CN117709119A - Three-dimensional navigation scene simulation method, equipment and storage medium for ship design - Google Patents

Three-dimensional navigation scene simulation method, equipment and storage medium for ship design Download PDF

Info

Publication number
CN117709119A
CN117709119A CN202311782610.7A CN202311782610A CN117709119A CN 117709119 A CN117709119 A CN 117709119A CN 202311782610 A CN202311782610 A CN 202311782610A CN 117709119 A CN117709119 A CN 117709119A
Authority
CN
China
Prior art keywords
load
data
model
wave
wind
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
Application number
CN202311782610.7A
Other languages
Chinese (zh)
Inventor
庞启秀
李怀远
田隽
崔鹏昌
满瑞成
刘维利
侯志强
温春鹏
辛海霞
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Tianjin Research Institute for Water Transport Engineering MOT
Original Assignee
Tianjin Research Institute for Water Transport Engineering MOT
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Tianjin Research Institute for Water Transport Engineering MOT filed Critical Tianjin Research Institute for Water Transport Engineering MOT
Priority to CN202311782610.7A priority Critical patent/CN117709119A/en
Publication of CN117709119A publication Critical patent/CN117709119A/en
Pending legal-status Critical Current

Links

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation

Landscapes

  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention provides a three-dimensional navigation scene simulation method, equipment and a storage medium for ship design, which are characterized in that basic environment data of a navigation scene are firstly obtained and then respectively input into corresponding environment load models to obtain a plurality of environment load data; calculating load adjustment values of the environmental load data according to the basic environment data and the correlation prediction models; each relevance pre-estimation model is used for predicting the influence of the environmental load data corresponding to the first environmental load model on the environmental load data corresponding to the second environmental load model; and adjusting the ship state in the navigation scene according to the environmental load data and the load adjustment value of each environmental load data. The load under various actual environments is calculated through the most basic environment data and the corresponding load model, and the association relation between different loads is considered, so that the simulated sailing process is more similar to the actual sailing, and the simulated effect of ship sailing is effectively improved.

