Method for construction control of scour protection for a subsea data center

Abstract

The application provides a construction control method for an anti-scour device of a submarine data center, and belongs to the technical field of construction control. The method comprises the following steps: step 1, data acquisition and preprocessing are performed on the anti-scour device of the submarine data center; step 2, a prediction model for the anti-scour device of the submarine data center is constructed; step 3, a predictive adjustment algorithm is executed according to the predicted sea current velocity and the cumulative scour depth; and step 4, the thickness of the anti-scour plate and the density of the bionic water grass of the anti-scour device are determined based on the maximum flow rate in the sea current flow rate output by the prediction model. The multi-dimensional data fusion model and the prediction adjustment algorithm are constructed, the predictive control of the posture of the anti-scour device is realized, the parameter design in the construction process of the pile foundation anti-scour device of the submarine data center is optimized, the adaptability of the anti-scour device to long-term and dynamic marine environments is improved, and the long-term safety and stability of the pile foundation of the submarine data center are ensured.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of construction control, and particularly relates to a construction control method for an anti-scour device of a submarine data center. BACKGROUND

[0002] The submarine data center has significant advantages in resource utilization efficiency and cost control due to the natural cooling effect of seawater, but its pile foundation is long-term challenged by the scour of the marine flow field. The existing anti-scour device for the pile foundation of the submarine data center mentioned in the technical solution of patent announcement No. CN119163078A can collect data in real time through a water flow sensor and a terrain scanner, and rely on a control system to realize dynamic adjustment of the inclination angle and rotation angle of the device, which to some extent alleviates the problem of immediate scour, but has obvious technical defects:

[0003] The control system can only make passive response adjustment based on real-time data, and cannot integrate historical scour data, seasonal sea current change rules and other long-term dimension information to carry out predictive adjustment. In the actual marine environment, the flow velocity and direction of the sea current show significant seasonal fluctuations. For example, in the summer of the temperate zone, there are often low-speed monsoon sea currents, and in the winter, there are high-speed cold wave sea currents. At the same time, the process of seabed erosion and deposition has a cumulative characteristic. The formation of historical scour pits will change the local flow field distribution, leading to an increase in the risk of subsequent scour. The existing control method lacks predictive ability and is difficult to adjust the device posture in advance to cope with the upcoming extreme sea current or cumulative erosion and deposition risk. It is often adjusted passively after the scouring effect intensifies, at which time the pile foundation has already been subjected to additional scouring load, which long-term causes problems such as a decrease in the supporting force of the pile foundation and structural fatigue damage, seriously threatening the safe and stable operation of the submarine data center.

[0004] In addition, in the construction control process of the existing anti-scour device, device parameters such as the inclination angle of the anti-scour plate and the arrangement density of the bionic water grass are mostly designed based on experience, and a quantitative correlation model with long-term marine environmental parameters has not been established, which leads to insufficient adaptability of the device in different sea areas and different seasons, further reducing the stability and sustainability of the anti-scour effect. Therefore, developing an anti-scour device construction control method that can integrate multi-dimensional data and realize predictive adjustment has become a key technical requirement to ensure the long-term safe operation of the submarine data center. SUMMARY

[0005] In order to solve the defects in the prior art, the application provides a construction control method for an anti-scour device of a submarine data center, which aims to overcome the defects in the prior art that the construction control method for the anti-scour device of the submarine data center can only passively respond to real-time data and lacks predictive adjustment capability. The method realizes predictive control of the posture of the anti-scour device by constructing a multi-dimensional data fusion model and a predictive adjustment algorithm, optimizes the parameter design in the construction process of the pile foundation anti-scour device of the submarine data center, improves the adaptability of the anti-scour device to long-term and dynamic marine environments, and guarantees the long-term safety and stability of the pile foundation of the submarine data center.

[0006] The application uses the following technical solutions.

[0007] A construction control method for an anti-scour device of a submarine data center, comprising:

[0008] Step 1: data acquisition and preprocessing of the anti-scour device for the submarine data center;

[0009] Step 2: constructing a prediction model for the anti-scour device for the submarine data center;

[0010] Step 3: performing a predictive adjustment algorithm according to the predicted sea current velocity and cumulative scour depth;

[0011] Step 4: determining the thickness of the anti-scour plate and the density of the biomimetic water grass of the anti-scour device based on the maximum flow rate in the sea current flow rate output by the prediction model.

[0012] Further, step 1 specifically comprises:

[0013] Step 1-1: collecting three types of core data of the anti-scour device for the submarine data center;

[0014] Step 1-2: preprocessing the collected data.

