Dynamic tracking management method for key target ship

Abstract

The invention discloses a key target ship dynamic tracking management method, which comprises the following steps of S1, acquiring marine ship data in a sea area in real time to obtain information and navigation data of each ship; s2, preprocessing the information and data obtained in S1, and removing noise and abnormal values; s3, constructing a risk assessment model, assessing the risk level of each ship inside and outside the region according to a predetermined condition, and taking a high-risk ship as a key target ship; s4, constructing a monitoring and early warning model, monitoring the dynamic behavior of the key target ship in real time, and when an abnormal behavior occurs, triggering early warning and sending an early warning notification to a specified equipment end through a preset communication end; and S5, generating a comprehensive research and judgment report. According to the invention, real-time dynamic tracking of ships is realized, comprehensive, accurate and timely supervision information and research and judgment reports are provided for supervision departments, and the efficiency and accuracy of maritime traffic management and safety supervision are improved.

Description

Technical Field

[0001] The invention relates to the technical field of ship supervision, and in particular to a dynamic tracking management method for key target ships. Background Art

[0002] Maritime transportation is different from land transportation. The situation at sea is complex and changeable. If a ship does not sail according to the scheduled route, it will affect the safety of other ships and cause chaos and difficulty in management of the route. In particular, the key tracking and monitoring of some high-risk waters and high-risk ships have an important impact on maritime traffic safety. Therefore, in order to strengthen seafood traffic management, maintain maritime traffic order, improve the level of maritime traffic safety services, protect personal and property safety, and promote the sustainable development of port economy, for the huge amount of data generated by maritime traffic, it is necessary to design a method that can capture effective maritime traffic data, identify key target ships, and conduct intelligent tracking to achieve real-time dynamic tracking of high-risk ships. By integrating data processing, behavior analysis, and report generation key steps, it provides comprehensive, accurate, and timely supervision information and research reports for regulatory authorities, thereby improving the efficiency and accuracy of maritime traffic management and safety supervision. Summary of the invention

[0003] The purpose of the present invention is to provide a key target ship dynamic tracking management method.

[0004] To achieve the above object, the present invention adopts the following technical solutions:

[0005] A method for dynamic tracking and management of key target ships comprises the following specific steps:

[0006] S1. Obtain the marine vessel data in the sea area in real time, and obtain the information and navigation data of each vessel;

[0007] S2, preprocessing the information and data obtained in S1, removing noise and outliers, and obtaining preprocessed information and data;

[0008] S3. Use drawing tools to draw key supervision areas on the sea map, build a risk assessment model, give priority to analyzing the information and dynamic behavior of each ship in the key supervision area, followed by the information and dynamic behavior of each ship outside the area, assess the risk level of each ship inside and outside the area according to predetermined conditions, and take high-risk ships as key target ships;

[0009] S4. Build a monitoring and early warning model to monitor the dynamic behavior of key target ships in real time, analyze the dynamic behavior, detect abnormal behavior, and trigger an early warning when abnormal behavior occurs and send an early warning notification to the designated device end through the preset communication end;

[0010] S5. Generate a comprehensive judgment report based on the information, dynamic behavior, abnormal behavior of key ships, and judgment information, using a report template.

[0011] Further, the specific steps of step S1 are as follows:

[0012] Obtain real-time maritime ship data within a specified sea area from multiple data sources, including the AIS system, radar system, and satellite communication, and obtain the information and navigation data of each ship in real time.

[0013] The information of the ship includes the ship name, MMSI, IMO, call sign, ship length, and ship width, and the navigation data includes position, navigation track, speed, and course.

[0014] Further, the specific steps of step S2 are as follows:

[0015] Preprocess the information and data obtained in S1, remove noise and outliers, obtain the preprocessed information and data, mark them on the sea area map of the display screen according to the position and navigation status of each ship, generate corresponding identifiers for each ship at the corresponding positions on the sea area map, and update them in real time.

[0016] Select a specified identifier to generate an information table for the corresponding ship, and the information table includes ship information and navigation data.

[0017] Further, the specific steps of step S3 are as follows:

[0018] S31. Use a drawing tool to draw at least one closed area on the sea area map by selecting a starting point and an ending point with a line, as a key supervision area. The drawing tool is equipped with modules for adding, deleting, and modifying the key supervision area.

