CN116630907A - Ship navigation digital twin method, system, terminal and storage medium based on remote sensing - Google Patents

Ship navigation digital twin method, system, terminal and storage medium based on remote sensing Download PDF

Info

Publication number
CN116630907A
CN116630907A CN202310645590.2A CN202310645590A CN116630907A CN 116630907 A CN116630907 A CN 116630907A CN 202310645590 A CN202310645590 A CN 202310645590A CN 116630907 A CN116630907 A CN 116630907A
Authority
CN
China
Prior art keywords
information
ship
virtual
real
remote sensing
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
CN202310645590.2A
Other languages
Chinese (zh)
Inventor
王旭禹
王世金
徐颖
于嘉宁
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.)
Digital Space Beijing Technology Co ltd
Original Assignee
Digital Space Beijing Technology Co ltd
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 Digital Space Beijing Technology Co ltd filed Critical Digital Space Beijing Technology Co ltd
Priority to CN202310645590.2A priority Critical patent/CN116630907A/en
Publication of CN116630907A publication Critical patent/CN116630907A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/52Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G06V20/54Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/40Business processes related to the transportation industry
    • 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
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Human Resources & Organizations (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Economics (AREA)
  • Tourism & Hospitality (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Game Theory and Decision Science (AREA)
  • Development Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Multimedia (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Navigation (AREA)

Abstract

The application relates to a remote sensing-based ship navigation digital twin method, a remote sensing-based ship navigation digital twin system, a remote sensing-based ship navigation digital twin terminal and a remote sensing-based ship navigation digital twin storage medium, and belongs to the field of ship navigation; the remote sensing-based ship navigation digital twin method comprises the steps of obtaining real information and virtual information, wherein the real information comprises entity information and environment information, the entity information refers to actual object information in the real world, and the virtual information comprises virtual entity information corresponding to the entity information and virtual environment information corresponding to the environment information; linking the real information and the virtual information; establishing a digital twin model according to the real information and the virtual information; and carrying out real-time monitoring analysis on the ship according to the digital twin model and outputting an analysis result. The application has the effect of improving the navigation management efficiency and safety of the ship.

