Abstract: Method and device for controlling a machine in accordance with to multiple control objectives in which machine control is based on automated learning of subordinate control skills, wherein the device provides multiple subordinate control skills which are each assigned to a different one of the multiple control objectives, the device provides multiple learning processes that are reinforcement learning processes that are each assigned to a different one of the multiple control objectives and are configured to optimize the corresponding subordinate control skill based on input data received from the machine, and where the device is configured to determine a superordinate control skill based on the subordinate control skills and to control the machine based on the superordinate control skill.

Abstract: The present disclosure discloses an Industrial Internet of Things, a control method, and a medium for automatically controlling working parameters of a manufacturing device.

Abstract: An industrial gateway device supports interactive feature engineering tools that guide a user through an intuitive process for configuring data analytics for key performance indicators (KPIs) of interest. A feature engineering interface renders an interactive model view that displays available data points such that the data points are organized hierarchically according to plant, machine, machine property, or other elements. The user can select, from this model view, data points having an impact on the KPI of interest. The interface also allows the user to define an executable script that defines a mathematical relationship between the selected data points and the KPI. This configuration yields an output model that defines a reduced set of data points to be collected and analyzed, as well as an executable script for assessing a state of the KPI as a function of the reduced data point values.

Abstract: This disclosure relates to a method and system for regime-based process optimization of various assets of industrial manufacturing and process plants or units. Operating regimes of assets are identified and a regime similarity score of each asset is computed from regime sequences of integrated industrial data and compared with a given threshold to identify regimes of operation. Operating regimes are matched with regimes of regime database and industrial assets and similar operating regimes are group together. Process optimization is carried out for each group of industrial assets to identify optimum settings in order to maximize output or minimize loss/cost considering process and equipment constraints. Anomalies are analyzed in the unmatched operating regimes and a diagnosis is carried out to identify the root cause for any detected anomalies. Remaining useful life of components in the assets with unmatched operating regimes is estimated to ensure component reliability and to prevent failure.

Abstract: The present invention provides a technology for generating an NC program which can secure appropriate machining accuracy. Provided is a conversion computer 10 which includes a CPU 11 and generates an NC program for a turning process for a workpiece on a lathe, wherein the CPU 11 is configured to generate an NC program such that displacements caused for a workpiece to be processed on a plurality of machining positions at a time of a turning process are calculated, on the basis of the displacements caused for the workpiece on the plurality of machining positions, a movement path of a tool to be used at the time of the turning process is decided, and the tool is moved through the decided movement path.

Abstract: A method and switch module are for operating a load zone on a power grid. In an embodiment of the method, at least one load profile is captured and stored during setup operation of the load zone, documenting a temporal progression of a load zone current or voltage in a time window after closing of the current path. Based on the at least one load profile, a tolerance range for the temporal progression of at least one operating parameter of the load zone in the time window is defined. During normal operation of the load zone, the temporal progression of the at least one operating parameter in the time window after closing the current path is monitored and the load zone is disconnected from the power grid upon the temporal progression of an operating parameter in the time window, after closing the current path, being outside the tolerance range.

Abstract: A machining condition search device according to the disclosure includes a machining condition generation unit, a practical machining command unit, a machining evaluation unit, a prediction unit, an optimum machining condition calculation unit. The machining condition generation unit generates a machining condition defined by one or more control parameters settable on a machining apparatus. The practical machining command unit causes the machining apparatus to perform machining based on a generated machining condition. The machining evaluation unit generates an evaluation value of performed machining, on the basis of information indicating a machining result of the performed machining. The prediction unit predicts an evaluation value corresponding to a machining condition under which machining is not performed, on the basis of the evaluation value and the machining condition corresponding to the evaluation value.

Abstract: A method of predicting sequence for a manufacturing process to assemble a product includes obtaining a target plan for the manufacturing process. The target plan defines a process segment to be performed during the manufacturing process. The method includes retrieving a plurality of surrogate process segments based on the target plan, determining, for each surrogate process segment from the plurality of surrogate process segments, a segment similarity value based on at least one of a textual similarity and a sequence similarity between the surrogate process segment and the process segment of the target plan, and generating a target process defining a process sequence for performing the manufacturing process based on the segment similarity values of the plurality of surrogate process segments and a sequence inference model.

Abstract: Power tools described herein include a housing, a motor supported by the housing, a battery pack configured to provide electrical power to the power tool, a user input configured to provide an input signal corresponding to a target speed of the motor, a plurality of sensors supported by the housing and configured to generate sensor data indicative of an operational parameter of the power tool, and an electronic controller. The electronic controller includes an electronic processor and a memory. The memory includes a machine learning control program for execution by the electronic processor. The electronic controller is configured to receive the target speed, receive the sensor data, process the sensor data using the machine learning control program, generate, using the machine learning control program, an output based on the sensor data, the output including one or more field weakening parameters, and control the motor based on the generated output.

Abstract: Embodiments of the present disclosure provide a method, an Internet of Things system, and a storage medium for smart gas data management. The method includes: obtaining at least one type of raw gas data uploaded by at least one platform in the IoT system, wherein the raw gas data includes at least one of gas transportation data, gas pipeline data, and gas equipment data; evaluating a time reliability and a data reliability of the at least one type of the raw gas data; and generating at least one storage instruction based on the time reliability and the data reliability of the at least one type of the raw gas data to store the raw gas data in a corresponding data storage area.

