CN115481494A - Yangtze river full-line passenger ship type line pedigree generation method - Google Patents
Yangtze river full-line passenger ship type line pedigree generation method Download PDFInfo
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Abstract
The invention provides a Yangtze river full-line passenger ship type line spectrum generation method, which comprises the following steps: according to the current molded line characteristics of the Yangtze river full-line passenger ship, a current parameterization model is built; acquiring and processing relevant data in each typical parameterized model, and constructing to obtain a quantitative database; extracting key parameters influencing the model of the Yangtze river whole line passenger ship based on the quantitative database and in combination with the current parameterized model; optimizing the passenger ship profile of the Yangtze river full-line passenger ship based on the key parameters; and constructing a profile lineage of the Yangtze river full-line passenger ship based on the optimized passenger ship profile. The model line of the passenger ship is optimized by carrying out model line optimization according to the relevant parameters of the typical passenger ship of the whole Yangtze river on the basis of carrying out parametric modeling on the current passenger ship, so that the model line of the passenger ship is optimized, and the more accurate model line of the whole Yangtze river passenger ship is constructed.
Description
Technical Field
The invention relates to the technical field of passenger ship type line pedigree generation, in particular to a method for generating a Yangtze river full-line passenger ship type line pedigree.
Background
At present, with the rapid development of national economy, more and more people utilize idle time to go out, and the mode of going out is also more diversified, and it is also more convenient to go out, consequently, the passenger ship that moves in the whole line of Yangtze river also more and more.
Meanwhile, the existing mainstream ship type line pedigree construction method is generally constructed according to the current design requirement, and the accuracy of type line pedigree construction is reduced due to the lack of consideration on type line influence parameters in the construction process.
Therefore, the invention provides a method for generating the model lineages of Yangtze river full-line passenger ships.
Disclosure of Invention
The invention provides a method for generating a model line pedigree of a Yangtze river full-line passenger ship, which is used for optimizing the model line pedigree of the passenger ship according to relevant parameters of a typical passenger ship of the Yangtze river full-line passenger ship on the basis of carrying out parametric modeling on the current passenger ship, so that the model line pedigree of the passenger ship is optimized, and a more accurate model line pedigree of the Yangtze river full-line passenger ship is constructed.
The invention provides a Yangtze river full line passenger ship type line pedigree generation method, which comprises the following steps:
step 1: according to the current molded line characteristics of the Yangtze river full-line passenger ship, a current parameterization model is built;
step 2: acquiring and processing relevant data in each typical parameterized model, and constructing to obtain a quantitative database;
and 3, step 3: extracting key parameters influencing the model of the Yangtze river whole line passenger ship based on the quantitative database and in combination with the current parameterized model;
and 4, step 4: optimizing the passenger ship profile of the Yangtze river full-line passenger ship based on the key parameters;
and 5: and constructing a profile line spectrum of the Yangtze river full-line passenger ship based on the optimized passenger ship profile.
In a possible implementation manner, according to the current profile characteristics of the Yangtze river full-line passenger ship, a current parameterized model is built, and the method comprises the following steps of:
step 11: obtaining line parameters of the Yangtze river full-line passenger ship, importing the line parameters into a passenger ship profile line table, and automatically generating a passenger ship profile;
step 12: adjusting the passenger ship profile according to a curved surface fitting standard;
step 13: and carrying out parametric modeling on the adjusted molded line according to the curve surface modeling standard to obtain a current parametric model.
In a possible implementation manner, obtaining line parameters of the full-line passenger ship in the Yangtze river, importing a passenger ship profile line table, and automatically generating a passenger ship profile, includes:
step 111: analyzing each group of line parameters based on the passenger ship profile table to obtain profile points;
step 112: randomly screening a reference point from the molded line points, and calling a sorting scheme to sort the rest molded line points according to the position characteristics of the reference point;
step 113: carrying out azimuth pre-division according to the current azimuth of the sequenced molded line points;
step 114: and generating the passenger ship profile according to the azimuth pre-division result.
In one possible implementation, the adjusting the passenger ship profile according to the surface fitting standard includes:
step 121: automatically fitting the original passenger ship shape according to all the automatically generated passenger ship molded lines;
step 122: correcting the original passenger ship shape;
step 123: and smoothly fitting the corrected form according to the relevant model to obtain a smooth three-dimensional curved surface, and further obtain the adjusted molded line.
