CN117454518A - Intelligent application-oriented ship overall performance forecasting application program construction method - Google Patents
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Abstract
The application discloses a ship overall performance forecasting application program construction method for intelligent application, which relates to the technical field of ships, and adopts the ideas of attribute subdivision and knowledge encapsulation, forms a basic solver for three general subject performances of ship hydrodynamic performance, structural safety performance, comprehensive stealth performance based on methods such as a physical mathematical model, numerical simulation, data mining analysis and the like, then carries out further subject subdivision according to specific business application scenes, utilizes benchmark test data to develop numerical calculation strategy research so as to obtain optimal combination under the specific business application scenes, and adopts a knowledge encapsulation forming module to construct an application program, so that a module directly calling encapsulation can realize special forecasting of specific ship overall performance professional attribute parameters aiming at specific objects, and a modularized encapsulation calling mode ensures the uniformity of calculation results, thereby laying a foundation for knowledge conversion and reuse degree improvement in the ship overall performance forecasting field.
Description
Technical Field
The application relates to the technical field of ships, in particular to a ship overall performance forecasting application program construction method for intelligent application.
Background
The overall performance of the ship generally refers to the performance which has decisive effect on the overall index of the ship, and mainly comprises stability, rapidity, endurance, navigability, maneuverability, non-sinking, structure, comprehensive stealth and the like. At present, the forecasting of the overall performance of the ship is mainly performed by commercial software and self-research software/programs, the software is basically general software and professional software, the use threshold is high, operators are often required to have certain professional knowledge, the forecasting result of the overall performance of the ship obtained by using the software is often influenced by personal experience and subjective factors of the operators, for example, when the performance forecasting of the ship wave resistance increase and the motion response is required, some operators can use a zero equation turbulence model of a RANS solver to forecast, some operators can use a four-way turbulence model of the RANS solver to forecast, the difference among forecasting results is caused, and the difference among the forecasting results is more obvious due to the fact that different operators are configured for the turbulence model parameters. The problem is that the forecasting result of the overall performance of the ship is often influenced by human factors, and the reliability of the forecasting result is difficult to ensure.
Disclosure of Invention
Aiming at the problems and the technical requirements, the application provides a ship overall performance forecasting application program building method for intelligent application, and the technical scheme of the application is as follows:
the ship overall performance forecasting application program construction method for intelligent application is characterized by comprising the following steps of:
determining service parameters of a service application scene, wherein the service parameters comprise the type of a ship to which the ship to be subjected to performance forecasting belongs and the overall performance professional attribute parameter of the ship to be subjected to performance forecasting;
determining a basic solver of a ship overall performance discipline to which a ship overall performance professional attribute parameter of a service application scene belongs, wherein the ship overall performance discipline comprises a hydrodynamic performance discipline, a structural safety performance discipline and a comprehensive stealth performance discipline, the basic solver of each ship overall performance discipline comprises a plurality of different solving models, a plurality of different data discrete formats and a plurality of different analysis solving methods, and each solving model in the basic solver of each ship overall performance discipline is a physical mathematical model or a numerical simulation method;
based on the reference verification data corresponding to the service application scene, selecting a solution model, a data discrete format, an analysis solution method and a combination package of model basic parameters from a basic solver corresponding to the ship overall performance professional attribute parameters of the service application scene to form a performance forecast solution module by taking the principle that the calculation result deviation of the ship overall performance professional attribute parameters is minimum; the reference verification data comprise standard model test data of a standard ship model under different wave environment parameters;
and constructing a ship overall performance forecasting application program aiming at the service application scene based on the performance forecasting solving module formed by encapsulation, wherein the ship overall performance forecasting application program is used for forecasting the ship overall performance in the service application scene.
The method for constructing the ship overall performance forecasting application program further comprises the following steps:
and carrying out parameter correction on model basic parameters in the performance prediction solving module obtained based on the reference calibration data by utilizing multi-subsampled model test data of ship models corresponding to the same ship type but different ship parameters under different wave environment parameters, and packaging to form the performance prediction solving module.
The method for constructing the ship overall performance forecasting application program further comprises the following steps:
determining a confidence interval of a performance forecast solving module formed by final packaging by utilizing multi-subsampled model test data of ship models corresponding to the same ship type but different ship parameters under different wave environment parameters; the calculation result of the ship overall performance professional attribute parameter obtained by the performance prediction solving module and the corresponding confidence interval.
