CN113673039B - Ship ventilation system design method, system, medium and terminal based on thermal environment simulation - Google Patents

Ship ventilation system design method, system, medium and terminal based on thermal environment simulation Download PDF

Info

Publication number
CN113673039B
CN113673039B CN202111037269.3A CN202111037269A CN113673039B CN 113673039 B CN113673039 B CN 113673039B CN 202111037269 A CN202111037269 A CN 202111037269A CN 113673039 B CN113673039 B CN 113673039B
Authority
CN
China
Prior art keywords
ventilation system
design
ventilation
thermal environment
cabin
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202111037269.3A
Other languages
Chinese (zh)
Other versions
CN113673039A (en
Inventor
王杰
王源淙
杨骏
朱明华
朱文敏
单小芬
张红伟
周泽麟
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jiangnan Shipyard Group Co Ltd
Original Assignee
Jiangnan Shipyard Group Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Jiangnan Shipyard Group Co Ltd filed Critical Jiangnan Shipyard Group Co Ltd
Priority to CN202111037269.3A priority Critical patent/CN113673039B/en
Publication of CN113673039A publication Critical patent/CN113673039A/en
Application granted granted Critical
Publication of CN113673039B publication Critical patent/CN113673039B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/15Vehicle, aircraft or watercraft design
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/27Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/08Thermal analysis or thermal optimisation

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Geometry (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Computer Hardware Design (AREA)
  • General Engineering & Computer Science (AREA)
  • Computational Mathematics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Analysis (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Automation & Control Theory (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Ventilation (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

The invention provides a ship ventilation system design method, a system, a medium and a terminal based on thermal environment simulation, which comprise the following steps: acquiring a calculation model construction strategy; constructing a cabin thermal environment calculation model based on the calculation model construction strategy; obtaining a scheme design strategy; generating a design scheme of the ship ventilation system based on the scheme design strategy; acquiring a thermal environment computing boundary condition; calculating a cabin thermal environment of the design; comparing the calculation result of the cabin thermal environment with the ventilation system optimization target, if the calculation result is accordant with the ventilation system optimization target, establishing a ship ventilation system design scheme model and providing the calculation result; otherwise, optimizing the design scheme until the optimized design scheme meets the ventilation system optimization target. The design method, the system, the medium and the terminal of the ship ventilation system based on the thermal environment simulation can automatically generate the optimal design scheme of the ship ventilation system based on the existing ship cabin model and the equipment parameters, and are quick and efficient.

