A method and apparatus for multi-point synchronous processing of shipborne navigation data

Abstract

This application provides a method and apparatus for multi-point synchronization processing of shipborne navigation data, relating to the field of data processing technology. The method includes: acquiring shipborne navigation state data, including an instantaneous state set; appending data to adjacent instantaneous states in the instantaneous state set to obtain an appended instantaneous state set and an additional instantaneous state set; combining the appended instantaneous state set and the instantaneous state set to obtain an enhanced instantaneous state set; authenticating the synchronization of the enhanced instantaneous state set based on the acquisition source to obtain a synchronization coefficient; evaluating the acquisition quality of the state data based on the synchronization coefficient; and fusing the enhanced instantaneous state set based on the acquisition quality evaluation result to obtain a fused instantaneous state set. This application solves the technical problem of ineffective synchronization of ship state data in existing technologies, achieving the technical goal of efficient synchronization of ship state data and improving the accuracy of ship state analysis.

Description

Technical Field

[0001] This application relates to the field of data processing technology, and in particular to a method and apparatus for multi-point synchronous processing of shipborne navigation data. Background Technology

[0002] Existing ship navigation data acquisition technologies primarily rely on various sensors and devices, such as GPS positioning, radar, anemometers, and engine monitoring systems. These sensors provide instantaneous data on the ship's position, speed, heading, and acceleration at different acquisition cycles. However, traditional data acquisition methods have some shortcomings, limiting the accuracy and real-time performance of ship condition analysis.

[0003] Currently, traditional ship status data acquisition methods generally suffer from synchronization problems between different sensors. Ship status data comes from multiple different sensor devices, and the data acquisition times of these sensors are often inconsistent, making it impossible to effectively fuse and analyze the acquired data. Data from different sensors may have time discrepancies, resulting in asynchronous or inconsistent ship status data, severely impacting the accuracy of data analysis. For example, when a ship simultaneously acquires data from multiple sensors, if the timestamps of these data are inaccurate, it may lead to an inability to accurately assess the ship's actual condition at certain instantaneous moments.

[0004] In summary, existing technologies suffer from technical problems due to discrepancies in data acquisition time between different sensors, which prevents effective synchronization of ship status data. This further affects the accuracy of data fusion and analysis, thereby impacting the accurate assessment of the ship's real-time status and the assurance of navigation safety. Summary of the Invention

[0005] The purpose of this application is to provide a method and apparatus for multi-point synchronization processing of shipborne navigation data, in order to solve the technical problem in the prior art where the deviation in data acquisition time between different sensors leads to the inability to effectively synchronize ship status data, which further affects the accuracy of data fusion and analysis, and consequently affects the accurate assessment of the ship's real-time status and the guarantee of navigation safety.

[0006] In view of the above problems, this application provides a method and apparatus for multi-point synchronous processing of shipborne navigation data.

[0007] In a first aspect, this application provides a method for multi-point synchronization processing of shipborne navigation data, implemented through a device for multi-point synchronization processing of shipborne navigation data, comprising: acquiring shipborne navigation state data, the state data including an instantaneous state set, the instantaneous state set corresponding to a state instantaneous set; appending data to adjacent state instantaneous moments in the state instantaneous set to obtain an appended instantaneous state set and an appended state instantaneous set; combining the appended instantaneous state set and the instantaneous state set to obtain an enhanced instantaneous state set; performing synchronization authentication on the enhanced instantaneous state set according to the acquisition source to obtain a synchronization coefficient; evaluating the acquisition quality of the state data based on the synchronization coefficient; and fusing the enhanced instantaneous state set according to the acquisition quality evaluation result to obtain a fused instantaneous state set.