The further technical scheme is that the ship overall performance forecasting application program for the service application scene is constructed based on a performance forecasting solving module formed by encapsulation, and the method comprises the following steps:
the method comprises the steps of sequentially connecting input and output of a ship geometric standardization processing module corresponding to a ship type of a service application scene, a ship numerical calculation grid generating module corresponding to a ship overall performance professional attribute parameter of the service application scene and a performance prediction solving module formed by encapsulation, and constructing a ship overall performance prediction application program aiming at the service application scene, wherein the ship overall performance prediction application program is used for carrying out ship overall performance prediction according to input target ship parameters and target wave environment parameters in the service application scene;
the hull geometric standardization processing module is used for processing the input target hull parameters into hull standard geometric surface parameters; the hull numerical calculation grid generation module is used for processing the hull standard geometric surface parameters obtained by the hull geometric standardization processing module into numerical calculation body grids; the performance forecast solving module is used for calculating the body grid and the target wave environment parameters based on the numerical value obtained by the ship body numerical value calculation grid generating module to obtain the calculation result of the ship overall performance professional attribute parameters.
The method for constructing the ship overall performance forecasting application program further comprises the following steps:
packaging the data extraction and identification unit, the coordinate conversion unit, the normalization unit and the characteristic line definition unit corresponding to the ship type together to form a ship body geometric standardization processing module corresponding to the ship type;
the data extraction and identification unit is used for extracting the characteristics of the input target hull parameters according to the characteristic extraction method corresponding to the type of the ship to obtain the key characteristics of the hull, wherein the key characteristics of the hull comprise the geometric dimension of the hull, the bow direction, the ship side direction and the surface normal direction;
the coordinate conversion unit is used for carrying out coordinate conversion on the geometric dimension of the ship body extracted by the data extraction and identification unit according to a coordinate conversion method corresponding to the ship type, the normalization unit is used for carrying out normalization processing on the geometric dimension of the ship body after the coordinate conversion by taking the ship length as a characteristic quantity, and the characteristic line definition unit is used for carrying out characteristic line definition on the geometric dimension of the ship body after the normalization processing according to a characteristic line definition method corresponding to the ship type, so as to obtain the standard geometric surface parameters of the ship body.
The method for constructing the ship overall performance forecasting application program further comprises the following steps:
and encapsulating the grid division method corresponding to the ship overall performance professional attribute parameter of the service application scene to form a ship body numerical calculation grid generation module corresponding to the ship overall performance professional attribute parameter.
The further technical scheme is that the overall performance forecasting application program of the ship for the service application scene further comprises a result post-processing module corresponding to the overall performance professional attribute parameter of the ship for the service application scene, wherein the input of the result post-processing module is connected with the output of the performance forecasting solving module;
the result post-processing module is used for processing the calculation result of the ship overall performance professional attribute parameter obtained by the performance prediction solving module into a ship overall performance prediction summarization report.
The method for constructing the ship overall performance forecasting application program further comprises the following steps:
packaging the data post-processing operation corresponding to the ship overall performance professional attribute parameters of the service application scene to form a result post-processing module; the data post-processing operation comprises at least one of data format conversion, generation of a statistical chart, generation of a waveform curve and image rendering of a calculation result of the overall performance professional attribute parameter of the ship.
The hydrodynamic performance discipline comprises four professional layers which are respectively water surface ship rapidity, water surface ship maneuvering performance, water surface ship wave resistance and water surface ship dynamic stability; the rapidity of the water surface ship comprises three attribute layers which are respectively classified into resistance performance, propulsion performance and power performance and flow field characteristics; the water surface ship operability comprises three attribute layer classifications, namely an operating hydrodynamic coefficient, an operating motion performance and an in-wave operating performance; the wave resistance of the water surface ship comprises two attribute layers which are respectively classified into motion characteristics in waves and interference motion characteristics of multiple ships; the stability of the water surface ship comprises three attribute layers which are respectively wave stability, anti-sinking property and breakage stability in waves; the attribute layer classification of each professional layer classification of the hydrodynamic performance discipline comprises a plurality of ship overall performance professional attribute parameters;
the structural safety discipline comprises two professional layers of classification of structural loads and structural strength of the water surface ship respectively; the structural load of the water surface ship comprises two attribute layers which are respectively classified into static load and dynamic load; the structural strength of the water surface ship comprises two attribute layers which are respectively classified into total strength and local strength; the attribute layer classification of each professional layer classification of the structural safety performance discipline comprises a plurality of ship overall performance professional attribute parameters;
the comprehensive stealth performance discipline comprises three professional layer classifications, namely, water surface ship mechanical system and equipment vibration noise, water surface ship propeller noise and acoustic optimization, water surface ship hydrodynamic noise calculation and low noise design; the vibration noise of the water surface ship mechanical system and the equipment comprises two attribute layer classifications, namely vibration isolation design and cabin air noise prediction of the vibration noise of the water surface ship mechanical system and the equipment respectively; the water surface ship propeller noise and acoustic optimization comprises two attribute layer classifications, namely water surface ship propeller noise and water surface ship propeller acoustic optimization; the water surface ship hydrodynamic noise calculation and low noise design comprises two attribute layer classifications, namely a water surface ship hydrodynamic noise and water surface ship hydrodynamic low noise design; the attribute layer classification of each professional layer classification of the comprehensive stealth performance discipline comprises a plurality of ship overall performance professional attribute parameters.
