Floating wind turbine platform damping method, system and apparatus

Abstract

The application relates to a floating platform damping method, system and device for a floating wind turbine. The method comprises: performing silence timing on a sleep state of a central control system to obtain a current silence duration; performing a wake-up judgment on the central control system by comparing the current silence duration with a silence duration threshold to obtain a wake-up judgment result; obtaining current environment information when the wake-up judgment result is that the current silence duration is greater than or equal to the silence duration threshold; calculating aerodynamic force based on the current environment information and a preset floating platform motion model to obtain target aerodynamic force; and adjusting the air pressure of a floating platform air bag based on the target aerodynamic force. The method can utilize active control and the damping performance of the air bag to effectively absorb and reduce wave energy, reduce floating platform vibration and significantly improve stability.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of wind power generation, in particular to a floating wind turbine floating platform damping method, system and device. BACKGROUND

[0002] China has abundant offshore wind energy resources, which provides a broad development space for offshore wind power generation. With the gradual saturation of land wind power installed capacity, offshore floating wind power generation has become the focus of current wind power enterprise development. The abundance of offshore wind energy resources is an important basis for the development of China's offshore wind power industry. In the sea area, the offshore wind energy resources are widely distributed and the wind speed is stable. Compared with land, the offshore wind speed is more stable and the potential power generation capacity is larger. Offshore floating wind power technology is constantly developing and improving. Floating wind power technology involves technologies and engineering in multiple fields, including floating platform structure design, marine engineering, power system, etc.

[0003] In the traditional technology, due to the complex and changeable environment of the sea, the floating platform structure has multiple forms, among which the semi-submersible wind turbine is widely used in deep sea. This type of wind turbine is composed of a wind turbine combined with a floating platform standing on the sea surface, and is connected to the floating platform by mooring to achieve the effect of fixing the wind turbine.

[0004] However, the above-mentioned semi-submersible wind turbine is easily affected by waves, which not only affects the normal work of the wind turbine and greatly reduces the efficiency, but also seriously threatens the safety of the wind turbine when the wind is strong. At the same time, different types of wind turbines need to be matched with different floating platforms, and mechanical structures or methods need to be used to change the original layout of the floating platform to improve the stability of the floating platform, which will cause high failure rate, easy damage, difficult popularization and maintenance due to the large number of moving parts. SUMMARY

[0005] Therefore, it is necessary to provide a floating wind turbine floating platform damping method, system and device which can effectively absorb and offset the impact of incoming waves, actively adjust the air bag pressure of the floating platform to enhance the stability, and is easy to install, disassemble and maintain.

[0006] In a first aspect, the present application provides a floating wind turbine floating platform damping method, comprising:

[0007] Silencing the sleep state of the central control system to obtain the current silence duration;

[0008] The current silence duration is compared with the silence duration threshold to determine whether the central control system is awakened, and an awakening determination result is obtained;

[0009] acquire current environment information when the wake-up judgment result is that the current silence duration is greater than or equal to a silence duration threshold value;

[0010] calculate the aerodynamic force based on the current environment information and a preset floating platform motion model to obtain a target aerodynamic force;

[0011] adjust the floating platform airbag air pressure based on the target aerodynamic force.

[0012] In one of the embodiments, the calculation of the aerodynamic force based on the current environment information and the preset floating platform motion model to obtain the target aerodynamic force comprises:

[0013] estimate the related estimated force according to the current environment information and the motion state information;

[0014] calculate the current wave load according to the preset floating platform motion model and the motion state information;

[0015] calculate the aerodynamic force based on the relationship between the wave load and the force, the related estimated force, and the current wave load to obtain the target aerodynamic force.

[0016] In one of the embodiments, before the current silence duration is acquired by the silence timing of the sleep state of the central control system, the method further comprises:

[0017] acquire wave detection information;

[0018] judge the central control system based on the wave detection information and a wave detection threshold value to obtain a system wake-up result;

[0019] when the system wake-up result is that the wave detection information is greater than or equal to the wave detection threshold value, control the central control system to switch from the sleep state to the working state.