Description

Three-dimensional navigation scene simulation method, equipment and storage medium for ship design
Technical Field
The invention belongs to the technical field of ship design, and particularly relates to a three-dimensional navigation scene simulation method, equipment and storage medium for ship design.
Background
As an important marine vessel, a vessel is subject to waves in the marine environment to produce varying degrees of motion. Therefore, in the process of designing a ship, it is necessary to simulate the ship's navigation. In the process of simulating sailing, the sailing environment scene needs to be simulated, so that the simulated sailing state of the ship is more in line with the actual sailing situation.
In the prior art, when a navigation scene is simulated, related load data is directly loaded on a ship operation model, the gap between the ship operation model and an actual navigation scene is large, and the simulation effect is poor.
Disclosure of Invention
In view of the above, the invention provides a three-dimensional navigation scene simulation method, equipment and storage medium for ship design, which aim to solve the problem of poor navigation scene simulation effect in the prior art.
The first aspect of the embodiment of the invention provides a three-dimensional navigation scene simulation method for ship design, which is applied to a navigation scene simulation system, wherein a plurality of environment load models are arranged in the navigation scene simulation system; the method comprises the following steps:
basic environment data of a navigation scene are acquired;
respectively inputting the basic environment data into corresponding environment load models to obtain a plurality of environment load data;
calculating load adjustment values of the environmental load data according to the basic environment data and the correlation prediction models; each relevance pre-estimation model is used for predicting the influence of the environmental load data corresponding to the first environmental load model on the environmental load data corresponding to the second environmental load model; the first environmental load model and the second environmental load model are any two models of the plurality of environmental load models;
and adjusting the ship state in the navigation scene according to the environmental load data and the load adjustment value of each environmental load data.
The second aspect of the embodiment of the invention provides a three-dimensional navigation scene simulation device for ship design, which is applied to a navigation scene simulation system, wherein a plurality of environment load models are arranged in the navigation scene simulation system; the device comprises:
the acquisition module is used for acquiring basic environment data of the navigation scene;
the input module is used for respectively inputting the basic environment data into the corresponding environment load model to obtain a plurality of environment load data;
the computing module is used for computing load adjustment values of the environmental load data according to the basic environmental data and the correlation estimation models; each relevance pre-estimation model is used for predicting the influence of the environmental load data corresponding to the first environmental load model on the environmental load data corresponding to the second environmental load model; the first environmental load model and the second environmental load model are any two models of the plurality of environmental load models;
and the adjusting module is used for adjusting the ship state in the navigation scene according to the environmental load data and the load adjusting value of each environmental load data.
A third aspect of an embodiment of the invention provides an electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor executing the computer program to perform the steps of the three-dimensional navigation scenario simulation method for a vessel design as described above in the first aspect.
A fourth aspect of an embodiment of the invention provides a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of the three-dimensional navigation scenario simulation method for vessel design of the first aspect above.
The three-dimensional navigation scene simulation method, the three-dimensional navigation scene simulation equipment and the storage medium for ship design provided by the embodiment of the invention firstly acquire basic environment data of a navigation scene; respectively inputting the basic environment data into corresponding environment load models to obtain a plurality of environment load data; calculating load adjustment values of the environmental load data according to the basic environment data and the correlation prediction models; each relevance pre-estimation model is used for predicting the influence of the environmental load data corresponding to the first environmental load model on the environmental load data corresponding to the second environmental load model; the first environmental load model and the second environmental load model are any two models of the plurality of environmental load models; and adjusting the ship state in the navigation scene according to the environmental load data and the load adjustment value of each environmental load data. The load under various actual environments is calculated through the most basic environment data and the corresponding load model, and the association relation between different loads is considered, so that the simulated sailing process is more similar to the actual sailing, and the simulated effect of ship sailing is effectively improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of an implementation of a three-dimensional navigation scenario simulation method for ship design provided by an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a three-dimensional navigation scene simulation method apparatus for ship design according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth such as the particular system architecture, techniques, etc., in order to provide a thorough understanding of the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
Fig. 1 is a flowchart of an implementation of a three-dimensional navigation scene simulation method for ship design according to an embodiment of the present invention. As shown in fig. 1, in some embodiments, the three-dimensional navigation scene simulation method for ship design is applied to a navigation scene simulation system, and a plurality of environmental load models are arranged in the navigation scene simulation system; the method comprises the following steps:
s110, acquiring basic environment data of the navigation scene.
In an embodiment of the present invention, the basic environment data may include, but is not limited to, at least one of: longitude and latitude, temperature, time, rising drag coefficient, current wind speed, current wind direction, average ambient wind speed, wind direction average value, wind direction change amplitude, wave height, wave direction, wave period, flow direction, flow velocity, tide level and water depth. The basic environment data are simply measured data on each route, and only a plurality of corresponding sensors are required to be arranged on the route, or navigation information is directly inquired from a network, and the basic environment data can be obtained through calculation.