The ship overall performance professional attribute parameters belonging to the hydrodynamic performance discipline comprise hydrostatic resistance performance, wind resistance performance, open water performance, cavitation performance, self-propulsion factor forecast, propulsion power forecast, sailing wave making, free surface lower flow field/wake field, inclined sailing hydrodynamic derivative, rotary hydrodynamic derivative, water surface linear stability, water surface rotation performance, water surface Z-shaped maneuver performance, heading stability, maneuver performance, wave resistance additional mass and damping hydrodynamic coefficient, six-degree-of-freedom motion and acceleration response, resistance increase and stall in ship waves, upper waves and attack, propeller water outlet, multi-ship hydrodynamic interference, multi-ship sailing supply motion response, multi-ship or wharf berthing motion response, parameter rolling, pure stability loss, riding waves/cross-flighting, paralysis ship stability, capsizing, reserve buoyancy, broken ship wind resistance forecast, broken ship body motion, broken water inlet and outlet, broken ship motion and broken water inlet and outlet interaction;
the general performance professional attribute parameters of the ship belonging to the structural safety performance discipline comprise static load, wave load, slamming load, ice load, total strength of the water surface ship, local strength of the water surface ship, buckling strength of the water surface ship and fatigue strength of the water surface ship;
the ship overall performance professional attribute parameters belonging to the comprehensive stealth performance discipline comprise main power equipment and system vibration and sound transmission of a water surface ship, auxiliary system and equipment vibration and sound transmission of the water surface ship, vibration and sound transmission of a water surface ship pipeline system and equipment, vibration and sound transmission of a water surface ship propulsion system and equipment, vibration and sound transmission of a water surface ship vibration isolation system, air noise source characteristics of a water surface ship cabin, water surface ship cabin noise, cavitation performance of a water surface ship propeller, low-frequency line spectrum noise of the water surface ship propeller, non-cavitation medium-high-frequency noise of the water surface ship propeller, cavitation pulse pressure of the water surface ship propeller, cavitation noise of the water surface ship propeller, cavitation and noise control of the water surface ship hydrodynamic noise and low-noise linear optimization design of the water surface ship.
The beneficial technical effects of this application are:
the application discloses a ship overall performance forecasting application program construction method for intelligent application, which is based on methods such as a physical mathematical model, numerical simulation, data mining analysis and the like, forms a basic solver for three overall discipline performances such as ship hydrodynamic performance, structural safety performance and comprehensive stealth performance, then carries out further discipline subdivision according to specific business application scenes, utilizes benchmark test data to develop numerical calculation strategy research to obtain optimal combination under the specific business application scenes, and applies knowledge encapsulation forming modules to construct the application program, so that the encapsulated modules can be directly called to realize special forecasting of specific ship overall performance professional attribute parameters for specific objects, and a modularized encapsulation calling mode ensures that non-professional personnel can use the ship overall performance forecasting application program, and different personnel calling results are the same, so that the difference of the result 'due to human factors' is avoided, the design ideas of the attribute subdivision and knowledge encapsulation can form a performance tool which can be used and used by the non-professional, and lays a foundation for the improvement of knowledge transformation and degree of the ship overall performance forecasting field.
The method also adopts a multi-subsampled experiment method to confirm the calculation reliability of the packaged performance prediction solving module, and can correct the packaged performance prediction solving module and give out the confidence interval of the prediction result through a large amount of application verification, thereby evaluating the reliability and the reliability of the packaged performance prediction solving module.
The method is characterized in that the method comprises the steps of geometric processing, grid generation, performance forecast solving and result post-processing, and the four links are used for building the complete application program, and all the steps are called through a knowledge encapsulation forming module, so that the whole application program is built instantly through a dragging method. The application efficiency is improved by more than 90% compared with the traditional commercial software.
Drawings
FIG. 1 is a method flow diagram of a method of building a marine overall performance prediction application according to one embodiment of the present application.
FIG. 2 is a flow chart of a package forming performance forecast solving module according to one embodiment of the present application.
FIG. 3 is a schematic diagram of a ship overall performance prediction application formed by the construction of one embodiment of the present application.
Detailed Description
The following describes the embodiments of the present application further with reference to the accompanying drawings.
The application discloses a ship overall performance forecasting application program construction method for intelligent application, please refer to a flowchart shown in fig. 1, the ship overall performance forecasting application program construction method comprises the following steps:
step 1, determining service parameters of a service application scene.
The service parameters comprise the type of the ship to be subjected to performance forecasting and the overall performance professional attribute parameters of the ship to be subjected to performance forecasting.