[0015] Further, in step 1-1, the three types of core data comprise:

[0016] Real-time monitoring data, which includes real-time flow rate of the tidal current in the sea area where the pile foundation anti-scour device of the submarine data center is located at time acquired by a water flow sensor connected to the control system and transmitted to the control system, and real-time scour depth at time acquired by a topographic scanner connected to the control system and transmitted to the control system;

[0017] Historical data, which includes seasonal sea current velocity maximum value of the sea area where the pile foundation anti-scour device of the submarine data center is located in the last 5-10 years input into the control system and the seasonal average scouring depth of the seabed where the seabed data center pile foundation scour prevention device is located in the past 5-10 years ;

[0018] environmental parameters, including the sea sediment particle size of the seabed where the seabed data center pile foundation scour prevention device is located in the entry control system , seawater density and the depth of seawater where the pile foundation is located .

[0019] Further, in step 1-1, the topographic scanner obtains the real-time scouring depth at the moment , and the method specifically comprises:

[0020] S1: Establish a baseline topographic model;

[0021] S2: Perform real-time topographic data acquisition and matching, and perform high-risk sea area and low-risk sea area judgment;

[0022] S3: Calculate the real-time scouring depth.

[0023] Further, S1 specifically comprises:

[0024] Before the scour prevention device is installed, or within 1-2 weeks after the seabed is in a stable state, complete the baseline topographic data acquisition and modeling, which includes data acquisition, elevation calibration and baseline modeling, to obtain relative elevation data one ;

[0025] Further, S2 specifically comprises:

[0026] During the operation of the scour prevention device, the topographic scanner is used to collect real-time topographic data at a set frequency:

[0027] Real-time scanning: Start the fixedly deployed topographic scanner, collect the relative elevation data two of the current seabed according to the same scanning density and elevation calibration method as the baseline modeling;

[0028] Spatial matching: Through the GPS positioning module and the pile foundation center coordinates , provided by the topographic scanner, the real-time topographic data and the baseline topographic model are spatially aligned to ensure that the scanning points at the same physical position are consistent in coordinates in the real-time topographic data and the baseline topographic model.

[0029] Further, S3 specifically comprises:

[0030] Based on the relative elevation data one and the relative elevation data two The real-time scouring depth is calculated by the elevation difference method, and the specific formula is as follows:

[0031] For any scanning point with spatial coordinates (x, y, z), the calculation formula of the real-time scouring depth feature , is as follows:

[0032] = - ;

[0033] If >0: it indicates that the seabed elevation of the scanning point is lower than the reference surface, and there is scouring, and the value of is the scouring depth;

[0034] If ≤0: it indicates that the seabed elevation of the scanning point is higher than the reference surface, and the scouring depth is 0;

[0035] Then, the average value of the scouring depth at is taken as .

[0036] Further, in S2, the judgment method of high-risk sea areas and low-risk sea areas is as follows:

[0037] First, four core indexes affecting seabed scouring are selected, and the weights of the indexes are determined by the analytic hierarchy process AHP. The four core indexes are , , and , , , and , and the index weights are 0.4, 0.25, 0.2 and 0.15 respectively;

[0038] According to the four core indexes and the index weights, the total risk score is calculated, and the calculation formula is as follows:

[0039] ;

[0040] Among them, , , and are the normalized values of , , and ;

[0041] If Therefore, the sea area where the anti-scouring device for the pile foundation of the submarine data center is located is determined to be a low-risk sea area.

[0042] if Therefore, the area where the anti-scouring device for the pile foundation of the submarine data center is located is determined to be a high-risk sea area.

[0043] Furthermore, steps 1-2 specifically include:

[0044] The moving average method is used to remove high-frequency noise from real-time monitoring data, and linear interpolation is used to fill in missing values ​​in historical data.

[0045] Furthermore, step 2 specifically includes:

[0046] Step 2-1: Construct a seasonal ocean current prediction model;

[0047] Step 2-2: Construct a cumulative scour depth prediction model.

[0048] Furthermore, step 2-1 specifically includes:

[0049] Based on historical seasonal ocean current data of the sea area where the subsea data center pile foundation scour protection device is located, an improved time-series ARIMA model is used to predict the ocean current velocity for the next 1-7 days. The improved time series ARIMA model formula is as follows:

[0050] ;

[0051] Where k is the prediction step size, 1≤k≤168 hours. For the set constant term, The set autoregressive coefficients, The set moving average coefficient, Here, p and q are the values ​​determined by the AIC information criteria, representing the initial error term. exist Real-time flow rate at any given moment.

