Abstract: There is provided a model selection apparatus including: an evaluation model storage unit configured to store each of a plurality of evaluation models capable of outputting an index for evaluating a state of a facility that is configured to manufacture a product from a raw material, in association with the raw material; a property data acquisition unit configured to acquire property data indicating a property of the raw material which is used in the facility; a model selection unit configured to select a target model for evaluating the state of the facility based on the property data, from among the plurality of evaluation models, when a target raw material in the facility is used; and a target model output unit configured to output the target model.

Abstract: An evaluation model generating apparatus, including: a property data obtaining unit which obtains property data representing a property of a raw material to be used in equipment that manufactures a product from the raw material; a determining unit which determines, based on the property data, whether to generate an evaluation model that outputs an indicator obtained by evaluating a state of the equipment; and an evaluation model generating unit which generates, according to a result of the determining, the evaluation model by machine learning, is provided. In the evaluation model generating apparatus, the determining unit may determine, if it is judged that a target raw material is not similar in property to a raw material that has been used in the past based on the property data, to generate the evaluation model.

Abstract: An estimation apparatus is provided, including an abnormality index acquisition unit for acquiring, as an abnormality index, an evaluation index output by an evaluation model according to state data being input when an abnormality occurs in a facility, among the state data indicating a state of the facility when an operation model is used to control a control target, the operation model being generated by reinforcement learning where an output of the evaluation model trained by machine learning to output the evaluation index in accordance with the state of the facility is set as at least a part of a reward, and outputting an action in accordance with the state of the facility; an estimation unit for estimating which of the evaluation model or the operation model is a main cause of the abnormality; and an output unit for executing an output in accordance with a result of the estimate.

Abstract: Provided is a model selection apparatus including a candidate model storage unit configured to store a plurality of candidate models each of which is generated by reinforcement learning using, as at least a part of a reward, an output of an evaluation model configured to output an indicator obtained by evaluating a state of equipment and is capable of output an action, a state data acquisition unit configured to acquire a plurality of pieces of state data representing the state of the equipment in a case where each of manipulated variables based on outputs of the plurality of candidate models is applied to a controlled object in the equipment, an indicator acquisition unit configured to acquire a plurality of indicators, a model selection unit configured to select an object model for controlling the controlled object, and an object model output unit configured to output the object model.

Abstract: There is provided a control apparatus including: a model output acquisition unit configured to acquire an operation model output which is output according to inputting state data indicating a state of a facility, to an operation model trained by machine learning to output an action in accordance with the state of the facility by using simulation data from a simulator that simulates an operation in the facility; an index acquisition unit configured to acquire an index which is calculated by using real data from the facility and which is for monitoring a difference between a behavior of the simulator and an actual operation in the facility; a correction unit configured to correct the operation model output based on the index; and a control unit configured to output a manipulated variable for controlling a control target provided in the facility, according to the corrected operation model output.

Abstract: Provided is a model verification apparatus including a model storage unit configured to store a machine learning model that has been subjected to machine learning, by using a learning sample including state data indicating a state of equipment in which a controlled object is provided and action data indicating an action for deciding a manipulated variable to be applied to the controlled object, so as to output an action according to the state of the equipment, a learning range identification unit configured to identify a learning range indicating a range of the learning sample, a verification data acquisition unit configured to acquire verification data indicating a plurality of states of the equipment outside the learning range, and a verification result output unit configured to output a verification result indicating a plurality of actions to be output by the machine learning model in response to an input of the verification data.

Abstract: A program causes an information processing apparatus to execute operations including determining whether, in a training data set including a plurality of pieces of training data, the count of a first label and the count of a second label are imbalanced, generating, by dividing the training data set, a plurality of subsets each including first training data characterized by the first label and at least a portion of second training data characterized by the second label, the first training data having a count balanced with the count of the second label, generating a plurality of first learning models based on each of the generated subsets, and saving the plurality of first learning models when it is determined that the value of a first evaluation index for the generated plurality of first learning models is higher than the value of a second evaluation index.

Abstract: An apparatus is provided comprising an acquisition unit configured to acquire a plurality of types of measurement data indicating a state of a target, a supplying unit configured to supply, in response to the plurality of types of measurement data being input, measurement data acquired by the acquisition unit to a model that outputs a state indication value indicating a quality of a state of the target, a setting unit configured to set, as data to be displayed, at least one piece of measurement data, among the plurality of types of measurement data, having a larger influence on the state indication value than a reference, and a display control unit configured to display the state indication value output from the model along with a measurement value of the data to be displayed.

Abstract: The learning data processing device includes the data processing unit configured to generate learning data used in the learning device that generates a learning model on the basis of time-series data including at least one kind of measured value.

Abstract: A device setting apparatus according to one aspect of the present invention includes a data transmission processor configured to automatically and collectively acquire information used in at least one another device setting apparatus as other-device information from an external storage and an other-device information storage storing the other-device information. The external storage is communicatively connectable to the device setting apparatus via a network.

Abstract: A manager includes a storage that stores a registration information associated with an identification information and an information processing method, the identification information being assigned to each management target which is managed by the manager, the information processing method being for obtaining a state information indicating a state of the management target, an image obtainer configured to obtain an image, a reader configured to read the identification information included in an identifier in the image obtained by the image obtainer, and an information processor configured to obtain, from the storage, the information processing method which is associated with the identification information read by the reader, the information processor being configured to obtain the state information by using the information processing method obtained by the information processor.

Abstract: A device setting apparatus according to one aspect of the present invention includes a data transmission processor configured to automatically and collectively acquire information used in at least one another device setting apparatus as other-device information from an external storage and an other-device information storage storing the other-device information. The external storage is communicatively connectable to the device setting apparatus via a network.

Abstract: A setting system of field devices may include a first communication path, a terminal device, a relay device, and a second communication path. The terminal device may include a receiving unit that receives an input operation of information, a first setting unit that performs the first setting for each of the field devices by transmitting information necessary for the first setting from the terminal device to each of the field devices through the second communication path in response to the input operation received by the receiving unit, and a second setting unit that performs a second setting for the terminal device, the second setting being necessary with the first setting for each of the field devices in response to the input operation received by the receiving unit.

Abstract: There is provided a device information setting apparatus. The apparatus includes: a storage format storing unit configured to store a first storage format of first device information in a first field device and a second storage format of second device information in a second field device; an acquiring unit configured to acquire the first device information based on the first storage format; a conversion unit configured to convert the first device information into the second device information, based on the second storage format; and a writing unit configured to write the second device information in the second field device.

Abstract: A setting system of field devices may include a first communication path, a terminal device, a relay device, and a second communication path. The terminal device may include a receiving unit that receives an input operation of information, a first setting unit that performs the first setting for each of the field devices by transmitting information necessary for the first setting from the terminal device to each of the field devices through the second communication path in response to the input operation received by the receiving unit, and a second setting unit that performs a second setting for the terminal device, the second setting being necessary with the first setting for each of the field devices in response to the input operation received by the receiving unit.

Abstract: There is provided a device information setting apparatus. The apparatus includes: a storage format storing unit configured to store a first storage format of first device information in a first field device and a second storage format of second device information in a second field device; an acquiring unit configured to acquire the first device information based on the first storage format; a conversion unit configured to convert the first device information into the second device information, based on the second storage format; and a writing unit configured to write the second device information in the second field device.