Offshore wind farm equipment operation and maintenance method and system

Abstract

The present invention discloses a method and system for operating and maintaining offshore wind farm equipment, wherein the method comprises steps 1-9, and the system comprises a historical operating parameter acquisition module, an equipment fault diagnosis model construction module, an operating data acquisition module, a judgment module, a wind farm operation and maintenance point processing module, and an optimization module. The system monitors the equipment status by establishing an equipment fault diagnosis model, and automatically generates an offshore wind farm operation and maintenance plan based on the inherent maintenance cycle of the equipment. The system also determines the optimal operation and maintenance route based on the established offshore wind farm location coordinates and an ant colony algorithm, thereby assisting in the implementation of the operation and maintenance plan. The system comprehensively considers the dynamic changes of offshore operation and maintenance points, the risk avoidance of ships in shallow waters, and other situations, and combines the actual operation and maintenance plan to perform reasonable optimal operation and maintenance route planning.

Description

Technical Field

[0001] The present invention relates to the field of offshore wind farm equipment operation and maintenance, and in particular to an offshore wind farm equipment operation and maintenance method and system. Background Art

[0002] With the explosive growth of offshore wind farms, the demand for intelligent operation and maintenance of offshore wind farms is increasing. Compared with onshore wind farms, offshore wind farms are located in more severe environmental conditions. Offshore wind farms are affected by harsh environmental factors such as high temperature, salt spray, and corrosion. At the same time, they are also accompanied by extreme weather conditions such as typhoons, thunderstorms, and ice floes. Some sea areas have large shallows, and the intertidal zone is significantly affected by tides. This results in a poor operating environment for offshore wind farm equipment, a high failure rate of wind turbines, and a limited time window for offshore operation and maintenance operations. At the same time, offshore wind farms are inconvenient to transport and have poor accessibility. Currently, the main mode of transportation for offshore operation and maintenance personnel to carry machinery, equipment, and spare parts for sea transportation is ship transportation. The operation and maintenance ships are restricted by factors such as sea conditions and weather, making it difficult to plan the ship's operations in advance. At the same time, the cost of a single sea trip is high. How to more reasonably plan the sea route based on the inspection tasks? There are management loopholes in the safety supervision of offshore workers. Therefore, how to strengthen daily operation and maintenance inspections urgently requires the provision of more intelligent management methods to participate.

[0003] At present, the operation and maintenance inspection methods of offshore wind farms are single. Compared with onshore wind farms, offshore wind farm inspections are more difficult and there are greater safety risks. Although there are drone inspection solutions and unmanned inspections replaced by automated fault diagnosis, drone inspections are difficult to solve the problem of refined inspection operations, and there are also situations where they cannot replace daily inspections by personnel, especially internal inspections of wind turbines. The unmanned inspection methods replaced by automated fault diagnosis rely on the accuracy of fault diagnosis and there is a possibility of missed faults. Traditional manual inspections cannot be completely replaced. In view of the current high cost of manual inspection operation and maintenance, the randomness of faulty wind turbines, and the need to avoid blind operation and maintenance, it is necessary to comprehensively consider the dynamic changes of offshore operation and maintenance points, offshore obstacles (shoals, navigation marks, lighthouses, etc.), etc., and combine the actual operation and maintenance plan to carry out reasonable operation and maintenance route optimization planning. Summary of the Invention

[0004] The technical problem to be solved by the present invention is that the current means of operation and maintenance inspection of offshore wind farms are single. Compared with onshore wind farms, offshore wind farm inspections are more difficult and pose greater safety risks. Although there are drone inspection solutions and unmanned inspections that can be replaced by automated fault diagnosis, drone inspections are difficult to solve the problem of refined inspection operations and there are also situations where they cannot replace daily inspections by personnel, especially for internal inspections of wind turbines. Unmanned inspection methods replaced by automated fault diagnosis rely on the accuracy of fault diagnosis and may miss faults. Traditional manual inspections cannot be completely replaced. The present invention provides an offshore wind farm equipment operation and maintenance method and an offshore wind farm equipment operation and maintenance system. The present invention monitors the equipment status by establishing an equipment fault diagnosis model. At the same time, based on the inherent maintenance cycle of the equipment, an offshore wind farm operation and maintenance plan is automatically generated. Based on the established offshore wind farm location coordinates, an ant colony algorithm is used to optimize the operation and maintenance route, thereby assisting in the implementation of the operation and maintenance plan. Taking into account the dynamic changes of offshore operation and maintenance points and the risk avoidance of ships in shallow waters at sea, reasonable operation and maintenance route optimization planning is carried out in combination with the actual operation and maintenance plan to address the defects caused by the existing technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] In a first aspect, a method for operating and maintaining offshore wind farm equipment comprises the following steps:

[0007] Step 1: Obtain historical operating parameter data of equipment within the offshore wind farm operation and maintenance coverage area;

[0008] Step 2: Establishing an equipment fault diagnosis model based on the historical operating parameter data;

[0009] Step 3: Acquire operating data of equipment within the offshore wind farm operation and maintenance coverage area in real time, input the operating data into the equipment fault diagnosis model to perform fault diagnosis, and mark the equipment diagnosed as faulty;

[0010] Step 4: Obtain the operating data of the device marked as faulty, and determine whether the faulty device requires maintenance based on the device's fixed maintenance cycle. If not, proceed to step 3; if yes, proceed to step 5.

[0011] Step 5: Obtaining the operating data of the faulty device, as well as the location coordinates and geographic information of the faulty device and the shallows within the wind farm operation and maintenance coverage area;

[0012] Step 6: Establishing wind farm operation and maintenance point data based on the operating data of the faulty equipment, the location coordinates and geographic information;

[0013] Step 7: Obtain the coordinates of the obstacle area in the wind farm, and perform route planning for the wind farm operation and maintenance points according to the coordinates of the obstacle area in the wind farm and an obstacle avoidance strategy to obtain point route data;

[0014] Step 8: Optimize the point route according to the ant colony algorithm to obtain the operation and maintenance route;

[0015] Step 9: guiding the operation and maintenance vessel to go out to sea for operation according to the operation and maintenance route;

[0016] In step 7, the specific method for performing route planning for the wind farm operation and maintenance points according to the coordinates of the obstacle area in the wind farm and the obstacle avoidance strategy to obtain the point route is as follows:

[0017] Any two of the wind farm operation and maintenance points are connected;

[0018] If there are no obstacles on the connecting line, the wind farm operation and maintenance point will be retained;

[0019] If there is an obstacle on the connecting line, the vertex of the polygon is obtained by taking the edge of the obstacle or the intersection point of the circle with the obstacle as the center and the connecting line is obtained to avoid obstacles and obtain a new wind farm operation and maintenance point;

[0020] Route planning is performed based on all the wind farm operation and maintenance points to obtain the point route.

[0021] The equipment within the wind farm operation and maintenance coverage area includes wind turbine equipment and booster station supporting equipment.

[0022] The specific method for establishing the equipment fault diagnosis model based on the historical operating parameter data in step 2 is as follows:

[0023] Preprocessing the historical operating parameter data and then performing interpolation, normalization, and cleaning to obtain preprocessed data;

[0024] Marking normal data and abnormal data on the preprocessed data to obtain marked data;

[0025] Analyze the equipment operating conditions according to the marked data to obtain operating condition data;

[0026] Establishing an initial model for equipment fault diagnosis based on the operating condition data and a similarity operator;

[0027] The pre-processed data is used to train the fault diagnosis and early warning model to obtain an equipment fault diagnosis model.

[0028] The specific method for optimizing the point route to obtain the operation and maintenance route in step 8 according to the ant colony algorithm is as follows:

[0029] Initialize the parameters of the ant colony algorithm, set the starting time t=0, and the maximum number of iterations to N max , the pheromone T on each path at the initial moment ij (0)=0, set the initial values of α, β, ρ, and Q;

[0030] Establish a taboo list to ensure that there are no operation and maintenance points or obstacle avoidance coordinate points on the taboo list in the initial stage;

[0031] Randomly placing m ants at k ship docking points, with at most one ant distributed at each wind farm operation and maintenance point, storing the operation and maintenance points where the m ants are located in the taboo list, and updating the number of cycles;