[0052] Furthermore, step 2-2 specifically includes:

[0053] Predicted cumulative scour depth over the next 1-3 months The calculation formula is as follows:

[0054] ;

[0055] Where m is the predicted number of months, 1≤m≤3, and g is the gravitational acceleration. H1 is the set drag coefficient, H1 is the height of the anti-scour plate of the anti-scour device for the pile foundation of the submarine data center, and Δt is the time step.

[0056] Further, step 3 specifically includes:

[0057] Step 3-1: Based on the predicted current velocity and the cumulative scour depth , the scour protection device posture adjustment objective function is constructed :

[0058] ;

[0059] wherein, is the MIN function, 1, is the set weight coefficient, 1 =1, is the set optimal scour board incident flow velocity, is the set safe cumulative scour depth, is the historical maximum current velocity of the sea area where the seabed data center pile foundation scour protection device is located, is the set maximum scour depth allowed by the pile foundation;

[0060] Step 3-2: Solve the scour protection device posture adjustment objective function by gradient descent method to obtain the optimal inclination angle and the optimal rotation angle , the calculation formula of the gradient descent method is:

[0061] ;

[0062] wherein and are the inclination angle and rotation angle of the scour protection device at the current time, respectively, and the inclination angle and rotation angle of the scour protection device are collected and transmitted to the control system through the inclination sensor and the rotary potentiometer connected to the control system, is the set learning rate;

[0063] Step 3-3: The control system drives the hydraulic rod and the ball bearing to adjust the inclination angle of the scour protection device to and the rotation angle of the scour protection device to .

[0064] Further, step 4 specifically includes:

[0065] In the block prefabrication stage of the scour protection device, based on the maximum flow velocity output by the prediction model , the scour protection device's scour board thickness h and bionic water grass density are determined:

[0066] ;

[0067] wherein, is the MAX function, L is the apron span, σ is the tensile strength of the apron material, is the set minimum effective flow rate threshold; K is the set conversion factor.

[0068] The beneficial effects of the present application are that, compared with the prior art, the technical effects of the present application are as follows:

[0069] Predictive regulation effect: Compared with the existing passive response control, the method responds to high flow rate ocean currents 48 hours in advance, and the scour load borne by the pile foundation of the submarine data center is reduced by 35%-45%, and the cumulative scour depth is reduced by 25%-30%, effectively avoiding the passive situation of "intensified scour and then adjustment".

[0070] Construction adaptability improvement: Based on the optimized thickness of the apron and the density of the bionic water grass based on seasonal prediction data, the scour prevention efficiency of the pile foundation scour prevention device of the submarine data center fluctuates in the range of ±8% from ±20% in different seasons, which significantly improves the adaptability to dynamic marine environment.

[0071] Long-term stability guarantee: Through the fusion of historical data and real-time data, the prediction model can give an early warning of cumulative scour risk 3 months in advance, and combined with parameter optimization, the design service life of the pile foundation of the submarine data center is extended from 20 years to 25-30 years, reducing the operation and maintenance cost of the submarine data center.

[0072] Response efficiency optimization: The response time of the prediction regulation algorithm of the control system is ≤30 seconds, which is more than 60% higher than that of the existing control system (1-2 minutes), ensuring rapid adjustment of the posture in the event of sudden changes in ocean currents, and further enhancing the protection reliability. BRIEF DESCRIPTION OF DRAWINGS

[0073] Figure 1 is a flowchart of the construction control method of the scour prevention device for the submarine data center in the present application. DETAILED DESCRIPTION

[0074] In order to make the purpose, technical scheme and advantages of the present application clearer, the technical scheme of the present application will be clearly and completely expressed below in combination with the drawings in the embodiments of the present application. The embodiments expressed in the present application are only a part of the embodiments of the present application, not all the embodiments. According to the spirit of the present application, other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the present application.

[0075] As Figure 1 shown, a construction control method of a scour prevention device for a submarine data center comprises:

[0076] Step 1: data acquisition and preprocessing of the scour protection device for the submarine data center; the scour protection device for the submarine data center is the scour protection device for the pile foundation of the submarine data center.

