A multi-source information access and target integrated processing system and method

Abstract

This invention provides a multi-source information access and target integrated processing system and method. This invention improves the efficiency and accuracy of data processing, dynamically displays wind, wave, and ocean current meteorological information, and provides an intuitive presentation of information. This facilitates users' rapid acquisition of necessary information, enabling a comprehensive understanding of sea conditions and ship status, providing crucial information for navigation and emergency decision-making, and helping users perceive ship position and maritime situation in real time. Simultaneously, it can fuse acoustic information with surface vessel data, thereby improving the accuracy of autonomous processing by underwater unmanned platforms, reducing human intervention, and enhancing the reliability and accuracy of judgment results. This leads to better management of shipping safety and provides strong support for shipping safety and maritime activities.

Description

Technical Field

[0001] This invention relates to the field of marine exploration technology, and in particular to a multi-source information access and target integrated processing system and method. Background Technology

[0002] The complexity and variability of the marine environment pose numerous challenges to traditional marine monitoring and navigation safety. The marine environment involves multiple data sources, including acoustic data, meteorological data, and Automatic Identification System (AIS) data. Efficiently fusing and processing this multi-source information to improve data accuracy and real-time performance is a significant challenge. Furthermore, with the large number of vessels at sea, quickly and accurately sensing their location, navigation status, and surrounding sea conditions is crucial for navigation safety. Achieving real-time situational awareness of vessels at sea has become an urgent problem to solve. Moreover, utilizing modern technologies to improve the autonomous processing accuracy of underwater unmanned platforms, reduce human intervention, and enhance the reliability and accuracy of judgment results are pressing issues that need to be addressed.

[0003] Therefore, it is necessary to provide a multi-source information access and target integrated processing system and method to solve the above-mentioned technical problems. Summary of the Invention

[0004] To address the aforementioned technical problems, this invention provides a multi-source information access and target integrated processing system and method, which achieves the fusion processing of acoustic information and surface vessel data, thereby improving the autonomous processing accuracy of underwater unmanned platforms, reducing human intervention, and enhancing the reliability and accuracy of judgment results. This, in turn, better manages shipping safety and provides strong support for shipping safety and maritime activities.

[0005] The present invention provides a multi-source information access and target integrated processing system and method, wherein the processing system includes a terminal sensing unit, a communication transmission unit, a storage unit, a data resource unit, a general service unit and a business application unit;

[0006] The terminal sensing unit includes:

[0007] Front-end sensing devices are used to realize target early warning functions, and the front-end sensing devices specifically include unmanned platforms;

[0008] Wave energy is used to receive AIS information in the deployment area, serving as a target sensing terminal for the water surface.

[0009] The data acquisition module is used to receive and import external AIS, wind, wave, and ocean current data;

[0010] The communication transmission unit is used to transmit external AIS, wind, wave and ocean current data to the shore-based command and control receiver, and the receiver sends the data to the general service unit through the serial port to obtain the target data.

[0011] The storage unit is used to store the data of the unmanned platform and the target data in the database system, and to store the AIS and meteorological data in the corresponding folders;

[0012] The data resource unit includes unmanned platform data, acoustic data, AIS data, and meteorological data, as well as system configuration and annotation business data;

[0013] The general service unit is used to implement multi-source information fusion, electronic chart display, and system management functions.

[0014] The business application unit is used to implement acoustic target display function, alarm data playback function, target comprehensive processing function, target comprehensive situation display function, meteorological data display function, platform data display function, and area marking function.

[0015] A method for multi-source information access and target integration processing, the processing method comprising the following steps:

[0016] S1. Configure the functions of the integrated processing system;

[0017] S2. Receive acoustic data from the unmanned platform and receive AIS, ocean current, wind field and wave data of the designated sea area through the one-way import integrated processing system, and dynamically display wind, wave and ocean current meteorological information through the integrated processing system.

[0018] S3. Use the integrated processing system to deduplicatize the received identical AIS targets, display the latest received AIS targets, set time periods for target filtering and situation display within the area, and perform data playback for specific vessels.

[0019] S4. Based on the fusion of multi-source information from the integrated processing system, the position of surface ships is estimated according to the time point of target detection by the unmanned platform, and the situation is displayed under the same time standard to obtain the integrated processing result.