In the embodiment, a calculation mode of non-contact basic environment data in an offshore environment is provided, the non-contact means is not required to install monitoring equipment on a ship, and all element data are automatically acquired through information means and simulation means. The near-sea finger is within 50km of the shoreline. The method comprises the following steps:
the wind elements such as the drag coefficient, the current wind speed, the current wind direction, the average ambient wind speed, the wind direction average value, the wind direction change amplitude and the like can be obtained by the following specific steps: and carrying out local encryption calculation on the target sea area through global open source wind field data, correcting according to the measured data, and interpolating to extract wind elements at the position of the ship. The spatial resolution of the encrypted wind field data reaches hundred meters, and the time resolution is not higher than 0.5h; the measured data may be from ambient wind speed stations, weather stations, public weather forecast data.
Establishing an offshore wind wave and sediment coupling three-dimensional mathematical model, wherein the spatial resolution is up to 10m level, the time resolution is not higher than 0.5h, simulating ocean power and sediment motion fields of a target sea area in a designated period, taking the latest sea chart water depth, a tide table, an encrypted wind field and a refined land boundary as model input conditions, and correcting simulation results through hydrological data of the target sea area to obtain simulation results of tide, wave and sediment fields; finally, extracting wave, tide and stream elements (namely basic environment data corresponding to the wave, tide and stream) according to time and ship coordinate interpolation;
bottom elevation under theoretical basal plane, real-time water level; the acquisition method comprises the following steps: extracting water depth scattering points from the latest sea chart data, interpolating to construct a three-dimensional topography, acquiring the distribution of the seabed siltation thickness from the data of a sediment field obtained by calculation of a wind wave, current and sediment coupling three-dimensional model, acquiring the seabed elevation data by superposing the siltation thickness with the sea chart water depth, and acquiring the real-time water level by superposing tide level elements at the moment; and extracting the bottom elevation and the water level according to the time and the ship coordinate interpolation. The mud-sand field simulation should be calculated from the date of sea chart water depth mapping and simulated to the target moment.
After the element data and the field data are all obtained, the real three-dimensional sailing dynamics of the offshore ship can be reconstructed, and all the element data can be synchronously updated along with time and ship position through an interpolation method.
The accuracy of the element data for reconstructing the true three-dimensional scene can be improved by erecting a field monitoring station, for example, by assuming an offshore wind speed station, a tide level station, a flow speed station, a wave station, a water depth observation station and the like as calibration parameters of the simulated element field, and the accuracy of the data is improved as a whole.
The method is characterized in that related data of the navigation scene does not need to be manually input, and all the data are automatically acquired through simulation or information means; the method is applicable to all offshore navigation vessels.
The method is not only suitable for reconstructing the historical navigation scene, but also suitable for reconstructing the real-time navigation scene, and even suitable for constructing the simulated navigation scene under the predefined condition.
S120, inputting the basic environment data into the corresponding environment load model respectively to obtain a plurality of environment load data.
In the embodiment of the invention, the ship is subjected to complex stress in the running process under the influence of factors such as wind, surge, channel water flow and the like, not only the comfort of a crew can be influenced, but also ship equipment or normal operation of the ship can be damaged, and serious ship turning accidents can be caused to cause huge life and property losses. Therefore, the loads need to be loaded into the ship running model for simulation test, so that the rationality of the ship design is ensured.
In some embodiments, the plurality of environmental load models includes a wind load model, a wave load model, and a flow load model; s120 may include: inputting basic environment data corresponding to the wind load model into the wind load model to obtain wind load and wind load predicted values of a navigation scene; inputting basic environment data corresponding to the wave load model into the wave load model to obtain linear wave load, nonlinear wave load and linear wave load predicted values of a navigation scene; and inputting the basic environment data corresponding to the stream load model into the stream load model to obtain the stream load of the navigation scene.
In the embodiment of the invention, whether the monitoring or the calculation is carried out, the obtained basic environmental data is relatively lagged, and the navigation scene is dynamically changed, so that the wind load and the wave load are predicted in an ultra-short period for real-time simulation of the navigation scene, and the wind load and the wave load change in a subsequent period of time are determined. In which the flow direction and velocity of the offshore flow are typically not changed much in a short period of time, so that the flow load does not need to be predicted. The tide level belongs to a periodically changing value, the water depth belongs to fixed data, and prediction is not needed in both the tide level and the water depth. The tide level and the water depth can be added into the input item of the wave load model to assist in calculating the wave load.
In the embodiment of the present invention, the wind load model, the wave load model and the flow load model may be a neural network model, a deep learning model, etc., which are not limited herein. And taking the measured data in the near ocean current environment as a sample set, and performing model training to obtain the wind load model, the wave load model and the flow load model, wherein the input is basic environment data, and the output is the load corresponding to the model.
In the embodiment of the invention, the ocean current information and the prevailing wind direction information in the offshore environment can be determined based on longitude and latitude, temperature and time so as to assist in calculating other information.
