Manitowoc has been granted a patent for a crane drive method that automatically selects and applies a preferential load curve based on the actual inclination of the jib structural element. This innovative technology enhances safety and efficiency in lifting and moving loads along the crane’s luffing jib. GlobalData’s report on Manitowoc gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Manitowoc, was a key innovation area identified from patents. Manitowoc's grant share as of May 2024 was 70%. Grant share is based on the ratio of number of grants to total number of patents.
Crane drive method for selecting preferential load curve
A recently granted patent (Publication Number: US11999598B2) discloses a crane drive method that involves selecting and applying a preferential load curve based on the work configuration of the crane. The method includes steps such as measuring the inclination of jib structural elements, selecting the appropriate load curve from a memory based on the inclination, and applying this curve for lifting and moving loads along the luffing jib. The patent also covers scenarios where the luffing jib is foldable and comprises multiple articulated jib structural elements, with the method adjusting the load curve selection accordingly.
Furthermore, the patent details the inclusion of height measurement steps for the luffing jib and the use of sensors to detect the position of jib structural elements. The control/command system connected to the crane's components automates the selection of the preferential load curve based on various parameters like inclination, height, and position of the jib structural elements. The patent also mentions the use of inclinometers and proximity sensors for accurate measurements and selection processes. Overall, the patented crane drive method aims to optimize load handling operations by dynamically adjusting load curves based on real-time data from the crane's configuration.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
