Mitsubishi Electric Corporation

Mitsubishi Electric Research Laboratories, Inc.

Osamu Nasu

Takahiko Masuzaki

Ryo Kashiwagi

Ryuuichi Katou

Tsuyoshi Kobayashi

Toru Sasaki

Amit Kumar Agrawal

Hajime Nakajima

Jay E Thornton

Toshiaki Kubo

Takeshi Musha

Yoshiki Ono

Yoshinao Tatei

Naoyuki Fujiyama

Takuya Noguchi

Shigenori Takeda

Motoyuki Ozaki

Jijun Jin

Yusuke Matsushita

Haruhiko Takeyama

Tomoatsu Horibe

Koji Minami

Takaaki Nakamura

Junji Sukeno

Tomonori Fukuta

Noriyasu Fukatsu

Satoshi Tanabe

Masahide Koike

Makito Seki

Tetsushi Ishida

Yoshiyuki Hattori

Kiyofumi Takeuchi

Mariko Nishino

Tomohiro Onuki

Naoyuki Kimura

Kohei Kato

A development support device includes a document analyzing unit () that analyzes a described matter in development documents created in a development process and specifies functions described in the development documents; a component analyzing unit () that specifies a model corresponding to the specified functions and uses the analysis results of the described matter to generate multiple components conforming to a standardized format with respect to the specified model; and a model generating unit () that generates the specified model by incorporating components selected from the multiple components in accordance with the standardized format.

Development support device, non-transitory computer-readable medium, and development support method

A diagnosis device () includes an acquirer () and a diagnoser (). The acquirer () acquires a series of input values as an input signal to be diagnosed as to presence or absence of abnormality. The diagnoser () diagnoses the presence or absence of the abnormality from (i) a first index value indicating a distance between an input vector and a predetermined first reference vector, the input vector having components that are the input values of the series acquired by the acquirer (), and (ii) a second index value indicating an angle between the input vector and a predetermined second reference vector.

Diagnosis device, diagnosis method and program

A plurality of clients including a platform () and at least one client () communicate with each other in accordance with a publish-subscribe model. A topic common key manager () of the platform () provides, to the client (), a topic common key associated with a topic and being for encryption and decryption of a message directed to the topic. A message manager () transmits the message encrypted with the topic common key associated with the topic, and decrypts a received message with the topic common key associated with the topic. A topic common key storage () of the client () stores the topic common key provided from the platform () in association with identification information of the topic. A message manager () transmits the message encrypted with the topic common key, and decrypts a received message with the topic common key.

Data distribution system, data processing device, and program

A machine tool machining dimensions prediction device () includes: a data collector () to acquire driving state information of a machine tool; a feature amount extractor () to extract a feature amount from the driving state information; a data analyzer () to analyze the extracted feature amount; and a machining quality prediction model generator () to generate, from the analyzed information, a prediction model of a machining dimension of a workpiece. The machine tool machining dimensions prediction device () applies the feature amount and the driving state information to the prediction model during machining of the workpiece to predict a machining quality and refers to a machining dimension quality regulation to determine whether the machining quality satisfies a standard.

Machine tool machining dimensions prediction device, machine tool equipment abnormality determination device, machine tool machining dimensions prediction system, and machine tool machining dimensions prediction method

A data processing apparatus () includes multiple data processors () that each perform a set subprocess of multiple sequential subprocesses included in a process sequence and a data distributor () that mediates data exchange between the multiple data processors () in accordance with a publish-subscribe model. An ID checker () determines, based on identification information assigned to received data received from the data distributor (), whether received data is to be processed in the subprocess set to be performed by the data processor (). A data processing executor () performs the set subprocess when the ID checker () determines that the received data is to be processed in the set subprocess. A data converter () assigns new identification information to data resulting from the set subprocess performed by the data processing executor () and transmits the data assigned with the new identification information to the data distributor ().

Data processing system, data processing apparatus, and recording medium

A diagnostic device () includes an acquirer () and a diagnoser (). The acquirer () acquires a plurality of input signals including a target signal to be diagnosed for abnormality. The diagnoser () diagnoses, using a first index value relating to the target signal and a second index value relating to the plurality of input signals based on a correlation between the plurality of input signals, whether an abnormality occurs. The first index value indicates a degree of similarity of a waveform of the target signal to a predetermined reference waveform. The second index value is a value that is based on comparison between the target signal and a predetermined pattern and is calculated from values of the plurality of input signals.