[0020] Preferably, step S1 specifically includes the following steps:

[0021] S1.1. Based on task requirements, different points, lines, and polygon areas can be customized;

[0022] S1.2 Set the target attitude display, which specifically includes vessel detection, vessel identification, target display, vessel wake display, multi-window independent display, vessel information display, target alarm display, and alarm playback display;

[0023] S1.3 Set up weather display, specifically including viewing wind, wave and current data of the task sea area, displaying the weather particle map of the set area on the nautical chart, and displaying data values;

[0024] S1.4 Set up target detection alarm, specifically including issuing a warning after receiving alarm data from the unmanned platform, saving the alarm information locally, and displaying the alarm data in a list;

[0025] S1.5. Set up comprehensive processing functions, including comprehensive processing settings and processing result reporting.

[0026] Preferably, step S2 specifically includes the following steps:

[0027] S2.1 Establish a data access channel to ensure smooth acoustic data transmission from the unmanned platform, receive acoustic data from the unmanned platform and receive AIS, ocean current, wind field and wave data from the designated sea area through a one-way import integrated processing system;

[0028] S2.2 Analyze and process the received acoustic data, extract key features, and perform correlation analysis with AIS data, ocean currents, wind fields, and wave data;

[0029] S2.3 Input the processed acoustic data and other relevant data into the integrated processing system, and realize the real-time display of wind, wave, ocean current meteorological information through the dynamic display module, so that users can have a comprehensive understanding of sea conditions and ship target status.

[0030] Preferably, step S3 specifically includes the following steps:

[0031] S3.1. Perform deduplication on the received AIS target data to remove duplicate information and obtain the processed AIS target data.

[0032] S3.2 Based on the processed AIS target data, users can interactively select the time range and region to filter targets and display their status within the region according to a specific time period;

[0033] S3.3: Play back historical data of specific vessels to help users analyze vessel behavior and route planning.

[0034] Preferably, step S4 specifically includes the following steps:

[0035] S4.1. Through a multi-source information fusion algorithm, acoustic data, AIS data, ocean current, wind field and wave data of unmanned platform are integrated to obtain integrated data and ensure the spatiotemporal consistency of different data sources so that they can be uniformly processed and analyzed in the integrated processing system.

[0036] S4.2 Based on the time point of target detection by the unmanned platform, combined with the fused multi-source data information, calculate the actual position of the surface vessel, and ensure that the integrated data is displayed under a unified time standard;

[0037] S4.3. The integrated data will be analyzed and processed, and displayed intuitively on the interface of the integrated processing system. The latest integrated processing results will be reported at any time.

[0038] Compared with related technologies, the multi-source information access and target comprehensive processing system and method provided by the present invention have the following beneficial effects:

[0039] This invention improves the efficiency and accuracy of data processing, dynamically displays wind, wave, and ocean current meteorological information, and provides an intuitive presentation of the information. This allows users to quickly obtain the information they need, enabling them to fully understand sea conditions and ship status, providing important basis for navigation and emergency decision-making, and helping users perceive ship position and maritime situation in real time. At the same time, it can fuse acoustic information with surface vessel data, thereby improving the accuracy of autonomous processing of underwater unmanned platforms, reducing human intervention, and improving the reliability and accuracy of judgment results. This leads to better management of shipping safety and provides strong support for shipping safety and maritime activities. Attached Figure Description

[0040] Figure 1 This is a schematic diagram of the integrated processing system architecture of the present invention;

[0041] Figure 2 This is a schematic diagram of the deployment of the integrated processing system of the present invention. Detailed Implementation

[0042] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0043] Example 1

[0044] Reference Figure 1 and Figure 2 This embodiment provides a multi-source information access and target integrated processing system and method. The processing system includes a terminal sensing unit, a communication transmission unit, a storage unit, a data resource unit, a general service unit, and a business application unit.

[0045] The terminal sensing unit includes:

[0046] Front-end sensing devices are used to implement target early warning functions, and these devices specifically include unmanned platforms.

[0047] Wave energy is used to receive AIS information in the deployment area, serving as a target sensing terminal for the water surface.

[0048] The data acquisition module is used to receive and import external AIS, wind, wave, and ocean current data.

[0049] The communication transmission unit is used to transmit external AIS, wind, wave and ocean current data to the shore-based command and control receiver, and the receiver sends the data to the general service unit through the serial port to obtain the target data.

