Design method of cabin ventilation system based on mbse co-simulation technology

By using MBSE co-simulation technology and employing SysML system models, the entire process of cabin ventilation system design and verification was carried out in an integrated manner, which solved the problems of information silos and design conflicts in traditional design and improved design efficiency and reliability.

CN122452020APending Publication Date: 2026-07-24CHINA SHIP DEV & DESIGN CENT
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA SHIP DEV & DESIGN CENT
Filing Date
2026-04-21
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Traditional cabin ventilation system design relies on a document-based linear approach, which leads to information asynchrony, distorted communication of design intent, design conflicts, insufficient space, and substandard performance. The lack of a unified collaborative platform results in design rework, cost overruns, and project delays.

Method used

Using MBSE co-simulation technology, the SysML system model is used for integrated design and multi-dimensional verification, including requirements modeling, functional simulation, performance simulation and 3D digital design, to achieve integrated design and verification of the entire cabin ventilation system.

Benefits of technology

It improves the efficiency, integrity and reliability of the design, avoids the distortion of the design intent, reduces the risk of design rework and R&D costs, and realizes the full-dimensional verification and spatial adaptability of the system.

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Abstract

The application discloses a kind of based on MBSE joint simulation technology's cabin ventilation system design method, first obtain the heat and air consumption parameter of ship cabin equipment, synchronization to the SysML system model based on MBSE construction;System function and performance requirement are analyzed by requirement modeling, and parameter modeling obtains the ventilation and cabin target environment parameter requirement;Design system physical architecture, complete function decomposition and sub-equipment distribution, and the architecture feasibility is verified by function simulation;Performance simulation model is constructed, and the optimal scheme is selected by simulating actual working condition, and the performance feasibility is verified by long-time simulation;Finally complete system three-dimensional digital design and space arrangement, and complete design after verifying space feasibility.The application realizes cabin ventilation system whole-process model-driven design, significantly improves design efficiency and reliability, reduces design rework risk.
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Description

Technical Field

[0001] This invention relates to the field of overall design of marine engine room environmental control systems, and specifically to a design method for engine room ventilation systems based on MBSE co-simulation technology. Background Technology

[0002] The engine room ventilation system is a core and essential system for ensuring the safe and efficient operation of a ship's power lifeline. Firstly, it is responsible for providing forced cooling to critical equipment such as the main engine and generators operating at high speeds, preventing them from malfunctioning and shutting down due to overheating, and ensuring the normal beating of this "power heart." Secondly, it is directly related to personnel safety, as it can remove any flammable or toxic gases that may leak from the engine room, preventing dangerous accidents, and control the spread of smoke in the event of a fire, creating conditions for firefighting. Furthermore, good ventilation provides sufficient air for equipment combustion, improving fuel efficiency. Therefore, a scientifically designed and reliably operating engine room ventilation system is the cornerstone for ensuring a ship's survivability, safety, economy, and environmental friendliness.

[0003] Traditional cabin ventilation system design relies on a document-based linear approach. This method centers on two-dimensional drawings and extensive technical documentation, with various disciplines working in parallel. Lacking a unified collaborative platform, this approach easily leads to information asynchrony, distorted communication of design intent, and frequently results in problems such as piping and structural conflicts, insufficient space for equipment placement, or substandard system performance later on, causing design rework, cost overruns, and project delays. Its fundamental flaws lie in information silos, difficulties in traceability, and insufficient understanding of the overall complexity of the system. Summary of the Invention

[0004] The purpose of this invention is to provide a design method for cabin ventilation systems based on MBSE co-simulation technology, so as to realize integrated design and multi-dimensional verification of cabin ventilation systems, and improve the efficiency, integrity, consistency and reliability of system design.

