CN115688273A - Method for generating model line pedigree of cargo ship in middle and lower reaches of Yangtze river - Google Patents
Method for generating model line pedigree of cargo ship in middle and lower reaches of Yangtze river Download PDFInfo
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- CN115688273A CN115688273A CN202211332428.7A CN202211332428A CN115688273A CN 115688273 A CN115688273 A CN 115688273A CN 202211332428 A CN202211332428 A CN 202211332428A CN 115688273 A CN115688273 A CN 115688273A
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Abstract
The invention provides a method for generating a model line pedigree of a freighter in the middle and lower reaches of Yangtze river. The method comprises the following steps: the method comprises the steps of obtaining cargo ship type line data and performance data from a cargo ship type database of the downstream cargo ships in the Yangtze river, and classifying the cargo ship type line data and the performance data according to the cargo ship type; extracting the cargo ship type line characteristics and the performance characteristics of each cargo ship in the same classification result; determining the adaptive relation between the type line characteristic and the performance characteristic of each cargo ship in the same classification result; according to the molded line-performance optimization principle, adjusting the corresponding adaptive relation of each cargo ship in the same classification result until the optimal adaptive 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 line of the corresponding cargo ship based on the optimal performance is obtained, the molded line pedigree 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 type pedigree of the cargo ship molded line design is provided, and a foundation is laid for the subsequent 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 model line pedigree of a cargo ship in the middle and lower reaches of Yangtze river.
Background
At present, the shipping industry in China is developed vigorously, and the shipping volume of water transportation is increased day by day. The cargo handling capacity of the region in the middle and lower reaches of the Yangtze river as a main freight channel in China is not negligible. It is necessary to design a cargo line suitable for shipping in the middle and lower reaches of the Yangtze river.
The source of ship design is profile design, which affects most of the performance of ships. In the past, the design of ship molded lines is designed for each ship independently, the design mode is high in cost and long in design period, the performance of a finally designed finished product is not optimal, and the development of the ship industry is hindered to a certain extent.
Therefore, the invention provides a method for generating the model lineages of the freighter at the middle and lower reaches of the Yangtze river.
Disclosure of Invention
The invention provides a method for generating a model line pedigree of a cargo ship in the middle and lower reaches of the Yangtze river, which is used for determining an adaptive relation between the model line characteristic and the performance characteristic of the corresponding cargo ship by acquiring the current model line data and the performance data of the cargo ship in the middle and lower reaches of the Yangtze river, adjusting the adaptive relation to the adaptive relation according to the model line-performance optimal principle to enable the performance of the corresponding cargo ship to be optimal, and finally generating the model line pedigree of the cargo ship in the middle and lower reaches of the Yangtze river based on the latest model line of the corresponding cargo ship with the optimal performance.
The invention provides a method for generating a model line pedigree of a cargo ship at the middle and lower reaches of Yangtze river, which comprises the following steps:
step 1: the method comprises the steps of obtaining contour data and performance data of a cargo ship from a cargo ship type database of a cargo ship at the middle and lower reaches of the Yangtze river, and classifying the contour data and the performance data of the cargo ship according to the type of the cargo ship;
and 2, step: extracting the cargo ship profile characteristics and the performance characteristics of each cargo ship in the same classification result;
and step 3: determining the adaptive relationship between the type line characteristic and the performance characteristic of each cargo ship in the same classification result;
and 4, step 4: according to the molded line-performance optimization principle, adjusting the corresponding adaptive relation of each cargo ship in the same classification result until the optimal adaptive constraint is met, so that the cargo ship performance of the corresponding cargo ship is optimal;
and 5: and acquiring the latest molded line of the corresponding cargo ship based on the optimal performance, and generating the molded line pedigree of the cargo ship at the middle and lower reaches of the Yangtze river.
Preferably, in the step 1, the method for generating the model line pedigree of the cargo ship at the middle and the lower reaches of the Yangtze river includes the steps of obtaining the cargo ship model line data and the performance data from the cargo ship model database at the middle and the lower reaches of the Yangtze river, and classifying the cargo ship model line data and the performance data according to the cargo ship model, including:
acquiring a ship type file of each cargo ship from a ship type database of the cargo ships at the middle and lower reaches of the Yangtze river, and acquiring corresponding cargo ship type line data and performance data according to the ship type file;
determining the type of the cargo ship based on the loads, and classifying all the obtained cargo ship type line data and performance data based on the cargo ship type.
