CN115688273B - Method for generating profile pedigree of cargo ship in middle and lower reaches of Yangtze river - Google Patents
Method for generating profile pedigree of cargo ship in middle and lower reaches of Yangtze river Download PDFInfo
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- CN115688273B CN115688273B CN202211332428.7A CN202211332428A CN115688273B CN 115688273 B CN115688273 B CN 115688273B CN 202211332428 A CN202211332428 A CN 202211332428A CN 115688273 B CN115688273 B CN 115688273B
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Abstract
The invention provides a method for generating a profile lineage of a cargo ship in the middle and lower reaches of Yangtze river. The method comprises the following steps: acquiring cargo ship profile data and performance data from a cargo ship type database in the middle and lower reaches of the Yangtze river, and classifying the cargo ship profile data and the performance data according to the cargo ship type; extracting the profile characteristics and performance characteristics of each cargo ship in the same classification result; determining the adaptability relationship between the profile characteristics and the performance characteristics of each cargo ship in the same classification result; according to the principle of line-performance optimization, adjusting the adaptability relation corresponding to each cargo ship in the same classification result until the optimal adaptability constraint is met, so that the cargo ship performance of the corresponding cargo ship is optimal; the method has the advantages that the latest molded lines of the corresponding cargo ships based on the optimal performance are obtained, the molded line system of the cargo ship in the middle and lower reaches of the Yangtze river is generated, the performance of the corresponding cargo ship is improved, the female molded line system of the cargo ship molded line design is provided, and a foundation is laid for the later cargo ship molded line design.
Description
Technical Field
The invention relates to the technical field of ships, in particular to a method for generating a profile lineage of a cargo ship in the middle and lower reaches of Yangtze river.
Background
At present, the shipping industry in China is vigorously developed, and the shipping capacity of water is increased. The cargo throughput of the region in the middle and downstream of the Yangtze river serving as the main freight channel in China is not neglected. It is necessary to design a cargo ship profile suitable for downstream shipping in the Yangtze river.
The source of the ship design is the profile design, which affects most of the ship's performance. In the past, the design of the ship molded lines is carried out by each ship independently, the design mode has high cost and long design period, and the final designed finished product performance is not necessarily optimal, so that the development of the ship industry is hindered to a certain extent.
Accordingly, the present invention provides a method of generating a profile lineage for a cargo ship in the middle and downstream of the Yangtze river.
Disclosure of Invention
The invention provides a method for generating profile lineages of a cargo ship in the middle and lower reaches of a Yangtze river, which is used for determining the adaptability relation between profile characteristics and performance characteristics of a corresponding cargo ship by acquiring the profile data and performance data of the current cargo ship in the middle and lower reaches of the Yangtze river, adjusting the adaptability relation to optimize the performance of the corresponding cargo ship according to a profile-performance optimization principle, and finally generating the profile lineages of the cargo ship in the middle and lower reaches of the Yangtze river based on the latest profile of the cargo ship corresponding to the optimal performance, thereby not only improving the performance of the corresponding cargo ship, but also providing a mother lineages of the profile design of the cargo ship and laying a foundation for the profile design of the later cargo ship.
The invention provides a method for generating a profile lineage of a cargo ship in the middle and lower reaches of Yangtze river, which comprises the following steps:
step 1: acquiring cargo ship profile data and performance data from a cargo ship type database in the middle and lower reaches of the Yangtze river, and classifying the cargo ship profile data and the performance data according to the cargo ship type;
step 2: extracting the profile characteristics and performance characteristics of each cargo ship in the same classification result;
step 3: determining the adaptability relationship between the profile characteristics and the performance characteristics of each cargo ship in the same classification result;
step 4: according to the principle of line-performance optimization, adjusting the adaptability relation corresponding to each cargo ship in the same classification result until the optimal adaptability constraint is met, so that the cargo ship performance of the corresponding cargo ship is optimal;
step 5: and obtaining the latest molded line of the cargo ship corresponding to the optimal performance, and generating the molded line pedigree of the cargo ship in the middle and lower reaches of the Yangtze river.
Preferably, in step 1, cargo ship profile data and performance data are obtained from a cargo ship profile database in the middle and lower reaches of the Yangtze river, and the cargo ship profile data and the performance data are classified according to cargo ship types, including:
acquiring a ship type file of each cargo ship from a ship type database of the cargo ship in the middle and lower reaches of the Yangtze river, and acquiring corresponding cargo ship molded line data and performance data according to the ship type file;
and determining the type of the cargo ship based on the loading object, and classifying all obtained cargo ship molded line data and performance data based on the type of the cargo ship.
