Abstract: The present invention discloses a thermal protection and warning method and system based on junction temperature prediction for a power device of an offshore wind power converter. The method includes: calculating a thermal resistance and a thermal capacitance corresponding to each layer inside the power device, and establishing a corresponding Cauer thermal network model; calculating power consumption at n future moments according to state variables at the n future moments corresponding to a minimized cost function, that is, calculating a variation trajectory of a heat flux parameter; calculating a variation trajectory of a junction temperature of the power device according to the Cauer thermal network model and the variation trajectory of the heat flux parameter; and comparing the calculated variation trajectory of the junction temperature with a warning temperature, and determining a current operating state of the power device.

Abstract: A method may include obtaining a plurality of historical drilling signals for a plurality of wells and generating a plurality of drilling parameters from the plurality of historical drilling signals of drilling activities of the plurality of wells into one real-time database of a computer processor. The method further includes applying Fourier Transform to decompose a plurality of functions into the plurality of drilling parameters and determining an optimum drilling parameter based on one or more optimized drilling parameters. The method further includes recomposing the plurality of functions to automate drilling activities for new wells by generating trends of the one or more optimized drilling parameters and using the trends in the drilling activities. The method further includes creating Key Performance Indexes (KPIs) for the plurality of optimized drilling parameters to evaluate performance and monitor the drilling activities in real time using machine learning algorithms.

Abstract: A method includes obtaining, by a downhole tool, a first shape of sensor data representing one or more characteristics of a wellbore, comparing, by the downhole tool, the first shape with a set of pre-determined reference shapes stored in a downhole memory to select a pre-determined reference shape that can be imposed on the first shape, calculating one or more delta values between the first shape and the selected pre-determined reference shape, and transmitting, by the downhole tool, the pre-determined reference shape and the delta values to a processor at a surface of the wellbore.

Abstract: Provided are a method and system of analyzing ingredients of an artificial rainfall for verification of a cloud seeding effect. As the method and system, which can verify an effect of the artificial rainfall in such a manner that a seeding material becomes different according to each temperature of clouds at a seeding altitude, water sampling from precipitation is performed before and after seeding, and thus the ingredients of a water sample are analyzed using each of a method of analyzing a heavy metal component and a method of analyzing a water-soluble ion component according to a cool cloud and a warm cloud so that whether or not there is a change in each concentration of the ingredients can be determined, are provided, an experiment for the artificial rainfall can more effectively be performed.

Abstract: An abnormality detection device detects an abnormality of a device based on time-series data acquired from a device having a movable part. The abnormality determination device determines whether time-series data at a specific time have increased or decreased with respect to time-series data from a certain time prior to the specific time as the specific time is shifted, indicates an increase or decrease of the time-series data by defined numerical values, and detects an abnormality of the device based on integrated values obtained by integrating the defined numerical values.

Abstract: The present disclosure provides a method and a system for safety monitoring of gas facilities in a comprehensive pipeline gallery based on IoT, the method includes: obtaining first monitoring data of a gas cabin and second monitoring data of other cabins from at least one monitoring position combination; determining a joint risk of the one or more first monitoring positions based on the first monitoring data and the second monitoring data; determining a maintenance parameter and/or adjusting at least one monitoring parameter based on the joint risk; generating at least one adjustment instruction based on adjustment amount of the monitoring parameter, determining an adjustment priority of the at least one monitoring parameter based on a data uploading intensity of the gas cabin, sending the at least one adjustment instruction to the corresponding one or more first monitoring positions based on the adjustment priority sequentially.

Abstract: The disclosure includes embodiments for improving quality of service for a vehicular plug-and-play ecosystem. A method according to some embodiments includes receiving environment data describing an environmental condition of a vehicle sensor. The method includes determining a quality of service value for the vehicle sensor based on the environment data. The method includes determining a corrected sensor measurement for the vehicle sensor based on the quality of service value. In some embodiments, the vehicle sensor includes a non-transitory memory that stores digital data that describes the environmental condition and the quality of service value for the vehicle sensor when it operates in the environmental condition. In some embodiments, the quality of service value is a factor that corrects the sensor measurement of the vehicle sensor when it operates in the environmental condition.

Abstract: The method for measuring thickness, roughness and interface stiffness of coating layer by using ultrasonic phase derivative spectrum which relates to technical field of the ultrasonic non-destructive testing. The method adopts an ultrasonic detection system which includes a sample of the coating layer, an ultrasonic flat probe, an ultrasonic flaw detector, a XYZ three-dimensional stepping device and a computer.

Abstract: A system for monitoring a fill level of a container includes a wireless module disposed on the container including an enclosure, a processor and a wireless transceiver disposed within the enclosure, and a cable mounted to the enclosure. A solar panel is integrated into a surface of the enclosure and is configured to provide power to the processor. A first pressure sensor is attached to an end of the cable distal from the enclosure and a second pressure sensor is attached to an opposite end within the enclosure. The enclosure is mounted outside of the container. The cable is inserted into the container such that the first pressure sensor is disposed near a bottom of the container. The first pressure sensor measures a pressure at the bottom of the container. The second pressure sensor measures a pressure outside of the container. The readings from the first pressure sensor and the second pressure sensor are cross-correlated to determine a net pressure for use in calculating the fill level of the container.

