A method, system and device for optimizing the accuracy of a navigation mark alarm, and a storage medium

Abstract

The application discloses a kind of navigation mark alarm accuracy optimization method, system, equipment and storage medium, method includes information collection, alarm information analysis, alarm threshold optimization, navigation mark alarm grading, navigation mark alarm disposal and alarm information update.Information is collected in real time and historical navigation mark light information, and related environmental data are used to establish comprehensive channel information database;By analyzing abnormal information, an alarm recognition model is established in combination with the channel information database;On the basis of the alarm recognition model, the alarm threshold is optimized according to the historical abnormal information and the analysis results, and the false alarm rate is reduced;The alarm information is classified according to the specific situation and the corresponding disposal measures are executed in stages, in addition, the alarm information and the processing process are recorded completely, which provides a reference for the processing of similar situations in the future, and the alarm recognition model is continuously optimized to improve the adaptive ability and intelligent level of the system, thereby further improving the accuracy of navigation mark alarm.

Description

Technical Field

[0001] This invention belongs to the field of navigational beacon alarm technology, and more specifically, relates to a method, system, device and storage medium for optimizing the accuracy of navigational beacon alarms. Background Technology

[0002] Navigation lights are a crucial component of navigational aids, providing support for vessel navigation, positioning, and safety. Specifically, navigation lights offer the following benefits: they provide visibility at night or in low-visibility conditions, aiding in accurate positioning and navigation in waterways, thus improving navigational safety; the color, flashing pattern, and location of the lights indicate the correct course and channel, preventing vessels from entering dangerous areas or running aground; in oceans or rivers, navigation lights can identify obstacles and hazardous areas such as reefs, shoals, and prohibited areas, alerting vessels to be vigilant and take appropriate measures; and in adverse weather conditions, such as fog, rain, or snow, navigation lights provide visible reference points to aid in weather assessment and navigation. In short, as a vital part of navigational aids, navigation lights play a crucial role in vessel navigation, positioning, and safety.

[0003] Given the importance of the normal operation of navigation lights, Chinese Patent Publication No. CN107784801A discloses a navigation light telemetry and remote control alarm system and its implementation method. The system includes a central server, a data acquisition and processing terminal, and navigation light equipment. The central server is connected to the data acquisition and processing terminal, and the input terminal of the data acquisition and processing terminal is connected to the output terminal of the navigation light equipment. By placing both data acquisition and processing at the data acquisition and processing terminal, when an anomaly is detected, the system actively uploads equipment information to the central server, thereby achieving real-time alarm functionality. Under normal circumstances, the system only uploads data at set times; when not uploading data, the remote communication module is turned off, significantly reducing power consumption. Furthermore, this invention performs anti-interference processing on abnormal data, greatly improving the accuracy of the alarm and effectively reducing false alarms.

[0004] Chinese patent CN107784801A discloses a navigation beacon telemetry and remote control alarm system and its implementation method. However, it mainly judges navigation beacon anomaly information based on simple rules through remote terminal control equipment, which has certain limitations. Secondly, due to the performance of the front-end acquisition equipment and the strength of the network signal, invalid navigation beacon anomaly information may be generated. Moreover, the anomalies of navigation lights of different types and locations have special characteristics, and basic remote terminal control equipment cannot make targeted judgments. Finally, it cannot effectively judge anomalies such as dynamic changes in navigation light displacement. Summary of the Invention

[0005] To address the aforementioned deficiencies or improvement needs of existing technologies, this invention provides a method, system, device, and storage medium for optimizing the accuracy of navigational aid alarms. It collects real-time and historical navigational aid information, along with relevant environmental data, to establish a comprehensive waterway information database. By analyzing abnormal information and combining it with the waterway information database, an alarm identification model is established. Based on the alarm identification model, and according to historical abnormal information and analysis results, the alarm threshold is optimized to reduce the false alarm rate. Alarm information is classified and graded according to specific situations, and corresponding handling measures are implemented. Furthermore, alarm information and processing procedures are fully recorded to provide a reference for handling similar situations in the future. Simultaneously, the alarm identification model is continuously optimized to improve the system's adaptability and intelligence level, thereby further improving the accuracy of navigational aid alarms.

