CN114154658A - Wind power plant maintenance route calculation method and system based on oceanographic weather - Google Patents
Wind power plant maintenance route calculation method and system based on oceanographic weather Download PDFInfo
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Abstract
The invention provides a method and a system for calculating a maintenance route of a wind power plant based on oceanographic, wherein a navigation area is generated through position data of the wind power plant and a port position, a route library map is generated in the navigation area according to the navigation landform data, a basic route map is generated through supplement of a large amount of historical oceanographic data, and a current route map is generated through current navigation oceanographic data; providing sailing data by a user to generate an initial air route on a current air route map and feed back the initial air route to the user, selecting the initial air route and adjusting to generate a final planned air route, verifying the final planned air route to generate an actual air route, and monitoring and adjusting the actual air route in real time until the user sails out; monitoring current meteorological data and obtaining navigation data, sharing the meteorological data of a forward waypoint area of the actual route to a user in real time, predicting the meteorological change condition in a future period according to the current meteorological data, updating a map of the previous route, and sharing the map to the user. The invention can quickly generate a sea route, monitor the sea route in real time and display the weather condition in front of the sea route in different areas so as to make a detour route in advance and reduce the probability of the ship returning due to encountering disastrous weather.
Description
Technical Field
The invention relates to the technical field of marine overhaul wind power plants, in particular to a method and a system for calculating a wind power plant overhaul route based on oceanographic weather.
Background
Offshore wind energy resources are rich, and the offshore wind energy resources have incomparable advantages compared with land wind energy, so that an offshore wind farm is developed, and the offshore wind farm mostly refers to offshore wind power with the water depth of about 10 meters. Compared with an onshore wind power plant, the offshore wind power plant needs continuous offshore operation and maintenance, but is very easily affected by disastrous weather such as offshore typhoon, thunder, sea fog, storm tide and strong convection in the operation and maintenance process, the condition of sailing back due to encountering the disastrous weather appears in a ship offshore map, the operation and maintenance efficiency of the wind power plant is seriously reduced, and the operation and maintenance cost is increased.
Disclosure of Invention
In view of the above, the problem to be solved by the present invention is to provide a method and a system for calculating a wind farm maintenance route based on oceanographic, which can make a navigation route around the disastrous weather in advance, display the weather condition in front of the route in time and provide a detour route, reduce the probability of the ship returning due to the disastrous weather condition, improve the operation and maintenance efficiency, and reduce the cost.
In order to solve the technical problems, the invention adopts the technical scheme that:
a wind power plant maintenance route calculation method and system based on oceanographic are disclosed, wherein a navigation area is generated through wind power plant position data and a port position, a route library map is generated in the navigation area according to the navigation and oceanographic data, the route library map is supplemented by a large amount of historical oceanographic data to generate a basic route map, and the basic route map is further corrected and corrected by combining with current oceanographic meteorological data to generate a front route map suitable for use at that time;
the method comprises the steps that a user provides sailing data, a plurality of initial air routes are generated on a front air route map through the sailing data and fed back to a user side, the user side selects an initial air route and correspondingly adjusts the initial air route to generate a final planned air route, a processing module verifies the final planned air route to generate an actual air route, and the actual air route is monitored in real time until the user goes out of the sea;
the method comprises the steps of monitoring weather data in a navigation area in real time to predict weather change conditions in a future period, updating a front course map, taking navigation data of ships on the sea, sharing weather data of a front waypoint area of an actual course in real time through the navigation data, and giving the weather data to a user, so that the user side can adjust the course in advance according to the front weather data.
Further, the method for generating the airline library map comprises the following steps: acquiring longitude and latitude data in the landform data and depth data corresponding to a sea level, and extracting a longitude and latitude data range of which the depth data is higher than a depth threshold value to generate an initial navigation domain;
and uniformly dividing an initial navigation domain by regular polygon meshes to generate a plurality of waypoint areas, wherein the centers of the waypoint areas are counted as waypoints.
Further, the method for generating the current route map comprises the following steps: acquiring the distribution position, the generation time and the continuous time of the disastrous weather in a large amount of historical marine meteorological data, and calculating the time law and the position law of the disastrous weather generated in different waypoint areas;
the danger levels of corresponding waypoints are marked through the position rules, the application range of the danger levels is limited according to the time rules to generate a basic route map, the meteorological conditions of different waypoint areas in seven days after the forecasting are carried out through the meteorological data of the current ocean, and the danger levels and the application range of the waypoints are correspondingly corrected to generate the current route map.
