A method and terminal for calculating a work window period of a marine wind power operation and maintenance ship

Abstract

The application discloses a kind of offshore wind power operation ship operation window period calculation method and terminal, first obtain the wind farm data of target sea area and weather forecast data in future time period;The influence coefficient of wind direction data, tidal height data and large tide data in weather forecast data in future time period and the influence coefficient of island distance and offshore distance in wind farm data on wave height are calculated respectively;Then, according to all influence coefficients and wave height data in weather forecast data, get comprehensive wave height data;Finally, compared with the wave resistance grade of target ship, to determine whether target time is the operation window period of target ship.

Description

TECHNICAL FIELD

[0001] The present application relates to the offshore wind power operation and maintenance technical field, and particularly relates to a calculation method of an operation window period of an offshore wind power operation and maintenance ship and a terminal. BACKGROUND

[0002] The offshore wind power is a system taking sea as the main body, electricity as the center and wind as the support, and is a combination of electricity and marine engineering. As a new strategic industry, the offshore wind power is an important part of the marine economy. However, the offshore wind power operation and maintenance ship is greatly affected by the marine environment when it is out to sea, especially when it is top-approaching the wind turbine. Therefore, by providing the operation window period of the offshore wind power operation and maintenance ship, it can ensure that the offshore wind power operation and maintenance operation can go out, go up and come back, so as to ensure the safety of the offshore wind power operation and maintenance operation, and avoid the situation that the operation cannot be carried out after going out to sea and reduce the use cost of the operation and maintenance ship. Therefore, how to accurately predict the operation window period of the offshore wind power operation and maintenance ship and provide safety protection for the offshore wind power operation and maintenance operation becomes a problem to be solved. SUMMARY

[0003] The technical problem to be solved by the present application is to provide a calculation method of an operation window period of an offshore wind power operation and maintenance ship and a terminal, which can accurately predict the operation window period of the offshore wind power operation and maintenance ship and provide safety protection for the offshore wind power operation and maintenance operation.

[0004] In order to solve the above technical problem, the technical scheme adopted by the present application is:

[0005] A calculation method of an operation window period of an offshore wind power operation and maintenance ship, comprising the steps of:

[0006] S1, obtaining wind farm data of a target sea area and weather forecast data in a future time period;

[0007] S2, respectively calculating influence coefficients of wind direction data, tide height data and large tide data in the weather forecast data of a target time in the future time period on wave height and influence coefficients of the distance of the nearest island and the distance from the shore in the wind farm data on wave height;

[0008] S3, obtaining comprehensive wave height data according to all the influence coefficients and wave height data in the weather forecast data;

[0009] S4, comparing the comprehensive wave height data with the wave resistance level of a target ship to determine whether the target time is the operation window period of the target ship.

[0010] In order to solve the above technical problem, another technical scheme adopted by the present application is:

[0011] A calculation terminal for an operation window period of a marine wind power operation and maintenance ship, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, and the processor implements the following steps when executing the computer program:

[0012] S1, obtaining wind farm data of a target sea area and weather forecast data in a future time period;

[0013] S2, respectively calculating influence coefficients of wind direction data, tidal height data and large and small tide data in the weather forecast data at a target time in the future time period on wave height and influence coefficients of the nearest island distance and off-shore distance in the wind farm data on wave height;

[0014] S3, obtaining comprehensive wave height data according to all the influence coefficients and wave height data in the weather forecast data;

[0015] S4, comparing the comprehensive wave height data with the wave resistance level of a target ship to determine whether the target time is an operation window period of the target ship.

[0016] The beneficial effects of the present application are that: a calculation method and terminal for an operation window period of a marine wind power operation and maintenance ship, which comprehensively considers actual wind farm data of a target sea area and weather forecast data in a future time, uses wind direction data, tidal height data, large and small tide data and the nearest island distance to re-determine comprehensive wave height data of the target sea area at a target time, and then compares with the wave resistance level of a target ship to determine whether the target time can be used as a window period, thereby providing data reference for whether the marine wind power operation and maintenance ship goes to sea to dock for wind turbine operation, accurately predicting the operation window period of the marine wind power operation and maintenance ship, and providing safety guarantee for marine wind power operation and maintenance. BRIEF DESCRIPTION OF DRAWINGS

[0017] Figure 1 A flowchart of a calculation method for an operation window period of a marine wind power operation and maintenance ship according to an embodiment of the present application;

[0018] Figure 2 A structure diagram of a calculation terminal for an operation window period of a marine wind power operation and maintenance ship according to an embodiment of the present application.

