Abstract: An energy supply chain management and optimization system comprises an energy system comprising a plurality of inter-connected micro-grids connected to at least one macro-grid. The energy system connects to one or more cloud servers comprising at least one processor and memory storing computer code which, when executed by the at least one processor, implements a persistent virtual world system mapped according to the real world and comprising a plurality of virtual objects including at least one virtual replica of a corresponding real world element. The memory further stores a decentralized energy management system connected to the persistent virtual world system, comprising at least an energy control system configured to, through the virtualization of reality in the persistent virtual world system, digitally control energy flows based on data received from the energy system, and an energy market platform enabling energy aggregation and exchange between energy-related devices.

Abstract: A method for computer analysis of a quality of an as-programmed surface of a composite laminate. A first data set representing an as-programmed top surface is generated based on as-programmed ply definitions and a tool surface definition. Thereafter, a second data set representing coordinates of points of a first mesh on the as-programmed top surface is generated, which points form a first mesh. Then a third data set representing coordinates of points of a second mesh on a defined tool surface is generated. A respective angle of each mesh element of the first mesh relative to a corresponding mesh element of the second mesh is then calculated. Each angle is compared to a threshold of acceptable angle. In response to an acceptable number of angles exceeding a threshold of acceptable angle, a tow placement machine may be programmed to fabricate a composite structure using the as-programmed ply definitions.

Abstract: A method includes receiving trace sensor data associated with a first manufacturing process of a processing chamber. The method further includes processing the trace sensor data using one or more trained machine learning models that generate a representation of the trace sensor data, and then generate reconstructed sensor data based on the representation of the trace sensor data. The method further includes comparing the trace sensor data to the reconstructed sensor data. The method further includes determining one or more differences between the reconstructed sensor data and the trace sensor data. The method further includes determining whether to recommend a corrective action associated with the processing chamber based on the one or more differences between the trace sensor data and the reconstructed sensor data.

Abstract: The present invention relates to a control device 200 for use on a numerically controlled machine tool 100, comprising a machine control unit 230 for controlling actuators of the machine tool for a machining process for a workpiece to be performed on the machine tool 100, in particular on the basis of control data, and a monitoring unit 250 for monitoring an operating state of the machine tool 100. In accordance with the invention, the monitoring unit 250 has a computer-implemented neural network 253 (NN), which in particular is designed to read input data from the machine control unit 230 and to output output data specifying an operating state of the machine tool 100.

Abstract: A molding machine management system includes: an injection molding machine including a mold, an injection unit, and a mold clamping unit; a management server coupled to the injection molding machine via a network; a first camera configured to capture an image of the mold; a second camera configured to capture an image of a drive unit provided in the injection molding machine; and a storage unit that stores first moving image data which is moving image data of the mold captured by the first camera, and second moving image data which is moving image data of the drive unit captured by the second camera, in association with a shot number of the injection molding machine. The management server includes a control unit configured to cause a display unit to display the first moving image data and the second moving image data in association with the shot number.

Abstract: A method of additive manufacturing, comprises: dispensing from an array of nozzles an amount of building material formulation to form a layer in a configured pattern corresponding to a shape of a slice of an object, and hardening the layer. Based on the amount and a geometrical characteristic of the slice, a thermal mass of the layer is calculated. A cooling system is controlled in a closed loop control responsively to the calculated thermal mass.

Abstract: A method for configuring an apparatus for providing structures to a layer on a substrate, the method including: obtaining first data including substrate specific data as measured and/or modeled before the providing of the structures to the layer on the substrate; and determining a configuration of the apparatus for at least two different control regimes based on the first data and the use of a common merit function including parameters associated with the at least two control regimes.

Abstract: A method for managing electrical loads includes monitoring current of the branch circuits to determine an electricity demand of the branch circuits. The method includes comparing an available supply with the electricity demand. Each of the branch circuits are connected to the available supply by a circuit breaker that requires manual reset (e.g., if tripped) connected in series with a controllable relay. The method includes controlling the controllable relays to connect and disconnect the branch circuits from the available supply.

Abstract: The control system includes: a plurality of controllers that respectively control a plurality of devices including at least robots; and an environment manager that is communicable with the plurality of controllers. The environment manager includes an environment information storage that stores environment information, and an information update unit that updates environment information according to an operation of the plurality of devices. Each of the plurality of controllers includes a condition monitor that monitors whether environment information stored in the environment device storage satisfies a predetermined condition and an operation execution unit that controls a corresponding device of the plurality of devices to execute a predetermined operation in a case where the environment information satisfies a predetermined condition.

Abstract: A system REG for regulating a physical parameter of a real turbomachine system F(p) from a physical setpoint parameter, the regulation system REG comprising a system OPTK for optimising the parameterisation gain K during the regulation, the optimisation system OPTK comprising a stability correction module determining a first gain component K1, a response time correction module determining a second gain component K2, the stability correction module being designed to inhibit the response time correction module when an instability is detected during the regulation of the physical parameter, and a determination module configured to determine the parameterisation gain K as a function of the previously determined first gain component K1 and second gain component K2.