In some embodiments, the basic environmental data corresponding to the wind load model includes: longitude and latitude, temperature, time, rising drag coefficient, current wind speed, current wind direction, average ambient wind speed, wind direction average value and wind direction change amplitude; inputting basic environment data corresponding to the wind load model into the wind load model to obtain wind load and wind load predicted values of a navigation scene, wherein the method comprises the following steps: calculating a wind speed predicted value and a wind direction predicted value according to longitude and latitude, temperature, time, rising resistance coefficient, current wind speed, current wind direction, average ambient wind speed, wind direction average value, wind direction change amplitude and a first predicted model; calculating the wind load of the sailing scene according to the lift drag coefficient, the current wind speed, the current wind direction, the average ambient wind speed, the wind direction average value, the wind direction change amplitude and the wind load model; and calculating the wind load predicted value of the sailing scene according to the lift resistance coefficient, the wind speed predicted value, the wind direction predicted value, the average ambient wind speed, the wind direction average value, the wind direction change amplitude and the wind load model.
In the embodiment of the invention, the wind speed is continuously changed and is influenced by external environment, so that the wind load borne by the ship is also continuously changed, the current wind load is required to be calculated, and the wind load at the next moment is required to be predicted, so that a better sailing scene simulation effect is achieved. The specific first prediction model for calculating the wind speed predicted value and the wind direction may be a time series analysis model, a long-short term memory network model, and the like, which is not limited herein.
In some embodiments, the base environmental data corresponding to the wave load model includes: longitude and latitude, temperature, time, wave height, wave direction and wave period; basic environment data corresponding to the wave load model is input into the wave load model to obtain linear wave load, nonlinear wave load and linear wave load predicted values of a navigation scene, and the method comprises the following steps: inputting longitude and latitude, temperature, time, wave height, wave direction and wave period into a wave load model to obtain first wave load data; decomposing the first wave load data to obtain linear wave load and nonlinear wave load of a navigation scene; and obtaining a linear wave load predicted value according to the longitude and latitude, the temperature, the time, the linear wave load and a second pre-established prediction model.
In the present embodiment, sea waves are surface waves that occur at the ocean surface, i.e., a wave traveling along the water-air interface, which is a type of gravitational wave. Wave motion of sea waves is very random, so wave load data is also the most difficult to simulate. After longitude and latitude, temperature, time, wave height, wave direction and wave period are input into a wave load model, the obtained wave load data of the ship in all directions is a group of disordered load matrixes, and the wave load change in the subsequent period is difficult to estimate.
Because the sea wave belongs to gravitational wave, the calculated wave load data can be decomposed according to an empirical mode decomposition algorithm, a wavelet analysis algorithm and the like to obtain linear wave load and nonlinear wave load.
After the linear wave load is obtained, the change of the subsequent wave load can be predicted according to a linear regression model. Then simulating the randomness of the sea wave through a Markov model, namely randomly loading the nonlinear wave load in the linear wave load at the predicted future moment, so that the wave load borne by the ship can be predicted in advance, and the simulation effect of the ship navigation simulation scene is improved.
In some embodiments, the basic environmental data corresponding to the flow load model includes longitude and latitude, temperature, time, flow direction, and flow rate; inputting the basic environment data corresponding to the stream load model into the stream load model to obtain the stream load of the navigation scene, wherein the method comprises the following steps: and inputting the longitude and latitude, the temperature, the time, the flow direction and the flow velocity into a flow load model to obtain the flow load of the navigation scene.
S130, calculating load adjustment values of all environment load data according to the basic environment data and a plurality of correlation estimation models; each relevance pre-estimation model is used for predicting the influence of the environmental load data corresponding to the first environmental load model on the environmental load data corresponding to the second environmental load model; the first environmental load model and the second environmental load model are any two models of the plurality of environmental load models.
In the prior art, when calculating the ship load, the individual calculation is usually carried out on various loads, and various environmental data and load values are not interacted in a simulated scene, namely, wind elements in the environmental data are only used for predicting the wind load, but in an actual environment, the wind elements have influence on the wave load. Therefore, in the embodiment of the invention, the correlation between wind load, wave load and flow load is realized by designing the correlation estimation model, and when certain environmental data changes, the three models are all adjusted to be more close to the actual environment. For example, when the current load changes (offshore ocean current changes), the wave load changes, but the ocean current is related to the prevailing wind tight cut, the wind load changes as well, and the wind load, the wave load and the current load are synchronously adjusted.
In the embodiment of the present invention, the correlation estimation model may be a neural network model, a knowledge graph, and the like, which is not limited herein. By acquiring various environmental data of offshore ocean currents, then analyzing the association relation among the change of wind elements, the change of wave elements and the change of flow elements, taking the change of wind elements, the change of wave elements and the change of flow elements as inputs, taking the correlation among the three models as outputs, and establishing a neural network model or a knowledge graph.
In some embodiments, S130 may include: and inputting the basic environment data and the environment load data corresponding to the first environment load model into the correlation estimation model to obtain a load adjustment value corresponding to the second environment load model.
And S140, adjusting the ship state in the sailing scene according to the environmental load data and the load adjustment value of each environmental load data.