[0019] REFERENCE NUMERALS:

[0020] 1. A calculation terminal for an operation window period of a marine wind power operation and maintenance ship; 2, a processor; 3, a memory. DETAILED DESCRIPTION

[0021] To explain the technical content, purposes and effects of the present application in detail, the following will be described in conjunction with the embodiments and the accompanying drawings.

[0022] Please refer to Figure 1A method for calculating a work window period of a marine wind power operation and maintenance ship, comprising the steps of:

[0023] S1, obtaining wind farm data of a target sea area and weather forecast data in a future time period;

[0024] S2, respectively calculating influence coefficients of wind direction data, tidal height data and spring-neap data in the weather forecast data at a target time in the future time period on wave height and influence coefficients of the nearest island distance and off-shore distance in the wind farm data on wave height;

[0025] S3, obtaining comprehensive wave height data according to all the influence coefficients and wave height data in the weather forecast data;

[0026] S4, comparing the comprehensive wave height data with the wave resistance level of a target ship to determine whether the target time is a work window period of the target ship.

[0027] From the above description, the beneficial effects of the present application are that the actual wind farm data of a target sea area and the weather forecast data in a future time are comprehensively considered, wind direction data, tidal height data, spring-neap data and the nearest island distance are used to re-determine the comprehensive wave height data of the target sea area at a target time, and then compared with the wave resistance level of a target ship to determine whether the target time can be used as a window period, thereby providing data reference for whether a marine wind power operation and maintenance ship goes to sea to dock a wind turbine for work, accurately predicting the work window period of the marine wind power operation and maintenance ship, and providing safety guarantee for marine wind power operation and maintenance.

[0028] Further, the step S2 is specifically:

[0029] S21, different wind direction influence coefficients are set according to the wind direction of the wind direction data and the wave height data, wherein under the same wind direction data, the wind direction influence coefficient decreases with the increase of the interval in which the wave height data is located;

[0030] S22, if the off-shore distance is greater than a preset off-shore distance, the off-shore distance influence coefficient is a first preset off-shore coefficient, otherwise it is a second preset off-shore coefficient, and the first preset off-shore coefficient is greater than the second preset off-shore coefficient;

[0031] S23, the tidal height influence coefficient is a first preset tidal height coefficient only when the wind direction data belongs to a first wind direction range, the nearest island distance is greater than a preset island distance, and the difference between the tidal height data at the target time and the tidal height data at the previous time is greater than a preset difference, and is a second preset tidal height coefficient in other cases;

[0032] S24, if the nearest island distance is greater than a preset island distance and the spring-neap data is a spring tide, the spring-neap influence coefficient is a first preset spring-neap coefficient.

[0033] If the recent island distance is greater than the preset island distance and the tidal data is a spring tide, the tidal influence coefficient is a second preset tidal coefficient;

[0034] In other cases, the tidal influence coefficient is a third preset tidal coefficient, the third preset tidal coefficient is greater than the second preset tidal coefficient and less than the first preset tidal coefficient.

[0035] From the above description, the wind direction, wave height, and tidal data are integrated to obtain the wind direction influence coefficient, the distance from the shore influence coefficient, the tidal height influence coefficient, and the tidal influence coefficient. The influence of multiple data on the wave height is judged from multiple angles, so as to accurately judge whether the offshore maintenance ship is suitable for going to sea at the target time, and to provide more reliable safety protection for offshore wind power maintenance operation.

[0036] Further, the step S3 is specifically:

[0037] The wind direction influence coefficient, the distance from the shore influence coefficient, the tidal height influence coefficient, the tidal influence coefficient, and the wave height data are integrated and operated to obtain the comprehensive wave height data, and the expression of the integrated operation is as follows:

[0038] JL = (L x (1 + W x D) + C) x N

[0039] Wherein, JL represents the comprehensive wave height data, L represents the wave height coefficient, W represents the wind direction influence coefficient, D represents the distance from the shore influence coefficient, C represents the tidal height influence coefficient, and N represents the tidal influence coefficient.

[0040] From the above description, the above is the specific calculation process of the comprehensive wave height. The influence of multiple data on the window period is normalized by public operation, and the comprehensive wave height is taken as the final influence result, so as to directly reflect whether the target time is the window period.

