A system for dividing a maritime zebra crossing based on safe sailing of a ship

Abstract

The application relates to the technical field of safe sailing of ships, and discloses a system for dividing sea zebra lines based on safe sailing of ships, which has the technical scheme as follows: the system comprises a network terminal, an environment analysis module, a data reasoning module, an autonomous updating module and a detection module; the network terminal generates a dynamic zebra line area, which is used for planning a ship sailing route; when a ship enters the dynamic zebra line area, a meeting signal is sent to the ship; the ship feeds back a data field to the network terminal; the network terminal sends an environment analysis signal; the environment analysis module collects data fields of all ships, integrates the data fields into a data assembly, and sends a reasoning signal; the data reasoning module generates a preplan strategy for ship meeting according to the data assembly, predicts all ship meeting conditions, and then sends route information required by each ship to the ships; after receiving the route information, the detection module detects whether the ships sail according to the route information.

Description

Technical Field

[0001] This invention relates to the field of ship safety navigation technology, and more specifically to a system for dividing zebra crossings at sea based on ship safety navigation. Background Technology

[0002] The maritime zebra crossing, technically known as a maritime safety warning zone, has three main rules for passage: First, vessels navigating in and around the warning zone must exercise extreme caution, maintain a vigilant lookout, keep a safe speed, and maintain close communication with passing vessels, ensuring a safe distance and avoiding any risky maneuvering. Second, anchoring within the warning zone is prohibited. Third, vessels navigating in and around the warning zone must strictly adhere to the regulations of the Zhoushan Vessel Traffic Management System. Given the significant collision risk within the maritime warning zone, vessels must be highly vigilant regarding surrounding traffic flow, carefully analyze potential collision hazards, and navigate with extreme caution when crossing it.

[0003] In existing technologies, when ships meet, two or more ships interact through a system. This interaction requires information exchange after the other ship's position is detected, which can easily lead to information errors. Furthermore, this type of maritime zebra crossing is not easy to simulate by pre-setting a route when a specified course is specified, which can easily lead to deviations in reality and make it difficult to reduce calculation errors. In addition, existing technologies are not easy to generate autonomously updated systems for different situations. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention aims to provide a system for defining maritime zebra crossings based on safe ship navigation. This system overcomes the aforementioned deficiencies by expanding the coverage area of ​​the dynamic zebra crossing zone beyond the radar scanning range of the ships, enabling unified monitoring and management of all vessels. It infers the impending meeting points of ships, avoids these points, and replans temporary routes for each ship, preventing delays in information about temporary meeting points. An environmental analysis module performs corresponding environmental analysis to ensure safe navigation. A detection module checks whether ships are following their routes and corrects errors based on the actual situation. An autonomous update module calculates historical congestion levels for each ship's contingency plan, automatically updating routes and planning new routes to avoid multiple ships vying for the crossing. It also acquires ship information, combining ship purpose, original route information, and remaining energy information to determine route clearance levels. Furthermore, it inquires about emergencies on board, generating emergency passage routes to reduce the sudden impact of unexpected events and quickly develop emergency response plans, thus ensuring maritime safety.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a system for dividing zebra crossings at sea based on safe ship navigation, comprising a network terminal, an environmental analysis module, a data inference module, an autonomous update module, and a detection module; the network terminal generates dynamic zebra crossing areas for planning ship routes; when a ship enters the dynamic zebra crossing area, it sends a meeting signal to the ship; the ship feeds back data fields to the network terminal; the network terminal sends an environmental analysis signal; the environmental analysis module collects all ship data fields, summarizes them into a data aggregate, and sends an inference signal; the data inference module generates a contingency plan strategy for ship encounters based on the data aggregate, predicts the meeting situations of all ships, and then sends the route information that each ship needs to execute to each ship; after receiving the route information, the detection module detects whether the ship is traveling according to the route information and feeds back the real-time information of the ship to the environmental analysis module; the data inference module infers whether the ship's travel is standardized; the autonomous update module records the meeting signals for each time period to change the travel rules of the dynamic zebra crossing area. By extending the coverage area of ​​the dynamic zebra crossing area beyond the radar scanning range of the ships, all vessels can be monitored uniformly and managed under a single plan. This involves inferring the impending meeting points of ships, avoiding these points, and replanning temporary routes for each vessel. This avoids delays in information dissemination during transit. An environmental analysis module performs corresponding environmental analysis to ensure accurate navigation. A detection module checks whether ships are following their routes and corrects errors based on the actual situation. An autonomous update module calculates historical congestion levels for each vessel's contingency plan, automatically updating routes and planning new routes to prevent multiple vessels from vying for space. It also acquires vessel information, combining vessel purpose, original route information, and remaining energy to determine route clearance levels. Furthermore, it inquires about any emergencies on board, generating emergency routes to reduce the sudden impact of unexpected events and quickly develop emergency response plans, thus ensuring maritime safety.