Preferably, in step 2, the method for generating the profile pedigree of the cargo ship in the middle and downstream of the Yangtze river extracts the profile characteristics and the performance characteristics of the cargo ship of each cargo ship in the same classification result, and the method comprises the following steps:
constructing a corresponding cargo ship three-dimensional model according to cargo ship molded line data of each cargo ship in the same classification result, and projecting the cargo ship three-dimensional model into a preset three-dimensional coordinate system;
extracting a first part below a design waterline and a second part above the design waterline of a corresponding cargo ship based on a projection result in the preset three-dimensional coordinate system;
extracting a first profile parameter of the first portion and extracting a second profile parameter of the second portion;
based on the first molded line parameter, a first molded line characteristic is obtained, and based on the second molded line parameter, a second molded line characteristic is obtained;
determining a draft portion of a corresponding cargo ship based on a design waterline during driving, and determining a first duty ratio of the draft portion based on a first portion and a second duty ratio based on a second portion;
extracting a related first use parameter from the first part and a related second use parameter from the second part according to the first duty ratio result and the second duty ratio result and combining the third duty ratio of the draft part to the first part and the second part;
obtaining a third molded line feature based on the first use parameter and the second use parameter;
optimizing the first profile characteristic and the second profile characteristic based on the third profile characteristic to obtain a cargo ship profile characteristic of a corresponding cargo ship;
meanwhile, extracting characteristic points in the first part and the second part, and comparing performance prediction data corresponding to the characteristic points with performance data of corresponding cargo ships;
and obtaining the performance characteristics of the corresponding cargo ship based on the performance comparison result and the performance analysis model.
Preferably, a method for generating a profile lineage of a cargo ship in the middle and downstream of the Yangtze river extracts feature points in the first portion and the second portion, and compares performance prediction data corresponding to the feature points with performance data of a corresponding cargo ship, including:
acquiring a first curve contour of the first part, determining a model value point as a first characteristic point, and screening key points on a second curve contour of the second part as a second characteristic point;
based on a cargo ship supplementing mechanism, carrying out first point supplementation on the first characteristic points to obtain first supplementing characteristic points, and simultaneously carrying out second point supplementation on the second characteristic points to obtain second supplementing characteristic points;
performing performance analysis on the first supplementary feature points and the second supplementary feature points to obtain performance prediction data;
comparing the performance prediction data with the performance data of the corresponding cargo ship, and if the performance prediction data and the performance data are consistent, carrying out retention analysis on the performance data;
if the two are inconsistent, determining whether the performance characteristic prediction of the predicted data is superior to the performance characteristic prediction of the corresponding performance data;
if yes, reserving the corresponding prediction data and taking the corresponding prediction data as an optimization reference of the corresponding performance data;
otherwise, carrying out retention analysis on the performance data;
preferably, the method for generating the profile pedigree of the cargo ship in the middle and downstream of the Yangtze river carries out first point supplementation on the first characteristic point based on a cargo ship supplementation mechanism to obtain a first supplementation characteristic point, and comprises the following steps:
judging whether the distance between two adjacent first characteristic points is smaller than a first preset value, if so, reserving the corresponding first characteristic points, and not carrying out point supplement between the two adjacent characteristic points;
if not smaller than the first connecting straight line and the first contour curve of two adjacent first feature points are determined, and a first middle intersection point is obtained according to a first transverse middle line and a first longitudinal middle line of the first connecting straight line and the first contour curve;
determining a first area of an upper region and a second area of a lower region formed by the first intermediate intersection point, a first intersection point of the first intermediate intersection point and the first connecting straight line and the first contour curve, and a second intersection point of the first connecting straight line and the first contour curve;
when the first area is larger than the second area, performing first movement on the first intermediate intersection point to obtain a first determination point;
when the first area is smaller than the second area, performing second movement on the first intermediate intersection point to obtain a second determination point;
when the first area is equal to the second area, keeping the position of the first intermediate intersection point unchanged and taking the first intermediate intersection point as a third determination point;
and taking the corresponding determined point as a first supplementary point of the first characteristic point;
and obtaining the first supplementary feature points based on all the first supplementary points and the corresponding first feature points.
Preferably, the method for generating a profile lineage of a cargo ship in the middle and downstream of the Yangtze river includes moving the first intermediate intersection upward when the first area is greater than the second area to obtain a first determination point, including:
acquiring an area difference value between the first area and the second area, simultaneously calculating the total area of the first area and the second area, and acquiring an area average value;
determining a mean line in a surrounding area formed by the first connecting straight line and the first contour curve based on the area mean value, the first intersection point and the second intersection point;
and screening a first point closest to the first intermediate intersection point from the mean value line, and moving the first intermediate intersection point to the first point.
