Abstract: A method for controlling distribution of pressure and flow in a water supply system which includes a plurality of pumping stations is provided, including: (a) reading in a computer-assisted hydraulic model of the water supply system, the hydraulic model mapping a time-dependent distribution of pressure and flow, (b) determining resource-optimized pressure and flow target values for the pumping stations for a specified forecast period using the computer-assisted hydraulic model by a first method of optimization, (c) reading in a pumping model behavior for a pumping station, the pumping model mapping an operational behavior of pumping devices of the pumping station, (d) determining resource optimized operating parameters for the pumping devices of the pumping station by the pumping model at a specified time by a second method of optimization, and (e) outputting the resource optimized operating parameters for controlling the pumping devices of the pumping station.

Abstract: A training data generator includes an interface to read symbols extracted from digital system plans for technical systems, wherein each of the system plans represents the design and/or the functionality of a technical system by of symbols, and the system plans are identical. The training data generator also includes a storage module which is designed to store the extracted symbols, a selection module which is designed to randomly select a symbol sub-quantity of the stored symbols using a random generator, a generator which is designed to generate at least one synthetic system plan on the basis of the selected symbol sub-quantity, and an output module to output the at least one synthetic system plan as training data in order to train a trainable image detection module, wherein the trainable image detection module is designed to generate a digital system plan using an analog system plan of a technical system.

Abstract: A method and a device for configuring a controller and to a method and a controller for controlling a technical system by means of a data-based control model is provided, in particular a model based on reinforcement learning. This data-based control model is configured using a model-predictive control model. Configuration parameters of the data-based control model are set by mapping the model-predictive control model onto the data-based control model in such a way that the data-based control model reproduces the output data of the model predictive control model depending on state data of the technical system read in, and determines optimized control parameters configured in this way. A computationally intensive training procedure for configuring the data-based control model can thus be avoided.

Abstract: An aircraft that includes a helicopter drone on which a 3D scanner is mounted via an actively rotatable joint is provided. The 3D scanner has at least one high-resolution camera for recording a multiplicity of overlapping images of the object from different recording positions and recording directions, so that comparison of the images allows a position and orientation of the 3D scanner relative to the object to be ascertained. In addition, the aircraft has a coordination device for coordinated control of the 3D scanner, the joint and the helicopter drone. The system for damage analysis has an aircraft and an image processing module generating a data representation of a surface profile of the object on the basis of the recorded images. In addition, the system includes a rating device for checking the surface profile and for outputting a damage statement on the basis of the check.

Abstract: Provided is a method and an apparatus for computer-implemented traffic control of motor vehicles in a predetermined area, in which, at predetermined intervals, respectively: values of traffic parameters are ascertained in the predetermined area by way of data capture, wherein at least some of the traffic parameters relate to the motor vehicles traveling in the predetermined area and the traffic parameters of a respective motor vehicle include its current position, direction of travel and speed; a set of optimized traffic control actions, which include the adjustment of variable traffic signaling devices, is determined by an optimization using a learned data-driven model and the optimized traffic control actions are carried out, wherein the optimization takes account of predicted air quality values and the data-driven model is learned by training data from a simulation.

Abstract: Provided is a control device for a production module having a data memory for storing operational settings of production modules and restrictions, which must be complied with by at least some of the operational settings. A settings management module is used to determine the external operational setting of an adjacent production module on which a local operational setting of the production module is dependent on the basis of a common restriction. An optimization module is also provided and has a local assessment function, which assesses the local operational setting, and a further assessment function which assesses noncompliance with the common restriction.

Abstract: An aircraft that includes a helicopter drone on which a 3D scanner is mounted via an actively rotatable joint is provided. The 3D scanner has at least one high-resolution camera for recording a multiplicity of overlapping images of the object from different recording positions and recording directions, so that comparison of the images allows a position and orientation of the 3D scanner relative to the object to be ascertained. In addition, the aircraft has a coordination device for coordinated control of the 3D scanner, the joint and the helicopter drone. The system for damage analysis has an aircraft and an image processing module generating a data representation of a surface profile of the object on the basis of the recorded images. In addition, the system includes a rating device for checking the surface profile and for outputting a damage statement on the basis of the check.

Abstract: Provided is a control device for a production module having a data memory for storing operational settings of production modules and restrictions, which must be complied with by at least some of the operational settings. A settings management module is used to determine the external operational setting of an adjacent production module on which a local operational setting of the production module is dependent on the basis of a common restriction. An optimization module is also provided and has a local assessment function, which assesses the local operational setting, and a further assessment function which assesses noncompliance with the common restriction.