[0006] As a further improvement of the present invention, the coverage area of ​​the dynamic zebra crossing area is greater than the radar scanning range of the ship.

[0007] As a further improvement of the present invention, during the waiting period for network terminal processing after the rendezvous signal is issued, the network terminal first feeds back a slow travel distance, which includes the specific deceleration travel distance and the specific value of the speed after deceleration for each ship.

[0008] As a further improvement of the present invention, the data fields include vessel purpose, original route information, remaining energy information, and situation information.

[0009] As a further improvement of the present invention, the network terminal is equipped with a first response strategy and a second response strategy for responding to intersection signals; the first response strategy is to determine the route passage level by comprehensively considering the ship's purpose, original route information and remaining energy information; the second response strategy is to generate an emergency passage route by comprehensively considering situation information when there is an emergency on the ship.

[0010] As a further improvement of the present invention, the environmental analysis module includes an image analysis unit; the image analysis unit consists of several UAV monitoring devices, each matched with a corresponding ship, and each route information is sent to the corresponding UAV monitoring device.

[0011] As a further improvement of the present invention, the detection module includes several image acquisition devices, several positioning devices, and several speed sensors; each image acquisition device, positioning device, and speed sensor is matched with a vessel, and the movement information fed back by the vessel is fed back to the UAV monitoring device. The UAV monitoring device compares the movement information with the route information in the pre-planned strategy to determine whether the driving is in accordance with regulations. This route is the actual route.

[0012] As a further improvement of the present invention, the same vessel travels different routes at different times in the dynamic zebra crossing area.

[0013] As a further improvement of the present invention, the autonomous update module is equipped with an update strategy, which involves retrieving historical information, calculating the historical congestion level value based on each contingency plan strategy for the same vessel in the historical records, comparing it with the congestion level value of the vessel on the actual route, determining whether there is any improvement, and generating improvement data.

[0014] As a further improvement of the present invention, the detection module is equipped with a path guidance strategy; the path guidance strategy is that when the ship's navigation is irregular, the detection module sends an adjustment signal, the data reasoning module infers a new corrective route from the movement information, and the UAV monitoring device is equipped with a prompting strategy to send a prompting signal to the ship, and the ship proceeds according to the prompting signal.

[0015] The beneficial effects of this invention are:

[0016] (1) This invention enables unified monitoring and management of all ships by expanding the coverage area of ​​the dynamic zebra crossing area to be larger than the radar scanning range of the ships. It infers the location where ships are about to meet, avoids the meeting point, and replans temporary routes for each ship, thus avoiding the problem of information delay during temporary meeting. The environmental analysis module completes the corresponding environmental analysis to ensure the propagation of the route. The detection module detects whether the ship is traveling according to the route and corrects it according to the actual situation to avoid errors. The self-updating module calculates the historical congestion level value for each contingency strategy of the same ship, thereby updating the route by itself. It can plan new routes to avoid the problem of multiple ships competing for the line. It can also obtain the ship's own information, formulate the route passage level by combining the ship's purpose, original route information and remaining energy information, inquire whether there is an emergency on the ship, generate an emergency passage route, reduce the sudden impact of sudden events, and quickly make emergency response plans to ensure maritime safety. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of the system modules of the present invention.