Preferably, a method for generating a profile lineage of a cargo ship in the middle and lower reaches of the Yangtze river determines an adaptability relationship between a profile characteristic and a performance characteristic of each cargo ship in the same classification result, including:
constructing an actual mapping relation between the profile characteristics and the performance characteristics of each cargo ship in the same classification result, and simultaneously extracting ideal profile characteristics and ideal performance characteristics of the cargo ships which are consistent with the corresponding classification and are in the same tonnage from a preset database;
establishing an ideal mapping relation between the ideal molded line characteristics and the ideal performance characteristics;
determining the matching degree of the actual mapping relation and the ideal mapping relation, and further obtaining the first adaptability of the corresponding cargo ship;
the first adaptability is a corresponding adaptability relation.
Preferably, a method for generating a profile lineage of a cargo ship in the middle and lower reaches of the Yangtze river adjusts an adaptability relation corresponding to each cargo ship in the same classification result until an optimal adaptability constraint is satisfied, so that the cargo ship performance of the corresponding cargo ship is optimal, according to a profile-performance optimal principle, including:
extracting molded line features and performance features of the cargo ships with the same tonnage levels in the same classification result, comparing the molded line features of the cargo ships with the same tonnage levels to obtain a first feature matrix, and comparing the performance features of the cargo ships with the same tonnage levels to obtain a second feature matrix;
acquiring a first ideal vector related to the first feature matrix, generating a cargo ship molded line feature difference array sequence corresponding to the same tonnage level, acquiring a second ideal matrix related to the second feature matrix, and generating a performance feature difference array sequence corresponding to the same tonnage level;
determining a first value of a corresponding difference array based on each of the sequence of profile feature difference arrays;
determining a second value of the corresponding difference array based on each performance feature difference array in the sequence of performance feature difference arrays;
according to all the obtained first values, constructing to-be-adjusted molded line vectors, and according to all the obtained second values, constructing to-be-adjusted performance vectors;
based on a first difference vector between the first ideal vector and the molded line vector to be adjusted and a second difference vector between the second ideal vector and the performance vector to be adjusted, adjusting the first adaptability of each cargo ship in the same classification result;
according to the line-performance optimal principle, obtaining optimal adaptation constraint matched with the corresponding tonnage level in the corresponding classification result;
when the adjustment result meets the corresponding optimal adaptation constraint, acquiring a performance adjustment result of the corresponding cargo ship;
otherwise, calibrating the cargo ships which do not meet the corresponding optimal adaptation constraint, and continuously adjusting the corresponding cargo ships according to the difference between the adjustment result and the corresponding optimal adaptation constraint until the corresponding optimal adaptation constraint is met.
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 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 thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a flow chart of a method for generating a profile lineage of a cargo ship in the middle and downstream of Yangtze river in an embodiment of the invention
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
Example 1
The embodiment of the invention provides a method for generating a profile lineage of a cargo ship in the middle and downstream of Yangtze river, which is shown in figure 1 and comprises the following steps:
step 1: acquiring cargo ship profile data and performance data from a cargo ship type database in the middle and lower reaches of the Yangtze river, and classifying the cargo ship profile data and the performance data according to the cargo ship type;
step 2: extracting the profile characteristics and performance characteristics of each cargo ship in the same classification result;
step 3: determining the adaptability relationship between the profile characteristics and the performance characteristics of each cargo ship in the same classification result;
step 4: according to the principle of line-performance optimization, adjusting the adaptability relation corresponding to each cargo ship in the same classification result until the optimal adaptability constraint is met, so that the cargo ship performance of the corresponding cargo ship is optimal;
step 5: and obtaining the latest molded line of the cargo ship corresponding to the optimal performance, and generating the molded line pedigree of the cargo ship in the middle and lower reaches of the Yangtze river.
In this embodiment, the cargo ship profile data includes profiles characterizing the hull structure of the cargo ship, including, in general: cross-section lines, longitudinal section lines, half-width waterline, design waterline, etc., and cargo ship types include bulk carriers, containers, tankers, etc.
In this embodiment, the profile features include profile parameters and profile feature points, and the performance features include stability performance, hydrodynamic performance, and the like.
In this embodiment, the adaptive relationship refers to a mapping relationship between the profile characteristics and performance characteristics of the cargo ship.
In this embodiment, the optimal adaptation constraint refers to the maximum water holding capacity obtained with optimal stability.
The beneficial effects of the technical scheme are as follows: the adaptability relation between the profile characteristics and the performance characteristics of the corresponding cargo ship is determined by acquiring the profile data and the performance data of the current cargo ship in the middle and lower reaches of the Yangtze river, the adaptability relation is adjusted according to the profile-performance optimization principle, the performance of the corresponding cargo ship is optimized, and finally, the profile system of the profile of the cargo ship in the middle and lower reaches of the Yangtze river is generated based on the latest profile of the cargo ship corresponding to the optimal performance, so that the performance of the corresponding cargo ship is improved, the profile system of the profile design of the cargo ship is provided, and a foundation is laid for the profile design of the cargo ship in the future.