Description

Ship ventilation system design method, system, medium and terminal based on thermal environment simulation
Technical Field
The invention relates to the technical field of ship ventilation, in particular to a ship ventilation system design method, a system, a medium and a terminal based on thermal environment simulation.
Background
With the development of economy, the ship design is more and more focused on the people-oriented concept, and the requirements on comfort and livability of the cabin thermal environment are obviously improved.
In the prior art, the digital transformation is continuously developed in recent years for ship enterprises, the integral digital level is greatly improved, and a large amount of three-dimensional models and computer-aided engineering are used in the research, development, design and manufacturing processes of ships. However, in the current cabin design, the ship ventilation system design is determined by a designer depending on similar ship types or past design experience. The rationality of the design scheme depends on the service level of a designer, has larger randomness, has no design criterion of a system and is not beneficial to the digital design of the ship.
Disclosure of Invention
In view of the above-mentioned drawbacks of the prior art, an object of the present invention is to provide a method, a system, a medium and a terminal for designing a ship ventilation system based on thermal environment simulation, which can automatically generate an optimal design scheme of the ship ventilation system based on the existing ship cabin model and equipment parameters, and is fast and efficient.
To achieve the above and other related objects, the present invention provides a method for designing a ship ventilation system based on thermal environment simulation, comprising the steps of: acquiring a cabin three-dimensional model of a ship, a ventilation system optimization target and a ventilation basic design constraint; acquiring ventilation equipment parameters based on a ventilation system knowledge base; extracting characteristic quantity of the cabin three-dimensional model, and acquiring a matched calculation model construction strategy from the ventilation system knowledge base based on the characteristic quantity; constructing a cabin thermal environment calculation model based on the calculation model construction strategy; obtaining a matched scheme design strategy from the ventilation system knowledge base according to the cabin thermal environment calculation model, the ventilation system optimization target and the ventilation basic design constraint; generating a design scheme of the ship ventilation system based on the scheme design strategy; acquiring a thermal environment computing boundary condition; calculating a cabin thermal environment of the design based on the thermal environment calculation boundary conditions and the ventilation device parameters; comparing the calculation result of the cabin thermal environment with the ventilation system optimization target, if the calculation result accords with the ventilation system optimization target, establishing a ship ventilation system design scheme model and providing the calculation result; otherwise, according to the design scheme, the ventilation system optimization target and the calculation result, selecting a scheme optimization strategy from the ventilation system knowledge base and optimizing the design scheme until the calculation result of the cabin thermal environment of the optimized design scheme meets the ventilation system optimization target.
In an embodiment of the present invention, the ventilation system optimization objective includes an allowable range of a temperature and a wind speed of a designated area in the cabin; the ventilation basic design constraint comprises one or more of an air pipe arrangement rule, a ventilation opening arrangement rule and a fan selection rule; the air duct arrangement rules comprise one or more of an air duct height range, an air duct width range and an air duct length range; the vent arrangement rules comprise one or more of a vent number range, a vent height range, a vent orientation, and a vent shape; the fan selection rule comprises a fan air volume range.
In an embodiment of the present invention, the characteristic parameters of the cabin three-dimensional model include one or more of cabin model size, cabin equipment heating value, and cabin wall heat transfer value; the calculation model construction strategy comprises one or more of a model geometric simplification method, a thermal load loading method and a boundary condition setting method.
In an embodiment of the present invention, the design scheme includes one or more of ventilation equipment air supply volume design, refrigeration volume design, ventilation duct size design, ventilation opening position design, air supply angle design, and air supply opening type design.
In an embodiment of the present invention, the optimization conditions in the optimization strategy include one or more of ventilation equipment air supply quantity, refrigeration capacity, ventilation duct size, ventilation opening position, air supply angle, and air supply opening type; the optimization algorithm adopted for optimizing the design scheme adopts a random optimization method, a genetic algorithm, an ant colony algorithm or an example algorithm.
The invention provides a ship ventilation system design system based on thermal environment simulation, which comprises a first acquisition module, a second acquisition module, an extraction module, a construction module, a third acquisition module, a generation module, a fourth acquisition module and a calculation comparison module;
the first acquisition module is used for acquiring a cabin three-dimensional model of the ship, a ventilation system optimization target and a ventilation basic design constraint;
the second acquisition module is used for acquiring ventilation equipment parameters based on a ventilation system knowledge base;
the extraction module is used for extracting the characteristic quantity of the cabin three-dimensional model, and acquiring a matched calculation model construction strategy from the ventilation system knowledge base based on the characteristic quantity;
the construction module is used for constructing a cabin thermal environment calculation model based on the calculation model construction strategy;