[0006] To achieve the above objectives, a first aspect of the present invention provides a method for optimizing the accuracy of navigational beacon alarms, comprising the following steps: S100: Collect real-time and historical information on navigation lights, meteorological information, hydrological information, ship AIS information, CCTV information, navigation light anomaly information, and corresponding handling information within the waterway; S200 combines meteorological information, water level information, ship AIS information and CCTV information during the historical abnormal period of navigation lights to analyze the historical abnormal information of navigation lights and corresponding handling information, and completes the judgment of real-time abnormal information of navigation lights by establishing an alarm recognition model. S300. Based on the historical abnormal information and handling information of navigation lights, combined with the analysis results of alarm information, comprehensively determine the alarm threshold of each navigation light in the waterway. S400. Based on the results of the navigation light alarm information and in conjunction with the response measures, determine the level of the navigation light alarm. S500: Based on the level of the navigation light alarm, implement the corresponding handling measures; After the S600 and navigation light alarms are processed, complete records are made of the corresponding navigation light anomaly information and handling information, meteorological information, water level information, ship AIS information and CCTV information. At the same time, the alarm recognition model is continuously optimized.

[0007] Furthermore, in step S200, establishing the alarm identification model includes the following steps: S201: Analyze historical alarm and handling information, and determine that alarms that can be resolved simply by continuing to observe or immediately sending the collected data are invalid alarms; S202: When abnormal navigation mark information is detected, retrieve real-time hydrological and meteorological information and compare it with historical alarm information to preliminarily verify whether the abnormal information is valid. S203: Associate CCTV monitoring with navigation marks within the management area, and use image recognition technology to verify alarm information for abnormal navigation mark positions and light quality. When the image recognition result matches the received alarm information, the alarm is confirmed to be valid; otherwise, it is determined to be invalid. S204: Combining ship AIS data with navigation mark location information, when navigation mark position abnormality information occurs, automatically check whether there are ships passing by the alarm navigation mark, whether they are within the navigation mark's safe distance, check whether the navigation mark will be displaced due to ship collision, and determine whether the navigation mark position abnormality alarm information is valid. S205: Analyze and compare navigational beacon anomaly information and handling information to achieve navigational beacon anomaly verification; when communication anomalies or terminal status anomalies occur, retrieve historical anomaly information and handling information of the navigational beacon to verify whether the anomaly information is accurate. S206: After the navigational beacon alarm information is identified and processed, the final information is verified manually.

[0008] Furthermore, step S300 includes optimization of the beacon displacement alarm threshold, which comprises the following steps: S301: By statistically analyzing historical data of navigation beacon alarms, including information such as the time, location, and degree of displacement of the alarm, we can understand the patterns and trends of alarm occurrences. S302: The relevant hydrological and meteorological information obtained, such as data on ocean currents, wind speeds, and waves, will be correlated with navigation mark displacement alarm data to determine whether it is related to hydrological and meteorological conditions. S303: Based on the analysis results of historical data and hydrological and meteorological information, adjust the displacement threshold of navigation marks. By setting the displacement threshold reasonably, reduce the false alarm rate and improve the sensitivity to real dangerous situations. S304: By regularly monitoring and correcting the base point coordinates, false alarms caused by base point coordinate errors are reduced; S305: By comprehensively analyzing information such as the adjusted displacement threshold and base point coordinates, navigation mark displacement alarms that can be cleared through adjustment are identified as invalid alarms, reducing interference with operators and unnecessary processing work; S306: Based on the determination of invalid alarms, the optimized and adjusted displacement threshold and base point coordinates are fed back to the relevant management departments or operators so as to further optimize and improve the alarm identification model.