[0008] Secondly, this application also provides a multi-point synchronization processing apparatus for shipborne navigation data, used to execute a multi-point synchronization processing method for shipborne navigation data as described in the first aspect, comprising: a state data acquisition module, the state data acquisition module being used to acquire shipborne navigation state data, the state data including an instantaneous state set, the instantaneous state set corresponding to a state instantaneous set; a data appending module, the data appending module being used to append data to adjacent state instantaneous moments in the state instantaneous set, obtaining an appended instantaneous state set and an appended state instantaneous set; a data combining module, the data combining module being used to combine data according to the appended instantaneous state set and the instantaneous state set, obtaining an enhanced instantaneous state set; a synchronization authentication module, the synchronization authentication module being used to perform synchronization authentication on the enhanced instantaneous state set according to the acquisition source, obtaining a synchronization coefficient; and an acquisition quality evaluation module, the acquisition quality evaluation module being used to evaluate the acquisition quality of the state data according to the synchronization coefficient, and to fuse the enhanced instantaneous state set according to the acquisition quality evaluation result, obtaining a fused instantaneous state set.

[0009] The technical solution provided in this application has at least the following technical effects or advantages: by acquiring shipboard navigation state data, the state data includes an instantaneous state set, the instantaneous state set corresponding to a state instantaneous set; data is appended to adjacent state instantaneous moments in the state instantaneous set to obtain an appended instantaneous state set and an appended state instantaneous set; data is combined based on the appended instantaneous state set and the instantaneous state set to obtain an enhanced instantaneous state set; synchronization is authenticated for the enhanced instantaneous state set based on the acquisition source to obtain a synchronization coefficient; the acquisition quality of the state data is evaluated based on the synchronization coefficient; and the enhanced instantaneous state set is fused based on the acquisition quality evaluation result to obtain a fused instantaneous state set. In other words, by achieving the technical goal of efficient synchronization and accurate fusion of ship state data, the accuracy, real-time performance, and reliability of ship state analysis are improved, thereby better ensuring navigation safety and improving ship management efficiency.

[0010] The above description is merely an overview of the technical solution of this application. To better understand the technical means of this application and to facilitate its implementation according to the description, and to make the above and other objects, features, and advantages of this application more apparent, specific embodiments of this application are described below. It should be understood that the content described in this section is not intended to identify key or important features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent through the following description. Attached Figure Description

[0011] To more clearly illustrate the technical solutions in this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0012] Figure 1 This is a flowchart illustrating a multi-point synchronization processing method for shipborne navigation data according to this application.

[0013] Figure 2 This is a schematic diagram of the structure of a multi-point synchronous processing device for shipborne navigation data according to this application.

[0014] Explanation of reference numerals in the attached figures:

[0015] The module includes a status data acquisition module 11, a data appending module 12, a data combination module 13, a synchronization authentication module 14, and a data acquisition quality assessment module 15. Detailed Implementation

[0016] This application provides a method and apparatus for multi-point synchronization processing of shipborne navigation data, solving the technical problem in the prior art where deviations in data acquisition time between different sensors lead to ineffective synchronization of ship status data, further affecting the accuracy of data fusion and analysis, and consequently impacting the accurate assessment of the ship's real-time status and the assurance of navigation safety. The application achieves the technical goal of efficient synchronization and accurate fusion of ship status data, thereby improving the accuracy, real-time performance, and reliability of ship status analysis, ultimately better ensuring navigation safety and enhancing ship management efficiency.

[0017] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. It should be understood that this application is not limited to the exemplary embodiments described herein. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application. It should also be noted that, for ease of description, only the parts related to this application are shown in the accompanying drawings, not all of them.

[0018] Example 1, please refer to the appendix. Figure 1 This application provides a method for multi-point synchronization processing of shipborne navigation data, which is applied to a device for multi-point synchronization processing of shipborne navigation data. Specifically, it includes: acquiring the state data of shipborne navigation, wherein the state data includes an instantaneous state set, and the instantaneous state set corresponds to the state instantaneous set.

