Abstract: The present disclosure provides a small-scale geological anomalous body detection method and device, and relates to the field of small-scale geological anomalous body detection. The method comprises: acquiring diffracted wave shot-gather data collected in a to-be-processed area and determining target single shot data having a distance to the center point, which is a predetermined distance; calculating a first horizontal distance between each shot point in the target single shot data and the center point and calculating a second horizontal distance between the detection point corresponding to each shot point and the center point; constructing a common-diffraction-point gather based on the first horizontal distances and the second horizontal distances; and processing the common-diffraction-point gather by using a correction algorithm of diffracted wave events to obtain a diffracted wave imaging profile.

Abstract: A method for processing an audio signal in accordance with a room impulse response is described. The audio signal is separately processed with an early part and a late reverberation of the room impulse response, and the processed early part of the audio signal and the reverberated signal are combined. A transition from the early part to the late reverberation in the room impulse response is reached when a correlation measure reaches a threshold, the threshold being set dependent on the correlation measure for a selected one of the early reflections in the early part of the room impulse response.

Abstract: A method includes receiving seismic data including signals collected using a receiver, separating a downgoing wavefield from an upgoing wavefield in the signals, generating a modified downgoing wavefield by removing direct arrivals from the downgoing wavefield, estimating a first-order multiple reflection signal at least partially by deconvolving the modified downgoing wavefield and the downgoing wavefield, and generating a seismic image based at least in part on the estimated first-order multiple reflection signals.

Abstract: A power quality analysis system is configured to carry out a power quality analysis in an electrical environment. The system comprises one or more power consuming units each electrically connected to a main power supply by a multiconductor (multicore) cable and one or more power quality sensors configured to provide one or more power quality analysis measurements. The one or more power quality sensors are clamp-on power quality sensors configured to provide one or more power quality analysis measurements when the clamp-on power quality sensors are clamped onto the outside of or arranged in the proximity of the multiconductor cable. The clamp-on power quality sensors are configured to provide the one or more power quality analysis measurements without being electrically connected to any of the conductors of the multiconductor cable.

Abstract: An industrial internet of things (IoT) gateway is communicatively coupled to (a) fluid condition sensor(s) monitoring (an) operating parameter(s) of fluid power system fluid, via a programmable logic controller (PLC) data communications protocol interface. The IoT gateway includes a PLC data communications protocol interface master function, a cloud computing interface module and program instructions to periodically sample fluid condition sensor readings, format the readings, and send the readings to a cloud computing message queuing telemetry transport broker for processing by a cloud monitoring system. Machine learning provides predictions of fluid quality and buildup of varnish in the fluid system, applies a scoring algorithm to predict fluid system failure. These predictions may be used to automatically create (a) work ticket(s) related to the fluid system.

Abstract: The present invention provides a method for eddy current thermography defect reconstruction based on electrical impedance tomography, first, obtaining a thermal reference image of temperature change with time by acquiring a thermogram sequence S of the specimen in the process of heating and fitting a curve for pixels of each location of the thermogram sequence S, then, creating a current matrix and a magnetic potential matrix, and calculating the satisfied conductivity distribution through iterations, so as a reconstructed image is obtained, then taking the low conductivity area of the reconstructed image as the defect profile, thus the defect profile is identified and quantified.

Abstract: A method may include obtaining acquired drilling parameter data regarding a drilling parameter in real-time during a drilling operation for a predetermined well. The method may include determining, based on a drilling cost model, first drilling cost data using the acquired drilling parameter data. The method may include determining whether the first drilling cost data satisfies a predetermined criterion. The method may include determining, in response determining that the first drilling cost data fails to satisfy the predetermined criterion, a replacement component for the drilling operation. The method may include determining, based on the drilling cost model, second drilling cost data based on using the replacement component for the drilling operation. The method may include transmitting a command to update the drilling operation by changing a drilling system to use the replacement component in response to determining that the second drilling cost data satisfies the predetermined criterion.

Abstract: A fleet management system will receive, from each vehicle of a fleet of vehicles, a vehicle identification number (VIN). The system also will receive data elements that comprise: (a) vehicle operational parameters gathered during a run of the vehicle; (b) a hardware identification code that identifies a hardware component of the vehicle; and/or (c) a software identification code that identifies an installed software component in the vehicle. The processor will generate a data block that comprises the VIN and the one or more data elements. The processor will then save the data block to a shared digital ledger that includes VINs and data elements for a plurality of the vehicles in the fleet.

Abstract: A method which includes receiving a first signal from a first probe at a first location monitoring a rotating component, wherein the first location defines a cross-sectional plane that is perpendicular to the axis of rotation of the rotating component. The method further includes obtaining a vibration model and generating, by a computer processor, a virtual signal at a second location on the machine, where no second probe is present. The second location is in the same cross-sectional plane as the first location and is angularly offset by an angle from the first location. The method further includes performing a plurality of signal processing techniques based, at least in part, on the first signal and the virtual signal and transmitting a plurality of commands based, at least in part, on results of the plurality of signal processing techniques.