Preferably, in step 2, the method for generating the model line pedigree of the cargo ship at the middle and lower reaches of the Yangtze river extracts the model line characteristic and the performance characteristic of each cargo ship in the same classification result, and includes:
constructing a corresponding three-dimensional model of the cargo ship according to the cargo ship profile data of each cargo ship in the same classification result, and projecting the three-dimensional model of the cargo ship into a preset three-dimensional coordinate system;
extracting a first part below a design waterline and a second part above the design waterline of the corresponding cargo ship based on the projection result in the preset three-dimensional coordinate system;
extracting a first profile parameter of the first part and extracting a second profile parameter of the second part;
obtaining a first profile characteristic based on the first profile parameter, and obtaining a second profile characteristic based on the second profile parameter;
determining a draft part of a corresponding cargo ship based on a design water line during driving, and determining a first proportion of the draft part based on a first part and a second proportion based on a second part;
extracting relevant first use parameters from the first part and relevant second use parameters from the second part according to the first proportion result and the second proportion result and combining the water-containing part with the third proportion of the first part and the second part;
obtaining a third molded line characteristic 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;
simultaneously, extracting characteristic points in the first part and the second part, and comparing the performance prediction data corresponding to the characteristic points with the performance data of the corresponding cargo ship;
and obtaining the performance characteristics of the corresponding cargo ship based on the performance comparison result and the performance analysis model.
Preferably, the method for generating the model line pedigree of the cargo ship at the middle and lower reaches of the Yangtze river extracts the characteristic points in the first part and the second part, and compares the performance prediction data corresponding to the characteristic points with the performance data of the corresponding cargo ship in terms of performance includes:
acquiring a first curve contour of the first part, determining a type value point as a first characteristic point, and screening a key point on a second curve contour of the second part as a second characteristic point;
based on a cargo ship supplement mechanism, performing first point supplement on the first characteristic points to obtain first supplement characteristic points, and performing second point supplement on the second characteristic points to obtain second supplement 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 of the performance prediction data with the performance data of the corresponding cargo ship, and if the performance prediction data is consistent with the performance data of the corresponding cargo ship, performing retention analysis on the performance data;
if the performance characteristic prediction of the predicted data is not better than the performance characteristic prediction of the corresponding performance data, determining whether the performance characteristic prediction of the predicted data is better than the performance characteristic prediction of the corresponding performance data;
if so, reserving the corresponding prediction data, and using the corresponding prediction data as an optimization reference of the corresponding performance data;
otherwise, performing retention analysis on the performance data;
preferably, the method for generating the model line pedigree of the cargo ship at the middle and lower reaches of the Yangtze river, based on a cargo ship replenishment mechanism, performing first point replenishment on the first characteristic point to obtain a first replenishment characteristic point, includes:
judging whether the distance between two adjacent first feature points is smaller than a first preset value or not, if so, reserving the corresponding first feature points, and not performing point supplementation between the two corresponding adjacent feature points;
if not, determining a first connecting straight line and a first contour curve of two adjacent first characteristic points, and acquiring a first middle intersection point 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 middle intersection point, a first intersection point of 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, carrying out first movement on the first middle intersection point to obtain a first determination point;
when the first area is smaller than the second area, carrying out second movement on the first middle intersection point to obtain a second determination point;
when the first area is equal to the second area, keeping the position of the first middle intersection point unchanged, and using the position as a third determination point;
and the corresponding determined point is taken as a first supplementary point of the first characteristic point;
and obtaining first supplementary feature points based on all the first supplementary points and the corresponding first feature points.
Preferably, when the first area is larger than the second area, the method for generating the model line pedigree of the freighter at the middle and lower reaches of the Yangtze river moves the first intermediate intersection point upwards to obtain a first determined point, and includes:
obtaining an area difference value between the first area and the second area, meanwhile, calculating the total area of the first area and the second area, and obtaining an area average value;
determining a mean line in an enclosed area composed of the first connecting straight line and the first contour curve based on the area mean, the first intersection point and the second intersection point;
and screening a first point which is closest to the first intermediate intersection point from the mean line, and moving the first intermediate intersection point to the first point.
