Abstract: A management device according to an aspect of the present invention transmits and receives information to and from a relay device that is able to communicate with a field device installed in a plant. The management device includes a storage unit including a first setting storage area configured to store first setting information that is setting information of the relay device and a second setting storage area configured to store second setting information that is setting information of the field device and a first setting management unit that writes the first setting information and the second setting information to the relay device.

Abstract: An electronic component handling apparatus for handling a DUT and pressing the DUT against a socket electrically connected to a tester, including: a temperature adjuster adjusting a temperature of the DUT; a first calculator calculating the temperature of the DUT on the basis of a detection result of a temperature detection circuit disposed in the DUT; a temperature controller controlling the temperature adjuster; and a first controller outputting a first signal to the temperature controller. A temperature control includes a first temperature control based on the temperature of the DUT calculated by the first calculator and a second temperature control, and when the first signal is input from the first controller to the temperature controller after the temperature controller starts the first temperature control, the temperature controller switches the temperature control from the first temperature control to the second temperature control.

Abstract: Systems and methods are directed to a device comprising a product status synchronization device. Examples of the product status synchronization device comprise a plurality of input ports and an encoder input, each of the input ports coupled to one of a plurality of registers and configured to receive a signal indicative of a status assigned to a product by one of a plurality of process stations, and to register the status assigned to the product into the one of the plurality of registers coupled to the input port, wherein one or more of the plurality of process stations are located at different distances from a predetermined location along a processing line and are configured to asynchronously process one or more products moving through the processing line.

Abstract: A machine tool includes a speech input unit that accepts speech from an operator as input, a speech recognition unit that recognizes the speech input into the speech input unit, a status determination unit that determines an operating status of the machine tool when the speech is input into the speech input unit, a display unit, a storage unit that stores a plurality of screens, and a screen selection unit that selects a screen according to a combination of the speech recognized by the speech recognition unit and the operating status of the machine tool determined by the status determination unit from among the plurality of screens, and causes the display unit to display the selected screen.

Abstract: Various embodiments of the present disclosure can include systems, methods, and non-transitory computer readable media configured to train a Bayesian network model based on a given set of data. Information associated with a user can be received. The information can include aggregated energy consumption data at one or more low frequency time intervals. At least a portion of the information can be inputted into the Bayesian network model. A plurality of energy consumption values for a plurality of energy consumption sources associated with the user can be inferred based on inputting the at least the portion of the information into the Bayesian network model.

Abstract: An attitude sensor system with automatic bias correction having a primary attitude sensor wherein the primary attitude sensor comprises at least one accelerometer and an auxiliary sensor system configured to automatically estimate a bias of the accelerometer of the primary attitude sensor such that the resulting error is removed from an output of the attitude sensor system.

Abstract: A method is presented for positioning a workpiece in a workstation. The method includes: transporting a workpiece into a workstation using an automatic guided vehicle, where the workpiece is supported by a workpiece fixture and the workpiece fixture is supported by the automatic guided vehicle; measuring spatial position of the workpiece fixture; removing the workpiece fixture from the automatic guided vehicle using one or more adjustable locators mounted on a frame of the workstation; calculating an adjustment to position of the workpiece fixture between the measured spatial position of the workpiece fixture and a nominal work position; moving the workpiece fixture suing the one or more adjustable locators to the nominal work position according to calculated adjustment; performing an operation on the workpiece while the workpiece fixture remains in the nominal work position; and returning the workpiece fixture to the automatic guided vehicle.

Abstract: A control device includes: a machine learning unit that machine-learns a control parameter that determines operating characteristics of a driving unit of a machine serving as a driving target of a motor and sets the control parameter to a motor control device; a health check operation instruction unit that outputs an instruction for a health check operation of driving the motor control device; an operation evaluation unit that acquires information indicating the operating characteristics of the driving unit, calculates an evaluation value on the basis of an evaluation function, and stores the evaluation value in a storage unit; and a deterioration estimation operation unit that estimates deterioration in the operating characteristics of the driving unit of the machine on the basis of the evaluation value stored in the storage unit and the evaluation value calculated by the operation evaluation unit when the health check operation was performed.

Abstract: Example implementations relate to a leak mitigation system for a cooling system in a computing infrastructure. The leak mitigation system may include tank that is pre-pressurized, a valve unit fluidly coupled to the tank and a cooling loop, and controller operatively coupled to the valve unit. The cooling loop comprises one or more tubes to facilitate a flow of a coolant to cool one or more computing devices. The controller may detect a leak of the coolant from the cooling loop, and in response to detection of the leak of the coolant, the controller may operate the valve unit to establish a fluid coupling between the tank and the cooling loop to transfer at least a portion of the coolant away from the cooling loop.

Abstract: Method for hard machining of a precut and heat-treated gearwheel workpiece using a tool in a gear processing machine, having sensors and/or detectors, comprising: providing target data of the workpiece, determining a first relative movement of the tool relative to the workpiece based on the target data, executing the first relative movement, wherein an NC-controller brings the tool into contact with the workpiece in a controlled manner by the execution of the first relative movement, providing real-time measured values and movement data by means of the sensors and/or detectors during the execution of the first relative movement, performing an analysis of the real-time measured values together with the movement data and determining adapted, workpiece-specific relative movements, hard machining at least one region of a tooth of the workpiece, wherein the NC-controller executes the adapted, workpiece-specific relative movements of the tool relative to the workpiece.

Abstract: A method for an automated configuration of an industrial controller unit comprises sending, from a server system, an instruction message and a verification token to a client device via a first communication network. The instruction message comprises information pertaining to a modification of an industrial controller unit, and the verification token pertains to a completed modification of the industrial controller unit. The method further comprises receiving, at the server system, a verification message pertaining to the verification token, and providing, from the server system, an industrial program and/or a parameter for an industrial program to the industrial controller unit via a second communication network, in response to receiving the verification message.