[0019] Specifically, various data from the ship are collected in real time by different sensors and devices as state data to reflect the ship's current operating status. For example, GPS-acquired location information describes the ship's latitude and longitude, while speed and heading reflect the ship's instantaneous motion state. An instantaneous state set refers to the collection of ship operating data recorded by corresponding sensors at a specific point in time, including position, speed, heading, acceleration, engine status, etc., which can present the ship's real-time state. The instantaneous state set is the corresponding time point of the data set acquired by the sensors.

[0020] Data is appended to adjacent state instants in the state instant set to obtain an appended instant state set and an appended state instant set.

[0021] Specifically, by adding data collection at intervals between the initial collection points, more real-time information can be obtained. This addition not only makes the instantaneous state set more complete but also improves the continuity and real-time performance of the data, enabling a more accurate reflection of the ship's state changes between two points in time. For example, if the original collection cycle was once per minute, by adding collection points between the initial collection points, the modified collection cycle becomes once every thirty seconds. The added collection points are used as the added instantaneous state set, and the collected data from the added instantaneous state set is used as the added instantaneous state set.

[0022] The augmented instantaneous state set is obtained by combining the additional instantaneous state set with the instantaneous state set.

[0023] Specifically, the additional instantaneous state set is combined with the original instantaneous state set. After the new data is combined with the original data, all the data collected are more compact in time and can more accurately reflect the changes in the ship's state between two points in time. The enhanced instantaneous state set formed by combining the additional data with the original instantaneous state set is more complete and continuous than the original dataset. It can capture the changes in the ship's operating state more accurately through more frequent sampling.

[0024] The enhanced instantaneous state set is synchronized based on the data acquisition source to obtain the synchronization coefficient.

[0025] Specifically, synchronicity authentication of the enhanced instantaneous state set based on the data acquisition source refers to comparing data from different sources collected by different sensors or devices at the same point in time to assess whether the data from different sources are consistent in time. The higher the degree of consistency of the data from different sources at that point in time, the larger the value of the synchronicity coefficient at that point in time, and vice versa. Time alignment between data sources can more accurately reflect the real-time state changes of the ship, improving the reliability and accuracy of the analysis.

[0026] The acquisition quality of the state data is evaluated based on the synchronization coefficient, and the enhanced instantaneous state set is fused based on the acquisition quality evaluation result to obtain a fused instantaneous state set.

[0027] Specifically, the quality of ship status data acquisition is assessed based on the synchronization coefficient to determine the reliability and accuracy of the data. A higher synchronization coefficient indicates better data acquisition quality from different sources, while a lower coefficient suggests potential sensor or equipment acquisition biases, resulting in poorer acquisition quality and requiring further processing. By aligning data from multiple sensors according to their time points and combining the synchronization coefficients corresponding to different data sources, the higher-quality data from each source is selected and merged. This results in more complete and accurate ship status data, better reflecting the ship's actual operational status.

[0028] The aforementioned method for multi-point synchronization processing of shipborne navigation data is applied to a multi-point synchronization processing device for shipborne navigation data. It can achieve the technical goal of efficient synchronization and accurate fusion of ship status data, thereby improving the accuracy, real-time performance, and reliability of ship status analysis, and thus better ensuring navigation safety and improving ship management efficiency.

[0029] Furthermore, this application also includes: appending the time of adjacent state instants to the first state instant set of the first acquisition source to obtain a first appended state instant set, wherein the first acquisition source is extracted according to the acquisition source, and the first state instant set is extracted according to the state instant set; supplementing the first instant state set with data according to the first appended state instant set to obtain a first appended instant state set, wherein the first instant state set is extracted according to the instant state set and corresponds to the first state instant set; appending data to the instant state set based on the first appended instant state set to obtain the appended instant state set, wherein the appended instant state set corresponds to the appended state instant set.

[0030] Specifically, a first appended set of state instants is obtained by appending time to adjacent state instants using the first state instant set from the first acquisition source. The appending involves inserting new acquisition data time points between two adjacent acquisition time points, thereby shortening the data time interval and further enhancing data continuity and real-time performance. The first acquisition source refers to any acquisition source randomly selected from multiple acquisition sources. The acquisition time points of the first acquisition source are used as the first state instant set.