In a possible implementation manner, the obtaining and processing relevant data in each typical parameterized model to construct a quantized database includes:
step 21: obtaining typical characteristic parameters of each typical parameterized model;
step 22: carrying out standardization processing on the typical characteristic parameters;
wherein i is the ith typical characteristic parameter in the corresponding typical parameterized model, N i For corresponding to the ith typical characteristic parameter A in the typical parametric model i The parameter values after standardization processing, wherein n is the total number of typical characteristic parameters related to the corresponding typical parameterized model; r is i For corresponding to the ith typical characteristic parameter A in the typical parametric model i Obtaining the error parameters in the process;
step 23: and constructing to obtain a quantitative database based on the standardized parameters.
In one possible implementation manner, extracting key parameters affecting the model of the Yangtze river full-line passenger ship based on the quantitative database and in combination with the current parameterized model includes:
step 31: selecting common characteristic parameters of all typical parameterized models in the quantitative database, and calculating the accumulated contribution rate of each common characteristic parameter;
wherein Y1 represents the cumulative contribution rate corresponding to the same common characteristic parameter; j1 represents the number of typical parameterized models related to the same common characteristic parameter; h j1 Representing the contribution rate of the corresponding characteristic parameter of the same commonality based on the related j1 st typical parameterized model; j2 represents the number of the rest characteristic parameters which are contained in the J1 th typical parameterized model and are related to the corresponding common characteristic parameters; s j2 Representing the parameter contribution rate of the corresponding j2 th rest characteristic parameter;
representing the total contribution rate of the remaining characteristic parameters except the corresponding j2 th remaining characteristic parameter;
an average value representing a ratio of the obtained parameter contribution rate to the total contribution rate;
representing the minimum value of the ratio of the obtained parameter contribution rate to the total contribution rate; max represents the sign of the maximum function, i.e. the most significant one of the corresponding functions is selected as the value of the function; exp represents the sign of the exponential function;
a fine-tuning function representing the contribution rate of the corresponding common characteristic parameter based on the related j1 st typical parameterized model;
step 32: sequencing based on the accumulated contribution rate of each common characteristic parameter;
step 33: based on the sequencing result, sequentially analyzing the association degree of each common characteristic parameter and the current parameterized model;
when the correlation degree is greater than a preset degree, reserving corresponding common characteristic parameters;
otherwise, rejecting the corresponding common characteristic parameters;
and taking the reserved common characteristic parameters as key parameters influencing the model lines of the Yangtze river full-line passenger ship.
In one possible implementation manner, the optimizing the passenger ship profile of the full-line Yangtze river passenger ship based on the key parameters includes:
step 41: establishing molded line optimization conditions based on the key parameters, and judging whether each molded line optimization condition is suitable for the needs of the parameterized model of the current passenger ship;
if so, reserving key parameters matched with the corresponding molded line optimization conditions;
if the molded line optimization conditions are not suitable, removing key parameters matched with the corresponding molded line optimization conditions;
step 42: based on the reserved key parameters, carrying out preliminary optimization on the passenger ship profile of the Yangtze river full-line passenger ship;
step 43: determining modification conditions of the preliminarily optimized molded lines based on a molded line analysis mechanism;
step 44: judging whether the corresponding preliminarily optimized molded line meets the molded line modification standard or not based on the modification condition;
if the molded line modification standard is not met, modifying the molded line after corresponding preliminary optimization according to the modification condition, and outputting the modified molded line;
otherwise, continuously judging based on the modified molded line until the molded line modification standard is not met, and outputting the final molded line;
step 45: and obtaining the optimized Yangtze river full-line passenger ship profile according to the output profile.
In one possible implementation manner, the building of the contour lineage of the Yangtze river full-line passenger ship based on the optimized passenger ship contour includes:
classifying the optimized passenger ship profile according to a multi-dimensional index;
the classification type lines are integrated to construct a Yangtze river full-line passenger ship type line pedigree;
the multi-dimensional index is related to the scale parameters of the total volume of the passenger ship, the bottom area of the passenger ship and the perimeter of the bottom surface of the passenger ship, the shape parameters of the aspect ratio and the length-width ratio of the passenger ship, the quantity parameters of the number of layers above the water and the number parameters of the layers under the water of the passenger ship, and the mark parameters of the highest height and the largest volume.