[0077] In the preferred but non-limiting embodiments of the present application, step 1 specifically comprises:

[0078] Step 1-1: collecting three types of core data of the scour protection device for the submarine data center;

[0079] In the preferred but non-limiting embodiments of the present application, in step 1-1, the three types of core data include:

[0080] Real-time monitoring data, including real-time flow rate of tidal flow at the moment of the scour protection device for the pile foundation of the submarine data center through the water flow sensor connected to the control system of the scour protection device for the pile foundation of the submarine data center and transmitted to the control system, and real-time scouring depth at the moment obtained by the topographic scanner connected to the control system and transmitted to the control system; Historical data, including seasonal maximum flow rate of the sea area where the scour protection device for the pile foundation of the submarine data center is located in the last 5-10 years recorded into the control system, and seasonal average scouring depth of the sea area where the scour protection device for the pile foundation of the submarine data center is located in the last 5-10 years

[0081] ; Environmental parameters, including sea area sediment particle size , seawater density

[0082] and water depth where the pile foundation is located of the sea area where the scour protection device for the pile foundation of the submarine data center is located recorded into the control system.

[0083] In the preferred but non-limiting embodiments of the present application, in step 1-1, the method for obtaining the real-time scouring depth at the moment of the scour protection device for the pile foundation of the submarine data center specifically comprises: I. Method principle

[0084]

[0085] ​​​​The core principle of the topographic scanner to obtain real-time scour depth is to collect three-dimensional topographic data of the seabed around the pile foundation by high-precision distance measurement technology (such as multi-beam echo sounding, side scan sonar or laser sounding), combined with reference topographic calibration and dynamic difference calculation, to determine the elevation change of the seabed surface relative to the initial stable state, and then extract the real-time scour depth near the pile foundation (i.e. the vertical depth of the concave area formed after the seabed is scoured relative to the reference surface).

[0086] This method needs to meet two key prerequisites: one is to establish a "reference topographic model" of the seabed in the initial stable period after the pile foundation is installed, which serves as a reference for subsequent scour depth calculation; the other is to obtain "dynamic topographic data" of the current seabed through regular or real-time scanning, and through spatial matching and elevation difference analysis of the two, to accurately locate the scour pit range and calculate the depth.

[0087] II. Core equipment selection and deployment

[0088] (1) Equipment selection

[0089] Considering the special nature of the seabed environment (low visibility, high pressure, and silt interference), high-precision topographic scanning equipment suitable for underwater working conditions should be selected first to form the topographic scanner.

[0090] The topographic scanner is formed by combining "multi-beam echo sounder and underwater laser depth sounder". The multi-beam echo sounder is responsible for obtaining large-scale topographic data within 10-50m around the pile foundation, and the underwater laser depth sounder focuses on the 0.5-5m near zone at the bottom of the pile foundation (the junction between the seabed and the pile), making up for the measurement blind zone of multi-beam in the near zone and ensuring the integrity of the scour depth data.

[0091] (2) Equipment deployment location

[0092] Fixed deployment: 3-4 topographic scanners (such as 2 multi-beam echo sounders and 2 laser depth sounders forming a topographic scanner) are installed evenly around the support beam of the seabed data center pile foundation (or the support frame of the anti-scour device). The equipment probe of the topographic scanner faces the seabed surface of the sea area where the seabed data center pile foundation is located, and the vertical distance from the seabed is controlled within 1-3m (to avoid silt obstruction while ensuring measurement accuracy);

[0093] Dynamic supplementary deployment: a portable side scan sonar is mounted on a transport ship or a remotely operated vehicle (ROV) to conduct dynamic scanning within a range of 50-100m around the pile foundation every 1-2 weeks to verify the accuracy of the data from the fixed equipment and monitor the scouring and silting trend of the large-scale seabed.

[0094] III. Specific implementation steps

[0095] S1: Establish a reference topographic model (before installation / initial stable period);

[0096] In a preferred but non-limiting embodiment of the present invention, S1 specifically includes:

[0097] Before installing the anti-scouring device, or within 1-2 weeks after installation when the seabed is in a stable state (at which point the initial disturbance of the seabed by the ocean currents has subsided), complete the baseline topographic data acquisition and modeling. Baseline topographic data acquisition and modeling includes data acquisition, elevation calibration, and baseline modeling to obtain relative elevation data. The details are as follows:

[0098] Data acquisition: The seabed within a range of 0-50m around the pile foundation was fully scanned using a multibeam echo sounder and laser depth sounder of a fixed-deployment topographic scanner. The scanning density was set as follows: one data point every 0.1m within 5m of the pile foundation and one data point every 0.5m in the range of 5-50m.

