CN113919067A - Method for determining configuration of port ship tug based on wind wave flow - Google Patents
Method for determining configuration of port ship tug based on wind wave flow Download PDFInfo
- Publication number
- CN113919067A CN113919067A CN202111169807.4A CN202111169807A CN113919067A CN 113919067 A CN113919067 A CN 113919067A CN 202111169807 A CN202111169807 A CN 202111169807A CN 113919067 A CN113919067 A CN 113919067A
- Authority
- CN
- China
- Prior art keywords
- ship
- tug
- wind
- determining
- force
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/15—Vehicle, aircraft or watercraft design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/25—Design optimisation, verification or simulation using particle-based methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/28—Design optimisation, verification or simulation using fluid dynamics, e.g. using Navier-Stokes equations or computational fluid dynamics [CFD]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/004—Artificial life, i.e. computing arrangements simulating life
- G06N3/006—Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/12—Computing arrangements based on biological models using genetic models
- G06N3/126—Evolutionary algorithms, e.g. genetic algorithms or genetic programming
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/04—Constraint-based CAD
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/06—Multi-objective optimisation, e.g. Pareto optimisation using simulated annealing [SA], ant colony algorithms or genetic algorithms [GA]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/08—Fluids
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- Biophysics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Computer Hardware Design (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Computing Systems (AREA)
- Artificial Intelligence (AREA)
- General Health & Medical Sciences (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Mathematical Analysis (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Biomedical Technology (AREA)
- Mathematical Optimization (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Pure & Applied Mathematics (AREA)
- Molecular Biology (AREA)
- Aviation & Aerospace Engineering (AREA)
- Automation & Control Theory (AREA)
- Algebra (AREA)
- Fluid Mechanics (AREA)
- Computational Mathematics (AREA)
- Medical Informatics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physiology (AREA)
- Genetics & Genomics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to the technical field of port ship safety management, in particular to a method for determining configuration of a port ship tugboat based on storm flow. The method comprises the steps of determining the water depth and the error of a port, determining the fluid acting force of a ship, determining the sinking force and the sinking amount of the ship, determining a ship motion equation, respectively calculating the interference of three factors of wind and wave flow on the ship, calculating the minimum drag force required by ship berthing under the combined action of the wind and wave flow, calculating an optimal solution by adopting a multi-objective optimization algorithm combining the superposition of a genetic algorithm and a particle swarm algorithm, and the like. The design of the invention can calculate the minimum towing force of the tug required under the combined action of wind, wave and current by determining the fluid acting force of the ship and establishing the ship motion equation, and finally optimizes the configuration condition of the tug by a multi-objective optimization algorithm, thereby achieving the optimal configuration of the tug towing force when the ship is berthed, improving the port scheduling efficiency, reducing the working pressure of the port tug, reducing the resource waste of the tug and reducing the cost of the tug when the ship is berthed.
Description
Technical Field
The invention relates to the technical field of port ship safety management, in particular to a method for determining configuration of a port ship tugboat based on storm flow.
Background
In some complicated harbor conditions, the turning performance and rudder efficiency of a large ship are deteriorated due to restrictions of water area conditions and weather conditions in harbors. On the other hand, the congestion of the channel is increased by the increasing number of large vessels, resulting in a limited maneuvering space for other vessels in the channel. The blockage of the canal then triggers a "butterfly effect". Therefore, efficient scheduling of tugs is of great interest for port operations.
At present, the maximum towing force in a threshold value is often selected when a tug configuration is selected when ships lean to or depart from a berth in China, and although the maximum towing force is more stable, the resource waste of the tug is caused, the cost of the tug is increased when the ships lean to or depart from the berth, and the passing efficiency of ports is reduced. Therefore, a method for optimizing the configuration of a port ship tugboat based on environment judgment is urgently needed in China.
Disclosure of Invention
The invention aims to provide a method for determining the configuration of a tug of a port ship based on wave flow, so as to solve the problems in the background technology.
