A submarine cable intelligent cruising safety detection and early warning method and system

Abstract

The present disclosure provides a submarine cable intelligent cruise safety detection and early warning method and system, relating to the technical field of cruise safety detection, which comprises: generating a cruise control list; 3D modeling of the target ship to generate a target three-dimensional model; constructing a cruise simulation model; determining cruise requirements, wherein the cruise requirements include cruise path, speed, and take-off and landing position; obtaining real-time sea wave elements and real-time wind elements to generate a sea wave spectrum; debugging and analyzing the cruise simulation model to determine the roll reduction prediction result; configuring multi-level safety cruise standards to build a safety cruise prediction model; based on the safety cruise prediction model, determining the roll reduction prediction result, and outputting safety warning information for cruise safety warning. The technical problem of insufficient cruise safety detection and early warning accuracy due to poor cruise simulation results and inaccurate roll reduction prediction results in the prior art is solved.

Description

Technical Field

[0001] This application relates to the field of cruise safety detection technology, specifically to a method and system for intelligent cruise safety detection and early warning of submarine cables. Background Technology

[0002] The large-scale application of submarine cable lines has brought a series of management challenges to cable line operation and management units, such as the timely detection of vessel violations, on-site evidence collection and handling, and patrols of landing points. By employing scientific and technological means, research is being conducted to solve problems related to preventing external damage in actual engineering operations. This involves making full use of existing vessels and equipping them with shipborne intelligent long-endurance drones to achieve high mobility, high detection capabilities, high scalability, and effective control over patrol conditions.

[0003] Currently, existing technologies suffer from inaccurate anti-roll prediction results due to poor cruise simulation performance, leading to insufficient accuracy in cruise safety detection and early warning. Summary of the Invention

[0004] This disclosure provides a method and system for intelligent cruise safety detection and early warning of submarine cables, which solves the technical problem in the prior art where the cruise simulation effect is poor and the obtained anti-rolling prediction results are inaccurate, resulting in insufficient accuracy of cruise safety detection and early warning.

[0005] According to a first aspect of this disclosure, a method for intelligent cruise safety detection and early warning of submarine cables is provided, comprising: determining various ship force parameters based on multiple ship operation scenarios and generating a cruise control list; performing 3D modeling of the target ship to generate a target three-dimensional model; performing cruise simulation based on the cruise control list and combining the target three-dimensional model to construct a cruise simulation model; determining cruise requirements based on the inspection task, wherein the cruise requirements include cruise path, speed, and take-off and landing positions; acquiring real-time wave elements and real-time wind elements to generate a wave spectrum; based on the cruise requirements, and according to the cruise path, speed, take-off and landing positions, and wave spectrum, debugging and analyzing the cruise simulation model to determine the roll reduction prediction result; configuring multi-level safe cruise standards to construct a safe cruise prediction model; and judging the roll reduction prediction result based on the safe cruise prediction model and outputting safety early warning information for cruise safety early warning.

[0006] According to a second aspect of this disclosure, a submarine cable intelligent cruise safety detection and early warning system is provided, comprising: a cruise control list generation module, which is used to determine various ship force parameters based on multiple ship operation scenarios and generate a cruise control list; a 3D model generation module, which is used to perform 3D modeling of the target ship and generate a target 3D model; a cruise simulation module, which is used to perform cruise simulation based on the cruise control list and, in conjunction with the target 3D model, construct a cruise simulation model; and a cruise requirement determination module, which is used to determine cruise requirements based on the inspection task, wherein the cruise requirements include cruise path, speed, and take-off and landing position. The system includes: a wave spectrum generation module, which acquires real-time wave and wind elements to generate a wave spectrum; a roll reduction prediction module, which, based on the cruise requirements, the cruise path, the speed, the takeoff and landing position, and the wave spectrum, debugs and analyzes the cruise simulation model to determine the roll reduction prediction result; a safe cruise prediction model construction module, which configures multi-level safe cruise standards and constructs a safe cruise prediction model; and a roll reduction prediction result judgment module, which, based on the safe cruise prediction model, judges the roll reduction prediction result and outputs safety warning information for cruise safety alerts.

[0007] According to a third aspect of this disclosure, an electronic device is provided, comprising:

[0008] At least one processor; and

[0009] A memory communicatively connected to the at least one processor; wherein,

[0010] The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method described in the first aspect.