Preferably, the method for generating the model line pedigree of the cargo ship at the middle and lower reaches of the Yangtze river determines the adaptive relationship between the model line characteristic and the performance characteristic of each cargo ship in the same classification result, and comprises the following steps:
constructing an actual mapping relation between the type line characteristics and the performance characteristics of each cargo ship in the same classification result, and extracting ideal type line characteristics and ideal performance characteristics of the cargo ships with the same tonnage, which are consistent with the corresponding classification, from a preset database;
establishing an ideal mapping relation between the ideal profile characteristics and the ideal performance characteristics;
determining the matching degree of the actual mapping relation and the ideal mapping relation so as to obtain the first adaptability of the corresponding cargo ship;
wherein the first adaptability is a corresponding adaptability relationship.
Preferably, the method for generating the model line pedigree of the cargo ship at the middle and lower reaches of the Yangtze river adjusts the adaptive relationship corresponding to each cargo ship in the same classification result according to the model line-performance optimization principle until the optimal adaptive constraint is met, so that the cargo ship performance of the corresponding cargo ship is optimal, and comprises the following steps:
the method comprises the steps of extracting the molded line characteristics and the performance characteristics of the cargo ship of the same tonnage grade in the same classification result, comparing the molded line characteristics of the cargo ship of the same tonnage grade to obtain a first characteristic matrix, and comparing the performance characteristics of the cargo ship of the same tonnage grade to obtain a second characteristic matrix;
acquiring a first ideal vector related to the first characteristic matrix, generating a cargo ship profile characteristic difference array sequence corresponding to the same tonnage level, acquiring a second ideal matrix related to the second characteristic matrix, and generating a performance characteristic difference array sequence corresponding to the same tonnage level;
determining a first numerical value of a corresponding difference array based on each molded line feature difference array in the molded line feature difference array sequence;
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 numerical values, a molded line vector to be adjusted is constructed and obtained, and according to all the obtained second numerical values, a performance vector to be adjusted is constructed and obtained;
adjusting the first adaptability of each cargo ship in the same classification result based on a first difference vector of the first ideal vector and the vector to be adjusted for molded line and a second difference vector of the second ideal vector and the vector to be adjusted for performance;
acquiring optimal adaptive constraint matched with the same tonnage grade in the corresponding same classification result according to the molded line-performance optimal principle;
when the adjusting result meets the corresponding optimal adaptive constraint, acquiring a performance adjusting result of the corresponding cargo ship;
otherwise, the cargo ship which does not meet the corresponding optimal adaptive constraint is calibrated, and the corresponding cargo ship is continuously adjusted according to the difference between the adjustment result and the corresponding optimal adaptive constraint until the corresponding optimal adaptive 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 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 cargo ship at the middle and lower reaches of Yangtze river according to an 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 method for generating a model line pedigree of a cargo ship at the middle and lower reaches of Yangtze river, which comprises the following steps of:
step 1: the method comprises the steps of obtaining cargo ship type line data and performance data from a cargo ship type database of the downstream cargo ships in the Yangtze river, and classifying the cargo ship type line data and the performance data according to the cargo ship type;
step 2: extracting the cargo ship profile characteristics and the performance characteristics of each cargo ship in the same classification result;
and step 3: determining the adaptive relation between the type line characteristic and the performance characteristic of each cargo ship in the same classification result;
and 4, step 4: according to the molded line-performance optimization principle, adjusting the corresponding adaptive relation of each cargo ship in the same classification result until the optimal adaptive constraint is met, so that the cargo ship performance of the corresponding cargo ship is optimal;
and 5: and acquiring the latest molded line of the corresponding cargo ship based on the optimal performance, and generating the molded line pedigree of the cargo ship at the middle and lower reaches of the Yangtze river.
In this embodiment, the ship profile data includes profiles characterizing the structure of the ship hull, which typically include: cross hatching, longitudinal hatching, half waterlines, design waterlines, etc., and cargo ship types include bulk carriers, containers, tanker ships, etc.
In this embodiment, the profile characteristics include profile parameters and profile characteristic points, and the performance characteristics include stability performance, hydrodynamic performance, and the like.
In this embodiment, the adaptive relationship refers to a mapping relationship between the cargo ship type line characteristic and the performance characteristic.
In this embodiment, the optimal adaptive constraint refers to the maximum water holding capacity obtained under the premise of optimal stability.