[0009] Furthermore, in step S400, the navigation light alarm levels include three levels: Level 1, Level 2, and Alert; among them, Level 1 navigation light anomaly information includes: buoy position deviation significantly exceeding the threshold or gradually increasing; receiving abnormal light communication information for more than 2.5 hours, and during which it is impossible to determine the navigation aid status is normal by comprehensive means; receiving abnormal buoy positioning information for more than 2.5 hours, and during which it is impossible to determine the navigation aid status is normal by comprehensive means.

[0010] Furthermore, the secondary category of navigational aberration information includes: general buoy navigational aberration position deviation range changes near the threshold and has not recovered for more than 2.5 hours, correction base point does not meet distribution requirements; navigational light alarm for more than 0.5 hours during the daytime; 0.5 hours < duration of receiving light communication aberration information ≤ 2.5 hours; low voltage aberration.

[0011] Furthermore, the alert-type navigational aberration information includes: daytime navigational light alarm ≤ 0.5 hours; high voltage anomaly; a large number of navigational aberrations; parameter non-synchronization; and receiving invalid buoy positioning anomaly information for a duration ≤ 0.5 hours.

[0012] Furthermore, in step S500, the handling measures include four handling categories, wherein the first category of handling requires immediate departure and recovery, the second category of handling requires follow-up handling and recovery, the third category of handling requires recovery in conjunction with routine maintenance, and the fourth category of handling requires instruction response.

[0013] A second aspect of the present invention provides a system for optimizing the accuracy of navigational beacon alarms, characterized in that it comprises: Information collection module: collects real-time and historical navigation light information, meteorological information, hydrological information, ship AIS information and CCTV information within the waterway; Information Analysis Module: Combining meteorological information, water level information, ship AIS information, and CCTV information during historical abnormal periods of navigation lights, this module analyzes historical abnormal information of navigation lights and corresponding handling information, and establishes an alarm recognition model to complete the judgment of real-time abnormal information of navigation lights. Threshold optimization module: Based on historical anomaly information and handling information of navigation lights, combined with alarm information analysis results, comprehensively judge the alarm threshold of each navigation light in the waterway; Alarm classification module: Based on the alarm information results of navigation lights and the corresponding response measures, determine the alarm level of the navigation lights; Alarm handling module: Executes corresponding handling measures based on the alarm level of the navigation light; Information update module: After the navigation light alarm is processed, the module fully records the corresponding navigation light anomaly information and handling information, as well as meteorological information, water level information, ship AIS information and CCTV information, while continuing to optimize the alarm recognition model.

[0014] A third aspect of the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor, when executing the computer program, implements a method for optimizing the accuracy of navigation beacon alarms as described above.

[0015] A fourth aspect of the present invention provides a computer-readable storage medium, characterized in that the computer-readable storage medium includes a stored computer program, which, when executed by a processor, controls the device where the storage medium is located to perform an optimization method for the accuracy of navigational beacon alarms as described above.

[0016] In summary, compared with the prior art, the above-described technical solutions conceived by this invention can achieve the following beneficial effects: 1. The navigation beacon alarm optimization method of the present invention optimizes the alarm threshold by analyzing historical data, effectively reducing the false alarm rate and reducing resource waste and manpower costs.

[0017] 2. The navigational beacon alarm optimization method of the present invention analyzes the abnormal information of navigational beacons to determine whether there is an abnormal situation, thereby improving the intelligence, automation and accuracy of alarms and ensuring navigational safety.

[0018] 3. The navigational aid alarm optimization method of the present invention, by optimizing the alarm processing flow, shortens the transmission and response time of alarm information, which helps to speed up the response and reduce the possibility of accidents.

[0019] 4. The navigation beacon alarm optimization method of the present invention can effectively reduce the time and frequency of waterway interruptions and improve waterway utilization efficiency by accurately judging abnormal situations and timely restoring the normal operation of navigation beacon lights.

