Abstract: It is an object of the present invention to reduce the amount of data used in an apparatus, a system, and a method for performing a substrate processing. In order to achieve this object, a substrate processing apparatus includes one or more processing units each for performing a processing on a substrate and one or more arithmetic processing parts. One or more arithmetic processing parts generate a flow recipe defining a flow of a series of processings for a substrate by combining two or more processing recipes among a plurality of processing recipes each defining a processing condition relating to a processing to be performed on a substrate in the one or more processing units. The plurality of processing recipes include a plurality of liquid processing recipes each defining a condition of a processing to be performed on a substrate by using a processing liquid.

Abstract: In one aspect, a heat exchanger system is provided that includes a cooling system and a sensor configured to detect a variable of the cooling system. The heat exchanger system includes processor circuitry configured to provide the variable and a plurality of potential operating parameters of the cooling system to a machine learning model representative of the cooling system to estimate at least one of energy consumption, water usage, and chemical usage for the potential operating parameters. The processor circuitry is further configured to determine, based at least in part on the estimated at least one of energy consumption, water usage, and chemical consumption, for the potential operating parameters, an optimal operating parameter of the cooling system to satisfy a target optimization criterion.

Abstract: A bending process is controlled for bending a bending body, such as a bending profile. A bending device has a bending unit provided with at least one bending element that executes a defined movement based on a control signal. A data processing process is carried out in which a target geometry of the bent bending body is described in the form of target bending information by comparing at least two coordinate systems. A bending process is carried out, wherein before and/or during the bending process, the control signal controlling the at least one bending element is used on the basis of the target bending information to bend the bending body using the at least one bending element.

Abstract: A sensor in a building HVAC system includes a transducer configured to measure a variable in the building HVAC system and to generate a sensor reading indicating a value of the measured variable. The sensor includes a communications interface configured to provide the sensor reading to a control device in the building HVAC system and a near field communication (NFC) circuit separate from the communications interface. The NFC circuit is configured to facilitate bidirectional NFC data communications between the sensor and a mobile device. The sensor includes a processing circuit having a processor and memory. The processing circuit is configured to wirelessly transmit data stored in the memory of the sensor to the mobile device via the NFC circuit, wirelessly receive data from the mobile device via the NFC circuit, and store the data received from the mobile device in the memory of the sensor.

Abstract: The present invention relates to an MPC-based hierarchical coordinated control method and device for a wind-hydrogen coupling system.

Abstract: A control panel for a machine tool has a housing (1). The housing comprises a housing base part (2) and a housing front part (3). A display (19) and a control element panel (20, 21) are attached to the front part of the housing. In the region of the housing bottom side, the housing front part is connected to the housing base part by miter hinges so that it can be swiveled to provide access to the interior of the housing. Fold-out supports (13) make it possible to use an alphanumeric keyboard (15) for maintenance work. Indentations (5) on both sides of the housing rear allow the housing to be easily grasped. Control elements (18) are arranged in the indentations.

Abstract: A control system includes a control apparatus functioning as a master, and plural slaves which are network-connected to the control apparatus. The slaves each have identification information. The control apparatus includes executes a first instruction to set specified identification information to each of one or more specified slaves. The control apparatus outputs first error information indicating which slave that the setting of the identification information to which is failed, among the one or more specified slaves.

Abstract: A method for generating print images for additive manufacturing includes: accessing a part model; accessing a set of dimensional tolerances for the part model; and segmenting the part model into a set of model layers. The method also includes, and, for each model layer: detecting an edge in the model layer; assigning a dimensional tolerance to the edge; defining an outer exposure shell inset from the edge by an erosion distance inversely proportional to a width of the dimensional tolerance; defining an inner exposure shell inset from the outer exposure shell and scheduled for exposure separately from the outer exposure shell; defining an a outer exposure energy proportional to the width of the dimensional tolerance and assigned to the outer exposure shell; and defining an inner exposure energy greater than the outer exposure energy and assigned to the inner exposure shell.

Abstract: Disclosed is an electrolytic aluminum system based on a flexible DC (Direct Current) microgrid, by using the current adjustment and cloud monitoring transmission technology for electrolytic aluminum temperature electrochemical reaction elements.

Abstract: An apparatus and a method for a data learning server is provided. The apparatus of the disclosure includes a communicator configured to communicate with an external device, at least one processor configured to acquire a set temperature set in an air conditioner and a current temperature of the air conditioner at the time of setting the temperature via the communicator, and a generate or renew a learning model using the set temperature and the current temperature, and a storage configured to store the generated or renewed learning model to provide a recommended temperature to be set in the air conditioner as a result of generating or renewing the learning model. For example, the data learning server of the disclosure may generate a learned learning model to provide a recommended temperature using a neural network algorithm, a deep learning algorithm, a linear regression algorithm, or the like as an artificial intelligence algorithm.

Abstract: An HVAC system includes an evaporator. The evaporator includes a sensor configured to measure a property value (i.e., a saturated suction temperature or a saturated suction pressure) associated with saturated refrigerant flowing through the evaporator. The system includes a variable-speed compressor configured to receive the refrigerant and compress the received refrigerant. The system includes a controller communicatively coupled to the sensor and the variable-speed compressor. The controller monitors the property value measured by the sensor and detects a system fault, based on the monitored property value. In response to detecting the system fault, the controller operates the compressor in a freeze-prevention mode, which is configured to maintain the property value above a setpoint value by adjusting a speed of the variable-speed compressor.

