Analysis system and method based on marine economic operation monitoring data

By generating portraits of ships and sea areas, calculating matching degrees, and providing route improvement suggestions, the problem that the existing technology cannot effectively evaluate the impact of ships on multiple sea areas, and effectively evaluate and reduce the impact on sea areas.

CN119417043AInactive Publication Date: 2025-02-11SHANDONG MARINE RESOURCE AND ENVIRONMENT RESEARCH INSTITUTE (SHANDONG MARINE ENVIRONMENTAL MONITORING CENTER SHANDONG AQUATIC PRODUCTS QUALITY INSPECTION CENTER) +1
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Patent Information

Application Number
CN202411537249.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-31
Publication Date
2025-02-11
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The prior art cannot effectively evaluate the various influencing factors caused by ships passing through multiple sea areas and cannot meet actual needs.

Method used

By obtaining basic information and environmental impact information of the ship, combining the characteristics of the sea area, a portrait of the ship and the sea area is generated, and the matching degree is calculated to obtain route improvement suggestions.

Benefits of technology

An effective assessment of the impact of ships passing through multiple seas was achieved, and recommendations for route improvement were provided to help reduce negative impacts on seas.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention provides an analysis system and method based on marine economic operation monitoring data, and belongs to the technical field of marine data analysis. Portraying the first steamship and the plurality of first passing sea areas from two aspects of environmental influence and biological influence which are brought to the passed sea areas when the steamship passes, and depicting the first steamship portraits from two dimensions of first basic information and first environmental influence information, the first sea area portraits are depicted from two dimensions which are susceptible to environmental pollution and biological pollution, and finally, according to the first ship portraits, the multiple first sea area portraits and the first route information, a first matching degree between the first ship and each first passing sea area is obtained, so that an adjustment suggestion is given to the first route.
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Description

Technical Field

[0001] The present invention belongs to the technical field of marine data analysis, and in particular relates to an analysis system and method based on marine economic operation monitoring data. Background Art

[0002] When a ship travels along a predetermined route, it may cause physical, chemical, biological, economic and social impacts on the sea area it passes through. Existing technologies cannot effectively evaluate the various impact factors caused by ships passing through multiple sea areas, which shows that the existing ocean data analysis methods cannot meet actual needs. Summary of the invention

[0003] The purpose of the present invention is to provide an analysis system and method based on marine economic operation monitoring data to solve the technical problem in the prior art that it is impossible to effectively evaluate various influencing factors caused by ships passing through multiple sea areas.

[0004] An analysis method based on marine economic operation monitoring data, the method comprising:

[0005] S1: obtaining a first route to be traveled by a first ship, and determining a plurality of first passing sea areas according to a first degree of overlap between the first route and a plurality of first ocean areas;

[0006] S2: determining a first ship portrait according to the first basic information and the first environmental impact information of the first ship;

[0007] The first basic information includes the first historical noise generation amount, the first historical oil leakage information, the first historical exhaust gas emission amount and the first maintenance information of the first ship;

[0008] The first environmental impact information includes a first sediment disturbance amount, a first ballast water storage amount, and a first hull biological attachment amount;

[0009] S3: determining a plurality of first sea area portraits according to a plurality of first characteristic information of the first sailed sea areas;

[0010] The first characteristic information includes a first environmental pollution tolerance threshold, a shallowest disturbance depth, an average sediment production amount and a first repulsive organism mapping relationship corresponding to each of the first passing sea areas;

[0011] S4: Obtain multiple first matching degrees according to the first ship portrait, the first route and the multiple first sea area portraits, and obtain first route improvement suggestions according to the multiple first matching degrees.

[0012] Preferably, S1 comprises the following sub-steps:

[0013] S11: acquiring the first route according to the departure place and destination of the first ship in the first navigation operation task;

[0014] S12: determining a plurality of first coordinate points at a first preset distance on the first route, and obtaining a first coordinate point set according to the plurality of first coordinate points;

[0015] S13: Determine the first ocean area that overlaps with the first coordinate point set as a first passing sea area, thereby obtaining a plurality of the first passing sea areas.