[0041] Further, the step S4 is specifically:

[0042] If the difference between the comprehensive wave height data and the wave resistance level is greater than a first preset safety value, it indicates that the target time is the window period of the target ship, otherwise it indicates that the target time is not the window period of the target ship.

[0043] From the above description, after establishing the comprehensive wave height data, the first preset safety value is set as the difference between the comprehensive wave height data and the wave resistance level to judge whether the target time is the window period of the target ship, which directly reflects whether the ship is safe to go to sea at the target time and whether it can operate.

[0044] Further, a second preset safety value is further included, and the step S4 further includes:

[0045] If the difference of the anti-wave level of the comprehensive wave height data is greater than the first preset safety value and less than or equal to the second preset safety value, it is prompted that the target ship is cautious to travel at the target time;

[0046] If the difference of the anti-wave level of the comprehensive wave height data is greater than the second preset safety value, it is prompted that the target ship can travel at the target time.

[0047] From the above description, it can be known that the second preset safety value is obtained on the basis of the first preset safety value to further refine and determine whether the target ship needs to be cautious to sail, so as to remind the staff of the target ship and improve the safety awareness of the staff in the sea operation.

[0048] Please refer to Figure 2 A calculation terminal 1 for a work window period of a sea wind power operation and maintenance ship, comprising a memory 3, a processor 2, and a computer program stored in the memory 3 and capable of running on the processor 2, and the processor 2 implements the following steps when executing the computer program:

[0049] S1, obtaining wind farm data of a target sea area and weather forecast data in a future time period;

[0050] S2, respectively calculating influence coefficients of wind direction data, tide height data and spring-neap data in the weather forecast data of the target time in the future time period on wave height and influence coefficients of the nearest island distance and off-shore distance in the wind farm data on wave height;

[0051] S3, obtaining comprehensive wave height data according to all the influence coefficients and wave height data in the weather forecast data;

[0052] S4, comparing the comprehensive wave height data with an anti-wave level of a target ship to determine whether the target time is a work window period of the target ship.

[0053] From the above description, it can be known that the calculation terminal for a work window period of a sea wind power operation and maintenance ship, which comprehensively considers actual wind farm data of a target sea area and weather forecast data in a future time, uses wind direction data, tide height data, spring-neap data and the nearest island distance to re-determine comprehensive wave height data of the target sea area at a target time, and then compares the comprehensive wave height data with an anti-wave level of a target ship to determine whether the target time can be used as a window period, thereby providing data reference for whether a sea wind power operation and maintenance ship sails or not, accurately predicting a work window period of the sea wind power operation and maintenance ship, and providing safety guarantee for sea wind power operation and maintenance.

[0054] Further, the step S2 is specifically:

[0055] S21, different wind direction influence coefficients are set according to different wind directions of the wind direction data and different wave height data, wherein the wind direction influence coefficient decreases with the increase of the interval of the wave height data under the same wind direction data;

[0056] S22, if the offshore distance is greater than the preset offshore distance, the offshore distance influence coefficient is a first preset offshore distance coefficient, otherwise it is a second preset offshore distance coefficient, and the first preset offshore distance coefficient is greater than the second preset offshore distance coefficient;

[0057] S23, the tide height influence coefficient is a first preset tide height coefficient only when the wind direction data belongs to a first wind direction range, the nearest island distance is greater than a preset island distance, and the difference between the tide height data at the target time and the tide height data at the last time is greater than a preset difference, otherwise it is a second preset tide height coefficient;

[0058] S24, if the nearest island distance is greater than the preset island distance and the spring tide data is a spring tide, the spring tide influence coefficient is a first preset spring tide coefficient;

[0059] If the nearest island distance is greater than the preset island distance and the spring tide data is a spring tide, the spring tide influence coefficient is a second preset spring tide coefficient;

[0060] In other cases, the spring tide influence coefficient is a third preset spring tide coefficient, and the third preset spring tide coefficient is greater than the second preset spring tide coefficient and less than the first preset spring tide coefficient.

[0061] From the above description, the wind direction, wave height, tide height and other data are integrated to obtain the wind direction influence coefficient, offshore distance influence coefficient, tide height influence coefficient and spring tide influence coefficient, and the influence of multiple data on wave height is judged from multiple angles, so that whether the offshore maintenance ship is suitable for going to sea at the target time can be accurately judged, and more reliable safety guarantee is provided for offshore wind power maintenance operation.

