19results about "Temperature control using digital means" patented technology

A method for characterizing a heat treatment chamber may involve training a model using temperature rate of change data from an existing heat treatment chamber. A supervised learning process can label the rate of change data based on the deposition profile on the substrate. The trained model can be used to characterize other chambers, and it can be determined whether the predicted performance will match that of the chamber used to train the model. Temperature data can be obtained and rate of change data derived using an inert process with a carrier gas, without actually depositing layers on the substrate. The rate of change data is provided to the model, and the model can generate component-specific outputs that characterize how well the chamber is predicted to match the characteristic state of the chamber (matching at different times) or match between different chambers.

The current application is directed to intelligent controllers that initially aggressively learn, and then continue, in a steady-state mode, to monitor, learn, and modify one or more control schedules that specify a desired operational behavior of a device, machine, system, or organization controlled by the intelligent controller. An intelligent controller generally acquires one or more initial control schedules through schedule-creation and schedule-modification interfaces or by accessing a default control schedule stored locally or remotely in a memory or mass-storage device. The intelligent controller then proceeds to learn, over time, a desired operational behavior for the device, machine, system, or organization controlled by the intelligent controller based on immediate-control inputs, schedule-modification inputs, and previous and current control schedules, encoding the desired operational behavior in one or more control schedules and / or sub-schedules.

A heating control system for controlling a heating element provided on a glass that separates an indoor and an outdoor of a mobile body, includes a sensor information acquisition unit that acquires sensor information from one or more sensors, and a control processing unit that controls a first heating element provided in a first region of the glass and a second heating element provided in a second region of the glass that is different from the first region based on the sensor information, the control processing unit including a temperature difference reduction processing unit that performs temperature difference reduction processing that controls at least one of the first heating element and the second heating element so that a temperature difference between a glass temperature of a third region between the first region and the second region of the glass and a glass temperature of the first region or a glass temperature of the second region does not exceed an upper limit value.

A method of troubleshooting a water pumping system including a controller, a water pump, a heater and a temperature sensor is provided. The method includes the controller controlling heating up of the heater, the temperature sensor detecting a temperature of the heater, the controller controlling the water pump to pump water through the heater with a default water pumping power, the controller determining whether the temperature of the heater after the water pump has started operating for a pre-determined period is less than or equal to a pre-determined overheating temperature, and the controller controlling the water pump with the controller to pump water through the heater with an alternative water pumping power that is greater than the default water pumping power when the temperature of the heater after the water pump has started operating for the pre-determined period is greater than the pre-determined overheating temperature.

The present disclosed is directed to systems, methods, and devices for obtaining feedback information from individuals to reveal group preferences and to systems, methods, and devices for enabling providers to provide outcomes which utilize, at least in part, the preferences of the group. For example, a system comprising a plurality of devices, wherein at least one device of the plurality of devices captures at least one feedback in one substantially simple transaction; and the at least one device of the plurality of devices sends the at least one captured feedback to at least one computer; and the at least one computer receives the least one feedback; and the at least one feedback can be given at one or more of the following: periodic time intervals, predefined time intervals, random time intervals, substantially random time intervals and substantially any time.

Systems, methods, and / or mediums determine restoration times of comfort conditions. Zone temperatures (418) for multiple zones of a facility (404) are received. A heat transfer characteristic between a first and second zones is identified in which the second zone located adjacent to the first zone. A start time (422) for a zone temperature action for the first zone is determined based on a first zone temperature of the first zone, a second zone temperature of the second zone, and the heat transfer characteristic. A zone command (420) is sent to a temperature control system of the facility (404) in which the zone command (420) includes the start time (422) of the zone temperature action for the first zone.

Method for controlling an air-cooled device (1) for compressing a gas, which device comprises at least one element (2) for compressing the gas, at least one air-cooled cooler (9, 12) for cooling a fluid in the device (1) and two or more fans (10, 13), at least one of the fans (10, 13) being an adjustable-speed fan (13) for generating a flow of cooling air for cooling the air-cooled cooler (9, 12), characterized in that, when the air-cooled cooler (9, 12) does not need to cool, the method consists of controlling the speed of the adjustable-speed fan (13) to a minimum required speed in order to avoid at least a backflow of cooling air traveling in a direction opposite to the flow.

To provide a device for controlling the temperature of a wafer by adjusting the pressure or flow rate of a gas, in which the temperature of a first region where temperature measurement is possible or the temperature in the vicinity of the first region is measured, and the temperature of a second region where temperature measurement is difficult is controlled to a target temperature.SOLUTION: A wafer temperature control device 100 in which a wafer W is placed on a temperature-adjusted plate 2 and gas is supplied between the plate 2 and the wafer W to control the temperature of the wafer W, includes a gas regulator 43 that adjusts the pressure or flow rate of the gas, a temperature sensor 5 that measures the temperature of a measurement target region W2 or its vicinity on the wafer W, an observer 10 for estimating the temperature of a non-measurement target region W1 different from the measurement target region W2 of the wafer W based on the measured temperature of the temperature sensor 5 and a gas operation amount input to the gas regulator 43 or the pressure or flow rate adjusted by the gas regulator 43, and a gas control unit 11 that controls the gas operation amount input to the gas regulator 43 by model predictive control based on the estimated temperature of the non-measurement target region W1 estimated by the observer 10 and the target temperature of the wafer W.SELECTED DRAWING: Figure 3

To provide an image processing device, a hot-cold sense presentation device, a control method for an image processing device, and a program, capable of determining the presence or absence of temperature control for a desired object in an image and having a degree of freedom in a presented temperature control range.SOLUTION: A hot-cold sense presentation device 100 comprises an image data input part 101 in which the image data of an image is entered, an object detection part 104 to detect the object in the image and to identify the type of the object based on the image data, a temperature control determination part 111 to determine whether or not the temperature control for the object occupation area occupied by the object in the image is executed based on the identified result by the object detection part 104, and a temperature determination part 112 to determine the temperature in the area occupied by the object when the execution of the temperature control is determined as the determined result by the temperature control determination part 111.SELECTED DRAWING: Figure 1