[0020] In one of the embodiments, before the current silence duration is acquired by the silence timing of the sleep state of the central control system, the method further comprises:

[0021] acquire predicted environment information;

[0022] divide the waves into multiple wave risk levels and their corresponding detection time periods based on the predicted environment information and a wave detection threshold value;

[0023] set the wake-up intervals of the central control system based on the multiple wave risk levels and their corresponding detection time periods to obtain a silence duration threshold value corresponding to each detection time period.

[0024] In a second aspect, the application further provides a floating wind turbine platform damping system, which is suitable for the floating wind turbine platform damping method described in any of the above aspects, and the floating wind turbine platform damping system comprises:

[0025] a central control system, configured to perform silence timing on a sleep state of the central control system, and obtain a current silence duration;

[0026] the central control system, configured to perform wake-up judgment on the central control system by comparing the current silence duration with a silence duration threshold, and obtain a wake-up judgment result;

[0027] an information acquisition module, connected to the central control system, configured to acquire current environmental information when the wake-up judgment result is that the current silence duration is greater than or equal to the silence duration threshold;

[0028] a data processing module, connected to the central control system, configured to calculate aerodynamic force based on the current environmental information and a preset floating platform motion model, and obtain target aerodynamic force;

[0029] an air bag control module, connected to the central control system, configured to adjust air pressure of a floating platform air bag based on the target aerodynamic force.

[0030] In one of the embodiments, the information acquisition module comprises:

[0031] a positioning module, connected to the central control system, configured to acquire current position information of the wind turbine platform;

[0032] a wave sensor, connected to the central control system, configured to acquire current sea wave information of an area where the wind turbine platform is located, and determine whether to wake up the central control system according to the current sea wave information.

[0033] In one of the embodiments, the information acquisition module further comprises:

[0034] a meteorological communication module, connected to a meteorological satellite and the central control system, configured to acquire predicted weather information of an area where the wind turbine platform is located.

[0035] In one of the embodiments, the floating wind turbine platform damping system comprises at least one air bag control module, and the air bag control module is configured to control internal air pressure of a connected air bag.

[0036] In a third aspect, the application further provides a floating wind turbine platform damping device, which comprises the wind turbine platform damping system described in any of the above aspects and at least one air bag.

[0037] In one of the embodiments, the outer surface of the air bag has a pointed or / and wavy protrusion.

[0038] The damping method, system and device for the floating platform of the floating wind turbine, when the central control system enters the dormant state and the silence duration reaches the preset silence duration threshold, the central control system is woken up and the current environmental information of the area where the floating platform of the floating wind turbine is located is obtained, the current environmental information is used to analyze and calculate the acting force on the floating platform of the floating wind turbine, the relevant acting force is calculated, and the preset floating platform motion model is further calculated to obtain the aerodynamic force, so that the central control system can adjust and control the air pressure of the floating platform air bag, the active control and the damping performance of the air bag are used to effectively absorb and reduce the wave energy, reduce the vibration of the floating platform, and significantly improve the stability. BRIEF DESCRIPTION OF DRAWINGS

[0039] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related art, the drawings needed to be used in the embodiment or related art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0040] Figure 1 The flowchart of the damping method for the floating platform of the floating wind turbine in one embodiment;

[0041] Figure 2 The flowchart of the step of calculating the aerodynamic force in one embodiment;

[0042] Figure 3 The structure block diagram of the damping system for the floating platform of the floating wind turbine in one embodiment;

[0043] Figure 4 The control flowchart of the damping system for the floating platform of the floating wind turbine in another embodiment;

[0044] Figure 5 The surface structure block diagram of the air bag in the damping device for the floating platform of the floating wind turbine in one embodiment;

[0045] Figure 6 The surface structure block diagram of the air bag in the damping device for the floating platform of the floating wind turbine in one embodiment;

[0046] Figure 7 The surface structure block diagram of the air bag in the damping device for the floating platform of the floating wind turbine in one embodiment;

[0047] Figure 8 The structure block diagram of the combined air bag in one embodiment;

[0048] Figure 9Structure block diagram of the air bag in combination form in one embodiment;

[0049] Figure 10 Internal structure diagram of the computer device in one embodiment. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical scheme and advantages of the present application clearer, the present application is further described in detail below in combination with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application.

