Omron Corporation

Takahiro Toku

Yasuaki Abe

Yuki Ueyama

Shuji Inamoto

Ko Kawai

Tatsuya Kojima

Kota Miyamoto

Hisanori Igarashi

Atsushi Kitamura

A control system includes: a generation unit that generates a dataset for each unit section; a feature extraction unit that generates feature quantity data on the basis of the dataset; and a score calculation unit that calculates a score indicating a degree of deviation of the feature quantity data from learning data, by referring to the learning data. The feature quantity data and the score are output as compression results of the dataset. The control system includes a restoration unit that selects pattern data corresponding to a class determined according to the score contained in the compression result, and after adjusting the pattern data using the feature quantity data contained in the compression results, restores the pattern data as a temporal change in the dataset corresponding to the compression results.

Control system and control method

A prediction control development device according to one aspect of the present invention generates a prediction model of a control amount by analyzing first time-series data of the control amount and provides the generated prediction model to a controller. The prediction control development device acquires second time-series data showing transition of a value of the control amount during prediction control using the prediction model, and evaluates prediction accuracy of the prediction model based on a difference between a prediction value by the prediction model and a value of the second time-series data. When the prediction accuracy of the prediction model is not allowable, the prediction control development device analyzes the second time-series data to newly generate a prediction model of the control amount, and provides the newly generated prediction model to the controller.

Prediction control development device, prediction control development method, and computer readable storage medium

A control apparatus includes: a management unit that updates internal state values for each control period with a state value generated in a subject to be controlled; a feature quantity extraction unit that calculates a feature quantity from a change of a second internal state value for each unit section determined according to a value of a first internal state value; and an abnormality detection unit that generates detection results indicating whether any abnormality has occurred in a subject to be monitored included in the subject to be controlled, on the basis of the feature quantity. The feature quantity extraction unit and the abnormality detection unit output the values of the first internal state value used to determine the unit section, in correspondence with the corresponding unit section.

Control apparatus and non-transitory computer readable medium for detecting abnormality occurring in subject to be monitored

A control device includes: a feature extraction unit that calculates one or more feature amounts from one or more state values; a processing unit that calculates a score based on the one or plurality of feature amounts calculated by the feature extraction unit with reference to a learning model; a determination unit that generates a determination result indicating whether any abnormality has occurred in a monitoring target based on the score; a first data storage unit that stores at least one of data related to processing in the feature extraction unit and data related to processing in the processing unit; a second data storage unit that stores an arbitrary state value capable of being referred to by the control device; and an authority management unit that restricts access to the first data storage unit.

Control device

The present invention reduces the probability of malfunction occurrence when performing predictive control of a device being controlled. In this control device of one aspect of the present invention, a prediction model for a control variable is used to calculate a prediction value from a measured value of the control variable, and a desired command value of the control variable is determined by correcting a desired basic value in accordance with the calculated prediction value. The degree of correction is determined on the basis of weight. The control device controls the operation of the device being controlled according to the determined desired command value. The control device assesses whether the device being controlled is operated appropriately on the basis of monitoring data relating to the operation result of the device being controlled, and optimizes the weight of the correction to make appropriate control possible based on the assessment result.

Control device, control method, and control program

This control system includes: a first arithmetic unit for doing cyclic execution of a first task to which one or a plurality of processes are allocated using a first control cycle; and a second arithmetic unit for doing cyclic execution of a second task to which one or a plurality of processes are allocated using a second control cycle that is longer than the first control cycle. For the first task, a first data collection process with a first input data as the target and a corresponding first data processing process are allocated. Depending on the setting via the support device, a second data collection process with a second input data as the target and a corresponding second data processing process are allocated to either of the first task and the second task.

Control system and control device

A control device includes a processor that executes a plurality of tasks including a control task and a non-control task that performs related processing related to real-time control, a multitask execution part that causes the processor to execute the tasks in a sequence based on priorities of the respective tasks, and a scheduler. The control task is set to have a highest priority. The scheduler sets the priority of the non-control task to a first priority when an execution start condition of the non-control task has been satisfied, keep the priority of the non-control task at the first priority while the period of time from the execution start is less than or equal to a first time period for executing the related processing in real time, and thereafter reduces the priority to a second priority when the period of time has exceeded the first time period.

To read respective values as updated of a plurality of variables synchronization of which respective values is ensured while tasks are being carried out in a multi-tasking manner, a PLCreads respective values as updated of variables A to C in such a manner as to complete reading the respective values as updated of the variables A to C during a time period from (i) a time point of a start of a single instance of a cycle of a task which cycle is shortest to (ii) a time point of an end of the single instance of the cycle.

Control device, control method for control device, information processing program, and recording medium

An object of the present disclosure is to provide an environment where the functions of communicating with an external device are multiplexed in a controller. A controller executes a plurality of communication programs, and executes a user program for controlling an object to be controlled, the user program including an instruction for communicating with an external device. The controller includes a communication interface that is connectable to any of the plurality of communication programs and controls communication between the plurality of communication programs and the external device. The controller receives data to be communicated to the external device when the instruction is executed, and based on a destination of the data, determines a communication program for transmitting the data to the external device, from among the plurality of communication programs.

Controller, control method and program

A control system that can adjust a period required for detecting an abnormality occurring in a control object is provided. The control system includes: feature quantity creating means that creates a feature quantity from data which is acquired from the control object based on a first parameter associated with elements defining the feature quantity; deviation acquiring means that acquires a degree of deviation between the feature quantity created by the feature quantity creating means and a group of feature quantities stored by a storage means based on a second parameter associated with a range in the group of feature quantities; abnormality detecting means that detects an abnormality occurring in the control object based on the degree of deviation acquired by the deviation acquiring means and a threshold value; and instruction means that instructs the deviation acquiring means to start execution based on an execution cycle of the deviation acquiring means.

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Kusatsu, Japan

Takahiro Toku