[0016] Preferably, S2 comprises the following sub-steps:

[0017] S21: determining a first ship sub-portrait according to first basic information of the first ship;

[0018] S22: determining a second ship sub-portrait according to the first environmental impact information of the first ship;

[0019] S23: Obtain the first ship portrait according to the first ship sub-portrait and the second ship sub-portrait.

[0020] Preferably, the S21 includes the following sub-steps:

[0021] S211: Acquire the first historical noise generation amount, the first historical oil leakage information, and the first historical exhaust gas emission amount of the first ship;

[0022] S212: Acquire first maintenance information of the first ship within a preset historical time interval;

[0023] S213: determining the first historical noise generation amount, the first historical oil leakage information, the first historical exhaust gas emission amount, and the first maintenance information as the first basic information;

[0024] S214: Input the first basic information into the first ship sub-portrait database for similarity matching, and determine the ship sub-portrait with the highest similarity as the first ship sub-portrait.

[0025] Preferably, the S22 comprises the following sub-steps:

[0026] S221: Obtaining a first sediment disturbance amount, a first ballast water storage amount, and a first hull biological attachment amount of the first ship;

[0027] S222: obtaining the first environmental impact information according to the first sediment disturbance amount, the first ballast water storage amount, and the first hull biological attachment amount of the first ship;

[0028] S223: Input the first environmental impact information into the second ship sub-portrait database for similarity matching, and determine the ship sub-portrait with the highest similarity as the second ship sub-portrait.

[0029] Preferably, S3 includes the following sub-steps:

[0030] S31: Obtaining a first environmental pollution tolerance threshold for each of the first sea areas passed through;

[0031] S32: Obtaining the shallowest disturbed depth and average sediment generation of each of the first passing sea areas;

[0032] S33: acquiring a first biological population of each of the first passing sea areas, and determining a first repulsive biological mapping relationship according to the first biological population;

[0033] S34: Obtain first characteristic information of the first passed sea area according to the first environmental pollution tolerance threshold, the shallowest disturbed depth, the average sediment production and the first repulsive biological mapping relationship corresponding to each of the first passed sea areas, and determine multiple first sea area portraits based on multiple first characteristic information.

[0034] Preferably, the S4 comprises the following sub-steps:

[0035] S41: inputting the first ship portrait and the plurality of first sea area portraits into a first environment matching degree determination model one by one to obtain a plurality of first environment matching degrees;

[0036] S42: for each of the first passed sea areas, determining a first preceding passed sea area according to the first route;

[0037] S43: inputting the first sea area passed by, the first preceding sea area passed by, and the first repulsive organism mapping relationship corresponding to the first sea area passed by into a first sea area matching degree determination model to obtain a first sea area matching degree;

[0038] S44: Obtaining a first matching degree between the first ship and each of the first passing sea areas according to the first environment matching degree and the first sea area matching degree;

[0039] S45: Determine a first route improvement suggestion according to the plurality of first matching degrees.

[0040] This application also proposes an analysis system based on marine economic operation monitoring data, which is used to implement the above-mentioned analysis method based on marine economic operation monitoring data.

[0041] The application proposes an analysis system and method based on marine economic operation monitoring data, which takes the multiple entrances and exits corresponding to each urban rail station as analysis targets, generates multiple first building portraits according to the multiple first buildings corresponding to each first entrance and exit, and obtains multiple first entrance and exit portraits according to the multiple first building portraits, and obtains the first lighting control strategy in combination with the historical travel patterns of the first entrance and exit. In addition, the first air-conditioning control strategy is obtained based on the multiple first entrance and exit portraits and the comparison of the clothing of passengers when getting on and off the train, so as to integrate the first lighting control strategy and the first air-conditioning control strategy in the dimension of time interval to obtain the first urban rail energy-saving adjustment strategy. Through the technical solution of the application, the lighting strategy and air-conditioning operation strategy in the urban rail station can be made more in line with the actual needs of users, thereby effectively reducing the energy consumption of the urban rail station. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the implementation methods of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the implementation methods or the description of the prior art. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other implementation drawings can be derived from the provided drawings without creative work.