[0032] Extract the wind farm operation and maintenance points that each ant has not experienced from the taboo list, and select the next wind farm operation and maintenance point using the roulette algorithm according to the probability conversion formula, and add all the wind farm operation and maintenance points to the taboo list until the ants have traversed all the wind farm operation and maintenance points, ending the current round of ant cycle activity;

[0033] The m ants traverse the k ship docking points, and connect the paths with the most pheromones to obtain the operation and maintenance route;

[0034] The probability conversion formula is as follows:

[0035] ;

[0036] Among them, p k ij (t) is the ship stop that the ant needs to reach at time t, τ ij is the pheromone on (i,j), η ij =1 / d ij is the heuristic factor for moving from location i to location j, τ is is the pheromone on (i,s), η is =1 / d ij is the heuristic factor for moving from location i to location s, allowed k Set the location that Ant K is allowed to visit next, taku k The taboo list is used to record the locations that ant k has currently passed.

[0037] The pheromone is updated according to the following formula:

[0038] ;

[0039] ;

[0040] Among them, τij is the pheromone on (i, j), ρ is the pheromone volatility coefficient, 0<ρ≤1, is the amount of pheromone left by the kth ant on the path (i, j) in this cycle, k represents the ant number, 1≦k≦m.

[0041] An offshore wind farm equipment operation and maintenance system, comprising a historical operation parameter acquisition module, an equipment fault diagnosis model construction module, an operation data acquisition module, a judgment module, a wind farm operation and maintenance point processing module, and an optimization module;

[0042] The historical operating parameter acquisition module is used to obtain historical operating parameter data of equipment in the offshore wind farm operation and maintenance coverage area;

[0043] The equipment fault diagnosis model building module is used to obtain the historical operating parameter data and build an equipment fault diagnosis model;

[0044] The operation data acquisition module is used to acquire the operation data of the equipment in the operation and maintenance coverage area of the offshore wind farm in real time, and transmit the operation data to the equipment fault diagnosis model for fault diagnosis;

[0045] It is also used to mark equipment diagnosed as faulty;

[0046] The judgment module is used to obtain the operating data of the equipment marked as faulty, and judge whether the operating data of the faulty equipment needs operation and maintenance according to the fixed operation and maintenance cycle of the equipment. If not, a re-acquisition signal is generated and fed back to the operating data acquisition module; if necessary, an execution signal is generated and transmitted to the wind farm operation and maintenance point processing module;

[0047] The wind farm operation and maintenance point processing module obtains the operation data of the faulty equipment, and the position coordinates and geographic information of the faulty equipment and the shallows within the wind farm operation and maintenance coverage area according to the execution signal;

[0048] It is also used to establish wind farm operation and maintenance point data based on the operating data of the faulty equipment, the location coordinates and geographic information;

[0049] It is also used to obtain the coordinates of the obstacle area in the wind farm, and to plan the route of the wind farm operation and maintenance point according to the obstacle area coordinates in the wind farm and the obstacle avoidance strategy to obtain point route data;

[0050] The optimization module is used to optimize the point route according to the ant colony algorithm to obtain an operation and maintenance route, and guide the operation and maintenance ship to go out to sea for operation according to the operation and maintenance route.

[0051] A chip comprises: a processor configured to call and run a computer program from a memory, so that a device equipped with the chip executes: a method as described in any one of the first aspects.

[0052] The technical solution provided by the above-mentioned offshore wind farm equipment operation and maintenance method and system of the present invention has the following technical effects:

[0053] By establishing an equipment fault diagnosis model to monitor the equipment status, and based on the inherent maintenance cycle of the equipment, an offshore wind farm operation and maintenance plan is automatically generated. Based on the established offshore wind farm location coordinates, the optimal operation and maintenance route is determined based on the ant colony algorithm, thereby assisting in the implementation of the operation and maintenance plan. Taking into account the dynamic changes of offshore operation and maintenance points, the risk avoidance of ships in shallow waters at sea, and other situations, combined with the actual operation and maintenance plan, reasonable operation and maintenance route optimization planning is carried out. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 This is a flow chart of an offshore wind farm equipment operation and maintenance method according to the present invention;

[0055] Figure 2 This is a structural diagram of an offshore wind farm equipment operation and maintenance system of the present invention.