[0050] The storage unit is used to store the data of the unmanned platform and the target data in the database system, and to store the AIS and meteorological data in the corresponding folders.

[0051] Specifically, alarm target data is stored in a local file. The system reads the alarm records from the file and displays them in the alarm list. Selecting an alarm record in the alarm list displays the alarm platform on the electronic nautical chart, showing the distribution of vessels around the platform at that time and the handling results. The list can display information such as platform number, remaining battery power, update time, longitude, latitude, platform depth, and target bearing.

[0052] The data resource unit includes unmanned platform data, acoustic data, AIS data, and meteorological data, as well as system configuration and annotation business data.

[0053] The general service unit is used to implement multi-source information fusion, electronic chart display, and system management functions.

[0054] The business application unit is used to implement acoustic target display function, alarm data playback function, target comprehensive processing function, target comprehensive situation display function, meteorological data display function, platform data display function, and area marking function.

[0055] When the integrated processing system is applied, existing display devices can be used to display the interface, allowing for independent display of different windows. Each window has independent parameter settings and supports zoom in / out, half-screen, and full-screen modes. Specifically, the integrated processing system generates a ship list from the received ship information. Operators can view all ships in the list, and clicking on a ship will center the nautical chart at the clicked location, simultaneously displaying detailed information about the clicked ship. This includes comprehensive ship information such as ship name, MMSI number, ship type, navigation status, registry, latitude, longitude, beam, length, speed, heading, and AIS source. Furthermore, after receiving AIS data, the integrated processing system records and saves the data in a database for later retrieval. The displayed information includes MMS number, update time, ship name, latitude and longitude, heading, speed, and platform type. Double-clicking on list information displays the ship information on the nautical chart.

[0056] Deployment of integrated processing system, such as Figure 2 As shown.

[0057] Example 2

[0058] This embodiment provides a method for multi-source information access and target integration processing, the processing method including the following steps:

[0059] S1. Configure the functions of the integrated processing system.

[0060] S2. Receive acoustic data from the unmanned platform and AIS, ocean current, wind field, and wave data of the designated sea area through a one-way import integrated processing system, and dynamically display wind, wave, and ocean current meteorological information through the integrated processing system.

[0061] S3. Use the integrated processing system to deduplicatize the received identical AIS targets, display the latest received AIS targets, set time periods for target filtering and situation display within the area, and perform data playback for specific vessels.

[0062] S4. Based on the fusion of multi-source information from the integrated processing system, the position of surface ships is estimated according to the time point of target detection by the unmanned platform, and the situation is displayed under the same time standard to obtain the integrated processing result.

[0063] Specifically, step S1 includes the following steps:

[0064] S1.1. Based on task requirements, different points, lines, and polygon areas can be customized.

[0065] S1.2. Set the target attitude display, which specifically includes ship detection, ship identification, target display, ship wake display, multi-window independent display, ship information display, target alarm display, and alarm playback display.

[0066] The integrated processing system tracks, processes, and displays received vessel information (multi-target and single-target), supports AIS and radar target fusion, and vessel identification is mainly based on data sources, including radar data, AIS data, and their fused data. It also classifies vessel information according to the vessel's heading, speed, and navigation trajectory characteristics, including navigation status such as stationary, sailing, and sailing while turning. Target display can fuse radar targets and AIS targets, and targets are distinguished by specific symbols during display.

[0067] S1.3 Set up weather display, which includes viewing wind, wave and current data of the task sea area, displaying the weather particle map of the set area on the nautical chart, and displaying data values.

[0068] S1.4 Set up alarms for detected targets, specifically including issuing a warning after receiving alarm data from the unmanned platform, saving the alarm information locally, and displaying the alarm data in a list.

[0069] S1.5 Configure integrated processing functions, specifically including integrated processing settings and processing result reporting. After the integrated processing settings are configured, the processing rules are displayed in list form. Users can add processing rules and modify processing rule parameter values ​​in the list. Processing rules include parameters such as minimum speed, maximum speed, detection range, and target track correlation threshold.

[0070] Specifically, step S2 includes the following steps:

[0071] S2.1 Establish a data access channel to ensure smooth acoustic data transmission from the unmanned platform, and receive acoustic data from the unmanned platform and AIS, ocean current, wind field and wave data from the designated sea area through a one-way import integrated processing system.