[0051] In one embodiment, as shown in Figure 1 A floating wind turbine floating platform damping method is provided, and the embodiment takes the method applied to a terminal as an example. It should be understood that the method can also be applied to a server, and can also be applied to a system including a terminal and a server, and is realized through the interaction of the terminal and the server. In the embodiment, the method includes the following steps.

[0052] In step 102, the sleep state of the central control system is timed to obtain the current silence duration.

[0053] For example, when the state of the central control system is switched to the sleep state, the sleep state is timed to obtain the real-time sleep duration of the central control system, that is, the current silence duration.

[0054] In step 104, the current silence duration is compared with a silence duration threshold to determine whether the central control system is woken up, and a wake-up determination result is obtained.

[0055] The silence duration threshold is the interval duration between two normal working states of the central control system.

[0056] For example, while the sleep state of the central control system is timed in real time, the real-time sleep duration, that is, the current silence duration, is compared with the silence duration threshold until the real-time sleep duration reaches the silence duration threshold, and then the central control system meets the wake-up condition.

[0057] In step 106, when the wake-up determination result is that the current silence duration is greater than or equal to the silence duration threshold, current environment information is obtained.

[0058] For example, when the real-time sleep duration reaches the silence duration threshold, that is, the central control system meets the wake-up condition, environment data of the area where the floating wind turbine floating platform is located, that is, the current environment information, is collected.

[0059] In step 108, the aerodynamic force is calculated based on the current environment information and a preset floating platform motion model to obtain a target aerodynamic force.

[0060] The current environment information includes wave information.

[0061] Exemplarily, the motion displacement of the floating platform is determined by analyzing the current environment information, and then the motion displacement of the floating platform is substituted into the preset floating platform motion model to obtain the calculated value of the wave load. The aerodynamic force and other related forces associated with the wave load are determined by force analysis of the floating platform, and the other related forces are calculated using the structural parameters of the floating platform and the wave information. Then, the target aerodynamic force is calculated by the relationship between the wave load, the aerodynamic force and the other related forces.

[0062] In step 110, the air pressure of the floating platform air bag is adjusted based on the target aerodynamic force.

[0063] Exemplarily, after obtaining the target aerodynamic force, the target pressure of the floating platform air bag is determined using the calculation formula of the aerodynamic force, and then the air pressure of the floating platform air bag is controlled and adjusted in combination with the internal pressure of the current floating platform air bag.

[0064] In the above floating wind turbine floating platform damping method, when the central control system enters the dormant state and the silence duration reaches the preset silence duration threshold, the central control system is awakened and the current environment information of the area where the floating wind turbine floating platform is located is obtained. The related forces and the preset floating platform motion model are calculated by analyzing and calculating the forces acting on the floating wind turbine floating platform, and the aerodynamic force is calculated to adjust and control the air pressure of the floating platform air bag by the central control system. The damping performance of the air bag is used to effectively absorb and reduce wave energy, reduce the vibration of the floating platform, and significantly improve the stability.

[0065] In an exemplary embodiment, as shown in Figure 2 The target aerodynamic force is calculated based on the current environment information and the preset floating platform motion model, including steps 202 to 206. Wherein:

[0066] In step 202, the related estimated forces are estimated according to the current environment information and the motion state information.

[0067] The current environment information includes wave information and water flow information.

[0068] Exemplarily, by analyzing the wave information, the wave exciting force of the floating platform during the wave impact can be estimated. The mooring force and damping force of the floating platform are calculated by combining the motion state information of the floating platform with the structural information of the floating platform. At the same time, the sea current load generated by the water flow on the floating platform is calculated by combining and analyzing the water flow information and the motion state information of the floating platform.