Abstract: A tire replacement forecasting system includes a tire supporting a vehicle. A sensor unit is mounted on the tire and includes a footprint centerline length measurement sensor and a pressure sensor. A processor is in electronic communication with the sensor unit and receives the measured centerline length and the measured pressure. An electronic vehicle network transmits selected vehicle parameters to the processor. A wear state predictor is stored on the processor and receives the measured centerline length, the measured pressure, and the selected vehicle parameters to generate an estimated wear state of the tire. A forecasting model is stored on the processor and receives multiple estimated wear states of the tire, and predicts future wear states of the tire. A forecast tire replacement date is generated by the forecasting model when the predicted future wear states of the tire are estimated to pass a predetermined wear threshold.

Abstract: An object recognition apparatus includes a light source, an image sensor, a control circuit, and a signal processing circuit. The control circuit causes the light source to emit first light toward a scene and subsequently emit second light toward the scene, the first light having a first spatial distribution, the second light having a second spatial distribution. The control circuit causes the image sensor to detect first reflected light and second reflected light in the same exposure period, the first reflected light being caused by reflection of the first light from the scene, the second reflected light being caused by reflection of the second light from the scene. The signal processing circuit recognizes an object included in a scene based on photodetection data output from the image sensor, and based on an object recognition model pre-trained by a machine learning algorithm.

Abstract: A data processing system is for producing a weather report. The data processing system may include external weather event databases, each external weather event database having a different weather event data set, and a server in communication with the external weather event databases. The server may be configured to import the different weather event data sets from the external weather event databases, perform a filtering process on the different weather event data sets from the external weather event databases, and generate the weather report based upon the filtered different weather event data sets from the external weather event databases and a geolocation.

Abstract: A monitoring method and a monitoring system for a machine tool to machine a workpiece are provided. The monitoring method includes the following steps. First, a vibration signal of a spindle of the machine tool is detected. Next, a vibration feature value of the vibration signal is obtained. Whether the vibration feature value exceeds a threshold condition is determined, wherein the threshold condition is determined by a training model based on a predetermined surface quality of the workpiece. When the vibration feature value exceeds the threshold condition, a machining parameter of the machine tool is adjusted.

Abstract: A system for monitoring a battery of a vehicle includes a current measuring circuit to measure a current of the battery comprising a plurality of cell groups connected to each other. A voltage measuring circuit is to measure voltages of the cell groups. A controller is configured to define a plurality operating regions in a current profile of the battery during a drive cycle of the vehicle. The controller is configured to filter the current and the voltages measured in the operating regions and calculate internal resistances of the cell groups in the operating regions based on the filtered current and voltages. The controller is configured to generate statistical values based on the internal resistances of the cell groups and determine whether one or more of the cell groups is faulty based on differences between maximum and minimum values of one of the statistical values across the cell groups.

Abstract: A method of controlling a substrate transfer system including a transfer mechanism having a holder, and a measurement part that detects an outer periphery of the substrate to measure a center position of the substrate, thereby transferring the substrate to a target position, includes: correcting the target position based on an amount of positional deviation between a reference position of the holder and the center position of the substrate, a first amount of thermal displacement of the reference position of the holder by thermal expansion of the transfer mechanism at a measurement position where the outer periphery of the substrate is detected, and a second amount of thermal displacement of the reference position of the holder by the thermal expansion of the transfer mechanism at the target position; and controlling the transfer mechanism such that the reference position of the holder becomes the corrected target position.

Abstract: According to one embodiment, an information processing device includes a first processor configured to calculate, based on first information indicating a target time point at which weather prediction data is to be acquired and which is a relative time point with respect to a first time point, second information indicating the target time point being a relative time point with respect to a second time point at which weather prediction is started by a prediction device, the prediction device being configured to generate weather prediction data through weather prediction.

Abstract: Methods, systems, and computer-readable medium to perform operations including: generating a first time-frequency spectrum of a first seismic trace from an original seismic dataset; generating a second time-frequency spectrum of a second seismic trace from an enhanced seismic dataset, where the second seismic trace corresponds to the first seismic trace; and re-combining an amplitude spectrum of the first time-frequency spectrum and a phase spectrum of the second time-frequency spectrum to generate a third time-frequency spectrum of an output trace that corresponds to the first and second seismic traces.

Abstract: A fracturing system includes an energy storage having a battery and a switch, a switch cabinet, a plurality of transformers, a plurality of rectifiers, and a plurality of inverters respectively corresponding to and connected with a plurality of fracturing apparatuses. The switch cabinet is connected with the plurality of transformers. The plurality of transformers are respectively connected with the plurality of rectifiers. Each of the plurality of rectifiers is directly connected with a DC bus and the energy storage. The DC bus is directed connected to the plurality of inverters. The energy storage is directly electrically connected with the DC bus or each of the plurality of inverters. The energy storage is configured to power the plurality of fracturing apparatuses.

Abstract: A fruit-on-tree sizing device includes a lower annular disc and an upper annular disc, from which first flexible arms and second flexible arms, with curved configuration, start internally, in opposite directions, and which respectively form a lower opening and an upper opening wherein the fruit is positioned. As the diameter of the fruit increases, the first flexible arms and the second flexible arms force the upper annular disc and the lower annular disc to rotate on themselves, in opposite directions. The device further includes a reading module intended for quantifying the relative movement of the upper annular disc with respect to the lower annular disc, and transmitter which transmits the measurements obtained to an external device.

Abstract: A method of forecasting transport of a region of plasma density enhancement within a polar region is provided. The method comprises: providing a convection model for predicting electrostatic potential distribution within the polar region over time; determining the total electron content distribution within the polar region; and determining whether reconnection is occurring. If reconnection is determined to be occurring, the method comprises: identifying a region of plasma density enhancement using the total electron content distribution; and calculating a velocity of at least a portion of the plasma density enhancement using the convection model, such that transport of a region of plasma density enhancement over time can be forecast.