[0020] 5. The navigational aid alarm optimization method of the present invention can improve the system's adaptability and adapt to changes in the waterway environment and updated requirements by continuously optimizing the alarm recognition model and updating the data. Attached Figure Description

[0021] Figure 1 This is a flowchart illustrating the steps of the navigation beacon alarm optimization method according to an embodiment of the present invention; Figure 2 This is a schematic diagram illustrating the steps involved in establishing the navigational aid alarm recognition model according to an embodiment of the present invention. Figure 3 This is a schematic diagram of the steps for optimizing the navigation mark displacement alarm threshold in an embodiment of the present invention; Figure 4 This is a schematic diagram illustrating the classification and handling measures and scheduling arrangements for abnormal navigational aid information in an embodiment of the present invention; Figure 5 This is a schematic diagram of the structure of the navigation beacon alarm optimization system according to an embodiment of the present invention; Figure 6 This is a schematic diagram of the structure of the navigation beacon alarm optimization device according to an embodiment of the present invention.

[0022] In all the accompanying drawings, the same reference numerals denote the same technical features, specifically: 1-electronic device, 11-processor, 12-memory, 13-communication bus, 14-network interface, 15-communication interface, 16-user interface. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention. Furthermore, the technical features involved in the various embodiments of this invention described below can be combined with each other as long as they do not conflict with each other.

[0024] It should be noted that if the embodiments of the present invention involve directional indicators (such as up, down, left, right, front, back, etc.), the directional indicators are only used to explain the relative positional relationship and movement of the components in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indicators will also change accordingly.

[0025] Furthermore, if the embodiments of this invention involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the technical solutions of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by this invention.

[0026] like Figures 1 to 6 As shown, one embodiment of the present invention provides a method for optimizing the accuracy of navigational beacon alarms, comprising the following steps: S100. Information Collection: Collect real-time and historical information on navigation lights, meteorological information, hydrological information, ship AIS information, CCTV information, navigation light anomaly information, and corresponding handling information within the waterway; S200 Alarm Information Analysis: Combining meteorological information, water level information, ship AIS information, and CCTV information during the historical abnormal period of the navigation light, analyze the historical abnormal information of the navigation light and the corresponding handling information, and complete the judgment of real-time abnormal information of the navigation light by establishing an alarm recognition model. S300 Alarm Threshold Optimization: Based on historical anomaly information and handling information of navigation lights, combined with the analysis results of alarm information, the alarm threshold of each navigation light in the waterway is comprehensively judged. S400, Beacon Alarm Classification: Based on the beacon alarm information results and the corresponding response measures, determine the beacon alarm level; S500, Navigational Beacon Alarm Handling: Implement corresponding handling measures based on the level of the navigational beacon alarm; S600 Alarm Information Update: After the navigation light alarm is processed, the corresponding navigation light anomaly information and handling information, meteorological information, water level information, ship AIS information and CCTV information are fully recorded. At the same time, the alarm recognition model is continuously optimized.

[0027] By collecting real-time and historical navigation light information, along with relevant environmental data, a comprehensive waterway information database is established. Anomaly information is analyzed, and an alarm identification model is built based on this database. Based on this model, alarm thresholds are optimized using historical anomaly information and analysis results to reduce false alarm rates. Alarm information is categorized and graded according to specific situations, and corresponding handling measures are implemented. Furthermore, alarm information and processing procedures are fully recorded to provide a reference for handling similar situations in the future. Simultaneously, the alarm identification model is continuously optimized to improve the system's adaptability and intelligence, thereby further enhancing the accuracy of navigation light alarms.