[0031] Next, the first instantaneous state set is supplemented with data based on the first additional instantaneous state set to fill the gaps between the collection time points and obtain the first additional instantaneous state set. This makes the time distribution of the data more compact, expands and improves the original state set, and helps to more accurately reflect the state changes of the ship between two time points.

[0032] Based on the first supplementary instantaneous state set, data is appended to the instantaneous state set. The state data originally collected at time intervals is further refined to obtain the supplementary instantaneous state set, which corresponds to the first supplementary instantaneous state set. Through the data appending process, the sampling frequency is increased, thereby improving the timeliness and continuity of the data, making the changes in the ship's state more smoothly presented, and thus providing a more accurate basis for subsequent analysis.

[0033] Furthermore, this application also includes: extracting a first instant and a second instant from the first state instant set, wherein the first instant and the second instant are adjacent state instants; appending time to the first instant and the second instant to obtain a first appended instant, wherein the distance from the first appended instant to the first instant is the same as the distance to the second instant; supplementing the first instant state set with the data of the first appended instant based on the appended state model to obtain a first appended instant state; and supplementing the first instant state set with data based on the first appended instant state to obtain the first appended instant state set.

[0034] Specifically, two state data points at adjacent time points are extracted from the first state instantaneous dataset. The first and second instants represent different points in time for the ship. The time appending process inserts new data collection points between these two adjacent instants, making the data time intervals more dense. The appended time points maintain the same distance as the first and second instants to ensure the temporal symmetry of the new data points, thus more accurately describing changes in the ship's state. The appended state model is derived by mathematically modeling the existing state dataset to calculate the state data for the first appended instant, thereby filling the gaps in the original data and making the ship's operational state smoother and more continuous in the time dimension, further improving the timeliness and reliability of the data.

[0035] Based on the first additional instantaneous state, data is collected from any two adjacent original collection times in the first instantaneous state set to supplement the data, thereby obtaining the first additional instantaneous state set, forming a more complete and continuous state dataset. As a result, the description of the ship's state becomes more accurate and can more accurately reflect the dynamic changes of the ship at each point in time.

[0036] Furthermore, this application also includes: training an additional generation channel based on adjacent instantaneous samples and adjacent state samples in the first state sample set as generation samples; training an additional discrimination channel based on additional instantaneous samples and additional state samples as discrimination samples; fusing the additional generation channel and the additional discrimination channel to obtain the additional state model; inputting the first instant and the second instant into the additional state model for additional generation to obtain the first additional instantaneous state, wherein the first additional instantaneous state corresponds to the first additional instant.

[0037] Specifically, training samples are generated by extracting adjacent instantaneous samples and adjacent state samples from the first state sample set corresponding to the first acquisition source at historical time. The adjacent instantaneous samples are any adjacent time points in the ship state acquisition data time points, and the state samples are the state data acquired at that adjacent time point, which are then used to train the additional generation channel.

[0038] Next, an additional discrimination channel is trained based on the additional instantaneous samples and additional state samples as discrimination samples, thereby providing support for judging whether the generated data is reliable and whether it conforms to the actual operating conditions. The purpose of the discrimination channel is to judge whether the generated data meets expectations, ensuring that the generated instantaneous state data has high credibility and can accurately reflect the actual operating state of the ship. Then, an additional state model is obtained by fusing the additional generation channel and the additional discrimination channel, thereby improving the quality and accuracy of the data in multiple dimensions and ensuring the timeliness and continuity of the ship state data.

[0039] Finally, the first instant and the second instant are input into the supplementary state model for additional generation to obtain the first supplementary instant state. The first supplementary instant state corresponds to the first supplementary instant. After inputting the original first instant and the second instant data into the supplementary state model, new supplementary instant state data is output, thereby making the description of the ship's state more continuous and detailed.