[0069] At step 204, the wave load is calculated according to the preset floating platform motion model and the motion state information, and the current wave load is obtained.

[0070] The preset floating platform motion model is a motion equation of the floating platform in a time domain.

[0071] Exemplarily, the motion state information of the floating platform is analyzed, and the wave load generated by the wave on the floating platform is calculated by using the preset motion equation of the floating platform in the time domain.

[0072] For the offshore floating platform, the restoring force and the restoring moment are generated in six degrees of freedom. Taking the semi-submersible floating wind turbine as an example, the wave load calculation of the floating platform needs the potential flow theory and the Morison theory. The motion equation of the floating platform in the time domain is specifically as follows:

[0073]

[0074] wherein, is the displacement of the floating platform at t, is the energy dissipated by the floating platform in the motion at t, is the acceleration of the displacement at t, M is the inertia matrix of the floating platform, and m is the additional mass matrix, is the damping matrix, is the stiffness restoring matrix, is the wave load at t, k, i and j represent the degrees of freedom, , , .

[0075] At step 206, the target aerodynamic force is obtained by calculating the aerodynamic force based on the relationship between the wave load and the acting force, the related estimated acting force and the current wave load.

[0076] Exemplarily, the wave load and the acting force on the floating platform are related, and the relationship is specifically as follows:

[0077]

[0078] wherein, Fk is the wave load, F1 is the wave exciting force, F2 is the aerodynamic force, Fm is the mooring force, Fc is the current load, and Fn is the damping force, is the displacement of the floating platform, is the energy dissipated by the floating platform in the motion.

[0079] The related acting force to be estimated is determined based on the above relationship between the wave load and the acting force. Then, the related estimated acting force is calculated by using the model corresponding to the related acting force and combining the structural analysis of the floating platform. Then, the water dynamic force and the aerodynamic force on the airbag of the floating platform in the i degree of freedom are further solved by combining the wave load, and the relationship is specifically as follows:

[0080]

[0081]

[0082]

[0083]

[0084] wherein, is the diffraction component of the velocity potential; is the complete velocity potential, containing both diffraction and radiation parts; (N1, N2, N3) = n represents the normal vector of the inner surface of the airbag, (N4, N5, N6) = r x n; P represents the internal pressure of the airbag, , , respectively represent the aerodynamic added mass, aerodynamic damping and aerodynamic restoring force coefficients.

[0085] The aerodynamic force obtained by the above solving is the target aerodynamic force.

[0086] In the embodiment, by analyzing multiple degrees of freedom of the floating platform, combining the potential flow theory and the Morison theory to pre-construct the motion equation of the floating platform in the time domain, i.e., the preset floating platform motion model, then analyzing the displacement of the floating platform in the predicted time, and further estimating and determining the wave load, and based on the force analysis of the floating platform, the relationship between the wave load, the related force and the aerodynamic force related to the airbag is determined, and the target aerodynamic force that can achieve the vibration reduction effect is further solved, based on the linear time domain method, the calculation of the wind and wave action of the floating wind turbine and the coupling of the dynamic time domain model are completed, the bidirectional coupling between the wind turbine and the platform, the platform and the airbag is realized, the aerodynamic force required by the floating platform can be estimated by using the force analysis of the floating platform and combining the preset floating platform motion model with the motion information of the floating platform, and then the airbag pressure can be adjusted based on the estimation result to effectively reduce the fluctuation of the floating platform caused by the wave increase.

[0087] In an exemplary embodiment, before the current silence duration is obtained after the sleep state of the central control system is silenced, the method further comprises:

[0088] obtaining wave detection information; judging the central control system based on the wave detection information and a wave detection threshold to obtain a system wake-up result; when the system wake-up result is that the wave detection information is greater than or equal to the wave detection threshold, controlling the central control system to switch from the sleep state to the working state.