[0028] Specifically, such as Figure 1As shown, in step S100, the collected information includes: recording the specific coordinates of the navigation light's location in the waterway so that navigators and relevant personnel can accurately locate it; the type of navigation light, such as lighthouses, buoys, and markers, for identification; the characteristics of the navigation light, such as light color, flashing pattern, and light intensity, to identify the function and purpose of different navigation lights; the working status of the navigation light, including normal operation, malfunction, and maintenance, to promptly investigate and handle abnormal situations; the maintenance status of the navigation light, including maintenance time, maintenance content, and maintenance personnel, to maintain the normal operation of the navigation light; changes in the navigation light's light, including flashing pattern and frequency changes, to analyze and judge abnormal situations of the navigation light; monitoring data of the navigation light, such as power supply voltage, current, and bulb life, to detect the working status and health status of the navigation light; and the regular maintenance plan of the navigation light, including maintenance cycle and maintenance content, to ensure the long-term stable operation of the navigation light. The meteorological and hydrological information includes: meteorological indicators such as wind force, wind direction, air pressure, rainfall, visibility, and cloud cover; hydrological indicators such as water depth, current, tides, and water level; and marine indicators such as ocean tides, waves, sea conditions, sea temperature, and salinity. The ship AIS information includes: the ship's unique identification number (MMSI, Maritime Mobile Service Identity); the ship's name or serial number; the ship's longitude and latitude coordinates; the ship's heading and speed relative to the ground; the ship's current navigation status; dimensional parameters such as the ship's length, width, and draft; the ship's type, such as cargo ship, passenger ship, or tugboat; and the ship's navigation status, such as using automatic navigation or manual navigation. If the ship is carrying cargo, the AIS information may provide information about the type of cargo, such as dangerous goods or oil tankers. The CCTV information refers to the video signals collected, transmitted, and recorded by closed-circuit television systems installed in the waterway. The navigation light anomaly information and handling information include problems such as the navigation light failing to emit light normally or having weak light, the navigation light flashing pattern not conforming to the standard specifications, and the actual location of the navigation light not conforming to the location marked on the nautical chart or navigation chart, as well as the corresponding handling measures.

[0029] like Figure 1 and Figure 2 As shown, in step S200, the alarm identification model is used to optimize and filter the collected information. The model building process includes the following steps: S201: Analyze historical alarm and handling information, and determine that alarms that can be resolved simply by continuing to observe or immediately sending the collected data are invalid alarms; S202: When abnormal navigation mark information is detected, retrieve real-time hydrological and meteorological information and compare it with historical alarm information to preliminarily verify whether the abnormal information is valid. S203: Associate CCTV monitoring with navigation marks within the management area, and use image recognition technology to verify alarm information for abnormal navigation mark positions and light quality. When the image recognition result matches the received alarm information, the alarm is confirmed to be valid; otherwise, it is determined to be invalid. S204: Combining ship AIS data with navigation mark location information, when navigation mark position abnormality information occurs, automatically check whether there are ships passing by the alarm navigation mark, whether they are within the navigation mark's safe distance, check whether the navigation mark will be displaced due to ship collision, and determine whether the navigation mark position abnormality alarm information is valid. S205: Analyze and compare navigational beacon anomaly information and handling information to achieve navigational beacon anomaly verification; when communication anomalies or terminal status anomalies occur, retrieve historical anomaly information and handling information of the navigational beacon to verify whether the anomaly information is accurate. S206: After the navigational beacon alarm information is identified and processed, the final information is verified manually.

[0030] like Figure 1 and Figure 3 As shown, step S300 includes optimization of the navigation mark displacement alarm threshold, which includes the following steps: S301: By statistically analyzing historical data of navigation beacon alarms, including information such as the time, location, and degree of displacement of the alarm, we can understand the patterns and trends of alarm occurrences. S302: The relevant hydrological and meteorological information obtained, such as data on ocean currents, wind speeds, and waves, will be correlated with navigation mark displacement alarm data to determine whether it is related to hydrological and meteorological conditions. S303: Based on the analysis results of historical data and hydrological and meteorological information, adjust the displacement threshold of navigation marks. By setting the displacement threshold reasonably, reduce the false alarm rate and improve the sensitivity to real dangerous situations. S304: By regularly monitoring and correcting the base point coordinates, false alarms caused by base point coordinate errors are reduced; S305: By comprehensively analyzing information such as the adjusted displacement threshold and base point coordinates, navigation mark displacement alarms that can be cleared through adjustment are identified as invalid alarms, reducing interference with operators and unnecessary processing work; S306: Based on the determination of invalid alarms, the optimized and adjusted displacement threshold and base point coordinates are fed back to the relevant management departments or operators so as to further optimize and improve the alarm identification model.

