Complex system module division method based on system, function and structure layering

A complex system and layered model technology, applied in genetic models, power amplification, calculation models, etc., can solve initial value sensitivity, poor global convergence performance, fuzzy clustering method is not suitable for computer solutions, and does not consider the division results issues such as the impact of

Pending Publication Date: 2020-06-16
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Claims
  • Application Information

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Problems solved by technology

[0003] In terms of module division algorithms, most of them use fuzzy clustering methods such as transitive closure and complex networks, and optimization algorithms such as fuzzy C-means, simulated annealing, and particle swarm optimization algorithms. Fuzzy clustering methods are not suitable for computer solutions, and

Method used

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  • Complex system module division method based on system, function and structure layering
  • Complex system module division method based on system, function and structure layering
  • Complex system module division method based on system, function and structure layering

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Embodiment Construction

[0065] Taking the nose of a civil aircraft as an example, the present invention is verified by examples.

[0066] Step 1: Build the SFS layered model

[0067] Step 1.1: Create a subset of the system

[0068] Since the division of system components for the modular delivery of the civil aircraft nose is relatively complete, the system subset of the civil aircraft nose is directly divided into five subsystems: flight control, hydraulic pressure, interior decoration, environmental control, and electrical and electronic subsystems.

[0069] Step 1.2: Form functional and structural subsets

[0070] Take the flight control system, a subsystem in the nose of a civil aircraft, as an example to verify the subsequent module division method. The rest of the subsystems can be divided according to the example.

[0071] Combined with the product bill of materials, the following list of main components is formed as shown in Table 1.

[0072] as follows Figure 6 Analyze the function of t...

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Abstract

The invention discloses a complex system module division method based on system, function and structure layering, and belongs to the field of modular manufacturing. The method comprises the followingsteps: firstly, establishing an SFS hierarchical model, and establishing a module division principle based on a functional structure and a DFX on the basis of the SFS hierarchical model; then providing a pre-division principle for module pre-division, and reducing the complexity of the system; under the guidance of a module division principle, establishing each sub-correlation matrix, and establishing a comprehensive correlation matrix according to the weight; solving a granularity interval of the module, and generating a module division scheme set in combination with an improved genetic algorithm and an FCM clustering algorithm; and evaluating the module division scheme set to obtain an optimal module division scheme. A complex product system is divided into reasonable modules, preparation is made for subsequent module configuration, assembly, recovery and the like, and the design and production efficiency is improved.

Description

technical field [0001] The patent of the present invention relates to the field of sub-modular assembly and manufacturing. Specifically, it is a method of establishing a layered model, obtaining the functional structure mapping decomposition of a relatively small subsystem, and performing module division to obtain an optimal division scheme. Background technique [0002] In the existing research on module division methods, in terms of module division criteria, most of them still focus on products with relatively simple structures and mass production, and do not consider complex systems customized in small batches, such as in the modular delivery and assembly of civil aircraft noses. Each system component has the characteristic of mixing multiple attributes. Therefore, how to consider the characteristics of the above-mentioned complex systems, reduce the complexity of division, and make the division results meet the design requirements of a certain life cycle on the basis of ...

Claims

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Application Information

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IPC IPC(8): G06N3/00G06N3/12B64C13/50
CPCB64C13/50G06N3/006G06N3/126
Inventor 李波姜芊芊
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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