[0089] Exemplarily, the floating platform collects wave data, i.e. wave detection information, in real time after the central control system enters the sleep state, and then compares the wave data with a pre-set wave data threshold. Only when the value of the collected wave data is not lower than the wave data threshold, the central control system is woken up from the sleep state.

[0090] In the embodiment, by collecting wave information and judging the wave information, it is determined whether the wave reaches a certain level, i.e. the impact on the floating platform, and then it is determined whether the central control system needs to be woken up to adjust the floating platform, so as to improve the ability of the floating platform to resist the wave, i.e. to improve the stability and damping of the floating platform.

[0091] In an exemplary embodiment, before the current silence duration is obtained while the sleep state of the central control system is silenced, the method further comprises:

[0092] Obtaining predicted environmental information; based on the predicted environmental information and the wave detection threshold, dividing the wave into multiple wave risk levels and obtaining the corresponding detection period; based on the multiple wave risk levels and the corresponding detection period, setting the wake-up interval of the central control system, and obtaining the silence duration threshold corresponding to each detection period.

[0093] Exemplarily, the central control system can also obtain the predicted environmental information of the area where the floating platform is located in the future time, divide the future time into time period units such as days through analysis of the predicted environmental information, and divide the wave information in each unit time into levels. And based on waves of different levels, set the silence duration threshold of the central control system.

[0094] For example, wave information is obtained one or several days in advance, from which it is determined that there is a large wave on a certain day. On the day with large waves, the sleep time of the central control system is shortened, and wave data is obtained during each wake-up period, and the air bag pressure is adjusted through processing of the wave data to cope with the impact of the wave.

[0095] In the embodiment, by observing the wave information of the future period of the area where the floating platform is located in advance, the sleep time of the central control system is adjusted, and the data acquisition frequency of the central control system during the period of large waves is improved, which is beneficial to real-time collection and analysis of wave information, and adjustment of the air bag pressure of the floating platform to enhance the damping and stability of the floating platform.

[0096] In an exemplary embodiment, a floating wind turbine floating platform damping method is provided, which comprises the following steps:

[0097] Obtaining predicted environmental information.

[0098] The wave is risk classified based on the predicted environment information and the wave detection threshold, and a plurality of wave risk levels and corresponding detection time periods are obtained.

[0099] The central control system is set to wake up intervals based on the plurality of wave risk levels and corresponding detection time periods, and a corresponding silent duration threshold for each detection time period is obtained.

[0100] Wave detection information is obtained.

[0101] The central control system is judged based on the wave detection information and the wave detection threshold, and a system wake-up result is obtained.

[0102] When the system wake-up result is that the wave detection information is greater than or equal to the wave detection threshold, the central control system is controlled to switch from a sleep state to an active state.

[0103] The sleep state of the central control system is timed, and a current silent duration is obtained.

[0104] The central control system is awakened based on the current silent duration and the silent duration threshold, and a wake-up judgment result is obtained.

[0105] When the wake-up judgment result is that the current silent duration is greater than or equal to the silent duration threshold, current environment information is obtained.

[0106] The force is estimated according to the current environment information and the motion state information, and a related estimated force is obtained.

[0107] The wave load is calculated according to a preset floating platform motion model and the motion state information, and a current wave load is obtained.

[0108] The target aerodynamic force is calculated based on the relationship between the wave load and the force, the related estimated force, and the current wave load.

[0109] The floating platform airbag pressure is adjusted based on the target aerodynamic force.

[0110] It should be understood that although each step in the flowchart involved in each embodiment as described above is displayed in sequence according to the direction of the arrow, these steps are not necessarily executed in sequence according to the direction of the arrow. Unless otherwise stated herein, the execution of these steps is not strictly limited in sequence, and these steps can be executed in other orders. Moreover, at least part of the steps in the flowchart involved in each embodiment as described above can include multiple steps or stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution sequence of these steps or stages is not necessarily sequential, but can be executed in rotation or alternation with at least part of other steps or steps or stages in other steps.