[0040] Data generated by adding state models can fill the gaps between data collection points, shortening the data cycle and thus improving the timeliness and accuracy of the data.

[0041] Furthermore, this application also includes: obtaining the instantaneous sample step size and state sample step size of the first acquisition source; performing time series training based on the instantaneous sample step size and state sample step size to generate a full sequence state; extracting adjacent instantaneous samples, adjacent state samples, additional instantaneous samples, and additional state samples based on the full sequence state, wherein the additional instantaneous samples are at the same distance from the adjacent instantaneous samples.

[0042] Specifically, the instantaneous sample step size and the state sample step size of the first acquisition source are obtained. The instantaneous sample step size represents multiple instantaneous samples in the time series, while the state sample step size is the acquisition data corresponding to the instantaneous sample step size.

[0043] Next, time series training is performed based on the instantaneous sample step size and the state sample step size to generate the full sequence state. The ship state data is then organized into a complete time series according to the time interval, thereby comprehensively reflecting the ship's operating state and forming an orderly and continuous state sequence, providing a structured data foundation for subsequent analysis.

[0044] Then, adjacent instantaneous samples, adjacent state samples, additional instantaneous samples, and additional state samples are extracted based on the full sequence state. Among them, the additional instantaneous samples are equidistant from two time points in the adjacent instantaneous samples, filling the gaps in the time intervals, making the temporal distribution of the ship state data denser, and ensuring the consistency and coherence of the data time intervals.

[0045] By extracting adjacent samples from the entire sequence state and generating additional samples, the dataset is further improved, effectively increasing the continuity and timeliness of the data, so that changes in the ship's state can be captured more meticulously and accurately.

[0046] Furthermore, this application also includes: performing state synchronization authentication based on a first enhanced instantaneous state set of a first acquisition source and a traversed enhanced instantaneous state set of the acquisition source to obtain a first synchronization coefficient, wherein the first acquisition source extracts data based on the acquisition source; and traversing the acquisition source to perform traversal authentication on the enhanced instantaneous state set to obtain the synchronization coefficient.

[0047] Specifically, synchronization authentication will be performed using the enhanced instantaneous state set acquired by the first acquisition source and all enhanced instantaneous state sets obtained by sequentially accessing the acquisition sources. By comparing the correspondence of the data sets at the same point in time, the synchronization between the data from each acquisition source will be evaluated, ensuring the temporal consistency of each data source, thereby improving the overall accuracy and reliability of the data. The enhanced instantaneous state set of the first acquisition source is based on acquisition sources randomly extracted from multiple sensors or devices.

[0048] Next, by traversing different acquisition sources, synchronization authentication is performed on each enhanced instantaneous state set to obtain the synchronization coefficient between each acquisition source and other acquisition sources. This reflects the degree of time alignment between multiple data sources. The higher the value of the synchronization coefficient, the higher the consistency of the data from each source at the same time. Conversely, it indicates the existence of acquisition sources with acquisition data deviations.

[0049] By obtaining the synchronization coefficient, the temporal consistency and quality of the dataset can be effectively evaluated and improved.

[0050] Furthermore, this application also includes: comparing the synchronization coefficients based on a synchronization coefficient threshold to extract collaborative acquisition sources; fusing the collaborative instantaneous state sets of the collaborative acquisition sources to obtain the fused instantaneous state set, wherein the collaborative instantaneous state set is extracted based on the enhanced instantaneous state set.

[0051] Specifically, the synchronization coefficients of each acquisition source are compared based on a synchronization coefficient threshold. Acquisition sources with higher synchronization coefficients are selected, and collaborative acquisition sources that meet the synchronization coefficient threshold are extracted for collaborative operation. The synchronization coefficient threshold is set by those skilled in the art based on actual conditions.

