Method and device for dynamically adjusting process parameters of a suction pile, medium, equipment

Abstract

This invention provides a method, apparatus, medium, and equipment for dynamic control of the process parameters of suction piles. The method utilizes monitoring data from the suction pile's sinking stage in water, constructs and utilizes a digital twin of the suction pile, and generates control signals to control the sinking rate. By measuring the monitoring data, the method achieves dynamic adjustment of the suction pile's parameters during the sinking stage. Furthermore, by acquiring sea state prediction information, the method determines the window period for the sinking stage, thus defining the window periods between different stages of the suction pile's operation. The output results of the digital twin guide the installation process of the suction pile foundation structure, providing data support for offshore wind power suction pile installation, ensuring the rationality of each stage of the project, thereby reducing the construction period and lowering project costs.

Description

Technical Field

[0001] This invention relates to the field of offshore wind turbine foundation structures, specifically to a method, device, medium, and equipment for dynamic control of process parameters of suction piles. Background Technology

[0002] Offshore wind power is an extremely important clean energy source. In recent years, my country's offshore wind power has experienced rapid development, becoming a crucial pillar of the country's energy transition. To cope with complex marine geological conditions, offshore wind turbine foundation types include monopile foundations, suction jacket foundations, multi-pile jacket foundations, single-column composite tube foundations, and floating foundations. Monopile foundations are suitable for turbine sites with thick overburden, while suction jacket foundations and single-column composite tube foundations are suitable for sites with thinner overburden. Multi-pile jacket foundations typically have overburden thickness requirements between monopile foundations and suction jacket foundations. Compared to multi-pile jacket foundations, suction jacket foundations offer shorter offshore operation time and relatively lower requirements for the construction window.

[0003] Since the sea conditions in offshore wind farm operation areas are usually quite complex, the continuous construction window is relatively short, and the performance requirements of construction vessels are inconsistent between different processes, continuous construction will affect the entire project schedule and may increase project costs. Therefore, how to obtain a method for dynamic control of the process parameters of offshore wind suction piles has become a difficult problem for designers to solve. Summary of the Invention

[0004] Therefore, the technical problem to be solved by the present invention is to overcome the defects of the prior art in that the process parameters of offshore wind suction piles cannot be dynamically controlled, thereby providing a method, device, medium and equipment for dynamic control of the process parameters of suction piles.

[0005] In a first aspect, embodiments of the present invention provide a method for dynamic control of process parameters of a suction pile, comprising: constructing a digital twin of the suction pile; measuring monitoring data of the suction pile during its sinking stage in water; using the digital twin to perform simulation calculations with the monitoring data as input to obtain calculation results corresponding to the monitoring data; generating a control signal based on the calculation results; sending the control signal to the control system to enable the control system to control the rate of the suction pile during its sinking stage in water; acquiring sea state prediction information when the suction pile stops sinking, based on the monitoring data; determining the window period for the installation stage of the suction pile using the digital twin and the sea state prediction information; and generating and sending an indication signal to the control system when the window period is reached, the indication signal being used to instruct the control system to measure the monitoring data of the suction pile during the corresponding installation stage.

[0006] In conjunction with the first aspect, in one possible implementation of the first aspect, the underwater sinking stage includes a self-weight sinking stage. A digital twin is used to simulate and calculate the monitoring data as input, obtaining calculation results corresponding to the monitoring data. A control signal is generated based on the calculation results and sent to the control system so that the control system controls the sinking rate of the suction pile during the underwater sinking stage. This includes: using the digital twin, determining the predicted self-weight sinking rate of the suction pile based on the monitoring data; generating a lifting force control command for the suction pile based on the predicted self-weight sinking rate; and sending the lifting force control command to the control system so that the control system controls the sinking rate of the suction pile during the self-weight sinking stage.

[0007] In conjunction with the first aspect, in one possible implementation of the first aspect, the monitoring data includes: the sinking rate of the suction pile; based on the monitoring data, when the suction pile stops sinking, sea state prediction information is obtained, including: when the sinking rate of the suction pile reaches a preset value, determining that the suction pile stops sinking by its own weight, and obtaining sea state prediction information, which is the first sea state prediction information.

[0008] In conjunction with the first aspect, in one possible implementation of the first aspect, a digital twin is used to determine the window period for the suction pile during the installation phase based on sea state prediction information, including: using the digital twin to determine the force parameters of the suction pile based on the first sea state prediction information; and determining the window period for the suction pile during the negative pressure sinking phase based on the correspondence between the force parameters and the window period.