[0043] Figure 1 It is an execution flow chart of an analysis method based on marine economic operation monitoring data of the present invention.

[0044] Figure 2 It is a schematic diagram of a first ship passing through a plurality of first passing sea areas in the present invention. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments, wherein the illustrative embodiments and descriptions are only used to explain the present invention but are not intended to limit the present invention.

[0047] The following is a detailed description of an analysis system and method based on marine economic operation monitoring data of the present invention.

[0048] This embodiment proposes an analysis method based on marine economic operation monitoring data. The method flow is as follows: Figure 1As shown, the specific steps include:

[0049] S1: Obtain a first route for a first ship to travel, and determine a plurality of first passing sea areas according to a first degree of overlap between the first route and a plurality of first ocean areas.

[0050] The first route refers to the navigation route that the first ship needs to travel from the departure point to the destination. Among the multiple first ocean areas that the first route passes through, each of the first ocean areas may show relatively high sensitivity in different aspects, such as physical impact, chemical impact, biological impact or socio-economic impact. In order to evaluate the potential impact of the first ship on multiple first ocean areas, it is necessary to determine the multiple ocean areas that the first route passes through in this step.

[0051] Preferably, the plurality of the first marine areas may be divided according to designated legal conventions, and the dimensions of the division may include inland seas, territorial waters, contiguous zones, exclusive economic zones, continental shelves, international navigation straits, archipelagic waters, high seas and international seabed areas.

[0052] The S1 comprises the following sub-steps:

[0053] S11: Acquire the first route according to the departure place and destination of the first ship in the first navigation operation task.

[0054] S12: On the first route, determine a plurality of first coordinate points at a first preset distance, and obtain a first coordinate point set based on the plurality of first coordinate points.

[0055] See also Figure 2 In order to determine the first plurality of ocean areas that the first route passes through, a plurality of first coordinate points may be determined on the first route at the first preset distance. Thus, a plurality of first passing sea areas may be determined using the overlap between the first plurality of coordinate points and the first plurality of ocean areas.

[0056] S13: Determine the first ocean area that overlaps with the first coordinate point set as a first passing sea area, thereby obtaining a plurality of the first passing sea areas.

[0057] Each of the first ocean areas corresponds to a first coordinate range. In this step, the first ocean area that overlaps with the first coordinate point set is determined as the first passing sea area.

[0058] S2: Determine a first ship portrait according to the first basic information and the first environmental impact information of the first ship.

[0059] This step is mainly used to depict various impacts brought by the first ship passing through the sea area, so as to obtain a portrait of the first ship.

[0060] The S2 comprises the following sub-steps:

[0061] S21: Determine a first ship sub-portrait according to the first basic information of the first ship.

[0062] The first basic information includes the noise generation, oil leakage history, exhaust gas emissions and historical maintenance information of the first ship.

[0063] The S21 includes the following sub-steps:

[0064] S211: Obtain the first historical noise generation amount, the first historical oil leakage information, and the first historical exhaust gas emission amount of the first ship.

[0065] The first historical noise generation amount, the first historical oil leakage information, and the first historical exhaust gas emission amount refer to the noise data, oil leakage history, and exhaust gas emission amount generated by the first ship within a preset historical time period.

[0066] S212: Obtaining first maintenance information of the first ship within a preset historical time interval.

[0067] The first maintenance information includes an average maintenance cycle and maintenance items of the first ship within the preset historical time interval.

[0068] S213: Determine the first historical noise generation amount, the first historical oil leakage information, the first historical exhaust gas emission amount and the first maintenance information as the first basic information.