[0056] The accompanying drawings are numerals as follows:

[0057] Historical operating parameter acquisition module 100, equipment fault diagnosis model construction module 200, operation data acquisition module 300, judgment module 400, wind farm operation and maintenance point processing module 500, optimization module 600. DETAILED DESCRIPTION

[0058] In order to make the technical means, creative features, objectives and effects of the invention easy to understand, the technical solutions in the embodiments of the present invention are clearly and completely described below in combination with specific illustrations. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments.

[0059] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative work shall fall within the scope of protection of the present invention.

[0060] It should be noted that the structures, proportions, sizes, etc. illustrated in the drawings in this specification are only used to match the contents disclosed in the specification so that people familiar with this technology can understand and read them. They are not used to limit the conditions under which the present invention can be implemented. Therefore, they have no substantive technical significance. Any modification of the structure, change in the proportion relationship or adjustment of the size should still fall within the scope of the technical content disclosed in the present invention without affecting the efficacy and purpose that can be achieved by the present invention.

[0061] At the same time, the terms such as "upper", "lower", "left", "right", "middle" and "one" quoted in this specification are only for the convenience of description and are not used to limit the scope of implementation of the present invention. Changes or adjustments to their relative relationships should be regarded as the scope of implementation of the present invention without substantially changing the technical content.

[0062] The first embodiment of the present invention is to provide an offshore wind farm equipment operation and maintenance method, and the second embodiment is to provide an offshore wind farm equipment operation and maintenance system, the purpose of which is to monitor the equipment status by establishing an equipment fault diagnosis model, and at the same time automatically generate an offshore wind farm operation and maintenance plan based on the inherent maintenance cycle of the equipment, and based on the established offshore wind farm location coordinates, perform the optimal operation and maintenance route based on the ant colony algorithm, thereby assisting in the implementation of the operation and maintenance plan, comprehensively considering the dynamic changes of offshore operation and maintenance points, offshore ship shallow risk avoidance, etc., combined with the actual operation and maintenance plan, and perform reasonable operation and maintenance route optimal planning.

[0063] like Figure 1 As shown, in a first aspect and a first embodiment, a method for operating and maintaining offshore wind farm equipment comprises the following steps:

[0064] Step 1: Obtain historical operating parameter data of equipment within the offshore wind farm operation and maintenance coverage area;

[0065] Step 2: Establish an equipment fault diagnosis model based on historical operating parameter data;

[0066] Step 3: Obtain real-time operating data of equipment within the offshore wind farm operation and maintenance coverage area, input the operating data into the equipment fault diagnosis model for fault diagnosis, and mark the equipment diagnosed as faulty;

[0067] Step 4: Obtain the operating data of the device marked as faulty, and determine whether maintenance is required based on the device's fixed maintenance cycle. If not, proceed to step 3; if yes, proceed to step 5.

[0068] Step 5: Obtain the operating data of the faulty equipment, as well as the location coordinates and geographic information of the faulty equipment and the shallows within the wind farm operation and maintenance coverage area;

[0069] Step 6: Establish wind farm operation and maintenance point data based on the operating data, location coordinates and geographic information of the faulty equipment;

[0070] Step 7: Obtain the coordinates of the obstacle area in the wind farm, and plan the route of the wind farm operation and maintenance points according to the obstacle avoidance strategy based on the coordinates of the obstacle area in the wind farm to obtain point route data;

[0071] Step 8: Optimize the point route based on the ant colony algorithm to obtain the operation and maintenance route;

[0072] Step 9: Guide the operation and maintenance vessel to go out to sea for operation according to the operation and maintenance route.

[0073] In the above-mentioned offshore wind farm equipment operation and maintenance method, the equipment within the wind farm operation and maintenance coverage area includes wind turbines and booster stations.

[0074] In the above-mentioned offshore wind farm equipment operation and maintenance method, the specific method for establishing an equipment fault diagnosis model based on historical operating parameter data in step 2 is as follows:

[0075] Preprocess the historical operating parameter data and then perform interpolation, normalization, and cleaning to obtain preprocessed data. Data collection must cover a sufficiently long operating period (for example, operating parameter data for the entire life cycle of the equipment), and each set of sample data must be collected simultaneously.