[0009] In conjunction with the first aspect, in one possible implementation of the first aspect, the underwater sinking stage includes a negative pressure sinking stage. A digital twin is used to simulate and calculate the monitoring data as input, obtaining calculation results corresponding to the monitoring data. A control signal is generated based on the calculation results and sent to the control system so that the control system controls the sinking rate of the suction pile during the underwater sinking stage. This includes: using a digital twin to determine the negative pressure sinking rate of the suction pile based on the monitoring data; generating a pumping rate control command for the suction pile based on the negative pressure sinking rate; and sending the pumping rate command to the control system to control the sinking rate of the suction pile during the negative pressure sinking stage.

[0010] In conjunction with the first aspect, in one possible implementation of the first aspect, the monitoring data includes the seabed elevation outside and inside the suction pile. Based on the monitoring data, when it is determined that the suction pile has stopped sinking, sea state prediction information is obtained, including: when it is detected that the seabed elevation outside and inside the suction pile has reached the preset design elevation, it is determined that the suction pile has stopped sinking under negative pressure, and sea state prediction information is obtained, which is the second sea state prediction information.

[0011] In conjunction with the first aspect, in one possible implementation of the first aspect, a digital twin is used to determine the window period for the suction pile during the installation phase based on sea state prediction information, including: using the digital twin to determine the bearing parameters of the suction pile based on second sea state prediction information; and determining the window period for the suction pile during the wind turbine tower and unit hoisting phase or the suction pile grouting phase based on the correspondence between the bearing parameters and the window period.

[0012] Secondly, embodiments of the present invention provide a dynamic control device for the process parameters of a suction pile, comprising: a construction unit for constructing a digital twin of the suction pile; a control signal transmission unit for measuring monitoring data of the suction pile during its sinking stage in water, using the digital twin to perform simulation calculations with the monitoring data as input, obtaining calculation results corresponding to the monitoring data, generating a control signal based on the calculation results, and sending the control signal to the control system so that the control system controls the rate of the suction pile during its sinking stage in water; a sea state prediction information acquisition unit for acquiring sea state prediction information based on the monitoring data when the suction pile stops sinking; a window period determination unit for determining the window period of the suction pile during the installation stage using the digital twin and the sea state prediction information; and an indication signal transmission unit for sending an indication signal to the control system when the window period is reached, the indication signal being used to instruct the control system to measure the monitoring data of the suction pile at the corresponding stage.

[0013] Thirdly, embodiments of the present invention provide a computer-readable storage medium storing computer instructions, which, when executed by a processor, implement a method for dynamically controlling the process parameters of a suction pile as described in any embodiment of the first aspect.

[0014] Fourthly, embodiments of the present invention provide a computer device, including at least one processor; and a memory communicatively connected to the at least one processor; the memory stores computer program instructions, which, when executed by the at least one processor, implement a method for dynamically controlling the process parameters of a suction pile as described in any embodiment of the first aspect.

[0015] The technical solution of this invention has the following advantages:

[0016] This invention provides a method, apparatus, medium, and equipment for dynamic control of process parameters of suction piles. The method constructs and utilizes a digital twin of the suction pile, generating control signals from monitoring data during the underwater sinking phase to control the sinking rate. By measuring the monitoring data, the method dynamically adjusts the parameters of the suction pile during the underwater sinking phase. Furthermore, by acquiring sea state prediction information, the method determines the window period for the underwater sinking phase, thus establishing the window period between each stage of the suction pile. The output results of the digital twin guide the installation process of the suction pile foundation structure, providing data support for the installation of offshore wind power suction piles, ensuring the rationality of each stage of the project, thereby reducing the construction period and lowering project costs. Attached Figure Description

[0017] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram illustrating an application scenario of a dynamic control method for process parameters of suction piles provided in an embodiment of the present invention.

[0019] Figure 2 A flowchart illustrating a specific example of a method for dynamically controlling the process parameters of a suction pile, as provided in an embodiment of the present invention;

[0020] Figure 3 A schematic diagram illustrating a specific example of a dynamic control device for process parameters of a suction pile provided in an embodiment of the present invention;

[0021] Figure 4 This is a structural example diagram of a computer device provided in an embodiment of the present invention. Detailed Implementation

[0022] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0024] Furthermore, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0025] The application scenarios of the dynamic control method for process parameters of suction piles provided in this embodiment of the invention are as follows: Figure 1 As shown, it includes: suction pile foundation structure 1, digital twin 2, computer 3, signal processing system 4, control system 5, suction pump system 6, first monitoring equipment 7, second monitoring equipment 8, and third monitoring equipment 9.

[0026] Digital twin 2 is constructed in computer 3 based on the dimensional parameters of the suction pile foundation structure, hydrological environmental parameters, geological strata distribution, soil physical and mechanical parameters, and CPTU (piezocone penetration test) survey data in physical space. Digital twin 2 exists in digital space and corresponds to the real environment, i.e., physical space.

