Load distribution optimization method of double-crane collaborative operation

A technology of load distribution and optimization method, applied in data processing application, prediction, calculation, etc., can solve problems such as low efficiency, lack of scientific theoretical guidance for double-machine hoisting, and complicated double-machine hoisting operation.

Inactive Publication Date: 2013-07-31
CENT SOUTH UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Moreover, the double-machine hoisting lacks effective and scientific theoretical guidance. Only relying on manual experience is subjective and one-sided, and cannot fully guarantee the safety of the hoisting operation, and the efficiency is very low, which increases the cost of ho

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  • Load distribution optimization method of double-crane collaborative operation
  • Load distribution optimization method of double-crane collaborative operation
  • Load distribution optimization method of double-crane collaborative operation

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Embodiment Construction

[0063] Such as figure 1 As shown, the method steps of an embodiment of the present invention are as follows:

[0064] Step 1: 3D scene modeling;

[0065] Step 2: Crane selection;

[0066] Step 3: Crane configuration;

[0067] Step 4: Calculation of the coordinated hoisting action of the two cranes;

[0068] Step 5: Calculation of the hoisting parameters of the two cranes;

[0069] Step 6: Optimizing the load distribution of the coordinated hoisting of two cranes;

[0070] Step 7: Reach the hoisting target point;

[0071] Step 8: Hoisting is finished.

[0072] In Step 1, the 3D scene modeling can be divided into two parts: 1) OpenGL provides the basic geometry for drawing; 2) Models with complex shapes need to be imported through third-party software to create model files.

[0073] The first part includes five basic geometric bodies: cuboid, cylinder, cone, torus, and sphere. We only need to provide the corresponding parameter input interface and interaction means, and t...

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Abstract

The invention discloses a load distribution optimization method of double-crane collaborative operation, which comprises the steps that three-dimensional scene modeling is performed; crane model selection is performed; crane configuration is performed; double-crane collaborative lifting movement is calculated; double-crane collaborative lifting parameters are calculated; load distribution is optimized; a lifting target point is reached; and lifting is completed. According to the method, a relation model of rated load lifting capacity is established by analyzing influencing factors influencing the rated load lifting capacity, a real-time load model of each crane in a collaborative operation process is studied by analyzing the collaborative operation process and combining the dynamic characteristics of the cranes, and the load distribution is optimized simultaneously, so that the safety of a lifting process is improved.

Description

technical field [0001] The invention relates to the field of load distribution optimization of cranes, in particular to a load distribution optimization method for cooperative operation of two cranes. Background technique [0002] As an indispensable construction machinery, cranes play an important role in national economic construction such as petrochemical industry, electric power construction, water conservancy and hydropower, and bridge construction. With the rapid development of our country's economy, all walks of life in our country are in the ascendant, especially in metallurgy, nuclear power, docks and other aspects of construction scale is increasing, large-scale hoisting is increasing, and the operating environment is becoming more and more complex. A single crane often cannot meet the operating needs. Machine or multi-machine hoisting is increasing. [0003] At present, the hoisting of two machines often adopts the manual preparation of the hoisting operation pla...

Claims

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Application Information

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IPC IPC(8): G06Q10/04
Inventor 安剑奇陈诗桓于艳林艺辉朱露莎
Owner CENT SOUTH UNIV
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