[0069] Preferably, the first basic information may be simply determined as a union of the first historical noise generation amount, the first historical oil leakage information, the first historical exhaust emission amount and the first maintenance information.

[0070] Preferably, appropriate weights may be assigned to the first historical noise generation, the first historical oil leakage information, the first historical exhaust gas emission and the first maintenance information to obtain the first basic information. For example, the weights of the above four factors may be determined according to the quality of the first maintenance information. When the first maintenance information shows that the first ship has been well maintained, the first maintenance information may be assigned a smaller weight. When the first maintenance information shows that the first ship has not been maintained according to the specified cycle and the received maintenance items are all serious, the first maintenance information should be assigned a higher weight.

[0071] S214: Input the first basic information into the first ship sub-portrait database for similarity matching, and determine the ship sub-portrait with the highest similarity as the first ship sub-portrait.

[0072] The first ship sub-portrait database is composed of first data items corresponding to a plurality of ships, each of the first data items comprises a first mapping relationship, and the first mapping relationship comprises a correspondence between basic information of a ship and the corresponding ship sub-portrait.

[0073] In this step, the first basic information of the first ship is matched with the basic information in each of the first data items in the first ship sub-portrait database for similarity, and the ship sub-portrait in the first data item with the highest similarity is determined as the first ship sub-portrait.

[0074] Preferably, the first ship sub-portrait may be adaptively adjusted according to the first basic information and the basic information in the first data item with the highest similarity. Specific adjustment methods include adding or removing tags in the portrait and adjusting the weight of the tags.

[0075] S22: Determine a second ship sub-portrait according to the first environmental impact information of the first ship.

[0076] The first environmental impact information includes relevant information on sediment disturbance, ballast water discharge, hull biological adhesion and other issues that may be caused by the first ship during its travel.

[0077] The S22 comprises the following sub-steps:

[0078] S221: Obtain a first sediment disturbance amount, a first ballast water storage amount, and a first hull biological attachment amount of the first ship.

[0079] The first sediment disturbance refers to the change in water quality caused by the stirring of the seabed by ships during navigation. If the water quality changes too much, it may affect the ecological balance of the corresponding marine area.

[0080] The first sediment disturbance amount includes the shallowest disturbance depth and the average sediment generation amount corresponding to the first ship. When the depth of the sea area where the first ship is traveling is less than the shallowest disturbance depth, it will cause the stirring of the seabed sediments, thereby causing the water quality environment change equivalent to the average sediment generation amount.

[0081] The first ballast water storage volume refers to the ballast water stored at the bottom of the first ship to ensure the balance of the hull during the voyage. The stored ballast water will be dynamically released and filled with the voyage of the ship, so it is possible to release organisms in the first sea area into the second sea area, thereby causing biological invasion and affecting the marine environment. The environmental pollution pattern caused by the biological invasion is positively correlated with the first ballast water storage volume.

[0082] The amount of biological attachment on the first hull is related to the material used for the first ship, and is the amount of biological attachment per unit area on the hull. If marine organisms in the first sea area attach to the hull, the marine organisms will be brought to the second sea area during the navigation process of the first ship, thereby causing environmental pollution such as biological invasion.

[0083] S222: Obtain the first environmental impact information according to the first sediment disturbance amount, the first ballast water storage amount, and the first hull biological attachment amount of the first ship.

[0084] The first environmental impact information consists of a first sediment disturbance amount, a first ballast water storage amount, and a first hull biological attachment amount of the first ship.

[0085] Preferably, the first environmental impact information can be assigned corresponding weights according to the deviation values ​​of the first sediment disturbance amount, the first ballast water storage amount, and the first hull biological attachment amount from the corresponding average values, thereby constituting the first environmental impact information.

[0086] S223: Input the first environmental impact information into the second ship sub-portrait database for similarity matching, and determine the ship sub-portrait with the highest similarity as the second ship sub-portrait.