In an embodiment of the invention, the ship dynamics comprise: coordinates, captain, width, draft, speed, heading and type; the reconstruction method is that VTS (vessel traffic services) data are fused through an AIS (automatic identification system, automatic vessel identification system), the navigation dynamics of the offshore vessel is monitored through an AIS base station, the vessel coordinates, the captain, the ship width, the draft, the speed, the course and the type are obtained, and meanwhile, the VTS data are used for carrying out time step encryption; and searching the matched ships in the VTS through the AIS data, and supplementing the ship coordinate, the navigational speed and the navigational direction information through the VTS during the time delay of the AIS data to obtain the continuous ship navigational dynamic with the time step less than 10 s.
Finally, based on the coordinates, the captain, the width, the draft, the navigational speed, the heading and the type of the ship, and by combining the structural parameters of the ship, the motion model of the ship can be built.
In some embodiments, S140 may include: calculating an actual environmental load according to the environmental load data and the load adjustment value; calculating ship response data according to the actual environmental load and the ship state data; and adjusting the ship state in the navigation scene according to the ship response data.
In the embodiment of the invention, the load adjustment value is a percentage, specifically a percentage of the environmental load data that needs to be adjusted, that is, the actual environmental load is equal to the environmental load data multiplied by the load adjustment value. The load adjustment value is mainly to dynamically adjust the current value so that the navigation environment obtained by simulating the input basic environment data is close to the current actual environment, and the predicted value is also calculated according to the input basic environment data, but is a future value, so that the influence caused by time change needs to be considered.
For example, the actual simulated value of the wind load is equal to the calculated wind load multiplied by the load adjustment value, but the actual simulated value of the wind load predicted value is: the calculated wind load is multiplied by the load adjustment value and then added to the calculated wind load to be averaged.
In some embodiments, S140 may include: calculating an actual environment load interval and the probability of each actual environment load in the interval according to the environment load data and the load adjustment value; calculating ship response data according to the actual environment load interval, the probability of each actual environment load in the interval and the ship state data; and adjusting the ship state in the navigation scene according to the ship response data.
The adjustment is performed according to the correlation between various environmental factors, but the environmental factors are generally complex and difficult to accurately calculate the correlation between the factors, so that after the actual environmental load is calculated, a load interval with the length of 0.2 times of the actual environmental load can be established by taking the actual environmental load as the center, and the simulated load can be any load in the actual environmental load interval. The probability distribution of the actual environmental load within the interval follows the normal distribution.
The beneficial effects of the invention are as follows:
the load under various actual environments is calculated through the most basic environment data and the corresponding load model, and the association relation between different loads is considered, so that the simulated sailing process is more similar to the actual sailing, and the simulated effect of ship sailing is effectively improved.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present invention.
Fig. 2 is a schematic structural diagram of a three-dimensional navigation scene simulation method device for ship design according to an embodiment of the present invention. As shown in fig. 2, in some embodiments, a three-dimensional navigation scenario simulation method apparatus 2 for a ship design includes:
an acquisition module 210, configured to acquire basic environmental data of a navigation scene;
the input module 220 is configured to input the basic environmental data into the corresponding environmental load model respectively, so as to obtain a plurality of environmental load data;
a calculation module 230, configured to calculate a load adjustment value of each environmental load data according to the basic environmental data and the plurality of correlation estimation models; each relevance pre-estimation model is used for predicting the influence of the environmental load data corresponding to the first environmental load model on the environmental load data corresponding to the second environmental load model; the first environmental load model and the second environmental load model are any two models of the plurality of environmental load models;
the adjusting module 240 is configured to adjust a ship state in a sailing scenario according to the environmental load data and the load adjustment values of the environmental load data.
Optionally, the calculating module 230 is configured to input the basic environmental data and the environmental load data corresponding to the first environmental load model into the correlation estimation model, so as to obtain a load adjustment value corresponding to the second environmental load model.
Optionally, the plurality of environmental load models includes a wind load model, a wave load model, and a flow load model; the input module 220 is configured to input basic environmental data corresponding to the wind load model into the wind load model, so as to obtain a wind load and a wind load predicted value of the sailing scene; inputting basic environment data corresponding to the wave load model into the wave load model to obtain linear wave load, nonlinear wave load and linear wave load predicted values of a navigation scene; and inputting the basic environment data corresponding to the stream load model into the stream load model to obtain the stream load of the navigation scene.
Optionally, the basic environmental data corresponding to the wind load model includes: longitude and latitude, temperature, time, rising drag coefficient, current wind speed, current wind direction, average ambient wind speed, wind direction average value and wind direction change amplitude; the input module 220 is configured to calculate a wind speed predicted value and a wind direction predicted value according to the longitude and latitude, the temperature, the time, the rising resistance coefficient, the current wind speed, the current wind direction, the average ambient wind speed, the wind direction average value, the wind direction change amplitude and the first prediction model; calculating the wind load of the sailing scene according to the lift drag coefficient, the current wind speed, the current wind direction, the average ambient wind speed, the wind direction average value, the wind direction change amplitude and the wind load model; and calculating the wind load predicted value of the sailing scene according to the lift resistance coefficient, the wind speed predicted value, the wind direction predicted value, the average ambient wind speed, the wind direction average value, the wind direction change amplitude and the wind load model.