Further, the waypoints include safe waypoints, low risk waypoints, medium risk waypoints and high risk waypoints in the representative waypoint area.
Furthermore, each month corresponds to different time rules and position rules, and a current route map suitable for different months is correspondingly generated.
Furthermore, the sailing data comprises sailing time, wind power station position data, maintenance time and ship types, and the time period of the ship entering the waypoint area is estimated according to the sailing time and the sailing speed;
and sequentially selecting safe waypoints or low-risk waypoints in corresponding time interval information in a current route map to connect by taking the port position as a starting point and approaching the wind power plant as a principle, so as to generate a plurality of initial routes.
Furthermore, the sailing data comprises sailing time, wind power station position data, maintenance time and ship types, and the time period of the ship entering the waypoint area is estimated according to the sailing time and the sailing speed;
and sequentially selecting safe waypoints or low-risk waypoints in corresponding time interval information in a current route map to connect by taking the port position as a starting point and approaching the wind power plant as a principle, so as to generate a plurality of initial routes.
Furthermore, the acquisition module continuously acquires meteorological data and updates the front route map, and the meteorological data are updated by the server at regular time and are sent to the user side by the server.
Further, the meteorological data comprises meteorological radar data for monitoring marine high wind and high rain conditions, satellite cloud picture data for predicting marine meteorological development conditions and lightning positioner data for monitoring marine lightning conditions.
The system comprises a positioning module for acquiring position information of a wind power plant, a port and a ship, wherein the positioning module is connected with a processing module for data processing, the processing module is connected with a storage module for storing a large amount of historical marine meteorological data and submarine geomorphic data, a server module for connecting with a user side, and a meteorological module for acquiring current meteorological data of the ocean.
The invention has the advantages and positive effects that:
selecting a navigation area suitable for navigation through a wind power plant position frame and a port position frame, selecting an area suitable for ship navigation in the navigation area frame to generate an air route library map, generating a basic air route map suitable for different months through a large amount of historical marine meteorological data, generating a current air route map by predicting the projection condition of the future days by combining the current meteorological data, and automatically generating an air route for a user to select through the air route data provided by the user and the danger level of an air point area in the current air route map. When the fact that the disastrous weather occurs in front of the sailing is detected, the detouring route can be automatically generated according to the danger level of the area, close to the waypoint, of the sea route, the probability that the ship sails back due to the fact that the ship meets the disastrous weather is reduced, operation and maintenance efficiency is improved, and cost is reduced.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is an overall block diagram of a wind farm maintenance support system based on oceanographic weather according to the present invention;
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present. When a component is referred to as being "connected" to another component, it can be directly connected to the other component or intervening components may also be present. When a component is referred to as being "disposed on" another component, it can be directly on the other component or intervening components may also be present. The terms "vertical," "horizontal," "left," "right," and the like as used herein are for illustrative purposes only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
The invention provides a method and a system for calculating a maintenance route of a wind power plant based on oceanographic weather, as shown in figure 1, the method comprises a positioning module for acquiring position information of a ship during navigation, position information of an offshore wind power plant and position information of a port, wherein the positioning module is connected with a processing module, and the processing module divides a navigation area matched with a wind field through the position information of the wind power plant and the position information of the port. Taking a wind farm as an example: the processing module acquires the longitude and latitude data of the wind power plant, and transfers the longitude and latitude data of two ports (which are not necessarily two in practical use and can be automatically determined according to actual geographic positions) with the nearest linear distance between the adjacent ports through the longitude and latitude data of the wind power plant, and an area enclosed by the longitude and latitude of the wind power plant and the longitude and latitude of the ports is set as a navigation area. Each wind power station corresponds to a navigation area, so that the weather condition in the navigation area can be conveniently and independently monitored and predicted.
The processing module is connected with a storage module, and the storage module is used for storing the landform data of the seabed and a large amount of historical marine meteorological data (marine meteorological data in the last thirty years). And calculating depth data corresponding to the sea level through the landform data, and obtaining depth coordinate information containing longitude and latitude data and the depth data.