[0076] Marking normal data and abnormal data on the preprocessed data to obtain labeled data;

[0077] Analyze the equipment operating conditions according to the marked data to obtain the operating condition data;

[0078] Establish an initial model for equipment fault diagnosis based on the similarity operator according to the working condition data;

[0079] The preprocessed data is used to train the fault diagnosis and early warning model to obtain the equipment fault diagnosis model.

[0080] In the above-mentioned offshore wind farm equipment operation and maintenance method, the specific method for obtaining the point route by performing route planning for the wind farm operation and maintenance points according to the obstacle area coordinates in the wind farm and the obstacle avoidance strategy in step 7 is as follows:

[0081] Any two wind farm operation and maintenance points are connected;

[0082] If there are no obstacles on the connecting line, the wind farm operation and maintenance point will be retained;

[0083] If there is an obstacle on the connecting line, the vertex of the polygon is obtained by taking the edge of the obstacle or the intersection point of the circle with the obstacle as the center and the connecting line is obtained to avoid obstacles and obtain a new wind farm operation and maintenance point;

[0084] Route planning is performed based on all wind farm operation and maintenance points to obtain point routes.

[0085] In the above-mentioned method for operating and maintaining offshore wind farm equipment, the specific method for optimizing the point route according to the ant colony algorithm in step 8 to obtain the operation and maintenance route is as follows:

[0086] Initialize the parameters of the ant colony algorithm, set the starting time t=0, and the maximum number of iterations to N max, the pheromone T on each path at the initial moment ij (0)=0, set the initial values of α, β, ρ, and Q;

[0087] Establish a taboo list to ensure that there are no operation and maintenance points or obstacle avoidance coordinate points in the initial taboo list. The taboo list is an initialization array of the ant algorithm. The list is empty at the beginning. Every time the ant passes through a point, it adds the point to the taboo list. An ant can only reach a point once, and the list records the points reached by each ant.

[0088] Randomly place m ants at k ship docking points, with at most one ant distributed at each wind farm operation and maintenance point. Store the operation and maintenance points where the m ants are located in the taboo list and update the number of cycles.

[0089] Extract the wind farm operation and maintenance points that each ant has not experienced from the taboo list, and select the next wind farm operation and maintenance point using the roulette algorithm based on the probability conversion formula. Add all wind farm operation and maintenance points to the taboo list until the ant has traversed all wind farm operation and maintenance points, ending the current round of ant activity.

[0090] Have m ants traverse k ship docking points, connect the paths with the most pheromones, and obtain the operation and maintenance route;

[0091] The probability conversion formula is as follows:

[0092] ;

[0093] Where p k ij (t) is the ship stop that the ant needs to reach at time t, τ ij is the pheromone on (i,j), η ij =1 / d ij is the heuristic factor for moving from location i to location j, τ is is the pheromone on (i,s), η is =1 / d ij is the heuristic factor for moving from location i to location s, allowed k Set the location that Ant K is allowed to visit next, taku k The taboo list is used to record the places that ant k has currently walked through;

[0094] The basic model of the ant colony algorithm is:

[0095] ;

[0096] in, is the amount of pheromone left by the kth ant on the path (i, j) in this cycle, k represents the ant number, Q is the pheromone constant, which represents the total amount of pheromone released by the ant in one cycle; L k is the total length of the path traversed by the kth ant.

[0097] In the above-mentioned offshore wind farm equipment operation and maintenance method, the pheromone is updated according to the following formula:

[0098] ;

[0099] ;

[0100] Among them, τ ij is the pheromone on (i, j), ρ is the pheromone volatility coefficient, 0<ρ≤1, is the amount of pheromone left by the kth ant on the path (i, j) in this cycle, k represents the ant number, 1≦k≦m.