Optionally, the basic environment data corresponding to the wave load model includes: longitude and latitude, temperature, time, wave height, wave direction and wave period; the input module 220 is configured to input longitude and latitude, temperature, time, wave height, wave direction and wave period into the wave load model to obtain first wave load data; decomposing the first wave load data to obtain linear wave load and nonlinear wave load of a navigation scene; and obtaining a linear wave load predicted value according to the longitude and latitude, the temperature, the time, the linear wave load and a second pre-established prediction model.
Optionally, the basic environment data corresponding to the flow load model includes longitude and latitude, temperature, time, flow direction and flow velocity; the input module 220 is configured to input the longitude and latitude, the temperature, the time, the flow direction and the flow velocity into the flow load model, and obtain the flow load of the navigation scene.
Optionally, the adjusting module 240 is configured to calculate, according to the environmental load data and the load adjustment value, an actual environmental load interval and a probability of each actual environmental load in the interval; calculating ship response data according to the actual environment load interval, the probability of each actual environment load in the interval and the ship state data; and adjusting the ship state in the navigation scene according to the ship response data.
Optionally, the adjusting module 240 is configured to calculate an actual environmental load according to the environmental load data and the load adjustment value; calculating ship response data according to the actual environmental load and the ship state data; and adjusting the ship state in the navigation scene according to the ship response data.
The three-dimensional navigation scene simulation method device for ship design provided by the embodiment can be used for executing the method embodiment, and the implementation principle and the technical effect are similar, and the embodiment is not repeated here.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. As shown in fig. 3, an electronic device 3 according to an embodiment of the present invention is provided, the electronic device 3 of the embodiment including: a processor 30, a memory 31 and a computer program 32 stored in the memory 31 and executable on the processor 30. The processor 30, when executing the computer program 32, implements the steps of the various embodiments of the three-dimensional navigation scenario simulation method for ship design described above, such as the steps shown in fig. 1. Alternatively, the processor 30, when executing the computer program 32, performs the functions of the modules/units of the system embodiments described above, e.g., the functions of the modules shown in fig. 2.
By way of example, the computer program 32 may be partitioned into one or more modules/units that are stored in the memory 31 and executed by the processor 30 to complete the present invention. One or more of the modules/units may be a series of computer program instruction segments capable of performing a specific function for describing the execution of the computer program 32 in the electronic device 3.
The electronic device 3 may be a terminal or a server, the terminal may be a mobile phone, an MCU, an ECU, an industrial personal computer, etc., and the server may be a physical server, a cloud server, etc., and is not limited herein. The electronic device 3 may include, but is not limited to, a processor 30, a memory 31. It will be appreciated by those skilled in the art that fig. 3 is merely an example of the electronic device 3 and does not constitute a limitation of the electronic device 3, and may include more or fewer components than shown, or may combine certain components, or different components, e.g., the electronic device may further include an input-output device, a network access device, a bus, etc.
The processor 30 may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field-programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 31 may be an internal storage unit of the electronic device 3, such as a hard disk or a memory of the electronic device 3. The memory 31 may also be an external storage device of the electronic device 3, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the electronic device 3. Further, the memory 31 may also include both an internal storage unit and an external storage device of the electronic device 3. The memory 31 is used to store computer programs and other programs and data required by the electronic device. The memory 31 may also be used to temporarily store data that has been output or is to be output.
The embodiment of the invention provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program realizes the steps in the embodiment of the three-dimensional navigation scene simulation method for ship design when being executed by a processor.
The computer readable storage medium stores a computer program 32, the computer program 32 includes program instructions, which when executed by the processor 30 implement all or part of the procedures in the methods of the above embodiments, or may be implemented by the computer program 32 by instructing the relevant hardware, and the computer program 32 may be stored in a computer readable storage medium, where the computer program 32, when executed by the processor 30, implements the steps of the various method embodiments described above. The computer program 32 comprises computer program code, which may be in the form of source code, object code, executable files, or in some intermediate form, among others. The computer readable medium may include: any entity or device capable of carrying computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth.
The computer readable storage medium may be an internal storage unit of the electronic device of any of the foregoing embodiments, such as a hard disk or a memory of the electronic device. The computer readable storage medium may also be an external storage device of the electronic device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the electronic device. Further, the computer-readable storage medium may also include both internal storage units and external storage devices of the electronic device. The computer-readable storage medium is used to store a computer program and other programs and data required for the electronic device. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present invention.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/electronic device and method may be implemented in other manners. For example, the apparatus/electronic device embodiments described above are merely illustrative, e.g., the division of modules or units is merely a logical functional division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, and the computer program may be stored in a computer readable storage medium, where the computer program, when executed by a processor, may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, executable files or in some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention.

