KR102372684B1 - System for providing vessel operation intention support service for offshore wind farm maintenance - Google Patents

Abstract

The present invention relates to a system for providing a vessel operation intention support service for maintenance of an offshore wind farm, which provides a vessel operation schedule suitable for maintenance by part. According to one embodiment of the present invention, the system comprises: a vessel decision support server including a collection unit collecting failure diagnosis information including failure part information from an integrated management server, a marine weather prediction unit predicting marine weather for a predetermined period from the date when the failure diagnosis information is collected by the collecting unit, and a schedule output unit outputting a vessel operation schedule by reflecting marine weather prediction predicted by the marine weather prediction unit; and a maintenance database server receiving the failure diagnosis information from the vessel decision support server and extracting maintenance information matched to failed part information. The maintenance information includes information on the type of vessel operated for maintenance by part, the number of workers, and used parts. The schedule output unit outputs the vessel operation schedule on the basis of the marine weather prediction information and the maintenance information.

Description

System for providing vessel operation intention support service for offshore wind farm maintenance

The present invention relates to a system and method for providing a ship operation intention support service, and more particularly, to a service providing system and method for predicting marine weather forecast information to support ship operation decision making for offshore wind farm maintenance.

Offshore wind power is a growing industry as a major business of the Green New Deal by installing wind power generators in the sea to obtain electricity. Compared to onshore wind power, there are fewer space restrictions and problems such as noise and radio wave interference do not occur in forming a large complex. And it has the advantage of being able to mass-produce power accordingly.

However, offshore wind farms have a disadvantage in that they are less accessible than onshore due to their geographical characteristics. Even if a plan is established to maintain a generator located in the sea, there may be cases where the operation of the vessel is impossible depending on the marine weather conditions. This problem causes a loss in the operation of the complex in the long run, and an increase in operating cost causes enormous damage to the operator of the complex.

In the case of offshore wind farms, the key keyword that can preserve operational profits and reduce maintenance costs is the ship's operation schedule, which requires the development of technology to operate it efficiently.

Korean Patent Registration No. 10-1789808 (2017.10.18.)

The prior art is to determine the suitability of ship operation by region after collecting marine information to make a forecast. However, the prior art determines whether to operate a ship in consideration of only the marine information, and does not consider the maintenance schedule of the offshore wind farm, so there is an inconvenient problem in that ocean information must be compared separately according to the maintenance schedule of the offshore wind farm.

In the present invention, in scheduling a ship operation schedule for maintenance of an offshore wind farm, the ship to be operated according to the parts requiring maintenance, the number of workers and the used parts are identified, and the marine weather is predicted to be suitable for the maintenance of each part. The purpose is to provide the operability of ships.

The system for providing a ship operation intention support service for maintenance of an offshore wind farm according to an embodiment of the present invention collects information about a wind generator including failure diagnosis information including failure parts information and load and vibration data from an integrated management server. collecting department; a marine weather prediction unit for predicting marine weather for a preset period from the day the fault diagnosis information is collected by the collecting unit; Ship decision support server including; a schedule output unit for outputting a ship operable schedule by reflecting the marine weather prediction predicted by the marine weather prediction unit; and a maintenance database server that receives the failure diagnosis information from the ship decision support server and extracts matching maintenance information, wherein the ship decision support server includes, a change in the collected load and vibration data Further comprising a failure occurrence prediction unit that calculates failure occurrence prediction information including a failure occurrence time/section based on the trend and determines a maintenance possible section, wherein the marine weather prediction unit is the maintenance determined by the failure occurrence prediction unit Predicting marine weather in a possible section, the maintenance database server extracts the maintenance information corresponding to the failure occurrence prediction information calculated by the failure occurrence prediction unit, and the maintenance information is maintenance for each part information of the type of vessel operated, the number of workers and parts used for Determining whether a ship operated for maintenance of parts predicted to fail is operable, and the preset operable reference value is a marine weather state value that can operate a ship according to a ship type among the maintenance information, and the schedule The output unit outputs the vessel operable schedule based on the determined operability, the schedule output unit assigns a priority to the vessel operable schedule, and the priority assigned to the vessel operable schedule is predicted to occur The parts replacement urgency is allocated in the order of increasing urgency, and the schedule output unit can operate the vessel with the highest priority if there are a plurality of vessel operating schedules with relatively low priorities overlapping the highest priority vessel operating schedules. In the schedule, the date overlapping with the vessel operable schedule of the plurality of priorities is relatively low; on a low ship availability schedule Set a schedule for simultaneously performing maintenance of parts whose corresponding failure occurrence is predicted, and the schedule output unit maintains and maintains parts predicted to have a failure corresponding to the highest priority ship operable schedule and the plurality of When a schedule for simultaneously performing maintenance of parts predicted to occur failure corresponding to a vessel operable schedule with a relatively low priority is set, the number of workers and usage required for each of the parts predicted to be maintained and maintained at the same time It may be characterized by excluding duplicates among parts.