[0005] To address the aforementioned technical problems, this invention provides a design method for a cabin ventilation system based on MBSE co-simulation technology, comprising the following steps: S1. Obtain the heating parameters and air consumption parameters of the equipment in the ship's engine room, and synchronize the heating parameters and air consumption parameters to the SysML system model built based on MBSE; S2. Based on the SysML system model, the functional and performance requirements of the cabin ventilation system are analyzed through demand modeling, and the ventilation volume design requirements and cabin target environmental parameter requirements of the cabin ventilation system are calculated through parameter modeling. S3. Based on functional and performance requirements, design the physical architecture of the cabin ventilation system, complete the activity flow decomposition and sub-equipment function allocation of the cabin ventilation system, and perform functional simulation based on the SysML system model to verify the functional feasibility of the physical architecture. S4. Based on the verified physical architecture, construct a performance simulation model of the cabin ventilation system, simulate the actual operating conditions of the cabin ventilation system to perform performance simulation, select the optimal system scheme based on the performance simulation results, and verify the performance feasibility of the optimal system scheme through long-term simulation. S5. Based on the optimal system solution, complete the three-dimensional digital design and spatial layout of the cabin ventilation system, verify the feasibility of the spatial layout of the cabin ventilation system, and complete the design of the cabin ventilation system.

[0006] According to the above scheme, in step S1, the heating parameter is the total heating power of the core operating equipment in the ship's engine room, and the air consumption parameter is the total air consumption required for the operation of the equipment in the ship's engine room.

[0007] According to the above scheme, in step S2, the requirement modeling is realized through SysML requirement diagram, which provides a structured definition and full-process traceability of functional and performance requirements; the parameter modeling is realized through SysML parameter diagram, which updates the ventilation volume design requirements and cabin target environmental parameter requirements in conjunction with the dynamic changes of the input heat generation parameters and air consumption parameters.

[0008] According to the above scheme, in step S2, the functional requirements include the functional requirements corresponding to the normal operation of the cabin ventilation system, fault self-handling, energy-saving operation, and safety protection; the performance requirements include the quantitative design requirements for system reliability, maintainability, safety, environmental adaptability, and energy consumption control.

[0009] According to the above scheme, in S3, the physical architecture design is completed through SysML module definition diagram and internal module diagram, which defines the module composition, interface relationship and data interaction logic of the cabin ventilation system; the activity process decomposition is realized through SysML activity diagram, which decomposes and allocates the overall function of the cabin ventilation system to the corresponding sub-equipment modules step by step.

[0010] According to the above scheme, in S3, functional simulation is implemented using a SysML state machine diagram to verify the integrity of the functional logic and the feasibility of the execution flow of the nacelle ventilation system under all operating conditions. S3 also includes: generating multiple sets of alternative physical architectures with different fan configurations based on a preset fan parameter library; the alternative physical architectures include nacelle ventilation system architecture schemes with different numbers of fans and different fan operating parameter configurations.

[0011] According to the above scheme, in S4, the performance simulation model includes a heat generation simulation module, a heat exchange calculation module, a fan operation simulation module, an operating condition control module, and a fault injection module, which are used to simulate the actual operating conditions of the nacelle ventilation system under normal, extreme, and fault conditions. The core verification indicators of the performance simulation include the ambient temperature inside the nacelle, the fan operating status, and the compliance of the actual ventilation volume of the system. The optimal system scheme is the nacelle ventilation system configuration scheme that has the best overall reliability, energy consumption, and space adaptability under the premise of meeting all performance requirements.

[0012] According to the above scheme, in S5, the three-dimensional digital design and spatial layout are completed based on the three-dimensional model of the selected equipment and the overall spatial constraints of the cabin, generating a three-dimensional layout model of the cabin ventilation system, and verifying the spatial non-interference of system equipment, pipelines, cabin structure and other related systems.

[0013] The present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the cabin ventilation system design method based on MBSE co-simulation technology described above.

[0014] The present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the cabin ventilation system design method based on MBSE co-simulation technology described above.

[0015] Beneficial effects This invention, based on MBSE co-simulation technology, constructs a model-driven, end-to-end integrated design system for cabin ventilation systems. It addresses the shortcomings of traditional document-based linear design, such as information silos, fragmented design stages, and a disconnect between requirements and implementation, leading to high rework rates and insufficient design consistency and reliability. Using a unified SysML system model as its core, this invention integrates the entire design process—from requirements analysis and architecture design to simulation verification and spatial implementation—achieving end-to-end data consistency and traceability of design requirements, fundamentally preventing the distortion of design intent transmission. Furthermore, through a progressive co-simulation approach—"functional simulation to verify architectural feasibility, performance simulation to select the optimal solution, and 3D design to verify spatial adaptability"—this invention enables comprehensive verification of system functionality, performance, and spatial adaptability under all operating conditions in a virtual environment early in the design phase. This breaks through the inherent limitations of traditional design, where functional design, performance verification, and spatial layout are disconnected, significantly reducing design rework risks and R&D costs, and substantially improving the efficiency, completeness, and reliability of cabin ventilation system design. Attached Figure Description

