Abstract: A method, device, and system for configuring a coating machine for coating a surface of a product using a coating substance are provided. The method includes determining a value associated with one or more parameters from a plurality of parameters associated with the coating operation. The method also includes predicting a value associated with at least one attribute associable with the coating substance based on the determined value associated with the one or more parameters using a trained machine learning model. The method includes configuring the coating machine for coating the surface using the coating substance based on the predicted value associated with the at least one attribute associable with the coating substance. The method also includes initiating a coating operation at the configured coating machine for coating the surface of the product using the coating substance.

Abstract: The present application provides a fault risk analysis system, a fault risk analysis method, an air conditioner and a computer readable storage medium, and the fault risk analysis system comprises: a memory for storing computer programs; a processor for executing the computer programs to implement: obtaining debugging information and/or system operation information, and determining fault inducing factors corresponding to the debugging information and/or the system operation information; and adjusting a fault risk level of the fault category corresponding to the fault inducing factors according to the fault inducing factors. By collecting the debugging information, potential fault inducing factors of the current unit can be accurately reflected; by collecting the system operation information to analyze the fault inducing factors, the fault risk analysis system can obtain more accurate and reliable fault inducing factors.

Abstract: A method and device for processing wafer detection tasks, a system, and a storage medium. The method includes that: the resource manager node receives the wafer detection task from the storage server, selects the target work node from the plurality of work nodes according to weight values of the work nodes connected to the resource manager node, and allocates the wafer detection task to the target work node. The target work node selects the idle GPU from the resource pool and allocates the wafer detection task to the idle GPU for execution. The GPU preprocesses the wafer map in the wafer detection task and inputs the processed wafer map into the wafer detection model to obtain the detection result.

Abstract: For etching tools, a neural network model is trained to predict optimum scheduling parameter values. The model is trained using data collected from preventive maintenance operations, recipe times, and wafer-less auto clean times as inputs. The model is used to capture underlying relationships between scheduling parameter values and various wafer processing scenarios to make predictions. Additionally, in tools used for multiple parallel material deposition processes, a nested neural network based model is trained using machine learning. The model is initially designed and trained offline using simulated data and then trained online using real tool data for predicting wafer routing path and scheduling. The model improves accuracy of scheduler pacing and achieves highest tool/fleet utilization, shortest wait times, and fastest throughput.

Abstract: A building management system includes building equipment operable to affect a physical state of a building. The building management system includes a system manager coupled to the building equipment via a system bus, the system manager comprising a schedule manager configured to control an operation schedule of the building equipment. A client device is configured to communicate with the schedule manager to modify operation schedules of the building equipment or add new operation schedules for the building equipment. The schedule manager comprises a list of available schedules for the building equipment and is configured to, in response to modification of the operation schedules or addition of new operation schedules, update the list of available schedules to include the modification or the new operation schedule.

Abstract: Disclosed is a method to create a digital twin which is a copy of a machine or a production system in a computer environment and usage of the created digital twin in the computer-based calculation. Digital twins which are developed by the method are created by physical laws/equations rather than solely by sensor data. Developed digital twins could be created/served with API's by dividing thereof into small pieces and could be resold through a market place in form of an application.

Abstract: A machine control system including a first data processing device having a first central processing unit, which implements a control agent, the first data processing unit communicating control commands to the machine and receiving process and environmental data from the machine, which contain state information about the state of the machine and/or an environment of the machine. A second data processing device receives the state information from the first data processing device and implements a copy of the control agent. The second data processing device ascertains, with the aid of one or multiple graphics processing units and/or one or multiple tensor processing units, an update of the copy of the control agent by reinforcement learning, using the state information, and communicates the update to the first data processing device.

Abstract: Methods of controlling surface systems described herein include acquiring data during operation of a surface system that handles fluid using sub-systems; generating a parameter value for one of the sub-systems using at least a portion of the data and a model that models the sub-system using historical data that include operational adjustment data for operational adjustments responsive to conditions; and automatically controlling the one of the sub-systems using the parameter value.

Abstract: A device management system includes a device installed in a building, a control terminal connected to the device, and a management apparatus connected to the control terminal via a network. Both the control terminal and the management apparatus are configured to be capable of acquiring a control command that is created by a user. The control command that is created by the user is acquired by at least one of the control terminal and the management apparatus. Based on the control command that is acquired, control of the device is shared and executed in at least one of the control terminal and the management apparatus.

Abstract: A process state monitoring device incudes a processor including hardware, the processor being configured to: separate two or more components from time series data of a value indicating a state of a process; compute a characteristic value from each of the separated components; and classify the state of the process on the basis of the computed characteristic values.

Abstract: A method is set forth that serves to execute an event-oriented control program on a programmable logic controller of an automation system, wherein the control program comprises a plurality of functional modules, wherein an execution of the individual functional modules is triggered in an event-controlled manner on the occurrence of activation events that are each associated with the individual functional modules, and wherein priorities are assigned to each of the activation events. The method comprises the following steps: detecting activation events that have occurred; and executing the functional modules that are each associated with the activation events that have occurred in an execution sequence defined on the basis of the priorities of the individual activation events.