Description

Ship navigation digital twin method, system, terminal and storage medium based on remote sensing
Technical Field
The application relates to the field of ship navigation, in particular to a remote sensing-based ship navigation digital twin method, a remote sensing-based ship navigation digital twin system, a remote sensing-based ship navigation digital twin terminal and a remote sensing-based ship navigation digital twin storage medium.
Background
Currently, in the field of ship navigation, an AIS (AutomaticIdentification System, automatic ship identification system) is mainly used for visual monitoring; the AIS can be used for realizing mutual identification between marine ships and between ships and a marine traffic management center; while AIS may provide information such as vessel identification code, vessel type, location, heading, speed, navigational status and related security information; however, the information provided by the AIS is relatively fuzzy, the accuracy is low, and the determination of the ship behavior and the accurate assistance of the ship route cannot be realized through the AIS.
Disclosure of Invention
The application provides a remote sensing-based ship navigation digital twin method, a remote sensing-based ship navigation digital twin system, a remote sensing-based ship navigation digital twin terminal and a remote sensing-based ship navigation digital twin storage medium.
The application aims at providing a ship navigation digital twin method based on remote sensing.
The first object of the present application is achieved by the following technical solutions:
a remote sensing-based digital twin method for sailing a ship, comprising:
acquiring real information and virtual information, wherein the real information comprises entity information and environment information, the entity information refers to actual object information in the real world, and the virtual information comprises virtual entity information corresponding to the entity information and virtual environment information corresponding to the environment information;
linking the real information and the virtual information;
establishing a digital twin model according to the real information and the virtual information;
and carrying out real-time monitoring analysis on the ship according to the digital twin model and outputting an analysis result.
The present application may be further configured in a preferred example, wherein the acquiring entity information includes:
acquiring ship navigation data by utilizing satellite remote sensing;
identifying the ship by using a preset target identification model to obtain ship characteristic data;
and processing and extracting the ship navigation data and the ship characteristic data to obtain entity information.
The present application may be further configured in a preferred example, wherein the acquiring the environmental information includes:
acquiring marine environment information by utilizing satellite remote sensing;
acquiring weather sea state big data information;
and obtaining the environment information according to the marine environment information and the meteorological sea condition big data information.
The present application may be further configured in a preferred example, wherein the linking the real information and the virtual information includes:
invoking preset services, wherein the preset services comprise a physical entity-oriented service and a virtual mirror-oriented service;
and linking the real information and the virtual information according to the preset service.
The application aims at providing a ship navigation digital twin system based on remote sensing.
The second object of the present application is achieved by the following technical solutions:
a remote sensing based digital twin system for marine navigation, comprising:
the system comprises an acquisition module, a storage module and a storage module, wherein the acquisition module is configured to acquire real information and virtual information, the real information comprises entity information and environment information, the entity information refers to actual object information in the real world, and the virtual information comprises virtual entity information corresponding to the entity information and virtual environment information corresponding to the environment information;
a link module configured to link the real information and the virtual information;
a building module configured to build a digital twin model from the real information and the virtual information;
and the analysis module is configured to perform ship real-time monitoring analysis according to the digital twin model and output an analysis result.
The present application may be further configured in a preferred example, wherein the acquiring module includes:
a ship navigation data acquisition unit configured to acquire ship navigation data using satellite remote sensing;
the identifying unit is configured to identify the ship by utilizing a preset target identifying model to obtain ship characteristic data;
and the processing unit is configured to process and extract the ship navigation data and the ship characteristic data to obtain entity information.
The present application may be further configured in a preferred example, wherein the acquisition module further includes:
the marine environment information acquisition unit is used for acquiring marine environment information by utilizing satellite remote sensing;
the meteorological sea condition information acquisition unit is used for acquiring meteorological sea condition big data information;
and the integration unit is used for obtaining the environment information according to the marine environment information and the meteorological sea condition big data information.
The present application may be further configured in a preferred example, wherein the link module includes:
a retrieving unit configured to retrieve preset services including a physical entity-oriented service and a virtual mirror-oriented service;
and a linking unit configured to link the real information and the virtual information according to the preset service.
The application aims at providing a terminal.
The third object of the present application is achieved by the following technical solutions:
a terminal comprising a memory and a processor, the memory having stored thereon computer program instructions of the above remote sensing based digital twin method of vessel navigation, which can be loaded and executed by the processor.
A fourth object of the present application is to provide a computer medium capable of storing a corresponding program.
The fourth object of the present application is achieved by the following technical solutions:
a computer readable storage medium storing a computer program loadable by a processor and performing any of the remote sensing based digital twin methods of vessel navigation.
In summary, the application has the following beneficial technical effects:
the digital twin model obtained by the ship navigation digital twin method can carry out real-time monitoring analysis on the ship, carry out digital twin on the ship navigation process and the activity event, truly restore the ship navigation process through real-time data driving, and prepare and identify the related information of the ship through remote sensing images, further correct the ship running track by utilizing the related means, and optimize the prediction accuracy of the ship pre-abutment destination and the pre-abutment time; thereby achieving the effect that the constructed digital twin navigation of the ship resembles the real world; the determination of the behavior of the ship is improved, and the accuracy of the route is improved.
Drawings
Fig. 1 is a schematic flow chart of a remote sensing-based ship navigation digital twin method in an embodiment of the application.
Fig. 2 is a schematic structural diagram of a remote sensing-based digital twin system for ship navigation in an embodiment of the application.
Reference numerals illustrate: 1. an acquisition module; 2. a linking module; 3. establishing a module; 4. and an analysis module.
Detailed Description
The present embodiment is only for explanation of the present application and is not to be construed as limiting the present application, and modifications to the present embodiment, which may not creatively contribute to the present application as required, are within the scope of the claims of the present application as far as they are protected by patent law.
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Embodiments of the application are described in further detail below with reference to the drawings.
The application provides a remote sensing-based ship navigation digital twin method, and the main flow of the method is described as follows.
As shown in fig. 1:
step S101: and acquiring real information and virtual information.
The real information comprises entity information and environment information, wherein the entity information refers to actual object information in the real world, and the environment information is relevant information for representing the real environment; in the embodiment of the application, the source of the digital world mainly constructed by digital twinning comes from the real world, so that the operations of identifying, classifying, inputting and the like are needed to be carried out on the entity elements in the real world so as to facilitate the subsequent operations; in correspondence with the present application, the physical elements include satellites, ships, ports, etc.; the physical entity represented by the entity element exists in a certain physical environment, and the behavior, the performance, the state and the like of the physical entity are related to the external physical environment; therefore, the relevant information of the physical environment affecting the navigation process of the ship, including the geographic topography, the submarine topography and the meteorological sea conditions, needs to be screened and identified accurately; wherein the submarine topography can be reefs, islands, etc.; the meteorological sea conditions can be wind speed, wind direction, sea wave, wave height and the like.
In the embodiment of the application, the marine environment information is acquired by utilizing satellite remote sensing; acquiring weather sea state big data information; obtaining environmental information according to the marine environmental information and the meteorological sea condition big data information; acquiring ship navigation data by utilizing satellite remote sensing; identifying the ship by using a preset target identification model to obtain ship characteristic data; and processing and extracting the ship navigation data and the ship characteristic data to obtain entity information.
The acquired data comprise acquisition data of physical entities and physical environments, such as remote sensing images of ships, marine meteorological sea condition environment monitoring and forecasting data, wind speed, wind direction, sea waves, wave heights and the like of all areas; and further, remote sensing image data of a port, remote sensing satellite operation orbit parameters, load information and the like.
In the embodiment of the application, various data in the navigation process of the ship are acquired by utilizing a satellite remote sensing technology, including remote sensing images, meteorological conditions and the like of the ship, and data such as geographic topography, electronic chart, sea conditions and the like are acquired in a mode such as big data; it should be noted that the manner of acquiring the data is not limited herein, and only the data need be acquired.
After the original data is obtained, a plurality of preprocessing operations are needed to be carried out so as to carry out feature extraction and modeling, wherein the preprocessing includes data cleaning, de-duplication, de-noising, missing value filling and the like; by preprocessing the data originally, the processed data is more standard, the usability of the data is improved, and the processing efficiency of the subsequent processing steps is further improved.
Step S102: and linking the real information and the virtual information.
Specifically, a preset service is invoked, wherein the preset service comprises a physical entity-oriented service and a virtual mirror-oriented service; linking the real information and the virtual information according to the preset service; the services in this embodiment are classified into two services for physical entity and virtual mirror. These services enable physical entities to work as intended by real-time regulation and maintain high fidelity of virtual images by physical entity to image model relationship calibration and model parameter calibration. The services facing the physical entity mainly comprise remote sensing monitoring, track prediction, evaluation optimization, rule mining, association analysis and other services; the services facing the virtual mirror image mainly comprise a model construction service, a calibration service, a test service and the like; the real information and the virtual information are linked through the service, so that the stability of connection between the real information and the virtual information is improved, the accuracy of comparison of the real data and the virtual data is improved, and the accuracy of determination and calibration of ship behaviors is improved.
Step S103: and establishing a digital twin model according to the real information and the virtual information.
Performing data feature engineering on the preprocessed data; that is, a series of data augmentation such as numbering, uniform resolution, segmentation, and resolution is performed on the remote sensing image; aiming at sea conditions, sea charts and geographic topography data, characteristic engineering is carried out according to specific conditions of the data, and key information such as a route, a port position, sea water flow velocity, wave height, wind direction, wind speed and the like is extracted.