Example 2
Based on embodiment 1, in step 1, cargo ship profile data and performance data are obtained from a cargo ship profile database in the middle and downstream of the Yangtze river, and the cargo ship profile data and the performance data are classified according to cargo ship types, including:
acquiring a ship type file of each cargo ship from a ship type database of the cargo ship in the middle and lower reaches of the Yangtze river, and acquiring corresponding cargo ship molded line data and performance data according to the ship type file;
and determining the type of the cargo ship based on the loading object, and classifying all obtained cargo ship molded line data and performance data based on the type of the cargo ship.
The beneficial effects of the technical scheme are as follows: and acquiring a ship type file of the cargo ship through the cargo ship type database to obtain molded line data and performance data of the corresponding cargo ship, classifying all obtained molded line data and performance data of the cargo ship based on the cargo ship type, and laying a foundation for extracting molded line characteristics and performance characteristics of the cargo ship of the same type subsequently.
Example 3
Based on embodiment 1, in step 2, extracting the profile feature and the performance feature of each cargo ship in the same classification result includes:
constructing a corresponding cargo ship three-dimensional model according to cargo ship molded line data of each cargo ship in the same classification result, and projecting the cargo ship three-dimensional model into a preset three-dimensional coordinate system;
extracting a first part below a design waterline and a second part above the design waterline of a corresponding cargo ship based on a projection result in the preset three-dimensional coordinate system;
extracting a first profile parameter of the first portion and extracting a second profile parameter of the second portion;
based on the first molded line parameter, a first molded line characteristic is obtained, and based on the second molded line parameter, a second molded line characteristic is obtained;
determining a draft portion of a corresponding cargo ship based on a design waterline during driving, and determining a first duty ratio of the draft portion based on a first portion and a second duty ratio based on a second portion;
extracting a related first use parameter from the first part and a related second use parameter from the second part according to the first duty ratio result and the second duty ratio result and combining the third duty ratio of the draft part to the first part and the second part;
obtaining a third molded line feature based on the first use parameter and the second use parameter;
optimizing the first profile characteristic and the second profile characteristic based on the third profile characteristic to obtain a cargo ship profile characteristic of a corresponding cargo ship;
meanwhile, extracting characteristic points in the first part and the second part, and comparing performance prediction data corresponding to the characteristic points with performance data of corresponding cargo ships;
and obtaining the performance characteristics of the corresponding cargo ship based on the performance comparison result and the performance analysis model.
In this embodiment, when the three-dimensional model is projected into the three-dimensional coordinate system, the central line plane, the middle base plane and the base plane are taken as coordinate planes, the intersection line of the central line plane and the base plane is taken as an X axis, the intersection line of the middle standing plane and the base plane is taken as a Y axis, and the intersection line of the central line plane and the middle standing plane is taken as a Z axis.
In this embodiment, the first profile parameter refers to a dimension parameter and a position parameter of the first portion profile, and the second profile parameter refers to a dimension parameter and a position parameter of the second portion profile.
In this embodiment, the first profile refers to the drain volume, cross-sectional area, etc. of the first portion calculated based on the first profile parameter, and the second profile refers to the drain volume, cross-sectional area, etc. of the second portion calculated based on the second profile parameter.
In this embodiment, determining the draft portion is determining the draft portion of the cargo vessel when empty by means of a three-dimensional model, the first ratio being the ratio of the volume of the draft portion to the volume of the first portion, and the second ratio being the ratio of the volume of the draft portion to the volume of the second portion.
In this embodiment, the third duty cycle refers to the ratio of the volume of the draft portion to the total volume of the first portion and the second portion, and the first usage parameter refers to the partial value of the first profile parameter. The second usage parameter refers to a partial value of the day line parameter.
In this embodiment, the third profile feature is calculated by matching the first usage parameter and the second usage parameter.
In this embodiment, the feature points are extracted based on the key points of the profile points and the curve profile, and the performance prediction data is calculated based on the three-dimensional coordinates of the feature points.
In this embodiment, the performance analysis model is trained in advance based on profile-performance data.
The beneficial effects of the technical scheme are as follows: the method comprises the steps of constructing a three-dimensional model of the cargo ship and projecting the model into a three-dimensional coordinate system to obtain each part of molded line parameters and molded line characteristics of the cargo ship, obtaining the molded line characteristics of the corresponding cargo ship based on optimization of each part of molded line characteristics, obtaining the performance characteristics of the corresponding cargo ship through a performance comparison result and a performance analysis model, obtaining the molded line characteristics and the performance characteristics of the cargo ship more accurately, and providing a foundation for follow-up determination of the adaptability relationship between the molded line characteristics and the performance characteristics of the cargo ship.
