Yacht navigation planning system and method based on big data

Abstract

The invention discloses a yacht navigation planning system and method based on big data, relates to the technical field of yacht navigation planning, and identifies the influence of yacht navigation activities on the marine environment by combining yacht navigation data of previous times and environmental data of marine ecological monitoring points corresponding to yacht navigation of previous times; identifying the influence of the yacht navigation activity on the marine organism behaviors according to the behavior mode change data of the marine organisms in different marine environments and the influence of the yacht navigation activity on the marine environments; the minimum safety distance between the yacht and a marine ecological monitoring point in the yacht navigation activity process and sewage discharge standards and navigation frequency suggestions in the yacht navigation activity are generated according to the influence of the yacht navigation activity on marine organism behaviors, then the marine meteorological data are monitored in real time, and the yacht departure time is adjusted through the marine meteorological data. By integrating multi-party data, safety, environmental protection and economic benefits in the yacht navigation process are optimized, and it is ensured that development of the yacht industry can coexist with a marine ecosystem in a harmonious mode.

Description

Technical Field

[0001] The present invention relates to the technical field of yacht navigation planning, and in particular to a yacht navigation planning system and method based on big data. Background Art

[0002] The yacht industry is showing a growth trend worldwide. With the global emphasis on environmental protection, the yacht industry is also facing strict environmental regulations and requirements.

[0003] Yacht sailing activities have certain negative impacts on the marine environment and organisms. For example, pollution emissions and noise interference change the behavior of marine organisms. Traditional sailing plans often ignore these environmental problems, leading to the destruction of the marine ecosystem. In addition, traditional yacht sailing management lacks real-time monitoring of the behavior patterns of marine organisms, resulting in irreversible interference and damage to organisms during sensitive periods of organisms (such as breeding and migration periods). At the same time, existing yacht sailing plans often do not take into account real-time meteorological changes, resulting in sailing in severe weather conditions, which not only poses risks to navigation safety, but may also further aggravate the damage to the marine environment. Unscientific sailing plans lead to energy waste, low vessel utilization, and other problems, increase operating costs, and affect the sustainable development of the yacht industry.

[0004] Therefore, in response to the above problems, a yacht navigation planning system and method based on big data is urgently needed. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a yacht navigation planning system and method based on big data, which solves the problem that yacht navigation activities have a negative impact on the marine environment and organisms. Yacht navigation causes irreversible interference and damage to organisms during sensitive periods of organisms (such as breeding season and migration season). Unscientific navigation plans may lead to energy waste, low vessel utilization, etc., increase operating costs, and affect the sustainable development of the yacht industry.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a yacht navigation planning system based on big data, including: a yacht navigation data collection and analysis module, which is used to obtain and analyze the previous yacht navigation data, and identify the impact of yacht navigation activities on the marine environment in combination with the environmental data of the marine ecological monitoring points corresponding to the previous yacht navigations; a marine biological behavior pattern monitoring module, which is used to obtain the behavior pattern change data of marine organisms in different marine environments, and then identify the impact of yacht navigation activities on the behavior of marine organisms in combination with the impact of yacht navigation activities on the marine environment; an impact analysis and navigation planning module, which is used to generate the minimum safe distance between the yacht navigation activities and the marine ecological monitoring points during the yacht navigation activities through the impact of the yacht navigation activities on the behavior of marine organisms, and generate sewage discharge standards and navigation frequency recommendations during the yacht navigation activities; a pre-voyage prediction module, which is used to monitor the marine meteorological data in real time based on the navigation frequency recommendations, and then use the marine meteorological data to adjust the departure time of the yacht.

[0007] Furthermore, the yacht voyage data specifically include the distance between the yacht voyages and the marine ecological monitoring points and the pollution emissions of the yacht voyages; the environmental data of the marine ecological monitoring points corresponding to the yacht voyages specifically include ocean noise and seawater pollutant concentrations.

[0008] Furthermore, the data of all previous yacht voyages are obtained and analyzed, and combined with the environmental data of the marine ecological monitoring points corresponding to the previous yacht voyages, the specific analysis of identifying the impact of yacht sailing activities on the marine environment is as follows: a yacht sailing data matrix is ​​constructed according to the distances between all previous yacht voyages and the marine ecological monitoring points and the pollution emissions of all previous yacht voyages; an environmental data matrix is ​​constructed according to the ocean noise and seawater pollutant concentrations of the marine ecological monitoring points corresponding to the previous yacht voyages; a linear regression analysis is performed on the yacht sailing data matrix and the environmental data matrix to obtain the impact factors of yacht sailing activities on the marine environment, and the impact factors of yacht sailing activities on the marine environment are used to quantify the impact of yacht sailing activities on the marine environment.