Executing a target recognition process, recognizing a ship target in the remote sensing image by using artificial intelligence technologies such as image recognition, target detection, image segmentation and the like, and extracting characteristic data of the ship, including contour, color, texture, size, position, gesture, other machine recognition characteristic information and the like; the target recognition model is obtained in advance according to a sample set and machine learning training.
Constructing a three-dimensional model and a corresponding scene, and constructing a three-dimensional model of a ship and a port based on remote sensing images and feature extraction data; and constructing a three-dimensional scene based on data such as geographic topography, three-dimensional electronic sea chart, sea state, weather and the like.
The method comprises the steps of establishing a data model, combining the environmental data such as sea water flow rate, wave height, wind direction, wind speed and the like based on characteristic data such as ship position, size, gesture and the like, and adopting the technologies such as machine learning, deep learning and the like to establish the data model for predicting the navigation process of the ship under different environmental conditions, wherein the calculation comprises calculation of the speed, position and track of the ship. And verifying and testing the established digital twin model according to actual data, and evaluating the accuracy and reliability of the data model by comparing the model prediction result with the actual ship running condition, and performing optimization iterative training on the model to improve the practicability and the data depth of the model.
Step S104: and carrying out real-time monitoring analysis on the ship according to the digital twin model and outputting an analysis result.
After the digital twin model is obtained, the model established by the digital twin system can be utilized to monitor and analyze the ship in real time. The method can be applied to the aspects of ship navigation optimization, ship target tracking and monitoring, ship target behavior rule mining, ship abnormal behavior monitoring and alarming and the like.
The following describes the application effect of the digital twin model using specific examples; for example, the ship tracking and monitoring, the ship monitoring data of a large-range sea area/sea area is obtained through satellite remote sensing, the functions of speed measurement and calculation, track drawing, track prediction, pre-supporting place and pre-supporting time deduction and the like of the ship can be realized according to a digital twin model, and the ship can be continuously imaged according to the ship track prediction result and through the technologies of satellite mission planning and the like, so that the tracking and monitoring of the ship can be realized; and then, if the ship sailing rule is mined, based on the collected data, the data analysis and the mining technology are applied to mine the ship sailing rule. Specifically, differences and commonalities of sailing behaviors of the ship in different time periods and different areas are found out through methods such as cluster analysis, association rule mining and time sequence analysis, and rules are formed. In the process of excavating the ship navigation law, various models can be established to help analyze and predict the navigation behavior of the ship. Commonly used models include bayesian network based predictive models, support vector machine based classification models, and the like. Real-time prediction and application. Through the established model, the navigation behavior of the future ship can be predicted, and the navigation intention of the ship target can be judged in an auxiliary manner. Timely finding abnormal conditions which do not accord with the navigation rule, and alarming abnormal ships; and the navigation process is optimized and improved, and the traffic safety and the transportation efficiency of the ship are improved. Under the condition that severe weather conditions are predicted, the route and the speed can be adjusted in advance, so that the influence on the ship is reduced.
In the embodiment of the application, the digital twin model can be utilized to realize the analysis and statistics of the navigation data of the ship and to excavate the navigation rule of the ship; the ship navigation process is monitored by optimizing the ship route, and the ship navigation process is optimized and improved; when abnormal conditions which do not accord with the navigation rules appear on the ship, warning information is sent to the ship; however, in the actual ship sailing process, special conditions may occur, so that the ship does not sail according to a given route, at this time, the system alerts the ship according to the sailing rule, however, the ship does not make abnormal behaviors at this time and only makes adaptive adjustment according to the actual conditions, so that the system should not send out warning information at this time; in order to avoid the system from giving false warning information, specific analysis of abnormal behavior of the ship is required.
Specifically, abnormal behavior information and navigation rule information of the ship are obtained; determining ship position information according to the ship abnormal behavior information; determining regional abnormality information according to the ship position information; judging whether the regional abnormality information is a cause of abnormal navigation of the ship according to the regional abnormality information; if yes, determining abnormal influence range information according to regional abnormality information; determining the time for the ship to leave the abnormal region according to the abnormal influence range information and the ship navigation speed information; determining the real-time position of the ship according to the abnormal region time of the ship when the ship exits; judging the distance information between the ship and the set route according to the real-time position of the ship; acquiring real-time ship position judgment information according to the distance information and preset real-time safety distance information; if the real-time ship position judgment information is abnormal, warning information is sent to the ship; if the real-time ship position judgment information is normal, no warning information is sent to the transmission.
