Omron Corporation

Reiko Hattori

Yuya Ota

Akira Nakajima

Shinsuke Kawanoue

Kosuke Tsuruta

Yuki Hirohashi

Toru Fujii

Toshifumi Minemoto

Kota Miyamoto

Takayoshi Matsuyama

Kohei Tomita

Takeshi Ashida

Hiroshi Kuribayashi

Takatoshi Katahata

Naohiro Kawai

Hiroki Koyama

Hideki Yachiku

Noriyuki Oikawa

Hideki Higashikage

Saeko Shibagaki

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 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.

An abnormality detection system, support device, and model generation method are provided for generating a more highly accurate abnormality detection model before an actual operation. A model generation part of an abnormality detection system includes a section for generating plural feature values from state values provided from a state value storage part, a section for selecting a combination of one or plural feature values among the plural generated feature values, a section for generating an extra learning data set having at least part of a data series of the feature values of the selected combination and a data series of statistically generated virtual feature values, and a section for evaluating a detection accuracy of a model corresponding to the feature values of the selected combination using the extra learning data set.

Abnormality detection system, support device, and model generation method

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

An information processing device determines, based on a preset threshold, whether the production index belongs to either a first section or a second section contained in one maintenance cycle of the member, wherein a change in the production index is larger in the second section than in the first section. The information processing device executes at least one of first processing in which the production index determined to belong to the first section is used and second processing in which the production index determined to belong to the second section is used.

Information processing device and information processing 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.

Operation state monitoring apparatus, learning data generation apparatus, method and program

A control apparatus for controlling a packaging machine that includes a conveyance mechanism for conveying an item to be packaged includes: an acquirer configured to acquire a detection result from a sensor for detecting an item to be packaged; a determiner configured to obtain elapsed time from a predetermined time point until when the item to be packaged is detected by the sensor, based on the detection result acquired by the acquirer, and determine a shift direction in which the item to be packaged is shifted from a predetermined position, based on the elapsed time; and a controller configured to control, for the item to be packaged for which detection is performed by the sensor, implementation of any one of downstream units that are downstream of a unit in which the detection is performed by the sensor, based on the shift direction that is determined by the determiner.

Packaging machine, control apparatus for packaging machine, control method, and program

A control apparatus for controlling a production or manufacturing apparatus that performs processing for sequentially producing an item to be produced through units arranged in a line, includes: a physical quantity acquirer that acquires a physical quantity representing a state of processing in a unit subjected to monitoring for each cycle, the cycle being defined as unit processing time of processing performed by each unit; an abnormality determiner that determines occurrence of an abnormality in the unit, based on the physical quantity or a feature value extracted from the physical quantity; and a control instructor that specifies, when it is determined that an abnormality occurs in the unit, a cycle during which a downstream unit performs processing on an item to be produced that is affected by the abnormality, and perform control so that abnormality handling processing is performed as processing in the specified cycle by the downstream unit.

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Kyoto, Japan

Reiko Hattori