[0009] Furthermore, the data on changes in the behavior patterns of marine organisms in different marine environments specifically include reproduction frequency, migration frequency and stress frequency.

[0010] Furthermore, the specific analysis of obtaining the behavior pattern change data of marine organisms in different marine environments and then identifying the impact of yacht sailing activities on the behavior of marine organisms in combination with the impact of yacht sailing activities on the marine environment is as follows: constructing a behavior pattern change data matrix according to the reproduction frequency, migration frequency and stress frequency of marine organisms in different marine environments; performing linear regression analysis on the environmental data matrix and the behavior pattern change data matrix to obtain the impact factor of the marine environment on the behavior of marine organisms, and the impact factor of the marine environment on the behavior of marine organisms is used to quantify the impact of the marine environment on the behavior of marine organisms; taking the product of the impact factor of the yacht sailing activity on the marine environment and the impact factor of the marine environment on the behavior of marine organisms, to obtain the impact factor of the yacht sailing activity on the behavior of marine organisms, and the impact factor of the yacht sailing activity on the behavior of marine organisms is used to quantify the impact of the yacht sailing activity on the behavior of marine organisms.

[0011] Furthermore, the influence of yacht sailing activities on the behavior of marine organisms is used to generate the minimum safe distance between yacht sailing activities and marine ecological monitoring points, and the specific analysis of generating sewage discharge standards and navigation frequency recommendations during yacht sailing activities is as follows: obtaining the reference values ​​of reproduction frequency, migration frequency and stress frequency of marine organisms, and then combining the influencing factors of yacht sailing activities on the behavior of marine organisms to calculate the matrix of distance reference values ​​between yacht sailing and marine ecological monitoring points and reference values ​​of pollution emissions from yacht sailing; using the reference values ​​of distance between yacht sailing and marine ecological monitoring points and reference values ​​of pollution emissions from yacht sailing as the minimum safe distance between yacht sailing activities and marine ecological monitoring points and sewage discharge standards during yacht sailing activities; based on the analysis of the reference values ​​of reproduction frequency, migration frequency and stress frequency of marine organisms, the value with the largest frequency reference value is selected as the restriction to generate a navigation frequency threshold, and the navigation frequency threshold is used as the navigation frequency recommendation.

[0012] Furthermore, the specific analysis of real-time monitoring of marine meteorological data based on the navigation frequency suggestion and then using the marine meteorological data to adjust the departure time of the yacht is as follows: generating each sailing plan date based on the navigation frequency suggestion, and then conducting meteorological monitoring on each sailing plan date to obtain marine meteorological data, wherein the marine meteorological data specifically includes sea surface visibility, wave height and sea water velocity; obtaining a sea surface visibility threshold, a wave height threshold and a sea water velocity threshold, and then comparing the sea surface visibility, wave height and sea water velocity obtained by real-time monitoring with the sea surface visibility threshold, wave height threshold and sea water velocity threshold respectively; when the sea surface visibility is higher than the sea surface visibility threshold, and the wave height is lower than the wave height threshold, and the sea water velocity is lower than the sea water velocity threshold, the current sailing plan date does not need to be adjusted; when the sea surface visibility is lower than the sea surface visibility threshold, or the wave height is higher than the wave height threshold, or the sea water velocity is higher than the sea water velocity threshold, the current sailing plan date needs to be adjusted, and the departure time of the yacht is adjusted.

[0013] A yacht navigation planning method based on big data, applying the above-mentioned yacht navigation planning system based on big data, includes the following steps: obtaining and analyzing the previous yacht navigation data, combining the environmental data of the marine ecological monitoring points corresponding to the previous yacht navigation, identifying the impact of the yacht navigation activities on the marine environment; obtaining the behavior pattern change data of marine organisms under different marine environments, and then combining the impact of the yacht navigation activities on the marine environment to identify the impact of the yacht navigation activities on the behavior of marine organisms; generating the minimum safe distance between the yacht navigation activities and the marine ecological monitoring points through the impact of the yacht navigation activities on the behavior of marine organisms, and generating the sewage discharge standards and navigation frequency recommendations during the yacht navigation activities; real-time monitoring of marine meteorological data based on the navigation frequency recommendations, and then using the marine meteorological data to adjust the departure time of the yacht.

