Abstract: First data associated with a first process performed for a first layer of a substrate is identified. The first layer is to be further processed according to a second process. The first data is provided as input to a machine learning model that is trained to predict metrology measurement values for layers of substrates at the manufacturing system. An amount of drift of a first set of metrology measurement values for the first layer following completion of the first process and/or the second process from target values is determined. Modifications to a recipe for the second process is determined in view of the determined amount of drift and second data associated with a second substrate layer that was previously processed at the manufacturing system. The second process is updated based on the determined one or more modifications.

Abstract: A numerical controller executes a system program. While executing the system program, the numerical controller executes a sub-program. On the basis of the execution of the sub-program, the numerical controller controls position-controlled shafts of a machine tool controlled by the numerical controller. The sub-program contains instruction sets which are retrieved sequentially one after the other by the numerical controller. The numerical controller only executes the retrieved instruction sets when the instruction sets comply with permitted boundary conditions. Otherwise, the instruction sets are not executed. Before executing the sub-program and while executing the system program, the numerical controller receives information defining the permitted boundary conditions via an interface protected from unauthorized access.

Abstract: A method and a device for controlling the delivery rate of a concrete pump for filling a formwork arrangement with a pumpable filling compound as a function of curing-relevant material and environmental parameters, after which the installed filling compound sets within the formwork arrangement, comprising the following steps: determining a permissible climbing speed for filling the formwork arrangement with the filling compound on the basis of the material and ambient parameters, measuring the static filling compound pressure acting on the formwork arrangement during filling, and calculating the permissible delivery rate of the concrete pump as a function of the determined permissible rate of ascent and the measured static filling compound pressure at the formwork arrangement.

Abstract: A probabilistic feedback controller for controlling an operation of a robotic system using a probabilistic filter subject to a structural constraint on an operation of the robotic system is configured to execute a probabilistic filter estimates a distribution of a current state of the robotic system given a previous state of the robotic system based on a motion model of the robotic system perturbed by stochastic process noise and a measurement model of the robotic system perturbed by stochastic measurement noise having an uncertainty modeled as a time-varying Gaussian process represented as a weighted combination of time-varying basis functions with weights defined by corresponding Gaussian distributions. The probabilistic filter recursively updates both the distribution of the current state of the robotic system and the Gaussian distributions of the weights of the basis functions selected to satisfy the structural constraint indicated by measurements of the state of a robotic system.

Abstract: Provided herein are a numerical control mechanism, a tool replacement equipment and a tool replacement method, which are used for disassembling a first tool and preparing a second tool according to a tool replacement task and replacing the first tool with a second tool, so as to realize automatic tool replacement, reduce manpower and machine waiting time for the tool replacement, and improve the tool replacement efficiency.

Abstract: A system and method perform automatic switching of multiple vendor controllers with an interfaced input/output device. The method comprises storing parameters in a memory, wherein the parameters specify each type of instrument controller in a respective one of a plurality of vendor classes, and automatically switching a signal between an instrument and at least one of a first instrument controller of a first vendor class and a second instrument controller of a second vendor class using the parameters, wherein the first vendor class and the second vendor class are different. The system and an automatic input/output switch controller implement the method.

Abstract: A device actuation system for actuating a treatment device includes a first drive gear rotatably mountable to the treatment device, a coupler rail slidably mountable to the treatment device, a second drive gear rotatably mountable to the coupler rail, and a coupler gear rotatably mountable to the treatment device and engageable with the coupler rail. In addition, the device actuation system includes a drive rail locatable between the first drive gear and the second drive gear of the gear system. The coupler gear is rotatable to move the coupler rail in a manner maintaining the second drive gear in continuous engagement with the drive rail against the first drive gear. The first drive gear and the second drive gear are rotatable in a manner causing at least one of translation and rotation of the treatment device relative to the drive rail.

Abstract: A building management system with artificial intelligence based control of a building includes data collectors are configured to receive data and generate data streams for subsystems of the building. The system includes a learning engine configured to identify a building state of the building by correlating data of the data streams for the subsystems and provide the identified building state to cognitive agents. The system includes the cognitive agents, each of the cognitive agents configured to receive the identified building state from the learning engine, generate a control decision based on the received building state, and operate at least one of the plurality of subsystems of the building to control a physical condition of the building based on the control decision.

Abstract: A method for recognition and compensation of an offset measure between stamping coordinates of a stamping device and laser coordinates of a laser device in a combined stamping-laser machine for processing a plate-shaped workpiece, particularly a metal sheet, includes introducing a structure into the plate-shaped workpiece by respectively using the stamping device or the laser device. A measurement variable of the introduced structure is determined respectively by the laser device or the stamping device. The measurement variable is compared with an expected variable, and a deviation of the measurement variable from the expected variable corresponds to an offset measure. The offset measure is balanced with the coordinates of the laser device in the laser coordinate system or with the coordinates of the stamping device in the stamping coordinate system in order to compensate for the offset measure between the stamping coordinates and the laser coordinates.

Abstract: A system, method, and device for automated precision control of a computer numerical control (CNC) machine to a workpiece. The system receives via at least one visual input device at least one detectable marking on a workpiece. The system decodes the at least one detectable marking and determines a stored and pre-defined movement routine of a cutting element attached to the CNC machine relative to the workpiece based on the at least one marking. The system then determines, using the at least one visual input device and/or another visual input device, a current position of a working end of the cutting element relative to the at least one marking. Finally, the system performs the pre-defined movement routine including cutting into the workpiece with the cutting element.

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: 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: 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.