[0101] like Figure 2 As shown, in the second aspect, the second embodiment is an offshore wind farm equipment operation and maintenance system, which includes a historical operation parameter acquisition module 100, an equipment fault diagnosis model construction module 200, an operation data acquisition module 300, a judgment module 400, a wind farm operation and maintenance point processing module 500, and an optimization module 600;

[0102] The historical operating parameter acquisition module 100 is used to obtain historical operating parameter data of equipment within the offshore wind farm operation and maintenance coverage area;

[0103] Equipment fault diagnosis model building module 200, used to obtain historical operating parameter data and build an equipment fault diagnosis model;

[0104] The operation data acquisition module 300 is used to obtain the operation data of the equipment in the offshore wind farm operation and maintenance coverage area in real time, and transmit the operation data to the equipment fault diagnosis model for fault diagnosis;

[0105] It is also used to mark equipment diagnosed as faulty;

[0106] The judgment module 400 is used to obtain the operating data of the equipment marked as faulty and determine whether the operating data of the faulty equipment requires operation and maintenance according to the fixed operation and maintenance cycle of the equipment. If not, a re-acquisition signal is generated and fed back to the operation data acquisition module 300. If it is required, an execution signal is generated and transmitted to the wind farm operation and maintenance point processing module 500.

[0107] The wind farm operation and maintenance point processing module 500 obtains the operating data of the faulty equipment, as well as the location coordinates and geographic information of the faulty equipment and the shallows within the wind farm operation and maintenance coverage area according to the execution signal;

[0108] It is also used to establish wind farm operation and maintenance point data based on the operating data, location coordinates and geographic information of faulty equipment;

[0109] It is also used to obtain the coordinates of the obstacle area in the wind farm, and to plan the route of the wind farm operation and maintenance points according to the obstacle avoidance strategy based on the coordinates of the obstacle area in the wind farm to obtain the point route data;

[0110] The optimization module 600 is used to optimize the point route according to the ant colony algorithm to obtain the operation and maintenance route, and guide the operation and maintenance ship to go out to sea for operation according to the operation and maintenance route.

[0111] In a third aspect, a chip comprises: a processor for calling and running a computer program from a memory, so that a device equipped with the chip executes: a method as described in any one of the first aspects.

[0112] For example, the memory may include random access memory, flash memory, read-only memory, programmable read-only memory, non-volatile memory or registers;

[0113] The processor may be a central processing unit (CPU) or a graphics processing unit (GPU). The memory may store executable instructions.

[0114] The processor may execute the execution instructions stored in the memory to implement the various processes described herein.

[0115] It will be appreciated that the memory in this embodiment may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories;

[0116] Among them, the non-volatile memory can be ROM (Read-Only Memory), PROM (Programmable ROM), EPROM (Erasable PROM), EEPROM (Electrically EPROM) or flash memory.

[0117] The volatile memory may be RAM (Random Access Memory), which is used as an external cache;

[0118] By way of example and not limitation, many forms of RAM are available, such as SRAM (Static RAM), DRAM (Dynamic RAM), SDRAM (Synchronous DRAM), DDR SDRAM (Double Data Rate SDRAM), ESDRAM (Enhanced SDRAM), SLDRAM (Synchlink DRAM), and DRRAM (Direct Rambus RAM). The memory 205 described herein is intended to include, but is not limited to, these and any other suitable types of memory 205.

[0119] In some embodiments, the memory stores the following elements, upgrade packages, executable units or data structures, or a subset thereof, or an extended set thereof: an operating system and applications;

[0120] The operating system includes various system programs, such as the framework layer, core library layer, and driver layer, which are used to implement various basic services and process hardware-based tasks.

[0121] The application program includes various application programs for implementing various application services. The program for implementing the method of the embodiment of the present invention can be included in the application program.

[0122] It will be apparent to those skilled in the art that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of software and electronic hardware;

[0123] Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution;

[0124] Those skilled in the art may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0125] In the embodiments of the present application, the disclosed systems, devices, and methods may be implemented in other ways;

[0126] For example, the division of units or modules is only a logical function division, and there may be other division methods in actual implementation;

[0127] For example, multiple units or modules or components may be combined or may be integrated into another system;

[0128] In addition, each functional unit or module in the embodiment of the present application may be integrated into one processing unit or module, or may exist separately physically, etc.

[0129] It should be understood that in the various embodiments of the present application, the size of the serial number of each process does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0130] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a machine-readable storage medium;

[0131] Therefore, the technical solution of the present application can be embodied in the form of a software product, which can be stored in a machine-readable storage medium and can include several instructions for causing an electronic device to execute all or part of the processes of the technical solution described in the embodiments of the present application;

[0132] The above-mentioned storage medium may include ROM, RAM, removable disk, hard disk, magnetic disk or optical disk, etc., which can store program codes.