[0052] Next, the collaborative instantaneous state set is extracted based on the enhanced instantaneous state set. Based on the selected collaborative acquisition sources, the collaborative instantaneous state set is extracted to ensure data consistency and reliability. By fusing the collaborative instantaneous state sets, a fused instantaneous state set is obtained. By integrating data from multiple collaborative acquisition sources, the completeness, accuracy, and timeliness of the data are improved, thus providing a more comprehensive reflection of the ship's operational status.

[0053] In summary, the multi-point synchronization processing method for shipborne navigation data provided in this application has the following technical effects: By acquiring shipborne navigation state data, which includes an instantaneous state set corresponding to a state instantaneous set; appending data to adjacent state instantaneous moments in the state instantaneous set to obtain an appended instantaneous state set and an appended state instantaneous set; combining the appended instantaneous state set with the instantaneous state set to obtain an enhanced instantaneous state set; performing synchronization authentication on the enhanced instantaneous state set based on the acquisition source to obtain a synchronization coefficient; evaluating the acquisition quality of the state data based on the synchronization coefficient; and fusing the enhanced instantaneous state set based on the acquisition quality evaluation result to obtain a fused instantaneous state set. In other words, by achieving the technical goal of efficient synchronization and accurate fusion of ship state data, the accuracy, real-time performance, and reliability of ship state analysis are improved, thereby better ensuring navigation safety and enhancing ship management efficiency.

[0054] Example 2: Based on the same inventive concept as the multi-point synchronization processing method for shipborne navigation data in the foregoing examples, this application also provides a multi-point synchronization processing apparatus for shipborne navigation data. Please refer to the appendix. Figure 2 The system includes: a state data acquisition module 11, which acquires shipboard navigation state data, including an instantaneous state set and a corresponding state instantaneous set; a data appending module 12, which appends data to adjacent state instantaneous sets in the state instantaneous set to obtain an appended instantaneous state set and an appended state instantaneous set; a data combining module 13, which combines the appended instantaneous state set and the instantaneous state set to obtain an enhanced instantaneous state set; a synchronization authentication module 14, which performs synchronization authentication on the enhanced instantaneous state set based on the acquisition source to obtain a synchronization coefficient; and an acquisition quality evaluation module 15, which evaluates the acquisition quality of the state data based on the synchronization coefficient and fuses the enhanced instantaneous state set based on the acquisition quality evaluation result to obtain a fused instantaneous state set.

[0055] Furthermore, the multi-point synchronization processing device for shipborne navigation data is also used for: appending adjacent state instants to the first state instant set of the first acquisition source to obtain a first appended state instant set, wherein the first acquisition source extracts data based on the acquisition source, and the first state instant set is extracted based on the state instant set; supplementing the first instant state set with data based on the first appended state instant set to obtain a first appended instant state set, wherein the first instant state set is extracted based on the instant state set and corresponds to the first state instant set; appending data to the instant state set based on the first appended instant state set to obtain the appended instant state set, wherein the appended instant state set corresponds to the appended state instant set.

[0056] Furthermore, the multi-point synchronization processing device for shipborne navigation data is also used for: extracting a first instant and a second instant from the first state instant set, wherein the first instant and the second instant are adjacent state instants; appending time to the first instant and the second instant to obtain a first appended instant, wherein the distance from the first appended instant to the first instant is the same as the distance to the second instant; supplementing the first instant state set with the data of the first appended instant based on the appended state model to obtain a first appended instant state; and supplementing the first instant state set with data based on the first appended instant state to obtain the first appended instant state set.

[0057] Furthermore, the multi-point synchronization processing device for shipborne navigation data is also used for: training an additional generation channel based on adjacent instantaneous samples and adjacent state samples in the first state sample set as generation samples; training an additional discrimination channel based on additional instantaneous samples and additional state samples as discrimination samples; fusing the additional generation channel and the additional discrimination channel to obtain the additional state model; inputting the first instant and the second instant into the additional state model for additional generation to obtain the first additional instantaneous state, wherein the first additional instantaneous state corresponds to the first additional instant.