Abstract: The invention concerns a method for controlling a mechanism (10) displaying asymmetrical behaviour, the mechanism (10) comprising a first operating direction (F+) and a second operating direction (F?), the control method making it possible to generate, using a control module (24) of a computer (20), a control signal (x_com) from a setpoint signal (x_cons), in which—when the setpoint signal (x_cons) indicates that the mechanism (10) should be operated in the first direction (F+), the control module (24) applies a first corrector (100) to the setpoint signal (x_cons) in order to generate a control signal (x_com),—when the setpoint signal (x_cons) indicates that the mechanism (10) should be operated in the second direction (F?), the control module (24) applies a second corrector (100) to the setpoint signal (x_cons) in order to generate a control signal (x_com), and in which the first and second correctors (100, 200) have different parameters (Kp1, Kp2, Ti1, Ti2), in order to compensate for the asymmetrical beha

Abstract: A power generation planning apparatus that calculates a generation plan which is a plan of starting and stopping and output power of electric generators. The apparatus includes an information calculation unit that calculates demand and supply of electric power, a plan calculation unit that calculates the generation plan of the starting and stopping and the output power of the electric generators by using, as an input, the generation information calculated by the information calculation unit, and an adjustment unit that calculates a generation plan with a time interval shorter than the generation plan by adjusting a starting initiation time and/or a stopping initiation time of the electric generator in the generation plan such that total power generation cost is reduced by using, as inputs, the generation plan calculated by the plan calculation unit and generation information with a time interval shorter than the generation plan.

Abstract: A communication device generates electricity by receiving light and uses the generated electricity to wirelessly transmit communication data. An air conditioner includes an air-conditioner main body that performs air conditioning. An operation state of the air-conditioner main body is caused to be a setback in a case where communication data from the communication device is not transmitted for a predetermined transition time when the operation state of the air-conditioner main body is caused to be in a stop, the setback being a state in which air conditioning of the air-conditioner main body is performed, and the temperature of a space where the air conditioner is placed does not exceed a predetermined limit temperature, the stop being a state in which air conditioning by the air-conditioner main body is not performed.

Abstract: An air conditioner includes an outdoor unit, a plurality of mode change devices including at least one mode changer including a branch duct and a changing valve, and configured to receive a control signal from the outdoor unit to control an operation of the at least one mode changer. A plurality of indoor units are connected to the outdoor unit or the plurality of mode change devices. The outdoor unit may determine an operation mode to operate the plurality of mode change devices a plurality of times. Each of the plurality of indoor units may detect a temperature change of an indoor heat exchanger in response to the operation of the mode change devices, to determine the number of connected mode changers and a connectable mode changer candidate group based on the temperature change of the indoor heat exchanger.

Abstract: A problem is to specify a more proper manufacturing process for a product as a material. A configuration of the present invention for solving the above problem is a manufacturing process optimization system 1 which includes an input device 12 which receives a final product and information on its manufacturing process, a central control device 11 which in accordance with a product management unit 21 stored in a main storage device 14, separates each process block constituting the manufacturing process into functions that the process thereof is responsible for, and selects the sensitivity of each separated function along the manufacturing process to thereby calculate process conditions in all manufacturing process, and an output device 13 which outputs the process conditions.

Abstract: A display system provided in production equipment having driving means and monitoring means with controllable features includes a control unit, a display unit, and a storage unit. The control unit obtains a feature output over time from at least one among the driving means and the monitoring means, and causes the storage unit to store the feature; constructs, in each prescribed time, a causal relationship model that indicates a causal factor selected from among the driving means and the monitoring means for at least one abnormality that can occur in the production equipment and that also indicates the relationship between causal factors on the basis of the obtained feature; and displays, on the display unit, a plurality of causal relationship models constructed in a plurality of times.

Abstract: An apparatus and a method for controlling a process are provided. An apparatus for controlling a process includes a processor, and a memory for storing a plurality of instructions executed by the processor, in which the plurality of instructions include an instruction for determining deviation tendency of a seating point of a substrate with respect to a seating center point of a substrate support based on a seating point data created by accumulating the seating points of the substrate seated on the substrate support, an instruction for determining an alarm level according to the determined deviation tendency, and an instruction for performing post-processing according to the determined alarm level, in which the seating point data includes a change of the seating point over time.

Abstract: Embodiments relate to a method for predicting power generation and remaining useful life to predict operational soundness of a power plant and a system for performing the same, the method including acquiring sensing data from each of a plurality of sensors included in a plurality of systems in the power plant, outputting each of a predicted power generation and a predicted remaining useful life from a measurement value in sensing data of an input sensor through a pre-trained prediction model, assessing the operational soundness in aspect of the power generation and the remaining useful life using a prediction result and a current result in each aspect, and determining the operational soundness of the system based on prediction uncertainty and an assessment result in aspect of the power generation and the remaining useful life.

Abstract: A machine learning apparatus for optimizing transfer of heat quantity is provided.