The beneficial effects of the above technical scheme are: the method comprises the steps of determining an adaptive relation between the corresponding cargo ship profile characteristic and the performance characteristic by obtaining the existing cargo ship profile data and the performance data of the middle and lower reaches of the Yangtze river, adjusting the adaptive relation according to the profile-performance optimization principle to the adaptive relation to optimize the performance of the corresponding cargo ship, and finally generating a cargo ship profile pedigree of the middle and lower reaches of the Yangtze river based on the latest profile of the cargo ship corresponding to the optimal performance.
Example 2
Based on embodiment 1, in step 1, obtaining the cargo ship type data and the performance data from the cargo ship type database of the downstream cargo ships in the Yangtze river, and classifying the cargo ship type data and the performance data according to the cargo ship type includes:
acquiring a ship type file of each cargo ship from a ship type database of the cargo ships at the middle and lower reaches of the Yangtze river, and acquiring corresponding cargo ship type line data and performance data according to the ship type file;
determining the type of the cargo ship based on the loads, and classifying all the obtained cargo ship type line data and performance data based on the cargo ship type.
The beneficial effects of the above technical scheme are: the method comprises the steps of obtaining a ship type file of a cargo ship through a cargo ship type database, obtaining molded line data and performance data of the corresponding cargo ship, classifying all the obtained molded line data and performance data of the cargo ship based on the cargo ship type, and laying a foundation for subsequently extracting molded line features and performance features of the cargo ship of the same type.
Example 3
Based on the embodiment 1, in the step 2, the step of extracting the cargo ship type line characteristic and the performance characteristic of each cargo ship in the same classification result includes:
constructing a corresponding three-dimensional model of the cargo ship according to the cargo ship profile data of each cargo ship in the same classification result, and projecting the three-dimensional model of the cargo ship into a preset three-dimensional coordinate system;
extracting a first part below a design waterline and a second part above the design waterline of the corresponding cargo ship based on the 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;
obtaining a first profile characteristic based on the first profile parameter, and obtaining a second profile characteristic based on the second profile parameter;
determining a draft part of a corresponding cargo ship based on a design water line during driving, and determining a first proportion of the draft part based on a first part and a second proportion based on a second part;
extracting relevant first use parameters from the first part and relevant second use parameters from the second part according to the first proportion result and the second proportion result and combining the water-containing part with the third proportion of the first part and the second part;
obtaining a third molded line characteristic 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 the performance prediction data corresponding to the characteristic points with the performance data of the corresponding cargo ship;
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 midline plane, the middle base plane, and the base plane are taken as coordinate planes, an intersection of the midline plane and the base plane is taken as an X-axis, an intersection of the middle station plane and the base plane is taken as a Y-axis, and an intersection of the midline plane and the middle station 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 parting line, and the second profile parameter refers to a dimension parameter and a position parameter of the second parting line.
In this embodiment, the first profile characteristic refers to a volume of water displaced, a cross-sectional area, etc. of the first portion calculated based on the first profile parameter, and the second profile characteristic refers to a volume of water displaced, a cross-sectional area, etc. of the second portion calculated based on the second profile parameter.
In this embodiment, the draft part is determined by determining the draft part of the cargo ship when the cargo ship is empty through a three-dimensional model, the first ratio is the ratio of the volume of the draft part to the volume of the first part, and the second ratio is the ratio of the volume of the draft part to the volume of the second part.
In this embodiment, the third ratio is the ratio of the volume of the draught part to the total volume of the first part and the second part, and the first usage parameter is a partial value of the first profile parameter. The second use parameter is a partial value of the father-sun-type line parameter.
In this embodiment, the third profile characteristic is obtained by performing matching calculation according to the first usage parameter and the second usage parameter.
