Abstract: The present disclosure provides systems, apparatuses, and methods for monitoring building efficiency by a heating, ventilation, and air conditioning (HVAC) system. In an aspect, an HVAC unit including a memory and a processor coupled with the memory is disclosed. The processor may be configured to establish a current building efficiency state value of a current run cycle of the HVAC system. The processor may also be configured to determine an building efficiency state deviation value based on a difference between an average building efficiency state value of a set of previous building efficiency state values and the current building efficiency state value. The processor may further be configured to determine whether the building efficiency state deviation value satisfies a building inefficiency threshold.

Abstract: A system includes a processor and a memory accessible by the processor and storing instructions that, when executed by the processor, cause the processor to receive an input adding a new industrial automation device to an industrial automation system including a plurality of industrial automation devices, generate a new name for the new industrial automation device based on a naming convention and a location of the new industrial automation device within the industrial automation system, determine, for each of one or more industrial automation devices of the plurality of industrial automation devices, a name change based on the addition of the new industrial automation device to the industrial automation system, wherein the name change comprises generating a replacement name and replacing a previous name with the replacement name, and update one or more respective configurations of the plurality of industrial automation devices based on the one or more name changes.

Abstract: Methods, systems, and computer storage media for providing an optimal control configuration for a material processing system are provided. In operation, a material processing engine accesses causal graph input data. Causal graph input data includes input data of a continuous flow process. Based on the causal graph and the input data, a causal graph that aligns with do-calculus manipulations—associated with determining identifiable causal relationships corresponding to input materials of the continuous flow process—is generated. The causal graph is parsed based on the do-calculus manipulations to determine valid conditioning sets associated with estimating a causal impact on an optimization target. Based on the valid conditioning sets, an optimal control configuration comprising optimal control variable values is generated.

Abstract: A lubricating oil volume adjustment system and a lubricating oil volume adjustment method are provided. The system includes a storage device and a processor and is connected to a machine including a motor through a data acquisition device acquiring current information of the motor. The storage device stores a machine learning model trained by a training data set including a plurality of pieces of the current information of the motor during operation and a plurality of temperature values measured during operation of the machine. The processor is configured to acquire the current information of present operation of the motor by using the data acquisition device, predict a temperature value of the machine when the motor operates under the current information by using the machine learning model, and calculate and adjust a lubricating oil volume suitable to be used by the machine during operation according to the predicted temperature value.

Abstract: An air conditioning control apparatus acquires an audio signal for controlling air conditioners (outdoor units and indoor units) from a mobile terminal via the Internet. The air conditioning control apparatus specifies from among the air conditioners at least one air conditioner to be controlled based on the acquired audio signal. The air conditioning control apparatus generates control commands for controlling the specified air conditioner based on the acquired audio signal. The air conditioning control apparatus transmits the generated control commands to the specified air conditioner.

Abstract: Methods and apparatus to implement predictive analytics for continuous processes are disclosed. An example apparatus includes a virtual batch unit controller to implement a sampling batch on a virtual batch unit. The sampling batch corresponds to a discrete period of time of a continuous control system process. The virtual batch unit includes input and output parameters corresponding to parameters associated with the continuous control system process. The example apparatus further includes a sampling batch analyzer to generate predictive analytic information indicative of a predicted quality of an output of the continuous control system process at an end of the discrete period of time based on an analysis of the sampling batch relative to an analytical model.

Abstract: An information processing device has a control unit that acquires information relating to a fluctuation of power consumed by an electrical product operating around a user, and that estimates a product consumed by the user and a consumption quantity of the product based on the information relating to the fluctuation in the power.

Abstract: Disclosed in the present disclosure are a method and system for controlling an air conditioner, the air conditioner, and a household appliance. The method comprises: data collected by a control device during an operation of the air conditioner is received, wherein the data comprises question information, and at least one of indoor image data and an operation status diagram of the air conditioner located indoors; the collected data is input to a training model to obtain an answer that corresponds to the question information; and the answer is played.

Abstract: A submerged waterborne data center facility that employs a feedback-control system to control any one of a condensation function, depth function, and a wired or wireless data transfer function utilizing on-board and out-board sensors operatively coupled to an operational state change controller, controlling for a hygrostat-coupled heater, depth thruster, and, or a radio frequency modulation unit.

Abstract: A device and method select an optimal boiler combustion model from among a plurality of boiler combustion models for boiler combustion to update a memory in which the boiler combustion models are stored. The device includes a memory configured to store first boiler combustion models that are derived in advance and second boiler combustion models that are derived in advance; and a processor configured to select an optimal boiler combustion model from among the first and second boiler combustion models and to update the memory according to characteristics of the selected optimal boiler combustion model. The processor may further generate a third boiler combustion model for the combustion of the boiler to select the optimal boiler combustion model from among the first to third boiler combustion models and verification data for model verification through the latest data measured in the boiler and data on basic characteristics of the measured data.