Diagnostic device, diagnostic method and program

A data processing apparatus includes a first processing unit that executes real-time processing with respect to data, a second processing unit that executes batch processing with respect to data that is output from the first processing unit as a result of processing by the first processing unit, and a monitor that monitors a status of the processing by the first processing unit and a status of processing by the second processing unit. The first processing unit includes a plurality of subprocessing units and buffers, and the second processing unit also includes a plurality of subprocessing units and buffers. The second processing unit includes a storage. The monitor includes a first monitor that monitors, for each of the buffers included in the first processing unit, an amount of the data stored in the corresponding buffer and a second monitor that monitors a total amount of the data stored in the buffers included in the second processing unit and the data stored in the storage.

Data processing device, monitoring method, and program

An identification value generator included in a data processing apparatus generates, from data pieces collected from an FA device, at least one identity identification value. The identity identification value is a value for determining an identity of the data pieces. The update determiner determines whether current data and previous data are identical based on a current identification value and a previous identification value. The current data includes the data pieces currently collected, and the previous data includes the data pieces previously collected. The current identification value includes the identity identification value generated from the current data, and the previous identification value includes the identity identification value generated from the previous data. A data distribution controller distributes the current data to a data processor when the update determiner determines that the current data and the previous data are not identical.

Data processing apparatus, method, and recording medium

A data processing device (), which is connectable to another data processing device (), includes a data collector () to collect data from a machine (), a data processor () to process input data, a coordination processor () to provide the data collector () or the data processor () with data transmitted from the another data processing device () and provide the another data processing device () with the data collected by the data collector () or the data processed by the data processor (), and an execution controller () to control collection of data by the data collector (), processing of data by the data processor (), and transmission and reception of data to and from the another data processing device () by the coordination processor () in accordance with predetermined setting information for a data processing flow.

Data processing device including a data collector to collect data and output information relating to a result of execution of a data processing flow, data processing system, data processing method, and program

A receiver () receives an acquisition request to acquire a value of real resource information associated with a device () connected to a network or a value of virtual resource information associated with a calculation result of calculation performed using a value of the real resource information. A real resource information acquirer () acquires the value of the real resource information by causing a collector () to collect a value from the device () associated with the real resource information. A virtual resource information acquirer () acquires the value of the virtual resource information by causing a calculator () to perform calculation using the value of the real resource information. A responder () returns a response including the value of the real resource information or a response including the value of the virtual resource information based on the received acquisition request.

Management device, management system, management method, and program for providing virtual and real resource information values

A signal selection device () selects, from a plurality of candidate signals, a training signal for learning a model () usable for data analysis. The signal selection device () includes a first acquirer () that acquires the plurality of candidate signals and training labels associated with the plurality of candidate signals and being status values corresponding to results of analysis performed using the model, a feature calculator () that calculates one or more features for each of the plurality of candidate signals, and a selector () that selects the training signal from the plurality of candidate signals based on a degree of relevance between the one or more features and the training labels.

Signal selection device, learning device, and signal selection method and program

A data management device () includes an insertion position determiner () to determine an insertion position of dummy data to be inserted into transmission target data, a dummy data inserter () to insert the dummy data in the insertion position of the transmission target data to create dummy-inserted data, an insertion position encryptor () to encrypt data indicating the insertion position with a public key (PUBa) to create insertion-position-encrypted data; and a deliverer () to deliver the dummy-inserted data and the insertion-position-encrypted data.

Data management device, data management system, data management method, and program

A data analysis device () according to the present disclosure includes a data collector () and a data organizer (). The data collector () collects an input signal that is input from an apparatus connected to the data analysis device (). The data organizer () removes, from among waveforms included in the input signal collected by the data collector (), a waveform that has an appearance frequency lower than a reference frequency. The data organizer () generates learning data by collecting, from among the waveforms included in the input signal, waveforms that have an appearance frequency higher than the reference frequency.

Data analysis device, system, method, and recording medium storing program

An edge system () transfers data to a cloud server (). A flow controller () controls dataflow that is a flow of data processing in the edge system () of data collected from equipment. A gateway communicator () communicates with the cloud server () in compliance with a specification of an external interface that is publicly-released and defined with respect to receiving and sending of data from and to the cloud server (). A gateway connector () connects the flow controller () to the gateway communicator () to enable communication between the gateway communicator () and the flow controller (). The gateway communicator () communicates with the gateway connector () in compliance with a specification of an internal interface that is publicly-released and defined with respect to receiving and sending of data in the data processing system.

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Tokyo, Japan

Osamu Nasu