[0014] The present invention has the following beneficial effects:

[0015] This yacht navigation planning system and method based on big data collects and analyzes the impact of yacht navigation activities on the marine environment, clarifies the potential negative impact of yacht activities on the marine ecosystem, especially the behavior of marine organisms, prompts the yacht industry to pay more attention to environmental protection issues in planning and operation, and promotes the implementation of environmental protection policies; generates reasonable yacht navigation plans by monitoring the behavior patterns of marine organisms and analyzing the impact of yacht activities, ensuring that the minimum safe distance is observed during navigation, thereby reducing the disturbance and harm of yacht activities to marine organisms, especially during the reproduction, migration and stress response periods of marine organisms; based on real-time marine meteorological data, the departure time and route of the yacht can be adjusted in time to avoid Avoid sailing in adverse weather conditions, improve navigation safety, optimize resource utilization and avoid unnecessary waste; by analyzing the impact of navigation activities on the environment, it can set sewage discharge standards for different sea areas and seasons to avoid pollution and protect the marine ecology. At the same time, combined with navigation frequency recommendations, it can reduce unnecessary navigation and effectively control the generation of pollution sources; use big data to analyze historical data of yacht sailing activities, provide scientific reference and optimization suggestions, and help managers make more sustainable and environmentally friendly decisions in sailing planning; precise monitoring and data analysis can effectively avoid the irreversible damage to the marine environment and organisms caused by long-term sailing activities, and promote the sustainable development of the yacht industry.

[0016] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a structural diagram of the yacht navigation planning system based on big data of the present invention.

[0018] Figure 2This is a flow chart of the yacht navigation planning method based on big data of the present invention. DETAILED DESCRIPTION

[0019] The embodiment of the present application achieves a balance between economic and ecological benefits while promoting the development of the yacht industry through a yacht navigation planning system and method based on big data.

[0020] The overall idea of ​​the problem in the embodiment of this application is as follows:

[0021] By using big data and intelligent analysis technology, the yacht navigation data of all time and the marine ecological monitoring data are integrated and analyzed, and the impact of yacht navigation activities on the marine environment and the behavior patterns of marine organisms are monitored in real time, so as to formulate a more scientific and environmentally friendly yacht navigation plan, while ensuring the economic benefits of yacht navigation, reducing damage to the marine ecological environment and achieving sustainable development of the yacht industry.

[0022] See also Figure 1 The embodiment of the present invention provides a technical solution: a yacht navigation planning system based on big data, including: a yacht navigation data collection and analysis module, which is used to obtain and analyze the yacht navigation data of all previous yacht navigations, and identify the impact of yacht navigation activities on the marine environment in combination with the environmental data of the marine ecological monitoring points corresponding to the yacht navigations of all previous yacht navigations; a marine biological behavior pattern monitoring module, which is used to obtain the behavior pattern change data of marine organisms under different marine environments, and then identify the impact of yacht navigation activities on the behavior of marine organisms in combination with the impact of yacht navigation activities on the marine environment; an impact analysis and navigation planning module, which is used to generate the minimum safe distance between the yacht navigation activities and the marine ecological monitoring points through the impact of the yacht navigation activities on the behavior of marine organisms, and generate the sewage discharge standard and navigation frequency recommendation during the yacht navigation activities; a pre-voyage prediction module, which is used to monitor the marine meteorological data in real time based on the navigation frequency recommendation, and then use the marine meteorological data to adjust the departure time of the yacht.

[0023] Specifically, the data of all yacht voyages include the distance between all yacht voyages and the marine ecological monitoring points and the pollution emissions of all yacht voyages; the environmental data of the marine ecological monitoring points corresponding to all yacht voyages include ocean noise and seawater pollutant concentrations.

[0024] The data of yacht voyages were obtained and analyzed, and combined with the environmental data of the marine ecological monitoring points corresponding to the yacht voyages, the specific analysis to identify the impact of yacht sailing activities on the marine environment was as follows: a yacht sailing data matrix was constructed based on the distance between the yacht voyages and the marine ecological monitoring points and the pollution emissions of the yacht voyages; an environmental data matrix was constructed based on the ocean noise and seawater pollutant concentrations of the marine ecological monitoring points corresponding to the yacht voyages; a linear regression analysis was performed on the yacht sailing data matrix and the environmental data matrix to obtain the impact factors of yacht sailing activities on the marine environment, and the impact factors of yacht sailing activities on the marine environment were used to quantify the impact of yacht sailing activities on the marine environment.