[0031] like Figure 1 As shown, in step S400, the navigation light alarm levels include three levels: Level 1, Level 2, and Alert. Category 1 navigation aid anomaly information includes: buoy position deviation significantly exceeding the threshold or gradually increasing; receiving abnormal light communication information for more than 2.5 hours, during which it is impossible to determine the navigation aid status is normal through comprehensive means; receiving abnormal buoy positioning information for more than 2.5 hours, during which it is impossible to determine the navigation aid status is normal through comprehensive means.

[0032] Class II navigational aberration information includes: general buoy navigational aberration position deviation range changes around the threshold and has not recovered for more than 2.5 hours, correction base point does not meet distribution requirements; navigational light alarm for more than 0.5 hours during daytime; 0.5 hours < duration of receiving communication aberration information from the light device ≤ 2.5 hours; low voltage abnormality.

[0033] Alert-type navigational aberration information includes: daytime navigational light alarm ≤ 0.5 hours; high voltage anomaly; a large number of navigational aberrations; parameter non-synchronization; and receiving invalid buoy positioning anomaly information for ≤ 0.5 hours.

[0034] like Figure 1 and Figure 4 As shown, in step S500, the handling measures include four categories: Category 1 requires immediate departure and recovery; Category 2 requires follow-up handling and recovery; Category 3 requires recovery in conjunction with routine maintenance; and Category 4 requires instruction response.

[0035] like Figure 1 As shown, step S600 includes, after the navigational aid alarm is processed, a complete record of the corresponding navigational aid anomaly information and handling information is made. The record includes the alarm time, location and level, the name, work unit and contact information of the personnel handling the alarm, the measures taken and the results during the alarm handling process, and relevant meteorological information, hydrological information, ship AIS information and CCTV information. The recorded information should be complete and accurate, and stored in the corresponding electronic and paper archives. At the same time, in order to further improve the accuracy and effectiveness of navigational aid alarms, the corresponding electronic archives are used to continuously optimize the alarm identification model. In addition, a sound alarm feedback mechanism is gradually established to collect and analyze alarm feedback in a timely manner, continuously improve and perfect the alarm identification model, and better ensure the safety and smoothness of maritime navigation.

[0036] In practical engineering, the various embodiments of this invention are implemented through programmed processing using devices with processor capabilities. Therefore, these technical solutions and functions can be encapsulated into various modules for easier integration and use in practical applications. Based on this reality, another embodiment of this invention provides a system for optimizing the accuracy of beacon alarms, which can execute the beacon alarm accuracy optimization method described in the foregoing method embodiments. For example... Figure 5 As shown, the system for optimizing the accuracy of navigational aid alarms includes: Information collection module: collects real-time and historical navigation light information, meteorological information, hydrological information, ship AIS information and CCTV information within the waterway; Information Analysis Module: Combining meteorological information, water level information, ship AIS information, and CCTV information during historical abnormal periods of navigation lights, this module analyzes historical abnormal information of navigation lights and corresponding handling information, and establishes an alarm recognition model to complete the judgment of real-time abnormal information of navigation lights. Threshold optimization module: Based on historical anomaly information and handling information of navigation lights, combined with alarm information analysis results, comprehensively judge the alarm threshold of each navigation light in the waterway; Alarm classification module: Based on the alarm information results of navigation lights and the corresponding response measures, determine the alarm level of the navigation lights; Alarm handling module: Executes corresponding handling measures based on the alarm level of the navigation light; Information update module: After the navigation light alarm is processed, the module fully records the corresponding navigation light anomaly information and handling information, as well as meteorological information, water level information, ship AIS information and CCTV information, while continuing to optimize the alarm recognition model.

[0037] It should be noted that the system in the system embodiments provided by the present invention can be used not only to implement the methods in the above method embodiments, but also to implement the methods in other method embodiments provided by the present invention. The only difference is the setting of corresponding functional modules. Its principle is basically the same as that of the above system embodiments provided by the present invention. As long as those skilled in the art can improve the system in the above system embodiments by referring to the specific technical solutions in other method embodiments and combining technical features to obtain corresponding technical means and technical solutions composed of these technical means, on the basis of the above system embodiments, under the premise of ensuring the practicality of the technical solutions, so as to obtain corresponding system class embodiments for implementing the methods in other method class embodiments.

