Optimal cut-set virtual disassembly sequence planning method for large-scale and complex equipment

Abstract

The invention discloses a large-scale complex equipment hierarchical association optimal cut set virtual disassembling and assembling sequence planning method. The method comprises the steps of 1, constructing a multi-level relationship disassembling and assembling tree model of a large-scale complex equipment disassembling and assembling object; 2, establishing an association relationship disassembling and assembling network model of disassembling and assembling objects; 3, generating a disassembling cut set; 4, obtaining a mechanical feasibility disassembly initial planning sequence; 5, verifying a mechanical feasibility disassembling initial planning sequence; and 6, obtaining a final planning sequence of mechanical feasibility assembly. According to the method, the hierarchical relationship of the disassembled object is considered; a disassembling and assembling sequence is planned by fusing and describing the mutual association relationship between the disassembling object part nodes and the assembling nodes; the structure of the disassembling and assembling object is well reflected, the number of elements of each layer is reduced, the analysis complexity of the disassemblingand assembling object is reduced, the collision real-time detection method of the space-time correlation tracking strategy is used for verifying the mechanical feasibility disassembling initial planning sequence, and the final disassembling and assemblling sequence between each part node and each assembly node can be planned.

Description

technical field [0001] The invention belongs to the technical field of virtual disassembly sequence planning, and in particular relates to a method for planning a virtual disassembly sequence planning of a large-scale complex equipment hierarchically associated optimal cut set. Background technique [0002] In the fields of industry, construction, aerospace, military and other fields, the virtual reality system is an ideal training and practice system. Before the actual operation of the equipment, the operator can conduct operation training in the virtual environment in order to master the equipment and operation technology proficiently. Combatants can cultivate combat command capabilities in a virtual battlefield environment or virtual battle, or conduct simulation evaluations on the formulated combat strategies and tactics. Maintenance personnel can carry out maintenance skills training in the virtual maintenance environment. Due to the existence of a large number of comp...

AI Technical Summary

Problems solved by technology

In order to make the virtual disassembly sequence closer to the actual maintenance disassembly operation, generally in the virtual maintenance of large and complex equipment, the trainees will carry out the maintenance process in accordance with the preset disassembly sequence during the maintenance operation process, while the existing Disassembly and assembly sequence generation methods are basically based on expert knowledge, and there are problems such as large amount of data, insufficient matching ability of knowledge base, low degree of intelligence, dependence on expert experience, poor versatility, and difficulty in transplanting to other systems. The disassembly sequence generation method of the algorithm has the disadvantages of slow optimization calculation speed, easy to fall into local optimum, non-convergence, etc.

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