Omron Corporation

Omron Healthcare Company Ltd.

Yuya Ota

Reiko Hattori

Akira Nakajima

Shinsuke Kawanoue

Hiroshi Nakajima

Masakazu Tsutsumi

Hironori Sato

Hirotaka Wada

Naoki Tsuchiya

Toru Fujii

Kosuke Tsuruta

Toshikazu Shiga

Ayako Kokubo

Mitsuo Kuwabara

Keiichi Obayashi

Eriko Kan

Masaaki Kasai

Ken Miyagawa

Toru Uenoyama

Toshifumi Minemoto

Yuki Hirohashi

Kota Miyamoto

Naohiro Kawai

Takatoshi Katahata

Hideki Higashikage

Noriyuki Oikawa

Hiroki Koyama

Shin Egami

An information management device includes: a first data storage unit which stores first data relating to at least one of data on equipment and operation behavior data concerning the equipment up to occurrence of an event; an event information generation unit which classifies the event on the basis of the first data and generates event information associated with the first data; a second data storage unit which stores second data in which the data on the equipment encompassing before and after maintenance work in response to the event is associated with maintenance behavior data concerning the equipment; a maintenance information generation unit which associates the event information with the second data and generates maintenance information corresponding to each piece of event information; and a maintenance information storage unit which stores the generated maintenance information.

Information management device and information management method for classifying event occurred in equipment and generating maintenance information

A display system includes a display device in production equipment. The display device includes a control unit, a display unit, a storage unit, and an input unit. The storage unit stores: schematic illustration data that represent a schematic illustration of the production equipment; and causal relationship model data in which one or more cause elements of one or more abnormalities that can occur in the production equipment are selected from driving means for driving the production equipment and monitoring means for monitoring the production, and the cause elements and the relationships between the cause elements are represented as a causal relationship model. The control unit displays the schematic illustration and the causal relationship model on the display unit such that the causal relationship model is superimposed on the schematic illustration so as to correspond to the schematic illustration.

Display system, display method, and non-transitory computer-readable recording medium recording display program

A display system provided in production equipment having driving means and monitoring means with controllable features includes a control unit, a display unit, and a storage unit. The control unit obtains a feature output over time from at least one among the driving means and the monitoring means, and causes the storage unit to store the feature; constructs, in each prescribed time, a causal relationship model that indicates a causal factor selected from among the driving means and the monitoring means for at least one abnormality that can occur in the production equipment and that also indicates the relationship between causal factors on the basis of the obtained feature; and displays, on the display unit, a plurality of causal relationship models constructed in a plurality of times.

Display system, display method, and non-transitory computer-readable recording medium recording display program for checking cause of abnormality

A graph display device according to one aspect of the present invention generates a first directed graph, which contains a plurality of first nodes respectively representing device variables, edges representing the existence of a dependency relation, and a block representing a function, and a second directed graph, which contains a plurality of first nodes, edges, a block, and a plurality of second nodes arranged in the block and respectively representing function parameters. In response to an instruction from a user the display device switches between displaying the generated first directed graph and displaying the generated second directed graph.

Graph display device, graph display method, and recording medium

A technology for associating and ascertaining the location of device variables which are in a control program and correspond to devices, and the dependency relations between the device variables, when division programming is carried out, is provided. A graph display device according to one aspect of the present invention generates a first directed graph, which comprises a plurality of first nodes respectively representing the device variables, and edges representing the existence of a dependency relation, and a second directed graph, which comprises a plurality of regions corresponding respectively to each subprogram, a plurality of first nodes, and edges, wherein the first nodes are arranged in a region of a subprogram that uses the device variable to be expressed from among the plurality of regions. In response to an instruction from a user the display device switches between displaying the generated first directed graph and displaying the generated second directed graph.

An analysis device according to one aspect of the present invention supplies a definition for a dependency relation between an input parameter and an output parameter of a standard function, which cannot be derived in a dependency analysis of a control program, the definition being supplied by use of function structure information which is external information. In other words, an analysis device according to this configuration identifies a dependency relation between an input parameter and an output parameter of the standard function on the basis of function structure information that defines a dependency relation between the input parameter and the output parameter of the standard function. Therefore, the dependency relation between the input and the output of a standard function becomes clear, so the dependency relations between a plurality of device variables that mediate the standard function can be identified.

