Abstract: Drill bit vibration data for lateral, axial, and torsional directions of a drill bit is collected for a simulated or deployed drill bit for visualization of 3D coupled vibration. A frequency converter transforms the drill bit vibration data into frequency vibration data. A drill bit analyzer identifies local maxima (“peaks”) in the frequency vibration data in each of the lateral, axial, and torsional directions. Common peaks across all 3 directions with sufficiently high frequency and sufficiently high bit rotation speed are indicated as 3D coupled vibration. A drill bit data visualizer uses the indications of 3D coupled vibration in addition to the vibration data and frequency vibration data to generate visualizations of 3D coupled vibration in the drill bit.

Abstract: A method for processing positioning data of a mobile device is provided, comprising: acquiring a first original point set and a target point set by measuring an object surface with the mobile device; extracting feature points from the first original point set to obtain an original key point set; extracting feature points from the target point set to obtain a target key point set; performing a first registration operation on the original key point set and the target key point set to obtain a first model transformation parameter; transforming the first original point set by the first model transformation parameter to obtain a second original point set; performing a second registration operation on the second original point set and the target point set to obtain a second model transformation parameter; and acquiring third model transformation parameter based on the first model transformation parameter and the second model transformation parameter.

Abstract: Systems and methods for measuring gas flux are provided. The method includes obtaining one or more of wind speed data, gas content data, temperature data and humidity data over a period of time, computing a plurality of different gas flux values for said period of time using a corresponding plurality of different flux calculation algorithms, wherein each of the plurality of different flux calculation algorithms uses one, some or all of the measured data types to calculate gas flux values for one or a plurality of sub-periods of said period of time, and for each of the one or the plurality of sub-periods, determining an optimal flux calculation algorithm of the plurality of different flux calculation algorithms based on one or more quality indicators; and outputting, for each of the plurality of sub-periods, one or more optimal flux calculation values corresponding to the optimal flux calculation algorithm for the sub-period.

Abstract: The present invention provides methods and systems for tracking motion in multiple dimensions, including multiple dimensions, including a transmitter probe fixture, a receiver array, and an electronic control unit.

Abstract: Systems and methods for tracking a heading of an excavator are provided. An initial heading of the excavator platform is obtained and a current azimuthal orientation of the excavator platform is associated with the initial heading. Coordinates of a measurement center of the GNSS device are obtained. Coordinates of a center of rotation of the excavator platform are determined using the initial heading of the excavator platform, the coordinates of the measurement center, and a known spatial relationship between the measurement center of the GNSS device and the center of rotation of the excavator platform. Rotation of the excavator platform is tracked from the initial heading to a first heading using rotation measurements from a swing sensor.

Abstract: A system and method usable for receiving data from an optical device and converting the data to a condition value, apply analytical tools to the condition value as determined by the optical device in real time, or substantially real time, analyze data, and generate automated reports in real time, or substantially real time at the location and time that condition values are received.

Abstract: A biological signal of a subject is acquired so as to calculate biological information from the acquired biological signal. When the biological information has been determined to be anomaly, whether the biological information is one that was calculated under a high-accuracy condition is determined. When the biological information is determined to be one that was calculated under the high-accuracy condition, a notice is given based on a first criterion. In the other cases, a notice is given based on a second criterion. Thereby, it is possible to provide an abnormality notification system that can give a necessary notification appropriately while suppressing unnecessary notification, by changing the criteria for notification in accordance with the accuracy of the determined biological information when the biological information of the subject was determined to be anomaly.

Abstract: A method for automated flushness measurement of point cloud rivets, including: extracting a rivet outline by adopting an RANSAC circle fitting algorithm, and determining a center, a radius and a normal vector of an outline circle; extracting point cloud of a rivet head for a single rivet outline; extracting point cloud around the rivet for the single rivet outline; and generating a distance color difference map reflecting rivet flushness according to the point cloud of the rivet head and the point cloud around the rivet. According to the present invention, the point cloud of the rivet head and the point cloud around the rivet can be respectively extracted, and the distance color difference map reflecting the rivet flushness is generated according to the point cloud of the rivet head and the point cloud around the rivet, so that the rivet flushness is rapidly and effectively measured.