[0062] Further, the step S3 is specifically:

[0063] The wind direction influence coefficient, the offshore distance influence coefficient, the tide height influence coefficient, the spring tide influence coefficient and the wave height data are integrated and operated to obtain the comprehensive wave height data, and the expression of the integration operation is as follows:

[0064] JL = (L × (1 + W × D) + C) × N;

[0065] Wherein, JL represents the comprehensive wave height data, L represents a wave height coefficient, W represents the wind direction influence coefficient, D represents the offshore distance influence coefficient, C represents the tide height influence coefficient, and N represents the spring-neap tide influence coefficient.

[0066] Further, the step S4 is specifically:

[0067] If the difference between the comprehensive wave height data and the wave resistance level is greater than a first preset safety value, it indicates that the target time is a window period of the target ship, otherwise it indicates that the target time is not a window period of the target ship.

[0068] From the above description, after establishing the comprehensive wave height data, the first preset safety value is set as the difference between the comprehensive wave height data and the wave resistance level to judge whether the target time is a window period of the target ship, which directly reflects whether the ship is safe at sea at the target time and whether it can operate.

[0069] Further, a second preset safety value is further included, and the step S4 further includes:

[0070] If the difference between the comprehensive wave height data and the wave resistance level is greater than the first preset safety value and less than or equal to the second preset safety value, the target ship is prompted to be cautious at the target time.

[0071] If the difference between the comprehensive wave height data and the wave resistance level is greater than the second preset safety value, the target ship is prompted to be able to travel at the target time.

[0072] From the above description, the second preset safety value is obtained by further refining the first preset safety value to judge whether the target ship needs to be cautious at sea, so as to remind the staff of the target ship and improve their safety awareness of sea operation.

[0073] The offshore wind power operation and maintenance ship operation window period calculation method and terminal of the present application can be applied to the operation scene of offshore wind power operation and maintenance, and the following will be described through specific implementation manners:

[0074] Please refer to Figure 1 , the embodiment one of the present application is:

[0075] An offshore wind power operation and maintenance ship operation window period calculation method, as shown in Figure 1 , includes the steps of:

[0076] S1, obtaining wind farm data of a target sea area and weather forecast data in a future time period;

[0077] In the embodiment, the future time period can be specifically selected as a future week of the target sea area, and weather data including wind direction, tide height, wave height and spring-neap tide can be obtained through various meteorological or oceanic forecasting platforms.

[0078] S2, respectively calculate the influence coefficients of wind direction data, tide height data and spring-neap tide data in the weather forecast data at the target time in the future time period on wave height, and the influence coefficients of the nearest island distance and off-shore distance in the wind farm data on wave height;

[0079] In the embodiment, step S2 specifically includes:

[0080] S21, different wind direction influence coefficients are set according to the wind direction of the wind direction data and the wave height data, wherein under the same wind direction data, the wind direction influence coefficient decreases with the increase of the interval in which the wave height data is located;

[0081] In the embodiment, the values of the wind direction influence coefficients in the coastal area of Fujian are specifically as follows:

[0082] If the wind direction data is east wind including south wind, if the wave height data is greater than or equal to the first preset wave height, the wind direction influence coefficient is selected as the first wind direction influence coefficient, if the wave height data is between the second preset wave height and the first preset wave height, the wind direction influence coefficient is selected as the second wind direction influence coefficient, and if the wave height data is less than or equal to the second preset wave height, the wind direction influence coefficient is selected as the third wind direction influence coefficient;

[0083] If the wind direction data is west wind including north wind, if the wave height data is greater than or equal to the first preset wave height, the wind direction influence coefficient is selected as the fourth wind direction influence coefficient, if the wave height data is between the second preset wave height and the first preset wave height, the wind direction influence coefficient is selected as the fifth wind direction influence coefficient, and if the wave height data is less than or equal to the second preset wave height, the wind direction influence coefficient is selected as the sixth wind direction influence coefficient;

[0084] The first wind direction influence coefficient is greater than the fourth wind direction influence coefficient, the second wind direction influence coefficient is greater than the fifth wind direction influence coefficient, and the third wind direction influence coefficient is less than the sixth wind direction influence coefficient;