[0011] According to the intelligent cruise safety detection and early warning method for submarine cables adopted in this disclosure, based on multiple ship operation scenarios, various ship force parameters are determined, and a cruise control list is generated; 3D modeling of the target ship is performed to generate a target three-dimensional model; cruise simulation is performed based on the cruise control list, and a cruise simulation model is constructed by combining the target three-dimensional model; based on the inspection task, cruise requirements are determined, including cruise path, speed, and take-off and landing positions; real-time wave elements and real-time wind elements are acquired to generate a wave spectrum; based on the cruise requirements, the cruise simulation model is debugged and analyzed according to the cruise path, speed, take-off and landing positions, and wave spectrum to determine the roll reduction prediction results; multi-level safety cruise standards are configured to construct a safety cruise prediction model; based on the safety cruise prediction model, the roll reduction prediction results are judged, and safety early warning information is output for cruise safety early warning. This disclosure achieves the technical effect of ensuring navigation accuracy and improving the timeliness and accuracy of cruise safety early warning by establishing a cruise simulation model, performing cruise simulation, obtaining roll reduction prediction results, judging the roll reduction prediction results, and obtaining safety early warning information for cruise safety early warning.

[0012] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this disclosure, nor is it intended to limit the scope of this disclosure. Other features of this disclosure will become readily apparent from the following description. Attached Figure Description

[0013] To more clearly illustrate the technical solutions in this disclosure or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0014] Figure 1 A flowchart illustrating a method for intelligent cruise safety detection and early warning of submarine cables provided in this embodiment of the present disclosure;

[0015] Figure 2 This is a schematic diagram of the structure of a submarine cable intelligent patrol safety detection and early warning system provided in an embodiment of the present disclosure;

[0016] Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this disclosure.

[0017] Explanation of reference numerals in the attached diagram: Cruise control list generation module 11, 3D model generation module 12, Cruise simulation module 13, Cruise requirement determination module 14, Wave spectrum generation module 15, Roll reduction prediction module 16, Safe cruise prediction model construction module 17, Roll reduction prediction result judgment module 18, Electronic device 800, Processor 801, Memory 802, Bus 803. Detailed Implementation

[0018] The exemplary embodiments of this disclosure are described below with reference to the accompanying drawings, including various details of the embodiments to aid understanding, and should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this disclosure. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0019] In order to solve the technical problem that the existing technology has poor cruise simulation effect and inaccurate anti-rolling prediction results, which leads to insufficient accuracy of cruise safety detection and early warning, the inventors of this disclosure have creatively obtained a method and system for intelligent cruise safety detection and early warning of submarine cables.

[0020] Example 1

[0021] Figure 1 A diagram illustrating a method for intelligent cruise safety detection and early warning of submarine cables provided in this application embodiment is shown below. Figure 1 As shown, the method includes:

[0022] Step S100: Based on various ship operation scenarios, determine various ship force parameters and generate a cruise control list;

[0023] In this embodiment, step S100 includes:

[0024] Step S110: Connect to the maritime surveillance system and retrieve various patrol scenarios;

[0025] Step S120: For the various cruise scenarios, determine multiple sets of scenario elements;

[0026] Step S130: Analyze multiple sets of ship force parameters based on multiple sets of scene elements;

[0027] Step S140: Map and associate the various scenario factors with the multiple sets of ship force parameters to generate multiple sets of parameter sequences;

[0028] Step S150: Integrate the multiple sets of parameter sequences to obtain the cruise control list.

[0029] Specifically, there are various types of ships used for submarine cable patrols, and these ships differ in model, specifications, etc. Various ship operation scenarios refer to the operating environments of different types of patrol ships. Based on this, various ship force parameters are determined, and a patrol control list is generated. These ship force parameters are obtained based on dimensions such as bow roll, roll, and pitch, including the direction and magnitude of the forces acting on the ship. The patrol control list includes parameters such as the direction and magnitude of the forces acting on the ship under different patrol scenarios. In other words, the ship force parameters under different patrol scenarios are determined, and a patrol control list is generated accordingly.

[0030] Specifically, the maritime surveillance system is a platform for maritime security and prevention supervision. Connecting to the maritime surveillance system, it retrieves various patrol scenarios, which represent different maritime environments. For each scenario, multiple sets of scenario elements are determined, including water flow direction, water flow velocity, buoyancy, etc. Based on these elements, multiple sets of ship force parameters are analyzed. In other words, water flow direction, water flow velocity, buoyancy, etc., differ in different scenarios. Based on this analysis, ship force parameters under different scenarios are determined. Multiple scenario factors correspond to multiple sets of ship force parameters; one scenario factor corresponds to one set of ship force parameters. Mapping and associating these correspondences generates multiple parameter sequences. Each parameter sequence contains one scenario factor and its corresponding set of ship force parameters. Integrating and summarizing these parameter sequences yields the patrol control list. During the patrol process of shipborne UAVs, the steady state during takeoff and landing affects subsequent navigation accuracy. Therefore, ensuring the steady state during ship takeoff and landing guarantees subsequent navigation accuracy.