[0111] Based on the same inventive concept, the embodiments of the present application also provide a floating wind turbine platform damping system for implementing the floating wind turbine platform damping method described above. The implementation scheme for solving the problem provided by the system is similar to the implementation scheme described in the above method, so the specific limitations in one or more floating wind turbine platform damping system embodiments provided below can refer to the limitations of the floating wind turbine platform damping method described above, which will not be repeated here.

[0112] In one exemplary embodiment, as shown in Figure 3 A floating wind turbine platform damping system is provided, including a central control system 302, an information acquisition module 304, a data processing module 306, and an air bag control module 308, wherein the information acquisition module 304, the data processing module 306, and the air bag control module 308 are all connected with the central control system 302.

[0113] The central control system 302 is configured to determine whether to wake up the central control system by comparing the current silence duration with the silence duration threshold, and obtain a wake-up determination result.

[0114] The information acquisition module 304 is connected with the central control system 302, and is configured to acquire current environmental information when the wake-up determination result is that the current silence duration is greater than or equal to the silence duration threshold.

[0115] The data processing module 306 is connected with the central control system 302, and is configured to calculate the target aerodynamic force based on the current environmental information and a preset platform motion model.

[0116] The air bag control module 308 is connected with the central control system 302, and is configured to adjust the air pressure of the platform air bag based on the target aerodynamic force.

[0117] The central control system 302 is in a dormant state most of the time. When the central control system 302 is woken up from the dormant state, the wave information is collected by the information acquisition module 304 and transmitted to the data processing module 306. The data processing module 306 determines the target aerodynamic force of the platform air bag after calculation. Then, the central control system 302 sends an adjustment command to the air bag control module 308 according to the target aerodynamic force. After receiving the adjustment command, the air bag control module 308 adjusts the air pressure of the air bag.

[0118] In one exemplary embodiment, the information acquisition module 304 further includes a positioning module and a wave sensor, both of which are connected with the central control system 302.

[0119] The positioning module is connected with the central control system 302, and is configured to acquire the current position information of the wind turbine platform.

[0120] The wave sensor is connected to the central control system 302, and is used to obtain current wave information of the area where the floating platform of the wind turbine is located, and determine whether to wake up the central control system according to the current wave information.

[0121] The central control system 302 obtains the position information of the floating platform through the positioning module to determine the motion state information of the floating platform. In addition, the central control system 302 also obtains and analyzes the wave information through the wave sensor, and actively wakes up the central control system 302 when large waves appear. The wave sensor can be arranged in the buoy, and the positioning module can adopt a GPS module.

[0122] In an exemplary embodiment, the information acquisition module 304 further includes a meteorological communication module, which is connected to a meteorological satellite in communication and connected to the central control system 302. The meteorological communication module is used to obtain the predicted weather information of the area where the floating platform of the wind turbine is located.

[0123] In an exemplary embodiment, the wind turbine floating platform damping system includes at least one air bag control module, which is connected to the central control system 302, and each air bag control module is connected to at least one air bag. The air bag control module is used to control the internal air pressure of the connected air bag.

[0124] The wave sensor can be arranged in the buoy, and the positioning module can adopt a GPS module.

[0125] The central control system is in a dormant state most of the time. When the central control system is woken up from the dormant state, the wave information is collected by the information acquisition module and transmitted to the data processing module. At the same time, the central control system obtains the position information of the floating platform through the positioning module to determine the motion state information of the floating platform and transmits it to the data processing module. The data processing module calculates to determine the target aerodynamic force of the air bag of the floating platform. Then, the central control system sends an adjustment command to the air bag control module according to the target aerodynamic force, and the air bag control module adjusts the air pressure of the air bag after receiving the adjustment command.

[0126] In addition, the central control system also obtains and analyzes the wave information through the wave sensor, and actively wakes up the central control system when large waves appear.