[0085] By distinguishing the wind direction data into east wind and west wind, and adopting different wind direction influence coefficients based on different wave height value intervals, and for east wind and west wind, the size relationship of the corresponding wind direction influence coefficients is opposite in the two large intervals greater than and less than the second preset wave height, to ensure the rationality and objectivity of the wind direction influence coefficient, and finally ensure the accurate prediction of the operation window period. Specifically, when the wind direction is east wind, northeast wind, southeast wind and south wind, if the wave height is greater than or equal to 1 meter, the wind direction influence coefficient is selected as [0.9, 1], and the preferred value is 1; if the wave height is between 0.5 meters and 1 meter, the wind direction influence coefficient is selected as [0.6, 0.8], and the preferred value is 0.7; if the wave height is less than or equal to 0.5 meters, the wind direction influence coefficient is selected as 0.

[0086] When the wind direction is west wind, northwest wind, southwest wind and north wind, if the wave height is greater than or equal to 1 meter, the wind direction influence coefficient is selected as [0.6, 0.7], and the preferred value is 0.6; if the wave height is between 0.5 meters and 1 meter, the wind direction influence coefficient is selected as [0.4, 0.5], and the preferred value is 0.5; if the wave height is less than or equal to 0.5 meters, the wind direction influence coefficient is selected as [0.2, 0.4], and the preferred value is 0.3.

[0087] S22, if the distance from the shore is greater than the preset distance from the shore, the distance from the shore influence coefficient is the first preset distance from the shore coefficient, otherwise it is the second preset distance from the shore coefficient, the first preset distance from the shore coefficient is greater than the second preset distance from the shore coefficient;

[0088] In this embodiment, the preset distance from the shore is in the range of [9, 12] kilometers, and the preferred value is 10 kilometers; the first preset distance from the shore coefficient is in the range of [0.9, 1], and the preferred value is 1; the second preset distance from the shore coefficient is in the range of [0.4, 0.6], and the preferred value is 0.5.

[0089] S23, when and only when the wind direction data belongs to the first wind direction range, the distance to the nearest island is greater than the preset island distance, and the difference between the tide height data at the target time and the tide height data at the last time is greater than the preset difference, the tide height influence coefficient is the first preset tide height coefficient, and in other cases, the second preset tide height coefficient;

[0090] In this embodiment, the first wind direction range can correspond to the above-mentioned wind direction division range, such as including east wind, northeast wind, southeast wind and south wind; the preset island distance is in the range of [9, 12] kilometers, and the preferred value is 10 kilometers; the first preset tide height coefficient is in the range of [0.1, 0.3], and the preferred value is 0.2; the second preset tide height coefficient is in the range of [0, 0.1], and the preferred value is 0.

[0091] S24, if the distance to the nearest island is greater than the preset island distance and the spring-neap data is spring tide, the spring-neap influence coefficient is the first preset spring-neap coefficient;

[0092] If the distance to the nearest island is greater than the preset island distance and the size tide data is small tide, the size tide influence coefficient is a second preset size tide coefficient;

[0093] In other cases, the size tide influence coefficient is a third preset size tide coefficient, the third preset size tide coefficient is greater than the second preset size tide coefficient and less than the first preset size tide coefficient.

[0094] In the embodiment, the value range of the first preset size tide coefficient is [1.1, 1.3], preferably 1.2; the value range of the second preset size tide coefficient is [0.9, 1], preferably 0.95. The value range of the third preset size tide coefficient is [1, 1.1], preferably 1.

[0095] S3, according to all influence coefficients and wave height data in weather forecast data, get comprehensive wave height data;

[0096] In the embodiment, the wind direction influence coefficient, the distance from shore influence coefficient, the tide height influence coefficient, the size tide influence coefficient and the wave height data are integrated and operated to obtain the comprehensive wave height data, and the expression of the integrated operation is as follows:

[0097] JL = (L x (1 + W x D) + C) x N

[0098] Wherein, JL represents the comprehensive wave height data, L represents the wave height coefficient, W represents the wind direction influence coefficient, D represents the distance from shore influence coefficient, C represents the tide height influence coefficient, and N represents the size tide influence coefficient.

[0099] In the embodiment, taking a day in the future time of the target sea area and 17:00 as the target time as an example, the weather forecast data obtained is shown in Table 1:

[0100] Table 1. Weather forecast data

[0101] Target time Wind direction Wave height Tide height 17 hours Northeast wind 0.6 442

[0102] And the distance from shore is 6KM, the size tide is large tide, the distance to the nearest island is 6KM, and the tide height of the previous time is 566.

