Patent classifications
B66C2700/084
Anti-two-block sensing apparatus and method
Various hoisting systems with anti-two-block sensing devices are provided. In one embodiment, an apparatus includes a hoisting system having a hoisting line, a sleeve positioned on the hoisting line, and an anti-two-block sensing device installed about the hoisting line so as to allow the hoisting line to move through the anti-two-block sensing device. The anti-two-block sensing device includes a detector positioned to detect a sleeve component when the sleeve is present within the anti-two-block sensing device. Additional systems, devices, and methods are also disclosed.
Method for controlling and in particular monitoring an actuator, in particular of a winch, a hoist or a crane, and system for carrying out such a method
A method and system for controlling an actuator, in particular an actuator of a winch, a hoist or a crane, wherein the actuator is controlled using a fail-safe control unit. In order to improve a corresponding method, according to the invention, set point values are calculated in the fail-safe control unit, on the basis of which values the actuator is controlled.
INTELLIGENT PROJECTION POINT PREDICTION FOR OVERHEAD OBJECTS
Methods and systems provide for the intelligent prediction of projection points of overhead objects in a workplace or similar environment. In one embodiment, the system receives one or more two-dimensional (hereinafter 2D) training images of unique overhead objects within an environment; processes the 2D training images to determine training positions and projection points of each overhead object; trains one or more artificial intelligence (hereinafter AI) models to predict 2D positions of projection points of the overhead object; receives one or more 2D inference images of the overhead objects; processes the 2D inference images to determine one or more inferred positions of the overhead objects; predicts, via the trained AI models, 2D inferred positions of the projection points of the overhead objects; and provides them to one or more client devices. In some embodiments, the system alerts a person based on their proximity to the projection point of an overhead object.
Method and an arrangement for managing and controlling the lifetime of a tree handling system for a forest machine
A method and arrangement are for managing a tree handling system for a forest machine. The method includes obtaining sensor data that represent a current loading on the tree handling system and determining a key indicator that describes a measured value that is representative of the risk of partial damage based on the current loading. A current partial damage value can be compared with a normative partial damage value for a normative operating state to determine a change that would cause the current partial damage value to return to or approach a level corresponding to the normative partial damage value. The change can be executed by an actuator, which is coupled to a control unit, that limits hydraulic flow to at least one execution means to limit the loading of the tree handling system to a pre-determined maximum loading value.
Mobile crane operation control
A method is provided for controlling an operation of a mobile crane, the operation comprising a user input, the user input comprising a command to change a configuration of the mobile crane. The method comprises the steps of: determining a current tipping moment of the mobile crane, the tipping moment comprising a moment about a tipping line of the mobile crane; predicting an effect of the user input on the tipping moment of the mobile crane; and if the predicted effect of the user input is to increase the tipping moment of the mobile crane past a predetermined amount, altering a response to the user input. A system for controlling an operation of a mobile crane, and a user display system for a mobile crane are also provided.
MOBILE CRANE OPERATION CONTROL
A method is provided for controlling an operation of a mobile crane, the operation including a user input, the user input including a command to change a configuration of the mobile crane. The method includes determining a current tipping moment of the mobile crane, the tipping moment including a moment about a tipping line of the mobile crane, predicting an effect of the user input on the tipping moment of the mobile crane, and if the predicted effect of the user input is to increase the tipping moment of the mobile crane past a predetermined amount, altering a response to the user input. A system for controlling an operation of a mobile crane, and a user display system for a mobile crane are also provided.
SYSTEM FOR SAFE AUTOMATED LASHING OF CONTAINER CRANE FOR PROTECTION AGAINST TYPHOONS
An automated system mainly includes a stowage module (100), a tiedown module (200), a socket anchor module (300), and an encoder module (400) and has an improved structure for a stowage pin and the tiedown module to be remotely controlled by unmanned automation to significantly decrease the crane securing time, thereby promptly dealing with emergency situations with maximum terminal operation efficiency and minimum manpower.
Full-time anti-sway control method of bridge crane system based on inverter structure
A full-time anti-sway control method of a bridge crane system based on an inverter structure includes steps of: receiving a specified high frequency and a frequency change time, calculating a time setting range according to a plurality of system parameters and a rope length information of the bridge crane system, selecting a time setting value within the time setting range, dividing the frequency change time into a plurality of time intervals according to the time setting value, adjusting an operation frequency command to change between a low frequency and the specified high frequency within the plurality of time intervals to generate a frequency change curve, calculating a frequency correction amount according to the frequency change curve and the rope length information, and superimposing the frequency change curve and the frequency correction amount to generate an anti-sway frequency command to drive the at least one motor.
Heavy lift crane
A crane for use on an offshore vessel is provided with a boom restrainer, wherein the boom restrainer is a hydro-pneumatic boom restrainer, for reducing upward pivoting of the boom, when the boom is in the top zone, wherein the boom restrainer includes: multiple hydraulic cylinders, each having a hydraulic circuit and a cylinder rod with a cylinder head, wherein the cylinders are mounted on the crane structure with the cylinder heads directed towards the boom of the crane, preferably are mounted on a stay of the crane structure, a catcher for each hydraulic cylinder, wherein each catcher is mounted on the boom and is configured for receiving the cylinder head of the corresponding hydraulic cylinder, and to lock the cylinder head, preferably pivotable locks the cylinder head, relative to the boom, when the boom pivots upwards in the top zone; a gas buffer for each hydraulic cylinder, wherein each gas buffer is mounted to the corresponding hydraulic cylinder, and is connected to the hydraulic circuit of the corresponding hydraulic cylinder via a medium separator, wherein the gas buffer forces the hydraulic cylinder in an extended position, and wherein the volume ratio between the hydraulic cylinder and the gas buffer is such that the hydraulic cylinder acts as a progressive spring, e.g. the gas buffers each have a size in the range of 1000-1400 litre, for example 1200 litre and the hydraulic cylinders each have a size in the range of 800-1000 litre, for example 900 litre, and preferably the ratio between the volume of the gas buffer and the volume of the associated hydraulic cylinder is 4:3.
Intelligent projection point prediction for overhead objects
Methods and systems provide for the intelligent prediction of projection points of overhead objects in a workplace or similar environment. In one embodiment, the system receives one or more two-dimensional (hereinafter 2D) training images of unique overhead objects within an environment; processes the 2D training images to determine training positions and projection points of each overhead object; trains one or more artificial intelligence (hereinafter AI) models to predict 2D positions of projection points of the overhead object; receives one or more 2D inference images of the overhead objects; processes the 2D inference images to determine one or more inferred positions of the overhead objects; predicts, via the trained AI models, 2D inferred positions of the projection points of the overhead objects; and provides them to one or more client devices. In some embodiments, the system alerts a person based on their proximity to the projection point of an overhead object.