In a possible implementation manner, after the model line pedigree of the Yangtze river full-line passenger ship is constructed, the method further includes:
step 01: constructing an optimized first parameterized model based on the current Yangtze river full-line passenger ship type line pedigree, and obtaining a plurality of groups of experimental data points through an experimental design method;
step 02: importing the optimized experimental data points of the first parameterized model into a preset resistance simulation system to generate a resistance grid file;
and 03: calculating to obtain a resistance value corresponding to the experimental data point based on the resistance grid file;
step 04: and establishing an optimization target by combining the resistance value of each data point with the minimum resistance of the linear running of the passenger ship, optimizing the optimized first parameterized model again to obtain a second parameterized model, and generating the molded line spectrum of the second parameterized model.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a flowchart of a method for generating a model line pedigree of a Yangtze river full-line passenger ship in an embodiment of the invention;
FIG. 2 is a flowchart of step 1 of a method for generating a model line pedigree of a Yangtze river full-line passenger ship in an embodiment of the present invention;
fig. 3 is a flowchart of step 4 in the method for generating the model lineage of passenger ships in the whole Yangtze river line in the embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example 1:
the embodiment of the invention provides a Yangtze river full-line passenger ship type line spectrum generation method, which comprises the following steps of:
step 1: according to the current molded line characteristics of the Yangtze river full-line passenger ship, a current parameterization model is built;
step 2: acquiring and processing relevant data in each typical parameterized model, and constructing to obtain a quantitative database;
and step 3: extracting key parameters influencing the model line of the Yangtze river whole line passenger ship based on the quantitative database and in combination with the current-money parameterized model;
and 4, step 4: optimizing the passenger ship profile of the Yangtze river full-line passenger ship based on the key parameters;
and 5: and constructing a profile lineage of the Yangtze river full-line passenger ship based on the optimized passenger ship profile.
In this embodiment, the current profile characteristics are determined according to the design requirements of the passenger ship, such as the ship bow streamline, the ship stern terminal curve bending degree, the height, the half width, the total length, the ship bottom area, the draught and the like.
In this embodiment, the current parameterized model is generated jointly from the design parameters required for the design of the passenger ship.
In this embodiment, the typical parameterized model is a parameterized model constructed according to a typical passenger ship in the whole line of the Yangtze river.
In this embodiment, the processing of the relevant data is to perform unified unit processing on the typical parameters in the typical parameterized model, so as to perform comparison calculation more conveniently.
In this embodiment, the quantitative database is composed of typical parameter types and their corresponding values, for example, if the ship a has a special bow-tip part, the bow-tip part data of the ship can be used as a typical parameterized model.
In this embodiment, the key parameter is a parameter that is obtained by processing and calculation and has a large influence on the model line of the passenger ship, for example, the parameter may be used as the key parameter if the passenger ship a has a higher traveling speed than other passenger ships because the bow of the passenger ship is more specific.
In this embodiment, the optimization of the passenger ship profile of the full-line passenger ship in the Yangtze river is to optimize the current passenger ship profile according to the parameters of a typical passenger ship in the quantitative database, for example: in a typical passenger ship parameterized model, the bow streamline data of the passenger ship is superior to that of the current passenger ship parameterized model, and the streamline data can be used for optimizing the bow streamline data in the current passenger ship parameterized model after being processed.
The beneficial effects of the above technical scheme are: on the basis of carrying out parametric modeling on the current passenger ship, profile optimization is carried out according to relevant parameters of a typical passenger ship of the whole Yangtze river line, so that the passenger ship profile lineage is optimized, and a more accurate whole Yangtze river line passenger ship profile lineage is constructed.
Example 2:
based on the basis of embodiment 1, the current parameterization model is built according to the current model line characteristics of the Yangtze river full-line passenger ship, and the method comprises the following steps:
step 11: obtaining line parameters of the Yangtze river full-line passenger ship, importing the line parameters into a passenger ship profile line table, and automatically generating a passenger ship profile;
step 12: adjusting the passenger ship profile according to a curved surface fitting standard;
step 13: and carrying out parametric modeling on the adjusted molded line according to the curve surface modeling standard to obtain a current parametric model.
In this embodiment, the line parameters of the full-line passenger ship in the Yangtze river are determined according to the passenger ship design requirement, and the line parameters are the designable parameters of the passenger ship and the predetermined passenger ship information, such as the height, half width, total length, bottom area, draft and the like of the passenger ship.
In this embodiment, the passenger ship profile table is preset, and is a profile table preset mainly for different design requirements, and is mainly composed of line parameter types and line parameter values of the passenger ship.
In this embodiment, the curvature, the streamline shape, and the like of the passenger ship profile to be designed may be adjusted according to the curve fitting standard.
In this embodiment, the curve surface modeling is performed by using a modeling function according to a known profile, for example, using an NX curve surface modeling function.