[0087] The second ship sub-portrait database is composed of second data items corresponding to a plurality of ships, each of the second data items comprises a second mapping relationship, and the second mapping relationship comprises a correspondence between basic information of a ship and the corresponding ship sub-portrait.

[0088] In this step, the first environmental impact information of the first ship is matched with the environmental impact information in each of the second data items in the second ship sub-portrait database for similarity, and the ship sub-portrait in the second data item with the highest similarity is determined as the second ship sub-portrait.

[0089] Preferably, the second ship sub-portrait may be adaptively adjusted according to the first environmental impact information and the environmental impact information in the second data item with the highest similarity. Specific adjustment methods include adding or removing tags in the portrait and adjusting the weight of the tags.

[0090] S23: Obtain the first ship portrait according to the first ship sub-portrait and the second ship sub-portrait.

[0091] The first ship sub-portrait and the second ship sub-portrait respectively represent the impact of the first ship on the natural environment and the biological environment when passing through the sea area.

[0092] In this step, the labels in the first ship sub-portrait and the second ship sub-portrait may be combined to obtain the first ship portrait.

[0093] Preferably, a corresponding weight may be set for each tag according to specific needs, so that a plurality of tags and corresponding weight information are combined to form the first ship portrait.

[0094] S3: Determine a plurality of first sea area portraits according to a plurality of first characteristic information of the first sailed sea areas.

[0095] In S2, the first ship portrait for characterizing the impact on the natural environment and biological environment of the passing sea area is determined for the first ship. The first ships with different characteristics may have different impacts on the first sea areas with different characteristics, so in this step, it is also necessary to determine a plurality of first sea area portraits for characterizing the characteristic information of the plurality of first passing sea areas.

[0096] The S3 includes:

[0097] S31: Obtaining a first environmental pollution tolerance threshold for each of the first sea areas passed through.

[0098] The first environmental pollution tolerance threshold is determined based on artificial experience, and includes thresholds for noise tolerance, oil leakage tolerance, exhaust emission tolerance, etc. for each of the first passing sea areas. The first environmental pollution tolerance threshold is mainly determined by the natural environment, biological populations, and functional uses of the sea area of ​​the first passing sea area.

[0099] S32: Obtain the shallowest disturbed depth and average sediment production of each of the first sea areas passed through.

[0100] The shallowest disturbed depth and the average sediment generation amount are mainly used to determine whether the passage of the first ship will bring about greater sediment disturbance.

[0101] S33: Acquire a first biological population of each of the first passing sea areas, and determine a first repulsive biological mapping relationship according to the first biological population.

[0102] In this step, a first biological population living in each of the first passing sea areas is obtained, and the first biological population includes a plurality of biological populations living in the first passing sea areas.

[0103] One or more other second biological populations that have a repulsive relationship with the first biological population are obtained, and a first repulsive biological mapping relationship is generated between the first biological population and the second biological population, so as to estimate whether the passage of the first ship will bring about biological invasion.

[0104] S34: Obtain first characteristic information of the first passed sea area according to the first environmental pollution tolerance threshold, the shallowest disturbed depth, the average sediment production and the first repulsive biological mapping relationship corresponding to each of the first passed sea areas, and determine multiple first sea area portraits based on multiple first characteristic information.

[0105] In this step, the first environmental pollution tolerance threshold, the shallowest disturbance depth, the average sediment production and the first repulsive biological mapping relationship corresponding to each of the first passed sea areas can be used as labels to generate the first sea area portrait.

[0106] Preferably, the weight of each label can also be determined according to the deviation value of the indicator from the standard indicator, so as to obtain the first sea area portrait according to each indicator and the corresponding weight.

[0107] S4: Obtain multiple first matching degrees according to the first ship portrait, the first route and the multiple first sea area portraits, and obtain first route improvement suggestions according to the multiple first matching degrees.

[0108] In this step, the first route is evaluated and recommended based on the first ship portrait and multiple first sea area portraits generated in the previous steps.

