Nec Corporation

Eisuke Saneyoshi

Takahiro Toizumi

Ryo Hashimoto

Koji Kudo

Hisato Sakuma

Hitoshi Yano

Yuma Iwasaki

Kosuke Homma

Shigeru Koumoto

Ryota Suzuki

Katsuya Suzuki

Kazuhiko Aoki

Yoshiho Yanagita

Masayuki Mizuno

Koichi Nose

Akira Shoujiguchi

Reishi Kondo

Junichi Miyamoto

Shingo Takahashi

Shigeru Kasai

Shohei Kinoshita

Mikihiro Kajita

Murtuza Petladwala

Yuko Ohta

Alexander Viehweider

Rie Iwasaki

A vehicle weight estimation apparatusincludes: a collecting unitthat collects vibration information indicating vibration output from a sensorinstalled to a structure having a vibration-generating structure that generates vibration upon passage of a vehicle; an axle response extracting unitthat detects, by using the vibration information, axle responses indicating the passage of one or more axles of the vehicleover the vibration-generating structure; an axle index calculating unitthat calculates axle indices corresponding to the individual axles based on the axle responses; a converting unitthat converts the axle indices into axle weights by referring to conversion information that is stored in advance and that indicates a relationship between axle indices and axle weights; and a vehicle weight calculating unitthat calculates the weight of the vehicle by totaling the axle weights of the individual axles.

Vehicle weight estimation apparatus, vehicle weight estimation method, and computer readable recording medium

An information processing device is configured to receive a test signal related to a content. Accordingly, the information processing device can discriminate the status of a transmission path based on the state of the received test signal.

Information processing device, information processing system, information processing method, and program

A state estimation apparatus comprises a power information acquisition part that acquires time-series data of a power value of a freezer showcase; a power information storage part that stores power information during an intermittent operation of the freezer showcase in a normal state; an evaluation part that evaluates power information during the intermittent operation of the freezer showcase from the time-series data of the power value and derives a degree of difference from the power information during the intermittent operation of the freezer showcase in a normal state; a filter cleaning determination part that estimates how clogged a filter of the freezer showcase is based on the degree of difference and determines whether or not the filter needs to be cleaned; and an output part that provides, for a determination result indicating that the cleaning of the filter is necessary, an output to that effect.

State estimation apparatus, method, and program storage medium

A state estimation apparatus acquires current information at a power supply part of a refrigeration/freezing facility, derives a degree of change in current information acquired at a state estimation practice time point and derives a degree of change with respect to at least one pair of pieces of current information out of current information acquired at a predetermined time interval before state estimation is practiced, determines whether or not cleaning of the filter of the refrigeration/freezing facility has been practiced, based on the degree of change with respect to at least one pair of pieces of the current information and the degree of change in the current information acquired at the state estimation practice time point.

State estimation apparatus, method, and program recording medium

There are provided a repair determination section that determines, based on failure information on the facility for manufacturing a product, a repair time required to repair the facility, and a recovery plan creation section that creates a recovery plan in accordance with a predetermined production evaluation indicator, based on the repair time and production information on a line with the failed facility, one or more other facilities, and on one or more other lines.

Production management apparatus, method, and non-transitory medium

A state estimation apparatus is configured to extract a time interval to be analyzed from a time series of a first signal based on a second signal acquired in conjunction with the first signal relating to the operation of the facility, and estimate a change in a state of the facility based on waveform data of the time interval of the first signal.

State estimation apparatus, method, and program

A state estimation apparatus includes: a current information acquisition part that acquires information about a current at a power supply part of a refrigerating/freezing apparatus; a current information storage part that holds current information in a normal state of the refrigerating/freezing apparatus; an evaluation part that derives a degree of change based on the acquired current information and the current information in the normal state of the refrigerating/freezing apparatus; a filter cleaning determination part that estimates a clogging state of a filter of the refrigerating/freezing apparatus based on the degree of change to determine whether cleaning of the filter is necessary; and an output part that provides, for a determination result indicating that the cleaning of the filter is necessary, an output to that effect.