The beneficial effects of the above technical scheme are: and fitting a parameterized model which is basically consistent with the current passenger ship as far as possible by optimizing the known line parameters, and performing line optimization on the basis of the parameterized model, thereby generating a more accurate passenger ship line spectrum.
Example 3:
based on the basis of embodiment 2, the obtaining of the line parameters of the passenger ship on the whole Yangtze river line, importing the line parameters into a passenger ship profile line table, and automatically generating the passenger ship profile line comprises the following steps:
step 111: analyzing each group of line parameters based on the passenger ship profile table to obtain profile points;
step 112: randomly screening a reference point from the molded line points, and calling a sorting scheme to sort the rest molded line points according to the position characteristics of the reference point;
step 113: carrying out azimuth pre-division according to the current azimuth of the sequenced molded line points;
step 114: and generating the passenger ship profile according to the azimuth pre-division result.
In this embodiment, there are many methods for analyzing each group of parameters to obtain the line points, for example, a random point is selected as an origin of a coordinate system, a three-dimensional coordinate system is established according to the point, half-width and other line parameters of the passenger ship are established in the three-dimensional coordinate system according to the corresponding position, and a line parameter intersection point or an end point thereof is the obtained line point.
In this embodiment, the randomly screened reference point is only reasonable, and may be, for example, a bow endpoint, a center of gravity point of a passenger ship, a stern endpoint, or the like.
In this embodiment, the process of the pre-division of the directions can be classified according to various directions, and the division can be performed as detailed as possible, for example, the passenger ship can be pre-divided into an above-water part and an under-water part according to the waterline, the longitudinal direction line and the transverse direction line of the ship, the passenger ship can be pre-divided into a left part, a middle part and a right part according to the waterline, and the passenger ship can be pre-divided into a bow part, a hull part and a stern part according to the transverse direction line of the ship.
In this embodiment, the generating the passenger ship profile according to the pre-division result of the azimuth may include: and connecting the sorted molded line value points in a certain area divided in advance in the azimuth one by one to generate a section-by-section molded line, and then connecting the section-by-section molded lines with related characteristics to obtain a complete passenger ship molded line.
The beneficial effects of the above technical scheme are: the error of the passenger ship profile generation process can be reduced by connecting the passenger ship profiles section by section and then integrally connecting the passenger ship profiles, so that the current passenger ship profile can be obtained more accurately, and a more accurate parameterized model can be fitted based on the profile.
Example 4:
based on the basis of the embodiment 2, the passenger ship profile is adjusted according to the curved surface fitting standard, and the method comprises the following steps:
step 121: automatically fitting an original passenger ship form according to all automatically generated passenger ship molded lines;
step 122: correcting the original passenger ship shape;
step 123: and performing smooth fitting on the corrected form according to the relevant model to obtain a smooth three-dimensional curved surface, and further obtaining the adjusted molded line.
In this embodiment, the original passenger ship form is automatically fitted according to all the automatically generated passenger ship profiles, and the profile fitting constructed according to all the current profile parameters is an original passenger ship form parameterized model closer to the current passenger ship form.
In this embodiment, the original passenger ship shape is modified by processing the overlapped and crossed portions of the various profiles, so that the original passenger ship shape is more accurate and meets the design requirements of the actual passenger ship.
In this embodiment, smooth fitting is performed on the corrected form according to the relevant model, that is, parameters of the corrected profile are adjusted, and the surface of the passenger ship is reconstructed to be smoother, so that the passenger ship meets the actual use requirements of the passenger ship.
The beneficial effects of the above technical scheme are: by surface fitting, the molded lines in the current parameterized model are adjusted, so that the molded lines can be generated more accurately, and a more accurate parameterized model of the passenger ship which meets the design requirements of the passenger ship better is obtained.
Example 5:
based on the basis of the embodiment 1, the relevant data in each typical parameterized model is obtained and processed to construct a quantitative database, which comprises the following steps:
step 21: obtaining typical characteristic parameters of each typical parameterized model;
step 22: carrying out standardization processing on the typical characteristic parameters;
wherein i is the ith typical characteristic parameter in the corresponding typical parameterized model, N i For corresponding to the ith typical characteristic parameter A in the typical parametric model i The parameter values after standardization processing, and n is the total number of typical characteristic parameters related to the corresponding typical parameterized model; r is a radical of hydrogen i For corresponding to the ith typical characteristic parameter A in the typical parametric model i Obtaining error parameters in the process;
in this embodiment, the typical parameterized model is a parameterized model constructed based on a typical passenger ship in the whole line of the Yangtze river.