Claims (10)

1. The three-dimensional navigation scene simulation method for the ship design is characterized by being applied to a navigation scene simulation system, wherein a plurality of environment load models are arranged in the navigation scene simulation system; the method comprises the following steps:
basic environment data of a navigation scene are acquired;
respectively inputting the basic environment data into corresponding environment load models to obtain a plurality of environment load data;
calculating load adjustment values of the environmental load data according to the basic environment data and the correlation estimation models; each relevance pre-estimation model is used for predicting the influence of the environmental load data corresponding to the first environmental load model on the environmental load data corresponding to the second environmental load model; the first environmental load model and the second environmental load model are any two models of the plurality of environmental load models;
and adjusting the ship state in the navigation scene according to the environmental load data and the load adjustment value of each environmental load data.
2. The three-dimensional navigation scenario simulation method for ship design according to claim 1, wherein calculating the load adjustment value of each environmental load data according to the basic environmental data and the plurality of correlation estimation models comprises:
and inputting the basic environment data and the environment load data corresponding to the first environment load model into the correlation estimation model to obtain a load adjustment value corresponding to the second environment load model.
3. The three-dimensional navigation scenario simulation method for ship design of claim 1, wherein the plurality of environmental load models comprises a wind load model, a wave load model, and a flow load model; inputting the basic environment data into a plurality of environment load models to obtain environment load data, wherein the method comprises the following steps:
inputting basic environment data corresponding to the wind load model into the wind load model to obtain wind load and wind load predicted values of the navigation scene;
inputting basic environment data corresponding to the wave load model into the wave load model to obtain linear wave load, nonlinear wave load and linear wave load predicted values of the navigation scene;
and inputting the basic environment data corresponding to the stream load model into the stream load model to obtain the stream load of the navigation scene.
4. A three-dimensional navigation scenario simulation method for a ship design according to claim 3, wherein the basic environmental data corresponding to the wind load model comprises: longitude and latitude, temperature, time, rising drag coefficient, current wind speed, current wind direction, average ambient wind speed, wind direction average value and wind direction change amplitude; inputting the basic environment data corresponding to the wind load model into the wind load model to obtain the wind load and the wind load predicted value of the navigation scene, wherein the method comprises the following steps:
calculating a wind speed predicted value and a wind direction predicted value according to longitude and latitude, temperature, time, rising resistance coefficient, current wind speed, current wind direction, average ambient wind speed, wind direction average value, wind direction change amplitude and a first predicted model;
calculating the wind load of the sailing scene according to the lift drag coefficient, the current wind speed, the current wind direction, the average ambient wind speed, the wind direction average value, the wind direction change amplitude and the wind load model;
and calculating the wind load predicted value of the sailing scene according to the lift resistance coefficient, the wind speed predicted value, the wind direction predicted value, the average ambient wind speed, the wind direction average value, the wind direction change amplitude and the wind load model.
5. A three-dimensional navigation scenario simulation method for a ship design according to claim 3, wherein the basic environmental data corresponding to the wave load model comprises: longitude and latitude, temperature, time, wave height, wave direction and wave period; inputting the basic environment data corresponding to the wave load model into the wave load model to obtain linear wave load, nonlinear wave load and linear wave load predicted values of the navigation scene, wherein the method comprises the following steps:
inputting longitude and latitude, temperature, time, wave height, wave direction and wave period into a wave load model to obtain first wave load data;
decomposing the first wave load data to obtain linear wave load and nonlinear wave load of a navigation scene;
and obtaining a linear wave load predicted value according to the longitude and latitude, the temperature, the time, the linear wave load and a second pre-established prediction model.
6. A three-dimensional navigation scenario simulation method for ship design according to claim 3, wherein the basic environmental data corresponding to the flow load model includes longitude and latitude, temperature, time, flow direction and flow velocity; inputting the basic environment data corresponding to the stream load model into the stream load model to obtain the stream load of the navigation scene, wherein the method comprises the following steps:
and inputting the longitude and latitude, the temperature, the time, the flow direction and the flow velocity into a flow load model to obtain the flow load of the navigation scene.
7. The three-dimensional navigation scenario simulation method for ship design according to any one of claims 1-6, wherein adjusting the ship state in the navigation scenario according to the environmental load data and the load adjustment value comprises:
calculating an actual environmental load according to the environmental load data and the load adjustment value;
calculating ship response data according to the actual environmental load and the ship state data;
and adjusting the ship state in the navigation scene according to the ship response data.
8. The three-dimensional navigation scenario simulation method for ship design according to any one of claims 1-6, wherein adjusting the ship state in the navigation scenario according to the environmental load data and the load adjustment value comprises:
calculating an actual environment load interval and the probability of each actual environment load in the interval according to the environment load data and the load adjustment value;
calculating ship response data according to the actual environment load interval, the probability of each actual environment load in the interval and the ship state data;
and adjusting the ship state in the navigation scene according to the ship response data.
9. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor, when executing the computer program, implements the steps of the three-dimensional navigation scenario simulation method for a vessel design according to any one of the preceding claims 1 to 8.
10. A computer-readable storage medium, characterized in that it stores a computer program which, when executed by a processor, implements the steps of the three-dimensional navigation scenario simulation method for a vessel design according to any one of the preceding claims 1 to 8.
CN202311782610.7A 2023-12-22 2023-12-22 Three-dimensional navigation scene simulation method, equipment and storage medium for ship design Pending CN117709119A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311782610.7A CN117709119A (en) 2023-12-22 2023-12-22 Three-dimensional navigation scene simulation method, equipment and storage medium for ship design