the third obtaining module is used for obtaining a matched scheme design strategy from the ventilation system knowledge base according to the cabin thermal environment calculation model, the ventilation system optimization target and the ventilation basic design constraint;
the generating module is used for generating a design scheme of the ship ventilation system based on the scheme design strategy;
the fourth acquisition module is used for acquiring a thermal environment calculation boundary condition;
the calculation comparison module is used for calculating the cabin thermal environment of the design scheme based on the thermal environment calculation boundary conditions and the ventilation equipment parameters; comparing the calculation result of the cabin thermal environment with the ventilation system optimization target, if the calculation result accords with the ventilation system optimization target, establishing a ship ventilation system design scheme model and providing the calculation result; otherwise, according to the design scheme, the ventilation system optimization target and the calculation result, selecting a scheme optimization strategy from the ventilation system knowledge base and optimizing the design scheme until the calculation result of the cabin thermal environment of the optimized design scheme meets the ventilation system optimization target.
The present invention provides a storage medium having stored thereon a computer program which, when executed by a processor, implements the above-described method for designing a marine ventilation system based on thermal environment simulation.
The invention provides a ship ventilation system design terminal based on thermal environment simulation, which comprises: a processor and a memory;
the memory is used for storing a computer program;
the processor is used for executing the computer program stored in the memory so that the ship ventilation system design terminal based on the thermal environment simulation can execute the ship ventilation system design method based on the thermal environment simulation.
The invention provides a ship ventilation system design system based on thermal environment simulation, which comprises the ship ventilation system design terminal based on thermal environment simulation, a user side and a ventilation system knowledge base;
the user side is used for selecting a cabin three-dimensional model, a ventilation system optimization target and a ventilation basic design constraint and transmitting the cabin three-dimensional model, the ventilation system optimization target and the ventilation basic design constraint to the ship ventilation system design terminal based on the thermal environment simulation;
the ventilation system knowledge base is used for providing ventilation equipment parameters, a calculation model construction strategy, a scheme design strategy and a scheme optimization strategy for the ship ventilation system design terminal based on the thermal environment simulation.
In an embodiment of the present invention, the ventilation system knowledge base includes a ventilation system database, a ventilation system rule base, and a ventilation system policy base;
the ventilation system database includes model data and ventilation device parameters; the model data comprise heat transmitted by the bulkhead, heat conduction coefficient of the bulkhead and heating value of equipment in the bulkhead; the ventilation equipment parameters comprise one or more of lamp type, illuminance curve, color temperature, installation mode, working voltage air pipe size specification, ventilation opening type and size, fan ventilation amount and performance curve;
the ventilation system rule base comprises a ventilation system optimization target and a ventilation basic design constraint; the ventilation system optimization targets comprise an allowable range of temperature and wind speed of a designated area in the cabin; the ventilation basic design constraint comprises one or more of an air pipe arrangement rule, a ventilation opening arrangement rule and a fan selection rule;
the ventilation system policy library comprises a calculation model construction policy, a scheme design policy and a scheme optimization policy; the computational model construction strategy, the solution design strategy, and the solution optimization strategy are generated based on a machine learning algorithm.
As described above, the design method, system, medium and terminal of the ship ventilation system based on thermal environment simulation have the following beneficial effects:
(1) The method can quickly solve and optimize the ship ventilation system based on the existing ship cabin model and equipment parameters by using a computer aided engineering and an optimization algorithm to obtain an optimal design scheme of the ship ventilation system;
(2) The accuracy of the design scheme is effectively improved, the labor participation links are reduced, and the working hours are saved;
(3) And analyzing the characteristic quantity and the result of the design history data in the ship ventilation system through a machine learning algorithm to form a corresponding ventilation system design strategy, and storing the strategy in a strategy library, so that the capability requirement on designers is reduced, and the digitization degree of the ship design is improved.
Drawings
FIG. 1 is a flow chart of a design method of a ship ventilation system based on thermal environment simulation according to an embodiment of the invention;
FIG. 2 is a schematic diagram of a design system of a ship ventilation system based on thermal environment simulation according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a design terminal of a ship ventilation system based on thermal environment simulation according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a design system of a ship ventilation system based on thermal environment simulation according to another embodiment of the present invention.
Detailed Description
Other advantages and effects of the present invention will become apparent to those skilled in the art from the following disclosure, which describes the embodiments of the present invention with reference to specific examples. The invention may be practiced or carried out in other embodiments that depart from the specific details, and the details of the present description may be modified or varied from the spirit and scope of the present invention.