Example 4
Based on embodiment 3, extracting feature points in the first portion and the second portion, and comparing performance prediction data corresponding to the feature points with performance data of a corresponding cargo ship, comprising:
acquiring a first curve contour of the first part, determining a model value point as a first characteristic point, and screening key points on a second curve contour of the second part as a second characteristic point;
based on a cargo ship supplementing mechanism, carrying out first point supplementation on the first characteristic points to obtain first supplementing characteristic points, and simultaneously carrying out second point supplementation on the second characteristic points to obtain second supplementing characteristic points;
performing performance analysis on the first supplementary feature points and the second supplementary feature points to obtain performance prediction data;
comparing the performance prediction data with the performance data of the corresponding cargo ship, and if the performance prediction data and the performance data are consistent, carrying out retention analysis on the performance data;
if the two are inconsistent, determining whether the performance characteristic prediction of the predicted data is superior to the performance characteristic prediction of the corresponding performance data;
if yes, reserving the corresponding prediction data and taking the corresponding prediction data as an optimization reference of the corresponding performance data;
otherwise, carrying out retention analysis on the performance data;
in this embodiment, the first feature point is obtained by randomly screening half of the model value points for the reserved model value points, and the second feature point is obtained by selecting the half of the model value points as boundary points in the profile of the cargo ship curve on the second portion.
In this embodiment, the ship replenishment mechanism refers to a mechanism that requires replenishment when the number of feature points is less than a preset value.
The beneficial effects of the technical scheme are as follows: the characteristic points are determined, the characteristic points are supplemented based on a cargo ship supplementing mechanism, performance prediction is carried out on the characteristic points, performance prediction data are compared with cargo ship performance data, more accurate performance data are obtained, accuracy of the cargo ship performance data is improved, and a foundation is laid for acquisition of subsequent performance characteristics.
Example 5
Based on embodiment 4, based on a cargo ship supplementing mechanism, the first point supplementing is performed on the first feature point, so as to obtain a first supplementing feature point, which includes:
judging whether the distance between two adjacent first characteristic points is smaller than a first preset value, if so, reserving the corresponding first characteristic points, and not carrying out point supplement between the two adjacent characteristic points;
if not smaller than the first connecting straight line and the first contour curve of two adjacent first feature points are determined, and a first middle intersection point is obtained according to a first transverse middle line and a first longitudinal middle line of the first connecting straight line and the first contour curve;
determining a first area of an upper region and a second area of a lower region formed by the first intermediate intersection point, a first intersection point of the first intermediate intersection point and the first connecting straight line and the first contour curve, and a second intersection point of the first connecting straight line and the first contour curve;
when the first area is larger than the second area, performing first movement on the first intermediate intersection point to obtain a first determination point;
when the first area is smaller than the second area, performing second movement on the first intermediate intersection point to obtain a second determination point;
when the first area is equal to the second area, keeping the position of the first intermediate intersection point unchanged and taking the first intermediate intersection point as a third determination point;
and taking the corresponding determined point as a first supplementary point of the first characteristic point;
and obtaining the first supplementary feature points based on all the first supplementary points and the corresponding first feature points.
In this embodiment, the first profile curve refers to a curve in which two adjacent first feature points are connected on the profile of the cargo ship, the first transverse intermediate line refers to an intermediate line between the first connecting line and the first profile curve, the first longitudinal line is a line perpendicular to the first transverse intermediate line and passing through the intermediate point of the first connecting line, and the intersection point of the first transverse intermediate line and the first longitudinal intermediate line is a first intermediate intersection point.
In this embodiment, the first area refers to an area surrounded by a line connecting the first intermediate intersection point and the first intersection point and the second intersection point and the first connecting line, and the second area refers to an area surrounded by a line connecting the first intermediate intersection point and the first intersection point and the second intersection point and the first contour line.
The beneficial effects of the technical scheme are as follows: the characteristic points are supplemented based on a cargo ship supplementing mechanism, so that a characteristic point supplementing method is provided, a supplementing method is provided for the condition of insufficient characteristic points, and the accuracy of cargo ship performance data prediction by using the characteristic points in the follow-up process is improved.
Example 6
Based on embodiment 5, when the first area is greater than the second area, performing a first movement on the first intermediate intersection point to obtain a first determination point, including:
acquiring an area difference value between the first area and the second area, simultaneously calculating the total area of the first area and the second area, and acquiring an area average value;
determining a mean line in a surrounding area formed by the first connecting straight line and the first contour curve based on the area mean value, the first intersection point and the second intersection point;
and screening a first point closest to the first intermediate intersection point from the mean value line, and moving the first intermediate intersection point to the first point.