[0025] In this implementation plan, the distance between yacht voyages and marine ecological monitoring points, the pollution emissions from yacht voyages, ocean noise, and seawater pollutant concentrations respectively represent the direct and indirect impacts of yacht voyage activities on the marine environment. The acquisition and analysis of these data are the basis for quantifying the impact of yachts on the environment. Specifically, the distance between yacht voyages and marine ecological monitoring points represents the physical distance between the yacht and a specific marine ecological monitoring point (usually a biologically active area, coral reef protection area, etc.) during navigation. The smaller the distance, the greater the interference of yacht activities on the marine ecology. The distance between the yacht and the monitoring point is recorded in real time through GPS positioning technology, satellite positioning system and the known location of the marine ecological monitoring point. The acquisition of the distance between yacht voyages and marine ecological monitoring points can accurately determine the intensity of the impact of yachts on specific ecological areas, especially near sensitive ecological areas, and help formulate minimum safety distances and reasonable navigation routes; the pollution emissions from yacht voyages refer to the pollutant emissions generated by the yacht during navigation, including wastewater, garbage, and oil pollution. These pollutants directly affect The quality of ocean water can be recorded by emission monitoring equipment installed on yachts, or by regularly testing the sewage and exhaust emissions of yachts during different voyages. The acquisition of pollution emissions from previous yacht voyages can quantify the degree of pollution of ocean water quality caused by yacht activities, help set emission standards, and reduce environmental pollution. Ocean noise refers to the degree of interference of mechanical noise and vibration emitted by yachts during navigation on marine life, especially the impact on marine mammals. It is collected by underwater noise sensors at marine ecological monitoring points and records the noise level when yachts pass by. The acquisition of ocean noise helps to analyze the impact of noise on the behavior of marine life, especially key behaviors such as reproduction, foraging, and migration. The concentration of seawater pollutants refers to the change in the concentration of pollutants in seawater at marine ecological monitoring points, which is related to the emissions generated by yacht activities. The water quality testing equipment at marine ecological monitoring points can be used to collect water samples regularly or in real time to test the concentration of pollutants. The acquisition of seawater pollutant concentrations can directly reflect the impact of yacht activities on ocean water quality, quantify water quality changes, and help adjust sewage discharge standards and frequencies.

[0026] The yacht navigation data matrix is ​​as follows: where di represents the distance between the ith yacht voyage and the marine ecological monitoring point, p i represents the pollution emission of the i-th yacht voyage, and n represents the total number of historical yacht voyages; the environmental data matrix is ​​specifically: where a i represents the ocean noise of the marine ecological monitoring point corresponding to the i-th yacht voyage, b i represents the concentration of seawater pollutants at the marine ecological monitoring point corresponding to the i-th yacht voyage. The yacht voyage data matrix and the environmental data matrix are analyzed by linear regression to obtain the relationship model between yacht voyage activities and the marine environment: Y = X*β+∈, where β represents the matrix of factors affecting the marine environment, ∈ represents the error term, which represents the difference between the model prediction value and the actual observation value, reflecting the part that the model cannot explain. The matrix of factors affecting the marine environment by yacht voyage activities is transposed to obtain the factors affecting the marine environment by yacht voyage activities. The specific factors affecting the marine environment by yacht voyage activities are: In the formula represents the impact factor of yacht sailing activities on the marine environment, and T represents the transpose of the matrix.

[0027] By collecting accurate data, we can quantitatively analyze the impact of yacht activities on the marine ecology and help formulate accurate navigation plans; by constructing a yacht navigation data matrix and an environmental data matrix and using a linear regression model for analysis, we can obtain the impact factors of yacht navigation activities on the marine environment, quantify the impact of yachts on marine noise and water pollution, and help formulate more accurate environmental protection measures.

[0028] Specifically, the data on changes in the behavioral patterns of marine organisms in different marine environments include reproduction frequency, migration frequency and stress frequency.