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It has the effect of preserving operating profits and reducing maintenance costs by identifying the ship, working personnel and parts used according to the parts that require maintenance of the offshore wind farm, and predicting the offshore weather to operate the ship.

1 is a configuration diagram of a system for providing a ship operation intention support service for maintenance of an offshore wind farm of the present invention.
2 is a flowchart illustrating whether a vessel can operate based on marine weather forecast information according to an exemplary embodiment of the present invention.
3 is a screen that presents a date that a ship can operate for maintenance of an offshore wind farm based on marine weather forecast information according to a preferred embodiment of the present invention.
4 is a detailed screen of the display unit 250 according to a preferred embodiment of the present invention.
5 is a flow chart of providing a ship operation intention support service for maintenance of an offshore wind farm according to a preferred embodiment of the present invention.
6 is a flowchart of a ship operation intention support service according to failure occurrence prediction and marine weather prediction information according to an exemplary embodiment of the present invention.
7 is a flow chart of providing a ship operation intention support service according to priority allocation for maintenance by parts according to a preferred embodiment of the present invention.

Since the present invention can have various changes and can have various embodiments, specific embodiments are illustrated in the drawings and described in detail. However, this is not intended to limit the present invention to specific embodiments, and it should be understood to include all modifications, equivalents, and substitutes included in the spirit and scope of the present invention.

In describing each figure, like reference numerals have been used for like elements. In describing the present invention, if it is determined that a detailed description of a related known technology may obscure the gist of the present invention, the detailed description thereof will be omitted.

Terms such as first, second, etc. may be used to describe various elements, but the elements should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another.

For example, without departing from the scope of the present invention, a first component may be referred to as a second component, and similarly, a second component may also be referred to as a first component.

and/or includes a combination of a plurality of related listed items or any of a plurality of related listed items.

When an element is referred to as being “connected” or “connected” to another element, it is understood that it may be directly connected or connected to the other element, but other elements may exist in between. it should be

On the other hand, when it is said that a certain element is "directly connected" or "directly connected" to another element, it should be understood that the other element does not exist in the middle.

The terms used in the present application are only used to describe specific embodiments, and are not intended to limit the present invention.

The singular expression includes the plural expression unless the context clearly dictates otherwise. In the present application, terms such as “comprise” or “have” are intended to designate that a feature, number, step, operation, component, part, or combination thereof described in the specification exists, but one or more other features It should be understood that this does not preclude the existence or addition of numbers, steps, operations, components, parts, or combinations thereof.

Unless defined otherwise, all terms used herein, including technical and scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

Terms such as those defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related art, and should not be interpreted in an ideal or excessively formal meaning unless explicitly defined in the present application. does not

Hereinafter, a system for providing a ship operation intention support service for maintenance of an offshore wind farm according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings 1 to 4 .

As shown in FIG. 1 , the maintenance database server 100 may include a control unit 110 , a first storage unit 120 , and a first communication unit 130 , and provides fault diagnosis information including faulty part information. , and it is possible to extract maintenance information that matches the faulty part information.

The ship decision support server 200 includes a collection unit 210 , a second communication unit 220 , a marine weather prediction unit 230 , a schedule output unit 240 , and a display unit 250 and a second storage unit 260 . may include, and may receive maintenance information from the maintenance database server 100 .

First, when the maintenance database server 100 is described, the control unit 110 extracts faulty parts information from the fault diagnosis information received by the first communication unit 130 from the second communication unit 220, and stores the first From the data stored in the unit 120, maintenance information corresponding to the broken part information may be extracted.

