Abstract: A method includes receiving first data associated with measurements taken by a sensor during a first manufacturing procedure of a manufacturing chamber. The method further includes receiving second data. The second data includes reference data associated with the first data. The method further includes providing the first and second data to a comparison model. The method further includes receiving a similarity score from the comparison model, associated with the first and second data. The method further includes performance of a corrective action in view of the similarity score.

Abstract: A system, method, and medium for virtually real time monitoring of machine performance are described. An optimal set-point for a data source is determined. The data source corresponds to operation of a machine. Virtually real time data is received from the data source corresponding to current operation of the machine. A deviation between the virtually real time data and the optimal set-point for the data source is computed. An intensity map is rendered representing the computed deviation according to a predefined visual gradient.

Abstract: The present disclosure provides system, methods, and computer program products for predicting and detecting anomalies in a subsystem of a system. An example method may comprise (a) determining a first plurality of tags that are indicative of an operational performance of the subsystem. The tags can be obtained from (i) a plurality of sensors in the subsystem and (ii) a plurality of sensors in the system that are not in the subsystem. The method may further comprise (b) processing measured values of the first plurality of tags using an autoencoder trained on historical values of the first plurality of tags to generate estimated values of the first plurality of tags; (c) determining whether a difference between the measured values and estimated values meets a threshold; and (d) transmitting an alert that indicates that the subsystem is predicted to experience an anomaly if the difference meets the threshold.

Abstract: An automated container fill line system comprises a container fill line configured to transport a plurality of containers at a fill line speed, and a filler configured to dispense a material into each of the containers individually and sequentially. An Expert System is configured to control the container fill line speed using a set of hierarchical rules and one or more machine learning models associated with equipment of the container fill line.

Abstract: An energy-saving strategy formulation method for a semi-automatic production line based on model predictive control is performed as follows. max-plus algebra model is constructed, based on which an optimization objective function with the WIP products as discrete elements and sleep start moment and sleep end moment of the automated device as control variables is established. A first unoptimized WIP product is substituted into the optimization objective function, and the optimization objective function is solved to obtain an optimal sequence, in which a first set of values is output as optimization result. Whether all WIP products have been optimized is determined, and if yes, an energy-saving strategy is generated and used to control the automated device, otherwise, the optimization result is treated as disturbance information to be incorporated into the modeling. An energy-saving strategy formulation system is also provided.

Abstract: A machine learning apparatus capable of reducing an error between a machined workpiece and a target shape when the workpiece is machined based on a workpiece model modeling the target shape of the workpiece. A machine learning apparatus includes a state observation section configured to observe machining state data of a machine tool configured to machine the workpiece, and measurement data of an error between a shape of the workpiece machined by the machine tool based on the workpiece model and the target shape, as a state variable representing a current state of environment in which the workpiece is machined, and a learning section configured to learn the correction amount in association with the error by using the state variable.

Abstract: The present disclosure relates to a method and apparatus for cycle-based programming of a control program for a numerically controlled machine tool at a control apparatus of the machine tool. Geometrical features, which have been detected and/or identified within a data analysis processing performed on the basis of workpiece data including a 3D workpiece model, each detected and/or identified geometrical feature being associated with a respective predetermined machining operation, are associated with a respective machine control cycle which is associated with a respective predetermined machining operation with which the respective associated geometry feature is producible.

Abstract: Methods for ascertaining a control strategy for a technical system using a Bayesian optimization method. The control strategy is created based on model parameters of a control model and is executable. The method includes providing a quality function whose shape corresponds to a regression function and that evaluates a quality of a controlling of the technical system based on model parameters; carrying out a Bayesian optimization method based on the quality function in order to iteratively ascertain a model parameter set having model parameters within a model parameter domain that indicates the permissible value ranges for the model parameters; and determining the model parameter domain for at least one of the model parameters as a function of an associated maximum a posteriori estimated value of the quality function.

Abstract: A system for controlling air flow in an air handling unit having an air mover is provided. The system includes a first and a second sensing device, each receiving a first input indicative of electric power and a second input indicative of properties of air, respectively. The system further includes a processing unit to determine heat generated from a motor of the air mover based on the first input, determine density of air based on the heat generated from the motor based on the second input, and determine an actual air flow rate based on the density of the air, a speed of the motor, and dimensional characteristics of the air handling unit. Further, the speed of the motor is controlled when the actual air flow rate is different from a target air flow rate.

Abstract: Various embodiments manage energy generation in a power generation and distribution system. In one embodiment, a set of residual load data is obtained for a given period of time measured at one or more nodes within a power generation and distribution system. The set of residual load data encodes a set of power flow signals. The set of residual load data is analyzed. An amount of power contributed to the set of residual load data by at least one energy generator class is determined based on the analysis of the set of residual load data.