[0099] Elevation calibration: The elevation of the lower surface of the pile foundation support beam is used as the reference (denoted as ). ), and the elevation data of all scanned points ( , which indicates the first Elevation data of each scan point is converted into relative elevation data relative to the lower surface of the support beam. , Indicates the first The relative elevation of each scanning point (1) ensures consistency in subsequent measurements;

[0100] Benchmark modeling: Using ArcGIS or Surfer software, the preprocessed relative elevation data is fitted into a "benchmark topographic model of the seabed around the pile foundation" (raster model, resolution 0.1-0.5m), and the center coordinates of the pile foundation are marked. , This serves as a reference benchmark for subsequent scour depth calculations.

[0101] S2: Perform real-time terrain data acquisition and matching, and determine high-risk and low-risk sea areas;

[0102] In a preferred but non-limiting embodiment of the present invention, S2 specifically includes:

[0103] During the operation of the anti-scouring device, real-time topographic data is collected using a terrain scanner at a set frequency (which can be adjusted according to the scouring risk of the sea area: once every 2 hours for high-risk sea areas and once every 6 hours for low-risk sea areas):

[0104] Real-time scanning: Activate the fixed-deployment terrain scanner and collect the current seabed relative elevation data using the same scanning density and elevation calibration method as the baseline modeling. ( Indicates the first the relative elevation of the scanning point; and

[0105] Spatial matching: through the GPS positioning module (accuracy ± 0.5m) of the terrain scanner and the center coordinate of the pile foundation (X, Y, Z), the real-time terrain data is spatially aligned with the reference terrain model, and the scanning points at the same physical position are ensured to have consistent coordinates (error ≤ 0.1m) in the real-time terrain data and the reference terrain model. S3: calculating the real-time scouring depth.

[0106] In a preferred but non-limiting embodiment of the present application, S3 specifically includes:

[0107] based on the relative elevation data one and the relative elevation data two

[0108] , the real-time scouring depth is calculated by the elevation difference method, and the specific formula and logic are as follows: Single-point scouring depth calculation:

[0109] For any scanning point with spatial coordinates (X, Y, Z), the calculation formula of the real-time scouring depth feature

[0110] is as follows:

[0111] = - ;

[0112] If > 0: it indicates that the seabed elevation of the scanning point is lower than the reference surface, and there is scouring, and the value of is the scouring depth;

[0113] If ≤ 0: it indicates that the seabed elevation of the scanning point is higher than the reference surface (possibly silt deposition), and the scouring depth is 0;

[0114] Then the average value of the scouring depth at is taken as .

[0115] Through the above method, the terrain scanner can realize high-precision and real-time monitoring of the scouring depth around the seabed data center pile foundation, and the specific application effects are as follows:

[0116] Data accuracy: single-point scouring depth measurement error ≤ 0.05m, regional average scouring depth error ≤ 0.03m, meeting the engineering precision requirements of pile foundation scouring risk assessment;

[0117] ​​​​Response speed: the total time from data acquisition, calculation to transmission to the control system is less than or equal to 30 seconds, which can support real-time posture adjustment of the anti-scour device or provide high-frequency data input for predictive adjustment;

[0118] Stability: under the working condition of silt concentration less than or equal to 50 mg / L and sea current flow rate less than or equal to 3 m / s, the continuous operation failure rate of the device is less than or equal to 1%, which can stably output scour depth data for a long time and provide reliable data support for the safety protection of the pile foundation of the seabed data center.

[0119] In the preferred but non-limiting embodiment of the present application, in S2, the judgment method of the high-risk sea area and the low-risk sea area is as follows:

[0120] Firstly, four core indexes affecting seabed scour are selected, and the weights of the indexes are determined by AHP (Analytic Hierarchy Process), and the four core indexes are 、 、 and , 、 、 and .

[0121] The total risk score is calculated according to the four core indexes and the index weights , and the calculation formula is as follows:

[0122]

[0123] Among them, 、 、 and are the normalized values of 、 、 and .

[0124] If , it is determined that the sea area where the seabed data center pile foundation anti-scour device is located is a low-risk sea area.

[0125] If , it is determined that the sea area where the seabed data center pile foundation anti-scour device is located is a high-risk sea area.

[0126] Step 1-2: Preprocessing the collected data.

[0127] In the preferred but non-limiting embodiment of the present application, step 1-2 specifically includes:

[0128] ​The moving average method is used to remove high-frequency noise in real-time monitoring data, and linear interpolation is used to fill in missing values in historical data to ensure data integrity. The real-time monitoring data and historical data mentioned in the following steps are the preprocessed data of each.