[0031] Step S200: Perform 3D modeling of the target ship to generate a three-dimensional model of the target;

[0032] In this embodiment, step S200 includes:

[0033] Step S210: Disassemble the target ship into components to identify multiple target components;

[0034] Step S220: Perform 3D modeling on the multiple target components to determine multiple component models;

[0035] Step S230: Assemble the multiple component models to form the target three-dimensional model;

[0036] Step S240: Obtain the ship's operation mechanism and optimize the target 3D model based on the ship's operation mechanism.

[0037] Specifically, the target ship refers to the ship that needs to be patrolled for safety inspection and early warning. "3D modeling" refers to using 3D production software to construct a model with 3D data in a virtual 3D space. The target 3D model is the 3D model of the target ship.

[0038] Specifically, the target ship is disassembled into its components. Simply put, the target ship is composed of multiple components, such as the power engine, transmission equipment and shafting, generator set, air compressor, fuel pump, lubricating oil pump, cooling water pump, various cabinets in the engine room, and exhaust pipes. Based on this, multiple target components are identified; these target components are the parts that make up the target ship. Further, multiple target components are modeled in 3D to determine multiple component models. That is, 3D models are created for each of the target ship's components, resulting in multiple component models. Connecting these component models together forms the target 3D model. The ship's operating mechanism is then obtained. The ship's operating mechanism is the principle of its operation. For example, the propulsion system pushes water backward, and the reaction force of the water acts on the hull, forcing the ship forward; the prime mover drives the generator to generate electricity, which is then distributed to the electric motors via a power distribution and frequency conversion system, and finally, the electric motors drive the propeller to propel the ship forward. The target 3D model is optimized based on the ship's operation mechanism, so that the target 3D model can simulate the ship's operation process, thereby accurately establishing the ship's 3D model and laying a solid foundation for subsequent safety detection and early warning.

[0039] Step S300: Based on the cruise control list, perform cruise simulation and, in conjunction with the target 3D model, construct a cruise simulation model;

[0040] In this embodiment, step S300 includes:

[0041] Step S310: Construct a dynamic simulation space;

[0042] Step S320: Embed the cruise control list into the dynamic simulation space, perform trial training and storage based on the multiple sets of scene elements and the multiple sets of ship force parameters, and determine the scene simulation space;

[0043] Step S330: Embed the target 3D model into the scene simulation space to generate the cruise simulation model.

[0044] Specifically, cruise simulation is performed based on multiple sets of ship force parameters under various cruise scenarios in the cruise control list. Combined with the target 3D model, a cruise simulation model is constructed. In simple terms, it is to perform cruise simulation under different cruise scenarios by combining the target 3D model.

[0045] Specifically, a dynamic simulation space is constructed. This dynamic simulation space is used for cruise simulation. The cruise control list is embedded in the dynamic simulation space. Based on multiple sets of scene elements and multiple sets of ship force parameters, trial training and storage are performed to determine the scene simulation space. Simply put, the dynamic simulation space is divided into multiple simulation spaces under different scenarios according to multiple sets of scene elements and multiple sets of ship force parameters, which facilitates scene switching. Then, the target 3D model is embedded in the scene simulation space, and simulations under different scenarios are performed based on the target 3D model, thereby generating a cruise simulation model. The cruise simulation model includes cruise simulations under different scenarios, which achieves the effect of providing data support for subsequent cruise safety early warning and improving the accuracy of early warning.

[0046] Step S400: Based on the inspection task, determine the cruise requirements, wherein the cruise requirements include the cruise route, speed, and take-off and landing positions;

[0047] Specifically, the inspection mission refers to the inspection work that the patrolling ship needs to complete. Based on this, the patrol requirements are determined. The patrol requirements refer to the driving requirements of shipborne UAVs during the patrol process, specifically including the patrol path, speed, and take-off and landing positions.