[0038] The method of this invention is implemented using an electronic device. Based on this, this invention also provides an electronic device, such as... Figure 6As shown, the electronic device 1 includes: at least one processor 11, at least one network interface 14, at least one communications interface 15, at least one user interface 16, at least one memory 12, and a communication bus 13. The at least one processor 11, at least one network interface 14, at least one communications interface 15, at least one user interface 16, and at least one memory 12 are interconnected via the communication bus 13. The network interface 14 includes standard wired and wireless interfaces. The communications interface 15 includes standard wired and wireless interfaces. The user interface 16 includes a display screen and a keyboard for interaction, and also includes standard wired and wireless interfaces. The at least one processor 11 can invoke logical instructions in the at least one memory 12 to execute all or part of the steps of the beacon alarm accuracy optimization method provided in the foregoing embodiments.

[0039] Furthermore, when the logical instructions in at least one of the aforementioned memories can be implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, embodiments of the present invention also provide a computer-readable storage medium. The technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various method embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0040] The system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0041] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the method for optimizing the accuracy of navigation beacon alarms described in various embodiments or some parts of embodiments.

[0042] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. Based on this understanding, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than those shown in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, or sometimes in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0043] In this patent, the terms "comprising," "including," or any other variations thereof are intended to cover a 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 a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus that includes said element.

[0044] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for optimizing the accuracy of navigational beacon alarms, characterized in that, Includes the following steps: S100: Collect real-time and historical information on navigation lights, meteorological information, hydrological information, ship AIS information, CCTV information, navigation light anomaly information, and corresponding handling information within the waterway; S200 combines meteorological information, water level information, ship AIS information and CCTV information during the historical abnormal period of navigation lights to analyze the historical abnormal information of navigation lights and corresponding handling information, and completes the judgment of real-time abnormal information of navigation lights by establishing an alarm recognition model. S300. Based on the historical abnormal information and handling information of navigation lights, combined with the analysis results of alarm information, comprehensively determine the alarm threshold of each navigation light in the waterway. S400. Based on the results of the navigation light alarm information and in conjunction with the response measures, determine the level of the navigation light alarm. S500: Based on the level of the navigation light alarm, implement the corresponding handling measures; After the S600 and navigation light alarms are processed, record the corresponding navigation light anomaly information and handling information, meteorological information, water level information, ship AIS information and CCTV information. At the same time, continue to optimize the alarm recognition model. Step S300 includes optimization of the beacon displacement alarm threshold, which comprises the following steps: S301: By statistically analyzing historical data of navigation beacon alarms, including information on the time, location, and degree of displacement of the alarm, we can understand the patterns and trends of alarm occurrences. S302: The relevant hydrological and meteorological information obtained will be correlated with the navigation mark displacement alarm data to determine whether it is related to hydrological and meteorological conditions; S303: Based on the analysis results of historical data and hydrological and meteorological information, adjust the displacement threshold of navigation marks. By setting the displacement threshold reasonably, reduce the false alarm rate and improve the sensitivity to real dangerous situations. S304: By regularly monitoring and correcting the base point coordinates, false alarms caused by base point coordinate errors are reduced; S305: By comprehensively analyzing the adjusted displacement threshold and base point coordinates, navigation mark displacement alarms that can be cleared through adjustment are identified as invalid alarms, reducing interference with operators and unnecessary processing work; S306: Based on the determination of invalid alarms, the optimized and adjusted displacement threshold and base point coordinates are fed back to the relevant management departments or operators so as to further optimize and improve the alarm identification model.