In this embodiment, the typical characteristic parameters are characteristic parameters in a typical parameterized model obtained based on the design requirements of the passenger ship, such as the ship bow streamline, the stern terminal curve bending degree, the height, the half width, the total length, the ship bottom area, the draft and the like.
In this embodiment, the normalization processing of the characteristic parameter is processing for uniformly normalizing the parameter, for example, the circumference of the bottom of the passenger ship and the area of the bottom of the passenger ship can be directly compared and calculated after the normalization processing.
In the embodiment, the error parameter mainly comprises an artificial error existing in the parameter measurement process, or an actual error between an actual parameter and an identification parameter caused by the running abrasion of a passenger ship.
The beneficial effects of the above technical scheme are: by uniformly processing the characteristic parameters in the typical parameterized model, the characteristic parameters are more convenient and easier to compare and calculate, and convenience is provided for subsequent calculation based on the characteristic parameters, so that the molded lines are more accurately generated.
Example 6:
based on the basis of the embodiment 5, the extracting of the key parameters affecting the model of the whole Yangtze river passenger ship based on the quantitative database and in combination with the current parameterized model comprises the following steps:
step 31: selecting common characteristic parameters of all typical parameterized models in the quantitative database, and calculating the accumulated contribution rate of each common characteristic parameter;
wherein Y1 represents the cumulative contribution rate corresponding to the same common characteristic parameter; j1 represents the number of typical parameterized models related to the same common characteristic parameter; h j1 Representing the contribution rate of the corresponding characteristic parameter of the same commonality based on the related j1 st typical parameterized model; j2 represents the number of the rest characteristic parameters related to the corresponding common characteristic parameters contained in the J1 th typical parameterized model；S j2 Representing the parameter contribution rate of the corresponding j2 th rest characteristic parameter;
representing the total contribution rate of the remaining characteristic parameters except the corresponding j2 th remaining characteristic parameter;
an average value representing a ratio of the obtained parameter contribution rate to the total contribution rate;
representing the minimum value of the ratio of the obtained parameter contribution rate to the total contribution rate; max represents the sign of the maximum function, i.e. the most significant one of the corresponding functions is selected as the value of the function; exp represents the sign of the exponential function;
a fine-tuning function representing the contribution rate of the corresponding common characteristic parameter based on the related j1 st typical parameterized model;
step 32: sequencing based on the accumulated contribution rate of each common characteristic parameter;
step 33: based on the sequencing result, sequentially analyzing the association degree of each common characteristic parameter and the current parameterized model;
when the correlation degree is greater than a preset degree, reserving corresponding common characteristic parameters;
otherwise, rejecting the corresponding common characteristic parameters;
and taking the reserved common characteristic parameters as key parameters influencing the model lines of the passenger ship on the whole Yangtze river line.
In this embodiment, the common characteristic parameter is a parameter having the same or similar characteristics in different typical parametric models, such as the streamline of the bow, the position of the power propulsion mechanism of the passenger ship, and the like.
In this embodiment, the cumulative contribution rate is the sum of the contribution rates of the current common characteristic parameters in different typical parameterized models.
In this embodiment, for the ranking of the cumulative contribution rates, the ranking may be performed according to the contribution rates, and the degree of association between the common characteristic parameter and the current parameterized model is determined according to the ranking;
in this embodiment, for example, the matching degree between the commonality characteristic parameter 1 and the reticle characteristics 1 and 2 in the current parameterized model can be determined according to the accumulated contribution rate, and the more matching, the higher the corresponding correlation degree.
In this embodiment, if the correlation degree is higher than the preset correlation degree, the correlation degree is a key parameter affecting the profile of the passenger ship, and is reserved, for example, if the preset correlation degree is 80%, and the correlation degree between the actual passenger ship bow streamline and the passenger ship profile is 84%, the passenger ship bow streamline is a key parameter affecting the passenger ship profile.
The beneficial effects of the above technical scheme are: through the processing and analysis of the common characteristic parameters in the parameterized model, the accumulated contribution rate is calculated, the degree of association between the common characteristic parameters and the current parameterized model is determined, and the degree of influence of the common characteristic parameters on the passenger ship profile is judged, so that the optimization of the current passenger ship parameterized model can be more accurate and reasonable, and the optimization of the current passenger ship profile is more facilitated.