It should be noted that, the illustrations provided in the present embodiment merely illustrate the basic concept of the present invention by way of illustration, and only the components related to the present invention are shown in the drawings and are not drawn according to the number, shape and size of the components in actual implementation, and the form, number and proportion of the components in actual implementation may be arbitrarily changed, and the layout of the components may be more complex.
According to the method, the system, the medium and the terminal for designing the ship ventilation system based on the thermal environment simulation, disclosed by the invention, the automatic generation of the optimal design scheme of the ship ventilation system is realized by adopting a computer-aided engineering and an optimization algorithm through a ventilation system database based on the existing ship cabin model and ventilation equipment parameters, so that the capability requirements on designers are reduced, the digitalization degree of ship design is improved, and the method is very practical.
As shown in fig. 1, in an embodiment, the method for designing a ship ventilation system based on thermal environment simulation according to the present invention includes the following steps:
and S1, acquiring a cabin three-dimensional model of the ship, a ventilation system optimization target and a ventilation basic design constraint.
Specifically, the user selects a cabin three-dimensional model of the ship, a ventilation system optimization target and a ventilation basic design constraint based on the client, and sends the selection result to the ship ventilation system design terminal based on the thermal environment simulation.
In one embodiment of the invention, the three-dimensional model of the cabin comprises cabin type information including one or more of a combination of accommodation, a cargo compartment, a cabin, a working compartment, a viewing room, and a recreational cabin.
The ventilation system optimization objectives include an allowable range of temperature and wind speed for a designated area within the cabin.
The ventilation basic design constraint comprises one or more of an air pipe arrangement rule, a ventilation opening arrangement rule and a fan selection rule; the air duct arrangement rules comprise one or more of an air duct height range, an air duct width range and an air duct length range; the vent arrangement rules comprise one or more of a vent number range, a vent height range, a vent orientation, and a vent shape; the fan selection rule comprises a fan air volume range.
And S2, acquiring ventilation equipment parameters by a ventilation system knowledge base.
In particular, the ventilation system knowledge base of the present invention includes a ventilation system database, a ventilation system rules library, and a ventilation system policy library.
The ventilation system database includes model data and ventilation device parameters; the model data comprise heat transmitted by the bulkhead, heat conduction coefficient of the bulkhead and heating value of equipment in the bulkhead; the ventilation equipment parameters comprise one or more of lamp type, illuminance curve, color temperature, installation mode, working voltage air pipe dimension specification, ventilation opening type and dimension thereof, fan ventilation amount and performance curve. Thus, the required ventilation parameters can be obtained based on the ventilation system knowledge base.
The ventilation system rule base comprises a ventilation system optimization target and a ventilation basic design constraint; the ventilation system optimization targets comprise an allowable range of temperature and wind speed of a designated area in the cabin; the ventilation basic design constraint comprises one or more of an air pipe arrangement rule, a ventilation opening arrangement rule and a fan selection rule.
And S3, extracting characteristic quantities of the cabin three-dimensional model, and acquiring a matched calculation model construction strategy from the ventilation system knowledge base based on the characteristic quantities.
Specifically, the ventilation system policy library comprises a calculation model construction policy, a scheme design policy and a scheme optimization policy; the computational model construction strategy, the solution design strategy, and the solution optimization strategy are generated based on a machine learning algorithm. And performing iterative machine learning according to the acquired characteristic quantity of the cabin three-dimensional model and the cabin thermal environment, so as to obtain the calculation model construction strategy, the scheme design strategy and the scheme optimization strategy, and storing the calculation model construction strategy, the scheme design strategy and the scheme optimization strategy into the ventilation system strategy library, thereby improving the design efficiency and the design precision. Therefore, according to the characteristic quantity of the cabin three-dimensional model, a matched calculation model construction strategy can be obtained from the ventilation system knowledge base.
In an embodiment of the present invention, the characteristic parameters of the cabin three-dimensional model include one or more of cabin model size, cabin equipment heating value, and cabin wall heat transfer value; the calculation model construction strategy comprises one or more of a model geometric simplification method, a thermal load loading method and a boundary condition setting method.
And S4, constructing a cabin thermal environment calculation model based on the calculation model construction strategy.
Specifically, automatic geometric simplification is required for constructing a cabin thermal environment calculation model. The control equation for solving the heat and flow related problems is calculated by the discrete numerical technology based on the finite volume method, namely, a hexahedral grid is adopted to discrete square items, and the boundary surface of the grid unit is perpendicular to the coordinate axis of the Cartesian global coordinate system. When the grids are divided, self-adaptive grid division is performed according to the geometric model. When there is less space in the model, the grid density increases significantly, which in turn has less impact on the model calculation results. For computational efficiency, an automatic geometric simplification of the cabin thermal environment calculation model is performed. The model is partially hollowed out or supplemented into a regular geometric body, so that the number of grids is reduced, and the calculation efficiency is improved.