The first storage unit 120 may store information on maintenance information, that is, the type of failure of the wind generator of the offshore wind farm, the cause of the failure, the type of operation vessel for maintenance by parts, the number of workers, and information on the parts used. . Here, the type of vessel operated for maintenance may be different for each part, and the type of vessel may be classified into a large vessel, a small and medium vessel, and the like. For example, the type of vessel operated for blade maintenance may be a large vessel. This may be information determined based on information on maintenance of the corresponding part in the prior art.

In addition, the used parts may be parts to be replaced for maintenance of the wind power generator.

That is, the control unit 110 includes maintenance information corresponding to the faulty part information received by the first communication unit 130 from the first storage unit 120 , that is, the failure type of the wind power generator, the failure cause, and maintenance for each component. It is possible to extract information about the type of vessel operating, the number of working people, and the parts used.

The first communication unit 130 may transmit the maintenance information extracted by the control unit 110 to the second communication unit 220 of the vessel decision support server 200 .

Next, describing the vessel decision support server 200, the collection unit 210 may collect fault diagnosis information for each wind power generator component from the integrated management server, and the fault diagnosis information may include faulty component information. .

Here, the integrated management server is a system that manages and monitors the wind power generator of the wind farm, and it is a system that collects the operation data of the main components of the wind generator, and can operate the wind farm, manage the output status, and manage the controller of the wind generator. and may be in the form of SCADA.

The second communication unit 220 may transmit the fault diagnosis information including the faulty part information collected by the collection unit 210 from the integrated management server to the first communication unit 130 of the maintenance database server 100 .

The marine weather prediction unit 230 may predict the marine weather for a preset period from the day the fault diagnosis information is collected by the collector 210 .

The marine weather prediction unit 230 may include a significant wave height prediction unit (not shown) and a wind speed prediction unit (not shown).

The significant wave height prediction unit may present significant wave height prediction data of an operation route from a ship departure point to an offshore wind farm for a preset period.

In addition, the wind speed prediction unit may present the wind speed prediction data of the operation route from the ship departure point to the offshore wind farm for a preset period.

The schedule output unit 240 may output a ship operable schedule in consideration of the marine weather prediction information received from the marine weather prediction unit 230 and the maintenance information received from the second communication unit 220 .

In more detail, the schedule output unit 240 receives the marine weather prediction information predicted by the marine weather prediction unit 230 , that is, the significant wave height prediction data and the wind speed prediction data, and in a preset period according to a preset operable reference value. can decide whether to operate.

At this time, the preset operable reference value may be a marine weather state value in which a sailing vessel can operate according to the type of the operating vessel among the maintenance information received from the second communication unit 220, and corresponds to the significant wave height prediction data and the wind speed prediction data. The preset operable reference value may be different.

In addition, the schedule output unit 240 may output a vessel operation possible schedule by determining whether operation is possible in a preset period.

The display unit 250 may output the operable schedule of the ship output from the schedule output unit 240 on the screen. In this case, the user may check the screen output from the display unit 250 through a user terminal (not shown). In addition, the user terminal may make a reservation for departure by confirming a ship operation schedule from among the ship's operable schedules.

The second storage unit 260 may store the ship operable schedule output from the schedule output unit 240 .

2 is a flowchart illustrating whether a ship can operate based on marine weather forecast information. Marine weather forecast information may be derived through machine learning.

The ship decision support server 200 may collect past and present marine weather information of a navigation route from a ship departure point to an offshore wind farm through a marine weather information collecting unit (not shown).

The marine meteorological information collected by the marine meteorological information collecting unit may be input (S201).

And by processing and processing the input marine weather information can be generated as machine learning data (S202).

Next, by using the machine learning model generated by the marine meteorological information, marine weather prediction information predicted from the marine meteorological information collected in the marine meteorological information collection may be output ( S203 ). Here, the marine weather prediction information may be significant wave height prediction data and wind speed prediction data.

In addition, the marine weather prediction information may be information that predicts the marine weather for a preset period from the day the failure diagnosis information is collected by the collection unit 210 of the ship decision support server 200 .

Next, the output marine weather forecast information may be compared with a preset operable reference value (S204).

In this case, the preset operable reference value may be each operable reference value of the significant wave height and wind speed.