The types of ships include large ships, medium ships, small ships and submarines, and each type may be further classified into types of ships such as surface ships, container ships, oil ships, bulk carriers, etc., according to the types, functions, etc.
The ship overall performance professional attribute parameters are divided in advance, and the application divides the ship overall performance professional attribute parameters of a plurality of types from the ship overall performance discipline. The ship overall performance disciplines comprise a hydrodynamic performance discipline, a structural safety performance discipline and a comprehensive stealth performance discipline, and then the ship overall performance discipline is divided into a plurality of ship overall performance professional attribute parameters sequentially from a professional layer, an attribute layer and a subject layer.
(1) The hydrodynamic performance disciplines include four specialized layers classified as surface vessel rapidity, surface vessel maneuvering, surface vessel heave resistance, and surface vessel roll stability, respectively.
The rapidity of the water surface ship comprises three attribute layers which are respectively classified into resistance performance, propulsion performance and power performance and flow field characteristics. The surface vessel manipulability comprises three attribute layer classifications, namely a maneuvering hydrodynamic coefficient, a maneuvering motion performance and a maneuvering performance in waves. The wave resistance of the surface vessel comprises two attribute layers which are respectively classified into motion characteristics in waves and interference motion characteristics of multiple vessels. The stability of the water surface ship comprises three attribute layers which are respectively wave stability, sinking resistance and damage stability in waves.
The attribute layer classification of each specialty layer classification of the hydrodynamic discipline comprises a plurality of ship overall performance specialty parameters, and the ship overall performance specialty parameters belonging to the hydrodynamic discipline, which are specifically divided by the data shown in the following table, comprise hydrostatic resistance performance, wind resistance performance, open water performance, cavitation performance, self-propulsion factor forecast, propulsion power forecast, sailing wave making, free subsurface flow field/companion field, oblique navigation hydrodynamic derivative, rotational hydrodynamic derivative, water surface linear stability, water surface turning performance, water surface Z-shaped maneuver performance, heading stability, maneuver performance, added mass and damping hydrodynamic coefficients of wave resistance, six degrees of freedom motion and acceleration response, resistance increase and stall in ship waves, upper waves and impact, propeller water outlet, multi-ship hydrodynamic interference, multi-ship sailing replenishment motion response, multi-ship or berthing motion response, parameter roll, loss of pure stability, riding waves/rolling, ship stability, coverage, reserve buoyancy, broken ship wind resistance forecast, broken hull motion, broken water inlet and outlet motion, broken ship interaction with broken water inlet and outlet motion.
(2) The structural safety discipline includes two specialized layers classified as surface vessel structural loads and surface vessel structural strength, respectively.
The structural load of the water surface ship comprises two attribute layers which are respectively classified into static load and dynamic load; the structural strength of the surface vessel includes two attribute layer classifications, total and local.
The attribute layer classification of each specialty layer classification of the structural safety performance discipline includes a number of overall performance specialty parameters of the vessel. The specific division of the parameters of the overall performance professional of the ship belonging to the structural safety performance discipline comprises static load, wave load, slamming load, ice load, total strength of the water surface ship, local strength of the water surface ship, buckling strength of the water surface ship and fatigue strength of the water surface ship, which are combined with the data shown in the following table.
(3) The comprehensive stealth performance discipline comprises three professional layer classifications, namely, the vibration noise of a water surface ship mechanical system and equipment, the noise and acoustic optimization of a water surface ship propeller, the calculation of hydrodynamic noise of the water surface ship and the design of low noise.
The vibration noise of the water surface ship mechanical system and the equipment comprises two attribute layer classifications, namely vibration isolation design of the vibration noise of the water surface ship mechanical system and the equipment and prediction of cabin air noise. The water surface ship propeller noise and acoustic optimization comprises two attribute layer classifications, namely water surface ship propeller noise and water surface ship propeller acoustic optimization. The water surface ship hydrodynamic noise calculation and low noise design comprises two attribute layer classifications, namely a water surface ship hydrodynamic noise and water surface ship hydrodynamic low noise design.
The attribute layer classification of each professional layer classification of the comprehensive stealth performance discipline comprises a plurality of ship overall performance professional attribute parameters. The specific division of the parameters of the overall performance professional attribute of the ship belonging to the comprehensive stealth performance discipline comprises the main power equipment and system vibration and sound transmission of the water surface ship, the auxiliary system and equipment vibration and sound transmission of the water surface ship, the pipeline system and equipment vibration and sound transmission of the water surface ship, the vibration and sound transmission of the water surface ship propulsion system and equipment vibration and sound transmission, the vibration and sound transmission of the water surface ship vibration isolation system, the noise source characteristics of the air noise source of the water surface ship, the noise of the water surface ship, the cavitation performance of the water surface ship propeller, the low-frequency line spectrum noise of the water surface ship propeller, the high-frequency noise of the non-cavitation middle-high-frequency noise of the water surface ship propeller, the cavitation pulsation pressure of the water surface ship propeller, the cavitation noise control of the water surface ship hydrodynamic noise and the low-noise line type optimization design.