Abstract: A method for controlling a machine tool includes processing a parts program by executing non-cyclic preprocessing run tasks and cyclic main run tasks, two master values resulting from the executed preprocessing run tasks are stored in a first buffer memory. A first part of a curve table is generated, which includes a first specification that assigns to a first one of the master values a first coupling value for a coupling axis. The respective cycle of the main run tasks to which the first master value is assigned is then executed, whereafter a second part of the curve table is executed, which includes a second specification that assigns a second coupling value for the coupling axis to a second one of the master values. The second part is stored in the second buffer memory. Considerable savings in time and memory are achieved.

Abstract: A method of controlling a rolling mill production system for production of a coil-shaped end product from a slab, the production including processing the slab by sequentially arranged production units, the processing by the production units resulting in a respective strip-shaped product having physical data, the method including modeling, under consideration of the physical data, the processing of a testing product by a plurality of production units arranged downstream from a given production unit while taking into account the physical data. If the modelling shows that, under consideration of the physical data, one of the products resulting from processing by the downstream production units does not meet a predetermined quality criterion, the intended manufacture of the product is interrupted and a signal relating to the interrupting is outputted.

Abstract: An abnormality detection device of a machine tool including a spindle and a feed axis and includes: a load monitoring unit that monitors a load of the spindle or the feed axis; a machining state determination unit that determines that the machine tool is in a machining state when the load of the spindle or the feed axis is equal to or larger than a threshold; a storage unit that stores shape data of the work and shape data of the tool in advance; an interfering area calculation unit that calculates an interfering area in which the tool interferes with the work based on the shape data of the work and the shape data of the tool; and an abnormality detection unit that detects an abnormality in the machine tool by comparing a position of the tool in relation to the work when it is determined that the machine tool is in the machining state with the calculated interfering area.

Abstract: A predictive heating system for a building zone includes building equipment, a temperature sensor, a humidity sensor, and a predictive heating controller. The building equipment is operable to affect an environmental condition of the building zone in a heating mode of operation and a cooling mode of operation. The temperature sensor is configured to measure a temperature of the building zone. The humidity sensor is configured to measure humidify of the building zone. The predictive heating controller is configured to predict an occupancy time of the building zone over a future time period, determine a dehumidification time period before the occupancy time of the building zone, determine a heating time period before the occupancy time of the building zone, operate the building equipment to dehumidify the building zone over the dehumidification time period, and operate the building equipment to heat the building zone over the heating time period.

Abstract: A system for controlling manufacturing of a vehicle door can set a position of the door by predicting a deflection thereof. The system includes a control unit detecting weight data of the door by vehicle model and position range data, generating a door deflection amount and a body deflection amount based on the weight data and the position range data, detecting a gap prediction value and a step difference prediction value according to the door deflection amount and the body deflection amount, and generating a result list including positioning data of the hinge unit if the gap prediction value and the step difference prediction value exist within a quality reference range, and a prediction unit configured to predict the gap prediction value and the step difference prediction value at which the body and the door are spaced apart based on the door deflection amount and the body deflection amount.

Abstract: A method, system and computer-usable medium are disclosed for using table-based groundtruth to train a question-answer (QA) system, comprising: receiving a corpus of text comprising unstructured text and a table; performing QA pair generation operations on the unstructured text and the table to generate QA pairs, the QA pairs being based upon information obtained from the table; assigning a score to each QA pair, the score corresponding to an indicator of user interest.

Abstract: A personal power plant stores energy at the load site from renewable sources and through connection with a utility, enabling the personal power plant to support real time or near real time system load balancing and to eliminate net-metering. The personal power plant determines a charging profile based on predicted energy usage for a next 24-hour period. The personal power plant can provide an indication of the excess amount of electrical energy stored, but not needed for the next 24-hour period. When times of high demand are anticipated, the utility can reallocate energy to other users which it would otherwise provide to participating personal power plants aggregating the excess energy from a plurality of personal power plants. At such times, inverse power generation occurs as the personal power plants do not draw power from the grid which, in aggregation, reduces grid load.

Abstract: A method of additive manufacturing machine (AMM) build process control includes obtaining AMM machine and process parameter settings, accessing sensor data for monitored physical conditions in the AMM, calculating a difference between expected AMM physical conditions and elements of the monitored conditions, providing the machine and process parameter settings, monitored conditions, and differences to one or more material property prediction models, computing a predicted value or range for the monitored conditions, comparing the predicted value or range to a predetermined target range, based on a determination that predicted value(s) are within the predetermined range, maintaining the machine and process parameter settings, or based on a determination that one or more of the predicted value(s) is outside the predetermined range, generating commands to compensate the machine and process parameter settings, and repeating the closed feedback loop at intervals of time during the build process.

Abstract: The present application concerns a system for tracing a product item (102, 104) on a production line (100) comprising a control unit (10) and a timestamp counter (11), wherein the control unit (10) is configured to receive a product signal related to the product item (102, 104) from at least one peripheral device (12, 14, 16, 18, 20, 22, 24, 26). According to the invention, the control unit (10) is further configured to carry out the method steps of receiving a plurality of product signals each relating to a product item (102, 104) and a peripheral device (12, 14, 16, 18, 20, 22, 24, 26), generating a plurality of event signals, wherein each event signal is based on one of the product signals, arranging the event signals in a sequence corresponding to an order in which the product signals were received, and associating a timestamp generated by the timestamp counter (11) with the sequence.