The processing module calls depth coordinate information corresponding to the navigation area, selects a depth coordinate information area with depth data higher than a depth threshold value to form an initial navigation area, the depth threshold value represents a depth value at which the ship can just navigate, and the ship can navigate in the initial navigation area at will. The initial navigation domain is represented by the following form: and (4) framing an initial navigation domain range on the submarine landform map according to the longitude and latitude coordinate information.
In order to conveniently and quickly make a route to guide a ship to avoid the range of the disastrous weather waves, regular polygon meshes are used for uniformly dividing an initial navigation area and generating a plurality of waypoint areas (an incomplete mesh positioned at the boundary of the initial navigation area is also defined as one waypoint area). And defining the geometric center of the grid as a waypoint position in the grid area, defining the center of the waypoint area as the waypoint position, and marking the waypoint position at the corresponding coordinate of the submarine geomorphology map to generate the airline library map.
The processing module reads the marine meteorological data of nearly thirty years in the navigation area and generates a basic route map suitable for being used in different periods. The marine meteorological data comprise all the disastrous weather data occurring in the area, and the data such as the forming position, the forming type, the forming time, the spread range, the duration and the like of the disastrous weather, the time law of the disastrous weather is calculated through the recorded forming time, the position law of the disastrous weather is calculated through the recorded forming position, the corresponding waypoint is marked according to the position law, the marked time is controlled according to the time law, and the basic route map is generated.
Taking march as an example, the regular cycle is one month: the processing module reads the disastrous weather data generated in all the marches in the last thirty years, and calculates the time rule and the position rule of the marches according to the disastrous weather data. And calculating that in a first waypoint region of the navigation region, thunderstorm rain is generated in nearly thirty years in the middle ten days of March, and the thunderstorm rain reaches an adjacent second waypoint, so that the first waypoint is marked as a middle-risk waypoint, the second waypoint is marked as a low-risk waypoint, the region without the thunderstorm rain is marked as a safe region, and the applicable time is in the middle ten days of March.
The risk levels of all waypoints of the basic airline map include only medium risk waypoints, low risk waypoints and safe areas. Acquiring rainfall data and rainfall range data in the disastrous weather data, wherein the area of a raining range covering a waypoint area is higher than seventy percent, and defining the waypoint area to generate the disastrous weather; the proportion of the rainfall range covering the waypoint area is lower than seventy percent but higher than thirty percent, the whole rainfall in the waypoint area is calculated by combining the rainfall data and the area of the covering area, and if the whole rainfall is higher than a set threshold value, the waypoint area is defined as a disaster area; if the number of the waypoints is lower than the set threshold value, defining the waypoint area as a swept area and defining the waypoint area as a low-risk waypoint; the proportion of the rainfall coverage waypoint area is less than thirty percent, and the area is defined as a safe waypoint. And marking the risk levels and the applicable time ranges in all waypoint areas in the navigation area by the same method to generate a basic route map.
The processing module is connected with a meteorological module, the meteorological module is used for acquiring current marine meteorological data, and the marine meteorological data comprises meteorological radar data, lightning locator data, satellite cloud picture data and the like. The meteorological radar comprises a cloud measuring radar, a rain measuring radar and a wind measuring radar, wherein the cloud measuring radar is used for acquiring the height and the thickness of a cloud layer for detecting unformed precipitation and the physical characteristics in the cloud; the rain-measuring radar is used for acquiring the concentration, distribution, movement and evolution of precipitation in the atmosphere or heavy water drops in the cloud, the wind-measuring radar is used for acquiring the horizontal wind direction and wind speed of different atmospheric layers at high altitude and meteorological factors such as air pressure, temperature, humidity and the like,
whether the range of the disastrous weather occurs in the navigation sea area is monitored through the height and thickness of the cloud layer, physical characteristics in the cloud layer, the concentration of the large water drops and distribution data, and the trend and the spread range of the disastrous weather in the future time period are predicted through the movement and evolution data of the large water drops, the horizontal wind direction, the wind speed, the air pressure, the temperature and the humidity data. The lightning locator data is used for monitoring whether lightning is generated in the navigation sea area or not and determining the lightning reference fixing position.