[0019] S32. Build a risk assessment model, first analyze the information and dynamic behavior of each ship within the key supervision area, and then analyze the information and dynamic behavior of each ship outside the key supervision area. The dynamic behavior includes signal status, position change, course track change, speed change, and course change.

[0020] S33. The risk assessment model evaluates the risk levels of ships inside and outside the area according to preset conditions, including the scoring of ship type, historical behavior, route planning, and dynamic behavior. The risk levels include low-risk ships, medium-risk ships, and high-risk ships.

[0021] S34. Regard the high-risk ships as key target ships.

[0022] Further, the risk assessment model analyzes and updates the risk levels of each ship in real time according to the real-time obtained ship information and dynamic behavior.

[0023] Furthermore, the risk assessment model is also equipped with a ship management module that obtains ship management tables inside and outside the area, arranges them in descending order of risk level, adds or deletes ship names or ship MMSIs through this module, modifies the risk levels of specified ships and locks them, and unlocks them manually or at regular intervals.

[0024] Furthermore, the specific steps of step S4 are as follows:

[0025] S41. Construct a monitoring and early warning model to monitor key target ships and ships inside and outside the area in real time, and obtain data on their dynamic behaviors.

[0026] S42. Analyze the dynamic behaviors, detect abnormal behaviors, and at the same time obtain the historical ship tracks and position reporting data of surrounding ships for analysis to determine whether there are abnormal situations such as loitering on the water, ship berthing abnormally, or signal disappearance. When it is determined that a ship has an abnormal behavior, trigger an early warning and obtain data on its dynamic behavior in real time.

[0027] The monitoring and early warning model also includes an auxiliary calculation module, which is equipped with units for ship distance, ship speed, and navigation time. Calculate the ship distance, ship speed, and navigation time based on the input parameters to predict the positions of corresponding ships in real time.

[0028] S44. Send an early warning notice to specified device terminals through a preset communication terminal, including the device terminals of ships with abnormal behaviors, surrounding ships, and management departments, and send the predicted ship positions to the device terminals of the management departments.

[0029] Furthermore, step S43 is specifically as follows:

[0030] When calculating the voyage distance unit, manually input the ship speed and time to calculate the voyage distance.

[0031] When calculating the ship speed unit, manually input the ship voyage distance and time to calculate the ship speed.

[0032] When calculating the time unit, manually input the ship speed and voyage distance to calculate the time.

[0033] Furthermore, the specific steps of step S5 are as follows:

[0034] Generate a comprehensive research and judgment report based on the information, dynamic behaviors, abnormal behaviors, and research and judgment information of key ships. The report template includes ship basic information, key target descriptions, safety assessment information, suggestion information, and annex information.

[0035] Further, the risk assessment model obtains information and dynamic behaviors of corresponding ships when the ship enters the controlled sea area. After the ship meets the preset tracking conditions, the monitoring and early warning model is called for real-time dynamic tracking, and a tracking target list is generated, including key target ships and non-key target ships. When the ship meets the preset conditions for not requiring tracking, the corresponding ship is removed from the tracking target list.

[0036] After adopting the above technical solutions, compared with the background technology, the present invention has the following advantages:

[0037] The present invention constructs a risk assessment model and a monitoring and early warning module. Through an intelligent model, it replaces manual analysis and identification of key target ships. First, it identifies the information and dynamic behaviors of each ship in the sea area that needs to be controlled, and then according to preset conditions, it conducts risk assessment and grading on each ship. Then, through the monitoring and early warning model, key control is carried out on high-risk ships, and the dynamic behaviors of each ship are tracked in real time. When a ship has abnormal behaviors, it timely analyzes the types of abnormal behaviors and issues early warning notifications to it, surrounding ships, and the equipment terminals of the management department, and generates a comprehensive research and judgment report to achieve real-time dynamic tracking of high-risk ships. By integrating key steps such as data processing, behavior analysis, and report generation, it provides comprehensive, accurate, and timely supervision information and research and judgment reports for the supervision department, and improves the efficiency and accuracy of maritime traffic management and safety supervision. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 It is a flowchart of the method of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0039] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present 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 only used to explain the present invention, and are not used to limit the present invention.

[0040] It should be noted in the present invention that the terms "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. are all based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the devices or elements of the present invention must have a specific orientation. Therefore, it cannot be understood as a limitation to the present invention.