In this embodiment, the feature points are extracted based on the type value points and the key points of 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 above technical scheme are: the method comprises the steps of obtaining the molded line parameters and the molded line characteristics of each part of the cargo ship by constructing a three-dimensional model of the cargo ship and projecting the three-dimensional model to a three-dimensional coordinate system, obtaining the molded line characteristics of the corresponding cargo ship based on the optimization of the molded line characteristics of each part, 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 basis for the follow-up determination of the adaptive 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 part and the second part, and performing performance comparison on performance prediction data corresponding to the feature points and performance data of a corresponding cargo ship, wherein the performance comparison comprises the following steps:
acquiring a first curve contour of the first part, determining a type value point as a first characteristic point, and screening a key point on a second curve contour of the second part as a second characteristic point;
based on a cargo ship supplement mechanism, performing first point supplement on the first characteristic points to obtain first supplement characteristic points, and performing second point supplement on the second characteristic points to obtain second supplement 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 of the performance prediction data with the performance data of the corresponding cargo ship, and if the performance prediction data is consistent with the performance data of the corresponding cargo ship, performing retention analysis on the performance data;
if the performance characteristic prediction of the predicted data is not better than the performance characteristic prediction of the corresponding performance data, determining whether the performance characteristic prediction of the predicted data is better than the performance characteristic prediction of the corresponding performance data;
if so, reserving the corresponding prediction data, and using the corresponding prediction data as an optimization reference of the corresponding performance data;
otherwise, performing retention analysis on the performance data;
in this embodiment, the first feature point is obtained by randomly screening the model value points to retain half of the model value points, and the second feature point is obtained by selecting as a boundary point in the curve profile of the cargo ship on the second portion.
In this embodiment, the cargo ship replenishment mechanism is a mechanism that needs replenishment when the number of feature points is less than a preset value.
The beneficial effects of the above technical scheme are: by determining the characteristic points, supplementing the characteristic points based on a cargo ship supplementing mechanism, predicting the performance of the characteristic points, and comparing the performance prediction data with the cargo ship performance data, more accurate performance data is obtained, the accuracy of the cargo ship performance data is improved, and a foundation is laid for obtaining subsequent performance characteristics.
Example 5
Based on embodiment 4, based on a cargo ship replenishment mechanism, performing first point replenishment on the first feature point to obtain a first replenishment feature point, including:
judging whether the distance between two adjacent first feature points is smaller than a first preset value or not, if so, reserving the corresponding first feature points, and not performing point supplementation between the two corresponding adjacent feature points;
if not, determining a first connecting straight line and a first contour curve of two adjacent first characteristic points, and acquiring a first middle intersection point 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 which are formed by the first middle intersection point, a first intersection point of 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, carrying out first movement on the first middle intersection point to obtain a first determination point;
when the first area is smaller than the second area, carrying out second movement on the first middle intersection point to obtain a second determination point;
when the first area is equal to the second area, keeping the position of the first middle intersection point unchanged, and using the position as a third determination point;
and the corresponding determined point is taken as a first supplementary point of the first characteristic point;
and obtaining first supplementary feature points based on all the first supplementary points and the corresponding first feature points.
In this embodiment, the first contour curve refers to a curve where two adjacent first feature points are connected on the contour of the cargo ship, the first transverse middle line refers to a middle line of the first connecting straight line and the first contour curve, the first longitudinal straight line is a straight line perpendicular to a middle point of the first connecting straight line of the first transverse middle line, and an intersection point of the first transverse middle line and the first longitudinal middle line is a first middle intersection point.
In this embodiment, the first area refers to an area enclosed by a connection line between the first intermediate intersection point and the first intersection point and between the second intersection point and the first connection straight line, and the second area refers to an area enclosed by a connection line between the first intermediate intersection point and the first intersection point and between the second intersection point and the first contour curve.
The beneficial effects of the above technical scheme are: the characteristic points are supplemented based on a cargo ship supplement mechanism, a characteristic point supplement method is provided, a supplement method is provided for the condition that the characteristic points are insufficient, and the accuracy of cargo ship performance data prediction by using the characteristic points subsequently is improved.
Example 6
Based on embodiment 5, when the first area is larger than the second area, performing a first movement on the first intermediate intersection point to obtain a first determined point, including:
obtaining an area difference value between the first area and the second area, meanwhile, calculating the total area of the first area and the second area, and obtaining an area average value;
determining a mean line in an enclosed area composed of the first connecting straight line and the first contour curve based on the area mean, the first intersection point and the second intersection point;
and screening a first point which is closest to the first middle intersection point from the mean line, and moving the first middle 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 curve, and divides the enclosed area into two equal-area regions on average.
In this embodiment, the first point is obtained by calculating the distance between the first intermediate intersection and the mean line and determining the shortest distance from the point to the line.
The beneficial effects of the above technical scheme are: by determining the mean value line, the moving point of the first middle intersection point is determined by obtaining the point on the mean value line with the shortest distance from the first middle intersection point, the required characteristic point is more accurately obtained, and the accuracy of predicting the cargo ship performance data by using the characteristic point subsequently is improved.
