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公开(公告)号：US20230129189A1
公开(公告)日：2023-04-27
申请号：US17970561
申请日：2022-10-20
摘要： Provided is an apparatus including: a first acquisition unit acquiring an operation plan of a piece of equipment, and at least identification information of a parameter among target setting data used for learning of an operation model operating the piece of equipment, the target setting data including identification information of a parameter for which a target range is to be set among parameters relating to the piece of equipment and a target range set for the parameter; and a first learning processing unit performing, by using learning data including the identification information of the parameter and the operation plan acquired by the first acquisition unit, learning processing of a target setting model outputting at least one of the identification information or the target range of the parameter among the target setting data that should be used for learning of the operation model, in response to the operation plan being input.
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2.发明申请公开(公告)号：US20220291643A1
公开(公告)日：2022-09-15
申请号：US17676863
申请日：2022-02-22
摘要： Provided is a control apparatus, including a control unit, configured to control a control target by a machine learned control model to output an operation amount of the control target according to a state of equipment having the control target provided therein; a prediction unit, configured to predict a future state of the equipment; an adjusting unit, configured to adjust the operation amount based on a predicted result; and an output unit, configured to output an adjusted operation amount to the control target.
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公开(公告)号：US20210132556A1
公开(公告)日：2021-05-06
申请号：US17074648
申请日：2020-10-20
发明人： Junji YAMAMOTO , Hiroaki KANOKOGI , Keiichiro KOBUCHI , Yota FURUKAWA , Rei KARASAWA , Hiroto ABE
摘要： An apparatus is provided, which includes a setting unit for setting an operation content for a manufacturing system configured to manufacture an object to be manufactured, a first acquisition unit for acquiring a posterior state parameter set indicating a state of at least one of the manufacturing system or the object to be manufactured after the operation content is set, and a learning processing unit for executing, by using learning data including the operation content and the posterior state parameter set, a learning process of a control model of the manufacturing system configured to output the operation content that increases a reward value determined by a preset reward function in response to input of a state parameter set indicating a state of at least one of the manufacturing system or the object to be manufactured.
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4.发明申请公开(公告)号：US20230126567A1
公开(公告)日：2023-04-27
申请号：US17970544
申请日：2022-10-20
发明人： Go TAKAMI , Hiroaki KANOKOGI , Keiichiro KOBUCHI , Yota FURUKAWA
摘要： Provided is an operation system including: an evaluation model generation apparatus configured to generate, by machine learning, an evaluation model configured to output an indicator indicating a result of evaluating a state in a piece of equipment with respect to an intended target based on an operation target in the piece of equipment and a state in the piece of equipment; an operation model generation apparatus configured to generate an operation model configured to output an action corresponding to the state in the piece of equipment, by reinforcement learning in which an output of the evaluation model is set as at least a part of a reward; and a control apparatus configured to apply, to a controlled object in the piece of equipment, a manipulated variable based on the action that is output by the operation model according to the state in the piece of equipment.
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5.发明申请公开(公告)号：US20220291671A1
公开(公告)日：2022-09-15
申请号：US17676203
申请日：2022-02-20
IPC分类号： G05B19/418 , G06N20/00
摘要： Provided is a control apparatus comprising a control unit configured to control a control target by a control model machine-learned so as to output an operation amount of the control target according to a state of equipment provided with the control target; a simulation unit configured to simulate, by using a simulation model, the state of the equipment in a case where the operation amount, which is output by the control model, is given to the control target; and a stop unit configured to stop control of the control target by the control model, based on a simulation result.
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公开(公告)号：US20220284158A1
公开(公告)日：2022-09-08
申请号：US17676865
申请日：2022-02-22
IPC分类号： G06F30/27
摘要： Provided is a determination apparatus comprising: a state data acquisition unit configured to acquire state data indicative of a state of equipment provided with a control target; an operation amount data acquisition unit configured to acquire operation amount data indicative of an operation amount of the control target; a control model generation unit configured to generate a control model, which outputs the operation amount corresponding to the state of the equipment, by machine learning by using the state data and the operation amount data; a simulation unit configured to simulate, by using a simulation model, the state of the equipment in a case where the operation amount, which is output by the control model, is given to the control target; and a determination unit configured to determine whether control of the control target by the control model is possible, based on a simulation result.
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7.发明申请公开(公告)号：US20190018374A1
公开(公告)日：2019-01-17
申请号：US16031568
申请日：2018-07-10
发明人： Hiroaki KANOKOGI , Go TAKAMI
摘要： A plant control supporting apparatus includes a segment selector configured to select, from among a plurality of segments defined in a plant, a segment for which learning for acquiring an optimal value of at least one parameter representing an operation state is executed, a reward function definer configured to define a reward function used for the learning, a parameter extractor configured to extract at least one parameter that is a target for the learning in the selected segment on the basis of input and output information of a device used in the plant and segment information representing a configuration of a device included in the selected segment, and a learner configured to perform the learning for acquiring the optimal value for each segment on the basis of the reward function and the at least one parameter.
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公开(公告)号：US20230045222A1
公开(公告)日：2023-02-09
申请号：US17873116
申请日：2022-07-25
发明人： Liu ZHUO , Hiroaki KANOKOGI
IPC分类号： G06N20/00
摘要： Provided is a learning device including: a data acquisition unit configured to acquire, before control of a control target provided in equipment by a machine learning model that outputs an action corresponding to a state of the equipment, initialization data including state data indicating the state of the equipment and action data indicating an action on the control target; and a preliminary learning unit configured to initialize the machine learning model by performing preliminary learning on the basis of the initialization data before start of reinforcement learning corresponding to the control of the control target by the machine learning model.
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公开(公告)号：US20220284346A1
公开(公告)日：2022-09-08
申请号：US17679050
申请日：2022-02-23
发明人： Hiroaki KANOKOGI , Hirotsugu GOTOU , Yota FURUKAWA , Yoshio UOMORI , Masato KATSUKI , Keiji SATO , Fumihiro SAITO , Eiji TAYA , Tomotaka MAKI , Akifumi INOMATA
IPC分类号： G06N20/00
摘要： Provided is a learning apparatus comprising: a correspondence receiving unit for receiving a correspondence between each produced object of a target process and a quality evaluation of each downstream produced object produced by using each produced object of the target process; a learning processing unit for generating, through learning, an estimation model for estimating the quality evaluation of the downstream produced object, by using the at least one production parameter about the production of each produced object of the target process and the quality evaluation of each downstream produced object; a calculating unit for calculating a model evaluation based on at least one of certainty or complexity of the estimation model; and a model evaluation sending unit for sending the calculated model evaluation, to an evaluation apparatus for evaluating at least one upstream process by using a model evaluation about each of the at least one upstream process.
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公开(公告)号：US20220200790A1
公开(公告)日：2022-06-23
申请号：US17691124
申请日：2022-03-10
摘要： Provided is a data recording apparatus including a key exchange unit for exchanging a first encryption key with a system in response to authentication by the system, a data collection unit for collecting measurement data obtained by measuring a physical quantity associated with a measurement target, a data recording unit for recording the measurement data, and a data transmission unit for transmitting the measurement data encrypted using the first encryption key to the system. In addition, provided is a system including a key management unit for exchanging a first encryption key with a data recording apparatus in response to authentication of the data recording apparatus, a data obtaining unit for obtaining measurement data obtained by measuring a physical quantity associated with the measurement target encrypted by the data recording apparatus using the first encryption key, and a data management unit for managing the measurement data using a distributed ledger technology.
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