[0027] The signal processing system 4 is connected to the computer 3 and is used to transmit monitoring data measured by the first monitoring device 7, the second monitoring device 8, and the third monitoring device 9 to the computer 3. The control system 5 receives control signals sent by the computer 3 and controls the installation of the suction piles through the received control signals. In practical applications, controlling the installation of the suction piles includes controlling the suction pump system 6. The control system 5 controls the suction pump system 6 to adjust the pumping speed of the suction pump during the installation process of the suction piles through control commands.

[0028] The suction pile foundation structure 1 includes: multiple suction tanks, a jacket support main structure, and a water pump. The jacket support main structure includes the top flange face of the foundation structure.

[0029] The first monitoring device 7, the second monitoring device 8, and the third monitoring device 9 are different monitoring devices, including a GPS compass, an inclinometer, a pressure sensor, and a water level sensor. In practical applications, the first monitoring device 7 is a GPS compass, the second monitoring device 8 is an inclinometer, and the third monitoring device 9 is a pressure sensor. It should be understood that the setup and number of monitoring devices include, but are not limited to, these. Figure 1 As shown. Monitoring data related to the top flange face of the foundation structure include: azimuth angle of the top flange face of the foundation structure and levelness of the top flange face of the foundation structure. Monitoring data related to the suction bucket include: pressure inside the bucket, pressure outside the bucket, and pumping water level. Other monitoring data related to the suction pile foundation structure include: seabed elevation outside and inside the suction pile and sinking rate of the suction pile.

[0030] This embodiment provides a method for dynamically controlling the process parameters of suction piles, such as... Figure 2 As shown, it includes the following steps:

[0031] S201, Constructing a digital twin of the suction pile.

[0032] Specifically, constructing a digital twin of a suction pile includes: obtaining the structural parameters and installation environment parameters of the suction pile; and constructing a digital twin of the suction pile based on the structural parameters and installation environment parameters.

[0033] In practical applications, the structural parameters of suction piles include the dimensional parameters of the suction bucket and guide frame foundation structure, which include one or more of the following: the height of the suction bucket and guide frame foundation structure, the diameter of the suction bucket, the height of the suction bucket, the center-to-center distance between the suction buckets, the distance between the center tops of the guide legs, and the preset mud penetration depth of the suction bucket. Installation environment parameters include the hydrological environment parameters of the suction pile installation location, geological strata distribution, soil physical and mechanical parameters, CPTU survey data, and other information. It should be understood that constructing a digital twin of the suction pile based on the structural and installation environment parameters is a relatively mature technology, and will not be elaborated upon further.

[0034] S202. Measure the monitoring data of the suction pile during the sinking stage in water, use a digital twin to perform simulation calculations with the monitoring data as input, obtain the calculation results corresponding to the monitoring data, generate control signals based on the calculation results, and send the control signals to the control system so that the control system can control the rate of the suction pile during the sinking stage in water.

[0035] Specifically, the sinking stage of suction piles in water includes two phases: self-weight sinking and negative pressure sinking. Monitoring data for the sinking stage includes: azimuth of the top flange face of the foundation structure, levelness of the top flange face of the foundation structure, pressure inside the pile, pressure outside the pile, pumping water level, sinking rate of the suction pile, seabed elevation both inside and outside the pile, or other monitoring data. In practical applications, this monitoring data is acquired through monitoring equipment, including but not limited to GPS compasses, inclinometers, pressure sensors, and water level sensors. In practical applications, the calculation results corresponding to the measurement data include: the predicted self-weight sinking rate of the suction pile, soil resistance, pumping rate under negative pressure, or other results. It should be understood that simulation calculations using digital twins are a relatively mature technology, and will not be elaborated further. It is worth noting that, based on the monitoring data of the suction pile during the sinking stage in water, the geological distribution and corresponding soil physical and mechanical parameters of the digital twin of the suction pile are updated to ensure the accuracy of the simulation calculation. The geological distribution refers to the accurate geological distribution outside the suction pile and the changes in the geological distribution inside the pile due to the soil plugging effect.

[0036] S203. Based on monitoring data, when the suction pile stops sinking, obtain sea state prediction information.

[0037] Specifically, based on monitoring data, obtaining sea state prediction information when the suction pile stops sinking refers to determining whether the suction pile has stopped at the corresponding sinking stage based on the different monitoring data measured at different stages of the suction pile's sinking in water, and obtaining sea state prediction information when the suction pile stops sinking at the corresponding stage. In practical applications, sea state prediction information includes: wind load information, wave and current load information, ocean current load information, or other information.

[0038] S204. Using digital twins, determine the window period for the installation of suction piles based on sea condition forecast information.