In order to solve the above technical problem, an object of the present invention is to provide a method for determining a tugboat configuration of a port vessel based on wave flow, comprising the following steps:
s1, determining the water depth and the error of the port according to the existing data and the data acquired in real time;
s2, determining the fluid acting force of the ship according to the ship data arriving at port, calculating the sinking force and sinking amount of the ship and determining the motion equation of the ship;
s3, respectively calculating the interference of the wind, wave and flow factors to the ship through the measured parameters;
s4, calculating the minimum towing force required by the ship to lean against and leave under the combined action of wind, wave and flow;
and S5, calculating the optimal solution by adopting a multi-objective optimization algorithm of superposition combination of a genetic algorithm and a particle swarm algorithm according to the objectives of optimal economy, shortest route and maximum towing force.
As a further improvement of the present invention, in S2, the ship fluid acting force is calculated according to the following formula according to the mass of the arriving ship:
the above formula is converted to obtain:
in the formula (1), P is the ship fluid acting force, rho is the fluid density, CIs a constant number of times, and is,is the fluid velocity potential, t is the time, V is the ship speed (m/s), g is the gravity acceleration (9.807 m/s)2) And z is the free liquid level height.
As a further improvement of the present technical solution, in S2, a calculation expression for calculating the sinking force and the sinking amount of the ship is as follows:
the calculation equation for calculating the sinking force of the ship according to the fluid acting force is as follows:
in the formula (2), the reaction mixture is,representing the unit normal vector of the hull,d represents the height of the underwater part of the ship, and s represents the cross-sectional area of the ship in contact with the horizontal plane;
determining the ship sinking amount through the ship sinking force, and calculating the ship sinking amount by using a Hooft formula, wherein the expression of the ship sinking amount is as follows:
in the formulas (3 a), (3 b), (3 c) and (3 d), T is the sinking amount of the bow,the average sinking amount of the ship body is,the amount of toe-in due to changes in pitch,the length (m) between the vertical lines of the ship,the volume of water to be drained for the ship,the depth of water is Froude number, g is the acceleration of gravity (9.807 m/s)2) V is the ship speed (m/s) and h is the water depth (m);
wherein, the sinking amount of the ship body is closely related to the depth of water, the size of the ship and the speed of the ship, especially the speed of the ship.
As a further improvement of the technical solution, in S2, a ship motion equation is determined according to a potential flow theory, where the equation expression is:
in the formula (4), the reaction mixture is,is six-freedom-degree motion changing along with time, M is a ship body generalized mass matrix,、、is the three-dimensional hydrodynamic coefficient.
As a further improvement of the technical solution, in S3, the method for calculating the interference of the wind factor to the ship through the measured parameters includes the following steps:
the calculation expression for determining the wind load coefficient through the actually measured wind parameters is as follows:
in the formula (5 a), in the formula (5 b), CxIn order to be the longitudinal wind load factor,is the ship side projected area on the waterline, ATIs the orthographic projection area of the hull on the waterline, S is the perimeter of the side projection area of the hull above the waterline, B is the width of the ship and LOAIs the ship length, C is the distance between the center of the side projection area and the ship bow, N is the number of the line surface struts or masts in the side projection area, CyThe lateral wind load coefficient is shown, and Ass is the lateral projection area of the superstructure;
further, the wind pressure acting on the vessel can be calculated as:
in the formulas (5 c) and (5 d),is the pressure of the wind in the longitudinal direction,in the case of a lateral wind pressure,in order to be the density of the air,is the relative wind speed.
As a further improvement of the technical solution, in S3, the calculation expression for calculating the interference of the wave factor on the ship by the measured parameters is as follows:
in the formula (6), the reaction mixture is,in order to apply the acting force of the waves to the ship,the length of the water line is long,the effective wave height.
As a further improvement of the technical solution, in S3, the calculation expression for calculating the ship interference by the flow factor through the measured parameters is as follows:
the influence of the flow on the movement of the ship is determined by actually measuring the flow parameters, the action of the flow is similar to the action principle of wind in the process of berthing of the ship, the flow load coefficient is similar to the wind load coefficient, the ship can be divided into two hydrodynamic forces in different directions, and the formula is as follows:
in the formulae (7 a) and (7 b),in the form of a longitudinal flow force,is a flow power in the transverse direction,the length (m) between the vertical lines of the ship and the T is the sinking amount of the ship.