Abstract: To infer dynamic control information on a controlled object. An inferring device includes one or more memories and one or more processors. The one or more processors are configured to: input at least data about a state of a controlled object and time-series control information for controlling the controlled object, into a network trained by machine learning; acquire predicted data about a future state of the controlled object controlled based on the time-series control information via the network into which the data about the state of the controlled object and the time-series control information have been input; and output new time-series control information for controlling the controlled object to bring the future state of the controlled object into a target state based on the predicted data acquired via the network.

Abstract: A calibration method for machine tools comprises: providing a workpiece on a machine tool; rotating the workpiece around a first rotation axis parallel to a main shaft of the machine tool and processing the workpiece by a first machining mode; measuring a first dimensional error of a shape of the workpiece along directions of first and second linear axes perpendicular to the first rotation axis; calculating a positional error of the first rotation axis according to the first dimensional error; rotating the workpiece around a second rotation axis perpendicular to the main shaft and processing the workpiece by a different second machining mode; measuring a second dimensional error of the shape of the workpiece along a direction of a third linear axis perpendicular to the second rotation axis; calculating a positional error of the second rotation axis according to the second dimensional error.

Abstract: A method and a user device (10) for adapting a signaling of the field device (100) that can be displayed via a signal display (102) of a field device (100) are proposed. For this purpose, an user device (10) is used to define a color tone of at least one display element (104) of the signal display (102) of the field device (100), an attribute is assigned to the defined color tone of the at least one display element (104) of the signal display (102), wherein the attribute represents a meaning of the determined color tone for indicating a state of the field device (100), and a control signal is transmitted from the user device (10) to the field device (100), wherein the control signal contains information regarding the determined color tone and regarding the attribute associated with the determined color tone.

Abstract: Embodiments provide methods, apparatuses, and systems for cutting wood workpieces, such as logs and cants, into desired products. In various embodiments, after a log is chipped into a cant, the cant may be scanned and re-optimized based on the new scan data and information about the source log, such as simulated orientation parameters, a 3D model, and/or potential cut solutions. In other embodiments, data from multiple sensor types may be used in combination to detect splits in logs, cants, or both. Optionally, re-optimization and split detection techniques may be used in combination to improve wood volume recovery, value, and/or throughput speed.

Abstract: A method for selectively irradiating a material layer in additive production. The method includes: providing geometry data having geometry information of individual layers of a component that is to be produced by additive means, and defining an irradiation pattern for the layers by a computer-supported production method, wherein the irradiation pattern has a contour and a surface region in layers, wherein first contour vectors of the contour are specified for continuous irradiation operation and second contour vectors of the contour are specified for pulsed irradiation operation. A method for providing a data set, an additive production method, a corresponding device and a corresponding computer program product selectively irradiate a material layer in additive production.

Abstract: A method for evaluating a subterranean wellbore includes rotating a drill string in the subterranean wellbore. The drill string includes a rotary steerable tool, a steerable drill bit, or other rotary steering tool with at least one pad configured to extend radially outward from a tool body and engage a wall of the wellbore. Radial displacements of the pad are measured while rotating and processed to compute a curvature of the wellbore.

Abstract: The present disclosure provides a self-adaptive test method for an intelligent prediction algorithm of analog measured values. Firstly, an event recording sequence, an analog measurement point ID and an analog measurement point alarm value are read from a time sequence event record table, an analog measurement point table and an alarm threshold table. Next, operation records of a normal operation state of a unit within a statistical cycle are acquired to form historical statistics of measured values of the analog measurement point based on switching value signals. Then, simulated measured values of the analog measurement point with time scales are calculated based on the historical statistics, the analog measurement point alarm value and an analog measurement point current measured value. Finally, sensitivity is calculated; and an alarm is sent to remind a technician to adjust the algorithm when the sensitivity is greater than a threshold.

Abstract: The invention relates to a method and system to generate control logic for performing industrial processes with a controller in a process plant. The method includes receiving a control narrative comprising one or more control requirements of the industrial process, and extracting a plurality of control entities and a plurality of set points, from the control narrative using one or more sets of predetermined regular expressions and one or more models. The method further includes identifying a set of inputs, outputs and control elements from the plurality of control entities using a domain dictionary, detecting a plurality of actions from the control narrative using an intent classifier, identifying a relationship between the set of inputs, outputs and control elements, the plurality of set points, and the plurality of actions, and generating based on the relationship identified the control logic for the controller to perform the process.

Abstract: The present invention relates to method of measuring patient-specific temporomandibular joint relation and transferring it into a virtual articulator by using a device comprising: a transfer linkage which can be attached from its upper end to a face bow; an impression means for holding impression material and for taking the impression of the upper jaw and/or the lower jaw of the patient through said impression material; at least a first form-fitting component fixed at the lower end of the transfer linkage, for leaving an impression on the impression material to be placed on the grip of the impressions means projecting out of the mouth of the patient.

Abstract: To determine a quality indicator of production batch-run of a production process, a computer compares time-series with multi-source data from a reference batch-run and time-series with multi-source data from the production batch-run. Before comparing, the computer converts multi-variate time-series to uni-variate time-series, by first multiplying data values of source-specific uni-variate time-series with source-specific factors from a conversion factor vector and second summing up the multiplied data values according to discrete time points. The source-specific factors of the conversion factor vector are obtained earlier by processing reference data, including the determination of characteristic portions of the time-series, converting, aligning by time-warping and evaluating displacement in time between characteristic portions before alignment and after alignment.