[0133] In summary, the present invention provides an offshore wind farm equipment operation and maintenance method and system, which monitors the equipment status by establishing an equipment fault diagnosis model. At the same time, it automatically generates an offshore wind farm operation and maintenance plan based on the inherent maintenance cycle of the equipment. Based on the established offshore wind farm location coordinates, it uses the ant colony algorithm to optimize the operation and maintenance route, thereby assisting in the implementation of the operation and maintenance plan. It comprehensively considers the dynamic changes of offshore operation and maintenance points, the risk avoidance of ships in shallow waters at sea, and other situations, and combines the actual operation and maintenance plan to make reasonable optimal planning of the operation and maintenance route.

[0134] The above describes specific embodiments of the invention. It should be understood that the invention is not limited to the specific embodiments described above. Devices and structures not described in detail should be understood to be implemented in a common manner in the art. Those skilled in the art may make various modifications, variations, or simple deductions, deformations, or substitutions within the scope of the claims, without affecting the essence of the invention.

Claims

1. A method for operating and maintaining offshore wind farm equipment, characterized in that: The following steps are involved: Step 1: Obtain historical operating parameter data of equipment within the offshore wind farm operation and maintenance coverage area; Step 2: Establishing an equipment fault diagnosis model based on the historical operating parameter data; Step 3: Acquire operating data of equipment within the offshore wind farm operation and maintenance coverage area in real time, input the operating data into the equipment fault diagnosis model to perform fault diagnosis, and mark the equipment diagnosed as faulty; Step 4: Obtain the operating data of the device marked as faulty, and determine whether the faulty device requires maintenance based on the device's fixed maintenance cycle. If not, proceed to step 3; if yes, proceed to step 5. Step 5: Obtaining the operating data of the faulty device, as well as the location coordinates and geographic information of the faulty device and the shallows within the wind farm operation and maintenance coverage area; Step 6: Establishing wind farm operation and maintenance point data based on the operating data of the faulty equipment, the location coordinates and geographic information; Step 7: Obtain the coordinates of the obstacle area in the wind farm, and perform route planning for the wind farm operation and maintenance points according to the coordinates of the obstacle area in the wind farm and an obstacle avoidance strategy to obtain point route data; Step 8: Optimize the point route according to the ant colony algorithm to obtain the operation and maintenance route; Step 9: guiding the operation and maintenance vessel to go out to sea for operation according to the operation and maintenance route; In step 7, the specific method for performing route planning for the wind farm operation and maintenance points according to the coordinates of the obstacle area in the wind farm and the obstacle avoidance strategy to obtain the point route is as follows: Any two of the wind farm operation and maintenance points are connected; If there are no obstacles on the connecting line, the wind farm operation and maintenance point will be retained; If there is an obstacle on the connecting line, the vertex of the polygon is obtained by taking the edge of the obstacle or the intersection point of the circle with the obstacle as the center and the connecting line is obtained to avoid obstacles and obtain a new wind farm operation and maintenance point; Route planning is performed based on all the wind farm operation and maintenance points to obtain the point route.

2. The offshore wind farm equipment operation and maintenance method according to claim 1, characterized in that: The equipment within the wind farm operation and maintenance coverage area includes wind turbine equipment and booster station supporting equipment.

3. The offshore wind farm equipment operation and maintenance method according to claim 2, characterized in that: The specific method for establishing the equipment fault diagnosis model based on the historical operating parameter data in step 2 is as follows: Preprocessing the historical operating parameter data and then performing interpolation, normalization, and cleaning to obtain preprocessed data; Marking normal data and abnormal data on the preprocessed data to obtain marked data; Analyze the equipment operating conditions according to the marked data to obtain operating condition data; Establishing an initial model for equipment fault diagnosis based on the operating condition data and a similarity operator; The pre-processed data is used to train the fault diagnosis and early warning model to obtain an equipment fault diagnosis model.

