Abstract: A battery monitoring system includes a data acquiring unit and a failure determining unit. The data acquiring unit acquires a plurality of types of monitoring data to monitor a state of a secondary battery. The failure determining unit determines whether the secondary battery has failed. The failure determining unit performs sparsity regularization using the monitoring data as variables and calculates a partial correlation coefficient matrix of the monitoring data. The failure determining unit calculates, as an abnormality level, an amount of change in a partial correlation coefficient, which is a component of the partial correlation coefficient matrix, between two partial correlation coefficient matrices calculated at different periods. The failure determining unit determines that the secondary battery has failed when the calculated abnormality level exceeds a predetermined threshold.

Abstract: Various implementations described herein are directed to a petrochemical measurement system. A remote terminal unit includes a network data server. A human machine interface may be an autonomous network data client in communication with the remote terminal unit. The human machine interface may include: a memory having configuration parameter software stored thereon; a user interface configured to receive configuration parameter input using the configuration parameter software; and a processor configured to send the configuration parameters received from the user interface of the HMI to the remote terminal unit.

Abstract: A method is disclosed for adjusting the time scale of chromatography-mass spectrometry data sets, wherein a time scale of a first data set is used as a reference time scale and wherein a time scale of at least one second data set is adapted to the reference time scale. The steps of the method include identifying feature groups in the first data set by evaluating intensities of consecutive points of the first data set; identifying feature groups in the second data set by evaluating intensities of consecutive points of the second data set; matching feature groups of the first data set to feature groups of the second data set, and determining a corrected time scale for the second data set based on time differences between feature groups in the first data set and matching feature groups in the second data set.

Abstract: A system, method, and computer program product for identifying an incorrectly sized utility meter having a measuring system for fluid passing through the utility meter, including monitoring a plurality of utility meters, each utility meter being installed at a utility location, receiving utility meter data, transmitted by at least one utility meter of the plurality of utility meters to a central computer including at least one processor, wherein the utility meter data comprises a measurement of a volumetric amount of fluid passing through the utility meter or other utility meter data for deriving the volumetric amount of fluid passing through the utility meter, identifying the incorrectly sized utility meter by detecting whether a flow rate associated with the volumetric amount of fluid passed through the utility meter is outside of a flow rate range; and providing an interactive interface to report/receive a status associated with the incorrectly sized utility meter.

Abstract: The selection support system selects components constituting a machine tool including a drive system having a motor and a motor drive device configured to drive and control the machine tool, and a housing part configured to house at least a part of the drive system. The selection support system includes an information reception unit configured to receive operation information on operation of the machine tool, machine information on a configuration of the machine tool, and housing part information on the housing part, and a calculation unit. The calculation unit has a temperature estimation unit configured to estimate a temperature of an inside of the housing part, on the basis of the operation information, the machine information, and the housing part information received by the information reception unit.

Abstract: A state analysis device is capable of determining a state of the interior of piping with high precision, and includes: an index calculation means for deriving an index indicating the state of the piping, based on a flow speed of fluid flowing out of the piping, and a fluid pressure of the interior of the piping at two or more locations of the piping; and a determination means for determining the state of the piping, based on the index.

Abstract: There is disclosed in an example, a pourable smart matter having a plurality of compute nodes, the compute nodes having: a mechanical structure having a plurality of faces, the faces having abutting face detectors; a network interface; and one or more logic elements comprising a positional engine to: identify a neighbor compute node abutting at least one of the faces; and build an individual positional profile based at least in part on the identifying. The pourable smart matter may be used, for example, to determine the geometry or volume of a container.

Abstract: A likelihood calculation unit calculates, from information obtained by each of movement detection methods including a movement detection method for detecting a movement amount of an object using an image and one or more different movement detection methods, movement amount likelihoods with regard to which the movement amount of an object is each of a plurality of movement amounts. An integration unit integrates the movement amount likelihoods according to the plurality of movement detection methods to determine integration likelihoods individually of the plurality of movement amounts. The present technology can be applied, for example, to a case in which a movement amount of an object is determined and a driver who drives an automobile is supported using the movement amount.

Abstract: The present disclosure relates to methods and systems for oil and gas field production management. An example system includes a production site and a production sensor configured to obtain information about a process parameter associated with the production site. The system also includes an on-site chemical tank and a mobile delivery vehicle with a chemical delivery system. The chemical delivery system is configured to dispense a chemical. The system also includes a controller that carries out operations, which include receiving, from the production sensor, information indicative of a process parameter value associated with the production site and determining, based on the received information, a chemical delivery request. The operations also include, in response to determining the chemical delivery request, routing the mobile delivery vehicle to the production site and causing the chemical delivery system to dispense the chemical to the on-site chemical tank according to the chemical delivery request.

Abstract: An offset correction device includes: an amplitude adjuster that adjusts an amplitude of a detection signal output from an encoder by adjusting a gain of the detection signal so that the amplitude is within a predetermined range; an offset corrector that corrects an offset of an amplitude center of the detection signal; and a storage that stores a relationship between the gain and an offset amount in advance, wherein the offset corrector refers to the relationship stored in the storage when the amplitude adjuster changes the gain, obtains the offset amount corresponding to the changed gain, and corrects the offset based on the obtained offset amount.