As a further improvement of the present technical solution, in S4, according to the calculation function of the wind pressure, the hydrodynamic force and the wave force, the formula for calculating the minimum total towing force of the tug required by the ship in the berthing process is as follows:
in the formula (8), the reaction mixture is,for the stress of the ship in the x direction under the action of wind and current,for the stress of the ship in the y direction under the action of wind and current,the stress of the ship in the z direction under the action of wind and current.
As a further improvement of the present technical solution, in S5, the specific method for calculating the optimal solution with the objectives of economic optimality, shortest route, and maximum towing force includes the following steps:
s5.1, determining the corresponding weights of the three targets according to the targets of optimal economy, shortest route and maximum towing force by an actual operator;
s5.2, determining a corresponding multi-objective optimization function and constraint conditions by adopting a genetic algorithm;
s5.3, initializing a multi-objective optimization function by adopting a particle swarm algorithm to obtain a group of random solutions;
s5.4, finding an optimal solution through iteration, wherein in each iteration, the particles update themselves by tracking individual extremum and global extremum;
s5.5, optimizing the corresponding weight of each target through a genetic algorithm so as to prepare for the next calculation;
s5.6, the method for optimizing the weight comprises the steps of carrying out mutation operation of the genetic algorithm on the current particle speed of the initial weight, carrying out cross operation of the genetic algorithm on the particles of the initial weight at the next step, and finally carrying out cross operation on the current solution, the individual extreme value and the global extreme value respectively to generate a solution as a new weight.
As a further improvement of the technical solution, in S5.2, the objective function and the constraint condition are:
in the formula (9), L is the distance between each tug and the target ship, S is the fuel consumption, F is the towing force of the tug, N is the tug number,a (0, 1) matrix is selectable for the tug.
The invention also aims to provide a determining system for the tug configuration of the port ship based on the storm flow, which comprises a data acquisition and transmission module, a data storage module, a towing force calculation module and a tug configuration optimization module;
the data acquisition and transmission module is used for acquiring the storm flow data and the ship parameters in the current time period and transmitting the data to the data storage module;
the data storage module can establish a meteorological data set and a ship body data set, preprocess data and store real-time data;
the towing force calculation module is used for inputting the meteorological data and the ship body data into the towing force calculation module to obtain the minimum towing force required by the towing ship for berthing;
the tug configuration optimization module takes tug conditions and minimum towing force obtained through calculation as constraint conditions, and calls a multi-objective optimization algorithm to optimize the tug configuration conditions by taking the objectives of economic optimization, shortest route and maximum towing force as the targets, and displays the tug configuration conditions to a user in a chart form so as to assist the user in making decisions.
The invention also provides an operation device of the system for determining the tug configuration of the port ship based on the wave current, which comprises a processor, a memory and a computer program stored in the memory and operated on the processor, wherein the processor is used for realizing the steps of the system and the method for determining the tug configuration of the port ship based on the wave current when executing the computer program.
It is a fourth object of the present invention to provide a computer readable storage medium, which stores a computer program, which when executed by a processor, implements the steps of the system and method for determining a tug configuration of a storm-based harbor vessel.
Compared with the prior art, the invention has the beneficial effects that:
according to the method for determining the tug configuration of the port ship based on the wind wave flow, the fluid acting force of the ship can be determined through ship data, a ship motion equation can be established according to a potential flow theory, the minimum towing force of the tug required under the combined action of the wind wave flow and the wave flow can be calculated by respectively calculating the interference of the wind, the wave and the flow on the ship, and finally the tug configuration condition can be optimized through a multi-objective optimization algorithm, so that the optimal configuration of the tug towing force when the ship is close to the berth can be optimized, the port scheduling efficiency is improved, the working pressure of the tug of the port is reduced, the resource waste of the tug is reduced, and the cost of the tug when the ship is close to the berth is reduced.