In this embodiment, the mean line is a line in the area enclosed by the first connecting straight line and the first contour line, and equally divides the enclosed area into two areas of equal area.
In this embodiment, the shortest distance from the point to the line is determined by calculating the distance between the first intermediate intersection point and the mean line, and the first point is obtained.
The beneficial effects of the technical scheme are as follows: and by determining the mean value line, the moving point of the first intermediate intersection point is determined by the point on the mean value line with the shortest distance from the first intermediate intersection point, so that the required characteristic point is more accurately obtained, and the accuracy of carrying out cargo ship performance data prediction by using the characteristic point in the follow-up process is improved.
Example 7
Based on example 1, determining the adaptive relationship between the cargo ship profile characteristics and the performance characteristics of each cargo ship in the same classification result includes:
constructing an actual mapping relation between the profile characteristics and the performance characteristics of each cargo ship in the same classification result, and simultaneously extracting ideal profile characteristics and ideal performance characteristics of the cargo ships which are consistent with the corresponding classification and are in the same tonnage from a preset database;
establishing an ideal mapping relation between the ideal molded line characteristics and the ideal performance characteristics;
determining the matching degree of the actual mapping relation and the ideal mapping relation, and further obtaining the first adaptability of the corresponding cargo ship;
the first adaptability is a corresponding adaptability relation.
In this embodiment, the profile features and performance features of each cargo ship are in one-to-one correspondence to form a mapping relationship.
In this embodiment, the desired profile characteristics, as well as the desired performance characteristics, are pre-set.
In this embodiment, the matching degree is the matching degree of the performance characteristic obtained by bringing the actual molded line characteristic of the cargo ship into the ideal mapping relation and the actual performance characteristic of the cargo ship.
The beneficial effects of the technical scheme are as follows: the first adaptability of the corresponding cargo ship is obtained by further matching the actual mapping relation with the ideal mapping relation by determining the actual mapping relation and the rational mapping relation of the cargo ship molded line characteristics and the performance characteristics, and a foundation is laid for the subsequent adjustment of the adaptability relation of the cargo ship.
Example 8
Based on embodiment 1, according to the line-performance optimization principle, the adaptive relationship corresponding to each cargo ship in the same classification result is adjusted until the optimal adaptive constraint is satisfied, so that the cargo ship performance of the corresponding cargo ship is optimal, including:
extracting molded line features and performance features of the cargo ships with the same tonnage levels in the same classification result, comparing the molded line features of the cargo ships with the same tonnage levels to obtain a first feature matrix, and comparing the performance features of the cargo ships with the same tonnage levels to obtain a second feature matrix;
acquiring a first ideal vector related to the first feature matrix, generating a cargo ship molded line feature difference array sequence corresponding to the same tonnage level, acquiring a second ideal matrix related to the second feature matrix, and generating a performance feature difference array sequence corresponding to the same tonnage level;
determining a first value of a corresponding difference array based on each of the sequence of profile feature difference arrays;
determining a second value of the corresponding difference array based on each performance feature difference array in the sequence of performance feature difference arrays;
according to all the obtained first values, constructing to-be-adjusted molded line vectors, and according to all the obtained second values, constructing to-be-adjusted performance vectors;
based on a first difference vector between the first ideal vector and the molded line vector to be adjusted and a second difference vector between the second ideal vector and the performance vector to be adjusted, adjusting the first adaptability of each cargo ship in the same classification result;
according to the line-performance optimal principle, obtaining optimal adaptation constraint matched with the corresponding tonnage level in the corresponding classification result;
when the adjustment result meets the corresponding optimal adaptation constraint, acquiring a performance adjustment result of the corresponding cargo ship;
otherwise, calibrating the cargo ships which do not meet the corresponding optimal adaptation constraint, and continuously adjusting the corresponding cargo ships according to the difference between the adjustment result and the corresponding optimal adaptation constraint until the corresponding optimal adaptation constraint is met.
In this embodiment, the first feature matrix is obtained based on the comparison of corresponding features of molded lines of cargo ships of the same tonnage level, and the second feature matrix is obtained based on the comparison of corresponding features of performance features of cargo ships of the same tonnage level.
In this embodiment, the ship profile characteristic difference array sequence is obtained by comparing characteristic differences of different ships at the same tonnage level, the performance characteristic difference array sequence is obtained by comparing performance characteristic differences of different ships at the same tonnage level, and the second ideal matrix is obtained in advance based on a preset.