2. The method for optimizing the accuracy of navigational aid alarms according to claim 1, characterized in that, In step S200, establishing the alarm identification model includes the following steps: S201: Analyze historical alarm and handling information, and determine that alarms that can be resolved simply by continuing to observe or immediately sending the collected data are invalid alarms; S202: When abnormal navigation mark information is detected, retrieve real-time hydrological and meteorological information, compare it with historical alarm information, and preliminarily verify whether the abnormal information is valid. S203: Associate CCTV monitoring with navigation marks within the management area, and use image recognition technology to verify alarm information for abnormal navigation mark positions and light quality. When the image recognition result matches the received alarm information, the alarm is confirmed to be valid; otherwise, it is determined to be invalid. S204: Combining ship AIS data with navigation mark location information, when navigation mark position abnormality information occurs, automatically check whether there are ships passing by the alarm navigation mark, whether they are within the navigation mark's safe distance, check whether the navigation mark will be displaced due to ship collision, and determine whether the navigation mark position abnormality alarm information is valid. S205: Analyze and compare navigational beacon anomaly information and handling information to achieve navigational beacon anomaly verification; when communication anomalies or terminal status anomalies occur, retrieve historical anomaly information and handling information of the navigational beacon to verify whether the anomaly information is accurate. S206: After the navigational beacon alarm information is identified and processed, the final information is verified manually.

3. The method for optimizing the accuracy of navigational aid alarms according to claim 1 or 2, characterized in that, In step S400, the navigation light alarm levels include three levels: Level 1, Level 2, and Alert. Among them, Level 1 navigation light anomaly information includes: the buoy position deviation significantly exceeds the threshold or gradually increases; the duration of receiving abnormal light communication information is >2.5 hours, and during this period, it cannot be determined by comprehensive means that the navigation aid status is normal; the duration of receiving abnormal buoy positioning information is >2.5 hours, and during this period, it cannot be determined by comprehensive means that the navigation aid status is normal.

4. The method for optimizing the accuracy of navigational aid alarms according to claim 3, characterized in that, The secondary category of navigational aberration information includes: general buoy navigational aberration position deviation range changes near the threshold and has not recovered for more than 2.5 hours, correction base point does not meet distribution requirements; navigational light alarm for more than 0.5 hours during the daytime; 0.5 hours < duration of receiving light communication aberration information ≤ 2.5 hours; low voltage abnormality.

5. The method for optimizing the accuracy of navigational aid alarms according to claim 3, characterized in that, The alert-type navigational aberration information includes: daytime navigational light alarm ≤ 0.5 hours; high voltage anomaly; a large number of navigational aberrations; parameter non-synchronization; and receiving invalid buoy positioning anomaly information for ≤ 0.5 hours.

6. The method for optimizing the accuracy of navigational beacon alarms according to claim 1 or 2, characterized in that, In step S500, the handling measures include four categories: Category 1 requires immediate departure and recovery; Category 2 requires follow-up handling and recovery; Category 3 requires recovery in conjunction with routine maintenance; and Category 4 requires instruction response.

7. A system for optimizing the accuracy of navigational beacon alarms, characterized in that, include: Information collection module: collects real-time and historical navigation light information, meteorological information, hydrological information, ship AIS information and CCTV information within the waterway; Information Analysis Module: Combining meteorological information, water level information, ship AIS information, and CCTV information during historical abnormal periods of navigation lights, this module analyzes historical abnormal information of navigation lights and corresponding handling information, and establishes an alarm recognition model to complete the judgment of real-time abnormal information of navigation lights. Threshold optimization module: Based on historical anomaly information and handling information of navigation lights, combined with alarm information analysis results, comprehensively judge the alarm threshold of each navigation light in the waterway; Alarm classification module: Based on the alarm information results of navigation lights and the corresponding response measures, determine the alarm level of the navigation lights; Alarm handling module: Executes corresponding handling measures based on the alarm level of the navigation light; Information update module: After the navigation light alarm is processed, the module fully records the corresponding navigation light anomaly information and handling information, as well as meteorological information, water level information, ship AIS information and CCTV information, while continuing to optimize the alarm recognition model.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements a method for optimizing the accuracy of navigational aid alarms as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored computer program that, when executed by a processor, controls the device containing the storage medium to perform a method for optimizing the accuracy of navigational beacon alarms as described in any one of claims 1-6.

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