Abstract: A hydrogen gas supply system comprises a storing unit that stores hydrogen, a communication unit that receives at least either of burden information indicative of an environmental burden exerted during manufacturing of hydrogen externally received by the storing unit and quality information indicative of quality with respect to the hydrogen externally received by the storing unit, a user interface unit that provides an output in accordance with the at least either of the burden information and the quality information with respect to the hydrogen supplied from the storing unit to the user, and a controller that controls the user interface unit based on an amount of the hydrogen received by the storing unit and the at least either of the burden information and the quality information, which is received by the communication unit.

Abstract: Provided is a method for shale gas production prediction, including: acquiring real shale gas production data, and determining a target production decline curve model according to the real shale gas production data; setting a time step for production prediction, and obtaining a linear production decline curve by performing production prediction by using the target production decline curve model based on the time step; determining target shale gas production residuals according to the linear production decline curve and the real shale gas production data, inputting the target shale gas production residuals to a long short-term memory, and obtaining a residual prediction result by performing production prediction according to the long short-term memory and the time step; and determining a target production prediction result of shale gas well to be subjected to production prediction based on the linear production decline curve and the residual prediction result.

Abstract: Techniques for performing multi-sensor calibration on a vehicle are described. A method includes obtaining, from each of at least two sensors located on a vehicle, sensor data item of a road comprising a lane marker, extracting, from each sensor data item, a location information of the lane marker, and calculating extrinsic parameters of the at least two sensors based on determining a difference between the location information of the lane marker from each sensor data item and a previously stored location information of the lane marker.

Abstract: A method and an apparatus for planning an obstacle-free measurement trajectory of a coordinate measuring machine, and a computer program are provided. An original measurement trajectory is determined, all compact obstacles along the original measurement trajectory are determined, an obstacle entrance pose on the original measurement trajectory and an obstacle exit pose on the original measurement trajectory are determined for each compact obstacle, and at least one obstacle-free alternative measurement trajectory is determined for each compact obstacle.

Abstract: A thermal monitor control system for a refuse vehicle includes a plurality of onboard devices including a first onboard device and a second onboard device, a plurality of sensors including a first sensor configured to collect a first data set and a second sensor configured to collect a second data, and a processing circuit configured to receive the first data set from the first sensor and the second data set from the second sensor, define a normal operating profile, receive a third data set from the first senor and a fourth data set from the second sensor, compare the third data set and the fourth data set to the normal operating profile, and cause the onboard messaging system to display the alert to the operator in response to determining that the third data set or the fourth data set differs from the normal operating profile.

Abstract: Described herein is environmental sensors, sensor units, sensor systems and/or sensing methods. In particular, an agricultural or horticultural environment multi-sensor unit comprising a plurality of environmental sensors, including at least: an incident light sensor, a temperature sensor, a carbon dioxide sensor and a relative humidity sensor. The sensor unit may also comprise a wireless communication interface, the multi-sensor unit being configured to transmit data from the environmental sensors via the wireless communications interface.

Abstract: Provided is an apparatus for battery diagnosis and module state change device capable of receiving power from a battery module through a connector connection with a battery module and operating, changing a diagnosis reference value for diagnosing, by a battery management system (BMS), a battery, and changing a setting value of the BMS to change a use of the battery module.

Abstract: An abnormality detection system includes a waveform acquisition unit configured to acquire waveform data that changes over time; an abnormality degree calculation unit, and an abnormality determination unit. The abnormality degree calculation unit is configured to calculate an abnormality degree based on a cumulative value obtained by accumulating absolute values of differences in data values for each unit time from the waveform data acquired by the waveform acquisition unit. The abnormality determination unit is configured to determine whether the waveform data is normal or abnormal based on the abnormality degree calculated by the abnormality degree calculation unit.

Abstract: Embodiments present a method for fluid type identification from a downhole fluid analysis that uses machine learning techniques that are trained and derived from a computer model using pressure, temperature and downhole optical characteristics of sampled fluid.

Abstract: The coastal ecosystem carbon pool estimation method of the invention belongs to the field of environmental assessment, and includes the following steps: (a) determining the spatial boundary of the coastal ecosystem; (b) determining the dominant plant classification area of the coastal ecosystem; (c) calculating the carbon source of the freshwater plant dominant area; (d) size setting of carbon source sampling point in coastal ecosystem; (e) sampling method of carbon source sampling point in coastal ecosystem; (f) carbon source estimation method in coastal ecosystem.

Abstract: A method and system for analysing a condition of a pipeline in real time is disclosed. The method and system comprise generating a transient pressure wave in fluid carried along the pipeline and detecting a transient pressure wave interaction signal responsive to the transient pressure wave where the pressure wave interaction signal has a time duration corresponding to a region of interest of the pipeline. The method and system further includes processing the transient pressure wave interaction signal to analyse the region of interest of the pipeline.