[0029] The data on the changes in the behavior patterns of marine organisms under different marine environments are obtained, and then the impact of yacht sailing activities on the marine environment is combined to identify the specific analysis of the impact of yacht sailing activities on the behavior of marine organisms: construct a behavior pattern change data matrix based on the reproduction frequency, migration frequency and stress frequency of marine organisms in different marine environments; perform linear regression analysis on the environmental data matrix and the behavior pattern change data matrix to obtain the influencing factors of the marine environment on the behavior of marine organisms, and the influencing factors of the marine environment on the behavior of marine organisms are used to quantify the impact of the marine environment on the behavior of marine organisms; take the product of the influencing factors of yacht sailing activities on the marine environment and the influencing factors of the marine environment on the behavior of marine organisms, and obtain the influencing factors of yacht sailing activities on the behavior of marine organisms, and the influencing factors of yacht sailing activities on the behavior of marine organisms are used to quantify the impact of yacht sailing activities on the behavior of marine organisms.

[0030] In this implementation plan, the reproduction frequency, migration frequency and stress frequency respectively represent the behavior patterns of marine organisms in a specific environment. The changes in these behavior patterns are closely related to yacht navigation activities and changes in the marine environment. The acquisition and analysis of data can quantify the specific impact of yacht navigation activities on the behavior of marine organisms. The specific reproduction frequency refers to the number of reproduction behaviors of marine organisms in a certain period of time. This frequency is affected by environmental temperature, water quality and noise. The reproduction behavior of marine organisms is recorded through long-term monitoring of the breeding season, breeding success rate and number of breeding individuals, combined with field monitoring, acoustic equipment and underwater camera technology; the migration frequency refers to the migration of marine organisms at different times. The frequency of migration, such as seasonal migration and non-seasonal migration due to environmental changes, is usually related to environmental factors such as water temperature, ocean currents, and food supply. The migration paths and frequencies of marine organisms are recorded through satellite tracking, biomarkers (such as GPS tags), and acoustic positioning technology. The stress frequency refers to the frequency of stress responses of marine organisms to external interference (such as noise, pollutants, etc.) under specific environmental conditions. The stress frequency reflects the intensity of the response of organisms to adverse environmental factors. Stress response data are obtained by monitoring physiological indicators (such as heart rate, respiratory rate), observing behavioral responses (such as escape, hiding), and combining underwater sound monitoring equipment and other sensors.

[0031] The monitoring of marine life requires the selection of representative species for monitoring. The selection of representative species is based on key species in the ecosystem, species that are greatly affected by yacht activities, or indicator species that can reflect the health status of the marine ecosystem. The specific selection can be ecological key species, which play an important role in the ecosystem, such as top predators or key nodes in the food chain. Endangered or threatened species, or species that are sensitive to environmental changes can also be selected.

[0032] The behavior pattern change data matrix is ​​as follows: Among them, r i represents the reproduction frequency of marine organisms in the i-th marine environment, m i represents the migration frequency of marine organisms in the i-th marine environment, s i represents the stress frequency of marine organisms in the i-th marine environment. The behavior pattern change data matrix and the environmental data matrix are analyzed by linear regression to obtain the relationship model between yacht navigation activities and the marine environment: B = Y*γ + φ, where γ represents the matrix of factors affecting the behavior of marine organisms by the marine environment, and φ is the error term representing the difference between the model prediction value and the actual observation value, reflecting the part that the model cannot explain. The matrix of factors affecting the behavior of marine organisms by the marine environment is transposed to obtain the factors affecting the behavior of marine organisms by the marine environment. The specific factors affecting the behavior of marine organisms by the marine environment are: The influencing factors of yacht sailing activities on the behavior of marine organisms are: Through the linear regression model, we first calculate the impact factor of the environment on biological behavior, and then combine it with the impact factor of the yacht on the environment to obtain the comprehensive impact factor of yacht activities on biological behavior. This can quantify the specific impact of yacht navigation activities on the behavior of marine organisms and guide more reasonable navigation planning and environmental protection measures.

[0033] Specifically, the influence of yacht sailing activities on the behavior of marine organisms is used to generate the minimum safe distance between yacht sailing and marine ecological monitoring points during yacht sailing activities, and the specific analysis of generating sewage discharge standards and sailing frequency recommendations during yacht sailing activities is as follows: obtaining the reference values ​​of reproduction frequency, migration frequency and stress frequency of marine organisms, and then combining the influencing factors of yacht sailing activities on the behavior of marine organisms to calculate the matrix of distance reference values ​​between yacht sailing and marine ecological monitoring points and reference values ​​of pollution emissions from yacht sailing; using the reference values ​​of distance between yacht sailing and marine ecological monitoring points and reference values ​​of pollution emissions from yacht sailing as the minimum safe distance between yacht sailing and marine ecological monitoring points during yacht sailing activities and sewage discharge standards during yacht sailing activities; based on the analysis of the reference values ​​of reproduction frequency, migration frequency and stress frequency of marine organisms, the value with the largest frequency reference value is selected as the restriction to generate a sailing frequency threshold, and the sailing frequency threshold is used as the sailing frequency recommendation.