Drawings
FIG. 1 is a flow chart of the overall method operation of the present invention;
FIG. 2 is a flow chart of an overall determination method of the present invention;
FIG. 3 is a flow chart of a partial determination method of the present invention;
FIG. 4 is a flowchart of the working principle of calculating the optimal solution in the present invention;
FIG. 5 is a block diagram of an exemplary determination system apparatus of the present invention;
FIG. 6 is a block diagram of an exemplary electronic computer product device according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
As shown in fig. 1 to 6, the present embodiment provides a method for determining a tugboat configuration of a port vessel based on wave current, which includes the following steps:
s1, determining the water depth and the error of the port according to the existing data and the data acquired in real time;
s2, determining the fluid acting force of the ship according to the ship data arriving at port, calculating the sinking force and sinking amount of the ship and determining the motion equation of the ship;
s3, respectively calculating the interference of the wind, wave and flow factors to the ship through the measured parameters;
s4, calculating the minimum towing force required by the ship to lean against and leave under the combined action of wind, wave and flow;
and S5, calculating the optimal solution by adopting a multi-objective optimization algorithm of superposition combination of a genetic algorithm and a particle swarm algorithm according to the objectives of optimal economy, shortest route and maximum towing force.
In this embodiment, in S2, the ship fluid acting force is calculated according to the following formula according to the mass of the arriving ship:
the above formula is converted to obtain:
in the formula (1), P is the ship fluid acting force, rho is the fluid density, C is a constant,is the fluid velocity potential, t is the time, V is the ship speed (m/s), g is the gravity acceleration (9.807 m/s)2) And z is the free liquid level height.
Further, in S2, the calculation expression for calculating the ship' S sinkage force and sinkage is:
the calculation equation for calculating the sinking force of the ship according to the fluid acting force is as follows:
in the formula (2), the reaction mixture is,representing the unit normal vector of the hull,d represents the height of the underwater part of the ship, and s represents the cross-sectional area of the ship in contact with the horizontal plane;
determining the ship sinking amount through the ship sinking force, and calculating the ship sinking amount by using a Hooft formula, wherein the expression of the ship sinking amount is as follows:
in the formulas (3 a), (3 b), (3 c) and (3 d), T is the sinking amount of the bow,the average sinking amount of the ship body is,the amount of toe-in due to changes in pitch,the length of the vertical line of the ship is long,the volume of water to be drained for the ship,the depth of water is Froude number, g is the acceleration of gravity (9.807 m/s)2) V is the ship speed (m/s) and h is the water depth (m);
wherein, the sinking amount of the ship body is closely related to the depth of water, the size of the ship and the speed of the ship, especially the speed of the ship.
Further, in S2, according to the potential flow theory, determining a ship motion equation, where the equation expression is:
in the formula (4), the reaction mixture is,is six-freedom-degree motion changing along with time, M is a ship body generalized mass matrix,、 、is the three-dimensional hydrodynamic coefficient.
In this embodiment, in S3, the method for calculating the interference of the wind factor on the ship through the measured parameters includes the following specific steps:
the calculation expression for determining the wind load coefficient through the actually measured wind parameters is as follows:
in the formula (5 a), in the formula (5 b), CxIn order to be the longitudinal wind load factor,is the side projection area of the ship body on the waterline,A T is the orthographic projection area of the hull on the waterline, S is the perimeter of the side projection area of the hull above the waterline, B is the width of the ship and LOAIs the ship length, C is the distance between the center of the side projection area and the ship bow, N is the number of the line surface struts or masts in the side projection area, CyThe lateral wind load coefficient is shown, and Ass is the lateral projection area of the superstructure;
further, the wind pressure acting on the vessel can be calculated as:
in the formulas (5 c) and (5 d),is the pressure of the wind in the longitudinal direction,in the case of a lateral wind pressure,in order to be the density of the air,is the relative wind speed.
Further, in S3, the calculation expression for calculating the interference of the wave factor on the ship by the measured parameter is as follows:
in the formula (6), the reaction mixture is,in order to apply the acting force of the waves to the ship,the length of the water line is long,the effective wave height.