[0018] Reference numerals: 101, Network terminal; 102, Environment analysis module; 103, Data inference module; 104, Autonomous update module; 105, Detection module; 1, First response strategy; 2, Second response strategy; 3, Image analysis unit; 4, Update strategy; 5, Path guidance strategy. Detailed Implementation

[0019] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Identical components are denoted by the same reference numerals. It should be noted that the terms "front," "rear," "left," "right," "upper," and "lower" used in the following description refer to directions in the accompanying drawings, and the terms "bottom surface," "top surface," "inner," and "outer" refer to directions toward or away from the geometric center of a specific component, respectively.

[0020] Reference Figure 1As shown in this embodiment, a system for dividing zebra crossings at sea based on safe ship navigation includes a network terminal 101, an environmental analysis module 102, a data inference module 103, an autonomous update module 104, and a detection module 105. The network terminal 101 generates dynamic zebra crossing areas for planning ship routes. When a ship enters the dynamic zebra crossing area, it sends a meeting signal. The ship feeds back data fields to the network terminal 101, which then sends an environmental analysis signal. The environmental analysis module 102 collects all ship data fields, summarizes them into a data aggregate, and sends an inference signal. The data inference module 103 generates a contingency plan strategy for ship encounters based on the data aggregate, predicts the meeting situations of all ships, and then sends the route information that each ship needs to execute to each ship. After receiving the route information, the detection module 105 detects whether the ship is traveling according to the route information and feeds back the real-time information of the ship to the environmental analysis module 102. The data inference module 103 infers whether the ship's navigation is standardized. The autonomous update module 104 records the meeting signals for each time period for updating... The navigation rules for dynamic zebra crossing areas have been modified. By expanding the coverage area of ​​these areas beyond the radar scanning range of ships, all vessels can be monitored uniformly and managed under a single plan. This involves inferring the impending meeting points of ships, avoiding these points, and replanning temporary routes for each vessel. This avoids delays in information dissemination during temporary meetings. An environmental analysis module is used to perform corresponding environmental analysis, ensuring accurate navigation. A detection module checks whether ships are following their routes and corrects errors based on the actual situation. An autonomous update module calculates historical congestion levels for each vessel's contingency plan, automatically updating routes and planning new routes to avoid multiple vessels vying for space. It also acquires vessel information, combining vessel purpose, original route information, and remaining energy information to determine route clearance levels. Furthermore, it inquires about any emergencies on board, generating emergency passage routes to reduce the sudden impact of unexpected events and quickly develop emergency response plans, thus ensuring maritime safety.

[0021] like Figure 1 As shown, the coverage area of ​​the dynamic zebra crossing area is larger than the radar scanning range of the ship.

[0022] like Figure 1 As shown, during the waiting period after the rendezvous signal is issued and while waiting for the network terminal 101 to process it, the network terminal 101 first feeds back a slow travel distance, which includes the specific deceleration travel distance and the specific value of the speed after deceleration for each ship.

[0023] like Figure 1 As shown, the data fields include vessel purpose, original route information, remaining energy information, and situation information.

[0024] like Figure 1 As shown, the network terminal is equipped with a first response strategy 1 and a second response strategy 2 for responding to intersection signals; the first response strategy 1 is to determine the route passage level by comprehensively considering the ship's purpose, original route information and remaining energy information; the second response strategy 2 is to generate an emergency passage route by comprehensively considering situation information when there is an emergency on the ship.

[0025] like Figure 1 As shown, the environmental analysis module 102 includes an image analysis unit 3; the image analysis unit 3 consists of several UAV monitoring devices, each matched with a corresponding ship, and each route information is sent to the corresponding UAV monitoring device.

[0026] like Figure 1 As shown, the detection module 105 includes several image acquisition devices, several positioning devices, and several speed sensors; each image acquisition device, positioning device, and speed sensor is matched with a vessel, and the movement information fed back by the vessel is fed back to the UAV monitoring device. The UAV monitoring device compares the movement information with the route information in the pre-planned strategy to determine whether the driving is in accordance with regulations. This route is the actual route.