It can be understood that after the abnormal behavior information of the ship is obtained, determining the position of the ship according to the abnormal behavior information of the ship; then analyzing abnormal information of the real-time location of the ship; if the ship navigation abnormality is caused by the abnormality of the ship location, judging regional abnormality information, and determining how long the ship can travel out of the influence range of the regional abnormality according to the current navigation speed of the ship; after the running-out time is obtained, determining the real-time position of the ship according to the running-out time, and judging the distance between the real-time position of the ship and a given route; determining whether the current position of the ship is an abnormal position or not through a preset safety distance; that is, if the ship voyage abnormality is caused by a regional abnormality, the ship should travel back on a given course or the distance from the given course is within a safe distance after a given time has elapsed; however, if the distance between the two is beyond the safety distance, other abnormal behaviors of the ship are indicated, and warning information needs to be sent to the ship to remind the ship to return to the set route; by the method, the possibility of sending out wrong warning information by the system is reduced, and the accuracy of monitoring ship navigation by the system is improved.
The application also provides a remote sensing-based ship navigation digital twin system, as shown in fig. 2, which comprises an acquisition module 1, a control module and a control module, wherein the acquisition module 1 is configured to acquire real information and virtual information, the real information comprises entity information and environment information, the entity information refers to actual object information in the real world, and the virtual information comprises virtual entity information corresponding to the entity information and virtual environment information corresponding to the environment information; a link module 2 configured to link the real information and the virtual information; a building module 3 configured to build a digital twin model from the real information and virtual information; and the analysis module 4 is configured to perform ship real-time monitoring analysis according to the digital twin model and output analysis results.
The acquisition module comprises a ship navigation data acquisition unit which is configured to acquire ship navigation data by utilizing satellite remote sensing; the identifying unit is configured to identify the ship by utilizing a preset target identifying model to obtain ship characteristic data; the processing unit is configured to process and extract the ship navigation data and the ship characteristic data to obtain entity information; the marine environment information acquisition unit is used for acquiring marine environment information by utilizing satellite remote sensing; the meteorological sea condition information acquisition unit is used for acquiring meteorological sea condition big data information; and the integration unit is used for obtaining the environment information according to the marine environment information and the meteorological sea condition big data information.
The link module comprises a calling unit configured to call preset services, wherein the preset services comprise a physical entity-oriented service and a virtual mirror-oriented service; and a linking unit configured to link the real information and the virtual information according to the preset service.
The building module comprises a processing unit, a data processing unit and a data processing unit, wherein the processing unit is configured to execute data characteristic engineering on the preprocessed data; an identification unit configured to perform a target identification process; a construction unit configured to construct a three-dimensional model and a corresponding scene; and a building unit configured to build a data model.
The analysis module is configured to perform real-time monitoring analysis on the ship according to the digital twin model, so that the ship navigation optimization, ship target tracking and monitoring, ship target behavior rule mining, ship abnormal behavior detection and other aspects are applied.
Through the cooperation of the acquisition module, the linking module, the establishing module and the analysis module, a virtual frame for supporting the ship navigation digital twin method is constructed, the ship navigation process and the activity event are digitally twin, the ship navigation process is truly restored, the ship running track can be corrected and optimized, the prediction accuracy of the ship pre-abutment destination and the pre-abutment time is improved, and the accuracy of the ship running route is improved.
In order to better execute the program of the method, the application also provides a terminal, which comprises a memory and a processor.
Wherein the memory may be used to store instructions, programs, code, sets of codes, or sets of instructions. The memory may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function, instructions for implementing the remote sensing-based digital twin method for vessel navigation, and the like; the storage data area can store data and the like involved in the remote sensing-based ship navigation digital twin method.
The processor may include one or more processing cores. The processor performs the various functions of the application and processes the data by executing or executing instructions, programs, code sets, or instruction sets stored in memory, calling data stored in memory. The processor may be at least one of an application specific integrated circuit, a digital signal processor, a digital signal processing device, a programmable logic device, a field programmable gate array, a central processing unit, a controller, a microcontroller, and a microprocessor. It will be appreciated that the electronics for implementing the above-described processor functions may be other for different devices, and embodiments of the present application are not particularly limited.
The present application also provides a computer-readable storage medium, for example, comprising: a usb disk, a removable hard disk, a read-only memory (ReadOnlyMemory, ROM), a random access memory (RandomAccess Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes. The computer readable storage medium stores a computer program that can be loaded by a processor and that performs the remote sensing based digital twin method of vessel navigation.
The above description is only illustrative of the preferred embodiments of the present application and of the principles of the technology employed. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in the present application is not limited to the specific combinations of technical features described above, but also covers other technical features which may be formed by any combination of the technical features described above or their equivalents without departing from the spirit of the disclosure. Such as the above-mentioned features and the technical features disclosed in the present application (but not limited to) having similar functions are replaced with each other.