[0058] Furthermore, the multi-point synchronization processing device for shipborne navigation data is also used to: acquire the instantaneous sample step size and state sample step size of the first acquisition source; perform time series training based on the instantaneous sample step size and state sample step size to generate a full sequence state; and extract adjacent instantaneous samples, adjacent state samples, additional instantaneous samples, and additional state samples based on the full sequence state, wherein the additional instantaneous samples are equidistant from the adjacent instantaneous samples.

[0059] Furthermore, the multi-point synchronization processing device for shipborne navigation data is also used for: performing state synchronization authentication based on a first enhanced instantaneous state set of a first acquisition source and a traversed enhanced instantaneous state set of the acquisition source to obtain a first synchronization coefficient, wherein the first acquisition source extracts data based on the acquisition source; and traversing the acquisition source to perform traversal authentication on the enhanced instantaneous state set to obtain the synchronization coefficient.

[0060] Furthermore, the multi-point synchronization processing device for shipborne navigation data is also used for: comparing the synchronization coefficients based on a synchronization coefficient threshold to extract collaborative acquisition sources; fusing the collaborative instantaneous state sets of the collaborative acquisition sources to obtain the fused instantaneous state set, wherein the collaborative instantaneous state set is extracted based on the enhanced instantaneous state set.

[0061] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The multi-point synchronization processing method and specific example of shipborne navigation data in the foregoing embodiment one are also applicable to the multi-point synchronization processing device of shipborne navigation data in this embodiment. Through the foregoing detailed description of the multi-point synchronization processing method of shipborne navigation data, those skilled in the art can clearly understand the multi-point synchronization processing device of shipborne navigation data in this embodiment. Therefore, for the sake of brevity, it will not be described in detail here.

[0062] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0063] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of this application and its equivalents, this application also intends to include such modifications and variations.

Claims

1. A method for multi-point synchronization processing of shipborne navigation data, characterized in that, include: Acquire shipboard navigation status data, the status data including an instantaneous status set, the instantaneous status set corresponding to a state instantaneous set; The instantaneous state set refers to the set of ship operation data recorded by the corresponding sensor at a specific point in time. The instantaneous state set is the corresponding point in time when the sensor acquires the data set. Data is appended to adjacent state instants in the state instant set to obtain an appended instant state set and an appended state instant set; The process of appending data to adjacent state instants in the state instant set involves adding data to the interval time points between the acquisition time points. The time appending process is to insert new acquisition time points between these two adjacent instants, thereby making the time interval of the data more dense. The appended time points are kept consistent with the distance between the first instant and the second instant to ensure the symmetry of the new data points in time. The augmented instantaneous state set is obtained by combining the additional instantaneous state set with the instantaneous state set. The enhanced instantaneous state set is synchronized based on the data acquisition source to obtain the synchronization coefficient; The acquisition quality of the state data is evaluated based on the synchronization coefficient, and the enhanced instantaneous state set is fused based on the acquisition quality evaluation result to obtain a fused instantaneous state set. The step of evaluating the acquisition quality of the state data based on the synchronization coefficient, and fusing the enhanced instantaneous state set based on the acquisition quality evaluation result to obtain a fused instantaneous state set includes: The synchronization coefficients are compared based on the synchronization coefficient threshold to extract the collaborative acquisition sources; The fused instantaneous state set is obtained by fusing the collaborative instantaneous state set of the collaborative acquisition sources, wherein the collaborative instantaneous state set is extracted based on the enhanced instantaneous state set.