[0034] In this implementation scheme, the reproduction frequency reference value is to record the reproduction cycle or frequency of specific marine organisms in different marine environments; the migration frequency reference value is to record the migration pattern of marine organisms, including the frequency and cycle of migration; the stress frequency reference value is to record the behavior frequency of marine organisms under different environmental stresses.

[0035] The navigation frequency threshold specifically selects the maximum value from the reproduction frequency, migration frequency and stress frequency as the limit. A specific example is: assuming that the behavior pattern of a fish is being analyzed, the reference value of the reproduction frequency is 2 times / year, the reference value of the migration frequency is 1 time / year, and the reference value of the stress frequency is 3 times / year, which means that the frequency of navigation activities should not exceed 3 times per year to avoid adverse effects on marine life.

[0036] The specific calculation of the minimum safety distance can be expressed as: Where D is the minimum safe distance, k is a constant used to adjust the result to meet safety standards, and B ′ is the reference value of reproduction frequency, migration frequency and stress frequency of marine organisms, μ is the impact factor of yacht navigation activities on the behavior of marine organisms; the specific calculation of sewage discharge standards can be expressed as: Where F represents the sewage discharge standard, F ′ It represents the reference value of yacht navigation pollution emissions.

[0037] Specifically, it is recommended to monitor the marine meteorological data in real time based on the navigation frequency, and then use the marine meteorological data to adjust the departure time of the yacht. The specific analysis is as follows: generate each navigation plan date based on the navigation frequency recommendation, and then conduct meteorological monitoring on each navigation plan date to obtain marine meteorological data, which specifically includes sea surface visibility, wave height and sea water flow velocity; obtain the sea surface visibility threshold, wave height threshold and sea water flow velocity threshold, and then compare the sea surface visibility, wave height and sea water flow velocity obtained by real-time monitoring with the sea surface visibility threshold, wave height threshold and sea water flow velocity threshold respectively. When the sea surface visibility is higher than the sea surface visibility threshold, and the wave height is lower than the wave height threshold, and the sea water flow velocity is lower than the sea water flow velocity threshold, the current navigation plan date does not need to be adjusted. When the sea surface visibility is lower than the sea surface visibility threshold, or the wave height is higher than the wave height threshold, or the sea water flow velocity is higher than the sea water flow velocity threshold, the current navigation plan date needs to be adjusted, and the departure time of the yacht is adjusted.

[0038] In this implementation scheme, sea surface visibility is obtained through sensors on meteorological satellites, meteorological buoys or ocean observation platforms. The equipment will be equipped with laser rangefinders or optical sensors to measure visibility, that is, the distance from the observation point to the target point; wave height is measured by ocean buoys, satellite remote sensing or special wave monitoring instruments. The buoys are usually equipped with wave sensors that can monitor the height and period of waves in real time; seawater flow velocity is obtained using ocean current meters (such as ADCP-Acoustic Doppler Current Profilers), which can measure the speed and direction of water flow and are usually installed on buoys, ships or ocean monitoring platforms; the sea surface visibility threshold is set based on historical meteorological data and safety standards, and a safe visibility threshold can be determined by analyzing historical marine meteorological data and actual navigation accident records; the wave height threshold is set by studying historical wave height data, navigation records and the advice of meteorological experts, taking into account the design specifications and operating safety standards of the yacht; the seawater flow velocity threshold is set according to the design specifications and operating restrictions of the yacht, and can also refer to historical data on ocean flow velocity and expert safety advice.

[0039] By real-time monitoring and adjusting the navigation plan, we can avoid sailing under bad weather conditions, thereby reducing the risk of accidents. Optimizing the departure time can improve the smoothness and comfort of the voyage and reduce turbulence caused by bad weather. By reasonably arranging the departure time, we can save fuel and operating costs.