[0072] S2.2 Analyze and process the received acoustic data, extract key features, and perform correlation analysis with AIS data, ocean currents, wind fields, and wave data.

[0073] S2.3 Input the processed acoustic data and other relevant data into the integrated processing system, and realize the real-time display of wind, wave, ocean current meteorological information through the dynamic display module, so that users can have a comprehensive understanding of sea conditions and ship target status.

[0074] Specifically, step S3 includes the following steps:

[0075] S3.1. Perform deduplication on the received AIS target data to remove duplicate information and obtain the processed AIS target data.

[0076] S3.2 Based on the processed AIS target data, users can interactively select the time range and region to filter targets and display their status within the region according to a specific time period.

[0077] S3.3: Play back historical data of specific vessels to help users analyze vessel behavior and route planning.

[0078] Specifically, step S4 includes the following steps:

[0079] S4.1. Through a multi-source information fusion algorithm, acoustic data, AIS data, ocean current, wind field and wave data of the unmanned platform are integrated to obtain integrated data and ensure the spatiotemporal consistency of different data sources so that they can be uniformly processed and analyzed in the integrated processing system.

[0080] Specifically, this embodiment uses a multi-source information fusion method based on DS evidence theory to provide the final discrimination result of the detected target type, thereby improving the accuracy of underwater target processing.

[0081] S4.2 Based on the time point of target detection by the unmanned platform, and combined with the fused multi-source data information, calculate the actual position of the surface vessel, and ensure that the integrated data is displayed under a unified time standard.

[0082] Specifically, the unmanned platform detects targets and AIS targets, performing orientation-based target association to obtain association coefficients, such as:

[0083] Let the trajectory of the underwater unmanned platform's target location detection be θ(n), n=1 , 2, ..., N, where N is the number of azimuth history data points. During the target detection period, the azimuth data of the maritime AIS target relative to the unmanned platform is as follows: i = 1, 2, ..., N AIS N AIS Set the number of AIS ships within the warning range for the glider. Then solve for θ(n) using the following formula. The correlation coefficient ρ is shown in the following formula:

[0084]

[0085] In the above formula, Δ is the average azimuth difference between the detected target's azimuth and the AIS azimuth. Due to the unique cross-cycle phenomenon of the target azimuth angle, in order to avoid the azimuth difference calculation problem caused by the azimuth angle jumping around 0° or 360°, the transformation domain method is used to calculate the azimuth difference between the target azimuth and the AIS azimuth. That is, the target azimuth and the AIS azimuth are regarded as unit vectors, and the angle difference between the two angles is mapped to the difference between the two unit vectors. After the above process, the accurate Δ value can be obtained, and its range is [0, 180]. It can be seen from the above formula that the correlation coefficient ρ ranges from [0, 1]. The larger the azimuth difference Δ, the smaller ρ is, and the smaller the azimuth difference Δ, the larger ρ is, which is in line with the target correlation law. When the correlation coefficient ρ is large, it indicates that the detected target is likely to be the same target as the AIS ship target.

[0086] S4.3. The integrated data will be analyzed and processed, and displayed intuitively on the interface of the integrated processing system. The latest integrated processing results will be reported at any time.

[0087] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0088] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium capable of carrying or storing data.

[0089] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

Claims

1. A method for multi-source information access and target integration processing, characterized in that, The processing method includes the following steps: S1. Configure the functions of the integrated processing system; S2. Receive acoustic data from underwater unmanned platforms and receive AIS, ocean current, wind field and wave data of a designated sea area through a one-way import integrated processing system, and dynamically display wind, wave and ocean current meteorological information through the integrated processing system. S2.1 Establish a data access channel to ensure smooth acoustic data transmission from the underwater unmanned platform, receiving acoustic data from the underwater unmanned platform and AIS, ocean current, wind field, and wave data from a designated sea area via a one-way import integrated processing system; S2.2 Analyze and process the received acoustic data, extract key features, and perform correlation analysis with AIS data, ocean current, wind field, and wave data; S2.3 Input the processed acoustic data and other relevant data into the integrated processing system, and realize real-time display of wind, wave, and ocean current meteorological information through a dynamic display module, so that users can have a comprehensive understanding of sea conditions and ship target status; S3. Use the integrated processing system to deduplicatize the received identical AIS targets, display the latest received AIS targets, set time periods for target filtering and situation display within the area, and perform data playback for specific vessels. S4. Based on the fusion of multi-source information from the integrated processing system, and according to the target detection time of the underwater unmanned platform, the position of surface ships is estimated, and the situation is displayed under the same time standard to obtain the integrated processing result. The underwater unmanned platform (UAV) detects targets and AIS targets based on azimuth, obtaining the correlation coefficient. Let the azimuth history of the detected targets be θ(n), n = 1, 2, ..., N, where N is the number of azimuth history data points. During the target detection period, the azimuth data of the AIS targets at sea relative to the underwater UAV are as follows: N AIS Set the number of AIS ships within the warning range for the glider; solve for θ(n) using the following formula. The correlation coefficient ρ: In the formula, Δ is the average azimuth difference between the detected target's azimuth and the AIS azimuth.

