Abstract: The present application describes an integrated module. The integrated module includes a microcontroller, an inertial measurement unit (IMU), a low-power accelerometer, and an environmental sensor. A noise target between the IMU and low-power accelerometer is less than a noise target be the IMU and microcontroller. The present application also describes a method of using an integrated module.

Abstract: A method for intelligent fault detection and location of a power distribution network is provided, which includes: constructing a network topology of the power distribution network, updating the network topology in real time to obtain an updated network topology, performing a fault identification based on the updated network topology, performing a fault locating based on the updated network topology to determine a fault node, and identifying a fault type based on a fault recorded signal of the fault node. With this method, fault locations and fault types of the power distribution network can be accurately detected in real time.

Abstract: A high-temperature superconducting (HTS) magnetic levitation (maglev) Dewar capable of increasing damping and levitation force and a width calculation method thereof. The HTS maglev Dewar includes an outer container and an inner container. The outer container is fixedly connected to the inner container through a connecting column. The inner container has a cavity configured to accommodate liquid nitrogen. A bottom of the inner container is provided with a bulk superconductor. The inner container is communicated with outside through a liquid nitrogen feeding pipe. The outer container is made of an electrically conductive material.

Abstract: Methods for predicting hydrocarbon production rates for a hydrocarbon reservoir include receiving data from a hydrocarbon reservoir. The data includes reservoir characterization data, well log data, and hydraulic fracturing data. A physics-constrained machine learning model predicts a hydrocarbon production rate for the hydrocarbon reservoir as a function of time. The physics-constrained machine learning model includes an artificial neural network and a hydrocarbon fluid flow model. Predicting the hydrocarbon production rate includes generating, by the artificial neural network, multiple parameters of the hydrocarbon fluid flow model based on the data from the hydrocarbon reservoir. The hydrocarbon fluid flow model provides the predicted hydrocarbon production rate as a function of time based on the parameters. A display device of the computer system presents the predicted hydrocarbon production rate for the hydrocarbon reservoir as a function of time.

Abstract: Analysis of drilling slurry solids by image processing includes receiving images of a solid slurry including a mixture of wellbore drilling mud and solid objects found in the wellbore while drilling the wellbore through a subterranean zone. The solid objects include drill cuttings and non-drilled solids. By implementing image processing techniques on the images, the solids in the solid slurry are classified a drill cutting or as a non-drilled solid.

Abstract: Devices, systems, and techniques relating to steam trap monitoring are described. These include battery-less steam trap monitors that run on power harvested from their environments, systems for acquiring steam trap monitor data for the traps in a facility or across multiple facilities, and techniques for processing steam trap monitor data to reliably determine the status of individual steam traps and potentially other system parameters.

Abstract: An encoder device for determining a kinematic value of the movement of a first object relative to a second object is provided, wherein the encoder device comprises a standard associated with the first object and at least one scanning unit associated with the second object for producing at least one scanning signal by detection of the standard and a control and evaluation unit that is configured to determine the kinematic value from the scanning signal. The control and evaluation unit is here further configured to determine the kinematic value by an evaluation of the scanning signal using a method of machine learning, with the evaluation being trained with a plurality of scanning signals and associated kinematic values.

Abstract: Methods and systems, including computer programs encoded on a computer storage medium can be used for an integrated methodology that can be used by a computing system to automate processes for generating, and updating (e.g., in real-time), subsurface reservoir models. The methodology and automated approaches employ technologies relating to machine learning and artificial intelligence (AI) to process seismic data and information relating to seismic facies.

Abstract: A method and apparatus for subsurface data processing includes determining a set of clusters based at least in part on measurement vectors associated with different depths or times in subsurface data, defining clusters in a subsurface data by classes associated with a state mode, reducing a quantity of the subsurface data based at least in part on the classes, and storing the reduced quantity of the subsurface data and classes with the state model in a training database for a machine learning process.

Abstract: A method including: wirelessly transmitting and receiving data packets between first and second apparatuses; determining first and second angles of arrival at each apparatus for electromagnetic waves of the received data packets; providing first and second directions of arrival corresponding to the angles of arrival; converting the first and second directions into a global frame; projecting the first and second converted directions onto a horizontal plane; and computing a first drift estimate for a gyroscope or IMU of the first apparatus relative to the second apparatus, and/or computing a second drift estimate for a gyroscope or IMU of the second apparatus relative to the first apparatus, the first drift estimate being based on a difference between the projected second direction and a mirrored projected first direction, and the second drift estimate being based on a difference between the projected first direction and a mirrored projected second direction.

Abstract: In a display system, each of a plurality of sensor terminals estimates first information based on accumulated first measurement data and transmits the first information to a display device. The display device synchronizes a received plurality of kinds of the first information at time and classifies the plurality of kinds of first information into a plurality of first information groups, estimates, based on position information of the plurality of sensor terminals and the first information included in each of the first information groups, updates the first information group, generates, for each of the updated plurality of first information groups, based on map information including a region where a structure is located, image information including a distribution of values of the first information on a map, and displays an image based on the image information.