[0129] Step 2: Constructing a prediction model for the anti-scour device for the submarine data center;

[0130] In a preferred but non-limiting embodiment of the present application, step 2 specifically includes:

[0131] Step 2-1: Constructing a seasonal sea current prediction model;

[0132] In a preferred but non-limiting embodiment of the present application, step 2-1 specifically includes:

[0133] Based on the historical seasonal sea current data of the sea area where the pile foundation anti-scour device of the submarine data center is located, an improved time series ARIMA model is used to predict the sea current velocity in the next 1-7 days (k is the prediction step, 1≤k≤168 hours), and the formula of the improved time series ARIMA model is:

[0134] ;

[0135] where k is the prediction step, 1≤k≤168 hours, is a constant term, (i=1,2,...,p) is a set of autoregressive coefficients, (j=1,2,...,q) is a set of moving average coefficients, is a set of previous error terms, p and q are values determined by AIC information criterion (usually p=2-4, q=1-3), at time Real-time flow rate.

[0136] Step 2-2: Constructing a cumulative scour depth prediction model.

[0137] In a preferred but non-limiting embodiment of the present application, step 2-2 specifically includes:

[0138] Predicting the cumulative scour depth in the next 1-3 months (m is the prediction month, 1≤m≤3), and the calculation formula is:

[0139] ;

[0140] where m is the prediction month, 1≤m≤3, and g is the acceleration of gravity (9.8 m / s²), The set drag coefficient (determined according to the particle size of the sediment, such as μ = 0.1-0.5 mm when =0.01-0.03), H1 is the height of the anti-scour plate of the seabed data center pile foundation anti-scour device, and Δt is the time step (24 hours).

[0141] Step 3: performing a predictive adjustment algorithm according to the predicted current velocity and the cumulative scour depth;

[0142] In a preferred but non-limiting embodiment of the application, step 3 specifically comprises:

[0143] Step 3-1: based on the predicted current velocity and the cumulative scour depth , constructing an anti-scour device posture adjustment objective function :

[0144] ;

[0145] wherein, MIN is a MIN function, 1, is a set weight coefficient, 1+ =1 ( According to the specific requirements of the sea risk level, the high-risk sea area may be 0.6-0.8, and the low-risk sea area may be 0.3-0.5, is the set optimal anti-scour plate incident flow velocity (which can be 1.2-1.5 m / s), is the set safe cumulative scour depth (determined according to the specific requirements of the pile foundation design strength, which can usually be 0.5-1.0 m), is the historical maximum current velocity of the sea area where the seabed data center pile foundation anti-scour device is located, is the set maximum scour depth allowed by the pile foundation;

[0146] Step 3-2: solving the anti-scour device posture adjustment objective function by gradient descent method to obtain the optimal inclination angle and the optimal rotation angle , and the calculation formula of the gradient descent method is:

[0147] ;

[0148] wherein and are the current The inclination angle and the rotation angle of the anti-scour device at the moment, the inclination angle and the rotation angle of the anti-scour device are collected by the inclination sensor and the rotary potentiometer connected with the control system respectively and transmitted to the control system, The learning rate is set (0.01-0.05 can be taken);

[0149] The inclination angle of the anti-scour device Determine the flow area of the anti-scour plate, the rotation angle Determine the angle between the anti-scour plate and the current direction; when When the inclination angle of the anti-scour plate is increased (the anti-scour plate is more inclined), the flow area is reduced, and the effective flow velocity acting on the seabed is reduced; when When the inclination angle of the anti-scour plate is adjusted to be parallel to the current direction, the flow around effect of the current is enhanced, and the local scouring intensity is weakened (this mechanism is well known in the field of marine engineering, and reference can be made to Article 5.2.3 of Technical Specification for Pile Foundation Anti-scour of Port Engineering (JTS / T327-2020)). The physical meaning of the objective function J and the indirect relationship between the angles: the core purpose of the objective function is to minimize the "deviation between the predicted flow velocity and the optimal flow velocity" and the "deviation between the predicted cumulative scour depth and the safe depth", so as to achieve the optimal anti-scour effect. And "predicted flow velocity" and "predicted cumulative scour depth" are directly determined by the attitude angle of the anti-scour device ( , )), and the angle adjustment changes the interaction between the current and the device, thereby affecting the flow velocity and the scour depth, and finally reflected in the numerical change of the objective function J.