[0127] The above-mentioned various modules of the wind turbine floating platform damping system can be realized by software, hardware and their combinations. The above-mentioned various modules can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory in the computer device in software form, so as to be called and executed by the processor to perform the operations corresponding to the above-mentioned various modules.

[0128] In an exemplary embodiment, as Figure 4As shown, the wind turbine floating platform damping system includes a central control system, an information acquisition module, a data processing module and an air bag control module, the information acquisition module includes a positioning module and a wave sensor, and the air bag control module is provided with at least one air bag control module connected with one air bag.

[0129] Based on the same inventive concept, the embodiments of the present application also provide a floating wind turbine floating platform damping device for implementing the floating wind turbine floating platform damping system as described above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme described in the system, so the specific limitations in one or more floating wind turbine floating platform damping device embodiments provided below can refer to the limitations of the floating wind turbine floating platform damping system described above, which will not be repeated here.

[0130] In an exemplary embodiment, a floating wind turbine floating platform damping device is provided, which includes the wind turbine floating platform damping system of any of the above embodiments and at least one air bag.

[0131] In order to reduce the influence of waves on the floating wind turbine, the air bag is made of rubber material with good air and water tightness, strong resistance to seawater and corrosion resistance, and good elasticity. In addition, the air bag can be designed in different shapes to absorb and dissipate waves.

[0132] For example, as shown in Figure 5 and Figure 6 , the air bag can adopt a sharp peak shape and a wave shape. The sharp peak air bag has a sharp top and a conical shape, which can produce a sharp wave breaking effect. When the wave hits the air bag, the sharp peak shape will cause the wave to deform and break sharply, thereby reducing the energy and impact force of the wave. The wave-shaped air bag has a continuous wave shape, which can cause the wave to break and turn back when it comes into contact with the air bag. This shape can effectively destroy the impact of the wave, so that the energy of the wave decays rapidly. In addition, the sharp peak shape and the wave shape can be combined, as shown in Figure 7 .

[0133] In addition, multiple air bags can be combined to improve stability and damping, as shown in Figure 8 and Figure 9 , and the cost is low, the service life is long, the installation and removal are convenient, and the maintenance is easy. When the combination form as shown in Figure 9 is adopted, the internal air pressure of each air bag can be adjusted independently, which can more flexibly cope with complex and changeable sea conditions.

[0134] In an exemplary embodiment, a computer device is provided, which can be a server, and its internal structure diagram can be as shown in Figure 10As shown in the figure. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through the system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capability. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store wave data. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with the terminal outside through the network connection. The computer program is executed by the processor to realize a floating wind turbine floating platform vibration reduction method.

[0135] Those skilled in the art can understand that, Figure 10 The structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. The specific computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different component arrangement.

[0136] In an exemplary embodiment, a computer device is provided, including a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps in the above method embodiments.

[0137] In an exemplary embodiment, a computer readable storage medium is provided, which stores a computer program, and the computer program is executed by a processor to implement the steps in the above method embodiments.

[0138] In an exemplary embodiment, a computer program product is provided, including a computer program, and the computer program is executed by a processor to implement the following steps:

[0139] A computer program product is provided, including a computer program, and the computer program is executed by a processor to implement the steps in the above method embodiments.

[0140] It should be noted that the user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or authorized by all parties, and the collection, use and processing of related data need to comply with relevant regulations.

[0141] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when the computer program is executed, the processes of the above-mentioned embodiments of the methods can be included. Any reference to memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration but not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided in the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., without being limited thereto.

[0142] Any combination of the technical features of the above embodiments can be made. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described, however, as long as the combination of the technical features does not exist, it should be considered as the scope of the present application.

