Abstract: A communication system include: a first communication device configured to: add order information to each of the plurality of data sets; and sequentially transmit the plurality of data sets to which the order information is added; and a second communication device configured to: receive the plurality of data sets from the first communication device; arrange the plurality of received data sets in a standby buffer as ordered data sets based on the order information; and sequentially read the ordered data sets.

Abstract: A control system includes a factory system to control an actuator, and a learning system. The learning system extracts records for machine learning associated with the actuator from the factory system via a network, and generates an estimation model for estimating a condition of the actuator by machine learning using the records. The factory system includes a plurality of nodes including a control device to control the actuator, and a readable data construction device connected to the learning system via the network. The readable data construction device acquires data items associated with the actuator from at least one of the nodes other than the readable data construction device, and constructs readable data which is readable from the learning system. The readable data includes the data items associated with the actuator, and the learning system extracts the records from the readable data.

Abstract: A machine control system includes: a machine configured to execute a motion according to a machine command; and one or more servers configured to control the machine. The one or more servers include control circuitry configured to: repeat an execution of a motion program to generate the machine command for the machine; add first cycle information designating a first use timing to the machine command; and transmit the machine command including the first cycle information to the machine via a communication network. The machine includes a machine circuitry configured to: repeat a local processing for controlling the machine according to a machine control cycle; receive the machine command from the one or more servers; store the received machine command; and call the stored machine command, based on the first cycle information added to the stored machine command, to use the machine command in the local processing corresponding to the first use timing.

Abstract: The machine control system includes: a machine configured to execute a motion according to a machine command; a controller server configured to control the machine; and a communication server. The controller server includes control circuitry configured to repeat operations according to a control cycle, the operations including: executing a motion program to generate the machine command for the machine; adding first cycle information designating a first use timing to the machine command; and transmitting the machine command including the first cycle information to the communication server. The machine includes a machine circuitry configured to repeat local operations for controlling the machine according to a local control cycle.

Abstract: A control system includes a factory system to control an actuator, and a learning system. The learning system extracts records for machine learning associated with the actuator from the factory system via a network, and generates an estimation model for estimating a condition of the actuator by machine learning using the records. The factory system includes a plurality of nodes including a control device to control the actuator, and a readable data construction device connected to the learning system via the network. The readable data construction device acquires data items associated with the actuator from at least one of the nodes other than the readable data construction device, and constructs readable data which is readable from the learning system. The readable data includes the data items associated with the actuator, and the learning system extracts the records from the readable data.