Example 7
Based on the embodiment 1, determining the adaptive relationship between the type line characteristic and the performance characteristic of each cargo ship in the same classification result includes:
constructing an actual mapping relation between the type line characteristic and the performance characteristic of each cargo ship in the same classification result, and simultaneously extracting an ideal type line characteristic and an ideal performance characteristic of the cargo ship 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 profile characteristic and the ideal performance characteristic;
determining the matching degree of the actual mapping relation and the ideal mapping relation so as to obtain the first adaptability of the corresponding cargo ship;
wherein the first adaptability is a corresponding adaptability relationship.
In this embodiment, the profile characteristics and the performance characteristics of each cargo ship correspond to one another to form a mapping relationship.
In this embodiment, the desired profile characteristics and the desired performance characteristics are predetermined.
In this embodiment, the matching degree is the matching degree between the performance characteristic obtained by substituting the actual molded line characteristic of the cargo ship into the ideal mapping relationship and the actual performance characteristic of the cargo ship.
The beneficial effects of the above technical scheme are: the actual mapping relation and the rational mapping relation of the molded line characteristics and the performance characteristics of the cargo ship are determined, the actual mapping relation is further matched with the ideal mapping relation, the first adaptability of the corresponding cargo ship is obtained, and a foundation is laid for subsequently adjusting the adaptive relation of the cargo ship.
Example 8
Based on embodiment 1, according to the principle of optimal profile-performance, adjusting the adaptive relationship corresponding to each cargo ship in the same classification result until the optimal adaptive constraint is satisfied, so that the cargo ship performance of the corresponding cargo ship is optimal, including:
the method comprises the steps of extracting the molded line characteristics and the performance characteristics of the cargo ship with the same tonnage level in the same classification result, comparing the molded line characteristics of the cargo ship with the same tonnage level to obtain a first characteristic matrix, and comparing the performance characteristics of the cargo ship with the same tonnage level to obtain a second characteristic matrix;
acquiring a first ideal vector related to the first characteristic matrix, generating a cargo ship type line characteristic difference array sequence corresponding to the same tonnage level and a second ideal matrix related to the second characteristic matrix, and generating a performance characteristic difference array sequence corresponding to the same tonnage level;
determining a first numerical value of a corresponding difference array based on each molded line feature difference array in the molded line feature difference array sequence;
determining a second numerical value of a corresponding difference array based on each performance feature difference array in the performance feature difference array sequence;
according to all the obtained first numerical values, a molded line vector to be adjusted is constructed and obtained, and according to all the obtained second numerical values, a performance vector to be adjusted is constructed and obtained;
adjusting the first adaptability of each cargo ship in the same classification result based on a first difference vector of the first ideal vector and the vector to be adjusted for molded line and a second difference vector of the second ideal vector and the vector to be adjusted for performance;
acquiring optimal adaptive constraint matched with the same tonnage grade in the corresponding same classification result according to the molded line-performance optimal principle;
when the adjusting result meets the corresponding optimal adaptive constraint, acquiring a performance adjusting result of the corresponding cargo ship;
otherwise, the cargo ship which does not meet the corresponding optimal adaptive constraint is calibrated, and the corresponding cargo ship is continuously adjusted according to the difference between the adjustment result and the corresponding optimal adaptive constraint until the corresponding optimal adaptive constraint is met.
In this embodiment, the first characteristic matrix is obtained based on characteristic comparison of molded line characteristics of the cargo ship of the same tonnage class, and the second characteristic matrix is obtained based on characteristic comparison of performance characteristics of the cargo ship of the same tonnage class.
In this embodiment, the characteristic difference array sequence of the cargo ship type line is obtained by comparing characteristic differences of different cargo ships of the same tonnage level, the characteristic difference array sequence is obtained by comparing characteristic differences of different cargo ships of the same tonnage level, and the second ideal matrix is obtained in advance based on a preset matrix.
In this embodiment, the first value is obtained by adding the number of difference arrays in each profile characteristic difference array, and the second value is obtained by adding the number of difference arrays in each performance characteristic difference array.
In this embodiment, the profile to be adjusted vector is obtained based on the value of the first value, and the performance to be adjusted vector is obtained based on the value of the second value.
In this embodiment, the first difference vector is a band obtained by subtracting a corresponding value of the first ideal vector from a corresponding value of the profile to-be-adjusted vector, and the second difference vector is obtained by subtracting a corresponding value of the second ideal vector from a corresponding value of the performance to-be-adjusted vector.