And 2, determining a basic solver of the ship overall performance discipline to which the ship overall performance professional attribute parameter of the service application scene belongs.
The method comprises the steps of constructing a respective basic solver for each ship overall performance discipline in advance, wherein the basic solver comprises a basic solver for constructing a hydrodynamic performance discipline, a basic solver for constructing a structural safety performance discipline and a basic solver for synthesizing a stealth performance discipline.
The constructed basic solver of each ship overall performance discipline comprises a plurality of different solving models, a plurality of different data discrete formats and a plurality of different analysis solving methods, and each solving model in the basic solver of each ship overall performance discipline is a physical mathematical model or a numerical simulation method. The basic solver of each ship overall performance discipline is developed through computational program code to form program code, and tested and debugged to form the basic solver.
The solution model, the data discrete format and the analysis solution method contained in the basic solver of each ship overall performance discipline are determined according to the specific situation of the ship overall performance discipline, and the application cannot be summarized specifically one by one, for example, the solution model contained in the basic solver of the hydrodynamic performance discipline comprises a zero equation turbulence model, a one-side Cheng Tuanliu model, a two-equation turbulence model, a four-side Cheng Tuanliu model and a seven-equation turbulence model. The basic solver of the hydrodynamic discipline includes a data discrete format including a second order windward format and a central differential format. The analysis solving method included in the basic solver of the hydrodynamic performance discipline comprises a free surface VOF processing method, a free surface Level Set processing method and a finite difference method.
The basic solver of the ship overall performance discipline to which the ship overall performance professional attribute parameter of the service application scenario belongs can be determined according to the pre-constructed basic solver of the ship overall performance discipline, and the service application scenario can include one or more ship overall performance professional attribute parameters. For example, the business application scenario includes two ship overall performance professional attribute parameters including six-degree-of-freedom motion and acceleration response and resistance increase and stall in ship waves, and then the foundation solver of the ship overall performance subject is determined to be the foundation solver of the hydrodynamic performance subject.
And 3, based on the reference verification data corresponding to the service application scene, selecting a solution model, a data discrete format, an analysis solution method and a combination package of model basic parameters from a basic solver corresponding to the ship overall performance professional attribute parameters of the service application scene by taking the principle that the calculation result deviation of the ship overall performance professional attribute parameters is minimum as a principle, and encapsulating to form a performance forecast solution module.
The reference calibration data comprises standard model test data of a standard ship model under different wave environment parameters, and can be directly obtained from an existing database, such as DTMB5415 standard model test data.
In the conventional practice, in order to obtain the calculation result of the ship overall performance professional attribute parameter, the technician's experience is mainly relied on to select one of various solving models, select one of various data discrete formats, select one of various analysis solving methods, and set the model basic parameter according to experience. This can lead to differences in the combinations selected by different technicians, resulting in different results of the calculation, and the reliability of the results of the calculation cannot be determined.
The method and the system utilize the reference verification data to arrange, combine and calculate and verify different combinations, so that the combination of the ship overall performance professional attribute parameters which are most suitable for service application scenes is determined to be packaged to obtain the performance forecast solving module, the packaged performance forecast solving module can be directly called to obtain the calculation result of the ship overall performance professional attribute parameters, and the calculation result obtained by calling the performance forecast solving module each time is optimal and identical.
In another embodiment, after the performance prediction solving module is obtained based on the reference calibration data, taking less data samples contained in the reference calibration data into consideration, the model basic parameters in the performance prediction solving module obtained based on the reference calibration data are further subjected to parameter correction by using multi-subsampled model test data of ship models corresponding to the same ship type but different ship parameters under different wave environment parameters, and the performance prediction solving module with minimum calculation result deviation is formed by packaging, so that the applicability of the packaged performance prediction solving module in a service application scene is ensured, and reference is made to a flow chart shown in fig. 2.
In addition, the multi-subsampled model test data can be utilized to further fine tune and correct the performance prediction solving module so that the deviation of the calculated result is smaller, and the confidence interval of the calculated result can be obtained. The performance prediction solving module can obtain the corresponding confidence interval besides the calculation result of the ship overall performance professional attribute parameter, so that the reliability condition of the calculation result of the ship overall performance professional attribute parameter can be clearly evaluated. For example, the probability that the calculation result of the overall performance professional attribute parameter of the ship is within the 5% deviation range can be determined to be 98%.
And 4, constructing a ship overall performance forecasting application program aiming at the service application scene based on the performance forecasting solving module formed by encapsulation, wherein the ship overall performance forecasting application program is used for forecasting the ship overall performance in the service application scene.