Disclosed is an electronic device for implementing an industrial process prediction and control system. The electronic device includes a communication interface, a memory in which a trained first neural network model and a trained second neural network model are stored, and one or more processors configured to perform preprocessing on, when process information including fuel input information of a cement manufacturing apparatus is received through the communication interface, the received process information, input the preprocessed process information into the trained second neural network model to obtain error information on first predicted temperature information output from the trained first neural network model and the measured temperature of a first preheating chamber in the cement manufacturing apparatus, identify predicted calorific information of a first recycled fuel among input fuels based on the obtained error information and the fuel input information, input the fuel input information updated based on the identified predicted calorific information into the trained first neural network model to obtain second predicted temperature information of the first preheating chamber, and provide guidance information including the obtained second predicted temperature information.

The microwave appliance provides safe heating of food in a food container to within a selected temperature tolerance, even though the temperature of the food container may differ from the temperature of the food. The temperature of the food may be higher than the temperature of the food container, particularly due to a higher temperature setting of the food. A control method is provided herein for calculating a target temperature of the food container at which the heating cycle will be stopped. The control method stops the heating cycle when the measured temperature of the food container reaches the target temperature. The temperature of the microwave cavity also affects the measured temperature of the food container. Therefore, the temperature of the microwave cavity can be used to determine adjustment of the food container to the target temperature.

Payload systems for processing chemical substances under various gravity levels, such as hypergravity and / or microgravity. The payload systems may include a hypergravity thermal payload system configured to enable melt or cooling of a sample under hypergravity. Alternatively, or in addition, the payload systems may include a gravity-independent thermal payload system for enabling melt or cooling of a sample under various gravity levels, such as microgravity. Alternatively, or in addition, the payload systems may include a hypergravity crystallization payload system configured to enable crystallization of a chemical substance under hypergravity. Alternatively, or in addition, the payload systems may include a gravity-independent crystallization system configured to enable crystallization of a chemical substance in various gravity levels, such as microgravity.

A heat transfer system includes a fluid flow path with a fluid inlet line and a fluid outlet line downstream of the fluid inlet line, a heat exchanger between the fluid inlet and outlet lines wherein heat generated by a heat generation system is transferred to fluid within the fluid flow path, a first temperature sensor which detects a first temperature of fluid flowing through a first portion of the fluid flow path, a second temperature sensor which detects a second temperature of fluid flowing through a second portion of the fluid flow path downstream of the first portion of the fluid flow path, and control circuitry. The control circuitry determines, without utilizing a fluid flow rate sensor, a flow rate of fluid within the fluid flow path based on the first and second temperatures and controls operation of the heat generation system based on the determined flow rate.

The disclosure relates to machine learning and artificial intelligence based control systems for heating ventilation and cooling systems. In some examples, a computing device receives flow data characterizing flow rates of a first fluid over a time range. The computing device also receives humidity data characterizing humidity levels over the time range. Further, the computing device receives temperature data characterizing temperatures over the time range. The computing device also generates a training set of features based on the flow data, the humidity data, and the temperature data. The computing device further trains a machine learning process based on the training set of features. The computing device stores machine learning model data characterizing the trained machine learning process in a data repository.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for load shaping for a demand response event using multiple device group thermal models. One of the methods includes maintaining, for a thermostat group, a thermal model that a) represents an average thermal behavior of thermostats in the thermostat group, and b) includes a plurality of parameters that define a sigmoid-like function; providing, as input to a schedule optimizer, i) a target load constraint and ii) the thermal model for each of a plurality of thermostat groups and that includes the plurality of parameters; receiving, as output from the schedule optimizer, a thermostat group schedule for one or more thermostats; and in response to receiving the thermostat group schedule, transmitting, to each of the one or more thermostats, commands to cause the corresponding thermostat to execute the corresponding thermostat group schedule.

A method for pre-conditioning a temperature-controllable sensor cover of an environmental sensor of a vehicle includes the steps of: determining a route region which describes a region of a future environment of the vehicle along a predetermined route, receiving environmental data which comprise data relevant to deposition of precipitation on the sensor cover within the route region, and outputting a heating signal for pre-conditioning the temperature-controllable sensor cover. The heating signal is output according to the environmental data.

A server processor of a server device, according to an embodiment of the present invention, can be configured to: calculate a predicted communication traffic volume processed through a telecommunication building in which a cooling system is disposed; detect, on the basis of the predicted communication traffic volume, a control area in which electronic equipment expected to overheat is disposed in the telecommunication building divided into a plurality of control areas; generate first cooling system control information for adjusting that the set temperature of a first cooling device, which is disposed for temperature adjustment of the detected control area, from among a plurality of cooling devices arranged in the telecommunication building is lowered to a pre-defined value; and transmit the first cooling system control information to the first cooling device.

A cooling device for cooling oil, characterized in that the cooling device (7) comprises an oil reservoir (8) having an oil line (9) fluidly connected thereto, wherein the following are included successively in the oil line (9): - a first electronic thermostat (10) having a first switching temperature; - an energy recovery system (11); - an oil cooler (12); wherein the oil line (9) runs from the oil cooler (12) back to the first electronic thermostat (10) and then to an oil injection line (16), wherein the first electronic thermostat (10) is configured to send by switching, based on a difference between the first switching temperature and a temperature of the oil, the oil from the oil reservoir (8) either into the energy recovery system (11) and into the oil cooler (12) or directly into the oil injection line (16).