[0016] Figure 1This is a Sysml model requirement diagram of a ship's engine room ventilation system according to an embodiment of the present invention; Figure 2 This is a Sysml model parameter diagram of a ship engine room ventilation system according to an embodiment of the present invention; Figure 3 This is a schematic diagram of the Sysml model module composition of a ship engine room ventilation system according to an embodiment of the present invention; Figure 4 This is a system context internal module diagram of a Sysml model of a ship engine room ventilation system according to an embodiment of the present invention; Figure 5 This is a schematic diagram of the internal modules of a cabin ventilation system according to an embodiment of the present invention; Figure 6 This is a schematic diagram of ventilation and heat exchange between the inside and outside of the cabin according to an embodiment of the present invention; Figure 7 This is a schematic diagram of internal and external ventilation according to an embodiment of the present invention; Figure 8 This is a schematic diagram of in-cabin heat exchange according to an embodiment of the present invention; Figure 9 This invention provides a uniform distribution of low-temperature air according to one embodiment. Figure 10 This is a Sysml model state machine diagram of a ship engine room ventilation system according to an embodiment of the present invention; Figure 11 This is a performance model diagram of a ship's engine room ventilation system according to an embodiment of the present invention; Figure 12 This is a simulation result of the normal mode of a ship's engine room ventilation system according to an embodiment of the present invention; Figure 13 This is a three-dimensional model of the engine room layout of a ship's engine room ventilation system according to an embodiment of the present invention. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of the embodiments of this disclosure clearer, the technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this disclosure. All other embodiments obtained by those skilled in the art based on the described embodiments of this disclosure without creative effort are within the scope of protection of this disclosure.

[0018] Against the backdrop of existing technologies, Model-Based Systems Engineering (MBSE) has emerged, offering an innovative approach to addressing the aforementioned challenges. MBSE is a comprehensive methodology that uses a formal modeling language to support system requirements, design, analysis, verification, and validation activities. For ship engine room ventilation systems, applying MBSE means starting from requirements analysis, clearly defining functional and performance requirements such as wind speed, air volume, temperature control, and fire modes through logical models. This drives the design of the physical architecture, enabling real-time linkage and integrated verification with models of the overall ship, engine, and electrical subsystems. This allows for the early identification and resolution of potential conflicts in a virtual environment, significantly improving the integrity, consistency, and reliability of the design.

[0019] To address the above technical problems, this invention proposes a cabin ventilation system design method based on MBSE co-simulation technology, specifically including the following steps: Step 1: Determine the heat output and requirements of the systems and equipment within the cabin. The heat generation Q and air consumption A of the equipment in the engine room are determined according to the mission requirements of the ship, and the relevant parameters are synchronized to the SysML model to facilitate the parameter calculation of the engine room ventilation system in the model.

[0020] Step 2: Determine the performance and functional requirements of the cabin ventilation system. Requirements analysis of the naval ventilation system was conducted using requirement diagrams to determine its functional requirements, providing support for the physical architecture design and activity decomposition of the system. The required ventilation volume R for the naval ventilation system fans and the target naval temperature T were calculated using parametric diagrams. c The parameter diagram ensures that the requirements of the cabin ventilation system can be directly derived even when the heat generation Q and air consumption A of the equipment in the cabin change, without the need for repeated calculations.

[0021] Step 3: Design the physical architecture of the cabin ventilation system and perform activity flow decomposition and functional simulation. The basic components of the nacelle ventilation system are designed based on functional requirements, and fans are selected according to the fan parameter library to determine the scheme with different numbers of fans. An activity diagram is modeled to further decompose the activities of the nacelle ventilation system to the corresponding sub-equipment to achieve full functional satisfaction. The feasibility of the scheme is verified by functional simulation through state machine diagram.