[0150] The partial derivative of the objective function J with respect to the inclination angle of the anti-scour device , the rotation angle of the anti-scour device , which can be calculated by mathematical derivation (because J is indirectly related to , ), the partial derivative can be derived by the chain rule, that is , wherein and can be directly derived from the objective function J, can be fitted by the least square method to obtain the function relationship between and the inclination angle of the anti-scour device , and the partial derivative operation can be performed, and the inclination angle of the anti-scour device can be derived by the least square method according to the fitting curve of time based on the historical data of the inclination angle of the anti-scour device, can be fitted by the least square method to obtain the function relationship between and the rotation angle of the anti-scour device , and the partial derivative operation can be performed, and the rotation angle of the anti-scour device The result can be derived by fitting a curve of time to the historical data of the rotation angle of the anti-scouring device using the least squares method.

[0151] Step 3-3: The control system drives the hydraulic rod and ball bearing to adjust the tilt angle of the anti-erosion device. The rotation angle with the anti-scouring device is .

[0152] Step 4: Based on the maximum current velocity output by the prediction model, determine the thickness of the anti-scour plate and the density of the bionic aquatic plants in the anti-scour device.

[0153] In a preferred but non-limiting embodiment of the present invention, step 4 specifically includes:

[0154] During the segmented prefabrication stage of the anti-scour device, the ocean current velocity output based on the prediction model was used. Maximum flow rate in Determine the thickness h of the anti-erosion plate of the anti-erosion device and the density of the bionic aquatic plants. During the prefabrication stage, biomimetic aquatic plants are arranged at this density to ensure erosion prevention under high flow velocities in winter.

[0155] ;

[0156] in, σ is the MAX function, where L is the span of the impact protection plate, and σ is the tensile strength of the impact protection plate material (e.g., for acrylic plates, σ = 60-80 MPa). The unit is plants / m² (the value ranges from 50 to 200 plants / m²). The minimum effective flow velocity threshold (unit: m / s) is defined as follows: when the flow velocity is below this value, the sediment transport capacity is weak, and there is no need to install aquatic plants. The flow rate can be taken as 0.5 m / s; K is the set conversion factor (unit: plants / (m²·(m / s))), which means: the increase in aquatic plant density required for every 1 m / s increase in "effective flow velocity". The value of K can be 10 / 3.

[0157] The beneficial effects of the present invention are as follows, compared with the prior art:

[0158] Predictive adjustment effect: Compared with the existing passive response control, this method can cope with high-velocity ocean currents 48 hours in advance, reducing the scour load on the pile foundation of the submarine data center by 35%-45% and the cumulative scour depth by 25%-30%, effectively avoiding the passive situation of "adjusting after scour intensifies".

[0159] Construction adaptability: Based on seasonal prediction data optimization, the thickness of the anti-scour plate and the density of the biomimetic water grass make the scour protection device of the submarine data center pile foundation have a ±8% fluctuation range in different seasons, significantly improving the adaptability to dynamic marine environments.

[0160] Long-term stability guarantee: By combining historical data with real-time data, the prediction model can provide a 3-month early warning of cumulative scour risk. Combined with parameter optimization, the design service life of the submarine data center pile foundation is extended from 20 years to 25-30 years, reducing the operation and maintenance cost of the submarine data center.

[0161] Response efficiency optimization: The response time of the prediction adjustment algorithm of the control system is ≤30 seconds, which is more than 60% higher than that of existing control systems (1-2 minutes), ensuring rapid adjustment of the posture in the event of sudden changes in ocean currents and further enhancing the protection reliability.

[0162] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application and not to limit it. Although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent replacements can still be made to the specific embodiments of the present application without departing from the spirit and scope of the present application. Any modifications or equivalent replacements should be covered within the protection scope of the claims of the present application.

Claims

1. A method for controlling the construction of an anti-scouring device for a submarine data center, characterized in that, The application comprises the following steps: Step 1: data acquisition and preprocessing of the anti-scour device for the submarine data center; Step 2: constructing a prediction model for the anti-scour device for the submarine data center; Step 3: performing a predictive adjustment algorithm according to the predicted current velocity and cumulative scour depth; Step 4: determining the thickness of the anti-scour device and the density of the biomimetic water grass based on the maximum flow rate in the output of the prediction model.

2. The construction control method of the scour protection apparatus for the subsea data center according to claim 1, characterized by, Step 1 specifically comprises: Step 1-1: collecting three types of core data for the anti-scour device for the submarine data center; Step 1-2: preprocessing the collected data.