It is possible to determine whether operation is possible by comparing the marine weather forecast information output in step S204 with a preset operable reference value, and if the output marine weather forecast information is smaller than the preset operable reference value, operation is possible (S205), If the output marine weather forecast information is greater than a preset operable reference value, operation may not be possible ( S206 ).

FIG. 3 may be a screen presenting a date that a ship can operate for maintenance of an offshore wind farm based on marine weather forecast information according to an exemplary embodiment of the present invention.

The display unit 250 may output the operable schedule of the ship output from the schedule output unit 240 on the screen. A user may check the screen output from the display unit 250 through the user terminal, and may reserve a departure by confirming a ship operation schedule from among the available sailing schedules of the ship.

4 shows a detailed screen of the display unit 250 according to a preferred embodiment of the present invention. The display unit 250 includes the maintenance information received from the second communication unit 220 and the marine weather prediction unit 230 . It is possible to output the marine weather prediction information predicted in and whether the ship can be operated on the corresponding date among the ship's operable schedule output from the schedule output unit 240 to the screen so that the user can check it through the user terminal (not shown). there is.

The ship operation intention support service provision system for such offshore wind farm maintenance identifies the ship to be operated according to the parts requiring maintenance of the offshore wind farm, the number of workers and parts used, and predicts the marine weather to operate the ship. This can have the effect of saving operational profits and maintenance costs.

In the ship decision support server 200 , the collection unit 210 may receive information of the wind power generator including load and vibration data from the integrated management server.

Based on the load and vibration data received from the integrated management server in the collection unit 210, it may further include a failure occurrence prediction unit 270 for predicting the failure of each part of the wind power generator.

The collection unit 210 of the ship decision support server 200 may collect load and vibration data for each component from the integrated management server, and the failure occurrence prediction unit 270 collects the load for each component from the collection unit 210 . And by checking the change trend of the vibration data, it is possible to predict the time/section of the failure of each part.

For example, a machine learning model can be created using a pattern of vibration data that is changed by a crack of a blade collected from a plurality of offshore wind farms as learning data, and using pattern information of vibration data input as learning data. And based on this, it is possible to extract the blade failure time or section.

After the failure occurrence prediction unit 270 predicts the failure occurrence time/section for each component, the second communication unit 220 sets the failure time/section for each component including the failure occurrence time/section for each component predicted by the failure occurrence prediction unit 270 . The occurrence prediction information may be transmitted to the first communication unit 130 of the maintenance database server 100 .

The control unit 110 extracts the component information for which the failure is predicted from among the failure occurrence prediction information for each component received by the first communication unit 130 from the second communication unit 220, and is stored in the first storage unit 120. It is possible to extract maintenance information corresponding to information on parts for which failure is predicted from among the data. In this case, the extracted maintenance information may be information of each component for which the occurrence of a failure is predicted.

In addition, the control unit 110 is based on the maintenance information stored in the first storage unit 120, the number of failures of the wind power generator during a preset period, the number of failures by parts, parts with many failures, and maintenance It is possible to determine the cost incurred and the maintenance work environment. In this case, the preset period may be a period set by the user.

Accordingly, as information for outputting a list of schedules that can be operated simultaneously from the schedule output unit 240 to be described later, the number of failures of the wind power generator during the preset period determined by the control unit 110, the number of failures by parts, and the number of failures occurred Information on parts, costs incurred during maintenance and maintenance work environment may be used.

In addition, such information can be used as the basis for maintenance decision making, and can improve the accuracy of decision making for maintenance. The maintenance decision-making may mean a determination for outputting a ship operation schedule, or may be a determination for determining a ship operation schedule.

At this time, the first storage unit 120 stores maintenance information, that is, the type of failure of the wind power generator of the offshore wind farm, the cause of the failure, the type of operating vessel for maintenance by parts, the number of workers, and information on the parts used. There may be, the control unit 110 in the first storage unit 120, the first communication unit 130 received maintenance information corresponding to the predicted parts information, that is, the failure type of the wind turbine, the cause of the failure, It is possible to extract information on the type of operating vessel, the number of working people, and the parts used for maintenance by parts. As described above, the maintenance information extracted from the first storage unit 120 may be different for each component for which the occurrence of a failure is predicted. The first communication unit 130 may transmit the maintenance information of each of the parts for which the failure occurrence is predicted, extracted by the control unit 110 , to the second communication unit 220 of the ship decision-making support server 200 .