Abstract: The rotational speed of the drum of an ore mill may be controlled variably over time. By rotating the drum during a first time interval at high speed, especially hard or dense particles are broken up by tumbling. At the same time, the discharge characteristics of the mill are adversely affected. In a subsequent second time interval, the drum is rotated at a slower speed, and the material is discharged more effectively, whereas the tumbling movement inside the mill is not achieved. The combination of said different modes of operation within short time periods in continuous operation may improve both the comminution as a result of a tumbling motion of the material and also the discharge of the ground material. By regulating the rotational speed with different target values within short time windows, different requirements for the movement behavior of the material to be ground and for the discharge characteristics of the ground material can be simultaneously optimized.

Abstract: A method for automatically creating a data set, which characterizes a technical drawing having symbols and lines connecting the symbols, from the technical drawing.

Abstract: A method implemented in a computer system for automatically establishing a data record from two technical drawings, where the data record characterizes the two technical drawings that include symbols and lines connecting the symbols.

Abstract: A method is disclosed for operating a mill at continuous input and output mass flows, and to the mill, wherein a process model based on power balance equations and mass balance equations is used. Characteristic process variables can be measured in a simple manner outside the mill. Characteristic process variables which are still not known can be ascertained by means of inserting the measured values into a respective power balance equation, assuming that the other process variables are in each case known or are insignificant. On this basis, the mill can be actuated in an optimum manner in order to provide a high output power.

Abstract: An assembly is provided for receiving characteristic data of a mill including a rotating mill sleeve having rotor coils and a stator having stator coils, wherein oscillations of the mill sleeve are transmitted to stator coils and/or measurement coils on the stator. The assembly may include stator coil(s) configured to tap power supply induction voltages to detect oscillations of the mill sleeve, wherein the stator coil(s) and/or measurement coil(s) designed to tap induction voltages are positioned in a sector of the mill sleeve in which large oscillations are expected based on the scale of the mill sleeve. Further, a method includes determining the induction voltage induced on stator coil(s) and/or measurement coil(s) by tapping at least one stator coil power supply and/or by tapping at least one measurement coil, and deriving status variable(s) of a milling method that reflect the fill level status in the sector of the respective coil.

Abstract: A method is disclosed for operating a mill at continuous input and output mass flows, and to the mill, wherein a process model based on power balance equations and mass balance equations is used. Characteristic process variables can be measured in a simple manner outside the mill. Characteristic process variables which are still not known can be ascertained by means of inserting the measured values into a respective power balance equation, assuming that the other process variables are in each case known or are insignificant. On this basis, the mill can be actuated in an optimum manner in order to provide a high output power.

Abstract: An assembly is provided for receiving characteristic data of a mill including a rotating mill sleeve having rotor coils and a stator having stator coils, wherein oscillations of the mill sleeve are transmitted to stator coils and/or measurement coils on the stator. The assembly may include stator coil(s) configured to tap power supply induction voltages to detect oscillations of the mill sleeve, wherein the stator coil(s) and/or measurement coil(s) designed to tap induction voltages are positioned in a sector of the mill sleeve in which large oscillations are expected based on the scale of the mill sleeve. Further, a method includes determining the induction voltage induced on stator coil(s) and/or measurement coil(s) by tapping at least one stator coil power supply and/or by tapping at least one measurement coil, and deriving status variable(s) of a milling method that reflect the fill level status in the sector of the respective coil.

Abstract: A method is disclosed for controlling a mill system having at least one mill, e.g., an ore mill or cement mill, wherein electrical power is drawn from a power network to rotate at least one mill body for comminuting a material fed to the at least one mill body. One or more control variables of the mill system are regulated such that the power drawn from the power network corresponds to a predetermined setpoint power draw-off for the mill system. The method may provide control power in the power network for compensating for fluctuations in energy generation due to increased use of regenerative energies. The method may be used, e.g., to regulate high energy mill systems, e.g., tube mills, SAG mills, or ball mills, such that even relatively large quantities can be made available as control power in the power network.

Abstract: The rotational speed of the drum of an ore mill may be controlled variably over time. By rotating the drum during a first time interval at high speed, especially hard or dense particles are broken up by tumbling. At the same time, the discharge characteristics of the mill are adversely affected. In a subsequent second time interval, the drum is rotated at a slower speed, and the material is discharged more effectively, whereas the tumbling movement inside the mill is not achieved. The combination of said different modes of operation within short time periods in continuous operation may improve both the comminution as a result of a tumbling motion of the material and also the discharge of the ground material. By regulating the rotational speed with different target values within short time windows, different requirements for the movement behavior of the material to be ground and for the discharge characteristics of the ground material can be simultaneously optimised.