Abstract: 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.

Abstract: Provided is an apparatus including a supply unit suppling a value of a state parameter to an operation model outputting a recommendation value of a control parameter of a piece of equipment in response to a value of a state parameter relating to the piece of equipment being input; a control parameter acquisition unit acquiring a recommendation value of a control parameter output from the operation model in response to the supply unit supplying a value of a state parameter to the operation model; an acquisition unit acquiring a model evaluation value corresponding to a result of having operated the piece of equipment according to the recommendation value acquired by the control parameter acquisition unit; and an evaluation unit evaluating the operation model, based on the model evaluation value and a reference evaluation value corresponding to a result of having operated the piece of equipment through manipulation by a human.

Abstract: 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.

Abstract: There is provided a learning processing apparatus comprising: a learning processing unit configured to generate a control model that outputs a manipulated variable corresponding to an indicated variable and a process variable of a predetermined system by means of machine learning; a generation unit configured to generate controlling data that indicates a correspondence relation of a combination of the indicated variable and the process variable to the manipulated variable corresponding to the combination by using the control model; and a supply unit configured to supply the controlling data to a predetermined control apparatus.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Provided is an apparatus including a plurality of agents that each set some devices among a plurality of devices provided in a facility to be target devices, wherein each of the plurality of agents includes a state acquiring section that acquires state data indicating a state of the facility; a control condition acquiring section that acquires control condition data indicating a control condition of each target device; and a learning processing section that uses learning data including the state data and the control condition data to perform learning processing of a model that outputs recommended control condition data indicating a control condition recommended for each target device in response to input of the state data.

Abstract: 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.

Abstract: Provided is an apparatus including a plurality of agents that each set some devices among a plurality of devices provided in a facility to be target devices, wherein each of the plurality of agents includes a state acquiring section that acquires state data indicating a state of the facility; a control condition acquiring section that acquires control condition data indicating a control condition of each target device; and a learning processing section that uses learning data including the state data and the control condition data to perform learning processing of a model that outputs recommended control condition data indicating a control condition recommended for each target device in response to input of the state data.

Abstract: A wireless relay device for relaying encrypted data via a wireless network according to one aspect of the present invention includes a relay controller and an encryption processor. The relay controller is configured to relay a first data to a predetermined relay destination as a second data via the wireless network. The first data is transmitted to the wireless relay device via the wireless network and is addressed to the wireless relay device. The encryption processor is configured to decrypt the first data into a decrypted first data and to input the decrypted first data into the relay controller, and encrypt the second data to be relayed by the relay controller.

Abstract: This communication device that can, for each timeslot, switch the communication partner for performing wireless communication, is characterized by being provided with: a plurality of antennas including at least one directional antenna; at least one communication circuit that transmits/receives a signal with the communication partner using the antennas; and a control unit that allocates the communication circuit and the antennas used in wireless communication on a timeslot-by-timeslot basis.

Abstract: A wireless relay device for relaying encrypted data via a wireless network according to one aspect of the present invention includes a relay controller and an encryption processor. The relay controller is configured to relay a first data to a predetermined relay destination as a second data via the wireless network. The first data is transmitted to the wireless relay device via the wireless network and is addressed to the wireless relay device. The encryption processor is configured to decrypt the first data into a decrypted first data and to input the decrypted first data into the relay controller, and encrypt the second data to be relayed by the relay controller.

Abstract: This communication device that can, for each timeslot, switch the communication partner for performing wireless communication, is characterized by being provided with: a plurality of antennas including at least one directional antenna; at least one communication circuit that transmits/receives a signal with the communication partner using the antennas; and a control unit that allocates the communication circuit and the antennas used in wireless communication on a timeslot-by-timeslot basis.

Abstract: A gait analysis system has: a gait sensor which is to be attached to one foot or both feet of a walking person, and which wirelessly outputs detection data of at least one of an acceleration and an angular velocity; a portable terminal which receives the detection data, and which stores the data for a predetermined time period; and a gait analyzing apparatus which, based on the detection data obtained from the portable terminal, calculates two- or three-dimensional position information and status information of the foot or feet at an arbitrary time.