In this embodiment, the first value is obtained by adding the number of the difference arrays in each of the profile feature difference arrays, and the second value is obtained by adding the number of the difference arrays in each of the performance feature difference arrays.
In this embodiment, the line to be adjusted vector is based on the value of the first value and the performance to be adjusted vector is based on the value of the second value.
In this embodiment, the first difference vector is a band obtained by subtracting the corresponding value of the first ideal vector and the vector to be adjusted of the molded line, and the second difference vector is a band obtained by subtracting the corresponding value of the second ideal vector and the vector to be adjusted of the performance.
The beneficial effects of the technical scheme are as follows: and according to the profile characteristic difference array and the performance characteristic difference array of the constructed cargo ship, obtaining a profile to-be-adjusted vector, adjusting the first adaptability of the cargo ship, obtaining optimal constraint according to a profile-performance optimal principle, obtaining a cargo ship performance adjustment result, and improving the performance data of the cargo ship.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (5)
1. A method for generating a profile lineage of a cargo ship in the middle and downstream of the Yangtze river, comprising:
step 1: acquiring cargo ship profile data and performance data from a cargo ship type database in the middle and lower reaches of the Yangtze river, and classifying the cargo ship profile data and the performance data according to the cargo ship type;
step 2: extracting the profile characteristics and performance characteristics of each cargo ship in the same classification result;
step 3: determining the adaptability relationship between the profile characteristics and the performance characteristics of each cargo ship in the same classification result;
step 4: according to the principle of line-performance optimization, adjusting the adaptability relation corresponding to each cargo ship in the same classification result until the optimal adaptability constraint is met, so that the cargo ship performance of the corresponding cargo ship is optimal;
step 5: acquiring the latest molded line of the cargo ship corresponding to the optimal performance, and generating a molded line pedigree of the cargo ship in the middle and lower reaches of the Yangtze river;
in step 2, extracting the profile characteristics and performance characteristics of each cargo ship in the same classification result, including:
constructing a corresponding cargo ship three-dimensional model according to cargo ship molded line data of each cargo ship in the same classification result, and projecting the cargo ship three-dimensional model into a preset three-dimensional coordinate system;
extracting a first part below a design waterline and a second part above the design waterline of a corresponding cargo ship based on a projection result in the preset three-dimensional coordinate system;
extracting a first profile parameter of the first portion and extracting a second profile parameter of the second portion;
based on the first molded line parameter, a first molded line characteristic is obtained, and based on the second molded line parameter, a second molded line characteristic is obtained;
determining a draft portion of a corresponding cargo ship based on a design waterline during driving, and determining a first duty ratio of the draft portion based on a first portion and a second duty ratio based on a second portion;
extracting a related first use parameter from the first part and a related second use parameter from the second part according to the first duty ratio result and the second duty ratio result and combining the third duty ratio of the draft part to the first part and the second part;
obtaining a third molded line feature based on the first use parameter and the second use parameter;
optimizing the first profile characteristic and the second profile characteristic based on the third profile characteristic to obtain a cargo ship profile characteristic of a corresponding cargo ship;
meanwhile, extracting characteristic points in the first part and the second part, and comparing performance prediction data corresponding to the characteristic points with performance data of corresponding cargo ships;
obtaining performance characteristics of the corresponding cargo ship based on the performance comparison result and the performance analysis model;
wherein, confirm the adaptability of the characteristic of the profile of the cargo ship of each cargo ship in the same classification result with characteristic of performance, include:
constructing an actual mapping relation between the profile characteristics and the performance characteristics of each cargo ship in the same classification result, and simultaneously extracting ideal profile characteristics and ideal performance characteristics of the cargo ships which are consistent with the corresponding classification and are in the same tonnage from a preset database;
establishing an ideal mapping relation between the ideal molded line characteristics and the ideal performance characteristics;
determining the matching degree of the actual mapping relation and the ideal mapping relation, and further obtaining the first adaptability of the corresponding cargo ship;
the first adaptability is a corresponding adaptability relation;
according to the principle of line-performance optimization, the adaptability relation corresponding to each cargo ship in the same classification result is adjusted until the optimal adaptability constraint is met, so that the cargo ship performance of the corresponding cargo ship is optimal, and the method comprises the following steps:
extracting molded line features and performance features of the cargo ships with the same tonnage levels in the same classification result, comparing the molded line features of the cargo ships with the same tonnage levels to obtain a first feature matrix, and comparing the performance features of the cargo ships with the same tonnage levels to obtain a second feature matrix;
acquiring a first ideal vector related to the first feature matrix, generating a cargo ship molded line feature difference array sequence corresponding to the same tonnage level, acquiring a second ideal vector related to the second feature matrix, and generating a performance feature difference array sequence corresponding to the same tonnage level;
determining a first value of a corresponding difference array based on each of the sequence of profile feature difference arrays;
determining a second value of the corresponding difference array based on each performance feature difference array in the sequence of performance feature difference arrays;
according to all the obtained first values, constructing to-be-adjusted molded line vectors, and according to all the obtained second values, constructing to-be-adjusted performance vectors;
based on a first difference vector between the first ideal vector and the molded line vector to be adjusted and a second difference vector between the second ideal vector and the performance vector to be adjusted, adjusting the first adaptability of each cargo ship in the same classification result;
according to the line-performance optimal principle, obtaining optimal adaptation constraint matched with the corresponding tonnage level in the corresponding classification result;
when the adjustment result meets the corresponding optimal adaptation constraint, acquiring a performance adjustment result of the corresponding cargo ship;
otherwise, calibrating the cargo ships which do not meet the corresponding optimal adaptation constraint, and continuously adjusting the corresponding cargo ships according to the difference between the adjustment result and the corresponding optimal adaptation constraint until the corresponding optimal adaptation constraint is met.