In practical application, the overall performance prediction application program of the ship obtained by construction does not only include a performance prediction solving module, please refer to the schematic diagram shown in fig. 3:
and connecting the input and output of a ship body geometric standardization processing module corresponding to the ship type of the service application scene, a ship body numerical calculation grid generating module corresponding to the ship overall performance professional attribute parameter of the service application scene and a performance prediction solving module formed by encapsulation in sequence to construct a ship overall performance prediction application program aiming at the service application scene, wherein the ship overall performance prediction application program is used for carrying out ship overall performance prediction according to the input target ship parameters and the target wave environment parameters in the service application scene.
(1) The hull geometric standardization processing module is used for processing the input target hull parameters into hull standard geometric surface parameters. In the conventional practice, the processing process also depends on professional personnel to operate, and the application also encapsulates and programs the hull geometric standardization processing steps, which directly calls the hull geometric standardization processing module.
The method further comprises the step of pre-packaging the ship body geometric standardization processing module, wherein the step of pre-packaging the ship body geometric standardization processing module comprises the step of packaging the data extraction and identification unit, the coordinate conversion unit, the normalization unit and the characteristic line definition unit corresponding to the ship type together to form the ship body geometric standardization processing module corresponding to the ship type. Wherein. The data extraction and identification unit is used for extracting the characteristics of the input target hull parameters according to the characteristic extraction method corresponding to the type of the ship to obtain the key features of the hull, wherein the key features of the hull comprise the geometric dimension of the hull, the bow direction, the ship side direction and the surface normal direction. The coordinate conversion unit is used for carrying out coordinate conversion on the geometric dimension of the ship body extracted by the data extraction and identification unit according to a coordinate conversion method corresponding to the ship type. The normalization unit is used for performing normalization processing on the geometric dimension of the ship body subjected to coordinate conversion by taking the ship length as a characteristic quantity. The characteristic line definition unit is used for defining characteristic lines of the normalized geometric dimensions of the ship body according to a characteristic line definition method corresponding to the ship type to obtain the parameters of the standard geometric surface of the ship body, please refer to fig. 3.
(2) The hull numerical calculation grid generation module is used for processing the hull standard geometric surface parameters obtained by the hull geometric standardization processing module into numerical calculation body grids.
Similarly, the grid division method which depends on experience of professionals in the traditional method is packaged to form the ship numerical calculation grid generation module, and grid division can be completed by directly calling the ship numerical calculation grid generation module, so that convenience in implementation is realized, and consistency of the grid division method is guaranteed.
The method also comprises the step of pre-packaging the ship body numerical calculation grid generation module, namely packaging the grid division method corresponding to the ship overall performance professional attribute parameter of the service application scene to form the ship body numerical calculation grid generation module corresponding to the ship overall performance professional attribute parameter. The meshing method indicates the calculated domain size, the number and the size of the surface meshes of the ship body, the thickness of the boundary layer, the mesh encryption strategy, and the number and the size of the body meshes.
(3) The performance forecast solving module is used for calculating the body grid and the target wave environment parameters based on the numerical value obtained by the ship body numerical value calculation grid generating module to obtain the calculation result of the ship overall performance professional attribute parameters.
In addition, the constructed ship overall performance forecasting application program for the service application scene further comprises a result post-processing module corresponding to the ship overall performance professional attribute parameter of the service application scene, and the input of the result post-processing module is connected with the output of the performance forecasting solving module. The result post-processing module is used for processing the calculation result of the ship overall performance professional attribute parameter obtained by the performance prediction solving module into a ship overall performance prediction summarization report.
After the calculation result of the ship overall performance professional attribute parameter is obtained, the result cannot be directly output, and a professional is required to further perform data integration processing, write a summary report, and the whole process is complex and time-consuming. The method packages the result post-processing operation to form a result post-processing module, and automatically generates a ship overall performance forecast summary report. The method further comprises the step of pre-packaging the data post-processing operation corresponding to the ship overall performance professional attribute parameters of the service application scene to form a result post-processing module. The data post-processing operation comprises at least one of data format conversion, generation of a statistical chart, generation of a waveform curve and image rendering of a calculation result of the overall performance professional attribute parameter of the ship. Generating a waveform curve such as a motion gesture calendar curve, a resistance calendar curve, image rendering such as a free liquid level rendering map, a surface pressure rendering cloud map, and the like.
What has been described above is only a preferred embodiment of the present application, which is not limited to the above examples. It is to be understood that other modifications and variations which may be directly derived or contemplated by those skilled in the art without departing from the spirit and concepts of the present application are to be considered as being included within the scope of the present application.