[0039] Specifically, determining the installation window for suction piles using a digital twin based on sea state prediction information involves using the digital twin to perform simulation calculations with the sea state prediction information as input, obtaining calculation results corresponding to the sea state prediction information, and then determining the window period for the suction piles in the corresponding installation stage based on the calculation results. The installation stages of suction piles include: the sinking stage in water, the hoisting stage of the wind turbine tower and unit, and the grouting stage. In practical applications, the calculation results corresponding to the sea state prediction information include: the structural stress and deformation of the suction piles under extreme operating conditions, the levelness of the foundation top flange surface, or other results. It should be understood that simulation calculations using digital twins are a relatively mature technology, and will not be elaborated further.

[0040] S205. When the window period is reached, an indication signal is generated and sent to the control system. The indication signal is used to instruct the control system to measure the monitoring data of the suction pile at the corresponding installation stage.

[0041] Specifically, generating and sending an indication signal to the control system upon reaching the window period refers to measuring monitoring data for the next stage of the installation process by generating and sending an indication signal when the corresponding installation stage's window period is reached. In practical applications, when the suction pile stops sinking during its own weight sinking stage, a digital twin is used to determine the window period for the suction pile's negative pressure sinking stage based on sea state prediction information. Upon reaching the window period for the negative pressure sinking stage, the indication information is sent to instruct the control system to measure the monitoring data for the negative pressure sinking stage, thereby enabling dynamic parameter adjustment of the suction pile during the negative pressure sinking stage. When the suction pile stops sinking during the negative pressure sinking stage, a digital twin is used to determine the window period for the suction pile during the wind turbine tower and unit hoisting stage or the suction pile grouting stage based on sea state prediction information. When the window period for the wind turbine tower and unit hoisting stage or the suction pile grouting stage is reached, the control system is instructed to measure the monitoring data of the wind turbine tower and unit hoisting stage or the suction pile grouting stage through the indication information, thereby dynamically adjusting the parameters of the wind turbine tower and unit hoisting stage or the suction pile grouting stage.

[0042] By implementing this embodiment, a digital twin of the suction pile is constructed and utilized. Control signals are generated from monitoring data of the suction pile during its underwater sinking phase to control the sinking rate. This allows for dynamic adjustment of parameters during the underwater sinking phase by measuring the monitoring data. Furthermore, by acquiring sea state prediction information, the window period for the underwater sinking phase is determined, thus defining the window periods between different stages of the suction pile. The output of the digital twin guides the installation process of the suction pile foundation structure, providing data support for offshore wind power suction pile installation, ensuring the rationality of each stage of the project, thereby reducing the construction period and lowering project costs.

[0043] In practical applications, after suction piles are transported to the construction site by transport ships, the suction bucket guide frame foundation structure is lifted by the construction ship. The sinking of the suction piles is achieved by controlling the lifting force of the construction ship, i.e., the self-weight of the suction pile is equal to the sum of the soil resistance and the lifting force of the hook, and the sinking rate of the suction pile is related to the magnitude of the lifting force of the hook. However, in practical applications, construction personnel can only control the magnitude of the lifting force of the suction pile hook based on their own experience, which cannot guarantee the objectivity and accuracy of the control process. Therefore, to avoid the suction piles sinking too quickly, causing deformation, or to avoid the suction piles sinking too slowly, prolonging the construction period and increasing project costs, the following optional implementation methods are proposed.

[0044] In an optional implementation, step S202 above, the underwater sinking stage includes a self-weight sinking stage. The specific process of using a digital twin to simulate and calculate monitoring data as input, obtaining calculation results corresponding to the monitoring data, generating a control signal based on the calculation results, and sending the control signal to the control system to control the rate of the suction pile during the underwater sinking stage includes:

[0045] (1) Using a digital twin, the predicted rate of sinking of suction piles by their own weight is determined based on monitoring data.

[0046] In practical applications, using digital twins to determine the predicted rate of self-weight settlement of suction piles based on monitoring data, and using the predicted rate of self-weight settlement of suction piles as the calculation result corresponding to the monitoring data, is a relatively mature technology, which will not be elaborated here.

[0047] (2) Generate the lifting force control command for suction piles based on the predicted sinking rate of self-weight.

[0048] Specifically, the lifting force control command for suction piles is generated based on the predicted self-weight settlement rate, which refers to the correspondence between the predicted self-weight settlement rate and the preset settlement rate range.

[0049] In practical applications, when the predicted self-weight sinking rate exceeds the preset sinking rate range, a lifting force control command to increase the lifting force is generated; when the predicted self-weight sinking rate is lower than the preset sinking rate range, a lifting force control command to decrease the lifting force is generated; and when the predicted self-weight sinking rate meets the preset sinking rate range, a lifting force control command to maintain the lifting force is generated.

[0050] (3) Send the lifting force control command to the control system so that the control system can control the sinking rate of the suction pile during the self-weight sinking stage.