2. The method for generating a profile of a cargo ship in the middle and downstream of the Yangtze river according to claim 1, wherein in step 1, cargo ship profile data and performance data are obtained from a cargo ship profile database in the middle and downstream of the Yangtze river, and the cargo ship profile data and the performance data are classified according to cargo ship types, comprising:
acquiring a ship type file of each cargo ship from a ship type database of the cargo ship in the middle and lower reaches of the Yangtze river, and acquiring corresponding cargo ship molded line data and performance data according to the ship type file;
and determining the type of the cargo ship based on the loading object, and classifying all obtained cargo ship molded line data and performance data based on the type of the cargo ship.
3. The method of claim 1, wherein extracting feature points in the first and second portions and comparing performance prediction data corresponding to the feature points with performance data of a corresponding cargo ship comprises:
acquiring a first curve contour of the first part, determining a model value point as a first characteristic point, and screening key points on a second curve contour of the second part as a second characteristic point;
based on a cargo ship supplementing mechanism, carrying out first point supplementation on the first characteristic points to obtain first supplementing characteristic points, and simultaneously carrying out second point supplementation on the second characteristic points to obtain second supplementing characteristic points;
performing performance analysis on the first supplementary feature points and the second supplementary feature points to obtain performance prediction data;
comparing the performance prediction data with the performance data of the corresponding cargo ship, and if the performance prediction data and the performance data are consistent, carrying out retention analysis on the performance data;
if the two are inconsistent, determining whether the performance characteristic prediction of the predicted data is superior to the performance characteristic prediction of the corresponding performance data;
if yes, reserving the corresponding prediction data and taking the corresponding prediction data as an optimization reference of the corresponding performance data;
otherwise, carrying out retention analysis on the performance data.
4. A method of generating a profile of a cargo ship downstream in the Yangtze river as claimed in claim 3, wherein said first point supplementing the first feature point based on a cargo ship supplementing mechanism to obtain a first supplemented feature point comprises:
judging whether the distance between two adjacent first characteristic points is smaller than a first preset value, if so, reserving the corresponding first characteristic points, and not carrying out point supplement between the two adjacent characteristic points;
if not smaller than the first connecting straight line and the first contour curve of two adjacent first feature points are determined, and a first middle intersection point is obtained according to a first transverse middle line and a first longitudinal middle line of the first connecting straight line and the first contour curve;
determining a first area of an upper region and a second area of a lower region formed by the first intermediate intersection point, a first intersection point of the first intermediate intersection point and the first connecting straight line and the first contour curve, and a second intersection point of the first connecting straight line and the first contour curve;
when the first area is larger than the second area, performing first movement on the first intermediate intersection point to obtain a first determination point;
when the first area is smaller than the second area, performing second movement on the first intermediate intersection point to obtain a second determination point;
when the first area is equal to the second area, keeping the position of the first intermediate intersection point unchanged and taking the first intermediate intersection point as a third determination point;
and taking the corresponding determined point as a first supplementary point of the first characteristic point;
and obtaining the first supplementary feature points based on all the first supplementary points and the corresponding first feature points.
5. The method of claim 4, wherein moving the first intermediate intersection upward when the first area is greater than the second area to obtain a first determined point comprises:
acquiring an area difference value between the first area and the second area, simultaneously calculating the total area of the first area and the second area, and acquiring an area average value;
determining a mean line in a surrounding area formed by the first connecting straight line and the first contour curve based on the area mean value, the first intersection point and the second intersection point;
and screening a first point closest to the first intermediate intersection point from the mean value line, and moving the first intermediate intersection point to the first point.
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