Example 7:
based on the basis of the embodiment 5, optimizing the passenger ship profile of the Yangtze river full-line passenger ship based on the key parameters comprises the following steps:
step 41: establishing profile optimization conditions based on the key parameters, and judging whether each profile optimization condition is suitable for the requirement of the current passenger ship parametric model;
if so, reserving key parameters matched with the corresponding molded line optimization conditions;
if the model is not suitable, removing key parameters matched with the corresponding molded line optimization conditions;
step 42: based on the reserved key parameters, carrying out preliminary optimization on the passenger ship profile of the Yangtze river full-line passenger ship;
step 43: determining modification conditions of the preliminarily optimized molded lines based on a molded line analysis mechanism;
step 44: judging whether the corresponding preliminarily optimized molded line meets the molded line modification standard or not based on the modification condition;
if the molded line modification standard is not met, modifying the molded line after corresponding preliminary optimization according to the modification condition, and outputting the modified molded line;
otherwise, continuously judging based on the modified molded line until the molded line modification standard is not met, and outputting the final molded line;
step 45: and obtaining the optimized Yangtze river full-line passenger ship profile according to the output profile.
In this embodiment, the key parameter is a typical parameter after the normalization process, and the degree of association between the parameter and the current parameterized model is determined by calculating the cumulative contribution rate of the parameter, so as to obtain a parameter having a large influence on the model line of the passenger ship. For example, if a parameter is associated with the current parameterized model to 80%, the parameter is a key parameter.
In this embodiment, the molded line optimization condition constructed based on the key parameter is a value based on the key parameter, the corresponding parameter in the current parameterized model is compared, and the optimization quantity of the parameter to be optimized in the current parameterized model is determined as the optimization condition.
In this embodiment, the requirement that the profile optimization condition is adapted to the current passenger ship parameterized model is whether the optimized profile is a parameter existing in the current passenger ship parameterized model, for example, if the obtained profile optimization condition is an optimized passenger ship high-rise cabin and there is no high-rise cabin in the current parameterized model, the profile optimization condition is not adapted to the requirement of the current passenger ship parameterized model.
In this embodiment, the preliminary optimization of the passenger ship profile is based on key parameters that can be adapted to the parameterized model of the current passenger ship, and the corresponding profile in the parameterized model is optimized.
In this embodiment, the profile analysis mechanism is configured to analyze whether the profile meets the requirements of the ship, such as the draft height and the side contour line.
In this embodiment, the condition for modifying the profile is to determine whether the parameters in the passenger ship parametric model need to be optimized again according to the profile analysis mechanism.
The beneficial effects of the above technical scheme are: through the optimization of the molded lines, the molded lines which are not suitable for the operation of the passenger ship in the current passenger ship molded lines are screened and processed, so that the obtained passenger ship molded lines are more accurate, and a foundation is laid for the subsequent generation of a more optimized Yangtze river whole line passenger ship molded line pedigree.
Example 8:
based on the basis of the embodiment 1, the contour lineage of the Yangtze river full-line passenger ship is constructed based on the optimized passenger ship contour, and the method comprises the following steps:
classifying the optimized passenger ship molded lines according to a multi-dimensional index;
the classification type lines are integrated to construct a Yangtze river full-line passenger ship type line pedigree;
the multi-dimensional index is related to scale parameters of the total volume of the passenger ship, the bottom area of the passenger ship and the perimeter of the bottom of the passenger ship, shape parameters of the height-width ratio, the length-width ratio, the streamline form and the bending degree of the passenger ship, quantity parameters of the number of the layers above the water and the number of the layers below the water of the passenger ship, and mark parameters of the highest height and the maximum volume.
In this embodiment, the multi-dimensional index includes, but is not limited to, a scale class parameter, a shape class parameter, a number class parameter, and a mark class parameter.
In this embodiment, the constructed Yangtze river full-line passenger ship type linear lineage is a passenger ship type linear lineage subjected to classification processing.
The beneficial effects of the above technical scheme are: through classifying and processing various passenger ship molded lines, a user can conveniently and quickly and accurately find corresponding parameters, and accordingly a passenger ship molded line pedigree can be obtained more quickly.
Example 9:
based on the basis of embodiment 1, after the model line pedigree of the Yangtze river full-line passenger ship is constructed, the method further comprises the following steps:
step 01: constructing an optimized first parameterized model based on the current Yangtze river full-line passenger ship profile lineage, and obtaining multiple groups of experimental data points by an experimental design method;
step 02: importing the optimized experimental data points of the first parameterized model into a preset resistance simulation system to generate a resistance grid file;
step 03: calculating to obtain a resistance value corresponding to the experimental data point based on the resistance grid file;
step 04: and establishing an optimization target by combining the resistance value of each data point with the minimum resistance of the linear running of the passenger ship, optimizing the optimized first parameterized model again to obtain a second parameterized model, and generating the molded line spectrum of the second parameterized model.