[0041] Embodiment

[0042] Reference Figure 1 As shown, the present invention discloses a method for dynamically tracking and managing key target ships, including the following specific steps:

[0043] S1. Obtain real-time data of sea ships in the sea area to obtain information and navigation data of each ship;

[0044] S2. Preprocess the information and data obtained in S1 to remove noise and outliers, and obtain the preprocessed information and data;

[0045] S3. Use a drawing tool to draw key regulatory areas on the sea area map, construct a risk assessment model, first analyze the information and dynamic behaviors of each ship within the key regulatory areas, and then the information and dynamic behaviors of each ship outside the areas. Evaluate the risk levels of ships inside and outside the areas according to predetermined conditions, and regard ships with high risks as key target ships;

[0046] S4. Construct a monitoring and early warning model to monitor the dynamic behaviors of key target ships in real time, analyze the dynamic behaviors, detect abnormal behaviors, and when an abnormal behavior occurs, trigger an early warning and send an early warning notice to the designated device through a preset communication terminal;

[0047] S5. Generate a comprehensive research and judgment report based on the report template according to the information, dynamic behaviors, abnormal behaviors of key ships and research and judgment information.

[0048] The specific steps of the above-mentioned step S1 are as follows:

[0049] Obtain the data of ships at sea within the designated sea area in real time from multiple data sources, including the AIS system, radar system and satellite communication, and obtain the information and navigation data of each ship in real time;

[0050] The information of the ship includes the ship name, MMSI, IMO, call sign, ship length and ship width, and the navigation data includes the position, navigation track, speed and course.

[0051] The specific steps of the above-mentioned step S2 are as follows:

[0052] Preprocess the information and data obtained in S1 to remove noise and outliers, and obtain the preprocessed information and data. Mark them on the sea area map of the display screen according to the positions and navigation states of each ship, generate corresponding identifiers for each ship at the corresponding positions on the sea area map, and update them in real time;

[0053] Select the designated identifier to generate an information table of the corresponding ship, and the information table includes ship information and navigation data.

[0054] The specific steps of the above-mentioned step S3 are as follows:

[0055] S31. Use a drawing tool to select a starting point and an ending point on the sea area map with a line to draw at least one closed area as the key regulatory area. The drawing tool is equipped with modules for adding, deleting and modifying the key regulatory area;

[0056] S32. Build a risk assessment model to prioritize the analysis of the information and dynamic behaviors of each ship within the key regulatory area, followed by the information and dynamic behaviors of each ship outside the key regulatory area. The dynamic behaviors include signal status, position changes, course trajectory changes, speed changes, and heading changes.

[0057] S33. The risk assessment model evaluates the risk levels of each ship inside and outside the area according to preset conditions, including the scoring of ship type, historical behaviors, route planning, and dynamic behaviors. The risk levels include low-risk ships, medium-risk ships, and high-risk ships.

[0058] S34. Take the high-risk ships as the key target ships.

[0059] The risk assessment model analyzes and updates the risk levels of each ship in real time based on the ship information and dynamic behaviors obtained in real time.

[0060] The risk assessment model also has a ship management module to obtain the ship management tables inside and outside the area, arrange them in descending order according to the risk levels, add or subtract ship names or ship MMSIs through this module, modify the risk levels of the specified ships and lock them, and unlock them manually or at regular intervals.

[0061] Conditions for high-risk ships: Frequent accidents occurred in the past two years or there are multiple serious safety hazards. Example: May face higher risks due to equipment aging, poor management, improper employee operations, etc.

[0062] Conditions for medium-risk ships: The occurrence frequency is relatively low, but there are still certain risks. Example: There are potential safety problems or deficiencies in management, but no serious accidents have occurred yet.

[0063] Conditions for low-risk ships: Have performed well in the past period of time and have a low accident rate. Example: Have good equipment maintenance, management norms, and crew training, so they are considered to have low risks.

[0064] The specific steps of step S4 are as follows:

[0065] S41. Build a monitoring and early warning model to monitor the key target ships and each ship inside and outside the area in real time and obtain the data of their dynamic behaviors.

[0066] S42. Analyze the dynamic behaviors to detect abnormal behaviors. At the same time, obtain the historical ship tracks and the position reporting data of the surrounding ships for analysis to judge whether there are abnormal situations such as waterborne loitering, ship berthing, or signal disappearance. When it is judged that a ship has abnormal behaviors, trigger an early warning and obtain the data of its dynamic behaviors in real time.