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311782610.7A CN117709119A (en) 2023-12-22 2023-12-22 Three-dimensional navigation scene simulation method, equipment and storage medium for ship design

Publications (1)

Publication Number Publication Date
CN117709119A true CN117709119A (en) 2024-03-15

Family

ID=90155125

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311782610.7A Pending CN117709119A (en) 2023-12-22 2023-12-22 Three-dimensional navigation scene simulation method, equipment and storage medium for ship design

Country Status (1)

Country Link
CN (1) CN117709119A (en)

Similar Documents

Publication Publication Date Title
CN107688906B (en) Multi-method fused transmission line meteorological element downscaling analysis system and method
CN111860146B (en) Ocean front region acquisition method and device, computer equipment and storage medium
CN110910448B (en) Marine oil spill drift track tracing method
Mittendorf et al. Sea state identification using machine learning—A comparative study based on in-service data from a container vessel
CN112949178A (en) Sea surface wind field wind speed intelligent prediction forecasting system based on deep learning, computer equipment and storage medium
CN112347218B (en) Unmanned ship environment map generation method and unmanned ship sensing system
CN115205706B (en) Remote sensing data acquisition method and device, electronic equipment and computer readable medium
Tinka et al. Quadratic programming based data assimilation with passive drifting sensors for shallow water flows
KR20200119732A (en) Method and device for generating high-resolution ocean data
Jie et al. A novel estimation algorithm for interpolating ship motion
Yang et al. An approach to ship behavior prediction based on AIS and RNN optimization model
CN115859116A (en) Marine environment field reconstruction method based on radial basis function regression interpolation method
Saha et al. A combined numerical and neural technique for short term prediction of ocean currents in the Indian Ocean
CN111824357B (en) Test method, test device, electronic equipment and computer readable storage medium
CN116523152B (en) Float drift prediction method, device, equipment and medium
US20230314144A1 (en) System and method for estimating drift path of marine floating body
Wang et al. Filling gaps in significant wave height time series records using bidirectional gated recurrent unit and cressman analysis
WO2024039553A1 (en) Data informed ocean simulations
CN117709119A (en) Three-dimensional navigation scene simulation method, equipment and storage medium for ship design
CN116306790A (en) Offshore ship track real-time prediction method, system, equipment and medium based on CNN-GRU and attention mechanism
CN113836661B (en) Time prediction method, model training method, related device and electronic equipment
CN109614742A (en) A kind of sea level height duration prediction algorithm
CN117113798A (en) Drift velocity prediction method, device, equipment and storage medium for floating object
Fan et al. Research on shipborne aided navigation system based on enhanced traffic environment perception
Guan et al. Rain fall predict and comparing research based on Arcgis and BP neural network

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