Claims (10)

1. A remote sensing-based digital twin method for sailing a ship, comprising:
acquiring real information and virtual information, wherein the real information comprises entity information and environment information, the entity information refers to actual object information in the real world, and the virtual information comprises virtual entity information corresponding to the entity information and virtual environment information corresponding to the environment information;
linking the real information and the virtual information;
establishing a digital twin model according to the real information and the virtual information;
and carrying out real-time monitoring analysis on the ship according to the digital twin model and outputting an analysis result.
2. The remote sensing-based digital twin method for vessel navigation of claim 1, wherein obtaining entity information comprises:
acquiring ship navigation data by utilizing satellite remote sensing;
identifying the ship by using a preset target identification model to obtain ship characteristic data;
and processing and extracting the ship navigation data and the ship characteristic data to obtain entity information.
3. The remote sensing-based digital twin method for vessel navigation of claim 2, wherein acquiring environmental information comprises:
acquiring marine environment information by utilizing satellite remote sensing;
acquiring weather sea state big data information;
and obtaining the environment information according to the marine environment information and the meteorological sea condition big data information.
4. The remote sensing-based digital twin method for vessel navigation according to claim 1, wherein the linking the real information and the virtual information comprises:
invoking preset services, wherein the preset services comprise a physical entity-oriented service and a virtual mirror-oriented service;
and linking the real information and the virtual information according to the preset service.
5. A remote sensing-based digital twin system for sailing a ship, comprising:
an acquisition module (1) configured to acquire real information and virtual information, the real information including entity information and environment information, the entity information referring to actual object information in the real world, the virtual information including virtual entity information corresponding to the entity information, and virtual environment information corresponding to the environment information;
a linking module (2) configured to link the real information and virtual information;
a building module (3) configured to build a digital twin model from the real information and virtual information;
and the analysis module (4) is configured to perform ship real-time monitoring analysis according to the digital twin model and output analysis results.
6. The remote sensing based vessel voyage digital twinning system of claim 5, wherein the acquisition module comprises:
a ship navigation data acquisition unit configured to acquire ship navigation data using satellite remote sensing;
the identifying unit is configured to identify the ship by utilizing a preset target identifying model to obtain ship characteristic data;
and the processing unit is configured to process and extract the ship navigation data and the ship characteristic data to obtain entity information.
7. The remote sensing based vessel voyage digital twinning system of claim 6, wherein the acquisition module further comprises:
the marine environment information acquisition unit is used for acquiring marine environment information by utilizing satellite remote sensing;
the meteorological sea condition information acquisition unit is used for acquiring meteorological sea condition big data information;
and the integration unit is used for obtaining the environment information according to the marine environment information and the meteorological sea condition big data information.
8. The remote sensing based marine vessel voyage digital twinning system of claim 5, wherein the linking module comprises:
a retrieving unit configured to retrieve preset services including a physical entity-oriented service and a virtual mirror-oriented service;
and a linking unit configured to link the real information and the virtual information according to the preset service.
9. A terminal comprising a memory and a processor, the memory having stored thereon computer program instructions capable of being loaded by the processor and performing the method according to any of claims 1-7.
10. A computer readable storage medium, characterized in that a computer program is stored which can be loaded by a processor and which performs the method according to any of claims 1-7.
CN202310645590.2A 2023-06-01 2023-06-01 Ship navigation digital twin method, system, terminal and storage medium based on remote sensing Pending CN116630907A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310645590.2A CN116630907A (en) 2023-06-01 2023-06-01 Ship navigation digital twin method, system, terminal and storage medium based on remote sensing