4. The offshore wind farm equipment operation and maintenance method according to claim 1, characterized in that: The specific method for optimizing the point route to obtain the operation and maintenance route in step 8 according to the ant colony algorithm is as follows: Initialize the parameters of the ant colony algorithm, set the starting time t=0, and the maximum number of iterations to N max , the pheromone T on each path at the initial moment ij (0)=0, set the initial values of α, β, ρ, and Q; Establish a taboo list to ensure that there are no operation and maintenance points or obstacle avoidance coordinate points on the taboo list in the initial stage; Randomly placing m ants at k ship docking points, with at most one ant distributed at each wind farm operation and maintenance point, storing the operation and maintenance points where the m ants are located in the taboo list, and updating the number of cycles; Extract the wind farm operation and maintenance points that each ant has not experienced from the taboo list, and select the next wind farm operation and maintenance point using the roulette algorithm according to the probability conversion formula, and add all the wind farm operation and maintenance points to the taboo list until the ants have traversed all the wind farm operation and maintenance points, ending the current round of ant cycle activity; The m ants traverse the k ship docking points, and connect the paths with the most pheromones to obtain the operation and maintenance route; The probability conversion formula is as follows: ； Among them, p k ij (t) is the ship stop that the ant needs to reach at time t, τ ij is the pheromone on (i,j), η ij =1 / d ij is the heuristic factor for moving from location i to location j, τ is is the pheromone on (i,s), η is =1 / d ij is the heuristic factor for moving from location i to location s, allowed k Set the location that Ant K is allowed to visit next, taku k The taboo list is used to record the locations that ant k has currently passed.

5. The offshore wind farm equipment operation and maintenance method according to claim 4, characterized in that: The pheromone is updated according to the following formula: ； ； Among them, τ ij is the pheromone on (i, j), ρ is the pheromone volatility coefficient, 0<ρ≤1, is the amount of pheromone left by the kth ant on the path (i, j) in this cycle, k represents the ant number, 1≦k≦m.

6. An offshore wind farm equipment operation and maintenance system, characterized in that: It includes historical operation parameter acquisition module, equipment fault diagnosis model construction module, operation data acquisition module, judgment module, wind farm operation and maintenance point processing module, and optimization module; The historical operating parameter acquisition module is used to obtain historical operating parameter data of equipment in the offshore wind farm operation and maintenance coverage area; The equipment fault diagnosis model building module is used to obtain the historical operating parameter data and build an equipment fault diagnosis model; The operation data acquisition module is used to acquire the operation data of the equipment in the operation and maintenance coverage area of the offshore wind farm in real time, and transmit the operation data to the equipment fault diagnosis model for fault diagnosis; It is also used to mark equipment diagnosed as faulty; The judgment module is used to obtain the operating data of the equipment marked as faulty, and judge whether the operating data of the faulty equipment needs operation and maintenance according to the fixed operation and maintenance cycle of the equipment. If not, a re-acquisition signal is generated and fed back to the operating data acquisition module; if necessary, an execution signal is generated and transmitted to the wind farm operation and maintenance point processing module; The wind farm operation and maintenance point processing module obtains the operation data of the faulty equipment, and the position coordinates and geographic information of the faulty equipment and the shallows within the wind farm operation and maintenance coverage area according to the execution signal; It is also used to establish wind farm operation and maintenance point data based on the operating data of the faulty equipment, the location coordinates and geographic information; It is also used to obtain the coordinates of the obstacle area in the wind farm, and to plan the route of the wind farm operation and maintenance point according to the obstacle area coordinates in the wind farm and the obstacle avoidance strategy to obtain point route data; The optimization module is used to optimize the point route according to the ant colony algorithm to obtain an operation and maintenance route, and guide the operation and maintenance ship to go out to sea for operation according to the operation and maintenance route; The specific method for planning the route of the wind farm operation and maintenance points according to the coordinates of the obstacle area in the wind farm and the obstacle avoidance strategy to obtain the point route is as follows: Any two of the wind farm operation and maintenance points are connected; If there are no obstacles on the connecting line, the wind farm operation and maintenance point will be retained; If there is an obstacle on the connecting line, the vertex of the polygon is obtained by taking the edge of the obstacle or the intersection point of the circle with the obstacle as the center and the connecting line is obtained to avoid obstacles and obtain a new wind farm operation and maintenance point; Route planning is performed based on all the wind farm operation and maintenance points to obtain the point route.

7. A chip, characterized in that: The device comprises: a processor configured to call and run a computer program from a memory, so that a device equipped with the chip executes: a method according to any one of claims 1 to 5.

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