In addition, the failure occurrence prediction unit 270 may determine a maintenance possible section for each component according to the predicted failure time/section for each component. In this case, the maintenance available section for each part may be a time earlier than the time when a failure for each part is expected by a preset period.

The marine weather prediction unit 230 may predict the marine weather in the maintenance possible section determined by the failure occurrence prediction unit 270 .

The significant wave height prediction unit of the marine weather prediction unit 230 presents the significant wave height prediction data of the operation route from the ship departure point to the offshore wind farm in the maintenance available section, and the wind speed prediction unit of the marine weather prediction unit 230 can be maintained It is possible to present the wind speed prediction data of the operation route from the ship departure point to the offshore wind farm in the section.

The schedule output unit 240 includes the marine weather prediction information received from the marine weather prediction unit 230 and the maintenance information and the failure occurrence prediction unit 270 of each of the parts predicted to have a failure received from the second communication unit 220 . It is possible to output the ship operation possible schedule in consideration of the maintenance available section for each part determined in .

In more detail, the constant output unit 240 receives the marine weather prediction information, that is, the significant wave height prediction data and the wind speed prediction data, in the maintenance possible section of each of the parts where the occurrence of a failure is predicted, It is compared with a preset operable reference value according to the type of vessel included in the maintenance information, and it is determined that the marine weather forecast information in the maintenance possible section of each part where failure is predicted is above or below the preset operable reference value So you can decide whether or not you can fly.

In this case, the preset operable reference value may be a marine weather state value in which the corresponding vessel can operate according to the type of the vessel among the maintenance information of each of the parts for which the occurrence of a failure is predicted received from the second communication unit 220, and significant wave height prediction data and preset operable reference values corresponding to wind speed prediction data may be different.

In addition, the schedule output unit 240 may output a ship operable schedule of each of the parts for which the occurrence of a failure is predicted based on whether the operation is possible according to the marine weather prediction in the maintenance possible section of each of the parts for which the occurrence of the failure is predicted.

In addition, the schedule output unit 240 may output a list of schedules in which operations are possible at the same time by identifying overlapping vessel operation possible schedules among the vessel operation possible schedules of each of the parts for which the occurrence of a failure is predicted.

For example, when the vessel operable schedule for blade maintenance is from August 1 to August 11, and the vessel operable schedule for bearing maintenance is from August 8 to August 23 , since the two ships' operational schedules overlap from August 8 to August 11, it is possible to print a list of ship operation schedules to simultaneously perform maintenance of blades and bearings during the period from August 8 to August 11. can At this time, in selecting the type of vessel according to the maintenance information for blade and bearing maintenance, if the vessel for blade maintenance is a large vessel and the vessel for bearing maintenance is a small/medium vessel, a large vessel will be selected. can In addition, duplicates among working personnel and parts used according to maintenance information for blade and bearing maintenance may be excluded. Accordingly, in operating a ship for maintenance, maintenance costs can be reduced.

The vessel operation schedule is only an example and is subject to change.

The display unit 250 may output the schedule list output from the schedule output unit 240 on the screen.

The second storage unit 260 may store the ship operable schedule output from the schedule output unit 240 .

Because there are various factors that cause changes in weather conditions in the ocean, predicting future ocean weather with past data may not be reliable. It is possible to determine whether the vessel can operate through re-prediction of marine weather before.

If ship operation is possible based on the re-prediction of marine weather, the existing ship operation schedule can be proceeded.

However, if it is judged based on the re-prediction of marine weather, if the operation of the vessel is impossible, the vessel operation schedule can be rescheduled, or the vessel can be operated by setting the optimal route based on the data on the occurrence of marine accidents according to the past marine weather. there is.

Marine accident occurrence data according to the marine weather in the past may be stored in the maintenance database server 100, and through machine learning, it is possible to grasp the accident frequency section and the accident risk at sea according to the marine weather through machine learning.

Through this, it is possible to set the optimal route for ship operation for each marine weather situation.

