An indoor location system includes mobile transceiver units to support a manufacturing control of process courses in an industrial manufacturing of workpieces in a manufacturing plant. The indoor location system includes an analysis unit configured to determine a position of a mobile transceiver unit to be localized from runtimes of electromagnetic signals between transceiver units, and an energy consumption control unit configured to output a control signal for deactivating a localizing mode of a position signal module of at least one of the mobile transceiver units if participation of the at least one mobile transceiver unit in position determination operations is not required and to output a control signal for activating the localizing mode of the position signal module of the at least one of the mobile transceiver units from a deactivated state when participation of the at least one mobile transceiver unit in a position determination operation is required.

A robot system includes a robot arm driven by an electric motor and a vehicle that is movable and supports the robot arm. A control method includes (a) moving the vehicle to a work station of a first type and (b) driving the robot arm in the work station of the first type. The (a) executes a first operation mode for, in a part of the movement to the work station of the first type, moving the vehicle in a state in which electric power is not supplied to the electric motor, starting supply of the electric power to the electric motor during the movement of the vehicle in the state in which the electric power is not supplied to the electric motor, and arranging the vehicle in the work station of the first type in a state in which the electric power is supplied to the electric motor.

A learned model is generated which accurately outputs power consumption by running a newly created machining program without performing simulation, and the learned model is utilized to accurately predict the power consumption. A machine learning device includes an input data acquisition unit that, in machining a workpiece with an arbitrary machine tool by running an arbitrary machining program, acquires, as input data, information relating to the machine tool, an auxiliary operation device, and the workpiece, and machining information including the machining program. A label acquisition unit acquires label data indicating power consumption information relating to the machine tool and the auxiliary operation device in the running of the machining program. A learning unit performs supervised learning using the input and label data, and generates a learned model that inputs machining information of machining to be performed and outputs the power consumption information in the machining to be performed.

Some embodiments include electric power demand stabilization methods and systems that may include measuring the power draw of a plurality of controllable devices; determining a rolling average power draw for the plurality of controllable devices over a period of time; measuring an instantaneous power draw of the plurality of controllable devices; and calculating a power budget comprising the difference between the instantaneous power draw and the rolling average power draw. In the event the power budget is positive, increasing power to at least a first subset of the plurality of controllable devices. In the event the power budget is negative, decreasing power to at least a second subset of the plurality of controllable devices.

Some embodiments include electric power demand stabilization methods and systems that may include measuring the power draw of a plurality of controllable devices; determining a rolling average power draw for the plurality of controllable devices over a period of time; measuring an instantaneous power draw of the plurality of controllable devices; and calculating a power budget comprising the difference between the instantaneous power draw and the rolling average power draw. In the event the power budget is positive, increasing power to at least a first subset of the plurality of controllable devices. In the event the power budget is negative, decreasing power to at least a second subset of the plurality of controllable devices.

Some embodiments include electric power demand stabilization methods and systems that may include receiving an indication that a specific controllable device will have a high power draw event; retrieving a power draw profile for the specific controllable device that includes at least a maximum power draw and an event duration; identifying a plurality of low priority controllable devices with a combined power draw that is substantially equal to the maximum power draw of the specific controllable device; and turning off the plurality of low priority controllable devices for a time period substantially equal to the event duration.

A component-mounted-board production line includes a power operation switch configured to be operated by an operator to turn power on and off, and an automatic power on and off circuit section configured to turn the power on and off. There is provided a production management means for, in a case where the multiple devices include a device that stops operating and enters a standby state, inputting a power on and off signal to the automatic power on and off circuit section of the device such that the power to device is turned on and off in accordance with an operation state of another device.

A device for controlling an operating state of at least one component of a production plant, including an energy control unit for providing a state change signal for changing the operating state of the at least one component from a first operating state to a second operating state, wherein the device includes a monitoring unit which is designed to receive the state change signal of the energy control unit, and to provide the state change signal of the energy control unit for changing the first operating state to the second operating state, and to modify the state change signal of the energy control unit for providing the second operating state, and to block the state change signal of the energy control unit for preventing a change of state into the second operating state.

An indoor location system includes mobile transceiver units to support a manufacturing control of process courses in an industrial manufacturing of workpieces in a manufacturing plant. The indoor location system includes an analysis unit configured to determine a position of a mobile transceiver unit to be localized from runtimes of electromagnetic signals between transceiver units, and an energy consumption control unit configured to output a control signal for deactivating a localizing mode of a position signal module of at least one of the mobile transceiver units if participation of the at least one mobile transceiver unit in position determination operations is not required and to output a control signal for activating the localizing mode of the position signal module of the at least one of the mobile transceiver units from a deactivated state when participation of the at least one mobile transceiver unit in a position determination operation is required.

Accessing an energy management policy for a plurality of devices is described, wherein the devices are coupled with a first structure. The energy usage of the devices is monitored. An energy usage rule and energy usage is then compared. The energy management policy and energy usage is also compared. Based on the comparing, an instruction is generated to modify an energy usage profile of said device to correlate with the energy usage rule associated with the devices and the energy management policy, thereby enabling efficient energy management.