Abstract: An apparatus includes an input unit, a processing unit, and an output unit. The input unit is configured to provide the processing unit with sensor data for an item of equipment. The processing unit is configured to implement at least one machine learning algorithm, which has been trained on the basis of a plurality of calibration sensor data for the item of equipment. Training of the at least one machine learning algorithm includes processing the plurality of calibration sensor data to determine at least two clusters representative of different equipment states. The processing unit is configured to implement the at least one machine learning algorithm to process the sensor data to assign the sensor data to a cluster of the at least two clusters to determine an equipment state for the item of equipment. The output unit is configured to output the equipment state for the item of equipment.

Abstract: A controller for controlling the operation of a power plant, the power plant comprising a wind turbine and a solar power generator, the controller comprising: an input arranged to receive an input signal indicative of an operating parameter of the solar power generator; a shadow detection module arranged to monitor the operating parameter and to detect a shadow at least partially shading the solar power generator, the detected shadow being caused by a blade of the wind turbine; a shadow prediction module arranged to predict at least one subsequent blade shadow in dependence on the detected blade shadow; a command module arranged to determine a command signal for controlling the solar power generator based on the blade shadow prediction; and an output arranged to output the command signal to the solar power generator.

Abstract: The present disclosure relates to modulating energy consumption by a water provision system installed in a building, including one or more electrical heating elements operable to heat water, a heat pump configured to transfer thermal energy from outside the building to a thermal energy storage medium inside the building and a control module configured to control operation of the water provision system, the water provision system being configured to provide water heated by the one or more electrical heating elements and/or the thermal energy storage medium to one or more water outlets, This can include: determining a level of energy demands of a geographical region comprising the building; and upon determining that the level of energy demands is high, controlling the water provision system to switch from using the one or more electrical heating elements to the thermal energy storage medium for provision of heated water.

Abstract: The present application relates to an efficient shallow geothermal energy utilization and storage system and method based on deep learning optimization. It includes the steps of obtaining current time information; determining theoretical energy consumption demand curve information; acquiring the heat exchange component number information and a corresponding single-member potential energy information; calculating single-member energy storage information according to the single-member potential energy information and preset efficiency threshold information; adding single-member energy storage information corresponding to the heat exchange component number information to obtain total stored energy information; calculating replacement time information according to the theoretical energy consumption demand curve information and the total stored energy information; and replacing the heat exchange component corresponding to the heat exchange component number information at the replacement time.

Abstract: An agricultural harvester has a frame and a spout that is mounted to the frame. A display shows a representation of harvested crop in a receiving vessel. A control system detects an operator input selecting a portion of the receiving vessel and automatically controls a fill control system to being filling the receiving vessel, at the selected portions of the receiving vessel, with harvested material.

Abstract: There is provided a personal care apparatus that is configured to connect to a display apparatus. The personal care apparatus comprises a first control unit configured to: determine a current operation mode of the personal care apparatus as a usage mode or a control mode, and detect a first predetermined user maneuver. The first predetermined user maneuver corresponds to a control operation of the personal care apparatus in the usage mode and corresponds to a control operation of the display apparatus in control mode. When the first predetermined user maneuver is detected, the first control unit is further configured to: perform the control operation of the personal care apparatus if the determined current operation mode is the usage mode, or transmit a control signal corresponding to the control operation of the display apparatus to the display apparatus if the determined current operation mode is the control mode.

Abstract: An assist device is for grasping the operating status of a plant and includes a data acquisition unit that acquires process data for the plant, a summarization unit that summarizes the dimensionality of the process data acquired by the data acquisition unit, and a display unit that displays the summarized data summarized by the summarization unit.

Abstract: The present disclosure can provide a distributed and anonymous approach to demand response of an electricity system. The approach can conceptualize energy consumption and production of distributed-energy resources (DERs) via discrete energy packets that are coordinated by a cyber computing entity that grants or denies energy packet requests from the DERs. The approach leverages a condition of a DER, which is particularly useful for (1) thermostatically-controlled loads, (2) non-thermostatic conditionally-controlled loads, and (3) bi-directional distributed energy storage systems, among others. In a first aspect of the present approach, each DER independently requests the authority to switch on for a fixed amount of time (i.e., packet duration). The coordinator determines whether to grant or deny each request based electric grid and/or energy or power market conditions.

Abstract: Disclosed is a vehicle air conditioning device including a heat pump cycle configured to compress and expand a refrigerant; a heater core; a high pressure side pressure sensor configured to detect a pressure on the high pressure side of the heat pump cycle; and a heater core inlet water temperature sensor configured to detect a temperature of cooling water at an inlet of the heater core as a heater core inlet water temperature. The heat pump cycle includes a compressor; a condenser; a water refrigerant heat exchanger and an evaporator; and a heating expansion valve and a cooling expansion valve. An estimated outside air temperature is calculated based on the high pressure side pressure detected by the high pressure side pressure sensor and the heater core inlet water temperature detected by the heater core inlet water temperature sensor.