That is, if there is a risk section determined by analyzing marine accident data within the route from the departure point to the offshore wind farm, an optimal flight route can be provided to replace the operation in the risk section.

In this way, by predicting the time/section of failure for each part and setting the maintenance available section for each part in advance, it is possible to operate the ship by collecting the ship operation schedules that overlap the maintainable section, The vessel may not be operated for maintenance, and thus, there may be an effect of preserving operating profits and reducing maintenance costs.

The schedule output unit 240 may output a ship operable schedule of each of the parts for which the occurrence of a failure is predicted. At this time, by giving priority to each of the parts for which the occurrence of a failure is predicted, the ship operation of each of the parts for which the occurrence of a failure is predicted. Priority may be assigned to available schedules. The criteria for assigning the priority of each component that is predicted to fail is in the order of the main components of the wind turbine, and priority can be assigned to the component with high urgency to replace the component. For example, gearboxes, spindle bearings, blades and generators may be given high priority and locks, nose cones and hubs may be given low priority.

The same priority may be assigned to the vessel operable schedule of each of the parts that have been given the priority in this way and the occurrence of failure is predicted, for example, the vessel operable schedule for the maintenance of the gearbox and the maintenance of the blade A high priority may be given to the vessel operable schedule for maintenance, and a low priority may be given to the vessel operable schedule for the maintenance of the locking device and the vessel operable schedule for the maintenance of the nose cone.

Based on the priority given to the vessel operable schedule of each component for which the occurrence of failure is predicted, overlapping vessel operable schedules are identified among the vessel operable schedules of each component for which the occurrence of failure is predicted, and a list of schedules that can be operated at the same time can be printed out.

It is possible to determine whether there is an overlapping vessel operable schedule centering on the highest priority vessel operable schedule among the vessel operable schedules of each component that is predicted to fail.

If there is no vessel operable schedule overlapping the vessel operable schedule with the highest priority, the vessel operable schedule with the highest priority may be independently scheduled.

If there is a vessel operable schedule that overlaps with the vessel operable schedule having the highest priority, the vessel operation schedule may be scheduled with the highest priority vessel operable schedule priority.

For example, the vessel operable schedule for maintenance of high-priority gearboxes is from August 11 to 20, and the operable schedule for maintenance of low-priority locks is in August. From 15th to 30th of August, vessels can be operated for maintenance of low-priority Nosecon. Ships can be operated simultaneously by scheduling the ship's operation schedule from August 11th to August 15th, giving priority to the schedule. At this time, the low-priority vessel operation schedule can be adjusted within the maximum range that can delay maintenance.

In addition, when there are vessel operable schedules with low priority, it is possible to determine whether there are overlapping vessel operable schedules and output a list of schedules capable of operating at the same time.

Conversely, if there are vessel operable schedules with low priority but no overlapping vessel schedules, maintenance may be adjusted within the maximum possible delay range to change the vessel operable schedules to overlap.

For example, if the vessel operation schedule for maintenance of the lock is from August 1 to August 10, and the vessel operation schedule for maintenance of the nose cone is from August 15 to August 30, In this case, by adjusting the maintenance of the locking device within the maximum possible delay range, the vessel operation schedule for maintenance of the locking device may be changed from August 1 to August 15.

Alternatively, the ship operation schedule for maintenance can be adjusted within the maximum range where maintenance can be performed in advance. can be changed

In this way, by setting the vessel operation schedule by giving priority to the vessel operation schedule, it is possible to check the vessel operation schedule for maintenance that requires urgency of maintenance You can schedule ship operation by securing the schedule as the top priority.

In addition, by identifying the vessel operating schedule that overlaps with the high priority vessel operating schedule and simultaneously confirming the vessel operating schedule, the vessel may not be operated for maintenance whenever a breakdown by part occurs, and the operating profits are preserved. and can reduce maintenance costs.

Hereinafter, a method of providing a ship operation intention support service for maintenance of an offshore wind farm according to the present invention according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings 5 to 7 .

Referring to FIG. 5 , in order to provide a ship operation intention support service for maintenance of an offshore wind farm, first, the collection unit 210 may collect fault diagnosis information ( S501 ).

The fault diagnosis information collected by the collection unit 210 may include faulty parts information, and the control unit 120 may extract maintenance information matching the faulty parts information collected by the collection unit 210 ( S502).