According to the atmospheric motion system obtained by combining satellite cloud picture data, a weather system and meteorological radar data are combined, the thickness condition of an aerial cloud layer is accurately predicted, the change condition (whether disastrous weather occurs or not) of weather in a future period and the range of the disastrous weather in a navigation area are predicted according to the appearance characteristics and the evolution condition of clouds in the atmospheric motion system and the axial direction of the cloud layer. And if strong wind or heavy rain occurs, acquiring the spread range, the generation time and the duration (predicting the duration according to the thickness of the cloud layer and the concentration of heavy water drops), and correspondingly correcting the basic route map to generate the current route map. The lightning position finder data is used for monitoring the offshore lightning condition, and a thunderstorm area is avoided without a ship.
The risk levels of waypoints include safe waypoints, low risk waypoints, medium risk waypoints and high risk waypoints. Take predicting weather conditions seven days into the future as an example: the safe waypoints indicate that no disastrous weather is regularly generated in the navigation area for nearly thirty years in the seven days of the current month in the area, and the navigation area is predicted not to be subjected to the disastrous weather generation in the seven days in the future. The low-risk waypoints represent regions which are affected by the disastrous weather or are irregular in recent thirty years, or predict the regions which are affected by the disastrous weather in other regions in the seven days in the future (the judgment method is the same as the judgment method of the waves and the regions in the basic route map, and the total rainfall is calculated according to the swept range and the rainfall).
The medium risk waypoint represents that the disaster weather is regularly generated in the current month and last thirty years in the area, but the area is predicted to have no disaster weather generation or be just a swept area in the seven days in the future. The high-risk waypoint means that, regardless of whether or not the disaster weather regularly occurs in the last thirty years, the high-risk waypoint is defined as the high-risk waypoint as long as the waypoint area is predicted to be the disaster climate area in the next seven days (the method for determining the high-risk waypoint is the same as the method for determining the disaster area in the basic route map). And the basic route map correspondingly adjusts the danger level of the waypoint and perfects the applicable time interval according to the predicted danger level and duration time of the waypoint, and generates the current route map.
The processing module sends the current airline map and the predicted weather evolution situation of the future seven days to the server module, and the user side can access the server module by using the ship receiving device or the mobile phone device. And the user side checks the current airline map and the weather evolution situation of the future seven days. The method comprises the steps that a user side sends the time of departure, wind power plant position data, maintenance dwell time and a ship type to a processing module through a server module, the processing module calls a basic course map and forecast weather evolution data of a corresponding navigation area through the wind power plant position data, and the time of departure and the time of return required by the maintenance are forecasted according to the time of departure, the maintenance dwell time and the ship type (the predicted navigation speed according to the ship type).
The processing module calculates that a ship passes through all waypoint areas to spend fixed time according to the navigation speed of the ship, because the waypoint areas are regular polygons and are divided (approximate to a circle), the time spent by the ship passing through all the waypoint areas is preset to be the same, safe waypoints or low-risk waypoints are selected for connection by reading the danger levels and the applicable time of different waypoint areas of the current route map, and a plurality of initial routes avoiding the disastrous weather are generated by connection on the basis of approaching a wind power plant (namely preferably selecting the waypoint closest to the wind power plant). And a plurality of initial routes are correspondingly generated at different ports in the navigation area.
The method comprises the steps of predicting the total navigation duration of an initial airline, sending a plurality of initial airlines and corresponding total navigation duration to a user side through a server module, selecting a proper sea route by the user side, correspondingly adjusting the sea route according to weather evolution data issued by the server module to generate a final planned airline, and uploading the final airline and the number of accompanying crews and the weight of articles to a processing module by the user side.
The processing module is used for further verifying and monitoring the finally planned route, predicting the weight of the carried fuel oil according to the model and the navigation route of the ship and predicting the final speed of the ship by combining the number of the crew members. And (4) according to the final navigational speed and the final route, optimizing the path of the final planned route to generate an actual route which is close to the real display path (in the final planned route, the ship passes through the central positions of all waypoint areas, and the ship does not necessarily pass through the central position during actual navigation). The time spent by the ship passing through each waypoint area is calculated through the actual route and the final speed, the time spent by the ship entering and exiting the waypoint area is further estimated, and the processing module is used for pertinently predicting the weather condition in the time period according to the time period corresponding to the waypoint area and further verifying the safety of the actual route.
