Abstract: Methods, devices, and assemblies for controlling pressure in a supply grid are provided. The supply grid is suitable for supplying fluid to loads. The supply grid has first sensors for measuring the flow and/or the pressure of the fluid at first locations in the supply grid and a pump for pumping the fluid or a valve for controlling the flow of the fluid. The method includes: measuring the flow and/or pressure of the fluid at the first locations in the supply grid by the first sensors; predicting the pressure at the second location in the supply grid using a self-learning system based on the measured flows or pressures, wherein the self-learning system is trained to predict the pressure at a specified location in the supply grid; and actuating the pump or the valve at least also based on the pressure predicted by the trained system at the second location.

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 an apparatus for generating sensor data for controlling an autonomous vehicle in an environment is provided, such as driverless transport vehicles in a factory for example. Sensor positions of static sensors and the sensors of autonomous vehicles are defined in a global coordinate system on the basis of an environment model, such as a BIM model for example. Sensor data is centrally generated in this global coordinate system for all sensors as a function of these sensor positions. The sensor data is then transformed into a local coordinate system of an autonomous vehicle and transferred for controlling the autonomous vehicle.

Abstract: A method for detecting a leakage of fluid in a supply grid is disclosed. The method includes measuring a flow of the fluid at first locations by first sensors; predicting a flow at a second location by a self-learning system based on the measured flows, wherein the self-learning system has been trained to predict the flow at a specified location in a supply grid; measuring an actual flow of the fluid at the second location by a second sensor located at the second location; ascertaining a difference between the actual flow measured at the second location and the flow at the second location predicted by the trained system; and outputting a notification of an assumed leakage when the ascertained difference is greater than a specified threshold. Devices and assemblies for detecting a leakage of fluid in a supply grid are also disclosed.

Abstract: A computer-implemented method for generating a computer-readable model for a technical system on the basis of text-based specification data for the technical system, the text-based specification data specifying at least one system condition is provided. A plurality of model components for the computer-aided modelling of the technical system are provided, each model component being assigned a model component identifier. By means of generative adversarial networks, model components are selected, using their model component identifiers, from the plurality of model components on the basis of the text-based specification data, and a computer-readable model for the technical system is generated from the selected model components in such a way that model data of the computer-readable model satisfy at least one system condition specified in the text-based specification data.

Abstract: Methods, devices, and assemblies for controlling pressure in a supply grid are provided. The supply grid is suitable for supplying fluid to loads. The supply grid has first sensors for measuring the flow and/or the pressure of the fluid at first locations in the supply grid and a pump for pumping the fluid or a valve for controlling the flow of the fluid. The method includes: measuring the flow and/or pressure of the fluid at the first locations in the supply grid by the first sensors; predicting the pressure at the second location in the supply grid using a self-learning system based on the measured flows or pressures, wherein the self-learning system is trained to predict the pressure at a specified location in the supply grid; and actuating the pump or the valve at least also based on the pressure predicted by the trained system at the second location.

Abstract: A method and a device for the computer-assisted simulation of a modular technical system, wherein for each real module of the modular technical system, a corresponding virtual module is generated, is provided. The virtual module includes a controller for controlling a module-specific process and at least one module-specific simulation model, to which model type information is assigned, for simulating the model-specific process. The virtual module is designed to simulate the module-specific process that is controlled by the controller by means of the module-specific simulation model and/or the controller of the real module, and is provided for a computer-assisted simulation of the modular technical system as a data container. In particular, the following allows a virtual start-up of modular process systems.

Abstract: A computer-supported creation of an interdisciplinary simulation model of a physical-technical device is provided. Based on a predefined database, which is indicative of the physical-technical behaviour of the device, discipline-specific simulation components of the device and at least one interface for each of the simulation components are created, such that statuses of the simulation components can be synchronised with one another by means of the interfaces. In addition, each discipline-specific simulation component models a corresponding discipline-specific aspect of the physical-technical behaviour of the device. The created simulation components represent the simulation model together with the interfaces.

Abstract: A component of the technical system, a component designation and a characteristic parameter designation for a characteristic parameter of relevance to the design of the components are read and a search engine is queried with same is provided. The documents found by the search engine are read and component information, e.g. product information concerning a specific component, is extracted from said documents. The extracted component information is supplied to a machine learning routine which has been trained, using a plurality of predefined training component information and training characteristic parameter values, to reproduce predefined training characteristic parameter values using predefined training component information. Output data from the machine learning routine is selected as characteristic parameter values and inserted into a planning data record. The planning data record is then output to design the technical system.

Abstract: A supply network for supplying consumers with a medium is provided. Based on a reduction of data and a subsequent reconstruction of at least one pressure and/or flow value, the state at least at one further location in the supply network can be determined without having to be measured. An improved actuation of the at least one pump and/or of the at least one valve is thus possible. A device for pressure control in a supply network is also provided.

Abstract: A method and device are provided for leakage detection and leakage location in an area of a supply network (e.g. water supply, gas supply or district heating network), wherein measurement values of sensors of the supply network are statistically analyzed for the presence of leakages using robust regression methods. The false alarm rate (type 2 error) may be reduced or minimized.

Abstract: A supply network for supplying consumers with a medium is provided. Based on a reduction of data and a subsequent reconstruction of at least one pressure and/or flow value, the state at least at one further location in the supply network can be determined without having to be measured. An improved actuation of the at least one pump and/or of the at least one valve is thus possible. A device for pressure control in a supply network is also provided.

Abstract: A method, device and assistance system for detecting leaks in an area of a supply network, wherein leaks are detected by comparing real measured values supplied by sensors with measured values ascertained using a Monte Carlo simulation and, in particular, the method ascertains irregularities, which can be attributed to anomalies such as leaks, based on a hydraulic analysis so that existing leaks can be detected. Furthermore, the method can be applied to sensors that are temporarily installed in the network, giving the network operator additional freedom in the leak detection, and can be used for other supply networks and infrastructures.

Abstract: A method and device are provided for leakage detection and leakage location in an area of a supply network (e.g. water supply, gas supply or district heating network), wherein measurement values of sensors of the supply network are statistically analyzed for the presence of leakages using robust regression methods. The false alarm rate (type 2 error) may be reduced or minimized.