And S5, acquiring a matched scheme design strategy from the ventilation system knowledge base according to the cabin thermal environment calculation model, the ventilation system optimization target and the ventilation basic design constraint.
And S6, generating a design scheme of the ship ventilation system based on the scheme design strategy.
In an embodiment of the present invention, the design scheme includes one or more of ventilation equipment air supply volume design, refrigeration volume design, ventilation duct size design, ventilation opening position design, air supply angle design, and air supply opening type design.
Preferably, the cabin thermal environment calculation basis is based on the law of conservation of energy, namely cabin heating value=cabin ventilation refrigerating capacity, so that the cabin heating value can be counted according to a thermal environment calculation model, and the refrigerating capacity of the ventilation system can be determined.
And S7, acquiring a thermal environment calculation boundary condition.
Specifically, the ship ventilation system design terminal based on thermal environment simulation automatically sets thermal environment calculation boundary conditions. I.e. the thermal environment calculation boundary conditions are predefined by the system.
Step S8, calculating the cabin thermal environment of the design scheme based on the thermal environment calculation boundary conditions and the ventilation equipment parameters; comparing the calculation result of the cabin thermal environment with the ventilation system optimization target, if the calculation result accords with the ventilation system optimization target, establishing a ship ventilation system design scheme model and providing the calculation result; otherwise, according to the design scheme, the ventilation system optimization target and the calculation result, selecting a scheme optimization strategy from the ventilation system knowledge base and optimizing the design scheme until the calculation result of the cabin thermal environment of the optimized design scheme meets the ventilation system optimization target.
Specifically, when the calculation result does not meet the ventilation system optimization target, returning to the step S7 again for processing, obtaining the calculation result of the cabin thermal environment of the optimized design scheme, and comparing with the ventilation system optimization target. And carrying out loop iteration until the calculation result of the cabin thermal environment of the optimized design scheme meets the ventilation system optimization target, thereby establishing a ship ventilation system design scheme model and providing the calculation result.
In an embodiment of the present invention, the optimization conditions in the optimization strategy include one or more of ventilation equipment air supply quantity, refrigeration capacity, ventilation duct size, ventilation opening position, air supply angle, and air supply opening type; the optimization algorithm adopted for optimizing the design scheme adopts a random optimization method, a genetic algorithm, an ant colony algorithm or an example algorithm.
As shown in fig. 2, in an embodiment, the design system of the ship ventilation system based on thermal environment simulation of the present invention includes a first acquisition module 21, a second acquisition module 22, an extraction module 23, a construction module 24, a third acquisition module 25, a generation module 26, a fourth acquisition module 27, and a calculation comparison module 28.
The first acquisition module 21 is used for acquiring a cabin three-dimensional model of the ship, a ventilation system optimization objective and a ventilation basic design constraint.
The second obtaining module 22 is configured to obtain ventilation device parameters based on a ventilation system knowledge base.
The extracting module 23 is connected to the first obtaining module 21, and is configured to extract a feature quantity of the cabin three-dimensional model, and obtain a matched calculation model construction policy in the ventilation system knowledge base based on the feature quantity.
The construction module 24 is connected to the extraction module 23 for constructing a cabin thermal environment calculation model based on the calculation model construction strategy.
The third obtaining module 25 is connected to the constructing module 24 and is configured to obtain a matched solution design strategy from the ventilation system knowledge base according to the cabin thermal environment calculation model, the ventilation system optimization objective and the ventilation basic design constraint.
The generating module 26 is connected to the third obtaining module 25, and is configured to generate a design scheme of the ship ventilation system based on the scheme design strategy.
The fourth obtaining module 27 is configured to obtain a thermal environment computing boundary condition.
The calculation comparison module 28 is connected to the second acquisition module 22, the generation module 26 and the fourth acquisition module 27, and is configured to calculate a cabin thermal environment of the design scheme based on the thermal environment calculation boundary condition and the ventilation device parameter; comparing the calculation result of the cabin thermal environment with the ventilation system optimization target, if the calculation result accords with the ventilation system optimization target, establishing a ship ventilation system design scheme model and providing the calculation result; otherwise, according to the design scheme, the ventilation system optimization target and the calculation result, selecting a scheme optimization strategy from the ventilation system knowledge base and optimizing the design scheme until the calculation result of the cabin thermal environment of the optimized design scheme meets the ventilation system optimization target.
The structures and principles of the first obtaining module 21, the second obtaining module 22, the extracting module 23, the constructing module 24, the third obtaining module 25, the generating module 26, the fourth obtaining module 27, and the circulation comparing module 28 are in one-to-one correspondence with the steps in the above-mentioned ship ventilation system design method based on thermal environment simulation, so that the description thereof will not be repeated here.