Claims (10)
1. The ship overall performance forecasting application program construction method for intelligent application is characterized by comprising the following steps of:
determining service parameters of a service application scene, wherein the service parameters comprise the type of a ship to which the ship to be subjected to performance forecasting belongs and the overall performance professional attribute parameter of the ship to be subjected to performance forecasting;
determining a basic solver of a ship overall performance discipline to which a ship overall performance professional attribute parameter of a service application scene belongs, wherein the ship overall performance discipline comprises a hydrodynamic performance discipline, a structural safety performance discipline and a comprehensive stealth performance discipline, the basic solver of each ship overall performance discipline comprises a plurality of different solving models, a plurality of different data discrete formats and a plurality of different analysis solving methods, and each solving model in the basic solver of each ship overall performance discipline is a physical mathematical model or a numerical simulation method;
based on the reference verification data corresponding to the service application scene, selecting a solving model, a data discrete format, an analysis solving method and a combination package of model basic parameters from a basic solver corresponding to the ship overall performance professional attribute parameter of the service application scene to form a performance forecast solving module by taking the principle that the calculation result deviation of the ship overall performance professional attribute parameter is minimum; the reference verification data comprise standard model test data of a standard ship model under different wave environment parameters;
and constructing a ship overall performance forecasting application program aiming at the service application scene based on a performance forecasting solving module formed by encapsulation, wherein the ship overall performance forecasting application program is used for forecasting the ship overall performance in the service application scene.
2. The ship overall performance prediction application building method according to claim 1, further comprising:
and carrying out parameter correction on model basic parameters in the performance prediction solving module obtained based on the reference calibration data by utilizing multi-subsampled model test data of ship models corresponding to the same ship type but different ship parameters under different wave environment parameters, and packaging to form the performance prediction solving module.
3. The ship overall performance prediction application building method according to claim 2, further comprising:
determining a confidence interval of a performance forecast solving module formed by final packaging by utilizing multi-subsampled model test data of ship models corresponding to the same ship type but different ship parameters under different wave environment parameters; and the performance prediction solving module obtains the calculation result of the ship overall performance professional attribute parameter and the corresponding confidence interval.
4. The method for constructing a ship overall performance prediction application program according to claim 1, wherein constructing the ship overall performance prediction application program for the service application scenario based on the performance prediction solving module formed by encapsulation comprises:
the method comprises the steps of sequentially connecting input and output of a ship geometric standardization processing module corresponding to a ship type of the service application scene, a ship numerical calculation grid generating module corresponding to a ship overall performance professional attribute parameter of the service application scene and a performance prediction solving module formed by encapsulation, and constructing a ship overall performance prediction application program aiming at the service application scene, wherein the ship overall performance prediction application program is used for carrying out ship overall performance prediction according to an input target ship parameter and a target wave environment parameter in the service application scene;
the hull geometric standardization processing module is used for processing the input target hull parameters into hull standard geometric surface parameters; the hull numerical calculation grid generation module is used for processing the hull standard geometric surface parameters obtained by the hull geometric standardization processing module into numerical calculation body grids; the performance prediction solving module is used for calculating the body grid and the target wave environment parameters based on the numerical value obtained by the ship body numerical value calculation grid generating module to obtain the calculation result of the ship overall performance professional attribute parameters.
5. The ship overall performance prediction application building method according to claim 4, further comprising:
packaging a data extraction and identification unit, a coordinate conversion unit, a normalization unit and a characteristic line definition unit which correspond to the ship type together to form a ship body geometric standardization processing module which corresponds to the ship type;
the data extraction and identification unit is used for extracting the characteristics of the input target hull parameters according to the characteristic extraction method corresponding to the type of the ship to obtain the key characteristics of the hull, wherein the key characteristics of the hull comprise the geometric dimension of the hull, the bow direction, the ship side direction and the surface normal direction;
the coordinate conversion unit is used for carrying out coordinate conversion on the geometric dimension of the ship body extracted by the data extraction and identification unit according to a coordinate conversion method corresponding to the ship type, the normalization unit is used for carrying out normalization processing on the geometric dimension of the ship body subjected to coordinate conversion by taking the ship length as a characteristic quantity, and the characteristic line definition unit is used for carrying out characteristic line definition on the geometric dimension of the ship body subjected to normalization processing according to a characteristic line definition method corresponding to the ship type, so that the standard geometric surface parameter of the ship body is obtained.
6. The ship overall performance prediction application building method according to claim 4, further comprising:
and encapsulating the grid division method corresponding to the ship overall performance professional attribute parameter of the service application scene to form a ship body numerical calculation grid generation module corresponding to the ship overall performance professional attribute parameter.
7. The method for constructing the overall performance forecasting application program of the ship according to claim 4, wherein the overall performance forecasting application program of the ship for the service application scene further comprises a result post-processing module corresponding to the overall performance professional attribute parameter of the ship for the service application scene, and the input of the result post-processing module is connected with the output of the performance forecasting solving module;
and the result post-processing module is used for processing the calculation result of the ship overall performance professional attribute parameter obtained by the performance prediction solving module into a ship overall performance prediction summarization report.