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310645590.2A CN116630907A (en) 2023-06-01 2023-06-01 Ship navigation digital twin method, system, terminal and storage medium based on remote sensing

Publications (1)

Publication Number Publication Date
CN116630907A true CN116630907A (en) 2023-08-22

Family

ID=87609674

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310645590.2A Pending CN116630907A (en) 2023-06-01 2023-06-01 Ship navigation digital twin method, system, terminal and storage medium based on remote sensing

Country Status (1)

Country Link
CN (1) CN116630907A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117928567A (en) * 2024-03-21 2024-04-26 湖南睿图智能科技有限公司 Ship auxiliary driving enhancing method

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110221546A (en) * 2019-05-21 2019-09-10 武汉理工大学 The ship intelligence control system test platform of virtual reality fusion
KR20210116798A (en) * 2020-03-16 2021-09-28 사단법인 부산산학융합원 Wave information collecting device for economic operation of ship using digital twin
CN114882759A (en) * 2022-06-10 2022-08-09 青岛科技大学 Virtual-real hybrid integrated simulation intelligent ship multi-channel interactive simulation system and method
CN115205706A (en) * 2022-08-17 2022-10-18 数字太空(北京)科技股份公司 Remote sensing data acquisition method and device, electronic equipment and computer readable medium
KR20230023844A (en) * 2021-08-10 2023-02-20 한국오일앤가스기자재기술협동조합 Method For Predicting And Avoiding Ship Collision Possibility Using Digital Twin

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110221546A (en) * 2019-05-21 2019-09-10 武汉理工大学 The ship intelligence control system test platform of virtual reality fusion
KR20210116798A (en) * 2020-03-16 2021-09-28 사단법인 부산산학융합원 Wave information collecting device for economic operation of ship using digital twin
KR20230023844A (en) * 2021-08-10 2023-02-20 한국오일앤가스기자재기술협동조합 Method For Predicting And Avoiding Ship Collision Possibility Using Digital Twin
CN114882759A (en) * 2022-06-10 2022-08-09 青岛科技大学 Virtual-real hybrid integrated simulation intelligent ship multi-channel interactive simulation system and method
CN115205706A (en) * 2022-08-17 2022-10-18 数字太空(北京)科技股份公司 Remote sensing data acquisition method and device, electronic equipment and computer readable medium

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117928567A (en) * 2024-03-21 2024-04-26 湖南睿图智能科技有限公司 Ship auxiliary driving enhancing method

Similar Documents

Publication Publication Date Title
Zhang et al. A big data analytics method for the evaluation of ship-ship collision risk reflecting hydrometeorological conditions
CN111159924B (en) Method and apparatus for predicting drift trajectory
KR101982582B1 (en) System for evaluation of vessel based by automatic identification system data and marine environment data connected big data
CN115131393A (en) Trajectory prediction method, collision detection method, apparatus, electronic device, and medium
CN110069582B (en) Ship anchoring area determining method, device, equipment and storage medium
CN115410420B (en) Ship safe navigation management method and system
CN116630907A (en) Ship navigation digital twin method, system, terminal and storage medium based on remote sensing
CN115050214B (en) AIS data-based ship collision risk prediction method
CN111062383A (en) Image-based ship detection depth neural network algorithm
CN116429118B (en) Fishing boat safety production supervision method and system based on Internet of things
CN115346399B (en) Bridge ship collision prevention early warning system based on phased array radar, AIS and LSTM network
CN117556197B (en) Typhoon vortex initialization method based on artificial intelligence
CN114881336A (en) Method, system, computer equipment and storage medium for automatically marking virtual navigation mark
CN113538971A (en) Risk ship detection method based on multi-source heterogeneous data fusion
Bonham et al. Analysing port and shipping operations using big data
CN111429701B (en) Alarm method, device, equipment and storage medium
CN114331042A (en) Ship collision risk analysis method
CN117527528B (en) Communication state detection report analysis method and system based on Beidou positioning
CN116384597B (en) Dynamic prediction method and system for port entering and exiting of fishing port ship based on geographic information system
Pereira et al. A 3-D Lightweight Convolutional Neural Network for Detecting Docking Structures in Cluttered Environments
CN117037547B (en) Congestion degree evaluation method, system and storage medium for channel key nodes
CN117032016B (en) Unmanned ship on-board sensor monitoring control method, system and equipment
CN116767461B (en) Ship anchoring behavior detection method and device and electronic equipment
CN116469013B (en) Road ponding prediction method, device, computer equipment and storage medium
CN116308828B (en) Intelligent damage assessment method and system for vehicle with integrated and fused risk data

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