In this embodiment, the first parameterized model is generated based on the model lineages of the full-line passenger ships in the Yangtze river, which are generated after optimization processing.
In this embodiment, the experiment design method is a mathematical statistic method, such as DOE experiment design, mainly for arranging experiments and analyzing experimental data.
In this embodiment, the experimental data points are imported into the preset resistance simulation system, and the generated resistance mesh file may be generated automatically, for example, the acquired experimental data may be imported into the ICEM CFD, and the processing software completes the creation of the mesh file.
In this embodiment, based on the resistance grid file, the resistance value corresponding to the experimental data point obtained by calculation may be obtained by calculation using resistance calculation software, such as Fluent.
In this embodiment, the resistances include water resistance, air resistance, heavy water resistance, and body resistance, etc., wherein the main resistances are water resistance, so the preset resistance simulation system generally considers only water resistance.
In this embodiment, the optimization goal is to have the resistance value of the data point reach the minimum resistance as much as possible.
The beneficial effects of the above technical scheme are: through the simulation research to predetermineeing the resistance, can simulate the resistance that the passenger ship travel in-process received to optimize current Yangtze river full-line passenger ship type line pedigree, obtain new passenger ship type line pedigree result, so that the type line pedigree after optimizing once more can more adapt to the resistance influence of Yangtze river.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. A Yangtze river full-line passenger ship type line spectrum generation method is characterized by comprising the following steps:
step 1: according to the current molded line characteristics of the Yangtze river full-line passenger ship, a current parameterization model is built;
step 2: acquiring and processing relevant data in each typical parameterized model, and constructing to obtain a quantitative database;
and step 3: extracting key parameters influencing the model of the Yangtze river whole line passenger ship based on the quantitative database and in combination with the current parameterized model;
and 4, step 4: optimizing the passenger ship profile of the Yangtze river full-line passenger ship based on the key parameters;
and 5: and constructing a profile lineage of the Yangtze river full-line passenger ship based on the optimized passenger ship profile.
2. The Yangtze river full-line passenger ship profile generation method according to claim 1, wherein a current parameterized model is built according to current profile characteristics of a Yangtze river full-line passenger ship, and the method comprises the following steps:
step 11: obtaining line parameters of the Yangtze river full-line passenger ship, importing the line parameters into a passenger ship profile line table, and automatically generating a passenger ship profile;
step 12: adjusting the passenger ship profile according to a curved surface fitting standard;
step 13: and carrying out parametric modeling on the adjusted molded line according to the curve surface modeling standard to obtain a current parametric model.
3. The method for generating the model line pedigree of the Yangtze river full-line passenger ship according to claim 2, wherein the step of obtaining the line parameters of the Yangtze river full-line passenger ship, importing the line parameters into a passenger ship model line table, and automatically generating the model line of the passenger ship comprises the following steps:
step 111: analyzing each group of line parameters based on the passenger ship profile table to obtain profile points;
step 112: randomly screening a reference point from the molded line points, and calling a sorting scheme to sort the rest molded line points according to the position characteristics of the reference point;
step 113: carrying out azimuth pre-division according to the current azimuth of the sorted molded line points;
step 114: and generating the passenger ship profile according to the azimuth pre-division result.
4. The method of claim 2, wherein the step of adjusting the passenger ship profile according to the surface fitting criteria comprises:
step 121: automatically fitting the original passenger ship shape according to all the automatically generated passenger ship molded lines;
step 122: correcting the original passenger ship shape;
step 123: and smoothly fitting the corrected form according to the relevant model to obtain a smooth three-dimensional curved surface, and further obtain the adjusted molded line.
5. The Yangtze river full line passenger ship type linear pedigree generation method according to claim 1, wherein the step of obtaining relevant data in each typical parameterized model, processing the relevant data and constructing a quantitative database comprises the following steps:
step 21: obtaining typical characteristic parameters of each typical parameterized model;
step 22: carrying out standardization processing on the typical characteristic parameters;
wherein i is the ith typical characteristic parameter in the corresponding typical parameterized model, N i For corresponding to the ith typical characteristic parameter A in the typical parametric model i The parameter values after standardization processing, and n is the total number of typical characteristic parameters related to the corresponding typical parameterized model; r is i For corresponding to the ith typical characteristic parameter A in the typical parametric model i Obtaining error parameters in the process;
step 23: and constructing to obtain a quantitative database based on the standardized parameters.