[0027] like Figure 1 As shown, the same vessel travels different routes at different times in the dynamic zebra crossing area.

[0028] like Figure 1 As shown, the autonomous update module 104 is equipped with update strategy 4. The update strategy 4 is to retrieve historical information, calculate the historical congestion level value based on each contingency plan strategy of the same ship in the historical records, compare it with the congestion level value of the ship on the actual route, determine whether there is any improvement, and generate improvement data.

[0029] like Figure 1 As shown, the detection module 105 is configured with a path guidance strategy 5. The path guidance strategy 5 is as follows: when the ship's navigation is irregular, the detection module 105 sends an adjustment signal, the data reasoning module 103 infers a new corrective route from the movement information, and the UAV monitoring device is equipped with a prompting strategy to send a prompting signal to the ship, and the ship proceeds according to the prompting signal.

[0030] Working principle: such as Figure 1As shown, the network terminal and the ship network route node send a convergence signal, which includes route information, situation information, the ship's own purpose and energy information, and provides warnings and location information, indicating whether the area is an accident-prone area or a departure / return area. Corresponding to two systems, during the convergence signal processing phase, the network terminal first provides a slow travel distance, which is specific to each ship's deceleration distance and time. Then, after integrating the convergence signals, each ship is assigned a color, and the order of passage through the moving zebra crossing is determined based on the color, determining the event priority. If a life-threatening event occurs, priority is given to all decisions. The network terminal is equipped with a first response strategy and a second response strategy. The first response strategy determines the route passage level by comprehensively considering the ship's purpose, original route information, and remaining energy information; the second response... The strategy is based on comprehensive situational information. When an emergency occurs within a vessel, an emergency passage route is generated, and a travel route is planned for each vessel. Different avoidance strategies are formulated based on the number of vessels, with lower priority vessels being avoided first and lower energy levels being given secondary avoidance conditions. Avoidance detection is performed within this dynamic zebra crossing area to prevent route execution errors. When an error occurs, the detection module issues an alarm. When a vessel's movement is irregular, the detection module issues an adjustment signal. The data inference module infers a new corrective route from the movement information. The UAV monitoring device is equipped with a prompting strategy and issues prompting signals to the vessels. The vessels proceed according to the prompting signals. When assigning a level to each vessel and travel route, one level is matched with one color, and each vessel's own color corresponds to the color of each travel route.Each vessel is equipped with a detection device to check for deviations from the designated route. The network terminal of the detection module generates a dynamic zebra crossing area. Once a vessel enters the zebra crossing area, monitoring begins, issuing warning signals and information requests. This information includes the vessel's route, situation, purpose, and energy levels. A path guidance strategy is then developed. The environmental analysis module's image analysis unit determines the zebra crossing area's coverage area based on whether a vessel enters at a specific time according to the designated route, and the number of vessels traveling within a given time period. Different routes and speeds are assigned to corresponding vessels. During the intersection signal processing phase, the network terminal first provides a slow travel distance to generate a contingency plan strategy. The simulation module simulates the smoothness of passage, selects a route, and sends it to the vessel. The autonomous update module retrieves historical information to determine historical congestion levels, compares them with the actual congestion levels of each different contingency plan strategy, assesses improvements, and generates improvement data. This is achieved through dynamic zebra crossing... The coverage area of ​​the radar crossroads is larger than the radar scanning range of ships, enabling unified monitoring and management of all vessels. This involves inferring the impending meeting point of ships, avoiding these points, and replanning temporary routes for each ship to avoid delays in information transmission during transit. An environmental analysis module is used to perform corresponding environmental analysis, ensuring accurate navigation. A detection module checks whether ships are following their routes and corrects errors based on the actual situation. An autonomous update module calculates historical congestion levels for each ship's contingency plan, automatically updating routes and planning new routes to avoid multiple ships vying for the crossroads. It also acquires ship information, combining ship purpose, original route information, and remaining energy information to determine route clearance levels, inquire about emergencies on board, and generate emergency passage routes to reduce the sudden impact of unexpected events and quickly develop emergency response plans, ensuring maritime safety.