[0051] In practical applications, after receiving the lifting force control command, the control system sends the lifting force control command to the corresponding construction vessel to control the lifting force of the corresponding suction pile, thereby controlling the sinking rate of the suction pile during the self-weight sinking stage.

[0052] By implementing this embodiment, monitoring data of the suction pile during its self-weight settling phase is measured, and this data is used as input values ​​for a digital twin to determine the predicted self-weight settling rate of the suction pile. Based on the correspondence between the predicted self-weight settling rate and a preset settling rate range, a corresponding lifting force control command for the suction pile is generated, enabling the control system to control the settling rate of the suction pile during its self-weight settling phase. This process, supported by monitoring data and the predicted self-weight settling rate, effectively ensures the objectivity and accuracy of the control process, guarantees the rationality of the engineering process, thereby reducing the construction period and lowering project costs.

[0053] In an optional implementation, the specific process of obtaining sea state prediction information based on monitoring data when the suction pile stops sinking includes:

[0054] When the sinking rate of the suction pile is detected to reach a preset value, it is determined that the suction pile will stop sinking under its own weight, and sea state prediction information is obtained. The sea state prediction information is the first sea state prediction information.

[0055] Specifically, the preset value can be set according to the actual working conditions. In practical applications, zero is usually selected as the preset value. In practical applications, the detection that the sinking rate of the suction pile reaches the preset value indicates that the sinking stage of the suction pile under its own weight has ended.

[0056] In an optional implementation, step S204 above, which utilizes a digital twin to determine the specific window period for the suction pile during the installation phase based on sea state prediction information, includes:

[0057] (1) Using a digital twin, the force parameters of the suction pile are determined based on the first sea state prediction information.

[0058] Specifically, determining the stress parameters of the suction pile using a digital twin based on the first sea state prediction information means inputting the first sea state prediction information as input parameters into the digital twin to simulate and calculate the stress parameters of the suction pile under extreme working conditions. The stress parameters of the suction pile include: the stress and deformation of the suction bucket jacket foundation structure, the levelness of the foundation top flange surface, or other parameters.

[0059] (2) Determine the window period of suction piles in the negative pressure sinking stage based on the correspondence between the force parameters and the window period.

[0060] Specifically, based on the correspondence between stress parameters and window period, determining the window period of suction piles in the negative pressure sinking stage refers to judging the stability of suction piles under extreme working conditions based on stress parameters, and determining the time during which the existing suction pile structure remains undeformed under extreme working conditions.

[0061] By implementing this embodiment, a digital twin is used to determine the window period for suction piles during the negative pressure sinking stage based on sea condition prediction information. This process is equivalent to determining the time during which suction piles will not undergo structural deformation under extreme working conditions, thus providing a data foundation for sending instruction information and carrying out the next stage, namely the measurement of monitoring data during the negative pressure sinking stage. While ensuring project safety, the construction window period is fully utilized, ship resources are mobilized, and project costs are further reduced.

[0062] In practical applications, after the suction pile completes its self-weight sinking stage, it enters the negative pressure sinking stage. During this stage, a suction pump extracts seawater from the suction pile to create negative pressure. Under this negative pressure, the suction pile enters the penetration stage; this process is known as the negative pressure sinking stage. To avoid excessively fast pumping speeds that could cause deformation of the pumping tank, or excessively slow pumping speeds that could prolong the construction period and increase project costs, the following optional implementation methods are proposed.

[0063] In an optional implementation, step S202 above, the underwater sinking stage includes a negative pressure sinking stage. The process of using a digital twin to simulate and calculate monitoring data as input, obtaining calculation results corresponding to the monitoring data, generating a control signal based on the calculation results, and sending the control signal to the control system to control the rate of the suction pile during the underwater sinking stage includes:

[0064] (1) Using a digital twin, the negative pressure sinking rate of the suction pile is determined based on monitoring data.

[0065] In practical applications, using digital twins to determine the negative pressure sinking rate of suction piles based on monitoring data, and using the negative pressure sinking rate of suction piles as the calculation result corresponding to the monitoring data, is a relatively mature technology, which will not be elaborated here.

[0066] (2) Generate a pumping rate control command for suction piles based on the negative pressure sinking rate.

[0067] Specifically, the pumping rate control command for suction piles is generated based on the negative pressure sinking rate, which refers to the correspondence between the negative pressure sinking rate and the preset sinking pumping rate range.

[0068] In practical applications, when the negative pressure sinking rate exceeds the preset sinking pumping rate range, a pumping rate control command to reduce the power of the suction pump is generated; when the negative pressure sinking rate is lower than the preset sinking pumping rate range, a pumping rate control command to increase the power of the suction pump is generated; and when the negative pressure sinking rate meets the preset sinking pumping rate range, a pumping rate control command to maintain the power of the suction pump is generated.

[0069] (3) Send the pumping rate command to the control system to control the sinking rate of the suction pile during the negative pressure sinking stage.

