A ship navigation route optimization method and system based on cloud computing

Abstract

The present invention relates to the field of cloud computing, and discloses a method and system for optimizing ship navigation routes based on cloud computing, comprising the following steps: constructing a three-dimensional image of a target sea area before the ship sails, performing a feasibility analysis on the ship based on the three-dimensional image of the target sea area, generating a class I ship route, and analyzing the water temperature of the sea area on the class I ship route, and obtaining the ship's target route based on the analysis result. The ship is controlled to sail along the ship's target route, and if the ship deviates during the navigation process, the deviation is traced and the route is optimized. Finally, the ship's target route is adjusted based on the traffic conditions of the sea area where the ship is located. The present invention can plan the ship's route by analyzing various data of the ocean, and optimize the deviation of the ship during the ship's navigation, so as to ensure the safety of the ship's navigation and prevent damage, and maintain the ship sailing along the ship's target route.

Description

Technical Field

[0001] The present invention relates to the field of cloud computing, and in particular to a method and system for optimizing a ship's navigation route based on cloud computing. Background Art

[0002] During the voyage, the ship's route may be deviated due to the wind and waves at sea, changes in ocean currents, failures in ship machinery and equipment, etc. When the ship's route is deviated, in narrow waterways or areas with high traffic density, the deviation of the ship's route may cause ship traffic congestion, increase the risk of conflict and collision between ships, and pose a threat to the safety of ships and crew members; if the ship is carrying cargo, the deviation of the ship's route may cause delays in cargo delivery, which will have a negative impact on ship operations and cargo supply chains; at the same time, the deviation of the route may lead to longer voyages, greater fuel consumption and longer sailing time, thereby reducing the economy and efficiency of navigation. In order to keep the ship on the corresponding route, various optimization methods for ship routes can be obtained through cloud computing, so that the ship can continuously adjust the route during navigation to maximize safety, efficiency and economy. Summary of the invention

[0003] The present invention overcomes the deficiencies of the prior art and provides a method and system for optimizing ship navigation routes based on cloud computing.

[0004] In order to achieve the above object, the technical solution adopted by the present invention is:

[0005] A first aspect of the present invention provides a method for optimizing a ship's navigation route based on cloud computing, comprising the following steps:

[0006] Acquire ocean data, construct a three-dimensional image of a target sea area based on the ocean data, perform navigation feasibility analysis on the three-dimensional image of the target sea area, and generate a first-class ship route;

[0007] The water temperature on the first-class ship route is monitored in real time during the ship's voyage, and the ship's route is optimized based on the real-time monitoring results of the water temperature;

[0008] Monitor the ship's navigation position in real time during the voyage, trace the cause of the deviation and optimize the route for ships that deviate from the target route;

[0009] Analyze the traffic conditions in the sea area where the ship is located during the voyage, obtain traffic condition analysis results, and adjust the ship's target route based on the traffic condition analysis results.

[0010] Furthermore, in a preferred embodiment of the present invention, the acquisition of ocean data, the construction of a three-dimensional image of a target sea area based on the ocean data, the navigation feasibility analysis of the three-dimensional image of the target sea area, and the generation of a ship class I route are specifically as follows:

[0011] Define the sea area where the ship is going to sail as the target sea area, and use meteorological software to obtain the wind direction and speed at each point in the target sea area;

[0012] Based on the wind direction and wind speed at each point in the target sea area, calculate the ocean current state at each point in the target sea area, the ocean current state includes the ocean current direction and the ocean current intensity, and at the same time obtain the water depth data of each point in the target sea area based on historical data retrieval;

[0013] Combining the ocean current state and water depth data in the target sea area to generate ocean data of the target sea area, and constructing a three-dimensional image of the target sea area in a three-dimensional simulation software based on the ocean data of the target sea area;

[0014] Based on historical data retrieval, the dangerous ocean current status is obtained, the Euclidean distance between the dangerous ocean current status and the ocean current status of each point in the target sea area is calculated, and the similarity between the dangerous ocean current status and the ocean current status of each point in the target sea area is obtained based on the Euclidean distance;

[0015] If the similarity between the ocean current state of a point in the target sea area and the dangerous ocean current state is greater than a preset value, the corresponding point in the target sea area is defined as an abnormal ocean current state point, and all the abnormal ocean current state points are combined in the three-dimensional image of the target sea area to obtain an abnormal ocean current state sea area;

[0016] Obtaining the specifications of the ship, obtaining the maximum displacement of the ship based on the specifications of the ship, and calculating the minimum water depth data required for the ship to sail based on the maximum displacement of the ship, which is defined as the minimum water depth data for the ship to sail;

[0017] In the three-dimensional image of the target sea area, points whose water depth data is less than the minimum water depth data for ship navigation are defined as water depth data abnormal points, and all water depth data abnormal points are combined to obtain a water depth data abnormal sea area;

[0018] Based on big data retrieval, all ship routes are obtained, and all ship routes are analyzed in the three-dimensional image of the target sea area. Ship routes that do not pass through sea areas with abnormal ocean current conditions or abnormal water depth data are defined as appropriate ship routes;

[0019] The route length of suitable ship routes is analyzed, and the suitable ship route with the shortest route length is defined as a class I ship route.

[0020] Furthermore, in a preferred embodiment of the present invention, the water temperature on a class I ship route is monitored in real time during the ship's travel, and the ship's route is optimized based on the real-time monitoring result of the water temperature, specifically:

[0021] The real-time water temperature of all sea areas along the Class I ship route is obtained according to the meteorological software, and the real-time water temperature of all sea areas along the Class I ship route is imported into the three-dimensional image of the target sea area for optimization to obtain the optimized three-dimensional image of the target sea area;

[0022] A dangerous water temperature threshold is preset. If the real-time water temperature of all sea areas that the ship's Class I route passes through is not within the dangerous water temperature threshold, the ship is controlled to continue sailing along the Class I route to the destination;

[0023] If the real-time water temperature of the sea area where the ship class I route passes is within the dangerous water temperature threshold, then in the optimized three-dimensional image of the target sea area, the sea area with the real-time water temperature within the dangerous water temperature threshold is defined as a dangerous water temperature sea area;

[0024] Determine the area of ​​the dangerous water temperature sea area. If the area of ​​the dangerous water temperature sea area is greater than the preset value, analyze other suitable ship routes, define the suitable ship route that does not pass through the dangerous water temperature sea area and has the shortest route length as the second-category ship route among other suitable ship routes, and control the ship to sail along the second-category ship route;

[0025] If the area of ​​the dangerous water temperature sea area is smaller than the preset value, the three-dimensional image of the target sea area is optimized to determine whether the sea area adjacent to the dangerous water temperature sea area is an area with abnormal ocean current state or abnormal water depth data;

[0026] If so, the ship is controlled to sail along the second category ship route;

[0027] If not, the ship is controlled to sail along the Class I ship route, and the ship is controlled to make a detour before entering the sea area with dangerous water temperatures, so that the ship does not enter the sea area with dangerous water temperatures, and continues to sail along the Class I ship route to the destination after the detour.

[0028] Furthermore, in a preferred embodiment of the present invention, the navigation position of the ship is monitored in real time during the navigation process, and the cause of the deviation of the ship that deviates from the target route of the ship is traced and the route is optimized, specifically:

[0029] The first-class ship route and the second-class ship route are collectively referred to as the ship target route, and a ship positioning system is obtained on the ship. When the ship sails along the ship target route, the real-time navigation position of the ship is obtained based on the ship positioning system;

[0030] Based on the ship's target route, the standard navigation range of the ship is obtained. If the ship's real-time navigation position is not within the ship's standard navigation range, the original ocean current state at the ship's real-time navigation position in the target sea area three-dimensional image is defined as a type of ocean current state;

[0031] Obtain the ship's surrounding meteorological data, and calculate the real-time ocean current state at the ship's real-time navigation position based on the ship's surrounding meteorological data, which is defined as a Class II ocean current state;

[0032] Calculate the similarity between the first-class ocean current state and the second-class ocean current state. If the similarity between the first-class ocean current state and the second-class ocean current state is less than a preset value, calculate the similarity between the second-class ocean current state and the dangerous ocean current state.

[0033] A current state monitoring time is preset. During the current state monitoring time, if the similarity between the Class II current state and the dangerous current state is less than a preset value, a ship heading optimization scheme is calculated in the big data cloud based on the Class II current state and outputted. The ship heading optimization scheme optimizes the ship's heading so that the ship's real-time navigation position remains within the standard navigation range of the ship.

[0034] During the ocean current state monitoring time, if the similarity between the Category II ocean current state and the dangerous ocean current state is greater than a preset value, the ship is controlled to stop sailing, and the change of the Category II ocean current state is monitored in real time. When the similarity between the Category II ocean current state and the dangerous ocean current state is less than a preset value, the ship is controlled to resume sailing and optimize the ship's heading so that the ship's real-time navigation position remains within the standard navigation range of the ship;

[0035] If the similarity between the Class I ocean current state and the Class II ocean current state is greater than a preset value, a defect analysis and tracing of the steering gear is performed on the ship, and the steering gear is optimized based on the defect analysis and tracing results to keep the ship's real-time navigation position within the ship's standard navigation range.

[0036] Furthermore, in a preferred embodiment of the present invention, the defect analysis and tracing of the steering gear on the ship is performed, and the steering gear is optimized according to the defect analysis and tracing results, so that the real-time navigation position of the ship is maintained within the standard navigation range of the ship, specifically:

[0037] If the similarity between the first-class ocean current state and the second-class ocean current state is greater than the preset value, the real-time working parameters of the steering gear are obtained, and it is determined whether the real-time working parameters of the steering gear meet the preset conditions. If so, the steering gear is directly optimized for the ship's heading so that the real-time navigation position of the ship remains within the standard navigation range of the ship;

[0038] If not, the real-time operating temperature of the servo is obtained. If the real-time operating temperature of the servo is not within the preset range, the servo operating temperature optimization scheme is calculated and output in the big data cloud based on the real-time operating parameters of the servo, so that the real-time operating temperature of the servo is maintained within the preset range;

[0039] When the real-time working temperature of the servo is maintained within the preset range, if the working parameters of the servo still do not meet the preset conditions, the Bayesian network is introduced to analyze the working parameters of the servo to obtain the defective parts of the servo;

[0040] A three-dimensional model of the defective part of the steering gear is constructed in the three-dimensional software, which is defined as the defective part model of the steering gear. Based on the defective part model of the steering gear, it is analyzed whether the surface of the defective part of the steering gear is damaged. If so, the ship is controlled to stop sailing, the steering gear is turned off, and a surface repair plan for the defective part of the steering gear is calculated and output in the big data cloud, so that the surface of the defective part of the steering gear is not damaged;

[0041] If there is no damage on the surface of the defective part of the servo, and the working parameters of the servo still do not meet the preset conditions, the servo drive circuit is obtained, and the node current analysis of the servo drive circuit is performed to obtain the current value of each node on the servo drive circuit;

[0042] Analyze the current value of each node on the steering gear drive circuit, define the node whose current value is not within the preset range as a current abnormal node, and define the electronic component where the current abnormal node is located as an abnormal electronic component, and replace the abnormal electronic component;

[0043] If abnormal current nodes still exist after the abnormal electronic components are replaced, the circuit layout optimization method and circuit structure optimization method of the steering gear drive circuit are obtained and output based on big data cloud computing, so that the working parameters of the steering gear meet the preset conditions, and the steering gear is optimized for the ship's heading, so that the ship's real-time navigation position remains within the standard navigation range of the ship.

[0044] Furthermore, in a preferred embodiment of the present invention, the traffic conditions of the sea area where the ship is located during the navigation of the ship are analyzed to obtain the traffic condition analysis results, and the target route of the ship is adjusted based on the traffic condition analysis results, specifically:

[0045] Obtaining an electronic nautical chart on board the ship, and obtaining traffic conditions around the ship based on the electronic nautical chart, wherein the traffic conditions around the ship include the positions and identities of other ships in the surrounding area;

[0046] Based on the positions of other ships in the vicinity, the relative distance between other ships in the vicinity is calculated. If the relative distance between other ships in the vicinity is greater than a preset value, the ship is controlled to continue sailing along the target route of the ship.

[0047] If the relative distance between other ships in the vicinity and the ship is less than a preset value, the ship identity knowledge graph is retrieved in the big data cloud, in which the navigation priority of ships with different identities in different navigation scenarios is recorded, and the navigation scenario corresponding to the real-time navigation position of the ship is obtained based on the electronic nautical chart;

[0048] The navigation scene corresponding to the real-time navigation position of the ship and the identities of other surrounding ships are imported into the ship identity knowledge graph for comparison, and the navigation priority of the ship and the navigation priority of other surrounding ships are obtained;

[0049] If the navigation priority of the ship is lower than that of other surrounding ships, the ship will be controlled to stop sailing. When the relative distance between other surrounding ships and the propagation is greater than the preset value, the ship will be controlled to resume sailing.

[0050] If the navigation priority of the ship is greater than the navigation priority of other surrounding ships, the radio frequency bands of other surrounding ships are obtained, and based on the radio frequency bands of other surrounding ships, radio communications are performed with other surrounding ships to remind other surrounding ships to give way.

[0051] The second aspect of the present invention further provides a ship navigation route optimization system based on cloud computing, the ship navigation route optimization system comprising a memory and a processor, the memory storing a ship navigation route optimization method, and when the ship navigation route optimization method is executed by the processor, the following steps are implemented:

[0052] Acquire ocean data, construct a three-dimensional image of a target sea area based on the ocean data, perform navigation feasibility analysis on the three-dimensional image of the target sea area, and generate a first-class ship route;

[0053] The water temperature on the first-class ship route is monitored in real time during the ship's voyage, and the ship's route is optimized based on the real-time monitoring results of the water temperature;

[0054] Monitor the ship's navigation position in real time during the voyage, trace the cause of the deviation and optimize the route for ships that deviate from the target route;

[0055] Analyze the traffic conditions in the sea area where the ship is located during the voyage, obtain traffic condition analysis results, and adjust the ship's target route based on the traffic condition analysis results.

[0056] The present invention solves the technical defects existing in the background technology, and the present invention has the following beneficial effects: constructing a three-dimensional image of the target sea area before the ship sails, performing a feasibility analysis on the ship based on the three-dimensional image of the target sea area, generating a Class I ship route, and analyzing the water temperature of the sea area on the Class I ship route, and obtaining the ship's target route based on the analysis results. The ship is controlled to sail along the ship's target route. If the ship deviates during the navigation process, the deviation is traced and the route is optimized. Finally, the ship's target route is adjusted based on the traffic conditions of the sea area where the ship is located. The present invention can plan the ship's route by analyzing various data on the ocean, and optimize the deviation of the ship during the navigation process, to ensure the safety of the ship's navigation and to ensure that the ship is not damaged, and to maintain the ship sailing along the ship's target route. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, drawings of other embodiments can be obtained based on these drawings without paying creative work.

[0058] Figure 1 A flow chart of a ship navigation route optimization method based on cloud computing is shown;

[0059] Figure 2 A flow chart of a method for tracing the cause of a ship's route deviation and optimizing the route based on the ship's real-time navigation position is shown;

[0060] Figure 3 A program view of a ship navigation route optimization system based on cloud computing is shown. DETAILED DESCRIPTION

[0061] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0062] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0063] Figure 1 A flow chart of a ship navigation route optimization method based on cloud computing is shown, comprising the following steps:

[0064] S102: Acquire ocean data, construct a three-dimensional image of the target sea area based on the ocean data, perform navigation feasibility analysis on the three-dimensional image of the target sea area, and generate a Class I ship route;

[0065] S104: monitoring the water temperature on the first-class ship route in real time during the ship's voyage, and optimizing the ship's route based on the real-time monitoring result of the water temperature;

[0066] S106: monitoring the navigation position of the ship in real time during the navigation process, and tracing the cause of the deviation of the ship from the target route and optimizing the route;

[0067] S108: Analyze the traffic conditions of the sea area where the ship is located during the navigation process of the ship, obtain the traffic condition analysis result, and adjust the ship's target route based on the traffic condition analysis result.

[0068] Furthermore, in a preferred embodiment of the present invention, the acquisition of ocean data, the construction of a three-dimensional image of a target sea area based on the ocean data, the navigation feasibility analysis of the three-dimensional image of the target sea area, and the generation of a ship class I route are specifically as follows:

[0069] Define the sea area where the ship is going to sail as the target sea area, and use meteorological software to obtain the wind direction and speed at each point in the target sea area;

[0070] Based on the wind direction and wind speed at each point in the target sea area, calculate the ocean current state at each point in the target sea area, the ocean current state includes the ocean current direction and the ocean current intensity, and at the same time obtain the water depth data of each point in the target sea area based on historical data retrieval;

[0071] Combining the ocean current state and water depth data in the target sea area to generate ocean data of the target sea area, and constructing a three-dimensional image of the target sea area in a three-dimensional simulation software based on the ocean data of the target sea area;

[0072] Based on historical data retrieval, the dangerous ocean current status is obtained, the Euclidean distance between the dangerous ocean current status and the ocean current status of each point in the target sea area is calculated, and the similarity between the dangerous ocean current status and the ocean current status of each point in the target sea area is obtained based on the Euclidean distance;

[0073] If the similarity between the ocean current state of a point in the target sea area and the dangerous ocean current state is greater than a preset value, the corresponding point in the target sea area is defined as an abnormal ocean current state point, and all the abnormal ocean current state points are combined in the three-dimensional image of the target sea area to obtain an abnormal ocean current state sea area;

[0074] Obtaining the specifications of the ship, obtaining the maximum displacement of the ship based on the specifications of the ship, and calculating the minimum water depth data required for the ship to sail based on the maximum displacement of the ship, which is defined as the minimum water depth data for the ship to sail;

[0075] In the three-dimensional image of the target sea area, points whose water depth data is less than the minimum water depth data for ship navigation are defined as water depth data abnormal points, and all water depth data abnormal points are combined to obtain a water depth data abnormal sea area;

[0076] Based on big data retrieval, all ship routes are obtained, and all ship routes are analyzed in the three-dimensional image of the target sea area. Ship routes that do not pass through sea areas with abnormal ocean current conditions or abnormal water depth data are defined as appropriate ship routes;

[0077] The route length of suitable ship routes is analyzed, and the suitable ship route with the shortest route length is defined as a class I ship route.

[0078] It should be noted that the sea breeze on the sea area may be strong, and when the sea breeze is strong, it will affect the flow state of the seawater, that is, the ocean current state. The direction and intensity of the ocean current state are changed after being affected by the sea breeze, which is not conducive to the navigation of the ship, and may even cause great damage during the navigation of the ship. The three-dimensional image of the target sea area is an image model that can clearly judge the ocean current state and water depth data in the sea area, and has the advantage of intuitive analysis. Calculating the Euclidean distance between the dangerous ocean current state and the ocean current state of each point in the target sea area can determine whether the ocean current state of the point in the target sea area is a dangerous ocean current state, and combining all the abnormal points of the ocean current state to obtain the abnormal ocean current state sea area. And the ship needs to sail on the sea surface with a deep enough depth, otherwise the ship with a large displacement may be stranded in the shallow water area. Therefore, the water depth data is analyzed, and the water depth data abnormal sea area can be obtained in combination with the displacement of the ship. In order to ensure the safety of the ship during the navigation process, it is necessary to ensure that the ship does not pass through the abnormal ocean current state and the abnormal water depth data sea area when planning the ship route, so as to obtain a suitable ship route. At the same time, in order to increase revenue, it is necessary to select a suitable ship route with the shortest route length as the route for ship navigation, which is defined as a ship type 1 route. The present invention can obtain a ship type 1 route by analyzing the ocean current state and water depth data on the target sea area.

[0079] Furthermore, in a preferred embodiment of the present invention, the water temperature on a class I ship route is monitored in real time during the ship's travel, and the ship's route is optimized based on the real-time monitoring result of the water temperature, specifically:

[0080] The real-time water temperature of all sea areas along the Class I ship route is obtained according to the meteorological software, and the real-time water temperature of all sea areas along the Class I ship route is imported into the three-dimensional image of the target sea area for optimization to obtain the optimized three-dimensional image of the target sea area;

[0081] A dangerous water temperature threshold is preset. If the real-time water temperature of all sea areas that the ship's Class I route passes through is not within the dangerous water temperature threshold, the ship is controlled to continue sailing along the Class I route to the destination;

[0082] If the real-time water temperature of the sea area where the ship class I route passes is within the dangerous water temperature threshold, then in the optimized three-dimensional image of the target sea area, the sea area with the real-time water temperature within the dangerous water temperature threshold is defined as a dangerous water temperature sea area;

[0083] Determine the area of ​​the dangerous water temperature sea area. If the area of ​​the dangerous water temperature sea area is greater than the preset value, analyze other suitable ship routes, define the suitable ship route that does not pass through the dangerous water temperature sea area and has the shortest route length as the second-category ship route among other suitable ship routes, and control the ship to sail along the second-category ship route;

[0084] If the area of ​​the dangerous water temperature sea area is smaller than the preset value, the three-dimensional image of the target sea area is optimized to determine whether the sea area adjacent to the dangerous water temperature sea area is an area with abnormal ocean current state or abnormal water depth data;

[0085] If so, the ship is controlled to sail along the second category ship route;

[0086] If not, the ship is controlled to sail along the Class I ship route, and the ship is controlled to make a detour before entering the sea area with dangerous water temperatures, so that the ship does not enter the sea area with dangerous water temperatures, and continues to sail along the Class I ship route to the destination after the detour.

[0087] It should be noted that if the water temperature is too low during the voyage of the ship, it may cause damage to the components of the ship, such as causing low temperature icing of the ship's pipes, engines and other components, affecting the normal navigation of the ship, and even causing damage to people and objects on the ship. Therefore, it is necessary to analyze the water temperature of all sea areas on the Class I ship route before the ship sails, preset dangerous water temperatures, and determine the sea areas with dangerous water temperatures on the Class I ship route as dangerous water temperature sea areas. If the Class I ship route does not pass through the dangerous water temperature sea area, the ship will directly sail according to the Class I ship route. If the Class I ship route passes through the dangerous water temperature sea area, it is necessary to optimize the Class I ship route. First, analyze the area. If the area of ​​the dangerous water temperature sea area is large, the method of controlling the ship to detour the dangerous water temperature sea area will increase the arrival time of the ship and the fuel consumed, which is not in line with economic benefits. Therefore, it is necessary to reselect the appropriate ship route so that the appropriate ship route does not pass through the dangerous water temperature sea area, that is, the Class II ship route. If the area of ​​the dangerous water temperature sea area is small, the target sea area can be optimized by three-dimensional image analysis to see whether the surrounding sea area of ​​the dangerous water temperature sea area is an abnormal current state sea area or an abnormal water depth data sea area. If so, the ship is likely to be endangered when sailing along the Class I ship route and needs to sail along the Class II ship route. If not, the ship can bypass the dangerous water temperature sea area and continue to sail along the Class I ship route.

[0088] Furthermore, in a preferred embodiment of the present invention, the traffic conditions of the sea area where the ship is located during the navigation of the ship are analyzed to obtain the traffic condition analysis results, and the target route of the ship is adjusted based on the traffic condition analysis results, specifically:

[0089] Obtaining an electronic nautical chart on board the ship, and obtaining traffic conditions around the ship based on the electronic nautical chart, wherein the traffic conditions around the ship include the positions and identities of other ships in the surrounding area;

[0090] Based on the positions of other ships in the vicinity, the relative distance between other ships in the vicinity is calculated. If the relative distance between other ships in the vicinity is greater than a preset value, the ship is controlled to continue sailing along the target route of the ship.

[0091] If the relative distance between other ships in the vicinity and the ship is less than a preset value, the ship identity knowledge graph is retrieved in the big data cloud, in which the navigation priority of ships with different identities under different navigation scenarios is recorded, and the navigation scenario corresponding to the real-time navigation position of the ship is obtained based on the electronic nautical chart;

[0092] The navigation scene corresponding to the real-time navigation position of the ship and the identities of other surrounding ships are imported into the ship identity knowledge graph for comparison, and the navigation priority of the ship and the navigation priority of other surrounding ships are obtained;

[0093] If the navigation priority of the ship is lower than that of other surrounding ships, the ship will be controlled to stop sailing. When the relative distance between other surrounding ships and the propagation is greater than the preset value, the ship will be controlled to resume sailing.

[0094] If the navigation priority of the ship is greater than the navigation priority of other surrounding ships, the radio frequency bands of other surrounding ships are obtained, and based on the radio frequency bands of other surrounding ships, radio communications are performed with other surrounding ships to remind other surrounding ships to give way.

[0095] It should be noted that if other ships appear around a ship during navigation, there is a risk of collision, resulting in damage to the ship. All ships will input the ship's information into the electronic nautical chart before sailing, so the electronic nautical chart can know the real-time position and identity information of all ships. The other surrounding ships may include official ships, such as police ships, etc.; they may also be other commercial ships. If the distance between other surrounding ships and the ship is large, there is no need to worry that other surrounding ships will affect the ship. If the distance is small, it is necessary to judge the identity of other surrounding ships. Different identities have different navigation status. The navigation priority of ships with different identities in different navigation scenarios is different. For example, if an accident occurs, it is necessary to give priority to the navigation of ships that are undergoing rescue, while for some commercial ships, it is necessary to navigate according to the rules of first come first served, first large and then small. After constructing the ship identity knowledge graph, the current navigation scene around the ship can also be obtained according to the electronic nautical chart, so as to determine the navigation priority of other surrounding ships. If the priority of the ship is lower, it needs to give way to other ships in the surrounding area first; if the priority of the ship is higher, it communicates with other ships in the surrounding area through the radio frequency band unique to other ships in the surrounding area, and reminds other ships in the surrounding area to give way. The present invention can analyze the position and identity of other ships in the surrounding area, and adjust the target route of the ship based on the analysis results.

[0096] Figure 2 A flow chart of a method for tracing the cause of a ship's route deviation and optimizing the route based on the ship's real-time navigation position is shown, comprising the following steps:

[0097] S202: analyzing the ocean current state at the real-time navigation position of the ship, and optimizing the ship's course based on the analysis result of the ocean current state;

[0098] S204: performing a working temperature analysis on the steering gear on the ship, and controlling the working temperature of the steering gear to be maintained within a preset range based on the working temperature analysis result;

[0099] S206: Analyze the working parameters of the steering gear, and perform defect repair processing on the steering gear based on the working parameter analysis results.

[0100] Furthermore, in a preferred embodiment of the present invention, the ocean current state at the real-time navigation position of the ship is analyzed, and the ship performs ship heading optimization processing based on the ocean current state analysis result, specifically:

[0101] The first-class ship route and the second-class ship route are collectively referred to as the ship target route, and a ship positioning system is obtained on the ship. When the ship sails along the ship target route, the real-time navigation position of the ship is obtained based on the ship positioning system;

[0102] Based on the ship's target route, the standard navigation range of the ship is obtained. If the ship's real-time navigation position is not within the ship's standard navigation range, the original ocean current state at the ship's real-time navigation position in the target sea area three-dimensional image is defined as a type of ocean current state;

[0103] Obtain the ship's surrounding meteorological data, and calculate the real-time ocean current state at the ship's real-time navigation position based on the ship's surrounding meteorological data, which is defined as a Class II ocean current state;

[0104] Calculate the similarity between the first-class ocean current state and the second-class ocean current state. If the similarity between the first-class ocean current state and the second-class ocean current state is less than a preset value, calculate the similarity between the second-class ocean current state and the dangerous ocean current state.

[0105] A current state monitoring time is preset. During the current state monitoring time, if the similarity between the Class II current state and the dangerous current state is less than a preset value, the ship heading optimization scheme is calculated and output in the big data cloud based on the Class II current state, and the ship heading optimization scheme is used to optimize the ship heading so that the real-time navigation position of the ship is maintained within the standard navigation range of the ship.

[0106] During the ocean current status monitoring time, if the similarity between the Category II ocean current status and the dangerous ocean current status is greater than a preset value, the ship is controlled to stop sailing and the changes in the Category II ocean current status are monitored in real time. When the similarity between the Category II ocean current status and the dangerous ocean current status is less than a preset value, the ship is controlled to resume sailing and the ship's heading is optimized to keep the ship's real-time navigation position within the standard navigation range of the ship.

[0107] It should be noted that during the voyage, due to various factors, such as ocean current factors, problems with human control, and mechanical failures of ships, the ship may deviate from the scheduled route. In order to ensure that the ship always maintains the scheduled route, it is necessary to analyze the reasons for the deviation and optimize the ship's route. After the ship sails according to the ship's target route, the ocean current state may change at any time due to uncertain weather changes. After obtaining the first and second ocean current states, if the similarity between the first and second ocean current states is low, it proves that the reason for the ship's deviation from the route may be the change in the ocean current state. After the ocean current state changes, if the ocean current state becomes a dangerous ocean current state, the ship's continued sailing may cause danger to the ship. Therefore, different countermeasures are taken for different ocean current states. If the similarity between the second ocean current state and the dangerous ocean current state is less than the preset value, it proves that the ship can continue to sail, then cloud computing is directly performed in the big data cloud to obtain the ship's heading optimization plan, which is used to optimize the ship's heading so that the ship's real-time navigation position remains within the standard navigation range of the ship. If the similarity between the Class II current state and the dangerous current state is greater than the preset value, the ship cannot continue to sail and needs to monitor the changes in the Class II current state in real time. If the similarity between the Class II current state and the dangerous current state is less than the preset value during the current state monitoring time, it proves that the current state has returned to stability, and the ship's route can be optimized.

[0108] Further, in a preferred embodiment of the present invention, the ocean current state at the real-time navigation position of the ship is analyzed, and the ship performs ship heading optimization processing based on the ocean current state analysis result, specifically:

[0109] If the similarity between the first-class ocean current state and the second-class ocean current state is greater than the preset value, the real-time working parameters of the steering gear are obtained, and it is determined whether the real-time working parameters of the steering gear meet the preset conditions. If so, the steering gear is directly optimized for the ship's heading so that the real-time navigation position of the ship remains within the standard navigation range of the ship;

[0110] If not, the real-time operating temperature of the servo is obtained. If the real-time operating temperature of the servo is not within the preset range, the servo operating temperature optimization plan is calculated and output in the big data cloud based on the real-time operating parameters of the servo, so that the real-time operating temperature of the servo is maintained within the preset range.

[0111] It should be noted that if the similarity between the first and second ocean current states is greater than the preset value, it proves that the ocean current state has not changed much, and that the reason for the deviation of the ship's route has nothing to do with the ocean current state. The steering gear is the part that changes the direction of the ship's navigation during the navigation process. It is located at the stern. The direction and angle of the steering gear directly affect the ship's steering ability. If there are defects in the steering gear, it will directly affect the ship's heading. If the operating temperature of the steering gear is high, the steering gear may not work properly, the output power will be reduced, and the steering ability will be reduced, resulting in a large degree of deviation of the target ship. Therefore, it is necessary to use big data cloud for cloud computing, obtain the working temperature optimization plan of the steering gear and output it, and ensure that the working temperature of the steering gear is in a normal state.

[0112] Furthermore, in a preferred embodiment of the present invention, the working parameter analysis of the steering gear and the defect repair processing of the steering gear based on the working parameter analysis result are specifically as follows:

[0113] When the real-time working temperature of the servo is maintained within the preset range, if the working parameters of the servo still do not meet the preset conditions, the Bayesian network is introduced to analyze the working parameters of the servo to obtain the defective parts of the servo;

[0114] A three-dimensional model of the defective part of the steering gear is constructed in the three-dimensional software, which is defined as the defective part model of the steering gear. Based on the defective part model of the steering gear, it is analyzed whether the surface of the defective part of the steering gear is damaged. If so, the ship is controlled to stop sailing, the steering gear is turned off, and a surface repair plan for the defective part of the steering gear is calculated and output in the big data cloud, so that the surface of the defective part of the steering gear is not damaged;

[0115] If there is no damage on the surface of the defective part of the servo, and the working parameters of the servo still do not meet the preset conditions, the servo drive circuit is obtained, and the node current analysis of the servo drive circuit is performed to obtain the current value of each node on the servo drive circuit;

[0116] Analyze the current value of each node on the steering gear drive circuit, define the node whose current value is not within the preset range as a current abnormal node, and define the electronic component where the current abnormal node is located as an abnormal electronic component, and replace the abnormal electronic component;

[0117] If abnormal current nodes still exist after the abnormal electronic components are replaced, the circuit layout optimization method and circuit structure optimization method of the steering gear drive circuit are obtained and output based on big data cloud computing, so that the working parameters of the steering gear meet the preset conditions, and the steering gear is optimized for the ship's heading, so that the ship's real-time navigation position remains within the standard navigation range of the ship.

[0118] It should be noted that if the working temperature of the servo is maintained within the preset range, the working parameters of the servo are still abnormal, which proves that the servo may have other defects. First, determine whether the servo has physical defects, such as corrosion of some parts by seawater, or loss of the outside of some parts. First, the defective parts of the servo can be calculated through the Bayesian network, and a three-dimensional model of the defective parts of the servo can be constructed to analyze whether there are surface defects in the defective parts of the servo. If so, stop the navigation of the ship, turn off the servo, and perform corresponding repairs on the defective parts of the servo, including replacement of parts, corrosion removal of parts, and repair of parts. If the surface of the defective part of the servo is intact, the working parameters of the servo are still abnormal, and it is determined that there is a problem with the drive circuit inside the servo, resulting in the servo not working normally. Analyze the current values ​​of each node on the servo drive circuit. The reason for the abnormal current node may be that the corresponding electronic components, such as resistors, reactances and other electronic components, fail, resulting in abnormal current, so that the servo drive circuit cannot output the standard current, and finally leads to abnormal output power of the servo. The abnormal electronic components need to be replaced. If the abnormal current nodes still exist after replacement, it is judged that the problem of the steering gear drive circuit may be the circuit layout and circuit structure. The circuit layout includes the distribution of wires, the installation position of electronic components, etc., and the circuit structure includes the connection status of electronic components and the connection status of wires. Good circuit layout and circuit structure can improve the working efficiency and working status of the steering gear. Therefore, the circuit layout optimization method and circuit structure optimization method of the steering gear drive circuit are obtained and output based on big data cloud computing, and the ship heading of the steering gear is optimized.

[0119] In addition, the ship navigation route optimization method based on cloud computing also includes the following steps:

[0120] After the ship heading optimization scheme is calculated and generated in the big data cloud, the ship heading optimization scheme is converted into signal data, and the transmission path for transmitting the signal data to the corresponding ship equipment is defined as the signal transmission path;

[0121] Acquire all signal transmission paths of signal data, and perform signal data transmission tests on all signal transmission paths to obtain signal data transmission times of different signal transmission paths;

[0122] Preset the maximum signal data transmission time. If there is a signal transmission path whose signal data transmission time is less than the maximum signal data transmission time, define the corresponding signal transmission path as a qualified signal transmission path, sort the signal data transmission times of all qualified signal transmission paths, and select the qualified signal transmission path with the smallest signal data transmission time for output;

[0123] If the signal data transmission time of all signal transmission paths is greater than the maximum signal data transmission time, then the signal transmission path with the shortest signal data transmission time among all signal transmission paths is defined as the signal transmission path to be optimized;

[0124] Obtaining the type and location of electromagnetic equipment around the signal transmission path to be optimized, and based on the type and location of electromagnetic equipment around the signal transmission path to be optimized, calculating the surrounding electromagnetic interference intensity of the signal transmission path to be optimized, and constructing an electromagnetic interference distribution map based on the surrounding electromagnetic interference intensity of the signal transmission path to be optimized;

[0125] In the electromagnetic interference distribution map, an area where the electromagnetic interference intensity is greater than a preset value is defined as an electromagnetic interference abnormal area, a filter is installed in the electromagnetic equipment around the signal transmission path to be optimized, and the filter is controlled to filter the electromagnetic interference abnormal area, so that the electromagnetic interference intensity of all areas in the electromagnetic interference distribution map is not greater than the preset value;

[0126] If the signal data transmission time of the signal transmission path to be optimized is still greater than the maximum signal data transmission time after the filter performs filtering processing on the electromagnetic interference abnormal area, the topological structure optimization method of the signal transmission path to be optimized is calculated and output in the big data cloud, so that the signal data transmission time of the signal transmission path to be optimized is less than the maximum signal data transmission time.

[0127] It should be noted that most of the current ship heading optimization is computer-controlled, and there are fewer cases of human control. Therefore, after the ship heading optimization plan is generated, it can be transmitted to the corresponding equipment to complete the heading optimization. During the transmission process, if the transmission speed is too slow, it will delay the speed of the ship heading optimization plan, so that the ship cannot optimize the heading in time, causing harm to the ship. The ship heading optimization plan needs to be converted into a signal data format when it is transmitted, and the transmission time may be different for different transmission paths. If there is a transmission path whose transmission time is less than the maximum transmission time, it proves that the ship can optimize the route in time after the ship heading optimization plan is transmitted. At this time, it is necessary to output the transmission path with the smallest transmission time. If the transmission time of all transmission paths is greater than the maximum transmission time, the transmission path with the smallest transmission time is selected, that is, the signal transmission path to be optimized, and it is optimized. The generation of the signal transmission path to be optimized may be due to electromagnetic interference in the surrounding area, resulting in a slower signal transmission time, so an electromagnetic interference distribution map can be constructed according to the type and location of the electromagnetic equipment around the signal transmission path to be optimized. A higher electromagnetic interference intensity will result in a slower signal transmission time, so a filter is used to filter the abnormal electromagnetic interference area. If the signal transmission time is still slow after filtering, it proves that there is a problem with the topology of the signal transmission path to be optimized. It is necessary to optimize the topology so that the signal data transmission time of the signal transmission path to be optimized is less than the maximum signal data transmission time.

[0128] In addition, the ship navigation route optimization method based on cloud computing also includes the following steps:

[0129] If the identities of other surrounding vessels cannot be determined in the electronic nautical chart, the surrounding vessels whose identities cannot be determined are defined as Class I vessels;

[0130] Acquire images of a class of ships, perform image preprocessing and image feature data extraction on the images of the class of ships, obtain feature data of the class of ships, and obtain auxiliary ship feature data in the ships in the big data cloud;

[0131] Based on the cosine metric algorithm, the similarity between the characteristic data of a class of ships and the characteristic data of auxiliary ships is calculated, and based on the similarity between the characteristic data of a class of ships and the characteristic data of auxiliary ships, the safety level of a class of ships is preliminarily divided;

[0132] If the similarity between the characteristic data of a class of ships and the characteristic data of auxiliary ships is greater than a preset value, the class of ships is classified as ships with a high safety level; if the similarity between the characteristic data of a class of ships and the characteristic data of auxiliary ships is less than a preset value, the class of ships is classified as ships with a low safety level;

[0133] Obtain the surrounding safety distance of the ship. If a ship with a low safety level appears within the surrounding safety distance of the ship during the navigation process, control the broadcast on the ship to send an alarm to the ship with the low safety level, reminding the ship with the low safety level to sail out of the surrounding safety distance of the ship.

[0134] It should be noted that if the identities of other surrounding ships cannot be determined in the electronic nautical chart, it proves that these other surrounding ships may be unidentified ships, which may cause damage to the target ship, so it is necessary to divide the safety level of other surrounding ships with five identities, that is, a class of ships. The characteristic data of a class of ships can be obtained through image recognition, and a class of ships may include auxiliary ships dispatched from the ship, and the auxiliary ships include communication boats, patrol boats, etc. The similarity between the characteristic data of a class of ships and the characteristic data of auxiliary ships is analyzed. If the similarity is high, the class of ships is classified as a ship with a high safety level and no preventive treatment is required. If the similarity is low, it is classified as a ship with a low safety level. If a ship with a low safety level enters the surrounding safety distance of the target ship, the ship with a low safety level may cause harm to the target ship, and an alarm needs to be issued to drive away the ship with a low safety level.

[0135] like Figure 3As shown, the second aspect of the present invention further provides a ship navigation route optimization system based on cloud computing, the ship navigation route optimization system includes a memory 31 and a processor 32, the memory 31 stores a ship navigation route optimization method, and when the ship navigation route optimization method is executed by the processor 32, the following steps are implemented:

[0136] Acquire ocean data, construct a three-dimensional image of a target sea area based on the ocean data, perform navigation feasibility analysis on the three-dimensional image of the target sea area, and generate a first-class ship route;

[0137] The water temperature on the first-class ship route is monitored in real time during the ship's voyage, and the ship's route is optimized based on the real-time monitoring results of the water temperature;

[0138] Monitor the ship's navigation position in real time during the voyage, trace the cause of the deviation and optimize the route for ships that deviate from the target route;

[0139] Analyze the traffic conditions in the sea area where the ship is located during the voyage, obtain traffic condition analysis results, and adjust the ship's target route based on the traffic condition analysis results.

[0140] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A ship navigation route optimization method based on cloud computing, characterized in that: The following steps are involved: Acquire ocean data, construct a three-dimensional image of a target sea area based on the ocean data, perform navigation feasibility analysis on the three-dimensional image of the target sea area, and generate a first-class ship route; The water temperature on the first-class ship route is monitored in real time during the ship's voyage, and the ship's route is optimized based on the real-time monitoring results of the water temperature; Monitor the ship's navigation position in real time during the voyage, trace the cause of the deviation and optimize the route for ships that deviate from the target route; Analyze the traffic conditions of the sea area where the ship is located during the navigation process, obtain the traffic condition analysis results, and adjust the ship's target route based on the traffic condition analysis results; The method of monitoring the water temperature on a Class I ship route in real time during the ship's travel and optimizing the ship's route based on the real-time monitoring result of the water temperature is as follows: The real-time water temperature of all sea areas along the Class I ship route is obtained according to the meteorological software, and the real-time water temperature of all sea areas along the Class I ship route is imported into the three-dimensional image of the target sea area for optimization to obtain the optimized three-dimensional image of the target sea area; A dangerous water temperature threshold is preset. If the real-time water temperature of all sea areas that the ship's Class I route passes through is not within the dangerous water temperature threshold, the ship is controlled to continue sailing along the Class I route to the destination; If the real-time water temperature of the sea area where the ship class I route passes is within the dangerous water temperature threshold, then in the optimized three-dimensional image of the target sea area, the sea area with the real-time water temperature within the dangerous water temperature threshold is defined as a dangerous water temperature sea area; Determine the area of ​​the dangerous water temperature sea area. If the area of ​​the dangerous water temperature sea area is greater than the preset value, analyze other suitable ship routes, define the suitable ship route that does not pass through the dangerous water temperature sea area and has the shortest route length as the second-category ship route among other suitable ship routes, and control the ship to sail along the second-category ship route; If the area of ​​the dangerous water temperature sea area is smaller than the preset value, the three-dimensional image of the target sea area is optimized to determine whether the sea area adjacent to the dangerous water temperature sea area is an area with abnormal ocean current state or abnormal water depth data; If so, the ship is controlled to sail along the second category ship route; If not, the ship is controlled to sail along the Class I ship route, and before entering the dangerous water temperature area, the ship is controlled to make a detour so that the ship does not enter the dangerous water temperature area, and after the detour, the ship continues to sail along the Class I ship route to the destination; The real-time monitoring of the navigation position of the ship during the navigation process, tracing the cause of the deviation of the ship from the target route and optimizing the route are specifically as follows: The first-class ship route and the second-class ship route are collectively referred to as the ship target route, and a ship positioning system is obtained on the ship. When the ship sails along the ship target route, the real-time navigation position of the ship is obtained based on the ship positioning system; Based on the ship's target route, the standard navigation range of the ship is obtained. If the ship's real-time navigation position is not within the ship's standard navigation range, the original ocean current state at the ship's real-time navigation position in the target sea area three-dimensional image is defined as a type of ocean current state; Obtain the ship's surrounding meteorological data, and calculate the real-time ocean current state at the ship's real-time navigation position based on the ship's surrounding meteorological data, which is defined as a Class II ocean current state; Calculate the similarity between the first-class ocean current state and the second-class ocean current state. If the similarity between the first-class ocean current state and the second-class ocean current state is less than a preset value, calculate the similarity between the second-class ocean current state and the dangerous ocean current state. A current state monitoring time is preset. During the current state monitoring time, if the similarity between the Class II current state and the dangerous current state is less than a preset value, a ship heading optimization scheme is calculated in the big data cloud based on the Class II current state and outputted. The ship heading optimization scheme optimizes the ship's heading so that the ship's real-time navigation position remains within the standard navigation range of the ship. During the ocean current state monitoring time, if the similarity between the Category II ocean current state and the dangerous ocean current state is greater than a preset value, the ship is controlled to stop sailing, and the change of the Category II ocean current state is monitored in real time. When the similarity between the Category II ocean current state and the dangerous ocean current state is less than a preset value, the ship is controlled to resume sailing and optimize the ship's heading so that the ship's real-time navigation position remains within the standard navigation range of the ship; If the similarity between the first and second ocean current states is greater than a preset value, the steering gear is subjected to defect analysis and source tracing on the ship, and the steering gear is optimized according to the defect analysis and source tracing results, so that the real-time navigation position of the ship remains within the standard navigation range of the ship; The defect analysis and tracing of the steering gear on the ship and the optimization of the steering gear according to the defect analysis and tracing results so that the real-time navigation position of the ship is kept within the standard navigation range of the ship are specifically as follows: If the similarity between the first-class ocean current state and the second-class ocean current state is greater than the preset value, the real-time working parameters of the steering gear are obtained, and it is determined whether the real-time working parameters of the steering gear meet the preset conditions. If so, the steering gear is directly optimized for the ship's heading so that the real-time navigation position of the ship remains within the standard navigation range of the ship; If not, the real-time operating temperature of the servo is obtained. If the real-time operating temperature of the servo is not within the preset range, the servo operating temperature optimization scheme is calculated and output in the big data cloud based on the real-time operating parameters of the servo, so that the real-time operating temperature of the servo is maintained within the preset range; When the real-time working temperature of the servo is maintained within the preset range, if the working parameters of the servo still do not meet the preset conditions, the Bayesian network is introduced to analyze the working parameters of the servo to obtain the defective parts of the servo; A three-dimensional model of the defective part of the steering gear is constructed in the three-dimensional software, which is defined as the defective part model of the steering gear. Based on the defective part model of the steering gear, it is analyzed whether the surface of the defective part of the steering gear is damaged. If so, the ship is controlled to stop sailing, the steering gear is turned off, and a surface repair plan for the defective part of the steering gear is calculated and output in the big data cloud, so that the surface of the defective part of the steering gear is not damaged; If there is no damage on the surface of the defective part of the servo, and the working parameters of the servo still do not meet the preset conditions, the servo drive circuit is obtained, and the node current analysis of the servo drive circuit is performed to obtain the current value of each node on the servo drive circuit; Analyze the current value of each node on the steering gear drive circuit, define the node whose current value is not within the preset range as a current abnormal node, and define the electronic component where the current abnormal node is located as an abnormal electronic component, and replace the abnormal electronic component; If abnormal current nodes still exist after the abnormal electronic components are replaced, the circuit layout optimization method and circuit structure optimization method of the steering gear drive circuit are obtained and output based on big data cloud computing, so that the working parameters of the steering gear meet the preset conditions, and the steering gear is optimized for the ship's heading, so that the ship's real-time navigation position remains within the standard navigation range of the ship.

2. According to the cloud computing-based ship navigation route optimization method described in claim 1, it is characterized in that: The acquiring of ocean data, constructing a three-dimensional image of a target sea area based on the ocean data, performing a navigation feasibility analysis on the three-dimensional image of the target sea area, and generating a first-class ship route, specifically includes: Define the sea area where the ship is going to sail as the target sea area, and use meteorological software to obtain the wind direction and speed at each point in the target sea area; Based on the wind direction and speed at each point in the target sea area, calculate the ocean current state at each point in the target sea area, the ocean current state includes the ocean current direction and the ocean current intensity, and at the same time obtain the water depth data of each point in the target sea area based on historical data retrieval; Combining the ocean current state and water depth data in the target sea area to generate ocean data of the target sea area, and constructing a three-dimensional image of the target sea area in a three-dimensional simulation software based on the ocean data of the target sea area; Based on historical data retrieval, the dangerous ocean current status is obtained, the Euclidean distance between the dangerous ocean current status and the ocean current status at each point in the target sea area is calculated, and the similarity between the dangerous ocean current status and the ocean current status at each point in the target sea area is obtained based on the Euclidean distance; If the similarity between the ocean current state of a point in the target sea area and the dangerous ocean current state is greater than a preset value, the corresponding point in the target sea area is defined as an abnormal ocean current state point, and all the abnormal ocean current state points are combined in the three-dimensional image of the target sea area to obtain an abnormal ocean current state sea area; Obtaining the specifications of the ship, obtaining the maximum displacement of the ship based on the specifications of the ship, and calculating the minimum water depth data required for the ship to sail based on the maximum displacement of the ship, which is defined as the minimum water depth data for the ship to sail; In the three-dimensional image of the target sea area, a point where the water depth data is less than the minimum water depth data of the ship is defined as a water depth data abnormal point, and all the water depth data abnormal points are combined to obtain a water depth data abnormal sea area; Based on big data retrieval, all ship routes are obtained, and all ship routes are analyzed in the three-dimensional image of the target sea area. Ship routes that do not pass through sea areas with abnormal ocean current conditions or abnormal water depth data are defined as appropriate ship routes; The route length of suitable ship routes is analyzed, and the suitable ship route with the shortest route length is defined as a class I ship route.

3. According to the cloud computing-based ship navigation route optimization method described in claim 1, it is characterized in that: The analyzing of the traffic conditions in the sea area where the ship is located during the navigation of the ship to obtain the traffic condition analysis result, and adjusting the target route of the ship based on the traffic condition analysis result, specifically includes: Obtaining an electronic nautical chart on board the ship, and obtaining traffic conditions around the ship based on the electronic nautical chart, wherein the traffic conditions around the ship include the positions and identities of other ships in the surrounding area; Based on the positions of other ships in the vicinity, the relative distance between other ships in the vicinity is calculated. If the relative distance between other ships in the vicinity is greater than a preset value, the ship is controlled to continue sailing along the target route of the ship. If the relative distance between other ships in the vicinity and the ship is less than a preset value, the ship identity knowledge graph is retrieved in the big data cloud, in which the navigation priority of ships with different identities in different navigation scenarios is recorded, and the navigation scenario corresponding to the real-time navigation position of the ship is obtained based on the electronic nautical chart; The navigation scene corresponding to the real-time navigation position of the ship and the identities of other surrounding ships are imported into the ship identity knowledge graph for comparison, and the navigation priority of the ship and the navigation priority of other surrounding ships are obtained; If the navigation priority of the ship is lower than that of other surrounding ships, the ship will be controlled to stop sailing. When the relative distance between other surrounding ships and the propagation is greater than the preset value, the ship will be controlled to resume sailing. If the navigation priority of the ship is greater than the navigation priority of other surrounding ships, the radio frequency bands of other surrounding ships are obtained, and based on the radio frequency bands of other surrounding ships, radio communications are performed with other surrounding ships to remind other surrounding ships to give way.

4. A ship navigation route optimization system based on cloud computing, characterized in that: The ship navigation route optimization system includes a memory and a processor, wherein the memory stores a ship navigation route optimization method program. When the ship navigation route optimization method program is executed by the processor, the steps of a cloud computing-based ship navigation route optimization method as described in any one of claims 1 to 3 are implemented.

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