Analysis device, analysis method, and recording medium

A technology for associating and ascertaining dependency relations between device variables corresponding to respective devices with dependency relations of device variables for respective parameters of a function in a control program is provided. A graph display device according to one aspect of the present invention generates a first directed graph including a plurality of first nodes that respectively express device variables and edges that express having dependency relations, and a second directed graph including the plurality of first nodes, the edges, and a block that expresses the function, and switches and displays the generated first directed graph and second directed graph on a display device.

Graph display device, graph display method, and recording medium for associating and ascertaining dependency relations among device variables

An analysis device according to an aspect of the present disclosure: acquires a plurality of pieces of premise information and measurement data which relate to states of a plurality of mechanisms which configure a production line; identifies causal relationships among the plurality of mechanisms by statistically analyzing the plurality of pieces of measurement data under constraint conditions imposed by the premise information; outputs causal relationship information indicating the identified causal relationships; accepts a revision to the causal relationships indicated by the outputted causal relationship information; revises the premise information so as to impose the constraint conditions which comport with the revised causal relationships; and saves the revised premise information.

Analysis device, analysis method, and non-transitory computer readable storage medium

A biological information analyzing device includes: an indicator extraction unit that extracts an indicator pertaining to a characteristic of a blood pressure waveform using data of the blood pressure waveform obtained by a sensor, which is worn on a user's body and can non-invasively measure the blood pressure waveform for each of heartbeats, continuously measuring the blood pressure waveform; and a processing unit that carries out a process based on the extracted indicator.

Biological information analysis device, biological information analysis system, program, and biological information analysis method

A display system is provided in production equipment that has driving means and monitoring means, having controllable features. The display system includes a control unit, a display unit, a storage unit, and an input unit. The storage unit stores: the features output over time from one or more of the driving means and the monitoring means; and causal relationship model data in which one or more causal factors of one or more abnormalities that can occur in the production equipment are selected from among the driving means and the monitoring means and expressed as a causal relationship model in association with a relationship between the causal factors. The control unit displays, on the display unit, the causal factors of the individual abnormalities, the one or more features corresponding to the causal factors, and changes over time in the features.

A biological information analysis device including: an indicator extraction unit configured to extract an indicator indicating a cardiac state, from data regarding blood pressure waveforms that are consecutively measured by a sensor that is configured to be worn on a body part of a user and to be capable of non-invasively measuring a blood pressure waveform for each heartbeat; and a processing unit configured to output the indicator extracted by the indicator extraction unit. The indicator extraction unit is configured to extract a value of a cardiac load indicator for each heartbeat, from the data regarding blood pressure waveforms, and calculate the indicator indicating the cardiac state, based on characteristics related to distribution of values of the cardiac load indicator corresponding to a plurality of heartbeats.

Biological information analysis device, system, and program

A biological information analysis device including: an indicator extraction unit that is configured to extract, from time-series data regarding blood pressure waveforms consecutively measured by a sensor that is configured to be worn on a body part of a user and to be capable of non-invasively measuring a blood pressure waveform for each heartbeat, data regarding blood pressure waveforms corresponding to a period of time in which a change in blood pressure occurs, and extract an indicator that is related to the functionality of respiratory organs of the user, based on characteristics of the blood pressure waveforms corresponding to the period of time; and a processing unit that performs processing that is based on the indicator thus extracted.

A prediction model creation apparatus includes a feature amount acquisition unit that acquires values of types of feature amounts that are calculated from operating state data indicating an operating state of a production facility that produces a product, for both a normal time at which the production facility produces the product normally and a defective time at which a defect occurs in the product that is produced, a feature amount selection unit that selects a feature amount effective in predicting the defect from among the acquired types of feature amounts, based on a predetermined algorithm that specifies a degree of association between the defect and the types of feature amounts, from the values of the types of feature amounts acquired at the normal time and the defective time, and a prediction model construction unit that constructs a prediction model for predicting occurrence of the defect, using the selected feature amount.

Prediction model creation apparatus, production facility monitoring system, and production facility monitoring method

When a product is produced at the facility, a product ID of the product to be produced and setting values of a plurality of control parameters are received from a console terminal, and a transformation model corresponding to the combination of the product ID of the product to be produced and setting values of the plurality of the control parameters is read from a transformation model storage part. Then, in accordance with the read transformation model, the reference learning data stored in a reference learning data storage part is data-transformed and individual learning data corresponding to the product to be produced is generated, and with use of the individual learning data, whether measurement data output from sensors in the facility is abnormal is discriminated.

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Kyoto, Japan

Yuya Ota