Abstract: An artificial intelligent food refrigerating device and a method for refrigerating food by using the same are disclosed. An artificial intelligent food refrigerating device according to the present disclosure identifies the size, volume, type, and quantity of food to be put into it and determines a target refrigeration temperature and refrigeration time for the food based on an identification result. The artificial intelligent food refrigerating device and method according to the present disclosure may be associated with an artificial intelligent module, a robot, an augmented reality (AR) device, a virtual reality (VR) device, a 5G service-related device, etc.

Abstract: A fan management system includes a fan and a server. The fan includes a driving circuit, and the driving circuit is configured for driving the fan. The fan operates in an operation mode. The server is connected to the fan and is configured for controlling the operation of the fan. The driving circuit outputs a digital label signal when the fan operates abnormally, and the server obtains a production history, an operation information and a warning message of the fan through the digital label signal. The server adjusts the operation mode of the fan according to the warning message simultaneously.

Abstract: An arithmetic operation device includes a performance calculation unit that is configured to calculate performance of a plant before introduction of a part and the performance of the plant after the introduction of the part for each of combinations of a plurality of loads in the plant and a plurality of atmospheric temperatures around the plant, a storage unit that is configured to store a data table indicating a percentage of an operating time of the plant for each of the combinations, and a performance improvement calculation unit that is configured to calculate, on the basis of a calculation result in the performance calculation unit and the data table, how much the performance of the plant is improved compared with the performance before the introduction of the part in a case where the part is introduced and the plant is operated at the percentage indicated by the data table.

Abstract: A controller for an autonomous network includes a processor configured to execute composable and replaceable modules in an interconnected manner to configure controller components. The controller components comprise a sensing component configured to collect sensor data about at least one controlled element under control of the controller, an analyzing component configured to process the collected sensor data to derive a current state of the at least one controlled element, a deciding component configured to, based on the derived current state, decide an action to be made with respect to the at least one controlled element, and an acting component configured to carry out the decided action with respect to the at least one controlled element, by causing a change in at least one of an operation of the at least one controlled element, or a configuration of the at least one controlled element.

Abstract: A method for controlling cold storage of an air conditioner includes acquiring an ambient temperature around the air conditioner and a pipe temperature of an exhaust pipe of a compressor of the air conditioner, acquiring a target opening degree corresponding to a current cold storage mode of the air conditioner according to the ambient temperature and the pipe temperature, and adjusting an opening degree of a throttle device of the air conditioner to be the target opening degree. The throttle device is arranged at a pipe between a cold storage box of the air conditioner and a condenser of the air conditioner.

Abstract: A control method includes obtaining historical operation records for a plurality of indoor units of an air conditioner system, and determining control parameters of the at least two indoor units according to the historical operation records to control the at least two indoor units. The air conditioner system further includes an outdoor unit.

Abstract: An embodiment includes a system for automatic depth positioning of wire conveyed operations using proportional-integral-derivative (PID) control loops.

Abstract: Various embodiments relate to an electronic device for brain-inspired adaptive control of resolving the bias-variance tradeoff and a method thereof. The method may include estimating a prediction error baseline for an environment, based on a first prediction error of a low-variance intelligent system for the environment and a second prediction error of a low-bias intelligent system for the environment; and implementing an adaptive control system by combining the low-variance intelligent system and the low-bias intelligent system based on the estimated prediction error baseline.

Abstract: Disclosed is a large-scale dynamic double-effect scheduling method for a flexible job shop based on genetic programming (GP). In a GP implementation process of the present disclosure, in addition to features related to workpieces, processing robots and automated guided vehicles (AGVs), such as processing time of working procedures and buffer area waiting time, features of a ratio of processing time to transfer time and a ratio of processing energy consumption to transfer energy consumption are also added in a terminal set to cause job shop environment features to be more comprehensively applied to a scheduling rule design, thereby automatically designing a more consistent and accurate scheduling rule. A double-effect scheduling rule of the present disclosure overcomes the shortcomings of slow convergence speed, difficulty in rapid corresponding changes and unfit scheduling rules, and can quickly produce a more efficient and energy-saving production scheduling scheme.

Abstract: A method includes finding, in subplant performance data points defined by values of an independent variable and values of a dependent variable, a first point for which a convexity metric of the dependent variable with respect to the independent variable exceeds a threshold, creating a subplant curve by providing a first convex region on a first side of the first point and a second convex region on a second side of the first point, and controlling the campus subplant based on the subplant curve.