The beneficial effects of the above technical scheme are: according to the molded line characteristic difference array and the performance characteristic difference array of the constructed cargo ship, a molded line to-be-adjusted vector is obtained, the first adaptability of the cargo ship is adjusted, optimal constraint is obtained according to the molded line-performance optimal principle, a cargo ship performance adjustment result is obtained, and performance data of the cargo ship are improved.
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 (8)
1. A method for generating a model line pedigree of a cargo ship in the middle and lower reaches of Yangtze river is characterized by comprising the following steps:
step 1: the method comprises the steps of obtaining cargo ship type line data and performance data from a cargo ship type database of the downstream cargo ships in the Yangtze river, and classifying the cargo ship type line data and the performance data according to the cargo ship type;
step 2: extracting the cargo ship type line characteristics and the performance characteristics of each cargo ship in the same classification result;
and 3, step 3: determining the adaptive relation between the type line characteristic and the performance characteristic of each cargo ship in the same classification result;
and 4, step 4: according to the molded line-performance optimization principle, adjusting the corresponding adaptive relation of each cargo ship in the same classification result until the optimal adaptive constraint is met, so that the cargo ship performance of the corresponding cargo ship is optimal;
and 5: and obtaining the latest molded line of the corresponding cargo ship based on the optimal performance, and generating the molded line pedigree of the cargo ship in the middle and lower reaches of Yangtze river.
2. The method according to claim 1, wherein the step 1 of obtaining the cargo ship type data and the performance data from the cargo ship type database of the downstream cargo ships in the Yangtze river, and classifying the cargo ship type data and the performance data according to the cargo ship type comprises:
acquiring a ship type file of each cargo ship from a ship type database of the cargo ships at the middle and lower reaches of the Yangtze river, and acquiring corresponding cargo ship type line data and performance data according to the ship type file;
determining the type of the cargo ship based on the loaded goods, and classifying all the obtained cargo ship type line data and performance data based on the cargo ship type.
3. The method as claimed in claim 1, wherein the step 2 of extracting the characteristic line and the performance characteristic of each cargo ship in the same classification result comprises:
constructing a corresponding three-dimensional model of the cargo ship according to the cargo ship type line data of each cargo ship in the same classification result, and projecting the three-dimensional model of the cargo ship into a preset three-dimensional coordinate system;
extracting a first part below a design waterline and a second part above the design waterline of the corresponding cargo ship based on the projection result in the preset three-dimensional coordinate system;
extracting a first profile parameter of the first part and extracting a second profile parameter of the second part;
obtaining a first profile characteristic based on the first profile parameter, and obtaining a second profile characteristic based on the second profile parameter;
determining a draft part based on a design water line during the driving process of a corresponding cargo ship, and determining a first proportion of the draft part based on a first part and a second proportion based on a second part;
extracting relevant first use parameters from the first part and relevant second use parameters from the second part according to the first proportion result and the second proportion result and combining the water-containing part with the third proportion of the first part and the second part;
obtaining a third molded line characteristic 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;
simultaneously, extracting characteristic points in the first part and the second part, and comparing the performance prediction data corresponding to the characteristic points with the performance data of the corresponding cargo ship;
and obtaining the performance characteristics of the corresponding cargo ship based on the performance comparison result and the performance analysis model.
4. The method for generating the model lineage of the cargo ship in the middle and downstream of the Yangtze river according to claim 3, wherein extracting the feature points in the first part and the second part, and performing the performance comparison between the performance prediction data corresponding to the feature points and the performance data of the corresponding cargo ship comprises:
acquiring a first curve contour of the first part, determining a type value point as a first characteristic point, and screening a key point on a second curve contour of the second part as a second characteristic point;
based on a cargo ship supplement mechanism, performing first point supplement on the first characteristic points to obtain first supplement characteristic points, and performing second point supplement on the second characteristic points to obtain second supplement 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 of the performance prediction data with the performance data of the corresponding cargo ship, and if the performance prediction data is consistent with the performance data of the corresponding cargo ship, performing retention analysis on the performance data;
if the performance characteristic prediction of the predicted data is not better than the performance characteristic prediction of the corresponding performance data, determining whether the performance characteristic prediction of the predicted data is better than the performance characteristic prediction of the corresponding performance data;
if so, reserving the corresponding prediction data, and using the corresponding prediction data as an optimization reference of the corresponding performance data;
otherwise, the performance data is reserved and analyzed.
