Abstract: To determine a three-dimensional layout of electrical connections of an electric component, a processor executes a path optimization routine to determine three-dimensional routes for a plurality of electrical connections of the electric component. A conflict management is performed to generate conflict-free three-dimensional routes for the plurality of electrical connections.

Abstract: To determine a three-dimensional layout of electrical connections of an electric component, a processor executes a path optimization routine to determine three-dimensional routes for a plurality of electrical connections of the electric component. A conflict management is performed to generate conflict-free three-dimensional routes for the plurality of electrical connections.

Abstract: Techniques for determining a configuration for deployment of a public transportation system including a plurality of electric public transportation vehicles, in particular electric buses, are disclosed. At least one processor may determine, prior to deployment of the public transportation system and based on received information on timetables and geographical route profiles, a fleet size of a fleet of electric public transportation vehicles, on-board battery parameters of on-board batteries to be installed in electric public transportation vehicles, and charging infrastructure parameters associated with a charging infrastructure to be installed for charging the on-board batteries of the electric public transportation vehicles.

Abstract: A method for supporting remote control of a container crane, the container crane being configured to move containers from one location to another. The method is performed in a container crane control system, and includes the steps of: receiving work order information, each work order specifying a location of a container to be picked up and a destination of the container to be placed; obtaining a first video stream of images of a pick-up location; identifying the container to be picked up in the images of the first video stream; modifying the first video stream images, which includes highlighting the container to be picked up; and presenting the modified video stream of images on a display.

Abstract: A method for supporting remote control of a container crane, the container crane being configured to move containers from one location to another. The method is performed in a container crane control system, and includes the steps of: receiving work order information, each work order specifying a location of a container to be picked up and a destination of the container to be placed; obtaining a first video stream of images of a pick-up location; identifying the container to be picked up in the images of the first video stream; modifying the first video stream images, which includes highlighting the container to be picked up; and presenting the modified video stream of images on a display.

Abstract: Techniques for determining a configuration for deployment of a public transportation system including a plurality of electric public transportation vehicles, in particular electric buses, are disclosed. At least one processor may determine, prior to deployment of the public transportation system and based on received information on timetables and geographical route profiles, a fleet size of a fleet of electric public transportation vehicles, on-board battery parameters of on-board batteries to be installed in electric public transportation vehicles, and charging infrastructure parameters associated with a charging infrastructure to be installed for charging the on-board batteries of the electric public transportation vehicles.

Abstract: A system or method, for controlling at least two automated non-passing rail mounted gantry cranes, has, for each crane, a crane control unit for ensuring execution of at least one work order received by the respective crane from an external scheduling system, and may have a rescheduling unit which performs a rescheduling of the at least one work order based on an expected trajectory along the rail determined for each work order. The rescheduling can be achieved by splitting at least one of the work orders into at least two new work orders and by re-sequencing and re-allocating resulting work orders to reduce the number or duration of situations, where the expected trajectory of one crane blocks the expected trajectory of another crane and/or to reduce a workload imbalance between the cranes. The rescheduling unit operates in parallel with the crane control units, and dynamically updates these original work orders.

Abstract: A system or method, for controlling at least two automated non-passing rail mounted gantry cranes, has, for each crane, a crane control unit for ensuring execution of at least one work order received by the respective crane from an external scheduling system, and may have a rescheduling unit which performs a rescheduling of the at least one work order based on an expected trajectory along the rail determined for each work order. The rescheduling can be achieved by splitting at least one of the work orders into at least two new work orders and by re-sequencing and re-allocating resulting work orders to reduce the number or duration of situations, where the expected trajectory of one crane blocks the expected trajectory of another crane and/or to reduce a workload imbalance between the cranes. The rescheduling unit operates in parallel with the crane control units, and dynamically updates these original work orders.

Abstract: An exemplary method for controlling an electrical converter includes receiving an actual electrical quantity relating to the electrical converter and a reference quantity; determining a future state of the electrical converter by minimizing an objective function based on the actual electrical quantity and the reference quantity as initial optimization variables; and determining the next switching state for the electrical converter from the future state of the electrical converter. The objective function is iteratively optimized by: calculating optimized unconstrained optimization variables based on computing a gradient of the objective function with respect to optimization variables; and calculating optimization variables for a next iteration step by projecting the unconstrained optimization variables on constraints. The computation of the gradient and/or the projection is performed in parallel in more than one computing unit.