[0067] S43. The monitoring and early warning model further includes an auxiliary calculation module, which is provided with units for ship distance, ship speed, and navigation time. Based on the input parameters, the ship distance, ship speed, and navigation time are calculated to predict the position of the corresponding ship in real time;

[0068] S44. An early warning notice is sent to the designated device terminals through a preset communication terminal, including the device terminals of the ship with abnormal behavior, surrounding ships, and the management department. Among them, the predicted ship position is sent to the device terminal of the management department.

[0069] The specific steps of step S43 are as follows:

[0070] When calculating the voyage distance unit, the ship speed and time are manually input to calculate the voyage distance;

[0071] When calculating the ship speed unit, the ship voyage distance and time are manually input to calculate the ship speed;

[0072] When calculating the time unit, the ship speed and voyage distance are manually input to calculate the time.

[0073] The specific steps of step S5 are as follows:

[0074] Based on the information, dynamic behavior, and abnormal behavior of key ships, as well as the research and judgment information, a comprehensive research and judgment report is generated based on a report template. The report template includes ship basic information, key target description, safety assessment information, suggestion information, and attachment information.

[0075] The ship basic information includes ship name, MMSI, IMO, call sign, ship length, and ship width. The key target description includes target type, target value, target location, and estimated arrival time. The safety assessment information includes potential risks and safety measures. The suggestion information is the suggestion information formulated according to the risks. The attachment information includes ship pictures, satellite pictures, and data files.

[0076] When the ship enters the controlled sea area and the information and dynamic behavior of the corresponding ship are obtained, the risk assessment model calls the monitoring and early warning model for real-time dynamic tracking when the ship meets the preset tracking conditions, and generates a tracking target list, including key target ships and non-key target ships. When the ship meets the preset non-tracking conditions, the corresponding ship is removed from the tracking target list.

[0077] The tracking conditions can be high-risk ships, ships defined manually to be tracked, and ships within the designated sea area. The non-tracking conditions can be ships that have exceeded the designated sea area.

[0078] Each ship is displayed in real time on the sea area map of the display screen. The ships of the three risk levels are distinguished by three colors: red, yellow, and green. Red corresponds to high-risk ships, yellow corresponds to medium-risk ships, and green corresponds to low-risk ships. For ships with abnormal behavior, a flashing early warning prompt is given.

[0079] In this embodiment, a risk assessment model and a monitoring and early warning module are constructed. Through an intelligent model, manual analysis and identification of key target ships are replaced. First, the information and dynamic behaviors of each ship are identified within the sea area that needs to be controlled. Then, according to preset conditions, risk assessment and grading are carried out for each ship. Next, through the monitoring and early warning model, key control is carried out for high-risk ships, and the dynamic behaviors of each ship are tracked in real time and dynamically. When a ship has abnormal behaviors, the types of abnormal behaviors are analyzed in a timely manner, and early warning notifications are sent to it, the surrounding ships, and the equipment terminals of the management department, and a comprehensive research and judgment report is generated to achieve real-time and dynamic tracking of high-risk ships. By integrating key steps such as data processing, behavior analysis, and report generation, comprehensive, accurate, and timely supervision information and research and judgment reports are provided for the supervision department, improving the efficiency and accuracy of maritime traffic management and safety supervision.

[0080] The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by those skilled in the art within the technical scope disclosed by the present invention should be covered by the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

Claims

1. A method for dynamic tracking and management of key target ships, characterized in that: The specific steps include: S1. Obtain the marine vessel data in the sea area in real time, and obtain the information and navigation data of each vessel; S2, preprocessing the information and data obtained in S1, removing noise and outliers, and obtaining preprocessed information and data; S3. Use drawing tools to draw key supervision areas on the sea map, build a risk assessment model, give priority to analyzing the information and dynamic behavior of each ship in the key supervision area, followed by the information and dynamic behavior of each ship outside the area, assess the risk level of each ship inside and outside the area according to predetermined conditions, and take high-risk ships as key target ships; S4. Build a monitoring and early warning model to monitor the dynamic behavior of key target ships in real time, analyze the dynamic behavior, detect abnormal behavior, and trigger an early warning when abnormal behavior occurs and send an early warning notification to the designated device end through the preset communication end; S5. Generate a comprehensive assessment report based on the report template according to the information, dynamic behavior, abnormal behavior and assessment information of key ships.