2. The method for multi-point synchronization processing of shipborne navigation data as described in claim 1, characterized in that, Data is appended to adjacent state instants in the state instant set to obtain an appended instant state set and an appended state instant set, including: The time of adjacent state instants is appended to the first state instant set of the first acquisition source to obtain a first appended state instant set, wherein the first acquisition source is extracted according to the acquisition source, and the first state instant set is extracted according to the state instant set; The first instantaneous state set is supplemented with data based on the first additional instantaneous state set to obtain the first additional instantaneous state set, wherein the first instantaneous state set is extracted based on the instantaneous state set and corresponds to the first instantaneous state set; The data is appended to the instantaneous state set based on the first appended instantaneous state set to obtain the appended instantaneous state set, which corresponds to the appended instantaneous state set.

3. The method for multi-point synchronization processing of shipborne navigation data as described in claim 2, characterized in that, The first additional instantaneous state set is obtained by supplementing the first instantaneous state set with data based on the first additional instantaneous state set, including: The first instant and the second instant are extracted from the first state instant set, and the first instant and the second instant are adjacent state instants; The first instant and the second instant are time-appended to obtain a first appended instant, wherein the distance from the first appended instant to the first instant is the same as the distance to the second instant; The first additional instantaneous state is obtained by supplementing the first instantaneous state set with the data of the first additional instantaneous state based on the additional state model; The first additional instantaneous state set is obtained by supplementing the first instantaneous state set with data based on the first additional instantaneous state set.

4. The method for multi-point synchronization processing of shipborne navigation data as described in claim 3, characterized in that, The first additional instantaneous state is obtained by supplementing the first instantaneous state set with data from the first additional instantaneous state based on the additional state model, including: An additional generation channel is trained based on adjacent instantaneous samples and adjacent state samples in the first state sample set as generation samples, and an additional discrimination channel is trained based on additional instantaneous samples and additional state samples as discrimination samples. The additional state model is obtained by fusing the additional generation channel and the additional discrimination channel. The first instant and the second instant are input into the additional state model to generate the first additional instant state, wherein the first additional instant state corresponds to the first additional instant.

5. The method for multi-point synchronization processing of shipborne navigation data as described in claim 4, characterized in that, Before training an additional generation channel based on adjacent instantaneous samples and adjacent state samples in the first state sample set as generation samples, and before training an additional discrimination channel based on additional instantaneous samples and additional state samples as discrimination samples, the process includes: Obtain the instantaneous sample step size and state sample step size of the first acquisition source; Time series training is performed based on the instantaneous sample step size and the state sample step size to generate the full sequence state. Based on the full sequence state, adjacent instantaneous samples, adjacent state samples, additional instantaneous samples, and additional state samples are extracted, wherein the additional instantaneous samples are all equidistant from the adjacent instantaneous samples.

6. The method for multi-point synchronization processing of shipborne navigation data as described in claim 1, characterized in that, Synchronization coefficients are obtained by performing synchronization authentication on the enhanced instantaneous state set based on the data acquisition source, including: State synchronization is authenticated based on the first enhanced instantaneous state set of the first acquisition source and the traversed enhanced instantaneous state set of the acquisition source to obtain the first synchronization coefficient, wherein the first acquisition source is extracted based on the acquisition source; The enhanced instantaneous state set is authenticated by traversing the acquisition sources to obtain the synchronization coefficient.

7. A multi-point synchronous processing device for shipborne navigation data, characterized in that, The steps for implementing the multi-point synchronization processing method for shipborne navigation data according to any one of claims 1 to 3 include: A status data acquisition module is used to acquire shipboard navigation status data, the status data including an instantaneous status set, the instantaneous status set corresponding to a status instantaneous set; A data appending module is used to append data to adjacent state moments in the state moment set to obtain an appended moment state set and an appended state moment set. A data combination module is used to combine data based on the additional instantaneous state set and the instantaneous state set to obtain an enhanced instantaneous state set; A synchronization authentication module is used to perform synchronization authentication on the enhanced instantaneous state set based on the acquisition source to obtain a synchronization coefficient; The acquisition quality assessment module is used to assess the acquisition quality of the state data based on the synchronization coefficient, and to fuse the enhanced instantaneous state set based on the acquisition quality assessment result to obtain a fused instantaneous state set.

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