[0070] In practical applications, after receiving the pumping rate command, the control system sends the pumping rate command to the suction pump system so that the suction pump system can adjust the power of the corresponding suction pump, thereby controlling the negative pressure sinking rate of the suction pile during the negative pressure sinking stage.

[0071] By implementing this embodiment, monitoring data of the suction pile during the negative pressure sinking stage is measured, and the corresponding monitoring data is used as input values ​​for a digital twin to determine the negative pressure sinking rate of the suction pile. Based on the correspondence between the negative pressure sinking rate and a preset sinking pumping rate range, a corresponding pumping rate control command for the suction pile is generated, enabling the control system to control the negative pressure sinking rate of the suction pile during the negative pressure sinking stage. This process, supported by monitoring data and the negative pressure sinking rate, effectively ensures the objectivity and accuracy of the control process, guarantees the rationality of the engineering process, thereby reducing the construction period and achieving a reduction in project costs.

[0072] In an optional implementation, step S203 above includes monitoring data such as the seabed elevation outside and inside the suction pile. The specific process of obtaining sea state prediction information based on the monitoring data when the suction pile stops sinking includes:

[0073] When the seabed elevation outside and inside the suction pile is detected to reach the preset design elevation, the suction pile is determined to stop sinking under negative pressure, and sea state prediction information is obtained. The sea state prediction information is the second sea state prediction information.

[0074] Specifically, the preset design elevation can be set according to actual working conditions. In practical applications, due to slight differences in the seabed elevation at each bucket location, the preset design elevation for each suction bucket will differ. In practical applications, when the seabed elevation outside and inside the suction pile reaches the preset design elevation, it indicates the end of the negative pressure sinking stage of the suction pile. In practical applications, the seabed elevation outside and inside the suction pile refers to the height of the top of the suction bucket from the seabed surface. The detection that the seabed elevation of the suction pile reaches the preset design elevation indicates the distance the suction pile has traveled under negative pressure to enter the penetration stage, reaching the preset distance.

[0075] In an optional implementation, step S204 above, which utilizes a digital twin to determine the specific window period for the suction pile during the installation phase based on sea state prediction information, includes:

[0076] (1) Using a digital twin, the bearing parameters of the suction pile are determined based on the second sea state prediction information.

[0077] Specifically, determining the bearing parameters of suction piles using a digital twin based on second sea state prediction information means inputting the second sea state prediction information as input parameters into the digital twin to simulate and calculate the bearing parameters of the suction piles under extreme working conditions. The bearing parameters of the suction piles include: the stress and deformation of the suction bucket jacket foundation structure, the levelness of the foundation top flange surface, or other parameters.

[0078] (2) Determine the window period for suction piles during the wind turbine tower and unit hoisting stage or the suction pile grouting stage based on the correspondence between bearing parameters and window period.

[0079] Specifically, based on the correspondence between bearing parameters and window periods, determining the window period for suction piles during the wind turbine tower and unit hoisting stage or the suction pile grouting stage refers to judging the bearing capacity of suction piles under extreme working conditions based on bearing parameters, and determining the time during which the existing suction pile structure remains undeformed under extreme working conditions.

[0080] In an alternative implementation, after determining the window period for the suction pile during the wind turbine tower and unit hoisting stage or the suction pile grouting stage, the method for dynamically adjusting the process parameters of the suction pile further includes:

[0081] Based on the correspondence between the bearing parameters of the suction pile and the preset bearing parameters, the procedures for the suction pile installation stage (wind turbine tower and unit hoisting) and the suction pile grouting stage are determined.

[0082] Specifically, the preset bearing parameters can be set according to the actual working conditions. Since the hydrological environment of the construction location is different, the impact on suction piles is also different. This application does not make specific limitations on this.

[0083] In practical applications, when the bearing capacity of the suction pile exceeds the preset bearing capacity, the suction pile will first undergo the corresponding procedures for the wind turbine tower and unit hoisting stage, and then the corresponding procedures for the suction pile grouting stage; when the bearing capacity of the suction pile does not reach the preset bearing capacity, the suction pile will first undergo the corresponding procedures for the suction pile grouting stage, and then the corresponding procedures for the wind turbine tower and unit hoisting stage.

[0084] By implementing this embodiment, digital twins are used to determine the window period for suction piles during the wind turbine tower and unit hoisting stage or the suction pile grouting stage based on sea condition prediction information. This process is equivalent to determining the time during which suction piles will not undergo structural deformation under extreme working conditions, thereby providing a data foundation for sending instruction information and carrying out the measurement of monitoring data in the next stage. While ensuring project safety, the construction window period is fully utilized, ship resources are mobilized, and project costs are further reduced.