Abstract: Systems and methods include a method for deblending signal and noise data. A shot domain for actual sources, a receiver domain for virtual sources, and a receiver domain for actual sources are generated from blended shot data. A dictionary of signal atoms is generated. Each signal atom includes a small patch of seismic signal data gathered during a small time window using multiple neighboring traces. A dictionary of noise atoms is generated. Each noise atom includes a small patch of seismic noise data gathered during a small time window using multiple neighboring traces. A combined signal-and-noise dictionary is generated that contains the signal atoms and the noise atoms. A sparse reconstruction of receiver domain data is created from the combined signal-and-noise dictionary. The sparse reconstruction is split into deblended data and blending noise data based on atom usage to create deblended shot domain gathers for actual sources.

Abstract: A water management system effective for managing and metering water usage and detecting and reducing water leaks is described herein. The water management system can detect a leak when a volume of water flow or change in water pressure detected by a water meter of the system is uncharacteristic for a given day and time of day at the node. Upon detecting the leak, the system alerts the user, and in some situations, remotely shuts off a water supply to preemptively address a water leakage issue.

Abstract: A system for intelligently implementing an autonomous agent that includes an autonomous agent, a plurality of infrastructure devices, and a communication interface. A method for intelligently calibrating infrastructure (sensing) devices using onboard sensors of an autonomous agent includes identifying a state of calibration of an infrastructure device, collecting observation data from one or more data sources, identifying or selecting mutually optimal observation data, specifically localizing a subject autonomous agent based on granular mutually optimal observation data, identifying dissonance in observation data from a perspective of a subject infrastructure device, and recalibrating a subject infrastructure device.

Abstract: A system for intelligently implementing an autonomous agent that includes an autonomous agent, a plurality of infrastructure devices, and a communication interface. A method for intelligently calibrating infrastructure (sensing) devices using onboard sensors of an autonomous agent includes identifying a state of calibration of an infrastructure device, collecting observation data from one or more data sources, identifying or selecting mutually optimal observation data, specifically localizing a subject autonomous agent based on granular mutually optimal observation data, identifying dissonance in observation data from a perspective of a subject infrastructure device, and recalibrating a subject infrastructure device.

Abstract: A voltage determinator which determines a battery voltage using a voltage determination circuit and is configured to output the determination voltage to a corrector in a separate body includes a characteristics signal generation circuit that is configured to output a characteristics signal indicating characteristics of the voltage determination circuit to the corrector.

Abstract: A system for monitoring an oil and gas process includes a data acquisition circuit structured to interpret a plurality of detection values corresponding to input received from a detection package which includes at least one of a plurality of input sensors each operatively coupled to at least one of a plurality of components of an industrial production process; a data analysis circuit structured to analyze a subset of the plurality of detection values to determine a status parameter; and an analysis response circuit structured to adjust the detection package in response to the status parameter, wherein the plurality of available sensors have at least one distinct sensing parameter selected from the sensing parameters consisting of: input ranges, sensitivity values, locations, reliability values, duty cycle values, sensor types, and maintenance requirements.

Abstract: An inspection system includes a plurality of inspection apparatuses, and a data processing apparatus capable of communicating with the plurality of inspection apparatuses. The data processing apparatus includes a storage part storing a model that determines a causal relationship between an apparatus parameter related to setting of the plurality of inspection apparatuses and index data obtained when the plurality of inspection apparatuses are operated, a collection part collecting the apparatus parameter and the index data, a determination part determining whether or not the index data is included in a predetermined allowable range, and a calculation part calculating an adjustment amount for adjusting the apparatus parameter, based on the apparatus parameter and the index data, and the model, when it is determined that the index data is not included in the predetermined allowable range.

Abstract: A capacity measurement system of a secondary battery that estimates an SOC with high estimation accuracy in a short time at low cost is provided. The capacity measurement system of a secondary battery is an estimation system of a state of charge of a power storage device that includes a unit for acquiring time-series data of a voltage measured value and a current measured value of a first power storage device; a unit for normalizing the time-series data of the voltage measured value; a unit for normalizing the time-series data of the current measured value; a database creation unit for creating a database where an SOC of the first power storage device is linked to superimposed data of time-series data of a time axis corresponding to a vertical axis and time-series data of a time axis corresponding to a horizontal axis; and a neural network unit.

Abstract: Method of forecasting heat output of a solar collector. First, heat output for a plurality of solar collectors is simulated, located at respectively different geographic locations but having the same solar collector settings as the solar collector to be forecasted. The simulation is performed by calculating a dataset of theoretical heat outputs for the plurality of solar collectors, based on acquired 802 related weather data. From the calculated dataset a function is adjusted 810, the function defining the theoretical heat output of any solar collector related to its geographic location, e.g. latitude, solar Direct Normal Irradiation, DNI, and collector settings, e.g. operation temperature, and forecasting the heat output of the solar collector based on the adjusted function.

Abstract: The disclosure provides a well integrity monitoring tool for a wellbore, a method, using a nuclear tool and an EM tool, for well integrity monitoring of a wellbore having a multi-pipe configuration, and a well integrity monitoring system. In one example, the method includes: operating a nuclear tool in the wellbore to make a nuclear measurement at a depth of the wellbore, operating an EM tool in the wellbore to make an EM measurement at the depth of the wellbore, determining a plurality of piping properties of the multi-pipe configuration at the depth employing the EM measurement, determining, employing the piping properties, a processed nuclear measurement from the nuclear measurement, and employing the processed nuclear measurement to determine an integrity of a well material at the depth and within an annulus defined by the multi-pipe configuration.