5. The method as claimed in claim 4, wherein the step of performing a first point supplementation on the first characteristic point based on a cargo ship supplementation mechanism to obtain a first supplemented characteristic point comprises:
judging whether the distance between two adjacent first characteristic points is smaller than a first preset value or not, if so, reserving the corresponding first characteristic points, and not performing point supplementation between the two corresponding adjacent characteristic points;
if not, determining a first connecting straight line and a first contour curve of two adjacent first characteristic points, and acquiring a first middle intersection point 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 which are formed by the first middle intersection point, a first intersection point of 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, carrying out first movement on the first middle intersection point to obtain a first determination point;
when the first area is smaller than the second area, carrying out second movement on the first middle intersection point to obtain a second determination point;
when the first area is equal to the second area, keeping the position of the first middle intersection point unchanged, and using the position as a third determination point;
and taking the corresponding determined point as a first supplementary point of the first characteristic point;
and obtaining first supplementary characteristic points based on all the first supplementary points and the corresponding first characteristic points.
6. The method as claimed in claim 5, wherein moving the first intermediate intersection point upward when the first area is larger than the second area to obtain a first determined point comprises:
obtaining an area difference value between the first area and the second area, meanwhile, calculating the total area of the first area and the second area, and obtaining an area average value;
determining a mean line in an enclosed area composed of the first connecting straight line and the first contour curve based on the area mean, the first intersection point and the second intersection point;
and screening a first point which is closest to the first intermediate intersection point from the mean line, and moving the first intermediate intersection point to the first point.
7. The method as claimed in claim 1, wherein determining the adaptive relationship between the model line characteristic and the performance characteristic of each cargo ship in the same classification result comprises:
constructing an actual mapping relation between the type line characteristics and the performance characteristics of each cargo ship in the same classification result, and extracting ideal type line characteristics and ideal performance characteristics of the cargo ships with the same tonnage, which are consistent with the corresponding classification, from a preset database;
establishing an ideal mapping relation between the ideal profile characteristics and the ideal performance characteristics;
determining the matching degree of the actual mapping relation and the ideal mapping relation so as to obtain the first adaptability of the corresponding cargo ship;
wherein the first adaptability is a corresponding adaptability relationship.
8. The method for generating the linear pedigree of the cargo ships at the middle and lower reaches of the Yangtze river according to the linear-performance optimization principle, wherein the step of adjusting the adaptive relation corresponding to each cargo ship in the same classification result until the optimal adaptive constraint is met so that the cargo ship performance of the corresponding cargo ship is optimal comprises the following steps:
the method comprises the steps of extracting the molded line characteristics and the performance characteristics of the cargo ship with the same tonnage level in the same classification result, comparing the molded line characteristics of the cargo ship with the same tonnage level to obtain a first characteristic matrix, and comparing the performance characteristics of the cargo ship with the same tonnage level to obtain a second characteristic matrix;
acquiring a first ideal vector related to the first characteristic matrix, generating a cargo ship profile characteristic difference array sequence corresponding to the same tonnage level, acquiring a second ideal matrix related to the second characteristic matrix, and generating a performance characteristic difference array sequence corresponding to the same tonnage level;
determining a first numerical value of a corresponding difference array based on each molded line feature difference array in the molded line feature difference array sequence;
determining a second numerical value of a corresponding difference array based on each performance feature difference array in the performance feature difference array sequence;
according to all the obtained first numerical values, a molded line vector to be adjusted is constructed and obtained, and according to all the obtained second numerical values, a performance vector to be adjusted is constructed and obtained;
adjusting the first adaptability of each cargo ship in the same classification result based on a first difference vector of the first ideal vector and the vector to be adjusted for molded line and a second difference vector of the second ideal vector and the vector to be adjusted for performance;
acquiring optimal adaptive constraints matched with the same tonnage grade in the corresponding same classification result according to a profile-performance optimal principle;
when the adjusting result meets the corresponding optimal adaptive constraint, acquiring a performance adjusting result of the corresponding cargo ship; otherwise, the cargo ship which does not meet the corresponding optimal adaptive constraint is calibrated, and the corresponding cargo ship is continuously adjusted according to the difference between the adjustment result and the corresponding optimal adaptive constraint until the corresponding optimal adaptive constraint is met.
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