[0040] See also Figure 2, a yacht navigation planning method based on big data, applying the above-mentioned yacht navigation planning system based on big data, includes the following steps: obtaining and analyzing the data of previous yacht navigation, combining the environmental data of the marine ecological monitoring points corresponding to the previous yacht navigation, identifying the impact of yacht navigation activities on the marine environment; obtaining the behavior pattern change data of marine organisms in different marine environments, and then combining the impact of yacht navigation activities on the marine environment to identify the impact of yacht navigation activities on the behavior of marine organisms; generating the minimum safe distance between the yacht navigation activities and the marine ecological monitoring points through the impact of the yacht navigation activities on the behavior of marine organisms, and generating the sewage discharge standard and navigation frequency recommendation during the yacht navigation activities; real-time monitoring of marine meteorological data based on the navigation frequency recommendation, and then using the marine meteorological data to adjust the departure time of the yacht.

[0041] In summary, this application has at least the following effects:

[0042] By combining yacht navigation data with environmental data from marine ecological monitoring points, the impact of yacht activities on the marine environment can be accurately assessed, helping to identify and mitigate negative impacts; by analyzing the impact of yacht navigation on the marine ecology, scientific navigation regulations can be formulated, such as minimum safe distances and sewage discharge standards, thereby reducing interference with marine life and the environment; adjusting navigation frequencies according to the behavioral patterns and ecological status of marine life to avoid excessive interference during critical periods helps protect the reproduction and foraging behavior of marine life; using marine meteorological data and navigation frequency recommendations, the departure time of yachts can be predicted and adjusted in real time to avoid adverse weather conditions and improve navigation safety and efficiency; setting and implementing environmental protection standards has enhanced the yacht industry's attention to and practice of environmental protection, helped shape the corporate social responsibility image, ensured that yacht activities comply with environmental protection laws and regulations, and promoted the sustainable development of the industry.

[0043] It should be understood by those skilled in the art that the embodiments of the present invention may be provided as methods and systems. 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 codes.

[0044] The present invention is described with reference to the flowcharts and structure diagrams of the methods and systems according to the embodiments of the present invention. It should be understood that each process and combination of modules in the flowcharts and structure diagrams 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 flowcharts. Figure 1 process or multiple processes and structures Figure 1 A device that specifies functionality in a module or modules.

[0045] 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 process or multiple processes and structures Figure 1 A function specified in a module or multiple modules.

[0046] 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. Figure 1 process or multiple processes and structures Figure 1 Steps to specify functionality in a module or multiple modules.

[0047] 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.

[0048] 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. Yacht navigation planning system based on big data, characterized by: include: The yacht navigation data collection and analysis module is used to obtain and analyze the yacht navigation data of all previous times, and identify the impact of yacht navigation activities on the marine environment by combining the environmental data of the marine ecological monitoring points corresponding to all previous yacht navigations; The marine life behavior pattern monitoring module is used to obtain the behavior pattern change data of marine life in different marine environments, and then identify the impact of yacht sailing activities on the behavior of marine life in combination with the impact of yacht sailing activities on the marine environment; Impact analysis and navigation planning module, which is used to generate the minimum safe distance between yacht navigation activities and marine ecological monitoring points through the impact of yacht navigation activities on the behavior of marine organisms, and to generate sewage discharge standards and navigation frequency recommendations during yacht navigation activities; The pre-voyage prediction module is used to monitor the marine meteorological data in real time based on the navigation frequency suggestions, and then use the marine meteorological data to adjust the yacht departure time.

2. The yacht navigation planning system based on big data according to claim 1 is characterized in that: The yacht voyage data specifically include the distance between the yacht voyage and the marine ecological monitoring point and the pollution emissions of the yacht voyage; The environmental data of the marine ecological monitoring points corresponding to each yacht voyage specifically include ocean noise and seawater pollutant concentration.

3. The yacht navigation planning system based on big data according to claim 2 is characterized in that: Obtain and analyze the yacht navigation data, and combine the environmental data of the marine ecological monitoring points corresponding to the yacht navigation to identify the specific analysis of the impact of yacht navigation activities on the marine environment: The yacht navigation data matrix was constructed based on the distance between each yacht navigation and the marine ecological monitoring point and the pollution emissions from each yacht navigation. An environmental data matrix was constructed based on the ocean noise and seawater pollutant concentrations at the marine ecological monitoring points corresponding to each yacht voyage; Linear regression analysis is performed on the yacht navigation data matrix and the environmental data matrix to obtain the impact factors of yacht navigation activities on the marine environment. The impact factors of yacht navigation activities on the marine environment are used to quantify the impact of yacht navigation activities on the marine environment.

4. The yacht navigation planning system based on big data according to claim 1 is characterized in that: The data on changes in the behavior patterns of marine organisms in different marine environments specifically include reproduction frequency, migration frequency and stress frequency.

5. The yacht navigation planning system based on big data according to claim 4 is characterized in that: The specific analysis of obtaining the behavior pattern change data of marine organisms in different marine environments and then identifying the impact of yacht sailing activities on the marine environment is as follows: Construct a data matrix of behavioral pattern changes based on the reproduction frequency, migration frequency and stress frequency of marine organisms in different marine environments; Performing linear regression analysis on the environmental data matrix and the behavior pattern change data matrix to obtain the influence factor of the marine environment on the behavior of marine organisms, wherein the influence factor of the marine environment on the behavior of marine organisms is used to quantify the influence of the marine environment on the behavior of marine organisms; The product of the impact factor of yacht sailing activities on the marine environment and the impact factor of the marine environment on the behavior of marine organisms is taken to obtain the impact factor of yacht sailing activities on the behavior of marine organisms, and the impact factor of yacht sailing activities on the behavior of marine organisms is used to quantify the impact of yacht sailing activities on the behavior of marine organisms.

6. The yacht navigation planning system based on big data according to claim 5 is characterized in that: The impact of yacht navigation on the behavior of marine organisms is used to generate the minimum safe distance between yacht navigation and marine ecological monitoring points, and the specific analysis of the sewage discharge standards and navigation frequency recommendations during yacht navigation is as follows: Obtain the reference values ​​of reproduction frequency, migration frequency and stress frequency of marine organisms, and then calculate the matrix of reference values ​​of the distance between yacht navigation and marine ecological monitoring points and the reference values ​​of yacht navigation pollution emissions based on the factors affecting the behavior of marine organisms; The reference value of the distance between yacht navigation and marine ecological monitoring points and the reference value of pollution emissions from yacht navigation are used as the minimum safe distance between yacht navigation and marine ecological monitoring points and the sewage discharge standard during yacht navigation activities; Based on the analysis of the reproduction frequency reference value, migration frequency reference value and stress frequency reference value of marine organisms, the maximum frequency reference value is selected as the limit to generate the navigation frequency threshold, and the navigation frequency threshold is used as the navigation frequency recommendation.

7. The yacht navigation planning system based on big data according to claim 1 is characterized in that: Based on the navigation frequency, it is recommended to monitor the marine meteorological data in real time, and then use the marine meteorological data to adjust the yacht departure time. The specific analysis is as follows: Generate each sailing plan date based on the sailing frequency suggestion, and then perform meteorological monitoring on each sailing plan date to obtain marine meteorological data, wherein the marine meteorological data specifically includes sea surface visibility, wave height and seawater flow velocity; The sea surface visibility threshold, wave height threshold and sea water flow velocity threshold are obtained, and then the sea surface visibility, wave height and sea water flow velocity obtained by real-time monitoring are compared with the sea surface visibility threshold, wave height threshold and sea water flow velocity threshold respectively. When the sea surface visibility is higher than the sea surface visibility threshold, and the wave height is lower than the wave height threshold, and the sea water flow velocity is lower than the sea water flow velocity threshold, the current sailing plan date does not need to be adjusted. When the sea surface visibility is lower than the sea surface visibility threshold, or the wave height is higher than the wave height threshold, or the sea water flow velocity is higher than the sea water flow velocity threshold, the current sailing plan date needs to be adjusted, and the departure time of the yacht is adjusted.

8. A yacht navigation planning method based on big data, using the yacht navigation planning system based on big data as described in any one of claims 1 to 7, characterized in that: The following steps are involved: Obtain and analyze the data of yacht voyages, and identify the impact of yacht voyage activities on the marine environment by combining the environmental data of the marine ecological monitoring points corresponding to the yacht voyages; Obtain data on changes in the behavior patterns of marine organisms in different marine environments, and then identify the impact of yacht sailing activities on the behavior of marine organisms in combination with the impact of yacht sailing activities on the marine environment; The influence of yachting activities on the behavior of marine organisms is used to generate the minimum safe distance between yachting activities and marine ecological monitoring points, and to generate sewage discharge standards and navigation frequency recommendations during yachting activities; Based on the navigation frequency, it is recommended to monitor the marine meteorological data in real time, and then use the marine meteorological data to adjust the departure time of the yacht.

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