Abstract: Aspects herein are directed to a support garment testing system comprising a torso form having a motion tracking sensor associated with one or more breast structures of the torso form. A support garment is secured to the torso form, and the torso form is mounted on a motion platform that, when actuated, causes displacement of the breast structures. The amount of displacement is measured by the sensor, and the data is used to assign a level of support provided by the support garment.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for detecting water leaks and mitigating the damage caused by the detected leaks. The system may include a processor and a storage device storing instructions that, when executed by the processor, cause the processor to perform operations. The operations may include obtaining sensor data that is generated by one or more flow rate sensors located at a property, obtaining status data that is generated by one or more connected water shutoff valves located at the property, determining, based on (i) the obtained sensor data and (ii) the obtained status data whether a water leak has been detected at the property, and in response to determining, based on (i) the obtained sensor data and (ii) the obtained status data, that a water leak has been detected at the property, initiating performance of one or more water damage mitigation operations.

Abstract: The invention relates to a fire-extinguishing facility comprising an extinguishing fluid line for transporting an extinguishing fluid, a plurality of sprinklers connected to the extinguishing fluid line in a fluid-guiding manner which are closed in a standby state and open in an extinguishing state in order to supply the extinguishing fluid, and a flow-measuring device associated with the extinguishing fluid line. According to the invention, the flow-measuring device is designed to approximately detect a volume flow of the extinguishing fluid transported in the extinguishing fluid line, and an evaluation unit is provided and designed to assign a number of open sprinklers to the approximately detected volume flow.

Abstract: A method, apparatus and computer program product provide data collection via a plurality of sensors, user authentication, data storage, and sensor replacement and configuration. The sensors may be integrated in or on various types of devices and/or household objects and may provide a wide range of data regarding users, use of the respective items, and/or their environments. Sensor data may be processed by the disclosed apparatus to generate application output data. Replacement sensors may be manually or automatically detected and configured. Multiple users may use a sensor and/or associated device, and may be authenticated with biometric data or/and other forms of authentication. The data may therefore be associated with the intended user. Authentication, data storage, application computer program code hosting, analytical processing, and/or the like may be performed on computing devices that are remote from the disclosed apparatus.

Abstract: A method for tracking time in use of a generating set includes furnishing at least one piece of information characteristic of an operating time of said generator set. An autonomous device for measurement is solidly attached to a chassis of said generator set and has at least two sensors. One sensor is for measurement of a first physical magnitude. Another sensor is for measurement of a second physical magnitude. The anonymous device performs analysis of said first and second physical magnitudes provides for delivering a piece of information representative of an operating state of said generator set, determination of a piece of information representative of a global operating time of said generator set by cumulative time during which said representative information of an operating state is furnished, and storage of said piece of information representative of a global operating time of said generator set.

Abstract: Systems and methods are disclosed for identifying and displaying geostructural properties as a function of lithology, horizons, and faults interpreted from well and seismic data. Exemplary implementations may include obtaining an initial fracture distribution grid model; obtaining training structural deformation data; obtaining training subsurface lithology parameter data; obtaining training fracture attribute data; and training the initial fracture distribution grid model to generate a trained fracture distribution grid model.

Abstract: Methods and systems for monitoring the performance of a building management system by analyzing log files of various modules of the building management system. A user request is received at a first one of the plurality of modules of the building management system, which initiates a sequence of messages processed by two or more modules. Each of the sequence of messages include a common tag value that corresponds to the user request. Each of the plurality of modules that process one of the sequence of messages logs the corresponding message including the common tag value in a corresponding log entry. The log entries are analyzed to identify resource utilization of at least some of the plurality of modules.

Abstract: Described herein are systems and method for monitoring weather conditions and controlling field operations based on the weather conditions. In one embodiment, a system for monitoring weather conditions for field operations includes a plurality of weather devices for monitoring weather conditions of fields with at least at one weather device in proximity to each field being monitored and at least one weather device having an electronics module for determining weather data including precipitation data. The system also includes an agricultural computer system having at least one processing unit for executing instructions for monitoring weather conditions. The at least one processing unit is configured to execute instructions to receive weather data from the plurality of weather devices for monitoring weather conditions of fields, to process the weather data, and to generate data including precipitation rate for monitoring weather conditions and operations of the plurality of weather devices.

Abstract: Methods and systems are provided herein for analyzing, monitoring, and/or influencing a user's behavioral gesture in real-time. A gesture recognition method may be provided. The method may comprise: obtaining sensor data collected using at least one sensor located on a wearable device, wherein said wearable device is configured to be worn by a user; and analyzing the sensor data to determine a probability of the user performing a predefined gesture, wherein the probability is determined based in part on a magnitude of a motion vector in the sensor data, and without comparing the motion vector to one or more physical motion profiles.