It should be noted that, it should be understood that the division of the modules of the above apparatus is merely a division of a logic function, and may be fully or partially integrated into a physical entity or may be physically separated. And these modules may all be implemented in software in the form of calls by the processing element; or can be realized in hardware; the method can also be realized in a form of calling software by a processing element, and the method can be realized in a form of hardware by a part of modules. For example, the x module may be a processing element that is set up separately, may be implemented in a chip of the apparatus, or may be stored in a memory of the apparatus in the form of program code, and the function of the x module may be called and executed by a processing element of the apparatus. The implementation of the other modules is similar. In addition, all or part of the modules can be integrated together or can be independently implemented. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in a software form.
For example, the modules above may be one or more integrated circuits configured to implement the methods above, such as: one or more application specific integrated circuits (Application Specific Integrated Circuit, abbreviated as ASIC), or one or more microprocessors (Digital Singnal Processor, abbreviated as DSP), or one or more field programmable gate arrays (Field Programmable Gate Array, abbreviated as FPGA), or the like. For another example, when a module above is implemented in the form of a processing element scheduler code, the processing element may be a general-purpose processor, such as a central processing unit (Central Processing Unit, CPU) or other processor that may invoke the program code. For another example, the modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).
The storage medium of the present invention stores a computer program which, when executed by a processor, implements the above-described method for designing a ship ventilation system based on thermal environment simulation. The storage medium includes: various media capable of storing program codes, such as ROM, RAM, magnetic disk, U-disk, memory card, or optical disk.
As shown in fig. 3, in an embodiment, the ship ventilation system design terminal based on thermal environment simulation of the present invention includes: a processor 31 and a memory 32.
The memory 32 is used for storing a computer program.
The memory 32 includes: various media capable of storing program codes, such as ROM, RAM, magnetic disk, U-disk, memory card, or optical disk.
The processor 31 is connected to the memory 32, and is configured to execute a computer program stored in the memory 32, so that the thermal environment simulation-based ship ventilation system design terminal performs the above-mentioned thermal environment simulation-based ship ventilation system design method.
Preferably, the processor 31 may be a general-purpose processor, including a central processing unit (Central Processing Unit, abbreviated as CPU), a network processor (Network Processor, abbreviated as NP), etc.; but also digital signal processors (Digital Signal Processor, DSP for short), application specific integrated circuits (Application Specific Integrated Circuit, ASIC for short), field programmable gate arrays (Field Programmable Gate Array, FPGA for short) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.
As shown in fig. 4, the thermal environment simulation-based ship ventilation system design system of the present invention includes the above-described thermal environment simulation-based ship ventilation system design terminal 41, the user terminal 42, and the ventilation system knowledge base 43.
The user terminal 42 is connected to the thermal environment simulation-based ship ventilation system design terminal 41, and is configured to select a cabin three-dimensional model, a ventilation system optimization target and a ventilation basic design constraint, and send the selected cabin three-dimensional model, the ventilation system optimization target and the ventilation basic design constraint to the thermal environment simulation-based ship ventilation system design terminal 41. Specifically, the client 41 has a selection function and a viewing function, so as to assist the ship ventilation system design terminal 41 based on thermal environment simulation to realize system design and result query.
The ventilation system knowledge base 43 is connected to the thermal environment simulation based ship ventilation system design terminal 41, and is configured to provide ventilation device parameters, a calculation model construction strategy, a scheme design strategy and a scheme optimization strategy for the thermal environment simulation based ship ventilation system design terminal 51.
In summary, the design method, the system, the medium and the terminal of the ship ventilation system based on the thermal environment simulation can quickly solve and optimize the design scheme of the ship ventilation system based on the existing ship cabin model and the equipment parameters by using a computer aided engineering and an optimization algorithm; the accuracy of the design scheme is effectively improved, the labor participation links are reduced, and the working hours are saved; and analyzing the characteristic quantity and the result of the design history data in the ship ventilation system through a machine learning algorithm to form a corresponding ventilation system design strategy, and storing the strategy in a strategy library, so that the capability requirement on designers is reduced, and the digitization degree of the ship design is improved. Therefore, the invention effectively overcomes various defects in the prior art and has high industrial utilization value.
The above embodiments are merely illustrative of the principles of the present invention and its effectiveness, and are not intended to limit the invention. Modifications and variations may be made to the above-described embodiments by those skilled in the art without departing from the spirit and scope of the invention. Accordingly, it is intended that all equivalent modifications and variations of the invention be covered by the claims, which are within the ordinary skill of the art, be within the spirit and scope of the present disclosure.