If the dangerous waypoint area or the high-risk waypoint area in the actual airline is predicted to appear, the processing module automatically adjusts the actual airline according to the dangerous level in the waypoint area, sends an actual airline updating prompt to the user side through the server module, and if the dangerous waypoint area or the high-risk waypoint area does not appear, the processing module continuously monitors the risk condition that the actual airline contains the waypoint area in the area and automatically adjusts the actual airline until the time of going out to sea and stops monitoring.
Because the general course direction of the actual course is set in advance, the small-range medium risk or high risk waypoint area on the actual course is provided, but only the local course of the actual course needs to be modified, the general course and the navigation time cannot be changed, and the sea-going efficiency can be ensured. If large-scale disastrous weather occurs and the actual air route needs to be modified in a large range (the number of waypoints contained in the modified air route exceeds the set number), the processing module sends a prompt of canceling the sea to the user end through the server module. The user can replace the sea port to select a new initial route and repeat the process.
Before going out of the sea, install global positioning system on the boats and ships, every crewman carries positioner, and orientation module acquires the AIS information and crewman positional information transmission of boats and ships and gives processing module, and processing module passes through the preliminary location ship position of AIS information of boats and ships, navigation speed and navigation direction to through crewman positional information calibration ship position, accurate location ship position, navigation speed and navigation direction when making things convenient for the airline.
When the ship navigates, the weather module acquires current weather data in the navigation area in real time and sends the current weather data to the processing module, and the processing module predicts the weather conditions in the navigation area within three days in the future according to the current weather data and updates the current route map. The weather conditions comprise rainfall, wind speed, wind direction, air water content and other data of each waypoint region. The positioning module monitors the navigation condition of the ship in real time and sends the navigation condition to the processing module, the processing module monitors the ship front airline (the weather condition in each waypoint area in front) and the distance from the ship in real time according to the position information of the ship, and the navigation condition is directly sent to the user side through the server module, so that the user side can conveniently know the weather condition in front of the airline in time.
The rainfall, wind speed, wind direction, air water content and other data of each waypoint area in the navigation area, which are monitored by the processing module, are displayed on the server module in a table form and are updated once an hour. When the user side finds that the air route needs to be adjusted due to the fact that the disastrous weather occurs in front of the air route, the user side enters the server module to check data such as rainfall, wind speed, wind direction and air water content in an adjacent air route point area, so that the direction and the navigation speed of the air route can be adjusted quickly, and the range of the disastrous weather is avoided in time.
If the weather module detects sudden marine rainstorm, the rainstorm range and the duration, and the positioning module receives the position of the ship, the processing module acquires the actual flight path and the navigation speed of the ship, predicts that the ship continues to navigate along the actual flight path and is influenced by the marine rainstorm soon, the processing module is connected with a user end through a server module (an equipment account is required to be reported in the server module in advance before going out of the sea and is set as an emergency contact account), the processing module quickly generates a plurality of detour routes according to the updated danger level of the marine rainstorm wave on the current flight path map and the waypoints outside the range (the updated danger level of the waypoint area corresponding to the previous flight path map is changed into high-risk waypoints), the position data, the rainstorm range data and the wind direction data of the ship, the detour routes are used for detour routes to detour the high-risk waypoints suddenly generated, and a plurality of courses and corresponding navigation speeds of the rainstorm range are calculated, and generating a plurality of emergency air routes according to the ship course, the ship position and the sailing speed.
And a detour route generation process: the distance from the ship to the adjacent low-risk safe waypoint and the middle-risk waypoint area (the middle-risk waypoint represents that the high-risk waypoint can meet disastrous weather at a high probability or can be closely affected, and the ship is put into use when in urgent detour) is calculated through the position of the ship, and the low-risk safe waypoint and the middle-risk waypoint area which are closely attached to the high-risk waypoint are selected to be connected through the close-to-detour principle. The processing module sends the emergency air routes to the user side through the server module, and the user side selects a proper emergency air route to rapidly and safely drive out a rainstorm range according to the actual condition (the actual speed of the ship).
The embodiments of the present invention have been described in detail, but the description is only for the preferred embodiments of the present invention and should not be construed as limiting the scope of the present invention. All equivalent changes and modifications made within the scope of the present invention should be covered by the present patent.