[0085] This embodiment provides a dynamic control device for the process parameters of suction piles, such as... Figure 3 As shown, it includes: a construction unit 31, a control signal transmission unit 32, a sea state prediction information acquisition unit 33, a window period determination unit 34, and an indication signal transmission unit 35.

[0086] Construction unit 31 is used to construct a digital twin of the suction pile. For details, please refer to the description of step S201 in the above embodiments, which will not be repeated here.

[0087] The control signal sending unit 32 is used to measure monitoring data during the sinking stage of the suction pile in water. It uses a digital twin to perform simulation calculations with the monitoring data as input, obtaining calculation results corresponding to the monitoring data. Based on the calculation results, it generates a control signal and sends the control signal to the control system, enabling the control system to control the sinking rate of the suction pile in water. For details, please refer to the description of step S202 in the above embodiment; it will not be repeated here.

[0088] The sea state prediction information acquisition unit 33 is used to acquire sea state prediction information based on monitoring data when the suction pile stops sinking. For details, please refer to the description of step S203 in the above embodiments, which will not be repeated here.

[0089] The window period determination unit 34 is used to determine the window period for the suction pile during the installation phase using a digital twin and sea state prediction information. For details, please refer to the description of step S204 in the above embodiments, which will not be repeated here.

[0090] The indication signal sending unit 35 is used to send an indication signal to the control system when the window period is reached. The indication signal is used to instruct the control system to measure the monitoring data of the suction pile at the corresponding stage. For details, please refer to the relevant description of step S205 in the above embodiment, which will not be repeated here.

[0091] By implementing this embodiment, a digital twin of the suction pile is constructed and utilized through a construction unit and a control signal transmission unit. Control signals are generated using monitoring data from the suction pile's sinking phase in water to control its sinking rate. This allows for dynamic adjustment of parameters during the sinking phase by measuring the suction pile's monitoring data. Furthermore, sea state prediction information is acquired through a sea state prediction unit, a window period determination unit, and an indication signal transmission unit to determine the window periods for each stage of the suction pile installation, thus defining the window periods between different stages. The output of the digital twin guides the installation process of the suction pile foundation structure, providing data support for offshore wind power suction pile installation, ensuring the rationality of each stage of the project, thereby reducing the construction period and lowering project costs.

[0092] One embodiment of the present invention also provides a computer-readable storage medium storing computer-executable instructions that can execute the dynamic control method for the process parameters of the suction pile in any of the above method embodiments. The storage medium may be a magnetic disk, optical disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk drive (HDD), or solid-state drive (SSD), etc.; the storage medium may also include combinations of the above types of memory.

[0093] One embodiment of the present invention also provides a computer device, such as... Figure 4 As shown, Figure 4 This is a schematic diagram of a computer device according to an optional embodiment of the present invention. The computer device may include at least one processor 41, at least one communication interface 42, at least one communication bus 43, and at least one memory 44. The communication interface 42 may include a display screen and a keyboard; optionally, the communication interface 42 may also include a standard wired interface or a wireless interface. The memory 44 may be high-speed RAM (Random Access Memory) or non-volatile memory, such as at least one disk storage device. Optionally, the memory 44 may also be at least one storage device located remotely from the aforementioned processor 41. The processor 41 may be combined with... Figure 3 The described apparatus has an application program stored in memory 44, and the processor 41 calls the program code stored in memory 44 to execute the steps of the dynamic control method for the process parameters of the suction pile described in any of the above method embodiments.

[0094] The communication bus 43 can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The communication bus 43 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0095] The memory 44 may include volatile memory, such as random-access memory (RAM); the memory may also include non-volatile memory, such as flash memory, hard disk drive (HDD) or solid-state drive (SSD); the memory 44 may also include a combination of the above types of memory.

[0096] The processor 41 can be a central processing unit (CPU), a network processor (NP), or a combination of a CPU and an NP.

[0097] The processor 41 may further include a hardware chip. This hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The PLD may be a complex programmable logic device (CPLD), a field-programmable gate array (FPGA), a generic array logic (GAL), or any combination thereof.

[0098] Optionally, the memory 44 is also used to store program instructions. The processor 41 can call the program instructions to implement the dynamic control method for the process parameters of the suction pile as described in any embodiment of the present invention.