Abstract: Method comprising: designing a gear in a software-based computer-aided manner in order to obtain a function-oriented geometry, using a software-based computer-aided method for ascertaining a theoretically producible gear geometry corresponding to or an approximation of the function-oriented geometry, providing production data representing the theoretically producible geometry, machining a gear using the production data in a CNC-controlled processing machine, measuring the gear to obtain an actual data set of the gear, carrying out a comparison of the actual data set with the production data in order to ascertain at least one correction variable, using the correction variable in order to ascertain corrected production data from the production data or carry out a machining correction in the processing machine, and post-machining the gear using the machining correction or using the corrected production data in order to machine at least one additional gear in the processing machine.

Abstract: Systems, methods, and other embodiments associated with detecting feedback control instability in computer thermal controls are described herein. In one embodiment, a method includes for a set of dwell time intervals, wherein the dwell time intervals are associated with a range of periods of time from an initial period to a base period, executing a workload that varies from minimum to maximum over the period on a computer during the dwell time interval; recording telemetry data from the computer during execution of the workload; incrementing the period towards a base period; determining that either the base period is reached or a thermal inertia threshold is reached; and analyzing the recorded telemetry data over the set of dwell time intervals to either (i) detect presence of a feedback control instability in thermal control for the computer; or (ii) confirm feedback control stability in thermal control for the computer.

Abstract: A five-axis linkage synchronous tool path interpolation method and system, which utilizes the strict proportional coefficient relationship between points, control points and parameters on the first-order derivative curve of the spline curve, more accurate tool axis path curve interpolation points from the parameters of the tool tip path curve are calculated. There is no need to calculate the tool axis path curve interpolation points according to interval synchronization. It is not affected by the shape consistency of the tool tip path curve and the tool axis path curve.

Abstract: An environmental temperature change prediction device includes an environmental temperature acquisition unit, an outside temperature acquisition unit, a plant environment pattern setting unit, a prediction model generating unit, and an environmental temperature change prediction unit. The environmental temperature acquisition unit measures a machine body temperature. The plant environment pattern setting unit defines in advance a classification rule for classifying change trends of the environmental temperature into a plurality of patterns based on data of the environmental temperature and the plant outside temperature and environmental temperature prediction models. The prediction model generating unit selects the applicable plant environment pattern and determines a parameter of the environmental temperature prediction model corresponding to the selected plant environment pattern.

Abstract: This present disclosure provides a method for regulating a rated outlet pressure of a gate station compressor for smart gas, which is implemented based on an Internet of Things system for regulating a rated outlet pressure of a gate station compressor for smart gas. The method includes: obtaining user features of a downstream gas usage based on the smart gas object platform, the user features including at least a user type and at least one of downstream flow prediction values of a plurality of future moments, wherein the downstream flow prediction values are obtained by a downstream flow prediction model based on a historical downstream flow sequence; obtaining operation parameters of a compressor, the operation parameters including at least a rated outlet pressure set by the compressor; and determining a rated outlet pressure adjustment amount of the compressor based on the user features and the operation parameters.

Abstract: A method and system for milling or engraving a workpiece provides improved throughput by varying one or both of a track speed or a rotational rate of a rotary cutting tool as the cutting tool cuts along a track. Multiple indications of material hardness are determined at a surface of the workpiece, movement of the cutting tool along a tool track is programmatically controlled to remove material from the workpiece, and one or both of a rotational rate of the tool or a track speed of the tool is adjusted along the tool track in conformity with the indications of material hardness, so that the rotational rate of the tool and/or the track speed is reduced at locations with harder material and increased at locations with softer material along the tool track.

Abstract: To provide a PLC having a data collection function and a data display screen generation function. The PLC includes: a collection section that collects a symbol value stored in a symbol, which is a device or a variable serving as a collection target, according to the application program; a determination section that determines whether or not the symbol value collected by the collection section according to the application program satisfies a normal condition set for the application program to detect a status different from usual regarding the symbol value; and a generation section that generates a display screen including a determination result of the determination section and information indicating the symbol value collected by the collection section according to the application program.

Abstract: A method for detecting and compensating CNC tools being implemented in an electronic device, receives from a detector first parameters and second parameters in respect of a first tool. Such first parameters include at least one of service life, blade break information, and blade chipping information of the first tool, and such second parameters include at least one of length extension information, length wear information, radial wear information, and blade thickness wear information of the first tool. Based on the first parameters, instructions to process the workpiece are transmitted or not. Upon receiving the second parameters, instructions to adjust operation of the first tool are transmitted, to compensate for deterioration in normal use.

Abstract: A method for displaying a sequence of workpiece-illustrations and/or order information for supporting a sorting process during manufacturing of workpieces with a manufacturing system includes transporting manufactured workpieces with the conveyor system to the sorting point according to a sequence and arrangement specified by the processing plan. The method further includes receiving, in the processor of the display unit, workpiece image data and/or order data provided by the machine tool control system for the workpieces transported to the sorting point. The method additionally includes displaying the workpiece image data and/or the order data on the monitor of the display unit in a sequence and/or an arrangement such that the sequence and/or the arrangement of the workpiece image data and/or the order data corresponds to the sequence and/or the arrangement of the workpieces transported from the conveyor system to the sorting point.

Abstract: A method and an associated controller for safely operating a multi-axis kinematic system by using a safety function are disclosed. The method includes calculating compensation values at the run time of a controller of the multi-axis kinematic system, wherein the calculation is performed based on predefinable error values of respective axes, geometric parameters of the multi-axis kinematic system, and current axis values of the multi-axis kinematic system. The method further includes operating the safety function based on the calculated compensation values.