At this time, the maintenance information may be information on the type of failure, the cause of the failure, the type of vessel for maintenance of the defective parts, the number of workers and the parts used, and may be information accumulated through the maintenance work of the conventional offshore wind farm. there is.

In addition, the marine weather prediction unit 230 may predict the marine weather for a preset period from the day the collection unit 210 collects the failure diagnosis information in step S501 ( S503 ).

Marine weather prediction may be made based on significant wave height and wind speed, and the marine weather prediction unit 230 may provide marine weather prediction information based on predicted data of a navigation route from a ship port to an offshore wind farm.

The schedule output unit 240 may combine the maintenance information extracted by the control unit 120 in step S502 and the marine weather prediction information predicted by the marine weather prediction unit 230 in step S503 to output a ship operable schedule ( S504).

In this case, the display unit 250 may output the ship's operable schedule output by the schedule output unit 240 in step S504 on the screen. A user may check the screen output from the display unit 250 through the user terminal, and may reserve a departure by confirming a ship operation schedule from among the available sailing schedules of the ship.

Referring to FIG. 6 , as a method of providing a ship operation intention support service for offshore wind farm maintenance, first, the collection unit 210 may collect load and vibration data for each part of the wind power generator in the offshore wind farm (S601). .

Next, the failure occurrence prediction unit 270 may predict failure occurrence for each component based on the load and vibration data for each component collected by the collection unit 210 ( S602 ).

At this time, the failure occurrence prediction unit 270 may generate a machine learning model by using the pattern for the change trend of load and vibration data for each part as learning data, and failure occurs for each part using the generated machine learning model. can make predictions. Here, the failure occurrence prediction for each part may include information on the part for which the failure is expected to occur, the time/section of the failure occurrence for each part, and the like.

Next, the control unit 120 may extract the maintenance information for each part corresponding to the failure occurrence prediction information for each part (S603).

The failure occurrence prediction unit 270 may determine a maintenance possible section for each part based on the failure occurrence time/section for each part included in the maintenance information for each part extracted by the control unit 120 in step S603 ( S604 ).

Next, the marine weather prediction unit 230 may predict the marine weather corresponding to the maintenance possible section for each part (S605).

Marine weather prediction may be made based on significant wave height and wind speed, and the marine weather prediction unit 230 may provide marine weather prediction information based on predicted data of a navigation route from a ship port to an offshore wind farm.

In addition, the schedule output unit 240 may output the ship operation schedule of each of the failure occurrence prediction parts in consideration of the marine weather forecast information, the maintenance information for each part, and the maintenance possible section of each part where the failure is predicted ( S606).

That is, the marine weather forecast information is received in the maintenance possible section of each of the parts for which the occurrence of a failure is predicted, and compared with a preset operable reference value according to the type of vessel included in the maintenance information of each of the parts for which the occurrence of a failure is predicted. In addition, it is possible to determine whether the operation is possible by determining whether the marine weather forecast information in each of the parts where the failure is expected to occur is greater than or less than the preset operational reference value in the maintenance possible section, and the operational schedule can be determined based on the operational availability. can be printed

In addition, the schedule output unit 240 may identify overlapping vessel operable schedules among vessel operable schedules of each of the failure occurrence prediction parts, and output a list of operable schedules at the same time (S607).

In this case, the display unit 250 may output a list of schedules in which the schedule output unit 240 can simultaneously operate on the screen in step S607 . The user may check the screen output from the display unit 250 through the user terminal.

According to the embodiment of FIG. 7 , the same process as steps S601 to S606 of FIG. 6 may be performed, and the schedule output unit 240 may output a ship operable schedule of each of the failure occurrence prediction parts ( S701 ).

Next, the schedule output unit 240 may allocate the priority of the ship operable schedules of each of the failure occurrence prediction parts output in step S701 (S702).

In this case, the priority assignment to the ship operable schedule of each of the parts for which the occurrence of a failure is predicted may be the same as the priority of each of the parts for which the occurrence of a failure is given priority. The criteria for assigning the priority of each component that is predicted to fail is in the order of the main components of the wind turbine, and priority can be assigned to the component with high urgency to replace the component. For example, a gearbox and blades may be given a high priority and a lock and a nose cone may be given a low priority, thus the ship's operational schedule for the maintenance of the gearbox and the maintenance of the blades. The vessel operable schedule may be given high priority, and the vessel operable schedule for the maintenance of the locking device and the vessel operable schedule for the maintenance of the nose cone may be given low priority.

