enables a supervisory utility to implement and manage policy issues, such as standard compliance, carbon emission reduction, right-of-way management, and conformance to environmental regulations, such as EMI compliance, noise reduction, etc. This also allows the supervisory utility to optimize energy cost, network reliability, and asset utilization and life.

Abstract: A clothes treating apparatus which controls a temperature of clothes and an operating time by executing an artificial intelligence (AI) algorithm and/or a machine learning algorithm in a 5G environment connected for Internet of Things and an operating method of the clothes treating apparatus are provided. The clothes treating apparatus includes a communicator, a controller, a memory, a storage space, a temperature sensor, a temperature adjuster, and a fan. The communicator collects weather information and operation information of at least one connected device. Further, the communicator collects activity information or biometric information of the user from a portable terminal, a wearable device, or a vehicle. A user's preferred clothing temperature is derived by using clustering, deep learning, and reinforcement learning of the collected information, and the temperature of the clothes is adjusted based on the derived target temperature.

Abstract: A carbon dioxide sensor (92) measures the carbon dioxide concentration of inside air. An inside air control system (30) controls the carbon dioxide concentration of the inside air based on a measured value obtained by the carbon dioxide sensor (92). If the measured value obtained by the carbon dioxide sensor (92) returns to a predetermined normal range after falling outside the normal range, the controller (110) of the inside air control system (30) performs a determination operation. The determination operation is an operation for supplying outdoor air to the carbon dioxide sensor (92) to determine whether or not the carbon dioxide sensor (92) is normal.

Abstract: To provide an adjusting device and an adjusting method for appropriately controlling the machine learning reduced in cost with respect to calculation load and learning period of time in the case where an evaluation program for machine learning is used separately from a machining program and the like.

Abstract: In an example, a method includes generating a training dataset for an inference model to generate dimensional modifications to apply to object models to compensate for departures from model dimensions in objects generated using additive manufacturing based on those object models. Generating the training dataset may include acquiring, for each of a plurality of generated objects, (i) an indication of a first dimensional inaccuracy and a second dimensional inaccuracy, wherein the first and second dimensional inaccuracies are acquired in a direction of a first axis and relate to respective first and second object dimensions; and (ii) an indication of object placement within a fabrication chamber during object generation.

Abstract: Systems and methods are disclosed to control the power grid frequency by capturing the frequency change using an extended Kalman filter method with the distributed smart outlet devices at the low-voltage distribution level; and locally control the relay that provides power to the appliance by comparing the captured frequency with the threshold sent from the cloud control center.