A maintenance monitoring apparatus includes: a maintenance management part that manages, based on a monitoring result of a current or power of a vending machine that provides a beverage by extracting the beverage from a raw material, whether an operation performed on the vending machine is a predetermined maintenance operation and whether the maintenance has been executed at an appropriate time interval and as many times as necessary; and a notification part that notifies that a maintenance has been executed or not.

Maintenance monitoring apparatus, system, method, and program

A monitoring device () includes a feature amount storage unit () that stores a device feature amount which is a feature amount of each of a plurality of electrical devices installed in a predetermined unit in operation; a measured data acquisition unit () that acquires measured data of the predetermined unit which is at least one of a total current consumption, a total power consumption, and a voltage measured in the predetermined unit; a feature amount extraction unit () that acquires a measurement feature amount which is the feature amount included in the measured data of the predetermined unit; a correction unit () that corrects a first feature amount which is the device feature amount or the measurement feature amount based on unit feature information indicating a feature of the predetermined unit; and a presumption unit () that presumes the electrical device being in operation using the corrected first feature amount, and a second feature amount which is the device feature amount or the measurement feature amount, and a different feature amount from the first feature amount.

Monitoring device, monitoring system, monitoring method, correction information generation device, correction information generation method, and non-transitory storage medium

Provided is a monitoring apparatus including an acquisition unit that acquires first time-series data which is time-series data of a measured value and/or a feature amount regarding an electrical device group, and a registration and updating unit that, when a difference in values between a pre-state-change data value which is any one of a data value at a first point in time in the first time-series data and a statistic of a plurality of data values from a point in time earlier than the first point in time by a predetermined period of time to the first point in time and a post-state-change data value which is any one of a data value at a second point in time later than the first point in time and a statistic of a plurality of data values from the second point in time to a point in time later than the second point in time by a predetermined period of time satisfies a predetermined condition, stores a feature amount extracted from any waveform data of a total current consumption, a total power consumption, and a total input voltage of the electrical device group corresponding to the pre-state-change data value and the post-state-change data value which satisfy the predetermined condition, in a feature amount storage unit.

Monitoring apparatus, monitoring method, and storage medium

Provided is an information providing apparatus () including a reliability determination unit () that determines a reliability of an inference result obtained by inferring an operation state of a monitored electric device group, on the basis of time-series measurement data and training data, the time-series measurement data including any one of current consumption and power consumption of the monitored electric device group and the training data associating each of a plurality of the operation states which can be assumed by the electric device group with a feature value of each of the plurality of operation states, and an output unit () that outputs information related to the reliability.

Information providing apparatus, information providing method, and storage medium

As means for solving the above-described problem, there is provided a data processing device () including a measurement data acquisition unit () that acquires measurement data indicating a temporal change in at least one of current consumption and power consumption of an electrical apparatus, a reference component extraction unit () that extracts a reference component of the current consumption and a reference component of the power consumption from the measurement data, and a feature value acquisition unit () that acquires a feature value of each reference component.

Data processing device, data processing method, and non-transitory storage medium

In order to solve the above-described problem, there is provided a data processing device () including a measurement data acquisition unit () that acquires measurement data indicating a temporal change in at least one of current consumption and power consumption of an electrical apparatus, a fluctuation component extraction unit () that extracts a fluctuation component related to fluctuation in the current consumption and a fluctuation component related to fluctuation in the power consumption from the measurement data, and a feature value acquisition unit () that acquires a feature value of the fluctuation component.

A training data generation device () includes: a measurement data acquisition unit () that acquires measurement data including waveform data including at least one of a current consumption waveform, an input voltage waveform, and a power consumption waveform along a time axis of an electrical device and power consumption value data indicating time-series power consumption values of the electrical device; an analysis unit () that analyzes a rate of occurrence of each power consumption value using the power consumption value data; a specifying unit () that specifies one or more specific power consumption value bands including a power consumption value with the higher rate of occurrence than that of a standard power consumption value and having a predetermined power value width; a feature amount extraction unit () that determines a representative power value for each specific power consumption value band and extracts a feature amount using the waveform data; and a storage unit () that stores a pair of the representative power value determined based on each specific power consumption value band and a training feature amount which is the feature amount in association with the electrical device.

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Tokyo, Japan

Eisuke Saneyoshi