[0048] Step S500: Acquire real-time wave elements and real-time wind elements, and generate a wave spectrum;

[0049] Specifically, a wave spectrum is a pattern used to describe the distribution of energy within an ocean wave relative to its frequency and direction. Simply put, an ocean wave can be viewed as composed of an infinite number of component waves with different amplitudes, frequencies, directions, and phases; these component waves constitute the wave spectrum. Real-time wave and wind parameters are obtained. Real-time wave parameters refer to the main parameters representing the shape and properties of ocean waves, including wave height, period, waveform, and wave direction. Real-time wind parameters include wind direction, wind speed, and wind force. Based on this, the wave spectrum is generated.

[0050] Step S600: Based on the cruise requirements, and according to the cruise path, the speed, the take-off and landing position and the wave spectrum, the cruise simulation model is debugged and analyzed to determine the roll reduction prediction result;

[0051] In this embodiment, step S600 further includes:

[0052] Step S610: Determine the ship's force parameters based on the cruise requirements and the wave spectrum;

[0053] Step S620: Determine the roll reduction control mechanism for the roll reduction equipment of the target ship;

[0054] Step S630: Based on the cruise simulation model, and according to the ship's force parameters and the roll reduction control mechanism, output the roll reduction prediction result, wherein the roll reduction prediction result table includes the simulation recovery torque and the simulation roll reduction image.

[0055] Specifically, based on the cruise requirements, the cruise simulation model is debugged and analyzed according to the cruise path, speed, take-off and landing position and wave spectrum. Simply put, cruise simulation is carried out, and the roll reduction prediction result is determined based on the simulation results. The roll reduction prediction result is used to determine the roll reduction effect of the ship.

[0056] Specifically, the ship's force parameters are analyzed based on cruise requirements and wave spectrum. Cruise requirements include cruise path, speed, and take-off and landing positions. Wave spectrum can reflect the distribution of energy within the waves relative to frequency and direction. Based on this, the ship's force situation is analyzed, and the buoyancy, hydrodynamics, and propeller thrust experienced by the ship are analyzed and calculated to obtain the overall force situation and determine the ship's force parameters, including the direction of force, magnitude of force, and direction of sway. For the anti-roll equipment of the target ship, the anti-roll control mechanism is determined. Anti-roll equipment refers to the equipment used to reduce the hull roll, including bilge keel anti-roll fins, anti-roll tanks, rudder anti-roll equipment, etc. The anti-roll control mechanism refers to the principle by which the anti-roll equipment reduces the ship's roll. For example, the principle of the gyro anti-roll device to reduce the ship's roll is that there is a high-speed rotating rotor with a large inertia inside the device. When it rolls with the hull, the high-speed rotor will swing back and forth along the length of the ship and at the same time generate a huge reaction torque opposite to the direction of the ship's roll. This reaction torque cancels out the wave torque that pushes the ship to roll, and finally achieves the ship's stability without rolling. Based on a cruise simulation model, and according to the ship's force parameters and roll reduction control mechanism, a ship cruise simulation is performed, outputting roll reduction prediction results. These prediction results refer to the roll reduction effect during the cruise simulation using the model. The roll reduction prediction result table includes simulated recovery moment and simulated roll reduction images. Recovery moment refers to the moment that restores the ship to a normal state when it tilts due to the fact that the points of application of gravity and buoyancy are not on the same vertical line. Taking heeling as an example, for a ship floating on the waterline, when the center of gravity and center of buoyancy are not on the same vertical line, gravity and buoyancy form a couple, causing the ship to return to its initial equilibrium position; at this time, the recovery moment is positive. When the couple formed by gravity and buoyancy causes the ship to continue heeling, the recovery moment is negative. The simulated recovery moment is the recovery moment obtained during the cruise simulation using the model. The simulated roll reduction images refer to the roll reduction video images during the simulation. This achieves the technical effect of accurately obtaining roll reduction prediction results and improving the accuracy of safety warnings.

[0057] Step S700: Configure multi-level safe cruise standards and build a safe cruise prediction model;

[0058] Specifically, the safety cruise standards differ in different scenarios. Based on this, a multi-level safety cruise standard is configured. Furthermore, a safety cruise prediction model is constructed. The safety cruise prediction model analyzes the roll reduction prediction results to determine whether the roll reduction effect meets the standard and whether it can support the take-off and landing of carrier-based aircraft.

[0059] Step S800: Based on the safe cruise prediction model, determine the anti-roll prediction result and output safety warning information to provide cruise safety warning.

[0060] Wherein, based on the safe cruise prediction model, the anti-roll prediction result is determined, and a safety warning information is output for cruise safety warning. In this embodiment of the application, step S800 includes:

[0061] Step S810: Input the anti-roll prediction result into the safe cruise prediction model;

[0062] Step S820: Calculate the required restoring torque of the anti-roll device based on the ship's force parameters and the anti-roll control mechanism;

[0063] Step S830: Compare the simulated restoring torque with the required restoring torque to determine the restoration deviation value;

[0064] Step S840: Match the safe cruise standard, and configure the recovery deviation threshold based on the safe cruise standard;

[0065] Step S850: Determine whether the recovery deviation value meets the recovery deviation threshold. If it does not meet the threshold, output safety warning information. The simulated anti-shake image is additional output information.

[0066] Specifically, based on the safe cruise prediction model, the roll reduction prediction results are judged, and safety warning information is output to provide cruise safety warnings. In other words, the roll reduction prediction results are input into the safe cruise prediction model to determine whether the roll reduction effect meets the standard and whether it can support the take-off and landing of shipborne aircraft. Based on this, safety warning information is obtained. The safety warning information is used to provide safety warnings to cruise personnel and to assist in protecting the safety of cruise personnel and cruise ships.

[0067] Specifically, the roll reduction prediction results are input into the safe cruise prediction model to determine whether the roll reduction effect meets the standard and can support the take-off and landing of shipborne aircraft. Then, based on the ship's force parameters and roll reduction control mechanism, the required restoring torque of the roll reduction equipment is calculated. The required restoring torque refers to the restoring torque that allows the ship and shipborne UAVs to operate safely. The simulated restoring torque is compared with the required restoring torque to determine the deviation between the simulated and required restoring torques, thereby determining the restoring deviation value. The restoring deviation value is the deviation between the simulated and required restoring torques. Furthermore, the system matches safety cruise standards and configures recovery deviation thresholds based on these standards. Safety cruise standards differ across scenarios, so the system matches the current scenario to configure recovery deviation thresholds. In other words, different scenarios have different safety cruise standards, and consequently, different recovery deviation thresholds. The recovery deviation threshold refers to the allowable range of recovery torque deviation. The system then determines whether the recovery deviation value meets the threshold. If it does not, it indicates a safety hazard, and a safety warning is output. Simultaneously, simulated anti-roll images are output as additional information, achieving intelligent submarine cable cruise safety detection, improving warning accuracy, and ensuring the safety of cruise equipment and personnel.

[0068] In this embodiment, step S900 includes:

[0069] Step S910: Upon receiving the security warning information, determine the warning level;

[0070] Step S920: When the warning level is greater than or equal to the level threshold, generate risk explosion feedback;

[0071] Step S930: Send the risk blasting feedback to the monitoring and command center to generate a mandatory repatriation order and an emergency rescue plan;

[0072] Step S940: Based on the mandatory repatriation order, determine the repatriation route based on the real-time positioning of the target ship, wherein the emergency rescue plan is a backup implementation plan.

[0073] Specifically, upon receiving a safety warning, the system determines the warning level by setting a threshold and checking if the warning level is greater than or equal to the threshold. If the warning level is greater than or equal to the threshold, it indicates a high level of safety risk, and a risk blast feedback is generated. This risk blast feedback is sent to the monitoring and command center, which is responsible for the intelligent submarine cable patrol safety monitoring and warning. The monitoring and command center generates a mandatory repatriation order and an emergency rescue plan. The mandatory repatriation order is used to control the patrol vessel to return to port. The emergency rescue plan is a rescue plan determined based on the warning level, including the arrangement of rescue personnel and equipment. Based on the mandatory repatriation order, the real-time positioning of the target vessel, and the return location, a return route is set to determine the repatriation path. The emergency rescue plan is a backup plan, which is used to detect and execute landing anomalies during the patrol. If no landing anomalies occur during the patrol, the backup plan will not be activated, thus achieving timely safety warnings and ensuring the safety of the patrol vessel.

[0074] Based on the above analysis, this disclosure provides a method for intelligent cruise safety detection and early warning of submarine cables. In this embodiment, a cruise simulation model is established, cruise simulation is performed, and roll reduction prediction results are obtained. Then, the roll reduction prediction results are judged, and safety early warning information is obtained to provide cruise safety early warning, thereby achieving the technical effect of ensuring navigation accuracy and improving the timeliness and accuracy of cruise safety early warning.

[0075] Example 2

[0076] Based on the same inventive concept as the intelligent cruise safety detection and early warning method for submarine cables in the foregoing embodiments, such as Figure 2 As shown, this application also provides a submarine cable intelligent patrol safety detection and early warning system, the system comprising:

[0077] Cruise control list generation module 11 is used to determine various ship force parameters based on various ship operation scenarios and generate a cruise control list.

[0078] The 3D model generation module 12 is used to perform 3D modeling of the target ship and generate a target 3D model.

[0079] Cruise simulation module 13 is used to perform cruise simulation based on the cruise control list and, in conjunction with the target three-dimensional model, construct a cruise simulation model.

[0080] Cruise requirement determination module 14 is used to determine cruise requirements based on the inspection task, wherein the cruise requirements include cruise path, speed, and take-off and landing position.

[0081] Wave spectrum generation module 15, which is used to acquire real-time wave elements and real-time wind elements to generate a wave spectrum;

[0082] The roll reduction prediction module 16 is used to debug and analyze the cruise simulation model based on the cruise requirements, the cruise path, the speed, the take-off and landing position and the wave spectrum, and determine the roll reduction prediction result.

[0083] The safe cruise prediction model construction module 17 is used to configure multi-level safe cruise standards and construct a safe cruise prediction model.

[0084] The anti-slip prediction result determination module 18 is used to determine the anti-slip prediction result based on the safe cruise prediction model and output safety warning information to provide cruise safety warning.

[0085] Furthermore, the system also includes:

[0086] A patrol scene retrieval module is used to connect to the maritime surveillance system and retrieve various patrol scenes.

[0087] A scene element determination module is used to determine multiple sets of scene elements for the various cruise scenarios.

[0088] The force parameter analysis module is used to analyze multiple sets of ship force parameters based on multiple sets of scene elements.

[0089] A parameter sequence generation module is used to map and associate the various scenario factors with the multiple sets of ship force parameters to generate multiple sets of parameter sequences.

[0090] A multi-set parameter sequence integration module is used to integrate the multiple sets of parameter sequences to obtain the cruise control list.

[0091] Furthermore, the system also includes:

[0092] A component disassembly module is used to disassemble the target ship into components and identify multiple target components.

[0093] A component model building module is used to perform three-dimensional modeling of the multiple target components and determine multiple component models;

[0094] A model assembly module, which is used to assemble the multiple component models to form a target three-dimensional model;

[0095] The model optimization module is used to obtain the ship's operation mechanism and optimize the target 3D model based on the ship's operation mechanism.

[0096] Furthermore, the system also includes:

[0097] A dynamic simulation space construction module, which is used to construct a dynamic simulation space;

[0098] The scene simulation space determination module is used to embed the cruise control list into the dynamic simulation space, and perform trial training and storage based on the multiple sets of scene elements and the multiple sets of ship force parameters to determine the scene simulation space.

[0099] A cruise simulation model generation module is used to embed the target 3D model into the scene simulation space to generate the cruise simulation model.

[0100] Furthermore, the system also includes:

[0101] The force parameter analysis module is used to determine the ship's force parameters based on the cruise requirements and the wave spectrum.

[0102] A roll reduction control mechanism determination module is used to determine the roll reduction control mechanism for the roll reduction equipment of the target ship.

[0103] The roll reduction prediction result output module is used to output roll reduction prediction results based on the cruise simulation model, the ship's force parameters and the roll reduction control mechanism. The roll reduction prediction result table includes the simulation recovery torque and the simulation roll reduction image.

[0104] Furthermore, the system also includes:

[0105] A roll reduction prediction result input module is used to input the roll reduction prediction result into the safe cruise prediction model;

[0106] The required recovery torque calculation module is used to calculate the required recovery torque of the anti-roll device based on the ship's force parameters and the anti-roll control mechanism.

[0107] The recovery torque calibration module is used to calibrate the simulated recovery torque with the required recovery torque and determine the recovery deviation value.

[0108] A recovery deviation threshold configuration module is used to match the safe cruise standard and configure the recovery deviation threshold based on the safe cruise standard.

[0109] The recovery deviation value judgment module is used to determine whether the recovery deviation value meets the recovery deviation threshold. When it does not meet the threshold, it outputs a safety warning message. The simulated anti-shake image is an additional output message.

[0110] Furthermore, the system also includes:

[0111] A warning level determination module is used to determine the warning level upon receiving the security warning information.

[0112] A risk blasting feedback generation module is used to generate risk blasting feedback when the warning level is greater than or equal to the level threshold.

[0113] The command and rescue module is used to send the risk blasting feedback to the monitoring and command center and generate a forced repatriation order and an emergency rescue plan.

[0114] A repatriation route determination module is used to determine the repatriation route based on the mandatory repatriation order and the real-time positioning of the target ship, wherein the emergency rescue plan is a backup implementation plan.

[0115] The specific example of the intelligent submarine cable patrol safety detection and early warning method in Embodiment 1 described above is also applicable to the intelligent submarine cable patrol safety detection and early warning system of this embodiment. Through the foregoing detailed description of the intelligent submarine cable patrol safety detection and early warning method, those skilled in the art can clearly understand the intelligent submarine cable patrol safety detection and early warning system of this embodiment. Therefore, for the sake of brevity, it will not be described in detail here. As for the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant details can be found in the method section.

[0116] Example 3

[0117] Figure 3 This is a schematic diagram based on the third embodiment of the present disclosure, as shown below. Figure 3 As shown, the electronic device 800 in this disclosure may include a processor 801 and a memory 802.

[0118] Memory 802 is used to store programs. Memory 802 may include volatile memory, such as random-access memory (RAM), such as static random-access memory (SRAM), double data rate synchronous dynamic random-access memory (DDR SDRAM), etc.; memory may also include non-volatile memory, such as flash memory. Memory 802 is used to store computer programs (such as application programs, functional modules, etc. that implement the above methods), computer instructions, etc. The computer programs, computer instructions, etc., can be partitioned and stored in one or more memories 802. Furthermore, the computer programs, computer instructions, data, etc., can be accessed by processor 801.

[0119] The aforementioned computer programs and instructions can be stored in one or more partitions of memory 802. Furthermore, the aforementioned computer programs and instructions can be invoked by processor 801.

[0120] The processor 801 is configured to execute the computer program stored in the memory 802 to implement the various steps in the methods described in the above embodiments.

[0121] For details, please refer to the relevant descriptions in the preceding method embodiments.

[0122] The processor 801 and the memory 802 can be independent structures or integrated structures. When the processor 801 and the memory 802 are independent structures, the memory 802 and the processor 801 can be coupled together via bus 803.

[0123] The electronic device in this embodiment can execute the technical solution in the above method. Its specific implementation process and technical principle are the same, and will not be repeated here.

[0124] According to embodiments of this disclosure, this disclosure also provides an electronic device, a readable storage medium, and a computer program product.

[0125] According to embodiments of this disclosure, this disclosure also provides a computer program product comprising: a computer program stored in a readable storage medium, at least one processor of an electronic device being able to read the computer program from the readable storage medium, and the at least one processor executing the computer program causing the electronic device to perform the scheme provided in any of the above embodiments.

[0126] It should be understood that the various forms of processes shown above can be used to reorder, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders.

[0127] This document does not impose any restrictions as long as the desired results of the disclosed technical solution can be achieved.

[0128] The specific embodiments described above do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A method for intelligent patrol safety detection and early warning of submarine cables, characterized in that, The method includes: Based on various ship operation scenarios, various ship force parameters are determined, and a cruise control list is generated. Create a 3D model of the target ship to generate a three-dimensional model of the target; Cruise simulation is performed based on the cruise control list, and a cruise simulation model is constructed by combining the target 3D model. Based on the inspection mission, the cruise requirements are determined, including the cruise route, speed, and take-off and landing positions. Acquire real-time wave and wind parameters to generate a wave spectrum; Based on the cruise requirements, the cruise simulation model is debugged and analyzed according to the cruise path, the speed, the take-off and landing position and the wave spectrum to determine the roll reduction prediction results; Configure multi-level safety cruise standards and build a safety cruise prediction model; Based on the aforementioned safe cruise prediction model, the anti-roll prediction results are determined, and safe warning information is output to provide cruise safety warnings. The process of debugging and analyzing the cruise simulation model based on the cruise requirements and the wave spectrum to determine the roll reduction prediction results includes: Based on the cruise requirements and the wave spectrum, the ship force parameters of the target ship are determined; For the anti-roll equipment of the target ship, determine the anti-roll control mechanism; Based on the cruise simulation model, and according to the ship's force parameters and the roll reduction control mechanism, roll reduction prediction results are output. The roll reduction prediction result table includes the simulation recovery torque and the simulation roll reduction image. The step of determining the anti-roll prediction result based on the safe cruise prediction model and outputting safety warning information for cruise safety warning includes: The anti-roll prediction results are input into the safe cruise prediction model; Based on the ship's force parameters and the roll reduction control mechanism, calculate the required restoring torque of the roll reduction equipment; The simulated restoring torque is compared with the required restoring torque to determine the restoring deviation value; Match the safe cruise standard, and configure the recovery deviation threshold based on the safe cruise standard; Determine whether the recovery deviation value meets the recovery deviation threshold. If it does not meet the threshold, output a safety warning message. The simulated anti-shake image is additional output information.

2. The method as described in claim 1, characterized in that, The process involves determining various ship force parameters based on multiple ship operation scenarios and generating a cruise control list, including: Connect to the maritime surveillance system and retrieve various patrol scenarios; For the various cruise scenarios, multiple sets of scenario elements are determined; Based on multiple sets of scenario elements, we analyze multiple sets of ship force parameters. The various scene elements are mapped and associated with the multiple sets of ship force parameters to generate multiple sets of parameter sequences; By integrating the multiple sets of parameter sequences, the cruise control list is obtained.

3. The method as described in claim 1, characterized in that, The process of 3D modeling the target ship and generating a three-dimensional model of the target includes: The target ship was disassembled to identify multiple target components; Perform 3D modeling on the multiple target components to determine multiple component models; The multiple component models are assembled to form the target three-dimensional model; Obtain the ship's operational mechanism, and optimize the target 3D model based on the ship's operational mechanism.

4. The method as described in claim 2, characterized in that, The process of performing cruise simulation based on the cruise control list, and constructing a cruise simulation model in conjunction with the target 3D model, includes: Constructing a dynamic, realistic space; The cruise control list is embedded into the dynamic simulation space, and the scene simulation space is determined by testing and storing the multiple sets of scene elements and the multiple sets of ship force parameters. The target 3D model is embedded into the scene simulation space to generate the cruise simulation model.

5. The method as described in claim 1, characterized in that, include: Upon receiving the security warning information, a warning level is determined. When the warning level is greater than or equal to the level threshold, a risk blasting feedback is generated; The risk blasting feedback is sent to the monitoring and command center to generate a mandatory repatriation order and an emergency rescue plan. Based on the mandatory repatriation order, the repatriation route is determined based on the real-time positioning of the target ship, wherein the emergency rescue plan is a backup implementation plan.

6. A submarine cable intelligent patrol safety detection and early warning system, characterized in that, The system includes: A cruise control list generation module is used to determine various ship force parameters based on multiple ship operation scenarios and generate a cruise control list. A 3D model generation module is used to perform 3D modeling of the target ship and generate a 3D model of the target. The cruise simulation module is used to perform cruise simulation based on the cruise control list and, in conjunction with the target 3D model, construct a cruise simulation model. A cruise requirement determination module is used to determine cruise requirements based on the inspection task, wherein the cruise requirements include cruise path, speed, and take-off and landing positions. The wave spectrum generation module is used to acquire real-time wave elements and real-time wind elements to generate a wave spectrum. The roll reduction prediction module is used to debug and analyze the cruise simulation model based on the cruise requirements, the cruise path, the speed, the take-off and landing position and the wave spectrum, and determine the roll reduction prediction result. A safe cruise prediction model construction module is used to configure multi-level safe cruise standards and construct a safe cruise prediction model. The anti-slip prediction result determination module is used to determine the anti-slip prediction result based on the safe cruise prediction model and output safety warning information to provide cruise safety warning. The system also includes: The force parameter analysis module is used to determine the ship's force parameters based on the cruise requirements and the wave spectrum. A roll reduction control mechanism determination module is used to determine the roll reduction control mechanism for the roll reduction equipment of the target ship. The roll reduction prediction result output module is used to output roll reduction prediction results based on the cruise simulation model, the ship force parameters and the roll reduction control mechanism. The roll reduction prediction result table includes simulation recovery torque and simulation roll reduction image. A roll reduction prediction result input module is used to input the roll reduction prediction result into the safe cruise prediction model; The required recovery torque calculation module is used to calculate the required recovery torque of the anti-roll device based on the ship's force parameters and the anti-roll control mechanism. The recovery torque calibration module is used to calibrate the simulated recovery torque with the required recovery torque and determine the recovery deviation value. A recovery deviation threshold configuration module is used to match the safe cruise standard and configure the recovery deviation threshold based on the safe cruise standard. The recovery deviation value judgment module is used to determine whether the recovery deviation value meets the recovery deviation threshold. When it does not meet the threshold, it outputs a safety warning message. The simulated anti-shake image is an additional output message.

7. An electronic device, characterized in that, include: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-5.

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