A gateway for retrieving telemetry data from a field device and for transmitting the retrieved telemetry data to a cloud server, wherein the gateway comprises a cloud communication component which is designed to specify periodic request points in time at which an internal gateway request for a current variable value of a variable of the telemetry data is to be made, as well as a field device communication component which is designed to carry out a variable retrieval of the current variable value from the field device at periodic retrieval points in time. The gateway is designed to set the phase of the periodic retrieval points in time relative to the periodic request points in time such that the respective current variable value has already been retrieved from the field device at the request point in time of this gateway request and is present in the field device communication component.

A programmable controller includes a time allocation setting section for setting execution time allocation, a stage analysis section for analyzing the operation stage of a machining system, a measurement section for measuring cycle time, and a machine learning device for learning the changing of the execution time allocation to sequence programs. The machine learning device includes: a state observation section for observing execution time allocation data, operation stage data, and machine operation pattern data as a state variable; a determination data acquisition section for acquiring, as determination data, cycle time determination data for determining whether cycle time taken to execute the operation stage is appropriate; and a learning section for learning the changing of the execution time allocation in relation to the operation stage of the machining system and an operation pattern of the machine.

A programmable controller includes a time allocation setting section for setting execution time allocation, a stage analysis section for analyzing the operation stage of a machining system, a measurement section for measuring cycle time, and a machine learning device for learning the changing of the execution time allocation to sequence programs. The machine learning device includes: a state observation section for observing execution time allocation data, operation stage data, and machine operation pattern data as a state variable; a determination data acquisition section for acquiring, as determination data, cycle time determination data for determining whether cycle time taken to execute the operation stage is appropriate; and a learning section for learning the changing of the execution time allocation in relation to the operation stage of the machining system and an operation pattern of the machine.

A gateway for retrieving telemetry data from a field device and for transmitting the retrieved telemetry data to a cloud server, wherein the gateway comprises a cloud communication component which is designed to specify periodic request points in time at which an internal gateway request for a current variable value of a variable of the telemetry data is to be made, as well as a field device communication component which is designed to carry out a variable retrieval of the current variable value from the field device at periodic retrieval points in time. The gateway is designed to set the phase of the periodic retrieval points in time relative to the periodic request points in time such that the respective current variable value has already been retrieved from the field device at the request point in time of this gateway request and is present in the field device communication component.