[0143] The above embodiments only express several implementation manners of the present application, and the description is more specific and detailed, but it should not be understood as a limitation on the scope of the patent of the present application. It should be pointed out that for ordinary skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are within the scope of protection of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A method of damping vibrations of a floating platform of a floating wind turbine, characterized in that, The method comprises: Silent timing of the sleep state of the central control system is performed to obtain a current silent duration of the central control system; The current silent duration is compared with a silent duration threshold to perform wake-up judgment on the central control system, and a wake-up judgment result is obtained; When the wake-up judgment result is that the current silent duration is greater than or equal to the silent duration threshold, current environmental information is obtained; Based on the current environmental information and a preset floating platform motion model, aerodynamic force is calculated to obtain target aerodynamic force; Based on the target aerodynamic force, the air pressure of the floating platform air bag is adjusted; The method further comprises: obtaining predicted environmental information; based on the predicted environmental information and a wave detection threshold, waves are risk-divided to obtain a plurality of wave risk levels and corresponding detection time periods; based on the plurality of wave risk levels and the corresponding detection time periods, a wake-up interval of the central control system is set to obtain a silent duration threshold corresponding to each detection time period. Before the silent timing of the sleep state of the central control system is performed to obtain the current silent duration, the method further comprises:

2. The floating wind turbine platform damping method of claim 1, wherein, Obtaining wave detection information; Based on the wave detection information and a wave detection threshold, the central control system is judged to obtain a system wake-up result; When the system wake-up result is that the wave detection information is greater than or equal to the wave detection threshold, the central control system is controlled to switch from the sleep state to the working state. The wind turbine floating platform damping system comprises:

3. A floating wind turbine platform damping system adapted for use in a floating wind turbine platform damping method as claimed in any one of claims 1-2, characterized in that, A central control system for silent timing of the sleep state of the central control system to obtain a current silent duration; The central control system is configured to compare the current silent duration with a silent duration threshold to perform wake-up judgment on the central control system and obtain a wake-up judgment result; An information acquisition module connected to the central control system is configured to obtain current environmental information when the wake-up judgment result is that the current silent duration is greater than or equal to the silent duration threshold; A data processing module connected to the central control system is configured to calculate aerodynamic force based on the current environmental information and a preset floating platform motion model to obtain target aerodynamic force; and is further configured to estimate acting force based on the current environmental information and motion state information to obtain relevant estimated acting force; calculate wave load based on a preset floating platform motion model and the motion state information to obtain current wave load; and perform aerodynamic force calculation based on the relationship between wave load and acting force, the relevant estimated acting force, and the current wave load to obtain target aerodynamic force; An air bag control module connected to the central control system is configured to adjust the air pressure of the floating platform air bag based on the target aerodynamic force. ​ The wind turbine floating platform damping system is also used to obtain predicted environmental information; based on the predicted environmental information and the wave detection threshold, the risk of the wave is divided to obtain a plurality of wave risk levels and their corresponding detection time periods; based on a plurality of the wave risk levels and their corresponding detection time periods, the central control system is set to wake up at intervals to obtain a corresponding silent time threshold for each detection time period.

4. A floating wind turbine platform damping system according to claim 3, wherein, The information acquisition module comprises: A positioning module connected to the central control system, configured to obtain current position information of the wind turbine floating platform; A wave sensor connected to the central control system, configured to obtain current sea wave information of the area where the wind turbine floating platform is located, and determine whether to wake up the central control system according to the current sea wave information.

5. A floating wind turbine platform damping system according to claim 4, wherein, The information acquisition module further comprises: A meteorological communication module connected to a meteorological satellite and the central control system, configured to obtain predicted weather information of the area where the wind turbine floating platform is located.

6. A floating wind turbine platform damping system according to claim 3, wherein, The wind turbine floating platform damping system comprises at least one air bag control module, and the air bag control module is configured to control the internal air pressure of the connected air bag.

7. A floating wind turbine platform damping device, characterized by The wind turbine floating platform damping device comprises the wind turbine floating platform damping system and the air bag according to any one of claims 3-6, and the air bag is provided with at least one.

8. A floating wind turbine platform damping device according to claim 7, characterised in that, The outer surface of the air bag has a sharp peak shape or / and a wave shape protrusion.

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