Claims (10)
1. A wind power plant maintenance route calculation method based on oceanographic is characterized in that a navigation area is generated through wind power plant position data and a port position, a route library map is generated in the navigation area according to the navigation and oceanographic data, the route library map is supplemented with a large amount of historical oceanographic data to generate a basic route map, and the basic route map is supplemented with current navigation and oceanographic data to generate a current route map suitable for being used at that time;
providing sailing data by a user, generating a plurality of initial air routes on a current air route map through the sailing data and feeding back the initial air routes to the user, selecting the initial air routes by the user, correspondingly adjusting the initial air routes to generate a final planned air route, verifying the final planned air route to generate an actual air route, and monitoring and adjusting the actual air route in real time until the user sails out of the sea;
the current meteorological data in the navigation sea area are monitored in real time, meanwhile, the navigation data of the ship on the sea are taken to share the meteorological data of a front waypoint area of an actual airline in real time and are given to users, the meteorological change condition in the future period is predicted according to the current meteorological data, a map of the previous airline is updated, and the meteorological data are shared with the users.
2. The method for calculating the wind farm maintenance route based on the oceanographic weather according to the claim 1, characterized in that the route library map generation method comprises the following steps: acquiring geomorphic data in a navigation sea area, extracting longitude and latitude data in the geomorphic data and depth data corresponding to a sea level, and framing a longitude and latitude data range higher than a depth threshold value according to the depth data to generate an initial navigation area;
and uniformly dividing an initial navigation domain by regular polygon meshes to generate a plurality of waypoint areas, wherein the centers of the waypoint areas are counted as waypoints.
3. The method for calculating the wind farm overhaul lane based on oceanographic weather according to claim 2, wherein the method for generating the current lane map comprises the following steps: acquiring the distribution position, the generation time and the continuous time of the disastrous weather in a large amount of historical marine meteorological data, and calculating the time law and the position law of the disastrous weather generated in different waypoint areas;
the danger levels of corresponding waypoints are marked through the position rule, the application range of the danger levels is limited according to the time rule, then a basic route map is generated, the weather conditions of different waypoint areas in a plurality of days in the future are predicted through the weather data of the current ocean, and the danger levels and the application range of the waypoints are correspondingly corrected to generate the current route map.
4. The method of claim 3, wherein the waypoints comprise safe waypoints, low risk waypoints, medium risk waypoints and high risk waypoints in the area representing the waypoints.
5. The method for calculating the wind farm overhaul routes based on oceanographic weather according to claim 3, characterized in that each month corresponds to different time rules and position rules, and current route maps suitable for different months are correspondingly generated.
6. The method for calculating the overhauling route of the wind farm based on the oceanographic weather as claimed in claim 3, wherein the sailing data comprises sailing time, wind farm position data, overhauling time and ship type, and the time period of the ship entering the waypoint area is estimated according to the sailing time and the sailing speed;
and sequentially selecting safe waypoints or low-risk waypoints in corresponding time interval information in a current route map to connect by taking the port position as a starting point and approaching the wind power plant as a principle, so as to generate a plurality of initial routes.
7. The method for calculating the overhauling air route of the wind farm based on the oceanographic weather as claimed in claim 1, wherein the sailing data comprises the position, the sailing speed and the sailing direction of a ship, a global positioning system is installed on the ship, and a crew carries a positioning device to obtain the sailing data by simultaneously obtaining AIS information and crew position information of the ship.
8. The method for calculating the wind farm overhauling route based on oceanographic weather as claimed in claim 1, wherein the meteorological data are acquired in real time, the weather condition in the next few days is predicted, the current route map is updated by predicting the weather condition, and the meteorological condition of the roadway area in front of the route and the updated current route map are sent to a user at regular time.
9. The method of claim 1, wherein the meteorological data comprises meteorological radar data for monitoring marine high wind and high rain conditions, satellite cloud map data for predicting marine meteorological development, and lightning locator data for monitoring marine lightning conditions.
10. A wind farm maintenance route calculation system using any one of claims 1 to 9, characterized by comprising a positioning module for acquiring position information of a wind farm, a port site and a ship, wherein the positioning module is connected with a processing module for data processing, the processing module is connected with a storage module for storing a large amount of historical marine meteorological data and submarine geomorphologic data, a server module for connecting with a user terminal, and a meteorological module for acquiring current meteorological data of the ocean.
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