And the schedule output unit 240 is based on the priority given to the vessel operation schedule of each of the parts for which the occurrence of a failure is predicted, the highest priority among the vessel operation schedules of the parts for which the failure is predicted, the highest priority can be operated It is possible to determine whether there is an overlapping vessel operation schedule centered on the schedule.

The schedule output unit 240 may determine whether there is a schedule with a low priority in which a schedule with a high priority and a maintenance section overlap with a schedule with a high priority among the ship operation possible schedules to which the priority is assigned ( S703 ).

Next, the schedule output unit 240, if there is a vessel operable schedule that overlaps with the vessel operable schedule having the highest priority, the schedule output unit 240 may schedule the vessel operation schedule with the highest priority vessel operable schedule priority (S704) .

For example, the operable schedule for the maintenance of the high-priority gearbox is from August 11 to 20, and the operable schedule for the maintenance of the low-priority locking device is in August. From the 15th to August 30th, the vessel can be operated for maintenance of the low-priority Nosecon. Ships can be operated simultaneously by scheduling the ship's operation schedule from August 11th to August 15th, giving priority to the schedule.

Conversely, if there is no vessel operable schedule overlapping with the highest priority vessel operable schedule in step S703, the schedule output unit 240 may schedule the highest priority vessel operable schedule independently, and the priority is the highest. If there are vessel operable schedules of low priority that do not overlap with the high vessel operable schedule, the vessel operation schedule may be scheduled by combining the vessel operable schedules with lower priorities ( S705 ).

100: maintenance database server
110: control unit
120: first storage unit
130: first communication unit
200: ship decision support server
210: collection unit
220: second communication unit
230: marine weather forecasting unit
240: constant output unit
250: display unit
260: second storage unit
270: failure prediction unit

Claims (3)

a collection unit for collecting information of the wind power generator including fault diagnosis information including faulty parts information, load and vibration data from the integrated management server;
a failure occurrence prediction unit that calculates failure occurrence prediction information including a failure occurrence time/section based on the change trend of the collected load and vibration data, and determines a maintenance possible section;
a marine weather prediction unit for predicting marine weather in the maintainable section determined by the failure occurrence prediction unit;
Comparing the marine weather prediction information in the maintainable section with a preset operable reference value to determine whether a vessel operated for maintenance of parts predicted to fail in the maintainable section is operable, a schedule output unit for outputting a vessel operable schedule based on the determined operability;
Ship decision support server comprising a; and
Includes; a maintenance database server that receives the failure occurrence prediction information from the ship decision support server and extracts maintenance information matching the failure occurrence prediction information;
The maintenance information includes information on the type of ship operated for maintenance by parts, the number of workers and the parts used,
The preset operable reference value is a marine meteorological state value in which a vessel can be operated according to a vessel type among the maintenance information,
The schedule output unit assigns a priority to the vessel operation possible schedule,
The priority assigned to the ship operable schedule is assigned in the order of the highest urgency to replace parts that are predicted to fail,
When the schedule output unit has a plurality of vessel operable schedules having relatively low priorities overlapping with the vessel operable schedule having the highest priority, the plurality of priorities among the vessel operable schedules having the highest priority are relatively low The date overlapping with the ship's operable schedule is determined by the maintenance of parts that are expected to fail corresponding to the operable schedule of the vessel with the highest priority and the occurrence of a failure corresponding to the operable schedule of the plurality of vessels with relatively low priorities. Schedule to perform maintenance of predicted parts at the same time,
The schedule output unit is the maintenance of parts for which the occurrence of a failure corresponding to the vessel operable schedule having the highest priority is predicted, and the plurality of priority parts for which the occurrence of a failure is predicted corresponding to the vessel operable schedule having a relatively low priority. Ship operation intention for maintenance of an offshore wind farm, characterized in that, when a schedule for performing maintenance at the same time is set, overlapping among the working personnel and used parts required for each of the parts predicted to be maintained and failing at the same time is excluded Support service delivery system.

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