Abstract: A heating, ventilation, and air conditioning (HVAC) system includes a network of wireless remote climate sensors to develop a complete heat map of an enclosed space. The remote climate sensor is configured to collect temperature and humidity data on a zone of the enclosed space. The HVAC system uses a network of these sensors to obtain data points across the enclosed space. The resulting heat map is used by the HVAC system to determine where to direct air in the enclosed space. By comparing the temperature and humidity at a specific remote climate sensor with the user's desired temperature and humidity, the HVAC system can decide whether to increase or decrease the air flow through a variable damper that is located near the remote climate sensor. By conducting this analysis throughout the enclosed space and making incremental adjustments to the air flow in hot and cold spots in the enclosed space, the disclosed HVAC system provides even comfort to the user along with reduced energy consumption.

Abstract: The present invention relates to a method for generating control data for the secondary machining of a solid body (1), in particular wafer, which is modified by means of laser beams (10). The interior of said solid body (1) has multiple modifications (12), said modifications (12) having been produced by means of laser beams (10).

Abstract: A substrate treating apparatus includes a process module including a plurality of process units that perform a plurality of steps included in a substrate treating process and that perform the substrate treating process on substrates sequentially placed in the process units based on process recipes for the substrates, a scheduler that controls operations of the process module and the process units included in the process module, a storage that stores transfer paths information of the substrates, and a selection module that selects a process unit to proceed, by a result of feeding back the transfer paths information stored in the storage to the scheduler. The substrate treating apparatus may further include a measuring instrument that measures defect values of the transfer paths information along which the substrates are transferred. The storage may store the defect values measured by the measuring instrument according to the transfer paths information of the substrates.

Abstract: This disclosure provides a window controller that includes a command-voltage generator that generates a command voltage signal, and a pulse-width-modulated-signal generator that generates a pulse-width-modulated signal based on the command voltage signal. The pulse-width-modulated signal drives an optically-switchable device. The pulse-width-modulated signal comprises a first power component having a first duty cycle and a second power component having a second duty cycle. The first component delivers a first pulse during each active portion of the first duty cycle, and the second component delivers a second pulse during each active portion of the second duty cycle. The first pulses are applied to a first conductive layer and the second pulses are applied to a second conductive layer. The relative durations of the active portions and the relative durations of the first and second pulses are adjusted to result in a change in an effective DC voltage applied across the optically-switchable device.

Abstract: This disclosure provides a window controller that includes a command-voltage generator that generates a command voltage signal, and a pulse-width-modulated-signal generator that generates a pulse-width-modulated signal based on the command voltage signal. The pulse-width-modulated signal drives an optically-switchable device. The pulse-width-modulated signal comprises a first power component having a first duty cycle and a second power component having a second duty cycle. The first component delivers a first pulse during each active portion of the first duty cycle, and the second component delivers a second pulse during each active portion of the second duty cycle. The first pulses are applied to a first conductive layer and the second pulses are applied to a second conductive layer. The relative durations of the active portions and the relative durations of the first and second pulses are adjusted to result in a change in an effective DC voltage applied across the optically-switchable device.

Abstract: A control system for controlling a heating ventilation and air conditioning (HVAC) system, uses a thermal comfort model (TCM), an airflow dynamics model (ADM) and an HVAC model connecting thermal states at air vents with states of actuators of the HVAC system, for determining a target thermal state at the air vents connecting the HVAC system to an environment, such that the target thermal state at the air vents results in a thermal state at the location of an occupant according to the ADM connecting uneven distribution of thermal states at different locations in the environment. Further, the control system determines and submits control commands to one or multiple actuators of the HVAC system producing the target thermal state at the air vents.

Abstract: A state determination device that determines an operation state of an injection molding machine stores respective specification data of a reference injection molding machine and an injection molding machine that is different from the reference injection molding machine, and acquires data related to the injection molding machine. Then, the state determination device converts the acquired data into yardstick data by a conversion formula set for every type of data, by using the stored specification data of the reference injection molding machine and the stored specification data of the injection molding machine and performs machine learning using the yardstick data obtained through the conversion so as to generate a learning model.

Abstract: A method for managing energy in a controllable device includes determining a plurality of future energy prices, where each of the future energy prices represents a price of a unit of energy over a predetermined time period, determining a duration to charge a controllable device, correlating the duration to charge the controllable device with at least one predetermined time period based at least in part on the price per unit energy over the at least one predetermined time period, and directing a utility to charge the controllable device at the at least one predetermined time period.

Abstract: In an embodiment an electro-thermal device includes a heater, a readout circuit, a digital controller having a first input coupled to a first output of the readout circuit and a digital sigma-delta modulator having a first input coupled to an output of the digital controller and an output coupled to the heater.

Abstract: There is described a zone controller and method for identifying a root cause failure at a zone. The zone controller determines whether a temperature measurement deviates from a temperature setpoint of the temperature sensor, and generates a first repair code, a second repair code, and/or a third repair code. The first repair code replaces a temperature sensor in response to detecting that a reading of the temperature sensor has failed. The second repair code releases an operator override on the reading of the temperature sensor in response to detecting that the reading of the temperature sensor has been overridden. The third repair code releases an operator override on a setpoint of the temperature sensor in response to detecting that the setpoint of the temperature sensor is outside the predetermined setpoint range. One or more of these repair codes are provided to a remote device.