CN-115718952-B - Ship total cabin layout design method considering RMS requirements

CN115718952BCN 115718952 BCN115718952 BCN 115718952BCN-115718952-B

Abstract

The application relates to the technical field of ship design, in particular to a ship overall cabin layout design method considering RMS requirements. The method comprises the steps of obtaining an RMS design criterion of a cabin overall layout and design indexes of the cabin overall layout, describing the appearance of the cabin and equipment, respectively establishing a design index description model for a plurality of indexes according to the described cabin and equipment, obtaining constraint conditions of the overall layout, describing, establishing a cabin layout optimization model considering RMS requirements according to the described constraint conditions and the design index description model, selecting an intelligent optimization solving algorithm, solving the cabin layout optimization model to obtain a cabin optimization layout design scheme, and integrating requirements such as reliability maintainability guarantee and the like into the overall design in the cabin layout process of the ship overall design, coordinating general quality characteristics such as reliability, maintainability and guaranteeing and developing integrated synchronous optimization design, and improving design efficiency and quality.

Inventors

LUO XU
YANG YONGMIN
GE ZHEXUE
ZHANG SHIGANG
LI LEI
LUO YANTING
SHEN GUOJI

Assignees

中国人民解放军国防科技大学

Dates

Publication Date: 20260508
Application Date: 20221111

Claims (7)

1. A method of designing a total cabin layout of a ship taking into account RMS requirements, the method comprising: Obtaining an RMS design criterion of the overall cabin layout, a design index of the overall cabin layout and an association relation between the RMS design criterion and the design index; describing the appearance of a cabin and equipment, and establishing a plurality of design index description models for a plurality of indexes according to the described cabin and equipment, the RMS design criteria, the design indexes and the association relations; Obtaining constraint conditions of the overall layout, describing, and establishing a cabin layout optimization model considering the RMS requirement according to the described constraint conditions and the design index description model; an intelligent optimizing solving algorithm is selected, and the cabin layout optimizing model is solved, so that a cabin optimizing layout design scheme is obtained; The cabin layout optimization model is solved by expanding and applying a particle swarm algorithm to perform intelligent optimization, taking the position and the azimuth of the equipment as independent variables, applying the particle swarm algorithm and performing multiple optimization solutions on a plurality of design index description models respectively, taking the particles of the position and the azimuth solution result of the equipment as part of initial solutions of an RMS layout optimization problem search space; the method comprises the steps of establishing a plurality of design index description models for a plurality of indexes according to the described cabin and equipment, the RMS design criteria, the design indexes and the association relations: Equipment operation space index: in the formula, Is a device An operating space index in a cabin layout environment; Is a device An operating space index under the influence of a cabin bulkhead; Is a device Maintaining influence factors of the operation frequency on the cabin operation space index; Channel width index: in the formula, Importance weight for the ith channel; A channel width index indicating an i-th channel; and (5) overhaul hoisting quantity indexes: in the formula, The total number of equipment with hoisting requirements in overhaul; Is hoisting equipment Is the mass of (3); Is a device The hoisting distance to the hoisting opening; reliable safety distance index: in the formula, The number of layout devices with function association requirements; For equipment to be laid , Importance weights required by the functional association between the two; For equipment to be laid , The distance between the two parameters meets the description parameters of the related requirements; operation convenience index: wherein, the device 0 represents a cabin door; Is a device To the device The personnel operating circulation frequency; Is a device To the device Is a circulation distance of the air conditioner; the obtaining and describing the constraint conditions of the overall layout, and establishing a cabin layout optimization model considering the RMS requirements according to the described constraint conditions and the design index description model comprises the following steps: The constraint conditions for obtaining the overall layout comprise non-interference constraint, compatibility constraint and cabin layout field constraint: The non-interference constraint description model is as follows: ; The capacitive constraint description model is: ; The domain constraint describing model is as follows: ; the cabin layout optimization model is a multi-constraint multi-objective optimization problem, and is as follows: 。
2. the method of claim 1, wherein the design criteria for the overall cabin layout include equipment operating space, aisle width, overhaul capacity, safe distance, and operational convenience.
3. The method of claim 2, wherein the describing the appearance of the cabin and the equipment comprises: Simplifying each equipment into a cuboid and cylindrical enveloping body, enabling the cabin equipment to be represented by rectangular primitives and circular primitives on the cabin deck plane, defining a plane rectangular coordinate system Cabin RMS layout scheme Comprises the following components Apparatus to be laid out, wherein The individual devices are simplified as Each rectangular primitive , , The individual devices are simplified as Circular primitives , The design variable number of the layout scheme is The layout scheme is described as: Wherein, the Is a primitive Centroid coordinates of (c); is to determine the rectangular graphic element Binary variable of long-side azimuth, if The long side of the rectangle and Parallel axes, if The long side of the rectangle and The axes are parallel.
4. The method of claim 1, wherein the selecting an intelligent optimization solution algorithm to solve the cabin layout optimization model, the obtaining a cabin optimization layout design solution further comprises: Processing targets and constraints in the cabin layout optimization model, constructing an evaluation function by using a linear weighting sum method to convert multiple targets into single target problems, constructing a penalty function to convert constraint optimization problems into unconstrained optimization problems, and obtaining an adaptability function of the cabin layout optimization scheme X to be expressed as: in the formula, Is the object of division Is a normalization factor of (a); Is the object of division Weight coefficient of (2); is a penalty factor; Is the scheme Violation of constraints Constraint violation degree of (a).
5. A design apparatus using the method for designing a ship's overall cabin layout taking into account RMS requirements according to any one of claims 1-4, characterized in that the apparatus comprises: The system comprises a criterion and an index acquisition module, wherein the criterion and index acquisition module is used for acquiring an RMS design criterion of the overall cabin layout, a design index of the overall cabin layout and an association relation between the RMS design criterion and the design index; The design index description model building module is used for describing the appearance of the cabin and the appearance of the equipment and respectively building a design index description model for a plurality of indexes according to the cabin and the equipment after description; the cabin layout optimization model building module is used for obtaining and describing constraint conditions of the overall layout and building a cabin layout optimization model considering the RMS requirements according to the described constraint conditions and the design index description model; The system comprises a solution module, a system initialization random generation set-scale particles, a calculation module and a calculation module, wherein the solution module is used for selecting an intelligent optimizing solution algorithm to solve the cabin layout optimization model to obtain a cabin optimization layout design scheme, the solution to the cabin layout optimization model comprises the steps of expanding an application particle swarm algorithm to perform intelligent optimization, taking the position and the azimuth of the equipment as independent variables, applying the particle swarm algorithm to perform multiple optimization solutions to a plurality of design index description models respectively, taking the position and azimuth solution result particles of the equipment as partial initial solutions of an RMS layout optimization problem search space, enabling the system initialization random generation set-scale particles as partial initial solutions of the RMS layout optimization problem search space, and enabling the particles to follow the optimal particles in the solution space at a set speed to search, and finally obtaining the RMS layout optimization optimal solution.
6. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 4 when the computer program is executed.
7. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 4.