Abstract: The invention relates to a method for ascertaining a rotational angle (E) of a shaft (2). In order to increase the accuracy of the ascertainment within a greater predefined angle range in relation to the prior art, the following steps are provided: detecting respective rotational angles (W1, W2, W3) of three toothed gears (Z1, Z2, Z3) of a toothed gear arrangement, wherein the three toothed gears (Z1, Z2, Z3), with different numbers of teeth (z1, z2, z3), are meshed directly with a gear ring (10) of the shaft (2), and ascertaining the rotational angle (E) of the shaft (2) on the basis of the respective rotational angles (W1, W2, W3) of the three toothed gears (Z1, Z2, Z3) in accordance with a predetermined extraction rule, wherein the rotational angle (E) of the shaft (2) is distinctly defined within a predefined angle range by the entirety of the respective rotational angles (W1, W2, W3).

Abstract: An electronic timepiece includes a detection axis calibration unit configured to execute first calibration processing of calibrating an axial direction and second calibration processing of calibrating a direction along a third detection axis, the second calibrating processing being executed after first calibration processing, a mode setting unit configured to set a first measurement mode when second calibration processing is not completed after completion of the first calibration processing, and set a second measurement mode when the second calibration processing is completed, a first azimuth calculation unit configured to calculate an azimuth, based on detected values of a three-axis magnetic sensor in two axial directions, when the first measurement mode is set, and a second azimuth calculation unit configured to calculate an azimuth, based on detected values of the three-axis magnetic sensor in three axial directions and a detected value of a inclination sensor, when the second measurement mode is set.

Abstract: A method for determining a slips status during a drilling operation of a subterranean formation. The method includes capturing, using one or multiple camera devices mounted on a drilling rig of the drilling operation, a plurality of images, each of the plurality of images comprising a portion that corresponds to a slips device of the drilling rig, generating, using a sensor device of the drilling rig, a plurality of parameters of the drilling rig, wherein the plurality of parameters are synchronized with the plurality of images, providing, by a computer processor, the plurality of parameters as input to a machine learning model of the drilling rig, and analyzing, by the computer processor and based on the machine learning model, the plurality of images to generate the slips status.

Abstract: The present disclosure provides a point cloud denoising method based on deep learning for an aircraft part, in which different degrees of Gaussian noise are added based on a theoretical data model of the aircraft part, a heightmap for each point in the theoretical data model is generated, and a deep learning training set is constructed. A deep learning network is trained based on the constructed deep learning training set, to obtain a deep learning network model. A real aircraft part is scanned via a laser scanner to obtain measured point cloud data. The normal information of the measured point cloud is predicted based on the trained deep learning network model. Based on the predicted normal information, a position of each point in the measured point cloud data is further updated, thereby completing denoising of the measured point cloud data.

Abstract: A recording medium records a program that causes a computer to execute processing of: obtaining pieces of three-dimensional point data observed a mobile body; calculating a feature amount according to a distance between a position of the mobile body and each of three-dimensional points indicated by the pieces of three-dimensional point data; and specifying a reference point that corresponds to the position of the mobile body from among reference points in a mobile space of the mobile body which are registered in a database that registers a combinations each of the respective reference points and the feature amounts according to the distance between the position of the respective reference points and each of three-dimensional points indicated by a pieces of three-dimensional point data observed from the position of the respective reference points, based on the calculated feature amount and the database.

