Abstract: Disclosed herein is a sensors-as-a-service ecosystem. In use, the system includes functions for receiving first sensor data at a sensors as a service platform, where the first sensor data corresponds to a first level of capabilities for a first sensor. The system also receives a selection of a sensor upgrade for the first sensor and provisions enhanced sensor capabilities for the sensor upgrade based on the selection. Furthermore, the system sends a sensor update with the enhanced sensor capabilities from the sensors as a service platform to the first sensor. Finally, the system receives second sensor data from the first sensor at the sensors as a service platform, where the second sensor data corresponds to a second level of capabilities for the first sensor.

Abstract: A geographic position of an agricultural machine is captured. Agricultural data is received that corresponds to a geographic position. Georeferenced visual indicia are displayed that are indicative of the received agricultural data.

Abstract: A system for chip-removing machining of a workpiece and for measuring and evaluating force and torque during the chip-removing machining of the workpiece includes a machine tool with a tool for chip-removing machining of the workpiece; a device for measuring force and torque that includes a plurality of piezoelectric transducers generating polarization charges being communicated through a respective measuring channel; and a stationary evaluation unit for evaluating measured value data of the device. The device includes a measuring unit installed in the machine tool and rotates with the tool about an axis of rotation during chip-removing machining. The device includes a control unit that transmits measured values as measured value data in a wireless manner directly to the evaluation unit with a transmission power in the range of 0.1 mW to 10 mW.

Abstract: A power supply system includes a travel mode selection button which acquires a driver request, mode; a management ECU which sets, based on the driver request mode, any among a plurality of travel modes as a setting mode; and an electronic control unit group which controls the flow of electric power in the power circuit under conditions according to the setting mode. The management ECU calculates a sum of a first output upper limit of a first battery B1 and a second output upper limit of a second battery B2 as a total output upper limit Pt_lim, calculates a reference output upper limit Pr_lim which is the first output upper limit of the battery B1 in a reference state, and in the case of the setting mode being a normal mode and the upper limit Pt_lim being smaller than the upper limit Pr_lim, inhibits switching to a sport mode.

Abstract: Systems, methods, and other embodiments associated with autonomous discrimination of operation vibration signals are described herein. In one embodiment, a method includes automatically choosing a plurality of vibration frequencies that vary in correlation with variation of a load on a monitored device. Vibration amplitudes for the plurality of vibration frequencies are monitored for incipient failure using a machine learning model. The machine learning model is trained to expect the vibration amplitudes to be consistent with undegraded operation of the monitored device. The incipient failure is detected where vibration amplitudes are not consistent with undegraded operation of the monitored device. An alert is then transmitted to suggest maintenance to prevent the incipient failure of the monitored device.

Abstract: A photoelectric detection model transfer and sharing method and an Internet of Things monitoring and evaluation system based on a cloud service are provided. The transfer and sharing method includes: invoking a temperature compensation model and a spectrum transfer model to calibrate spectrum information of agricultural product samples, and invoking a detection model to compute the calibrated spectrum information to obtain detection results of the agricultural product samples. The Internet of Things monitoring and evaluation system calibrates spectrum information by using a spectrum transfer and sharing method, invokes a detection model for computing, and returns detection results to a detection terminal in real time, thereby realizing remote monitoring and evaluation of the quality of agricultural products.

Abstract: The disclosure provides a cooling solution that evaluates the thermal environment of a computer component based on transient thermal responses of the computer component. The transient thermal responses are generated by measuring the temperature rise of the computer component over a designated amount of time for multiple “good” assemblies and multiple “bad” assemblies to determine a duration and allowable temperature rise needed to set a pass/fail criteria for different failure modes of cooling devices. A cooling device may not be operating as designed due to damage, needed maintenance, missing thermal interface material (TIM), improper installation, etc. From the transient thermal responses, a thermal problem, such as a malfunctioning fan, can be determined and a corrective action can be performed.

Abstract: Methods and an expert system for processing a plurality of inputs collected from sensors in an industrial environment are disclosed. A modular neural network, where the expert system uses one type of neural network for recognizing a pattern relating to at least one of: the sensors, components of the industrial environment and a different neural network for self-organizing a data collection activity in the industrial environment is disclosed. A data communication network configured to communicate at least a portion of the plurality of inputs collected from the sensors to storage device is also disclosed.

Abstract: Aspects relate to system and methods for determining a user specific mission operational performance, using machine-learning processes.

Abstract: A method for calibrating a position measurement system includes receiving measurement data from the position measurement system and determining that the measurement data includes periodic distortion data. The position measurement system includes a nonius track and a master track. The method also includes modifying the measurement data by decomposing the periodic distortion data into periodic components and removing the periodic components from the measurement data.

Abstract: A condition of at least one structural part (11) of a working machine (10) is determined by determining a computational position of the first structural part (11?) on the basis of the computational model of the working machine (10) and determining an actual position of the first structural part (11?) by detecting means (22). The condition of the at least one structural part (11) is determined on the basis of the difference between the computational position of the first structural part (11?) and the actual position of the first structural part (11?).