Description

Ship total cabin layout design method considering RMS requirements Technical Field The application relates to the technical field of ship design, in particular to a ship overall cabin layout design method considering RMS requirements. Background The layout design of the ship cabin equipment mainly determines the position of each equipment in the limited space of the cabin, and is an important working content of the overall design of the ship. In the overall design process of the ship cabin, a large amount of complex equipment is arranged in a limited cabin space, so that the requirements of various war technical indexes are met, the requirements of general quality characteristics and life guarantee requirements of the warriors are met as much as possible, and the overall arrangement work task is heavy. In the prior art, in order to comprehensively consider the general quality characteristic requirements, the cabin layout design is usually carried out according to experience, then reliability maintenance assurance analysis and verification are carried out, and the design is iteratively improved, so that more remarkable effects are achieved. However, as the overall layout design of the ship cabin has more constraints, the repeated iteration modification design has wide scope and high cost, so that the layout design has lower efficiency and low design level. The cabin layout is difficult to coordinate and modify in the later stage of development, so that the general quality characteristic requirements such as maintainability, reliability, assurance (RMS) and the like have to be sacrificed or ignored in order to meet the technical performance requirements of the basic battle of equipment, and the maintenance and the assurance of the equipment are heavy and even difficult to finish. On the other hand, in the general quality characteristic design process such as maintainability reliability guarantee, the work items are numerous, the characteristic design schemes lack of coordination and balance, the problem that single characteristic is underdesigned easily occurs due to the fact that the characteristic design schemes are out of service. Therefore, in the cabin layout process of the ship overall design, requirements such as reliability maintainability guarantee and the like are required to be integrated into the overall design, universal quality characteristics such as reliability, maintainability, guarantee and the like are coordinated, integrated synchronous optimization design is developed, and design efficiency and quality are improved. However, the existing cabin layout optimization design mainly considers functional position constraint and geometric constraint of each device, realizes optimization of functions, stability and other attributes, lacks integrated modeling analysis consideration of reliability maintenance guarantee requirements, and does not have a proper method to integrate the reliability maintenance guarantee design into the ship cabin overall design, so that the efficiency and benefit of the general quality characteristic design work of the cabin layout are greatly influenced, and a ship cabin overall layout reliability maintenance guarantee synchronous design method is urgently needed. Disclosure of Invention Based on this, it is necessary to provide a method for designing the overall cabin layout of the ship in consideration of the RMS requirement in view of the above technical problems. A method of designing a ship's overall cabin layout taking into account RMS requirements, the method comprising: Obtaining an RMS design criterion of the overall cabin layout, a design index of the overall cabin layout and an association relation between the RMS design criterion and the design index; Describing the appearance of a cabin and equipment, and respectively establishing a design index description model for a plurality of indexes according to the described cabin and equipment; Obtaining constraint conditions of the overall layout, describing, and establishing a cabin layout optimization model considering the RMS requirement according to the described constraint conditions and the design index description model; an intelligent optimizing solving algorithm is selected, and the cabin layout optimizing model is solved, so that a cabin optimizing layout design scheme is obtained; The cabin layout optimization model is solved by expanding an application particle swarm algorithm, taking the position and the direction of the equipment as independent variables, applying the particle swarm algorithm, respectively carrying out multiple optimization solutions on a plurality of design index description models, taking the position and the direction solving result particles of the equipment as part of initial solutions of an RMS layout optimization problem search space, randomly generating particles with a set scale by a system initialization as part of initial solutions of the RMS layout optimization problem s