Further, in S3, the calculation expression for calculating the ship disturbance by the flow factor through the measured parameters is as follows:
the influence of the flow on the movement of the ship is determined by actually measuring the flow parameters, the action of the flow is similar to the action principle of wind in the process of berthing of the ship, the flow load coefficient is similar to the wind load coefficient, the ship can be divided into two hydrodynamic forces in different directions, and the formula is as follows:
in the formulae (7 a) and (7 b),in the form of a longitudinal flow force,is a flow power in the transverse direction,the length (m) between the vertical lines of the ship and the T is the sinking amount of the ship.
In this embodiment, in S4, the formula for calculating the minimum total towing force of the tug required for the ship to lean away from the berth according to the calculation functions of the wind pressure, the hydrodynamic force and the wave force is as follows:
in the formula (8), the reaction mixture is,for the stress of the ship in the x direction under the action of wind and current,for the stress of the ship in the y direction under the action of wind and current,the stress of the ship in the z direction under the action of wind and current.
In this embodiment, in S5, the specific method for calculating the optimal solution with the objectives of economic optimization, shortest route, and maximum towing force includes the following steps:
s5.1, determining the corresponding weights of the three targets according to the targets of optimal economy, shortest route and maximum towing force by an actual operator;
s5.2, determining a corresponding multi-objective optimization function and constraint conditions by adopting a genetic algorithm;
s5.3, initializing a multi-objective optimization function by adopting a particle swarm algorithm to obtain a group of random solutions;
s5.4, finding an optimal solution through iteration, wherein in each iteration, the particles update themselves by tracking individual extremum and global extremum;
s5.5, optimizing the corresponding weight of each target through a genetic algorithm so as to prepare for the next calculation;
s5.6, the method for optimizing the weight comprises the steps of carrying out mutation operation of the genetic algorithm on the current particle speed of the initial weight, carrying out cross operation of the genetic algorithm on the particles of the initial weight at the next step, and finally carrying out cross operation on the current solution, the individual extreme value and the global extreme value respectively to generate a solution as a new weight.
Further, in S5.2, the objective function and the constraint condition are:
in the formula (9), L is the distance between each tug and the target ship, S is the fuel consumption, F is the towing force of the tug, N is the tug number,a (0, 1) matrix is selectable for the tug.
As shown in fig. 5, the embodiment further provides a system for determining the tug configuration of a port ship based on wave flow, which includes a data acquisition and transmission module, a data storage module, a tug calculation module, and a tug configuration optimization module;
the data acquisition and transmission module is used for acquiring the storm flow data and the ship parameters in the current time period and transmitting the data to the data storage module;
the data storage module can establish a meteorological data set and a ship body data set, preprocess data and store real-time data;
the towing force calculation module is used for inputting the meteorological data and the ship body data into the towing force calculation module to obtain the minimum towing force required by the towing ship for berthing;
the tug configuration optimization module takes tug conditions and minimum towing force obtained through calculation as constraint conditions, and calls a multi-objective optimization algorithm to optimize the tug configuration conditions by taking the goals of economic optimization, shortest route and maximum towing force as targets, and the tug configuration optimization module is displayed to a user in a chart form to assist the user in making decisions.
As shown in fig. 6, the present embodiment also provides an operating apparatus of a determining system for a tug configuration of a port vessel based on wave current, the apparatus comprising a processor, a memory, and a computer program stored in the memory and running on the processor.
The processor comprises one or more processing cores, the processor is connected with the memory through the bus, the memory is used for storing program instructions, and the steps of the system and the method for determining the tug configuration of the port ship based on the storm flows are realized when the processor executes the program instructions in the memory.
Alternatively, the memory may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
In addition, the present invention further provides a computer readable storage medium, which stores a computer program, and the computer program, when executed by a processor, implements the steps of the above system and method for determining the tug configuration of a port ship based on wave flow.
Optionally, the present invention also provides a computer program product containing instructions which, when run on a computer, cause the computer to perform the steps of the above aspects of the system and method for determining a tug configuration of a storm-based harbour vessel.