[0031] The above are merely preferred embodiments of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principle of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A system for defining zebra crossings at sea based on safe navigation of ships, characterized in that: It includes a network terminal (101), an environment analysis module (102), a data inference module (103), an autonomous update module (104), and a detection module (105); The network terminal (101) generates a dynamic zebra crossing area for planning ship routes. When a ship enters the dynamic zebra crossing area, it sends a meeting signal to the ship. The ship feeds back data fields to the network terminal (101). The network terminal (101) sends an environmental analysis signal. The environmental analysis module (102) collects all the data fields of the ships and summarizes them into a data assembly, and sends an inference signal. The data inference module (103) generates a contingency plan strategy for ship encounters based on the data assembly, predicts the meeting situation of all ships, and then sends the route information that each ship needs to execute to each ship. After receiving the route information, the detection module (105) detects whether the ship is traveling according to the route information and feeds back the real-time information of the ship to the environmental analysis module (102). The data inference module (103) infers whether the ship's travel is standardized. The self-updating module (104) records the meeting signals of each time period for changing the travel rules of the dynamic zebra crossing area. The autonomous update module (104) is equipped with an update strategy (4). The update strategy (4) retrieves historical information, calculates the historical congestion level value based on each contingency plan strategy of the same ship in the historical records, compares it with the congestion level value of the ship on the actual route, determines whether there is any improvement, and generates improvement data.

2. The system for dividing zebra crossings at sea based on safe ship navigation according to claim 1, characterized in that: The coverage area of ​​the dynamic zebra crossing area is greater than the radar scanning range of the ship.

3. A system for dividing zebra crossings at sea based on safe ship navigation, as described in claim 2, is characterized in that: After the rendezvous signal is sent, while waiting for the network terminal (101) to process it, the network terminal (101) first feeds back a slow travel distance, which includes the specific deceleration travel distance and the specific value of the speed after deceleration for each ship.

4. A system for dividing zebra crossings at sea based on safe ship navigation, as described in claim 3, characterized in that: The data fields include vessel purpose, original route information, remaining energy information, and situation information.

5. A system for dividing zebra crossings at sea based on safe ship navigation according to claim 1, characterized in that: The network terminal (101) is equipped with a first response strategy (1) and a second response strategy (2) for responding to intersection signals; The first response strategy (1) is to determine the route passage level by comprehensively considering the ship's purpose, original route information and remaining energy information; The second response strategy (2) is to integrate situational information and generate an emergency passage route when there is an emergency on board.

6. A system for dividing zebra crossings at sea based on safe ship navigation, as described in claim 1, characterized in that: The environmental analysis module (102) includes an image analysis unit (3); The image analysis unit (3) consists of several UAV monitoring devices, each matched with a corresponding ship, and each route information is sent to the corresponding UAV monitoring device.

7. A system for dividing zebra crossings at sea based on safe ship navigation, as described in claim 6, characterized in that: The detection module (105) includes several image acquisition devices, several positioning devices and several speed sensors; An image acquisition device, a positioning device, and a speed sensor are matched with a ship. The ship's movement information is fed back to the UAV monitoring device. The UAV monitoring device compares the movement information with the route information in the pre-planned strategy to determine whether the ship is traveling in accordance with the plan. This route is the actual route taken.

8. A system for dividing zebra crossings at sea based on safe ship navigation, as described in claim 1, characterized in that: The same vessel may take different routes in the dynamic zebra crossing area at different times.

9. A system for dividing zebra crossings at sea based on safe ship navigation, as described in claim 1, characterized in that: The detection module (105) sets a path guidance strategy (5); The path guidance strategy (5) is as follows: when the ship's movement is irregular, the detection module (105) sends an adjustment signal, the data reasoning module (103) infers a new corrective route from the movement information, the UAV monitoring device is equipped with a prompting strategy, and sends a prompting signal to the ship, and the ship proceeds according to the prompting signal.

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