Abstract: A method, for determining the real distance separating an object and an optical detection system, includes, from several so-called reported distances respectively less than or equal to individual reference distances dependent respectively on modulation frequencies: in a first step, determining an initial deviation coefficient between the reported distances and incrementing the smallest of the reported distances with the corresponding individual reference distance; then in a second step, determining a current deviation coefficient between the current distances obtained in the preceding step and incrementing the smallest of the current distances with the corresponding individual reference distance; and in a third step, repeating the second step until all the current distances exceed a common reference distance greater than the individual reference distances.

Abstract: A method for evaluating accuracy in positioning a receiver point, which is associated with at least one shot point, and for which a derived position data is obtained, wherein a pair of the receiver point and a respective shot point is associated with a characteristic parameter which includes an offset, a velocity of first arrival wave and a first arrival time, the method comprising: step S10, constructing a residual vector associated with the receiver point and the respective shot point based on the characteristic parameter; step S12, determining a characterization parameter of the derived position data based on the residual vector; and step S14, evaluating accuracy of the derived position data based on the characterization parameter. An apparatus for evaluating accuracy in positioning a receiver point is also provided.

Abstract: Systems, device and methods are provided for measuring parameters of a medium such as the dielectric properties of a medium including a plurality of layers, using an array of sensors. The array includes at least two transducers and at least one transceiver attached to the at least two transducers, the at least one transceiver being configured to transmit at least one signal toward the medium and receive a plurality of signals affected by the medium; a data acquisition unit and at least one processor unit, configured to: process the affected plurality of signals to yield a plurality of transfer functions wherein each of the plurality of transfer functions including the medium response between two transducers of the at least two transducers as function of frequency or time; process the plurality of transfer functions to yield a plurality of statistical measures, and process the statistical measures to calculate the medium parameters.

Abstract: Methods and systems for a monitoring system for data collection in an industrial environment including a data collector communicatively coupled to a plurality of input channels connected to data collection points related to machine components, wherein at least one of the plurality of input channels is connected to a data collection point on a rotating machine component; a data acquisition circuit structured to interpret a plurality of detection values from the collected data, each of the plurality of detection values corresponding to at least one of the plurality of input channels; and an expert system analysis circuit structured to analyze the collected data, wherein the expert system analysis circuit determines a failure state for the rotating machine component based on analysis of the plurality of detection values, wherein upon determining the failure state the expert system analysis circuit provides the failure state to a data storage.

Abstract: The processing time monitoring device is intended to monitor processing time of the target device, and includes: a data acquisition unit that acquires time series data of the target device as input time series data; a time difference calculation unit that calculates a time difference between the input time series data and reference time series data, the time difference existing in a direction of a time axis; and a display unit that displays the time difference calculated by time difference calculation unit.

Abstract: Disclosed is a method for starting-up by means of a service unit a field device of automation technology mounted on a component, especially a container, at a measuring location, wherein the service unit has a display unit and a camera, comprising: identifying the field device by means of the service unit; based on the identifying of the field device, ascertaining parameters of the field device to be set; registering geometry data of at least a part of the component by means of the camera; analyzing the registered geometry and, by means of the analyzing of the registered geometry, deriving at least one parameter value for at least one of the parameters to be set; confirming the calculated parameter value; and transferring the confirmed parameter value into the field device and storing the parameter value in the field device.

Abstract: A method of predicting a central fishing ground of flying squid family Ommastrephidae, includes three steps of setting spatial and temporal dimension, setting environmental factor, and establishing a central fishing ground prediction model. The spatial and temporal dimension includes three levels of spatial dimensions, and two levels of temporal dimensions of week and month. An SST is selected as a main environmental factor, and two environmental factors, i.e., SSH and Chl-a, are selected as a supplement. The environmental factors include four situations. According to the setting situations of the spatial and temporal dimension and the environmental factor, a set of sample schemes of 24 situations is established using permutation and combination method. An error backward propagation neural network model is established, wherein an input layer inputs data of the sample scheme set, and an output layer outputs a CPUE or a fishing ground grading index converted from the CPUE.