It will be understood by those skilled in the art that all or part of the steps of implementing the above embodiments may be implemented by hardware, or may be implemented by hardware related to instructions of a program, which may be stored in a computer-readable storage medium, such as a read-only memory, a magnetic or optical disk, and the like.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and the preferred embodiments of the present invention are described in the above embodiments and the description, and are not intended to limit the present invention. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. A method for determining the configuration of a port ship tug based on wind wave flow is characterized by comprising the following steps: the method comprises the following steps:
s1, determining the water depth and the error of the port according to the existing data and the data acquired in real time;
s2, determining the fluid acting force of the ship according to the ship data arriving at port, calculating the sinking force and sinking amount of the ship and determining the motion equation of the ship;
s3, respectively calculating the interference of the wind, wave and flow factors to the ship through the measured parameters;
s4, calculating the minimum towing force required by the ship to lean against and leave under the combined action of wind, wave and flow;
and S5, calculating the optimal solution by adopting a multi-objective optimization algorithm of superposition combination of a genetic algorithm and a particle swarm algorithm according to the objectives of optimal economy, shortest route and maximum towing force.
2. The method of determining a tug configuration for a port vessel based on wave currents according to claim 1, characterized in that: in S2, the ship fluid acting force is calculated according to the mass of the arriving ship and the following formula:
the above formula is converted to obtain:
3. The method of determining a tug configuration for a port vessel based on wave currents according to claim 2, characterized in that: in S2, the calculation expression for calculating the ship' S sinking force and sinking amount is:
the calculation equation for calculating the sinking force of the ship according to the fluid acting force is as follows:
in the formula (2), the reaction mixture is,representing the unit normal vector of the hull,d represents the variation of fluid force of the shipThe height of the underwater part of the ship, s represents the cross-sectional area of the ship in contact with the horizontal plane;
determining the ship sinking amount through the ship sinking force, and calculating the ship sinking amount by using a Hooft formula, wherein the expression of the ship sinking amount is as follows:
in the formulas (3 a), (3 b), (3 c) and (3 d), T is the sinking amount of the bow,the average sinking amount of the ship body is,the amount of toe-in due to changes in pitch,the length of the vertical line of the ship is long,the volume of water to be drained for the ship,depth Froude number, g gravity accelerationDegree, V is the ship speed, and h is the water depth;
wherein, the sinking amount of the ship body is closely related to the depth of water, the size of the ship and the speed of the ship, especially the speed of the ship.
4. The method of claim 3, wherein the method comprises: in the step S2, according to the potential flow theory, a ship motion equation is determined, where the equation expression is:
5. The method of determining a tug configuration for a port vessel based on wave currents according to claim 4, wherein: in S3, the method for calculating the interference of the wind factor to the ship through the measured parameters includes the following steps:
the calculation expression for determining the wind load coefficient through the actually measured wind parameters is as follows:
in the formula (5 a), in the formula (5 b), CxIn order to be the longitudinal wind load factor,is the ship side projected area on the waterline, ATIs the orthographic projection area of the hull on the waterline, S is the perimeter of the side projection area of the hull above the waterline, B is the width of the ship and LOAIs the ship length, C is the distance between the center of the side projection area and the ship bow, N is the number of the line surface struts or masts in the side projection area, CyThe lateral wind load coefficient is shown, and Ass is the lateral projection area of the superstructure;
further, the wind pressure acting on the vessel can be calculated as:
6. The method of determining a tug configuration for a port vessel based on wave currents according to claim 5, wherein: in S3, the calculation expression of the interference of the wave factor to the ship calculated by the measured parameters is:
7. The method of claim 6, wherein the method comprises: in S3, the calculation expression of the interference of the flow factor to the ship through the measured parameter is:
the influence of the flow on the movement of the ship is determined by actually measuring the flow parameters, the action of the flow is similar to the action principle of wind in the process of berthing of the ship, the flow load coefficient is similar to the wind load coefficient, the ship can be divided into two hydrodynamic forces in different directions, and the formula is as follows:
8. The method of claim 7, wherein the method comprises: in S4, the formula for calculating the minimum total towing force of the tug required by the ship during berthing according to the calculation functions of the wind pressure, the hydrodynamic force and the wave force is as follows:
9. The method of claim 8, wherein the method comprises: in S5, the specific method for calculating the optimal solution with the objectives of economic optimization, shortest route, and maximum towing force includes the following steps:
s5.1, determining the corresponding weights of the three targets according to the targets of optimal economy, shortest route and maximum towing force by an actual operator;
s5.2, determining a corresponding multi-objective optimization function and constraint conditions by adopting a genetic algorithm;
s5.3, initializing a multi-objective optimization function by adopting a particle swarm algorithm to obtain a group of random solutions;
s5.4, finding an optimal solution through iteration, wherein in each iteration, the particles update themselves by tracking individual extremum and global extremum;
s5.5, optimizing the corresponding weight of each target through a genetic algorithm so as to prepare for the next calculation;
s5.6, the method for optimizing the weight comprises the steps of carrying out mutation operation of the genetic algorithm on the current particle speed of the initial weight, carrying out cross operation of the genetic algorithm on the particles of the initial weight at the next step, and finally carrying out cross operation on the current solution, the individual extreme value and the global extreme value respectively to generate a solution as a new weight.