[0103] Then, taking the wind direction influence coefficient and other data as an example, after step S2 is executed, the data is brought into the expression of the integrated operation, and the obtained content is shown in Table 2:

[0104] Table 2

[0105]

[0106] S4, compare the comprehensive wave height data with the wave resistance level of the target ship to determine whether the target time is the operation window period of the target ship.

[0107] In the embodiment, step S4 is specifically:

[0108] If the difference between the comprehensive wave height data and the wave resistance level is greater than the first preset safety value, it indicates that the target time is the window period of the target ship, otherwise, it indicates that the target time is not the window period of the target ship.

[0109] If the difference between the comprehensive wave height data and the wave resistance level is greater than the first preset safety value and less than or equal to the second preset safety value, it is prompted that the target ship should be cautious to travel at the target time;

[0110] If the difference between the comprehensive wave height data and the wave resistance level is greater than the second preset safety value, it is prompted that the target ship can travel at the target time.

[0111] Please refer to Figure 2 , the second embodiment of the present application is:

[0112] A computing terminal 1 for calculating the operation window period of a sea wind power maintenance ship, as shown in Figure 2 , comprises a memory 3, a processor 2, and a computer program stored in the memory 3 and executable on the processor 2, and the processor 2 implements the above-mentioned sea wind power maintenance ship operation window period calculation method of the first embodiment when executing the computer program.

[0113] In summary, the present application discloses a kind of sea wind power maintenance ship operation window period calculation method and terminal, the actual wind power field data of target sea area and weather forecast data in future time are integrated, wind direction data, tidal height data, large and small tide data and the nearest island distance data are used to rejudge the comprehensive wave height data of target sea area at target time, then compared with the wave resistance level of target ship, to determine whether target time can be as window period, provide data reference for sea wind power maintenance ship whether to go out and stop at wind machine operation, accurately predict sea wind power maintenance ship operation window period, provide safety guarantee for sea wind power maintenance operation.

[0114] The above is only an embodiment of the present application, and does not limit the patent scope of the present application, any equivalent transformation or direct or indirect application in related technical field based on the content of the present application specification and drawings is also included in the patent protection scope of the present application.

Claims

1. A method for calculating the operational window period of an offshore wind farm service vessel, characterized in that, The method comprises the steps of: S1, obtaining wind farm data of a target sea area and weather forecast data in a future time period; S2, calculating the influence coefficients of wind direction data, tidal height data and spring-neap data in the weather forecast data at a target time in the future time period on wave height and the influence coefficients of the nearest island distance and off-shore distance in the wind farm data on wave height, respectively; S3, obtaining comprehensive wave height data according to all the influence coefficients and wave height data in the weather forecast data; S4, comparing the comprehensive wave height data with the wave resistance level of a target ship to determine whether the target time is a work window period of the target ship. The step S2 specifically comprises: S21, setting different wind direction influence coefficients according to different wind directions of the wind direction data and different wave height data, wherein the wind direction influence coefficient decreases with the increase of the interval of the wave height data under the same wind direction data; S22, if the off-shore distance is greater than a preset off-shore distance, the off-shore distance influence coefficient is a first preset off-shore coefficient, otherwise, it is a second preset off-shore coefficient, and the first preset off-shore coefficient is greater than the second preset off-shore coefficient; S23, the tidal height influence coefficient is a first preset tidal height coefficient only when the wind direction data belongs to a first wind direction range, the nearest island distance is greater than a preset island distance, and the difference between the tidal height data at the target time and the tidal height data at the previous time is greater than a preset difference value, and is a second preset tidal height coefficient in other cases; S24, if the nearest island distance is greater than the preset island distance and the spring-neap data is spring tide, the spring-neap influence coefficient is a first preset spring-neap coefficient; if the nearest island distance is greater than the preset island distance and the spring-neap data is neap tide, the spring-neap influence coefficient is a second preset spring-neap coefficient; in other cases, the spring-neap influence coefficient is a third preset spring-neap coefficient, which is greater than the second preset spring-neap coefficient and less than the first preset spring-neap coefficient.