[0109] The S4 comprises the following sub-steps:

[0110] S41: Inputting the first ship portrait and the plurality of first sea area portraits into a first environment matching degree determination model one by one to obtain a plurality of first environment matching degrees.

[0111] The first environment matching degree determination model is obtained based on convolutional neural network model training, and is specifically obtained through the following steps:

[0112] First, sample data is obtained, each of which includes a ship portrait of a historical ship and a sea area portrait of the sea area where the historical ship passed through. The first matching degree is manually marked according to the environmental and biological pollution caused by the historical ship passing through the sea area.

[0113] Secondly, the ship portrait of the historical ship and the sea area portrait of the sea area passed by are used as input data, and the first matching degree is used as output data to train the convolutional neural network model to obtain the first environment matching degree determination model.

[0114] S42: For each of the first passed sea areas, determine a first preceding passed sea area according to the first route.

[0115] S43: Inputting the first sea area passed by, the first preceding sea area passed by and the first repulsive organism mapping relationship corresponding to the first sea area passed by into a first sea area matching degree determination model to obtain the first sea area matching degree.

[0116] Since the biological invasion effects caused by ballast water and hull biological attachment usually occur in subsequent sea areas, for each of the first passing sea areas, the first passing sea area, the first preceding passing sea area and the first repulsive biological mapping relationship corresponding to the first passing sea area can be input into the first sea area matching degree determination model to obtain the first sea area matching degree.

[0117] The first sea area matching degree determination model is obtained based on convolutional neural network model training.

[0118] S44: Obtaining a first matching degree between the first ship and each of the first passing sea areas according to the first environment matching degree and the first sea area matching degree.

[0119] The first matching degree can be obtained by performing appropriate calculations on the first environment matching degree and the first sea area matching degree.

[0120] S45: Determine a first route improvement suggestion according to the plurality of first matching degrees.

[0121] According to the impact of the passing of the first ship on each of the first passing sea areas, first route improvement suggestions may be given to the first route, for example, avoiding the first passing sea areas that are greatly affected.

[0122] The present application also proposes an analysis system based on marine economic operation monitoring data, which is used to execute the above-mentioned analysis method based on marine economic operation monitoring data.

[0123] The present application proposes an analysis system and method based on marine economic operation monitoring data. First, according to a first route that a first ship is to pass, multiple first passing sea areas are obtained, and the first ship and the multiple first passing sea areas are portrayed from two aspects of the environmental impact and biological impact that the ship's passing will bring to the passed sea areas. The first ship portrait is characterized from two dimensions of first basic information and first environmental impact information, and the first sea area portrait is characterized from two dimensions of susceptibility to environmental pollution and biological pollution. Finally, according to the first ship portrait, the multiple first sea area portraits and the first route information, a first matching degree between the first ship and each of the first passing sea areas is obtained, thereby giving adjustment suggestions for the first route.

[0124] The above description is only a preferred embodiment of the present invention, so all equivalent changes or modifications made according to the structure, characteristics and principles described in the scope of the patent application of the present invention are included in the scope of the patent application of the present invention.

Claims

1. An analysis method based on marine economic operation monitoring data, characterized in that: The method includes: S1: obtaining a first route to be traveled by a first ship, and determining a plurality of first passing sea areas according to a first degree of overlap between the first route and a plurality of first ocean areas; S2: determining a first ship portrait according to the first basic information and the first environmental impact information of the first ship; The first basic information includes the first historical noise generation amount, the first historical oil leakage information, the first historical exhaust gas emission amount and the first maintenance information of the first ship; The first environmental impact information includes a first sediment disturbance amount, a first ballast water storage amount, and a first hull biological attachment amount; S3: determining a plurality of first sea area portraits according to a plurality of first characteristic information of the first sailed sea areas; The first characteristic information includes a first environmental pollution tolerance threshold, a shallowest disturbance depth, an average sediment production amount and a first repulsive organism mapping relationship corresponding to each of the first passing sea areas; S4: Obtain multiple first matching degrees according to the first ship portrait, the first route and the multiple first sea area portraits, and obtain first route improvement suggestions according to the multiple first matching degrees.