10. The method of determining a tug configuration for a port vessel based on wave currents of claim 9, wherein: in S5.2, the objective function and the constraint condition are:
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111169807.4A CN113919067A (en) | 2021-10-08 | 2021-10-08 | Method for determining configuration of port ship tug based on wind wave flow |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111169807.4A CN113919067A (en) | 2021-10-08 | 2021-10-08 | Method for determining configuration of port ship tug based on wind wave flow |
Publications (1)
Publication Number | Publication Date |
---|---|
CN113919067A true CN113919067A (en) | 2022-01-11 |
Family
ID=79238337
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202111169807.4A Pending CN113919067A (en) | 2021-10-08 | 2021-10-08 | Method for determining configuration of port ship tug based on wind wave flow |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113919067A (en) |
-
2021
- 2021-10-08 CN CN202111169807.4A patent/CN113919067A/en active Pending
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Wang et al. | Application of real-coded genetic algorithm in ship weather routing | |
JP5312425B2 (en) | Ship operation support system | |
CN111272171B (en) | Ship track prediction method and device | |
CN112819255B (en) | Multi-criterion ship route determining method and device, computer equipment and readable storage medium | |
WO2019004416A1 (en) | Optimal route searching method and device | |
CN113609796B (en) | Multi-scale ship body instability overturning assessment method considering multi-liquid tank sloshing | |
CN114610046A (en) | Unmanned ship dynamic safety trajectory planning method considering dynamic water depth | |
CN112836448B (en) | Real ship test method for ship hydrodynamic coefficient | |
CN112051732B (en) | Buoy tender adaptive neural network fractional order sliding mode control system and method considering quayside effect | |
CN113919067A (en) | Method for determining configuration of port ship tug based on wind wave flow | |
Permanent International Association of Navigation Congresses et al. | Approach channels: A guide for design | |
CN111169603A (en) | Method and system for determining safe and abundant water depth of ultra-large ship | |
Demirbilek et al. | Deep-draft coastal navigation entrance channel practice | |
Pan et al. | Ship domain model for ships with restricted manoeuvrability in busy waters | |
Dempwolff et al. | The influence of the hull representation for modelling of primary ship waves with a shallow-water equation solver | |
Gourlay | Ship underkeel clearance in waves | |
Vantorre et al. | Ship motions in shallow water as the base for a probabilistic approach policy | |
Ciampolini et al. | Towards the development of smart weather routing systems for leisure planing boats | |
Ruggeri et al. | The development of Redraft® system in Brazilian ports for safe underkeel clearance computation | |
Calvert | Optimal weather routeing procedures for vessels on trans-oceanic voyages | |
Eloot et al. | 9 Development of decision supporting tools for determining tidal windows for deep-drafted vessels | |
Baric et al. | Determining Restricted Fairway Additional Width due to Bank Effect for Fine Form Vessels | |
Catarino | Dynamic Draft and Under Keel Clearance: A Hydrographic View | |
Okazaki et al. | A study on evaluating maneuvering skill and developing support tool for marine pilot trainees berthing a ship | |
CN115273553B (en) | Space dividing method for ship restricted navigation and no-navigation area |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |