A cruise ship transport route optimization method and system based on artificial intelligence
By implementing an artificial intelligence-based path optimization method on cruise ships, using geographical information systems and marine weather data for route screening and optimization, the problem of insufficient accuracy of route selection in the existing technology is solved, and a more efficient and safe cruise transportation path is achieved.
Patent Information
- Application Number
- CN202411398211.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-09
- Publication Date
- 2025-06-06
- Estimated Expiration
- 2044-10-09
AI Technical Summary
In the prior art, the route selection accuracy of cruise ship transportation paths is insufficient, resulting in low transportation efficiency and low navigation safety.
By implementing an artificial intelligence-based path optimization method on cruise ships, using geographic information systems and marine weather data, screening and analyzing historical route data, setting evaluation thresholds, and conducting comprehensive evaluation and optimization to ensure the accuracy and safety of route selection.
It improves the accuracy and transportation efficiency of route selection, enhances navigation safety, and reduces transportation costs and risks caused by improper route selection.
Smart Images

Figure CN119313248B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of cruise ship transport path optimization, and in particular to an artificial intelligence-based cruise ship transport path optimization method and system. Background Art
[0002] With the continuous development of maritime navigation and nautical charting, and in order to reduce the cost of cruise transportation and improve the efficiency of cruise transportation, cruise transportation route optimization methods and systems have emerged. Through artificial intelligence, the cruise transportation route is optimized and the best transportation route is selected for navigation.
[0003] An existing AI-based cruise shipping route optimization method and system is implemented through the following technologies, including: geographic information system: used for map making, spatial analysis and route planning; satellite communication: to ensure data transmission and communication even in remote waters; cloud service: to provide powerful computing power to support large-scale route optimization calculations.
[0004] For example, the patent application with publication number: CN115407780A discloses a local path planning method for an unmanned ship based on a three-stage obstacle avoidance strategy, including: Phase 0 adopts a dynamic obstacle avoidance maneuvering range and a dynamic target point to solve the inherent problems of the dynamic window method; and introduces the influence of the environment in the selection process of the dynamic target point to reduce the energy consumption of the unmanned ship in the static obstacle avoidance process. Phase 1 combines the speed barrier method and the "International Regulations for Preventing Collisions at Sea" and adopts speed barrier restrictions to reduce the collision risk and difficulty of the unmanned ship in the obstacle avoidance process. Phase 2 combines the speed barrier method and the "International Regulations for Preventing Collisions at Sea" and adopts a port restriction and a starboard scoring mechanism to achieve obstacle avoidance for unmanned ships based on the "International Regulations for Preventing Collisions at Sea".
[0005] For example, the navigation method and terminal device of a ship announced by the invention patent with announcement number: CN117452954B include: obtaining environmental information corresponding to the ship, the environmental information is used to characterize the data information of the relevant sea area when the ship is at the current position; determining the autonomous navigation state corresponding to the ship according to the environmental information; when the autonomous navigation state meets the preset conditions, obtaining the target heading information corresponding to the ship by using the path planning algorithm according to the environmental information; obtaining the target speed information corresponding to the ship by using the speed prediction model according to the environmental information; determining the navigation strategy corresponding to the ship according to the target heading information and the target speed information, so that the ship navigates according to the navigation strategy.
[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:
[0007] In the prior art, geographic information systems combine geography and cartography as well as remote sensing and computer science to input, store, query, analyze and display geographic data. However, there is a problem of insufficient accuracy in route selection according to geographic information systems. Summary of the invention
[0008] The embodiments of the present application provide a cruise transport route optimization method and system based on artificial intelligence, thereby solving the problem of insufficient accuracy in route selection in the prior art and achieving the effect of improving the accuracy of route selection.
[0009] The embodiment of the present application provides a cruise transport route optimization method based on artificial intelligence, comprising the following steps: S1. The geographic information system on the cruise ship selects a route based on historical data. S2. The geographic information system on the cruise ship collects the cruise transport data of the route and the ocean weather data of the route, analyzes the cruise transport data of the route and the ocean weather data of the route, and obtains the cruise transport evaluation index of the route and the ocean weather evaluation index of the route. S3. Set a cruise transport evaluation threshold and an ocean weather evaluation threshold, compare the cruise transport evaluation index of the route and the ocean weather evaluation index of the route with the cruise transport evaluation threshold and the ocean weather evaluation threshold, respectively, and determine whether to optimize the route based on the comparison results. S4. If the route does not need to be optimized, select the route for navigation. If the route needs to be optimized, comprehensively evaluate the cruise transport evaluation index and the ocean weather evaluation index of the route to obtain a comprehensive evaluation index of the route, and optimize the route based on the comprehensive evaluation index of the route.
[0010] Furthermore, the specific selection process of the geographic information system on the cruise ship to select a route based on historical data is as follows: collecting historical navigation data and historical ocean weather data of the route, selecting multiple available routes based on the historical navigation data of the route, and selecting a route with the largest historical ocean weather data among the multiple available routes based on the size of the historical ocean weather data of the route. The historical data includes the historical navigation data and historical ocean weather data of the route.
[0011] Furthermore, the specific collection process of the cruise ship's GIS collecting cruise ship transport data and ocean weather data of the route is as follows: the cruise ship collects cruise ship transport data of the route through the GIS, and the cruise ship transport route data of the route includes cruise ship transport sailing time, cruise ship transport speed, cruise ship load and cruise ship fuel consumption rate. The cruise ship's GIS collects ocean weather data of the route through meteorological satellites, and the ocean weather data of the route includes the wind speed of the route, the air pressure of the route, the temperature of the route and the wave height of the route.
[0012] Furthermore, the specific analysis process of analyzing the cruise transport data of the route and the ocean weather data of the route is: the local processor of the cruise ship analyzes the cruise transport data of the route to obtain the cruise transport evaluation index of the route, and the geographic information system of the cruise ship analyzes the ocean weather data of the route to obtain the ocean weather evaluation index of the route.
[0013] Furthermore, the specific process of obtaining the cruise transport assessment threshold and the ocean weather assessment threshold is as follows: the cruise ship's geographic information system analyzes the cruise ship's historical assessment threshold and the ocean weather historical assessment threshold, directly extracts the cruise ship's geographic information system and the ocean weather assessment threshold, tests the cruise ship's transport assessment threshold and the ocean weather assessment threshold in a simulated environment, analyzes the test results, and optimizes the cruise ship's transport assessment threshold and the ocean weather assessment threshold according to the test analysis results.
[0014] Furthermore, the specific judgment process for determining whether to optimize the route based on the comparison results is: comparing the cruise transport assessment index of the route and the ocean weather assessment index of the route with the cruise transport assessment threshold and the ocean weather assessment threshold respectively; if the cruise transport assessment index of the route is greater than or equal to the cruise transport assessment threshold and the ocean weather assessment index of the route is greater than or equal to the ocean weather assessment threshold, the route does not need to be optimized; in other cases, the route needs to be optimized.
[0015] Furthermore, the specific evaluation process of comprehensively evaluating the cruise transport assessment index and the ocean weather assessment index of the route is as follows: standardizing the cruise transport assessment index and the ocean weather assessment index, determining the influence weights of the cruise transport assessment index and the ocean weather assessment index of the route, and conducting a comprehensive evaluation to obtain the comprehensive evaluation index of the route.
[0016] Furthermore, the specific optimization process of optimizing the route according to the comprehensive evaluation index of the route is: comparing the cruise transport evaluation index and the ocean weather evaluation index in the comprehensive evaluation index of the route with the cruise transport evaluation threshold and the ocean weather evaluation threshold, and obtaining the comparison results of the cruise transport evaluation index and the ocean weather evaluation index with the cruise transport evaluation threshold and the ocean weather evaluation threshold, optimizing the route or cruise according to the comparison results, including opening the cruise ship's stabilizing fins, opening the cruise ship's energy recovery system and readjusting the path, comprehensively evaluating the optimized route to obtain the comprehensive evaluation index of the optimized route, storing the comprehensive evaluation index of the optimized route in the cloud, and providing a reference for the next route based on the comprehensive evaluation index of the optimized route stored in the cloud.
[0017] Furthermore, the specific method for obtaining the comprehensive evaluation index of the route is:
[0018]
[0019] Wherein, ε represents the comprehensive evaluation index of the route, which is used to evaluate the impact of cruise transport and ocean weather on the route, μ represents the cruise transport evaluation index of the route, α represents the impact weight of the cruise transport evaluation index of the route, ρ represents the ocean weather evaluation index of the route, β represents the impact weight of the ocean weather evaluation index of the route, ΔTH represents the distance deviation between the cruise ship's sailed path and the original planned path, ΔLP represents the fuel consumption deviation between the cruise ship's sailed path and the original planned path, ΔCV represents the wind direction angle deviation between the cruise ship's sailed path and the original planned path, and θ represents the impact weight of the distance deviation, fuel consumption deviation and wind direction angle deviation between the cruise ship's sailed path and the original planned path on the comprehensive evaluation index of the route.
[0020] The embodiment of the present application provides a cruise ship transport route optimization system based on artificial intelligence, which includes a historical data screening module, a data collection and analysis module, a threshold comparison module and an optimization module:
[0021] Historical data screening module: used to screen out a route based on historical data.
[0022] Data collection and analysis module: used to collect the cruise transport data and the ocean weather data of the route, analyze the cruise transport data and the ocean weather data of the route, and obtain the cruise transport evaluation index and the ocean weather evaluation index of the route.
[0023] Threshold comparison module: used to set the cruise transport assessment threshold and the ocean weather assessment threshold, compare the cruise transport assessment index of the route and the ocean weather assessment index of the route with the cruise transport assessment threshold and the ocean weather assessment threshold respectively, and determine whether to optimize the route based on the comparison results.
[0024] Optimization module: If the route does not need to be optimized, select the route for navigation. If the route needs to be optimized, conduct a comprehensive evaluation of the cruise transport assessment index and the ocean weather assessment index of the route to obtain the comprehensive assessment index of the route, and optimize the route based on the comprehensive assessment index of the route.
[0025] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
[0026] 1. By screening and analyzing historical data, efficient routes can be quickly identified, providing strong support for route selection, effectively reducing low transportation efficiency and the time required for route planning caused by improper route selection, thereby achieving the effect of improving the accuracy of route selection and effectively solving the problem of insufficient accuracy of route selection in existing technologies.
[0027] 2. By utilizing cruise shipping data and ocean weather data, combined with artificial intelligence technology to make route decisions, artificial intelligence technology can objectively analyze various data, avoid the influence of human factors on route decisions, ensure the rationality of route selection, and thus achieve the effect of improving the objectivity of route decisions, effectively solving the problem of insufficient objectivity of route decisions in existing technologies.
[0028] 3. By setting assessment thresholds and conducting risk assessments, potential safety risks can be discovered in a timely manner and effective measures can be taken to address them. This helps reduce the probability of accidents during the voyage and ensure the safety of crew members, thereby improving navigation safety. BRIEF DESCRIPTION OF THE DRAWINGS
[0029] Figure 1 A flow chart of a cruise ship transport route optimization method based on artificial intelligence provided in an embodiment of the present application;
[0030] Figure 2 An image of the ocean weather assessment index of the route in the cruise ship transport path optimization method based on artificial intelligence provided in an embodiment of the present application;
[0031] Figure 3 A schematic diagram of the structure of an artificial intelligence-based cruise ship transport route optimization system provided in an embodiment of the present application. DETAILED DESCRIPTION
[0032] The embodiments of the present application provide a cruise transport route optimization method and system based on artificial intelligence, thereby solving the problem of insufficient accuracy in route selection in the prior art. By screening and analyzing historical data, efficient routes can be quickly identified, thereby achieving the effect of improving the accuracy of route selection.
[0033] The technical solution in the embodiment of the present application is to solve the above-mentioned problem of insufficient accuracy in route selection, and the overall idea is as follows:
[0034] A route is screened out based on historical data through the geographic information system on the cruise ship. The geographic information system on the cruise ship collects the cruise transport data and the ocean weather data of the route, analyzes the cruise transport data and the ocean weather data of the route, sets the cruise transport assessment threshold and the ocean weather assessment threshold, compares the cruise transport assessment index and the ocean weather assessment index of the route with the cruise transport assessment threshold and the ocean weather assessment threshold respectively, and determines whether to optimize the route based on the comparison results. If the route does not need to be optimized, select the route for navigation. If the route needs to be optimized, comprehensively evaluate the cruise transport assessment index and the ocean weather assessment index of the route to obtain the comprehensive assessment index of the route, and optimize the route based on the comprehensive assessment index of the route, thereby achieving the effect of improving the accuracy of route selection.
[0035] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.
[0036] like Figure 1 As shown, it is a flow chart of a cruise transport path optimization method based on artificial intelligence provided by an embodiment of the present application. The method is applied to a cruise transport path optimization system based on artificial intelligence. The method includes the following steps: S1. The geographic information system on the cruise ship selects a route based on historical data. S2. The geographic information system on the cruise ship collects the cruise transport data of the route and the ocean weather data of the route, analyzes the cruise transport data of the route and the ocean weather data of the route, and obtains the cruise transport evaluation index of the route and the ocean weather evaluation index of the route. S3. Set a cruise transport evaluation threshold and an ocean weather evaluation threshold, compare the cruise transport evaluation index of the route and the ocean weather evaluation index of the route with the cruise transport evaluation threshold and the ocean weather evaluation threshold respectively, and judge whether to optimize the route according to the comparison result. S4. If the route does not need to be optimized, select the route for navigation. If the route needs to be optimized, comprehensively evaluate the cruise transport evaluation index and the ocean weather evaluation index of the route to obtain the comprehensive evaluation index of the route, and optimize the route according to the comprehensive evaluation index of the route.
[0037] In this embodiment, based on the historical waterway data, multiple routes with the shortest historical navigation time, the lowest fuel consumption rate, the highest historical navigation speed and the largest number of emergency refuge ports during navigation are screened out. First, two routes with the least number of extreme weather events on the historical routes are selected, and then the route with the highest visibility on the sea during the historical navigation is selected from these two routes as the most frequently used and efficient route. According to the analysis results, the geographic information system selects one or several alternative routes as the preliminary navigation plan, analyzes the collected data, and predicts the transportation efficiency and possible weather impact of the route. According to the analysis results, the cruise transport assessment index and the ocean weather assessment index are calculated. If both indexes are higher than the threshold, it is considered that the current route does not need to be optimized. If any index is lower than the threshold, it is considered that the route needs to be optimized. According to the comprehensive assessment index, the system will propose a route adjustment plan, which may include changing the route, adjusting the navigation speed, and choosing a more suitable departure time.
[0038] Furthermore, the specific selection process of the geographic information system on the cruise ship to select a route based on historical data is as follows: collecting historical navigation data and historical ocean weather data of the route, selecting multiple available routes based on the historical navigation data of the route, and selecting a route with the largest historical ocean weather data among the multiple available routes based on the size of the historical ocean weather data of the route. The historical data includes the historical navigation data and historical ocean weather data of the route.
[0039] In this embodiment, historical waterway data and historical ocean weather data are collected through an API interface, database access or other data transmission methods, the collected data are cleaned and normalized, and the cruise ship's geographic information system is used to screen out multiple routes with the shortest historical navigation time, the lowest historical navigation fuel consumption rate, the highest historical navigation speed and the largest number of emergency refuge ports during navigation based on the historical waterway data. The historical ocean weather data of each available route is analyzed to evaluate its weather risk and navigation safety. Among the multiple available routes, the multiple routes are arranged in descending order according to the number of occurrences of extreme weather events on the historical routes, and then the route with the highest visibility on the sea during the historical navigation is selected in reverse order from the multiple routes arranged in descending order as the most stable route with the lowest risk, thereby avoiding the selection of these high-risk routes and improving the safety of navigation.
[0040] Historical navigation data includes historical navigation time and the number of emergency ports of refuge during historical navigation.
[0041] Historical ocean weather data includes the number of extreme weather events on historical routes and sea visibility during historical voyages.
[0042] Furthermore, the specific collection process of the cruise ship's GIS collecting cruise ship transport data and ocean weather data of the route is as follows: the cruise ship collects cruise ship transport data of the route through the GIS, and the cruise ship transport route data of the route includes cruise ship transport sailing time, cruise ship transport speed, cruise ship load and cruise ship fuel consumption rate. The cruise ship's GIS collects ocean weather data of the route through meteorological satellites, and the ocean weather data of the route includes the wind speed of the route, the air pressure of the route, the temperature of the route and the wave height of the route.
[0043] In this embodiment, the cruise ship's geographic information system is integrated with the cruise ship's navigation system, sensors and other monitoring equipment to collect the cruise ship's transportation data in real time, monitor the cruise ship's sailing time, speed, load and fuel consumption rate and other key indicators in real time, and the cruise ship's geographic information system is connected to the data service of meteorological satellites to obtain real-time ocean weather information, and collect ocean weather data closely related to navigation safety, including wind speed, air pressure, temperature and wave height. By collecting and analyzing cruise ship transportation data and ocean weather data in real time, potential risks, such as severe weather conditions or cruise ship performance problems, can be identified in a timely manner, so that measures can be taken to ensure navigation safety.
[0044] Furthermore, the specific analysis process of analyzing the cruise transport data of the route and the ocean weather data of the route is: the local processor of the cruise ship analyzes the cruise transport data of the route to obtain the cruise transport evaluation index of the route, and the geographic information system of the cruise ship analyzes the ocean weather data of the route to obtain the ocean weather evaluation index of the route.
[0045] In this embodiment, the collected cruise transport data and ocean weather data are cleaned and standardized to ensure data quality, key features such as sailing time, speed, load and fuel consumption rate are extracted from the cruise transport data and ocean weather data, the above key features are analyzed, and the cruise transport evaluation index and the ocean weather evaluation index are calculated to reflect the transport performance of the cruise on the current route and the impact of ocean weather on navigation. Combining the two evaluation indexes can more effectively plan routes, select the optimal transportation path, and reduce unnecessary risks and costs.
[0046] The cruise ship's local processors include a geographic information system and a cruise shipping route optimization system.
[0047] Furthermore, the specific process of obtaining the cruise transport assessment threshold and the ocean weather assessment threshold is as follows: the cruise ship's geographic information system analyzes the cruise ship's historical assessment threshold and the ocean weather historical assessment threshold, directly extracts the cruise ship's geographic information system and the ocean weather assessment threshold, tests the cruise ship's transport assessment threshold and the ocean weather assessment threshold in a simulated environment, analyzes the test results, and optimizes the cruise ship's transport assessment threshold and the ocean weather assessment threshold according to the test analysis results.
[0048] In this embodiment, historical evaluation threshold data of cruise transportation and ocean weather are extracted from the cruise ship's geographic information system, the historical evaluation thresholds are analyzed, the effectiveness of the threshold settings and potential improvement points are identified, the standards for the cruise transportation and ocean weather evaluation thresholds are determined based on the analysis results, the current cruise transportation evaluation thresholds and ocean weather evaluation thresholds are extracted from the geographic information system, the cruise transportation evaluation thresholds and ocean weather evaluation thresholds are tested in a simulation environment, the performance of the cruise ship under different threshold settings is observed, the results of the simulation test are analyzed, the impact of the threshold setting on the optimization of the cruise transportation path is evaluated, and the cruise transportation evaluation thresholds and ocean weather evaluation thresholds are dynamically adjusted within the threshold range based on the results of the simulation test. The threshold range is directly obtained through the database, and the dynamic adjustment rule is to increase or decrease the cruise transportation evaluation threshold and the ocean weather evaluation threshold based on the results of the simulation test combined with the threshold range. The simulation test and threshold adjustment process are repeated until the evaluation thresholds of the cruise transportation evaluation index and the ocean weather evaluation index with the smallest difference from the cruise transportation evaluation threshold and the ocean weather evaluation threshold are found. By analyzing historical data, the evaluation thresholds can be set more accurately to ensure that the thresholds are consistent with the actual situation.
[0049] Furthermore, the specific judgment process for determining whether to optimize the route based on the comparison results is: comparing the cruise transport assessment index of the route and the ocean weather assessment index of the route with the cruise transport assessment threshold and the ocean weather assessment threshold respectively; if the cruise transport assessment index of the route is greater than or equal to the cruise transport assessment threshold and the ocean weather assessment index of the route is greater than or equal to the ocean weather assessment threshold, the route does not need to be optimized; in other cases, the route needs to be optimized.
[0050] In this embodiment, the cruise ship's geographic information system is used to obtain the cruise ship's current route's cruise ship transport assessment index and ocean weather assessment index, and the cruise ship transport assessment index is compared with the cruise ship transport assessment threshold, and the ocean weather assessment index is compared with the ocean weather assessment threshold. If the cruise ship transport assessment index of the route is greater than or equal to the cruise ship transport assessment threshold, and the ocean weather assessment index is greater than or equal to the ocean weather assessment threshold, then the route is considered safe under current conditions and does not need to be optimized. If any of the assessment indexes is lower than the corresponding assessment threshold, then the route is considered to have potential risks or efficiency issues and needs to be optimized. By comparing the assessment index and the threshold, it can be ensured that the route meets the predetermined standards in terms of safety and efficiency, thereby ensuring the safety of passengers and crew members.
[0051] Furthermore, the specific evaluation process of comprehensively evaluating the cruise transport assessment index and the ocean weather assessment index of the route is as follows: standardizing the cruise transport assessment index and the ocean weather assessment index, determining the influence weights of the cruise transport assessment index and the ocean weather assessment index of the route, and conducting a comprehensive evaluation to obtain the comprehensive evaluation index of the route.
[0052] In this embodiment, the cruise transport assessment index and the ocean weather assessment index are normalized by the minimum-maximum normalization method or the Z-score normalization method to make them in the same dimension, usually by scaling the data to between 0 and 1, and determining the size relationship between the weights of the cruise transport assessment index and the ocean weather assessment index through historical data analysis. For example, the wind direction of the route is obtained from the database. If the wind direction is opposite to the route, the weight of the ocean weather assessment index is greater than that of the cruise transport assessment index. The standardized cruise transport assessment index and ocean weather assessment index are multiplied by their respective weights, and then summed to obtain the comprehensive assessment index of the route. Through standardization, the comparability between different indicators is ensured, and the accuracy of the comprehensive evaluation is improved.
[0053] Furthermore, the specific optimization process of optimizing the route according to the comprehensive evaluation index of the route is: comparing the cruise transport evaluation index and the ocean weather evaluation index in the comprehensive evaluation index of the route with the cruise transport evaluation threshold and the ocean weather evaluation threshold, and obtaining the comparison results of the cruise transport evaluation index and the ocean weather evaluation index with the cruise transport evaluation threshold and the ocean weather evaluation threshold, optimizing the route or cruise according to the comparison results, including opening the cruise ship's stabilizing fins, opening the cruise ship's energy recovery system and readjusting the path, comprehensively evaluating the optimized route to obtain the comprehensive evaluation index of the optimized route, storing the comprehensive evaluation index of the optimized route in the cloud, and providing a reference for the next route based on the comprehensive evaluation index of the optimized route stored in the cloud.
[0054] In this embodiment, the cruise ship transport assessment index and the ocean weather assessment index in the comprehensive assessment index of the route are compared with the cruise ship transport assessment threshold and the ocean weather assessment threshold. If the ocean weather assessment index in the comprehensive assessment index is lower than the ocean weather assessment threshold and the cruise ship transport assessment index is greater than or equal to the cruise ship transport assessment threshold, the route is not modified, and the cruise ship's stabilizing fins are opened to reduce the swaying of the ship by reducing the speed. In the case of large winds and waves, the stabilizing fins can significantly improve the stability of navigation. If the ocean weather assessment index is greater than or equal to the ocean weather assessment threshold and the cruise ship transport assessment index is lower than the cruise ship transport assessment threshold, the route is not modified, the cruise ship's energy recovery system is turned on, the cruise ship is energy recovered, and the consumption of the cruise ship's voyage is reduced. If the ocean weather assessment index is lower than the ocean weather assessment threshold and the cruise ship transport assessment index is lower than the cruise ship transport assessment threshold, the sea conditions and weather changes are monitored in real time, the route path is adjusted to avoid high-risk routes, and the speed is adjusted according to the current sea conditions and weather forecasts to ensure the safety and efficiency of cruise transportation.
[0055] After the route is optimized, the specific effects of the comprehensive evaluation index of the route are as follows: (1) Comprehensively evaluate the optimized route to obtain the comprehensive evaluation index of the optimized route. (2) Obtain the comprehensive evaluation threshold of the optimized route directly from the database. (3) Compare the comprehensive evaluation index of the optimized route with the comprehensive evaluation threshold of the optimized route. The specific comparison process of the comprehensive evaluation index of the optimized route and the comprehensive evaluation threshold of the optimized route is as follows: if the comprehensive evaluation index of the optimized route is greater than or equal to the comprehensive evaluation threshold of the optimized route, the comprehensive evaluation index of the optimized route is stored in the cloud server. When the same route is sailed next time, the comprehensive evaluation index of the optimized route stored in the cloud server is used as a reference for the next route planning, which significantly improves the scientific nature of safe navigation. By storing the comprehensive evaluation index of each route, a large amount of historical data can be accumulated to provide rich reference information for subsequent route optimization. The stored evaluation index allows cruise companies to quickly adjust routes in the face of sudden weather changes or other emergencies, thereby improving the flexibility of responding to emergencies. If the comprehensive evaluation index of the optimized route is less than the comprehensive evaluation threshold of the optimized route, the cloud server refuses to store the comprehensive evaluation index of the optimized route, which improves the rigor of using historical route data as a reference. This system stores the comprehensive evaluation index of all sea routes, which will be used for reference by cruise ships in the future. The system will give priority to cruise ships of the same tonnage.
[0056] If the cruise ship has not optimized its route and only turned on its stabilizing fins or energy recovery system, there is no optimized comprehensive evaluation index at this time. At this time, the comprehensive evaluation index of the original route is compared with the comprehensive evaluation threshold of the original route obtained from the database. If the comprehensive evaluation index of the original route is greater than or equal to the comprehensive evaluation threshold of the original route, the comprehensive evaluation index of the original route is stored in the cloud server. If the comprehensive evaluation index of the original route is less than the comprehensive evaluation threshold of the original route, the cloud server refuses to store the comprehensive evaluation index of the original route.
[0057] Furthermore, the specific method for obtaining the comprehensive evaluation index of the route is:
[0058]
[0059] Wherein, ε represents the comprehensive evaluation index of the route, which is used to evaluate the impact of cruise transport and ocean weather on the route, μ represents the cruise transport evaluation index of the route, α represents the impact weight of the cruise transport evaluation index of the route, ρ represents the ocean weather evaluation index of the route, β represents the impact weight of the ocean weather evaluation index of the route, ΔTH represents the distance deviation between the cruise ship's sailed path and the original planned path, ΔLP represents the fuel consumption deviation between the cruise ship's sailed path and the original planned path, ΔCV represents the wind direction angle deviation between the cruise ship's sailed path and the original planned path, and θ represents the impact weight of the distance deviation, fuel consumption deviation and wind direction angle deviation between the cruise ship's sailed path and the original planned path on the comprehensive evaluation index of the route.
[0060] The distance deviation value between the cruise ship's sailed path and the original planned path will change with the cruise ship's transport speed. The greater the difference between the cruise ship's transport speed and the cruise ship's transport speed reference value, the greater the distance deviation value between the cruise ship's sailed path and the original planned path. The fuel consumption deviation value between the cruise ship's sailed path and the original planned path will change with the cruise ship's fuel consumption rate. When the cruise ship's fuel consumption rate is greater, the fuel consumption deviation value between the cruise ship's sailed path and the original planned path is greater. The wind direction angle deviation value between the cruise ship's sailed path and the original planned path will change with the wind speed of the route. When the wind speed of the route is greater, the wind direction angle deviation value between the cruise ship's sailed path and the original planned path is greater.
[0061] The distance deviation value between the cruise ship's sailed path and the original planned path can be obtained in real time through the global positioning device installed on the cruise ship, the fuel consumption deviation value between the cruise ship's sailed path and the original planned path can be obtained through the fuel consumption monitoring system on the cruise ship, and the wind direction angle deviation value between the cruise ship's sailed path and the original planned path can be directly obtained through meteorological satellites.
[0062] The weight of the cruise transport evaluation index of the route, the weight of the ocean weather evaluation index of the route, and the weight of the distance deviation between the cruise ship's sailed path and the original planned path, the fuel consumption deviation value, and the wind direction angle deviation value on the comprehensive evaluation index of the route can be obtained through the dynamic information database, and the weight of the cruise transport evaluation index of the route, the weight of the ocean weather evaluation index of the route, and the weight of the distance deviation between the cruise ship's sailed path and the original planned path, the fuel consumption deviation value, and the wind direction angle deviation value on the comprehensive evaluation index of the route can also be obtained through the reciprocal of the sum of the cruise transport evaluation index of the route, the ocean weather evaluation index of the route, and the distance deviation between the cruise ship's sailed path and the original planned path, the fuel consumption deviation value, and the wind direction angle deviation value in the historical data. A mapping set of cruise transport evaluation index of the route, ocean weather evaluation index of the route and the inverse of the sum of the distance deviation value, fuel consumption deviation value and wind direction angle deviation value between the cruise ship's sailed path and the original planned path and their corresponding weights are established respectively with the relationship between the dynamic information; by inputting the real-time cruise transport evaluation index of the route, ocean weather evaluation index of the route and the inverse of the sum of the distance deviation value, fuel consumption deviation value and wind direction angle deviation value between the cruise ship's sailed path and the original planned path, the cruise transport evaluation index influence weight of the corresponding route in the mapping set, the ocean weather evaluation index influence weight of the route and the influence weight of the distance deviation value, fuel consumption deviation value and wind direction angle deviation value between the cruise ship's sailed path and the original planned path on the comprehensive evaluation index of the route are obtained.
[0063] In this embodiment, the specific method for obtaining the cruise transport evaluation index of the route is:
[0064]
[0065] μ represents the cruise transport evaluation index of the route, sj represents the cruise transport sailing time, and sj 0 It is the reference value of cruise ship sailing time, hs is the cruise ship speed, hs 0 It is the reference value of cruise ship transport speed, zw is the cruise ship load, zw 0 It is the reference value of the cruise ship's load, hy is the fuel consumption rate of the cruise ship, hy 0 It is expressed as the reference value of cruise ship fuel consumption rate, γ represents the impact weight of cruise ship sailing time, δ represents the impact weight of cruise ship speed, σ represents the impact weight of cruise ship load, τ represents the impact weight of cruise ship fuel consumption rate, and e is expressed as a natural constant.
[0066] In this embodiment, the cruise ship transportation sailing time can be automatically recorded by the cruise ship's GPS and other navigation systems, the cruise ship transportation speed can be monitored in real time by the speed recorder on the cruise ship, the cruise ship load can be measured by the ship management system on the cruise ship, and the cruise ship fuel consumption rate can be accurately measured by the flow meter installed on each fuel pump. The reference value of the cruise ship transportation sailing time, the reference value of the cruise ship transportation speed, the reference value of the cruise ship load, and the reference value of the cruise ship fuel consumption rate can be directly obtained from the database, and the above reference values are all referenced to cruise ships of the same tonnage.
[0067] The cruise transport sailing time weight, cruise transport speed influence weight, cruise load influence weight, and cruise fuel consumption rate influence weight can be obtained through the dynamic information database. Through the relationship between the cruise transport sailing time, cruise transport speed, cruise load, and cruise fuel consumption rate in the historical data and the dynamic information, a mapping set of cruise transport sailing time, cruise transport speed, cruise load, and cruise fuel consumption rate and their corresponding weights is established respectively. By inputting the real-time cruise transport sailing time, cruise transport speed, cruise load, and cruise fuel consumption rate, the corresponding cruise transport sailing time weight, cruise transport speed influence weight, cruise load influence weight, and cruise fuel consumption rate influence weight in the mapping set are obtained.
[0068] The maximum wind speed, air pressure, temperature and wave height of the route are directly obtained through the database. When any parameter of the wind speed, air pressure, temperature and wave height of the route is greater than or equal to the maximum value, the ocean weather assessment index of the route is 0. In other cases, the specific method of the ocean weather assessment index of the route is:
[0069]
[0070] ρ represents the ocean weather assessment index of the route, fs represents the wind speed of the route, and fs 0 It is the reference value of the wind speed of the route, qy is the air pressure of the route, qy 0 It is the reference value of the air pressure of the route, wd is the temperature of the route, wd 0 It is the reference value of the temperature of the route, lg is the wave height of the route, lg 0 It indicates the reference value of wave height for the route.
[0071] The wind speed, air pressure, temperature and wave height of the route can be uniformly obtained through meteorological satellites, and the reference values of the wind speed, air pressure, temperature and wave height of the route can be directly obtained through the database.
[0072] According to the analysis of physical relationships, the higher the temperature of the route, the higher the air pressure of the route, and the air pressure of the route is positively correlated with the temperature of the route; the wind speed of the route affects the cruise transport speed, cruise transport sailing time and cruise fuel consumption rate synchronously according to the wind direction. When the wind direction is opposite to the route direction, the wind speed of the route has a negative impact on the cruise transport speed, cruise transport sailing time and cruise fuel consumption rate. When the wind direction is the same as the route direction, the wind speed of the route has a positive impact on the cruise transport speed, cruise transport sailing time and cruise fuel consumption rate.
[0073] In a specific embodiment, the ocean weather assessment index data of the route is exemplified in the following table.
[0074] Table 1 Example of marine weather assessment index data for routes
[0075]
[0076]
[0077] E 0 =10 knots, F 0 =1013 hPa, K 0 =25 degrees Celsius, M 0 = 3 meters, through Figure 2 It can be seen from the data in Table 1 that when the air pressure, temperature and wave height of the route remain unchanged, the greater the wind speed of the route, the lower the ocean weather assessment index of the route.
[0078] like Figure 3 As shown, it is a structural schematic diagram of an artificial intelligence-based cruise ship transportation path optimization system provided in an embodiment of the present application. The artificial intelligence-based cruise ship transportation path optimization system provided in an embodiment of the present application includes: a historical data screening module, a data collection and analysis module, a threshold comparison module and an optimization module:
[0079] Historical data screening module: used to screen out a route based on historical data.
[0080] Data collection and analysis module: used to collect the cruise transport data and the ocean weather data of the route, analyze the cruise transport data and the ocean weather data of the route, and obtain the cruise transport evaluation index and the ocean weather evaluation index of the route.
[0081] Threshold comparison module: used to set the cruise transport assessment threshold and the ocean weather assessment threshold, compare the cruise transport assessment index of the route and the ocean weather assessment index of the route with the cruise transport assessment threshold and the ocean weather assessment threshold respectively, and determine whether to optimize the route based on the comparison results.
[0082] Optimization module: If the route does not need to be optimized, select the route for navigation. If the route needs to be optimized, conduct a comprehensive evaluation of the cruise transport assessment index and the ocean weather assessment index of the route to obtain the comprehensive assessment index of the route, and optimize the route based on the comprehensive assessment index of the route.
[0083] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0084] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.
[0085] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.
[0086] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.
[0087] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.
[0088] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.
Claims
1. A cruise ship transport route optimization method based on artificial intelligence, characterized in that: The following steps are involved: S1. The GIS on the cruise ship selects a route based on historical data; S2. The geographic information system on the cruise ship collects the cruise transport data and the ocean weather data of the route, analyzes the cruise transport data and the ocean weather data of the route, and obtains the cruise transport evaluation index and the ocean weather evaluation index of the route; S3. Setting a cruise transport assessment threshold and a marine weather assessment threshold, comparing the cruise transport assessment index of the route and the marine weather assessment index of the route with the cruise transport assessment threshold and the marine weather assessment threshold, respectively, and determining whether to optimize the route based on the comparison results; S4. If the route does not need to be optimized, the route is selected for navigation. If the route needs to be optimized, the cruise transport assessment index and the ocean weather assessment index of the route are comprehensively evaluated to obtain a comprehensive assessment index of the route, and the route is optimized according to the comprehensive assessment index of the route; The specific screening process of the GIS on the cruise ship to select a route based on historical data is as follows: Collect historical navigation data and historical ocean weather data of the route, select multiple available routes based on the historical navigation data of the route, and select the route with the largest historical ocean weather data among the multiple available routes based on the size of the historical ocean weather data of the route; The historical data includes the historical navigation data of the route and the historical ocean weather data of the route; According to the historical navigation data, multiple routes with the shortest historical navigation time, the lowest historical navigation fuel consumption rate, the highest historical navigation speed and the largest number of emergency refuge ports during navigation are selected. The geographic information system selects one or several alternative routes as the preliminary navigation plan, analyzes the preliminary navigation plan, predicts the transportation efficiency and weather impact of the route, and calculates the cruise transport assessment index and the ocean weather assessment index based on the analysis results. If the cruise transport assessment index is higher than the cruise transport assessment threshold and the ocean weather assessment index is higher than the ocean weather assessment threshold, there is no need to optimize the current route. If the cruise transport assessment index is lower than the cruise transport assessment threshold or the ocean weather assessment index is lower than the ocean weather assessment threshold, the route is optimized, including changing the route, adjusting the sailing speed, and selecting a more suitable departure time; The specific collection process of the cruise ship's geographic information system to collect cruise ship transportation data and ocean weather data for the route: Cruise ships collect cruise ship transport data of routes through geographic information systems. Cruise ship transport route data of routes include cruise ship transport sailing time, cruise ship transport speed, cruise ship load and cruise ship fuel consumption rate; The cruise ship's geographic information system collects ocean weather data of the route through meteorological satellites. The ocean weather data of the route includes the wind speed, air pressure, temperature and wave height of the route. The specific analysis process of analyzing the cruise shipping data of the route and the ocean weather data of the route is as follows: The local processor of the cruise ship analyzes the cruise transport data of the route to obtain the cruise transport assessment index of the route, and the geographic information system of the cruise ship analyzes the ocean weather data of the route to obtain the ocean weather assessment index of the route; The specific method to obtain the cruise transport assessment index of the route is: μ represents the cruise transport evaluation index of the route, sj represents the cruise transport sailing time, sj0 represents the reference value of the cruise transport sailing time, hs represents the cruise transport speed, hs0 represents the reference value of the cruise transport speed, zw represents the cruise load, zw0 represents the reference value of the cruise load, hy represents the cruise fuel consumption rate, hy0 represents the reference value of the cruise fuel consumption rate, γ represents the influence weight of the cruise transport sailing time, δ represents the influence weight of the cruise transport speed, σ represents the influence weight of the cruise load, τ represents the influence weight of the cruise fuel consumption rate, and e represents the natural constant; The specific method of the ocean weather assessment index for the route is: ρ represents the ocean weather assessment index of the route, fs represents the wind speed of the route, fs0 represents the reference value of the wind speed of the route, qy represents the air pressure of the route, qy0 represents the reference value of the air pressure of the route, wd represents the temperature of the route, wd0 represents the reference value of the temperature of the route, lg represents the wave height of the route, and lg0 represents the reference value of the wave height of the route; The specific evaluation process for the comprehensive evaluation of the cruise transport assessment index and the ocean weather assessment index of the route is as follows: Standardize the cruise ship transport assessment index and the ocean weather assessment index, determine the impact weights of the cruise ship transport assessment index and the ocean weather assessment index of the route, and conduct a comprehensive assessment to obtain the comprehensive assessment index of the route; The specific optimization process of optimizing the route according to the comprehensive evaluation index of the route is as follows: Compare the cruise ship transport assessment index and the ocean weather assessment index in the comprehensive assessment index of the route with the cruise ship transport assessment threshold and the ocean weather assessment threshold to obtain the comparison results of the cruise ship transport assessment index and the ocean weather assessment index with the cruise ship transport assessment threshold and the ocean weather assessment threshold; optimize the route or the cruise ship according to the comparison results, including opening the cruise ship's stabilizing fins, opening the cruise ship's energy recovery system and readjusting the path; conduct a comprehensive assessment on the optimized route to obtain the comprehensive assessment index of the optimized route; store the comprehensive assessment index of the optimized route in the cloud; and provide a reference for the next route according to the comprehensive assessment index of the optimized route stored in the cloud; The specific method to obtain the comprehensive evaluation index of the route is: In the formula, ε represents the comprehensive evaluation index of the route, which is used to evaluate the impact of cruise transportation and ocean weather on the route, μ represents the cruise transportation evaluation index of the route, α represents the impact weight of the cruise transportation evaluation index of the route, ρ represents the ocean weather evaluation index of the route, β represents the impact weight of the ocean weather evaluation index of the route, ΔTH represents the distance deviation between the cruise ship's sailed path and the original planned path, ΔLP represents the fuel consumption deviation between the cruise ship's sailed path and the original planned path, and ΔCV represents the wind direction angle deviation between the cruise ship's sailed path and the original planned path. It is expressed as the influence weight of the distance deviation value, fuel consumption deviation value and wind direction angle deviation value between the cruise ship's sailed path and the original planned path on the comprehensive evaluation index of the route.
2. The cruise ship transport route optimization method based on artificial intelligence according to claim 1 is characterized in that: The specific process of obtaining the cruise transport assessment threshold and the ocean weather assessment threshold is as follows: The cruise ship's geographic information system analyzes the cruise ship's historical assessment thresholds and the ocean weather historical assessment thresholds, directly extracts the cruise ship's geographic information system, tests the cruise ship's transportation assessment thresholds and the ocean weather assessment thresholds in a simulated environment, analyzes the test results, and optimizes the cruise ship's transportation assessment thresholds and the ocean weather assessment thresholds based on the test analysis results.
3. The cruise ship transport route optimization method based on artificial intelligence according to claim 1 is characterized in that: The specific judgment process of judging whether to optimize the route according to the comparison result is as follows: The cruise transport assessment index and the ocean weather assessment index of the route are compared with the cruise transport assessment threshold and the ocean weather assessment threshold respectively. If the cruise transport assessment index of the route is greater than or equal to the cruise transport assessment threshold and the ocean weather assessment index of the route is greater than or equal to the ocean weather assessment threshold, the route does not need to be optimized. In other cases, the route needs to be optimized.
4. A system for cruise ship transport route optimization method based on artificial intelligence, characterized in that: Including historical data screening module, data collection and analysis module, threshold comparison module and optimization module: Historical data screening module: used to screen a route based on historical data; Data collection and analysis module: used to collect the cruise transport data and the ocean weather data of the route, analyze the cruise transport data and the ocean weather data of the route, and obtain the cruise transport evaluation index and the ocean weather evaluation index of the route; Threshold comparison module: used to set the cruise transport assessment threshold and the ocean weather assessment threshold, compare the cruise transport assessment index and the ocean weather assessment index of the route with the cruise transport assessment threshold and the ocean weather assessment threshold respectively, and determine whether to optimize the route based on the comparison results; Optimization module: If the route does not need to be optimized, select the route for navigation; if the route needs to be optimized, conduct a comprehensive evaluation of the cruise transport evaluation index and the ocean weather evaluation index of the route to obtain the comprehensive evaluation index of the route, and optimize the route according to the comprehensive evaluation index of the route; The specific screening process of the GIS on the cruise ship to select a route based on historical data is as follows: Collect historical navigation data and historical ocean weather data of the route, select multiple available routes based on the historical navigation data of the route, and select the route with the largest historical ocean weather data among the multiple available routes based on the size of the historical ocean weather data of the route; The historical data includes the historical navigation data of the route and the historical ocean weather data of the route; According to the historical navigation data, multiple routes with the shortest historical navigation time, the lowest historical navigation fuel consumption rate, the highest historical navigation speed and the largest number of emergency refuge ports during navigation are selected. The geographic information system selects one or several alternative routes as the preliminary navigation plan, analyzes the preliminary navigation plan, predicts the transportation efficiency and weather impact of the route, and calculates the cruise transport assessment index and the ocean weather assessment index based on the analysis results. If the cruise transport assessment index is higher than the cruise transport assessment threshold and the ocean weather assessment index is higher than the ocean weather assessment threshold, there is no need to optimize the current route. If the cruise transport assessment index is lower than the cruise transport assessment threshold or the ocean weather assessment index is lower than the ocean weather assessment threshold, the route is optimized, including changing the route, adjusting the sailing speed, and selecting a more suitable departure time; The specific collection process of the cruise ship's geographic information system to collect cruise ship transportation data and ocean weather data for the route: Cruise ships collect cruise ship transport data of routes through geographic information systems. Cruise ship transport route data of routes include cruise ship transport sailing time, cruise ship transport speed, cruise ship load and cruise ship fuel consumption rate; The cruise ship's geographic information system collects ocean weather data of the route through meteorological satellites. The ocean weather data of the route includes the wind speed, air pressure, temperature and wave height of the route. The specific analysis process of analyzing the cruise shipping data of the route and the ocean weather data of the route is as follows: The local processor of the cruise ship analyzes the cruise transport data of the route to obtain the cruise transport assessment index of the route, and the geographic information system of the cruise ship analyzes the ocean weather data of the route to obtain the ocean weather assessment index of the route; The specific method to obtain the cruise transport assessment index of the route is: μ represents the cruise transport evaluation index of the route, sj represents the cruise transport sailing time, sj0 represents the reference value of the cruise transport sailing time, hs represents the cruise transport speed, hs0 represents the reference value of the cruise transport speed, zw represents the cruise load, zw0 represents the reference value of the cruise load, hy represents the cruise fuel consumption rate, hy0 represents the reference value of the cruise fuel consumption rate, γ represents the influence weight of the cruise transport sailing time, δ represents the influence weight of the cruise transport speed, σ represents the influence weight of the cruise load, τ represents the influence weight of the cruise fuel consumption rate, and e represents the natural constant; The specific method of the ocean weather assessment index for the route is: ρ represents the ocean weather assessment index of the route, fs represents the wind speed of the route, fs0 represents the reference value of the wind speed of the route, qy represents the air pressure of the route, qy0 represents the reference value of the air pressure of the route, wd represents the temperature of the route, wd0 represents the reference value of the temperature of the route, lg represents the wave height of the route, and lg0 represents the reference value of the wave height of the route; The specific evaluation process for the comprehensive evaluation of the cruise transport assessment index and the ocean weather assessment index of the route is as follows: Standardize the cruise ship transport assessment index and the ocean weather assessment index, determine the impact weights of the cruise ship transport assessment index and the ocean weather assessment index of the route, and conduct a comprehensive assessment to obtain the comprehensive assessment index of the route; The specific optimization process of optimizing the route according to the comprehensive evaluation index of the route is as follows: Compare the cruise ship transport assessment index and the ocean weather assessment index in the comprehensive assessment index of the route with the cruise ship transport assessment threshold and the ocean weather assessment threshold to obtain the comparison results of the cruise ship transport assessment index and the ocean weather assessment index with the cruise ship transport assessment threshold and the ocean weather assessment threshold; optimize the route or the cruise ship according to the comparison results, including opening the cruise ship's stabilizing fins, opening the cruise ship's energy recovery system and readjusting the path; conduct a comprehensive assessment on the optimized route to obtain the comprehensive assessment index of the optimized route; store the comprehensive assessment index of the optimized route in the cloud; and provide a reference for the next route according to the comprehensive assessment index of the optimized route stored in the cloud; The specific method to obtain the comprehensive evaluation index of the route is: In the formula, ε represents the comprehensive evaluation index of the route, which is used to evaluate the impact of cruise transportation and ocean weather on the route, μ represents the cruise transportation evaluation index of the route, α represents the impact weight of the cruise transportation evaluation index of the route, ρ represents the ocean weather evaluation index of the route, β represents the impact weight of the ocean weather evaluation index of the route, ΔTH represents the distance deviation between the cruise ship's sailed path and the original planned path, ΔLP represents the fuel consumption deviation between the cruise ship's sailed path and the original planned path, and ΔCV represents the wind direction angle deviation between the cruise ship's sailed path and the original planned path. It is expressed as the influence weight of the distance deviation value, fuel consumption deviation value and wind direction angle deviation value between the cruise ship's sailed path and the original planned path on the comprehensive evaluation index of the route.
Citation Information
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