2. The analysis method based on marine economic operation monitoring data according to claim 1 is characterized in that: The S1 comprises the following sub-steps: S11: acquiring the first route according to the departure place and destination of the first ship in the first navigation operation task; S12: determining a plurality of first coordinate points at a first preset distance on the first route, and obtaining a first coordinate point set according to the plurality of first coordinate points; S13: Determine the first ocean area that overlaps with the first coordinate point set as a first passing sea area, thereby obtaining a plurality of the first passing sea areas.

3. The analysis method based on marine economic operation monitoring data according to claim 2 is characterized in that: The S2 comprises the following sub-steps: S21: determining a first ship sub-portrait according to first basic information of the first ship; S22: determining a second ship sub-portrait according to the first environmental impact information of the first ship; S23: Obtain the first ship portrait according to the first ship sub-portrait and the second ship sub-portrait.

4. The analysis method based on marine economic operation monitoring data according to claim 3 is characterized in that: The S21 includes the following sub-steps: S211: Acquire the first historical noise generation amount, the first historical oil leakage information, and the first historical exhaust gas emission amount of the first ship; S212: Acquire first maintenance information of the first ship within a preset historical time interval; S213: determining the first historical noise generation amount, the first historical oil leakage information, the first historical exhaust gas emission amount, and the first maintenance information as the first basic information; S214: Input the first basic information into the first ship sub-portrait database for similarity matching, and determine the ship sub-portrait with the highest similarity as the first ship sub-portrait.

5. The analysis method based on marine economic operation monitoring data according to claim 4 is characterized in that: The S22 comprises the following sub-steps: S221: Obtaining a first sediment disturbance amount, a first ballast water storage amount, and a first hull biological attachment amount of the first ship; S222: obtaining the first environmental impact information according to the first sediment disturbance amount, the first ballast water storage amount, and the first hull biological attachment amount of the first ship; S223: Input the first environmental impact information into the second ship sub-portrait database for similarity matching, and determine the ship sub-portrait with the highest similarity as the second ship sub-portrait.

6. The analysis method based on marine economic operation monitoring data according to claim 5 is characterized in that: The S3 comprises the following sub-steps: S31: Obtaining a first environmental pollution tolerance threshold for each of the first sea areas passed through; S32: Obtaining the shallowest disturbed depth and average sediment generation of each of the first passing sea areas; S33: acquiring a first biological population of each of the first passing sea areas, and determining a first repulsive biological mapping relationship according to the first biological population; S34: Obtain first characteristic information of the first passed sea area according to the first environmental pollution tolerance threshold, the shallowest disturbed depth, the average sediment production and the first repulsive biological mapping relationship corresponding to each of the first passed sea areas, and determine multiple first sea area portraits based on multiple first characteristic information.

7. The analysis method based on marine economic operation monitoring data according to claim 6 is characterized in that: The S4 comprises the following sub-steps: S41: inputting the first ship portrait and the plurality of first sea area portraits into a first environment matching degree determination model one by one to obtain a plurality of first environment matching degrees; S42: for each of the first passed sea areas, determining a first preceding passed sea area according to the first route; S43: inputting the first sea area passed by, the first preceding sea area passed by, and the first repulsive organism mapping relationship corresponding to the first sea area passed by into a first sea area matching degree determination model to obtain a first sea area matching degree; S44: Obtaining a first matching degree between the first ship and each of the first passing sea areas according to the first environment matching degree and the first sea area matching degree; S45: Determine a first route improvement suggestion according to the plurality of first matching degrees.

8. An analysis system based on marine economic operation monitoring data, used to implement an analysis method based on marine economic operation monitoring data in claims 1-7 above.