2. A key target ship dynamic tracking management method as claimed in claim 1, characterized in that: The specific steps of step S1 are as follows: Obtain real-time data of marine vessels in a designated sea area from multiple data sources, including AIS system, radar system and satellite communication, and obtain real-time information and navigation data of each ship; The ship's information includes ship name, MMSI, IMO, call sign, length and width, and the navigation data includes position, navigation track, speed and heading.

3. A key target ship dynamic tracking management method as claimed in claim 2, characterized in that: The specific steps of step S2 are as follows: Preprocess the information and data obtained by S1 to remove noise and outliers, obtain preprocessed information and data, mark them on the sea map on the display screen according to the position and navigation status of each ship, generate the corresponding logo of each ship at the corresponding position on the sea map, and update it in real time; Select the specified identifier and generate the corresponding ship information table, which includes ship information and navigation data.

4. A key target ship dynamic tracking management method as claimed in claim 3, characterized in that: The specific steps of step S3 are as follows: S31. Using a drawing tool, select a starting point and an end point on a sea area map and draw at least one closed area as a key supervision area. The drawing tool is provided with modules for adding, deleting and modifying key supervision areas. S32. Build a risk assessment model, give priority to analyzing the information and dynamic behavior of each ship in the key supervision area, and secondly analyze the information and dynamic behavior of each ship outside the key supervision area. The dynamic behavior includes signal status, position change, heading trajectory change, speed change and heading change; S33. The risk assessment model assesses the risk level of each ship in and outside the region based on preset conditions, including the score of ship type, historical behavior, route planning and dynamic behavior. The risk levels include low-risk ships, medium-risk ships and high-risk ships; S34. High-risk ships shall be designated as key target ships.

5. A key target ship dynamic tracking management method as claimed in claim 4, characterized in that: The risk assessment model analyzes and updates the risk level of each ship in real time based on the ship information and dynamic behavior acquired in real time.

6. A key target ship dynamic tracking management method as claimed in claim 4, characterized in that: The risk assessment model is also provided with a ship management module, which obtains the ship management table inside and outside the area, arranges it from high to low according to the risk level, and uses this module to add or remove ship names or ship MMSIs, modify the risk level of a specified ship and lock it, manually unlock it or unlock it at a scheduled time.

7. A key target ship dynamic tracking management method as claimed in claim 4, characterized in that: The specific steps of step S4 are as follows: S41. Build a monitoring and early warning model to monitor key target ships and ships inside and outside the area in real time and obtain data on their dynamic behavior; S42, analyzing the dynamic behavior, detecting abnormal behavior, and obtaining the historical track of the ship and the position reporting data of surrounding ships for analysis to determine whether the ship has wandered abnormally on the water, docked abnormally, or lost its signal abnormally. When it is determined that the ship has abnormal behavior, trigger an early warning and obtain the data of its dynamic behavior in real time; S43, the monitoring and early warning model also includes an auxiliary calculation module, which is provided with a unit for ship distance, ship speed and sailing time, and calculates the ship distance, ship speed and sailing time according to the input parameters, and predicts the position of the corresponding ship in real time; S44. Sending a warning notification to a designated device terminal through a preset communication terminal, including the ship with abnormal behavior, surrounding ships and the device terminal of the management department, wherein the predicted ship position is sent to the device terminal of the management department.

8. A key target ship dynamic tracking management method as claimed in claim 7, characterized in that: The step S43 is specifically as follows: When calculating the distance unit, manually input the ship's speed and time to calculate the distance; When calculating the speed unit, the ship's distance and time are manually input to calculate the speed; When calculating the time unit, the ship's speed and distance are manually input to calculate the time.

9. A key target ship dynamic tracking management method as claimed in claim 7, characterized in that: The specific steps of step S5 are as follows: According to the information, dynamic behavior, abnormal behavior and analysis information of key ships, a comprehensive analysis report is generated based on the report template. The report template includes basic information of the ship, description of key targets, safety assessment information, recommendation information and attachment information.

10. A key target ship dynamic tracking management method as claimed in claim 1, characterized in that: The risk assessment model obtains the information and dynamic behavior of the corresponding ship when the ship enters the controlled sea area and meets the preset tracking conditions. The monitoring and early warning model is called to perform real-time dynamic tracking and generate a tracking target list, including key target ships and non-key target ships. When the ship meets the preset conditions that no tracking is required, the corresponding ship is removed from the tracking target list.

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