2. The method for multi-source information access and target integration processing according to claim 1, characterized in that, Step S1 specifically includes the following steps: S1.

1. Based on task requirements, different point, line, and polygon areas can be customized; S1.2 Set the target attitude display, which specifically includes vessel detection, vessel identification, target display, vessel wake display, multi-window independent display, vessel information display, target alarm display, and alarm playback display; S1.3 Set up weather display, specifically including viewing wind, wave and current data of the task sea area, displaying the weather particle map of the set area on the nautical chart, and displaying data values; S1.4 Set up target detection alarm, specifically including issuing a warning after receiving alarm data from the underwater unmanned platform, saving the alarm information locally, and displaying the alarm data in a list; S1.

5. Set up integrated processing functions, which include integrated processing settings and processing result reporting. After the integrated processing settings are set up, the processing rules are displayed in the form of a list. Users can add processing rules and modify the parameter values ​​of processing rules in the list. The processing rules include minimum speed, maximum speed, detection range, and target track correlation threshold.

3. The method for multi-source information access and target integration processing according to claim 1, characterized in that, Step S3 specifically includes the following steps: S3.

1. Perform deduplication on the received AIS target data to remove duplicate information and obtain the processed AIS target data. S3.2 Based on the processed AIS target data, users can interactively select the time range and region to filter targets and display their status within the region according to a specific time period; S3.

3. Play back historical data of specific vessels to help users analyze vessel behavior and route planning.

4. The method for multi-source information access and target integration processing according to claim 1, characterized in that, Step S4 specifically includes the following steps: S4.

1. Through a multi-source information fusion algorithm, acoustic data, AIS data, ocean current, wind field and wave data of underwater unmanned platform are integrated to obtain integrated data and ensure the spatiotemporal consistency of different data sources. S4.2 Based on the target detection time of the underwater unmanned platform and combined with the fused multi-source data information, calculate the actual position of the surface vessel and ensure that the integrated data is displayed under a unified time standard. S4.

3. The integrated data will be analyzed and processed, and displayed intuitively on the interface of the integrated processing system. The latest integrated processing results will be reported at any time.

5. A multi-source information access and target integrated processing system, characterized in that, The processing system is used to implement the multi-source information access and target comprehensive processing method as described in any one of claims 1-4, and the processing system includes: a terminal sensing unit, a communication transmission unit, a storage unit, a data resource unit, a general service unit, and a business application unit; The terminal sensing unit includes: Front-end sensing equipment is used to realize target early warning function. Specifically, the front-end sensing equipment includes an underwater unmanned platform; wave energy is used to realize AIS information reception in the deployment area, serving as a water surface target sensing terminal; and a data acquisition module is used to receive and import external AIS, wind, wave, and ocean current data. The communication transmission unit is used to transmit external AIS, wind, wave and ocean current data to the shore-based command and control receiver, and the receiver sends the data to the general service unit through the serial port to obtain the target data. The storage unit is used to store the data of the underwater unmanned platform and the target data in the database system, and to store the AIS and meteorological data in the corresponding folders. The data resource unit includes data from underwater unmanned platforms, acoustic data, AIS data, and meteorological data, as well as system configuration and annotation business data; The general service unit is used to implement multi-source information fusion, electronic chart display, and system management functions. The business application unit is used to implement acoustic target display function, alarm data playback function, target comprehensive processing function, target comprehensive situation display function, meteorological data display function, platform data display function, and area marking function.

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