A mobile crane has an undercarriage, a superstructure arranged on the undercarriage, a slewing gear by which the superstructure may be rotated relative to the undercarriage, a slewing gear brake that acts on the slewing gear to brake a rotation of the superstructure, and a jib mounted on the superstructure as to be adjustable in luffing angle and/or in length. The mobile crane additionally contains a dolly coupling arranged on the jib and by which the jib is coupled to a mobile crane dolly during dolly travel with the superstructure in an extended position. The mobile crane further has a sensor interface for connecting a dolly coupling sensor, and a controller that is adapted to ascertain during dolly travel, in dependence on a signal received from the dolly coupling sensor, whether the jib rests on the mobile crane doll, and to activate the slewing gear brake if it does not.

A mobile crane has an undercarriage, a superstructure arranged on the undercarriage, a slewing gear by which the superstructure may be rotated relative to the undercarriage, a slewing gear brake that acts on the slewing gear to brake a rotation of the superstructure, and a jib mounted on the superstructure as to be adjustable in luffing angle and/or in length. The mobile crane additionally contains a dolly coupling arranged on the jib and by which the jib is coupled to a mobile crane dolly during dolly travel with the superstructure in an extended position. The mobile crane further has a sensor interface for connecting a dolly coupling sensor, and a controller that is adapted to ascertain during dolly travel, in dependence on a signal received from the dolly coupling sensor, whether the jib rests on the mobile crane doll, and to activate the slewing gear brake if it does not.

The invention relates to a predictive maintenance of hoisting equipment (102), particularly cranes. A maintenance center (106) automatically collects diagnostic data relating to least one component of the remote hoisting equipment and optionally sensor data relating the operational environment of the remote hoisting equipment (102). The maintenance center (106) has an access to configuration data of the remote hoisting equipment and the reliability data on the at least one component of the remote hoisting equipment (102). The maintenance center (106) is then able to generate a maintenance plan optimizing the cost of maintenance and reliability of the hoisting equipment over a life cycle of the hoisting equipment.

The invention relates to a predictive maintenance of hoisting equipment (102), particularly cranes. A maintenance center (106) automatically collects diagnostic data relating to least one component of the remote hoisting equipment and optionally sensor data relating the operational environment of the remote hoisting equipment (102). The maintenance center (106) has an access to configuration data of the remote hoisting equipment and the reliability data on the at least one component of the remote hoisting equipment (102). The maintenance center (106) is then able to generate a maintenance plan optimizing the cost of maintenance and reliability of the hoisting equipment over a life cycle of the hoisting equipment.

The invention relates to a method for crane configuration and crane assembly on the basis of an online portal, which holds at least one database with a plurality of standard crane configurations or is connected to the same, with an interface for the user access to the online portal, wherein a crane user virtually composes their individual crane configuration from a plurality of standard configurations and the individual crane configuration is stored on the online portal, wherein at least one further database of the online portal, or an externally connected database, holds assembly information about the stored individual crane configuration, the online portal filters the assembly information relevant in relation to the stored crane configuration and provides it for retrieval by an assembly team.

The invention relates to a method for crane configuration and crane assembly on the basis of an online portal, which holds at least one database with a plurality of standard crane configurations or is connected to the same, with an interface for the user access to the online portal, wherein a crane user virtually composes their individual crane configuration from a plurality of standard configurations and the individual crane configuration is stored on the online portal, wherein at least one further database of the online portal, or an externally connected database, holds assembly information about the stored individual crane configuration, the online portal filters the assembly information relevant in relation to the stored crane configuration and provides it for retrieval by an assembly team.

A construction machine, in particular in the form of a crane such as a revolving tower crane, having a control apparatus for controlling at least one piece of work equipment of the construction machine using a structure data model that includes digital information on a structure to be erected and/or to be worked. A method of controlling such a construction machine with the aid of digital data from such a structure data model. The construction machine has a data exchange module connectable to the master construction site computer for the exchange of digital data with a master construction site computer, with the data exchange module having reading and/or writing means for reading and/or writing access to the master construction site computer. The construction machine carries out at least individual work steps such as the traveling of a construction element in automated manner using digital data from the master construction site computer. A control module that can be positioned at the load suspension means and/or at the construction element to be traveled and that can be configured as a wearable, in particular in the form of gloves having integrated movement control sensors is provided for the fine positioning.

A construction machine, in particular in the form of a crane such as a revolving tower crane, having a control apparatus for controlling at least one piece of work equipment of the construction machine using a structure data model that includes digital information on a structure to be erected and/or to be worked. A method of controlling such a construction machine with the aid of digital data from such a structure data model. The construction machine has a data exchange module connectable to the master construction site computer for the exchange of digital data with a master construction site computer, with the data exchange module having reading and/or writing means for reading and/or writing access to the master construction site computer. The construction machine carries out at least individual work steps such as the traveling of a construction element in automated manner using digital data from the master construction site computer. A control module that can be positioned at the load suspension means and/or at the construction element to be traveled and that can be configured as a wearable, in particular in the form of gloves having integrated movement control sensors is provided for the fine positioning.

A device in connection with a hoisting rope of a hoisting device includes a main suspension element to suspend a sheave or wedge socket supporting the hoisting rope to a fastening structure of a body of the hoisting device and a detector for detecting an external vertical force acting on the hoisting rope.

A method, a device, and a system for parking a truck accurately in a shore crane area are provided. A vehicle controller transmits a parking request for a truck to be parked. A main controller receives the parking request and acquires real-time point cloud data by scanning one or more lanes crossed by a shore crane using one or more LiDARs. The main controller clusters the real-time point cloud data to obtain a set of point clouds for the truck and applies an Iterative Closest Point algorithm to the set of point clouds and a vehicle point cloud model to obtain a real-time distance from the truck to a target parking space. The vehicle controller controls the truck to stop at the target parking space based on the real-time distance.