[0022] Step 4: Determine the final solution and verify its feasibility through performance simulation. Based on a defined physical architecture, a performance model is designed, and different modules are assigned corresponding attributes. Performance simulations are then performed to simulate the changes in the state of each wind turbine and the target nacelle temperature T under actual operating conditions. cTo determine whether the requirements can be met, the optimal wind turbine combination scheme is selected based on the simulation results, and the feasibility of the model is verified through long-term simulation.

[0023] Step 5: Feasibility Verification of 3D Design and Layout of Cabin Ventilation System Based on the determined design scheme of the cabin ventilation system, collect the corresponding three-dimensional samples of the fans, design a three-dimensional layout model, and verify the feasibility of the design scheme layout based on the layout of the three-dimensional model.

[0024] The advantages and beneficial effects of the method used in this invention include: 1. A complete SysML model of the engine room ventilation system was established, which integrates the design of multiple disciplines such as overall design, marine engineering and electrical systems. This facilitates timely adjustments to changes that occur during the design process and can be applied to the design of engine room ventilation systems for any ship.

[0025] 2. The performance simulation model simulated the actual operation of the cabin ventilation model, which effectively verified the feasibility of the design and provided technical support for the design.

[0026] 3. The three-dimensional layout model designed using this method provides a model foundation for subsequent multidisciplinary three-dimensional simulations and can also serve as a reference for drawing design.

[0027] To facilitate understanding by those skilled in the art, the following example is provided.

[0028] 1. Determine the heat output and requirements of the systems and equipment within the cabin. Based on the equipment conditions in the engine room of a certain ship, the total heat generation Q of the heat-generating equipment in the computer section is 240kW, and the air consumption A of the equipment is 4000m³. 3 / h, the relevant parameters are built into the SysML model of the cabin ventilation system for parametric diagram calculation.

[0029] 2. Determine the performance and functional requirements of the cabin ventilation system. The demand for cabin ventilation systems is analyzed to form a demand diagram as shown in the figure. Figure 1 Determine the functional requirements of the cabin ventilation system, including fault self-handling mode, health management mode, and energy-saving mode; establish parameter diagrams as follows: Figure 2 The computer cabin is at the target temperature T c The temperature is 55°C, and the cabin volume is 400m³. 3 At that time, the required total ventilation volume R is approximately 60,000 m³. 3 / h, and select the fan based on this ventilation volume.

[0030] 3. Design the physical architecture of the cabin ventilation system and perform activity process decomposition and functional simulation. Design the basic components and internal interactions of the cabin ventilation system using module definition diagrams and internal module diagrams (see...). Figures 3-5 Different fan selection schemes were determined, including schemes with 3 reversible variable frequency fans and 5 reversible variable frequency fans; and an activity diagram was created (see...). Figures 6-9 ) Analyze the functions that each component module needs to undertake, and use a state machine diagram (see Figure 10 It is feasible to perform functional simulation verification of the implementation of the functional process.

[0031] 4. Determine the final solution through performance simulation. Performance models are designed based on a defined physical architecture, such as... Figure 11 Internal heating devices, heat exchange modules, fan replacement modules, fault injection modules, and state control components were designed separately. A performance simulation model of the naval ventilation system was established, and the operation of the naval ventilation system under different modes was simulated. The simulation determined the optimal scheme of 5 fans, and the simulation results were obtained through long-term simulation. Figure 12 This verified the feasibility of the design scheme.

[0032] 5. Feasibility verification of the three-dimensional design and layout of the cabin ventilation system Design a 3D model of the nacelle ventilation system. Based on the collected information on the layout of other equipment in the nacelle, study the optimal nacelle fan layout scheme and generate a 3D model as follows: Figure 13 This confirmed the feasibility of the scheme in terms of layout, providing a foundation for subsequent dynamic simulation of three-dimensional wind and temperature fields.

[0033] It should be noted that, depending on the implementation needs, the various steps / components described in this application can be broken down into more steps / components, or two or more steps / components or parts of the operation of steps / components can be combined into new steps / components to achieve the purpose of this invention.

