Abnormality Detection System and Abnormality Detection Method

    公开(公告)号:US20220397894A1

    公开(公告)日:2022-12-15

    申请号:US17828714

    申请日:2022-05-31

    Applicant: Hitachi, Ltd.

    Abstract: Provided are an abnormality detection system and an abnormality detection method capable of performing more stable abnormality detection. An abnormality detection system that detects an abnormality of the target machine by a computer includes a communication unit configured to acquire first data from a first sensor attached to the target machine and second data from a second sensor attached to the target machine, an arithmetic unit, and a memory unit. The arithmetic unit includes an encoding unit trained to generate latent expressions including a predetermined latent expression that estimates the second data on the basis of the first data, a decoding unit trained to restore the first data from the latent expressions, and an abnormality detection unit configured to detect the abnormality of the target machine on the basis of a restoration error between the first data and the first data restored by the decoding unit.

    POSITION ESTIMATION SYSTEM AND POSITION ESTIMATION METHOD

    公开(公告)号:US20220312365A1

    公开(公告)日:2022-09-29

    申请号:US17577525

    申请日:2022-01-18

    Applicant: Hitachi, Ltd.

    Inventor: Masaaki YAMAMOTO

    Abstract: A position estimation system includes: a processor; and a storage device. The storage device stores data associating measurement data obtained by a terminal device with a position identifier. The measurement data includes on a measured radio wave data, and data a measured acceleration. The processor specifies a period from when the terminal device acquires the position identifier until the processor determines that a user of the terminal device has moved; uses training data including the measurement data obtained by the terminal device during the specified period and the position identifier corresponding to the measurement data obtained by the terminal device to create a position estimation model that outputs the position identifier as a position estimation result when the position estimation model receives the measurement data; and when the processor receives the measurement data, estimates a position of the terminal device by using the measurement data and the position estimation model.

    WORK SUPPORT SYSTEM AND WORK SUPPORT METHOD

    公开(公告)号:US20210224752A1

    公开(公告)日:2021-07-22

    申请号:US17142840

    申请日:2021-01-06

    Applicant: HITACHI, LTD.

    Abstract: A highly-reliable work report is prepared while reducing the worker's burdens. A work support system 200 prepares a work report by using information including at least a video collected while conducting work. The work support system 200 includes: a work completion recognition unit 240 that judges a completion of the work from the information collected while conducting the work and recognizes completion time of day of the work; a video extraction unit 250 that extracts a video upon completion of the work from the video, which are collected while conducting the work, with reference to the completion time of day of the work; a work recognition unit 260 that recognizes a work item(s) of the work by using the extracted video upon completion of the work; and a work history generation unit 280 that generates a work history of the work in the work report on the basis of recognition results by the work completion recognition unit 240 and the work recognition unit 260.

    SPEECH DIALOGUE SYSTEM, MODEL CREATING DEVICE, MODEL CREATING METHOD

    公开(公告)号:US20190392005A1

    公开(公告)日:2019-12-26

    申请号:US16420479

    申请日:2019-05-23

    Applicant: Hitachi, Ltd.

    Abstract: A speech dialogue system automatically creates a plurality of slot value extraction models. The speech dialogue system includes: a value list in which a plurality of values indicating candidates of a character string and a plurality of value identifiers that identify the plurality of values are associated; and an answer sentence list in which slots that identify character string information and the value identifiers are associated. Each slot and each value identifier are associated with an answer sentence. An input character string is compared with slot value extraction models. A position of a slot associated with an assumed input character string is estimated, and a value corresponding to the estimated slot position is extracted. Learning data based on the value list, answer sentence list, and a peripheral character string list is created; and a model creating unit creates a first slot value extraction model based on the learning data.

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