Claims (8)

1. A design method of a ship ventilation system based on thermal environment simulation is characterized by comprising the following steps of: the method comprises the following steps:
acquiring a cabin three-dimensional model of a ship, a ventilation system optimization target and a ventilation basic design constraint;
acquiring ventilation equipment parameters based on a ventilation system knowledge base;
extracting characteristic quantity of the cabin three-dimensional model, and acquiring a matched calculation model construction strategy from the ventilation system knowledge base based on the characteristic quantity;
constructing a cabin thermal environment calculation model based on the calculation model construction strategy;
obtaining a matched scheme design strategy from the ventilation system knowledge base according to the cabin thermal environment calculation model, the ventilation system optimization target and the ventilation basic design constraint;
generating a design scheme of the ship ventilation system based on the scheme design strategy;
acquiring a thermal environment computing boundary condition;
calculating a cabin thermal environment of the design based on the thermal environment calculation boundary conditions and the ventilation device parameters; comparing the calculation result of the cabin thermal environment with the ventilation system optimization target, if the calculation result accords with the ventilation system optimization target, establishing a ship ventilation system design scheme model and providing the calculation result; otherwise, according to the design scheme, the ventilation system optimization target and the calculation result, selecting a scheme optimization strategy from the ventilation system knowledge base and optimizing the design scheme until the calculation result of the cabin thermal environment of the optimized design scheme meets the ventilation system optimization target;
the ventilation system optimization targets comprise an allowable range of temperature and wind speed of a designated area in the cabin; the ventilation basic design constraint comprises one or more of an air pipe arrangement rule, a ventilation opening arrangement rule and a fan selection rule; the air duct arrangement rules comprise one or more of an air duct height range, an air duct width range and an air duct length range; the vent arrangement rules comprise one or more of a vent number range, a vent height range, a vent orientation, and a vent shape; the fan selection rule comprises a fan air volume range;
the characteristic quantity of the cabin three-dimensional model comprises one or more of cabin model size, cabin equipment heating value and cabin wall heat transfer quantity; the calculation model construction strategy comprises one or more of a model geometric simplification method, a thermal load loading method and a boundary condition setting method.
2. The method for designing a ship ventilation system based on thermal environment simulation according to claim 1, wherein: the design scheme comprises one or more of ventilation equipment air supply quantity design, refrigerating capacity design, ventilation pipeline size design, ventilation opening position design, air supply angle design and air supply opening type design.
3. The method for designing a ship ventilation system based on thermal environment simulation according to claim 1, wherein: the optimization conditions in the optimization strategy comprise one or more of ventilation equipment air supply quantity, refrigerating capacity, ventilation pipeline size, ventilation opening position, air supply angle and air supply opening type; the optimization algorithm adopted for optimizing the design scheme adopts a random optimization method, a genetic algorithm, an ant colony algorithm or an example algorithm.
4. A ship ventilation system design system based on thermal environment simulation is characterized in that: the device comprises a first acquisition module, a second acquisition module, an extraction module, a construction module, a third acquisition module, a generation module, a fourth acquisition module and a calculation comparison module;
the first acquisition module is used for acquiring a cabin three-dimensional model of the ship, a ventilation system optimization target and a ventilation basic design constraint;
the second acquisition module is used for acquiring ventilation equipment parameters based on a ventilation system knowledge base;
the extraction module is used for extracting the characteristic quantity of the cabin three-dimensional model, and acquiring a matched calculation model construction strategy from the ventilation system knowledge base based on the characteristic quantity;
the construction module is used for constructing a cabin thermal environment calculation model based on the calculation model construction strategy;
the third obtaining module is used for obtaining a matched scheme design strategy from the ventilation system knowledge base according to the cabin thermal environment calculation model, the ventilation system optimization target and the ventilation basic design constraint;
the generating module is used for generating a design scheme of the ship ventilation system based on the scheme design strategy;
the fourth acquisition module is used for acquiring a thermal environment calculation boundary condition;
the calculation comparison module is used for calculating the cabin thermal environment of the design scheme based on the thermal environment calculation boundary conditions and the ventilation equipment parameters; comparing the calculation result of the cabin thermal environment with the ventilation system optimization target, if the calculation result accords with the ventilation system optimization target, establishing a ship ventilation system design scheme model and providing the calculation result; otherwise, according to the design scheme, the ventilation system optimization target and the calculation result, selecting a scheme optimization strategy from the ventilation system knowledge base and optimizing the design scheme until the calculation result of the cabin thermal environment of the optimized design scheme meets the ventilation system optimization target;
the ventilation system optimization targets comprise an allowable range of temperature and wind speed of a designated area in the cabin; the ventilation basic design constraint comprises one or more of an air pipe arrangement rule, a ventilation opening arrangement rule and a fan selection rule; the air duct arrangement rules comprise one or more of an air duct height range, an air duct width range and an air duct length range; the vent arrangement rules comprise one or more of a vent number range, a vent height range, a vent orientation, and a vent shape; the fan selection rule comprises a fan air volume range;
the characteristic quantity of the cabin three-dimensional model comprises one or more of cabin model size, cabin equipment heating value and cabin wall heat transfer quantity; the calculation model construction strategy comprises one or more of a model geometric simplification method, a thermal load loading method and a boundary condition setting method.
5. A storage medium having stored thereon a computer program, which when executed by a processor, implements the thermal environment simulation based ship ventilation system design method of any one of claims 1 to 3.
6. A thermal environment simulation-based ship ventilation system design terminal, comprising: a processor and a memory;
the memory is used for storing a computer program;
the processor is configured to execute the computer program stored in the memory to cause the thermal environment simulation-based ship ventilation system design terminal to execute the thermal environment simulation-based ship ventilation system design method of any one of claims 1 to 3.
7. A ship ventilation system design system based on thermal environment simulation is characterized in that: a ship ventilation system design terminal, a user side and a ventilation system knowledge base based on thermal environment simulation according to claim 6;
the user side is used for selecting a cabin three-dimensional model, a ventilation system optimization target and a ventilation basic design constraint and transmitting the cabin three-dimensional model, the ventilation system optimization target and the ventilation basic design constraint to the ship ventilation system design terminal based on the thermal environment simulation;
the ventilation system knowledge base is used for providing ventilation equipment parameters, a calculation model construction strategy, a scheme design strategy and a scheme optimization strategy for the ship ventilation system design terminal based on the thermal environment simulation.
8. The thermal environment simulation-based marine ventilation system design system of claim 7, wherein: the ventilation system knowledge base comprises a ventilation system database, a ventilation system rule base and a ventilation system strategy base;
the ventilation system database includes model data and ventilation device parameters; the model data comprise heat transmitted by the bulkhead, heat conduction coefficient of the bulkhead and heating value of equipment in the bulkhead; the ventilation equipment parameters comprise one or more of lamp type, illuminance curve, color temperature, installation mode, working voltage air pipe size specification, ventilation opening type and size, fan ventilation amount and performance curve;
the ventilation system rule base comprises a ventilation system optimization target and a ventilation basic design constraint; the ventilation system optimization targets comprise an allowable range of temperature and wind speed of a designated area in the cabin; the ventilation basic design constraint comprises one or more of an air pipe arrangement rule, a ventilation opening arrangement rule and a fan selection rule;
the ventilation system policy library comprises a calculation model construction policy, a scheme design policy and a scheme optimization policy; the computational model construction strategy, the solution design strategy, and the solution optimization strategy are generated based on a machine learning algorithm.
CN202111037269.3A 2021-09-06 2021-09-06 Ship ventilation system design method, system, medium and terminal based on thermal environment simulation Active CN113673039B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111037269.3A CN113673039B (en) 2021-09-06 2021-09-06 Ship ventilation system design method, system, medium and terminal based on thermal environment simulation