[0034] Those skilled in the art will readily understand that the above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A design method for a cabin ventilation system based on MBSE co-simulation technology, characterized in that, Includes the following steps: S1. Obtain the heating parameters and air consumption parameters of the equipment in the ship's engine room, and synchronize the heating parameters and air consumption parameters to the SysML system model built based on MBSE; S2. Based on the SysML system model, the functional and performance requirements of the cabin ventilation system are analyzed through demand modeling, and the ventilation volume design requirements and cabin target environmental parameter requirements of the cabin ventilation system are calculated through parameter modeling. S3. Based on functional and performance requirements, design the physical architecture of the cabin ventilation system, complete the activity flow decomposition and sub-equipment function allocation of the cabin ventilation system, and perform functional simulation based on the SysML system model to verify the functional feasibility of the physical architecture. S4. Based on the verified physical architecture, construct a performance simulation model of the cabin ventilation system, simulate the actual operating conditions of the cabin ventilation system to perform performance simulation, select the optimal system scheme based on the performance simulation results, and verify the performance feasibility of the optimal system scheme through long-term simulation. S5. Based on the optimal system solution, complete the three-dimensional digital design and spatial layout of the cabin ventilation system, verify the feasibility of the spatial layout of the cabin ventilation system, and complete the design of the cabin ventilation system.

2. The cabin ventilation system design method based on MBSE co-simulation technology according to claim 1, characterized in that, In step S1, the heating parameter is the total heating power of the core operating equipment in the ship's engine room, and the air consumption parameter is the total air consumption required for the operation of the equipment in the ship's engine room.

3. The cabin ventilation system design method based on MBSE co-simulation technology according to claim 1, characterized in that, In step S2, requirement modeling is achieved through SysML requirement diagrams, which provide structured definitions and full-process traceability for functional and performance requirements; parameter modeling is achieved through SysML parameter diagrams, which update ventilation design requirements and cabin target environmental parameter requirements in conjunction with the dynamic changes of input heat generation and air consumption parameters.

4. The cabin ventilation system design method based on MBSE co-simulation technology according to claim 1, characterized in that, In step S2, the functional requirements include the functional requirements for normal operation of the cabin ventilation system, self-handling of faults, energy-saving operation, and safety protection; the performance requirements include the quantitative design requirements for system reliability, maintainability, safety, environmental adaptability, and energy consumption control.

5. The cabin ventilation system design method based on MBSE co-simulation technology according to claim 1, characterized in that, In S3, the physical architecture is designed using SysML module definition diagrams and internal module diagrams, defining the module composition, interface relationships, and data interaction logic of the cabin ventilation system; the activity process decomposition is achieved using SysML activity diagrams, which decompose and allocate the overall functions of the cabin ventilation system to the corresponding sub-device modules level by level.

6. The cabin ventilation system design method based on MBSE co-simulation technology according to claim 1, characterized in that, In S3, functional simulation is implemented using SysML state machine diagrams to verify the completeness of the functional logic and the feasibility of the execution flow of the nacelle ventilation system under all operating conditions. S3 also includes generating multiple alternative physical architectures with different fan configurations based on a pre-set fan parameter library. These alternative physical architectures include nacelle ventilation system architecture schemes with different numbers of fans and different fan operating parameter configurations.

7. The cabin ventilation system design method based on MBSE co-simulation technology according to claim 1, characterized in that, In S4, the performance simulation model includes a heat generation simulation module, a heat exchange calculation module, a fan operation simulation module, an operating condition control module, and a fault injection module, which are used to simulate the actual operating conditions of the nacelle ventilation system under normal, extreme, and fault conditions. The core verification indicators of the performance simulation include the ambient temperature inside the nacelle, the fan operating status, and the compliance of the actual ventilation volume of the system. The optimal system solution is the nacelle ventilation system configuration scheme that achieves the best overall reliability, energy consumption, and space adaptability while meeting all performance requirements.

8. The cabin ventilation system design method based on MBSE co-simulation technology according to claim 1, characterized in that, In S5, the three-dimensional digital design and spatial layout are completed based on the three-dimensional model of the selected equipment and the overall spatial constraints of the cabin, generating a three-dimensional layout model of the cabin ventilation system, and verifying the spatial non-interference of system equipment, pipelines, cabin structure and other related systems.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the cabin ventilation system design method based on MBSE co-simulation technology as described in any one of claims 1 to 9.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the cabin ventilation system design method based on MBSE co-simulation technology as described in any one of claims 1 to 9.