A system and method handles one or more pumping units in an out-of-balance condition. Sensing equipment monitors operating parameters related to balance of each of the one or more pumping units. Processing equipment determines the out-of-balance condition in at least one of the one or more pumping units based on the monitored operating parameters. A first correction to a counterbalance parameter of the at least one pumping unit can be calculated, such as a new position or weight of the counterbalance, so the out-of-balance condition can be corrected by implementing the new position or weight at the at least one pumping unit. A second correction to a stroke parameter of the at least one pumping unit can be calculated, such as a new stroke rate or pattern, so operation of the pumping unit can be maintained despite the out-of-balance condition.

A method of controlling an electricity production station including at least one renewable energy source and an energy accumulation system, allowing an operator to commit, at an electrical distribution network manager, to a power profile P.sub.G that the station will be able to deliver over a forthcoming time period. The declared power profile must, furthermore, comply with constraints imposed by the manager of the electricity distribution network. Non-compliance with this commitment may be subject to penalties. It is then incumbent on the operator to best optimize the method of controlling the electricity production station so as to maximize the electrical power fed into the network, while complying, in so far as possible, over a certain tolerance range, with the power profile commitment P.sub.G.

A method of controlling an electricity production station including at least one renewable energy source and an energy accumulation system, allowing an operator to commit, at an electrical distribution network manager, to a power profile P.sub.G that the station will be able to deliver over a forthcoming time period. The declared power profile must, furthermore, comply with constraints imposed by the manager of the electricity distribution network. Non-compliance with this commitment may be subject to penalties. It is then incumbent on the operator to best optimize the method of controlling the electricity production station so as to maximize the electrical power fed into the network, while complying, in so far as possible, over a certain tolerance range, with the power profile commitment P.sub.G.

A logic system aggregates metrics from a plurality of combine harvesters and controls a communication system to send aggregated metrics back to the combine harvesters and to send both machine performance metrics and aggregate metrics to a remote user computing system, for remote user control.

Methods, mediums and systems are provided to enable a user to build and edit a UML model for a system containing one or more physical component, which includes the across variable and/or the through variable of the components. A UML model may include classifiers, such as classes, interfaces, datatypes, signals, components, nodes, use cases and subsystems, that describes the structural and behavioral features of the system. A UML model may include at least one of the classifiers that is described using the across variables and/or the through variables of the system. For example, the interface of a component in a UML model may be described using the across variables and/or the through variables of the component.

A system and method handles one or more pumping units in an out-of-balance condition. Sensing equipment monitors operating parameters related to balance of each of the one or more pumping units. Processing equipment determines the out-of-balance condition in at least one of the one or more pumping units based on the monitored operating parameters. A first correction to a counterbalance parameter of the at least one pumping unit can be calculated, such as a new position or weight of the counterbalance, so the out-of-balance condition can be corrected by implementing the new position or weight at the at least one pumping unit. A second correction to a stroke parameter of the at least one pumping unit can be calculated, such as a new stroke rate or pattern, so operation of the pumping unit can be maintained despite the out-of-balance condition.

A system and method handles one or more pumping units in an out-of-balance condition. Sensing equipment monitors operating parameters related to balance of each of the one or more pumping units. Processing equipment determines the out-of-balance condition in at least one of the one or more pumping units based on the monitored operating parameters. A first correction to a counterbalance parameter of the at least one pumping unit can be calculated, such as a new position or weight of the counterbalance, so the out-of-balance condition can be corrected by implementing the new position or weight at the at least one pumping unit. A second correction to a stroke parameter of the at least one pumping unit can be calculated, such as a new stroke rate or pattern, so operation of the pumping unit can be maintained despite the out-of-balance condition.

A logic system aggregates metrics from a plurality of combine harvesters and controls a communication system to send aggregated metrics back to the combine harvesters and to send both machine performance metrics and aggregate metrics to a remote user computing system, for remote user control.

A simulation environment is provided for running a process simulation used to validate an industrial control program. The simulation environment exposes the I/O module configurations defined in the control program and retrieves module configuration information therefrom. This I/O module configuration information is combined with generic, module-specific I/O module profiles to create a pool of available controller I/O points, which can be selectively associated with I/O points in the simulation to create an I/O point mapping. During control program validation, simulated I/O data is exchanged between the process simulation and the I/O module instances in the controller in accordance with the I/O point mapping. A variation of these techniques for use with cloud-based emulations is also described.

A simulation environment is provided for running a process simulation used to validate an industrial control program. The simulation environment exposes the I/O module configurations defined in the control program and retrieves module configuration information therefrom. This I/O module configuration information is combined with generic, module-specific I/O module profiles to create a pool of available controller I/O points, which can be selectively associated with I/O points in the simulation to create an I/O point mapping. During control program validation, simulated I/O data is exchanged between the process simulation and the I/O module instances in the controller in accordance with the I/O point mapping. A variation of these techniques for use with cloud-based emulations is also described.