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111037269.3A CN113673039B (en) 2021-09-06 2021-09-06 Ship ventilation system design method, system, medium and terminal based on thermal environment simulation

Publications (2)

Publication Number Publication Date
CN113673039A CN113673039A (en) 2021-11-19
CN113673039B true CN113673039B (en) 2023-12-12

Family

ID=78548603

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111037269.3A Active CN113673039B (en) 2021-09-06 2021-09-06 Ship ventilation system design method, system, medium and terminal based on thermal environment simulation

Country Status (1)

Country Link
CN (1) CN113673039B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117450637B (en) * 2023-12-25 2024-03-19 中国海洋大学 Layered optimization control method for ocean platform ventilation system

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017216687A1 (en) * 2016-06-16 2017-12-21 Tata Consultancy Services Limited System and method for thermo-fluid management of conditioned space
WO2019136756A1 (en) * 2018-01-15 2019-07-18 深圳鲲云信息科技有限公司 Design model establishing method and system for artificial intelligent processing device, storage medium, and terminal
CN111291465A (en) * 2020-01-10 2020-06-16 上海海事大学 Ship air conditioner thermal comfort temperature prediction method based on genetic algorithm and neural network
CN112560345A (en) * 2020-12-16 2021-03-26 中国电建集团河北省电力勘测设计研究院有限公司 Design method of underground electric power space ventilation system
CN112861267A (en) * 2021-03-08 2021-05-28 江南造船(集团)有限责任公司 Ship MBD information reuse method, system, medium and terminal
CN113094968A (en) * 2021-04-28 2021-07-09 哈尔滨工程大学 Method for optimizing multi-unit operation cost of ship power system
CN113212689A (en) * 2021-05-28 2021-08-06 江南造船(集团)有限责任公司 Penetration piece arrangement method, system, medium and equipment based on ship fire protection design

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102212663B1 (en) * 2018-05-22 2021-02-05 주식회사 석영시스템즈 An apparatus for hvac system input power control based on target temperature and method thereof

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017216687A1 (en) * 2016-06-16 2017-12-21 Tata Consultancy Services Limited System and method for thermo-fluid management of conditioned space
WO2019136756A1 (en) * 2018-01-15 2019-07-18 深圳鲲云信息科技有限公司 Design model establishing method and system for artificial intelligent processing device, storage medium, and terminal
CN111291465A (en) * 2020-01-10 2020-06-16 上海海事大学 Ship air conditioner thermal comfort temperature prediction method based on genetic algorithm and neural network
CN112560345A (en) * 2020-12-16 2021-03-26 中国电建集团河北省电力勘测设计研究院有限公司 Design method of underground electric power space ventilation system
CN112861267A (en) * 2021-03-08 2021-05-28 江南造船(集团)有限责任公司 Ship MBD information reuse method, system, medium and terminal
CN113094968A (en) * 2021-04-28 2021-07-09 哈尔滨工程大学 Method for optimizing multi-unit operation cost of ship power system
CN113212689A (en) * 2021-05-28 2021-08-06 江南造船(集团)有限责任公司 Penetration piece arrangement method, system, medium and equipment based on ship fire protection design

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
基于CFD模拟的船舶空调舱室热舒适性研究;柴婷;毛佳炜;陆懿东;;船舶与海洋工程;第31卷(第2期);第37-42页 *
船舶机舱通风系统的设计及分析;季禹;顾益民;;南通航运职业技术学院学报;第37卷(第2期);第136-138页 *

Also Published As

Publication number Publication date
CN113673039A (en) 2021-11-19

Similar Documents

Publication Publication Date Title
CN112784361B (en) Method for optimizing structure of automobile engine compartment heat dissipation system based on proxy model
US10684598B1 (en) Building management system with efficient model generation for system identification
JP7254819B2 (en) How to optimize fan efficiency and/or operating performance or fan placement
CN113673039B (en) Ship ventilation system design method, system, medium and terminal based on thermal environment simulation
CN113704893B (en) Ship lighting system design method, system, medium and terminal based on light environment simulation
CN115755954B (en) Routing inspection path planning method, system, computer equipment and storage medium
CN114047770A (en) Mobile robot path planning method for multi-inner-center search and improvement of wolf algorithm
CN105528243A (en) A priority packet scheduling method and system utilizing data topological information
CN114036787A (en) Satellite component thermal layout temperature field prediction based on physical prior self-supervision learning
CN113673042B (en) Ship noise reduction system design method, system, medium and terminal based on acoustic environment simulation
Wan et al. Intelligent rack-level cooling management in data centers with active ventilation tiles: A deep reinforcement learning approach
CN107480096B (en) High-speed parallel computing method in large-scale group simulation
CN111290360B (en) Multi-objective optimization method for casting production line
CN114119882B (en) Efficient nested grid host unit searching method in aircraft dynamic flow field analysis
CN115270363B (en) Centrifugal compressor blade optimization design method and device based on multi-agent model
Benyahia et al. Design for multi-material 4D printing: Development of an algorithm for interlocking blocks assembly generation
CN111783337B (en) Super-parameter optimization method of satellite thermal distribution proxy model
CN112949154A (en) Parallel asynchronous particle swarm optimization method and system and electronic equipment
CN111310906B (en) Method, device and equipment for layout of computing cores in neuromorphic chip
CN107529638B (en) Accelerated method, storage database and the GPU system of linear solution device
CN117932770A (en) Vehicle cooling pipeline design method and system
CN113987970A (en) Engine cooling system analysis method, readable storage medium, and analysis apparatus
Boonstra et al. Co-evolutionary design processes applied to building spatial design optimization
Held et al. A Generalized Multiobjective Metamodel-Based Online Optimization Method for Engine Development
CN114415679A (en) Ship engine room pipeline arrangement method based on improved ant colony algorithm

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant