Siemens Aktiengesellschaft

Thomas Dobler

Julian Vogel

Axel Walthelm

Johannes Benkert

Ralf Gerdhenrichs

Alexander Willhoeft

Alexander WILLHÖFT

Uwe Dennig

In a method for a collision-free movement of a crane in a crane lane, a sensor captures a first training data set of raw data during a movement of the crane outside a crane operation in the crane lane. The first training data set is evaluated while teaching a first neural network based on the captured raw data and first training data are determined from the evaluated first training data set. The sensor captures current sensor data during a movement of the crane during the crane operation in the crane lane. The current sensor data is compared with the first training data, and an anomaly is detected between the current sensor data and the first training data.

Method for the collision-free movement of a crane

An image-processing unit, a system, an automatic loading and/or unloading system and a method for detecting a locking device on a movable object, wherein the locking device locks a plurality of movable objects to one other and is arranged in a locking region of the movable object and the movable object is moved via a loading device, where the locking region can be sensed in a sensing region of at least one camera and an image-processing unit evaluates a signal of the camera to detect locking devices in a locking region of a movable object so as to detect locking devices efficiently and reliably.

Detection of locking devices

For the automated loading of a load by a crane system, a camera system of the crane system generates at least one image data stream. The at least one image data stream is analyzed by a computer unit with the assistance of an artificial neural network. On the basis of the analysis, a first marker and a second marker are recognized by the computer unit in respective single images of the at least one image data stream. Positions of the markers are determined, and the load is loaded automatically by a lifting device of the crane system dependent upon the positions of the markers.

Loading of a load with a crane system

In a method and a device for determining a leak in at least one system component (through) and/or a state of a system component (through) of a system, at least one section of one or more system components (through) is monitored optically. Sound emissions occurring in or on at least one of the system components (through) are detected, analyzed and localized, wherein acoustically localized sound emission areas of the affected system component (through) are also optically detected and analyzed.

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Hatzenbühl, Germany

Thomas Dobler