8. The ship overall performance prediction application building method of claim 7, further comprising:
packaging data post-processing operation corresponding to the ship overall performance professional attribute parameters of the service application scene to form a result post-processing module; the data post-processing operation comprises at least one of data format conversion, generation of a statistical chart, generation of a waveform curve and image rendering of a calculation result of the ship overall performance professional attribute parameter.
9. The method for constructing a marine overall performance prediction application according to claim 1, wherein,
the hydrodynamic performance disciplines comprise four professional layers which are respectively classified into water surface ship rapidity, water surface ship maneuvering performance, water surface ship wave resistance and water surface ship dynamic stability; the rapidity of the water surface ship comprises three attribute layers which are respectively classified into resistance performance, propulsion performance and power performance and flow field characteristics; the water surface ship operability comprises three attribute layer classifications, namely an operating hydrodynamic coefficient, an operating motion performance and an in-wave operating performance; the wave resistance of the water surface ship comprises two attribute layers which are respectively classified into motion characteristics in waves and interference motion characteristics of multiple ships; the stability of the water surface ship comprises three attribute layers which are respectively wave stability, anti-sinking property and breakage stability in waves; the attribute layer classification of each professional layer classification of the hydrodynamic performance subject comprises a plurality of ship overall performance professional attribute parameters;
the structural safety discipline comprises two professional layers of classification of structural loads and structural strength of the water surface ship respectively; the structural load of the water surface ship comprises two attribute layers which are respectively classified into static load and dynamic load; the structural strength of the water surface ship comprises two attribute layers which are respectively classified into total strength and local strength; the attribute layer classification of each professional layer classification of the structural safety performance discipline comprises a plurality of ship overall performance professional attribute parameters;
the comprehensive stealth performance discipline comprises three professional layer classifications, namely, water surface ship mechanical system and equipment vibration noise, water surface ship propeller noise and acoustic optimization, water surface ship hydrodynamic noise calculation and low noise design; the vibration noise of the water surface ship mechanical system and the equipment comprises two attribute layer classifications, namely vibration isolation design and cabin air noise prediction of the vibration noise of the water surface ship mechanical system and the equipment respectively; the water surface ship propeller noise and acoustic optimization comprises two attribute layer classifications, namely water surface ship propeller noise and water surface ship propeller acoustic optimization; the water surface ship hydrodynamic noise calculation and low noise design comprises two attribute layer classifications, namely a water surface ship hydrodynamic noise and water surface ship hydrodynamic low noise design; the attribute layer classification of each professional layer classification of the comprehensive stealth performance discipline comprises a plurality of ship overall performance professional attribute parameters.
10. The ship overall performance prediction application building method according to claim 9, wherein,
the ship overall performance professional attribute parameters belonging to the hydrodynamic performance discipline comprise static water resistance performance, wind resistance performance, open water performance, cavitation performance, autopilot factor forecast, propulsion power forecast, sailing wave making, subsurface flow field/wake field, oblique sailing hydrodynamic derivative, rotation hydrodynamic derivative, water surface linear stability, water surface rotation performance, water surface Z-shaped maneuver performance, heading stability, maneuver performance, wave resistance added mass and damping hydrodynamic coefficient, six-degree-of-freedom motion and acceleration response, resistance increase and stall in ship waves, upper waves and slamming, propeller water outlet, multi-ship hydrodynamic interference, multi-ship sailing replenishment motion response, multi-ship or dock berthing motion response, parameter roll, pure stability loss, riding waves/transverse throwing, paralysis ship stability, capsizing, reserve buoyancy, broken ship wind resistance forecast, broken ship motion, broken water inlet and outlet, broken ship motion and broken water inlet and outlet interaction;
the general performance professional attribute parameters of the ship belonging to the structural safety performance discipline comprise static load, wave load, slamming load, ice load, total strength of the water surface ship, local strength of the water surface ship, buckling strength of the water surface ship and fatigue strength of the water surface ship;
the ship overall performance professional attribute parameters belonging to the comprehensive stealth performance discipline comprise main power equipment and system vibration and sound transmission of a water surface ship, auxiliary system and equipment vibration and sound transmission of the water surface ship, vibration and sound transmission of a water surface ship pipeline system and equipment, vibration and sound transmission of a water surface ship propulsion system and equipment, vibration and sound transmission of a water surface ship vibration isolation system, air noise source characteristics of a water surface ship cabin, water surface ship cabin noise, cavitation performance of a water surface ship propeller, low-frequency line spectrum noise of the water surface ship propeller, non-cavitation medium-high-frequency noise of the water surface ship propeller, cavitation pulse pressure of the water surface ship propeller, cavitation noise of the water surface ship propeller, cavitation and noise control of the water surface ship hydrodynamic noise and low-noise linear optimization design of the water surface ship.
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