Abstract: A method for detecting an event includes measuring a pressure of a fluid with a pressure sensor. The method also includes generating a pressure spectrogram based at least in part on the pressure. The method also includes comparing the pressure spectrogram to a plurality of historical pressure spectrograms. The historical pressure spectrograms have previously been determined to be related to one or more events. The method also includes determining that the pressure spectrogram is related to an event based at least partially upon the comparison.

Abstract: In one embodiment, a device comprises interface circuitry and processing circuitry. The processing circuitry receives, via the interface circuitry, a video stream captured by a camera during performance of an industrial process, wherein the video stream comprises a sequence of frames; detects, based on analyzing the sequence of frames, a degree of particle scatter that occurs during performance of the industrial process; and determines, based on the degree of particle scatter, that an anomaly occurs during performance of the industrial process.

Abstract: A method is provided for detecting and quantifying leaks in a gas network under pressure or vacuum. The gas network may have a sensor(s) capable of recording the status of a source(s), consumers, consumer areas or applications. The method includes: a start-up phase; a training or estimation phase; and an operational phase. The operational phase includes: reading out the first group of sensors; calculating or determining the value of a second group of sensors from the readings from the first group of sensors; comparing the calculated or determined values of the second group of sensors with the read values of the second group of sensors and determining the difference between them; determining, on the basis of a residual value analysis, whether there is a leak in the gas network; generating an alarm and/or generating a leakage rate and/or generating the corresponding leakage cost if a leak is detected.

Abstract: A method and arrangement keep track of the cumulative absolute drift of a measurement device, in connection with calibration actions performed by a calibrator. Measurement results are saved (22) in each measurement instant, and if they exceed a threshold value (23), an adjustment step is performed (24). Irrespective of the adjustment steps, the latest drift value (25) during the latest calibration interval is summed (26) with the previous cumulative drift value. The cumulative drift value, i.e. AbsDrift, is saved to a server, from where it can be illustrated visually (27). If there is an uncommon pattern or large cumulative drift present, an indication or alarm (28) can be sent to the user of the calibrator.

Abstract: Embodiments of the Invention provide real-time portable, deployable data acquisition units and monitoring consoles that can be used in combination with radio communication technology to provide for monitoring of wildfires and local weather conditions to aid in fighting wildfires.

Abstract: A method for detecting an occlusion in a fluidic channel of an infusion device that includes flowing a fluid within the fluidic channel during a first period of time in which a flow rate of the fluid is set to a first flow rate; pausing, the flow rate for a second period of time; measuring, a first pressure at a location along the fluidic channel during the second period of time; increasing, after measuring the first pressure, the flow rate to a second flow rate; pausing, the flow rate for a fourth period of time; measuring, after pausing the flow rate, a second pressure at the location during the fourth period of time; computing, at a processor, a difference between the first and second pressures; and in accordance with a determination that the magnitude of the difference satisfies the threshold, providing an indication, of a presence of the occlusion.

Abstract: Material transfer interfaces for space vehicles, and associated systems and methods, are disclosed. A representative system includes a coupling mechanism including a support structure, a latch-arm base movably connected to the support structure, and a latch arm pivotably connected to the latch-arm base. Another representative system includes a service valve portion, a coupling portion configured to receive the service valve portion, and a coupling mechanism for coupling the service valve portion to the coupling portion. The coupling mechanism can include latch arms positioned to pivot between a position in which the latch arms are pivoted outwardly and a position in which the latch arms are pivoted inwardly to capture the service valve portion. The latch arm can be carried by a latch-arm base that translates relative to a support structure of the coupling portion. Material transfer interfaces can include self-aligning ports having faces that engage each other with cup-and-cone structures.

Abstract: Disclosed is a method for identifying a vibration magnitude of a TBM main beam using a geological feature parameter and a tunneling feature parameter constructed based on tunnel boring machine (TBM) tunneling parameters. The method includes: collecting vibration signals of the main beam and tunneling parameters of a TBM through an in-situ tunneling test and preprocessing such data, researching a correlation law between the tunneling parameters and a vibration feature root mean square (RMS), providing two feature parameters of a field penetration index (FPI) and a cutterhead power index (TNI), establishing a multivariate regression prediction model for vibration of the TBM main beam based on the feature parameters, and verifying and analyzing the model under different surrounding rock conditions. An average relative error of prediction is 12% or within, and a quantitative relation between the vibration features of the main beam and the feature parameters of the TBM is given.

Abstract: A plant monitoring device (20) is provided with: a detection value acquisition unit (211) that acquires a bundle of detection values; a first Mahalanobis distance calculation unit (212) that calculates a first Mahalanobis distance by using as a reference a unit space generated on the basis of a bundle of past detection values; a first SN ratio calculation unit (214) that calculates a first SN ratio for each of a plurality of evaluation items; a second Mahalanobis distance calculation unit (215) that calculates a second Mahalanobis distance by increasing or decreasing each of the detection values; a second SN ratio acquisition unit (216) that converts the first SN ratio for each of the evaluation items and acquires a second SN ratio on the basis of the first and second Mahalanobis distances; and an addition unit (217) that calculates an added value of a plurality of the second SN ratios acquired within a prescribed period for each of the evaluation items.