Abstract: A real-time automation device includes a real-time databus, and a memory device, wherein the databus is configured to transmit values associated with defined bus variables and configured to communicate a value associated with a bus variable from a bus variable source in accordance with a bus database via a databus to a bus variable receiver associated with the bus variable in accordance with the bus database such that, following transfer of the value from the bus variable source to the databus, the value is transferred within a predefined time period to the bus variable receiver, wherein the memory device also includes a software application which receives values associated with the bus variable from the databus or sends values associated with the bus variable to the databus, and wherein the automation device registers the software application as a bus variable receiver or as a bus variable source for the bus variables.

Abstract: A real-time automation. device includes a real-time databus, and a memory device, wherein the databus is configured to transmit values associated with defined bus variables and configured to communicate a value associated with a bus variable from a bus variable source in accordance with a bus database via a databus to a bus variable receiver associated with the bus variable in accordance with the bus database such that, following transfer of the value from the bus variable source to the databus, the value is transferred within a predefined time period to the bus variable receiver, wherein the memory device also includes a software application which receives values associated with the bus variable from the databus or sends values associated with the bus variable to the databus, and wherein the automation device registers the software application as a bus variable receiver or as a bus variable source for the bus variables.

Abstract: An industrial production method and corresponding production equipment is specified, wherein, for providing the resources and/or energy needed, a load variation y(t) with time is forecast in an automated manner starting with expected environmental and planned production parameters. In at least one embodiment of this process, a forecast for the load variation y(t) with time is generated by linear interpolation in a manner which is clear for the user from parameter sets (p0, p1, . . . pn) provided with rules (R0, R1, . . . Rn) for allocating a respective load curve (Y0(t), y1(t), . . . yn(t)) for an expected parameter set (z).