2. The method according to claim 1, characterized in that, The step S3 specifically comprises: integrating and operating the wind direction influence coefficient, the off-shore distance influence coefficient, the tidal height influence coefficient, the spring-neap influence coefficient and the wave height data to obtain the comprehensive wave height data, and the expression of the integration operation is as follows: JL=(L×(1+W×D)+C)×N; wherein JL represents the comprehensive wave height data, L represents the wave height coefficient, W represents the wind direction influence coefficient, D represents the off-shore distance influence coefficient, C represents the tidal height influence coefficient, and N represents the spring-neap influence coefficient.

3. The method according to claim 1, characterized in that, The step S4 specifically comprises: if the difference between the comprehensive wave height data and the wave resistance level is greater than a first preset safety value, it indicates that the target time is the window period of the target ship, otherwise, it indicates that the target time is not the window period of the target ship.

4. The method according to claim 3, characterized in that, It also includes a second preset safety value, and the step S4 further comprises: if the difference between the comprehensive wave height data and the wave resistance level is greater than the first preset safety value and less than or equal to the second preset safety value, it prompts the target ship to travel carefully at the target time. If a difference between the comprehensive wave height data and the wave resistance level is greater than the second preset safety value, it is prompted that the target ship can travel at the target time.

5. A computing terminal for offshore wind farm service vessel operational window period, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, The processor implements the following steps when executing the computer program: S1, obtaining wind farm data of a target sea area and weather forecast data in a future time period; S2, calculating an influence coefficient of wind direction data, tide height data and spring-neap data in the weather forecast data at a target time in the future time period on wave height and an influence coefficient of the distance to the nearest island and the distance from the shore in the wind farm data on wave height respectively; S3, obtaining comprehensive wave height data according to all the influence coefficients and wave height data in the weather forecast data; S4, comparing the comprehensive wave height data with a wave resistance level of a target ship to determine whether the target time is a work window period of the target ship; The step S2 is specifically: S21, setting different wind direction influence coefficients according to different wind directions of the wind direction data and the wave height data; S22, if the distance from the shore is greater than a preset distance from the shore, the distance from the shore influence coefficient is a first preset distance from the shore coefficient, otherwise it is a second preset distance from the shore coefficient, the first preset distance from the shore coefficient is greater than the second preset distance from the shore coefficient; S23, the tide height influence coefficient is a first preset tide height coefficient only when the wind direction data belongs to a first wind direction range, the distance to the nearest island is greater than a preset island distance, and a difference between the tide height data at the target time and the tide height data at the previous time is greater than a preset difference, otherwise it is a second preset tide height coefficient; S24, if the distance to the nearest island is greater than the preset island distance and the spring-neap data is spring tide, the spring-neap influence coefficient is a first preset spring-neap coefficient; if the distance to the nearest island is greater than the preset island distance and the spring-neap data is neap tide, the spring-neap influence coefficient is a second preset spring-neap coefficient; otherwise, the spring-neap influence coefficient is a third preset spring-neap coefficient, the third preset spring-neap coefficient is greater than the second preset spring-neap coefficient and less than the first preset spring-neap coefficient.

6. The offshore wind power operation ship operation window period calculation terminal according to claim 5, characterized in that, The step S3 is specifically: performing integrated operation on the wind direction influence coefficient, the distance from the shore influence coefficient, the tide height influence coefficient, the spring-neap influence coefficient and the wave height data to obtain the comprehensive wave height data, an expression of the integrated operation is as follows: JL=(L×(1+W×D)+C)×N; wherein, JL represents the comprehensive wave height data, L represents a wave height coefficient, W represents the wind direction influence coefficient, D represents the distance from the shore influence coefficient, C represents the tide height influence coefficient, and N represents the spring-neap influence coefficient.

7. The offshore wind power operation ship operation window period calculation terminal according to claim 5, characterized in that, The step S4 is specifically: if a difference between the comprehensive wave height data and the wave resistance level is greater than a first preset safety value, it is indicated that the target time is a window period of the target ship, otherwise it is indicated that the target time is not a window period of the target ship.

8. The offshore wind power operation ship operation window period calculation terminal according to claim 7, characterized in that, The second preset safety value is further included, and the step S4 further includes: If the difference of the anti-wave level of the comprehensive wave height data is greater than the first preset safety value and less than or equal to the second preset safety value, the target ship is prompted to be cautious at the target time; If the difference of the anti-wave level of the comprehensive wave height data is greater than the second preset safety value, the target ship is prompted to be able to travel at the target time.

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