[0099] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

Claims

1. A method for dynamically controlling the process parameters of a suction pile, characterized in that, The method includes: Constructing a digital twin of a suction pile; The monitoring data of the suction pile during the sinking stage in water is measured. The monitoring data is used as input by the digital twin to perform simulation calculations to obtain the calculation results corresponding to the monitoring data. A control signal is generated based on the calculation results and sent to the control system so that the control system can control the rate of the suction pile during the sinking stage in water. Based on the monitoring data, when the suction pile stops sinking, sea state prediction information is obtained; Using the digital twin, the window period for the installation of the suction pile is determined based on the sea state prediction information; When the window period is reached, an indication signal is generated and sent to the control system, the indication signal being used to instruct the control system to measure the monitoring data of the suction pile at the corresponding installation stage; The monitoring data includes: the sinking rate of the suction pile; the step of acquiring sea state prediction information when the suction pile stops sinking based on the monitoring data includes: when the sinking rate of the suction pile reaches a preset value, determining that the suction pile stops sinking under its own weight, and acquiring the sea state prediction information, which is the first sea state prediction information; the step of determining the window period of the suction pile during the installation stage using the digital twin based on the sea state prediction information includes: using the digital twin based on the first sea state prediction information to determine the force parameters of the suction pile; and determining the window period of the suction pile during the negative pressure sinking stage based on the correspondence between the force parameters and the window period.

2. The method according to claim 1, characterized in that, The underwater sinking stage includes a gravity sinking stage. The process of using the digital twin to simulate and calculate the monitoring data as input, obtaining calculation results corresponding to the monitoring data, generating control signals based on the calculation results, and sending the control signals to the control system to control the rate of the suction pile during the underwater sinking stage includes: Using the digital twin, the predicted rate of sinking due to the gravity of the suction pile is determined based on the monitoring data; Based on the predicted self-weight sinking rate, a lifting force control command for the suction pile is generated; The lifting force control command is sent to the control system so that the control system controls the sinking rate of the suction pile during the self-weight sinking stage.

3. The method according to claim 1, characterized in that, The underwater sinking stage includes a negative pressure sinking stage. The process of using the digital twin to simulate and calculate the monitoring data as input, obtaining calculation results corresponding to the monitoring data, generating control signals based on the calculation results, and sending the control signals to the control system to control the rate of the suction pile during the underwater sinking stage includes: Using the digital twin, the negative pressure sinking rate of the suction pile is determined based on the monitoring data; Based on the negative pressure sinking rate, a pumping rate control command for the suction pile is generated; The pumping rate control command is sent to the control system to control the sinking rate of the suction pile during the negative pressure sinking stage.

4. The method according to claim 3, characterized in that, The monitoring data includes: the seabed elevation outside and inside the suction pile; and based on the monitoring data, when the suction pile stops sinking, the acquisition of sea state prediction information includes: When the seabed elevation outside and inside the suction pile is detected to reach the preset design elevation, it is determined that the suction pile will stop sinking under negative pressure, and the sea state prediction information is obtained. The sea state prediction information is the second sea state prediction information.

5. The method according to claim 4, characterized in that, The step of using the digital twin to determine the installation window for the suction pile based on the sea state prediction information includes: Using the digital twin, the bearing parameters of the suction pile are determined based on the second sea state prediction information; Based on the correspondence between the bearing parameters and the window period, the window period for the suction pile during the wind turbine tower and unit hoisting stage or the suction pile grouting stage is determined.

6. A dynamic control device for the process parameters of a suction pile, characterized in that, The device includes: Building blocks are used to construct digital twins of suction piles; A control signal sending unit is used to measure monitoring data of the suction pile during the water sinking stage, use the digital twin to perform simulation calculations with the monitoring data as input, obtain calculation results corresponding to the monitoring data, generate control signals based on the calculation results, and send the control signals to the control system so that the control system controls the rate of the suction pile during the water sinking stage. The sea state prediction information acquisition unit is used to acquire sea state prediction information based on the monitoring data when the suction pile stops sinking; the monitoring data includes the sinking rate of the suction pile; the acquisition of sea state prediction information based on the monitoring data when the suction pile stops sinking includes: when the sinking rate of the suction pile reaches a preset value, determining that the suction pile stops sinking under its own weight, and acquiring the sea state prediction information, wherein the sea state prediction information is first sea state prediction information; The window period determination unit is used to determine the window period of the suction pile during the installation phase using the digital twin and the sea state prediction information. The determination of the window period of the suction pile during the installation phase using the digital twin and the sea state prediction information includes: determining the force parameters of the suction pile using the digital twin and the first sea state prediction information; and determining the window period of the suction pile during the negative pressure sinking phase based on the correspondence between the force parameters and the window period. An indication signal sending unit is used to send an indication signal to the control system when the window period is reached. The indication signal is used to instruct the control system to measure the monitoring data of the suction pile at the corresponding stage.

7. A computer-readable storage medium, characterized in that, The medium stores computer instructions. When the computer instructions are executed by the processor, the method for dynamically controlling the process parameters of the suction pile as described in any one of claims 1 to 5 is implemented.

8. A computer device, characterized in that, include: At least one processor; and a memory connected to the at least one processor; The memory stores computer program instructions, which, when executed by the at least one processor, implement the dynamic control method for the process parameters of the suction pile as described in any one of claims 1 to 5.

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