6. The method of claim 5, wherein extracting key parameters affecting the Yangtze river full line passenger ship profile based on the quantitative database in combination with the current parameterized model comprises:
step 31: selecting common characteristic parameters of all typical parameterized models in the quantitative database, and calculating the cumulative contribution rate of each common characteristic parameter;
wherein Y1 represents the cumulative contribution rate corresponding to the same common characteristic parameter; j1 represents the number of typical parameterized models related to the same common characteristic parameter; h j1 Representing the contribution rate of the corresponding characteristic parameter of the same commonality based on the related j1 st typical parameterized model; j2 represents the number of the other characteristic parameters related to the corresponding common characteristic parameters contained in the J1 th typical parameterized model; s j2 Representing the parameter contribution rate of the corresponding j2 th rest characteristic parameter;
representing the total contribution rate of the remaining characteristic parameters except the corresponding j2 th remaining characteristic parameter;
representing the ratio of the contribution rate of the acquired parameter to the total contribution rateAn average of the values;
representing the minimum value of the ratio of the obtained parameter contribution rate to the total contribution rate; max represents the sign of the maximum function, i.e. the most significant one of the corresponding functions is selected as the value of the function; exp represents the sign of the exponential function;
a fine-tuning function representing the contribution rate of the corresponding common characteristic parameter based on the related j1 st typical parameterized model;
step 32: sorting is carried out based on the accumulated contribution rate of each common characteristic parameter;
step 33: based on the sequencing result, sequentially analyzing the association degree of each common characteristic parameter and the current parameterized model;
when the correlation degree is greater than a preset degree, reserving corresponding common characteristic parameters;
otherwise, rejecting the corresponding common characteristic parameters;
and taking the reserved common characteristic parameters as key parameters influencing the model lines of the Yangtze river full-line passenger ship.
7. The method of claim 5, wherein optimizing the passenger ship profile of the Yangtze river full line passenger ship based on the key parameters comprises:
step 41: establishing profile optimization conditions based on the key parameters, and judging whether each profile optimization condition is suitable for the requirement of the parameterized model of the current passenger ship;
if so, reserving key parameters matched with the corresponding molded line optimization conditions;
if the molded line optimization conditions are not suitable, removing key parameters matched with the corresponding molded line optimization conditions;
step 42: based on the reserved key parameters, carrying out preliminary optimization on the passenger ship profile of the Yangtze river full-line passenger ship;
step 43: determining modification conditions of the preliminarily optimized molded lines based on a molded line analysis mechanism;
step 44: judging whether the corresponding preliminarily optimized molded line meets the molded line modification standard or not based on the modification condition;
if the molded line modification standard is not met, modifying the molded line after corresponding preliminary optimization according to the modification condition, and outputting the modified molded line;
otherwise, continuously judging based on the modified molded line until the molded line modification standard is not met, and outputting the final molded line;
step 45: and obtaining the optimized Yangtze river full-line passenger ship profile according to the output profile.
8. The method for generating the model lineages of the Yangtze river full-line passenger ship according to claim 1, wherein the building of the model lineages of the Yangtze river full-line passenger ship based on the optimized passenger ship model lines comprises the following steps:
classifying the optimized passenger ship molded lines according to a multi-dimensional index;
the classification type lines are integrated to construct a Yangtze river full-line passenger ship type line pedigree;
the multi-dimensional index is related to the scale parameters of the total volume of the passenger ship, the bottom area of the passenger ship and the perimeter of the bottom of the passenger ship, the shape parameters of the aspect ratio and the length-width ratio of the passenger ship, the quantity parameters of the number of layers above the water and the number parameters of the layers below the water of the passenger ship, and the mark parameters of the highest height and the maximum volume.
9. The method for generating the model lineages of the Yangtze river full-line passenger ship according to claim 1, wherein after the model lineages of the Yangtze river full-line passenger ship are constructed, the method further comprises the following steps:
step 01: constructing an optimized first parameterized model based on the current Yangtze river full-line passenger ship profile lineage, and obtaining multiple groups of experimental data points by an experimental design method;
step 02: importing the optimized experimental data points of the first parameterized model into a preset resistance simulation system to generate a resistance grid file;
and 03: calculating to obtain a resistance value corresponding to the experimental data point based on the resistance grid file;
step 04: and constructing an optimization target by combining the resistance value of each data point and the minimum resistance of the linear running of the passenger ship, optimizing the optimized first parameterized model again to obtain a second parameterized model, and generating a molded line spectrum of the second parameterized model.
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| CN116776464A (en) * | 2023-06-09 | 2023-09-19 | 武汉理工大学 | Method and system for generating profile pedigree of specific-route river-sea direct container ship |
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