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Self-learning-based rotation control method for dangerous condition of tower crane

A tower crane and dangerous state technology is applied in the field of tower crane dangerous state slewing control based on self-learning, which can solve the problem that drivers do not find dangerous situations and dangers, and achieve the effects of smooth parking, avoiding impact and avoiding wrong behavior.

Active Publication Date: 2013-08-28
XIAN MAPLE TREE ELECTRONICSAL TECH DEV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a self-learning based tower crane slewing control method in a dangerous state, which solves the problem in the prior art that the driver does not find the dangerous situation, which leads to the occurrence of danger

Method used

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  • Self-learning-based rotation control method for dangerous condition of tower crane
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  • Self-learning-based rotation control method for dangerous condition of tower crane

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Embodiment

[0045] Taking a certain type of 16-ton tower crane as an example, the jib is 50 meters long. Through self-learning, the parameters of the tower crane's three speed control angles and braking angles are:

[0046] θ 3 is 45°; θ 2 is 25°; θ 1 is 15°; θ 4 is 10°; θ 0 is 5°; the braking time is 2 seconds.

[0047] Utilizing the above-mentioned slewing control method of the present invention, the slewing control of the tower crane stops smoothly, the parking position is relatively accurate, the working range of the tower crane is effectively utilized, and safe work is ensured.

[0048] To sum up, the tower crane anti-collision rotation control method of the present invention adopts a passive control method, which improves the reliability of the tower crane control; at the same time, the present invention adopts segmental and step-by-step deceleration and braking to realize deceleration first and then stop, reducing impact , to ensure the stability of the slewing parking.

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Abstract

The invention discloses a self-learning-based rotation control method for a dangerous condition of a tower crane. The self-learning-based rotation control method particularly comprises the following steps of: 1, carrying out self-learning on the inertia and a rotation running characteristic of the tower crane on the tower crane; 2, carrying out deceleration or shutoff control as appropriate according to the current running state of the tower crane; 3, after low-speed cut-off control of the tower crane, executing closed-loop control, if the dangerous angle of the tower crane at the time is more than an ideal parking position, re-starting low speed in a control direction of the tower crane by a system, allowing the tower crane to continuously advance at a low speed to be close to a target position; and 4, immediately braking when the tower crane enters a red line due to out of control, directly stopping the tower crane, delaying a brake for a certain time, then opening the brake and allowing the tower crane to rotate towards a safety direction. According to the self-learning-based rotation control method, the rotation of the tower crane is passively controlled, the parking regulation and braking control are carried out to ensure the parking stability, and the impaction of the rotation inertia of the tower crane is avoided.

Description

technical field [0001] The invention belongs to the technical field of tower crane hoisting automatic control, and is used for handling the passive control of the steady deceleration and stop of the rotation of the tower crane in a dangerous state, and in particular relates to a method for controlling the rotation of a tower crane in a dangerous state based on self-learning. Background technique [0002] Tower cranes (also known as tower cranes) are the main means of transportation for building houses and bridges. On the one hand, there are many dangerous factors in the work of tower cranes due to the high center of gravity, large lifting load, and fast operation speed. Especially in modern large-scale construction sites, the working conditions of tower cranes are more complicated under the condition of multi-tower cranes working together. , tower cranes are more prone to serious accidents. On the other hand, the operation of tower cranes belongs to high-altitude operations...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B66C23/94B66C13/22
Inventor 杨静朱军辉李伟
Owner XIAN MAPLE TREE ELECTRONICSAL TECH DEV
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