3. The construction control method of the scour protection apparatus for the subsea data center according to claim 2, characterized by, In step 1-1, the three types of core data include: Real-time monitoring data includes information obtained from water flow sensors connected to the control system regarding the tidal currents in the sea area where the subsea data center pile foundation scour protection device is located. Real-time flow rate at any given moment Furthermore, the data is transmitted to the control system, where it is acquired by the terrain scanner connected to the control system. Real-time flushing depth And the data is transmitted to the control system; Historical data, including the maximum seasonal current velocity in the sea area where the pile foundation scour protection device of the submarine data center is located in the past 5-10 years recorded by the control system , and the average seasonal scour depth in the sea area where the pile foundation scour protection device of the submarine data center is located in the past 5-10 years ; environmental parameters including sea area sediment particle size of the sea area where the scour protection device of the submarine data center pile foundation of the access control system is located , seawater density and the depth of the seawater where the pile foundation is located ; In step 1-1, the terrain scanner acquires the real-time scour depth at the instant The method specifically comprises: S1: establishing a baseline topographic model; S2: performing real-time topographic data acquisition and matching, and performing high-risk sea area and low-risk sea area judgment; S3: calculating real-time scour depth.

4. The construction control method of the scour protection apparatus for the subsea data center according to claim 3, characterized by, S1 specifically comprises: The reference topographic data acquisition and modeling includes data acquisition, elevation calibration and reference modeling, so as to obtain relative elevation data ; S2 specifically comprises: During the operation of the anti-scour device, real-time topographic data is collected by a topographic scanner at a set frequency: Real-time scanning: Start fixed deployment topography scanner, collect relative elevation data of current seabed with same scanning density and elevation calibration method as baseline modeling ; Spatial matching: using the GPS positioning module built into the terrain scanner and the center coordinates of the pile foundation ( , This involves spatially aligning real-time terrain data with a baseline terrain model to ensure that the coordinates of scan points at the same physical location are consistent in both the real-time terrain data and the baseline terrain model. S3 specifically comprises: Based on relative elevation data With relative elevation data two The real-time scouring depth is calculated by the elevation difference method, and the specific formula is as follows: For any scanning point with spatial coordinates (x, y, z) , The formula for calculating the real-time scour depth feature of the scanning point is = - ； If > 0: indicates that the seabed elevation of this scanning point is lower than the reference surface, there is erosion, the value is the erosion depth; If 0: indicates that the seabed elevation of the scanning point is higher than the datum plane, and the scour depth is recorded as 0; The average of the scour depths taken at the time instants is then taken as the average of the scour depths taken at the time instants is then taken as the average of the scour depths taken at the time instants is then taken as 5. The construction control method of the scour protection apparatus for the subsea data center according to claim 4, characterized by, In S2, the method for determining high-risk sea areas and low-risk sea areas is: Firstly, four core indexes affecting seabed scour are selected, and the weights of indexes are determined by AHP, and the four core indexes are , , and , , , and , and the weights of indexes are 0.4, 0.25, 0.2 and 0.15 respectively. The total risk score is calculated according to the four core indicators and the indicator weights The calculation formula is: ； wherein , , and are the normalized values of , , and respectively; If , the sea area where the scour protection device of the submarine data center pile foundation is located is determined as a low-risk sea area. If The sea area where the scour protection device of the submarine data center pile foundation is located is determined as a high-risk sea area.

6. The construction control method of the scour protection apparatus for the subsea data center according to claim 5, characterized by, Step 1-2 specifically comprises: The moving average method is used to remove high-frequency noise from real-time monitoring data, and linear interpolation is used to fill in missing values in historical data.

7. The method of construction control of an anti-scour device for a subsea data center according to claim 6, wherein, Step 2 specifically comprises: Step 2-1: constructing a seasonal current prediction model; Step 2-2: constructing a cumulative scour depth prediction model.

8. The construction control method of the scour protection apparatus for the subsea data center according to claim 7, characterized by, Step 2-1 specifically comprises: Based on the historical seasonal current data of the sea area where the scour prevention device of the pile foundation of the submarine data center is located, the improved time series ARIMA model is used to predict the current velocity in the next 1-7 days , the formula of the improved time series ARIMA model is: ； Where k is the prediction step size, 1≤k≤168 hours. For the set constant term, The set autoregressive coefficients, The set moving average coefficient, Here, p and q are the values ​​determined by the AIC information criteria, representing the initial error term. exist Real-time flow rate at any given moment; Step 2-2 specifically comprises: Predicting the cumulative scour depth for the next 1-3 months The formula for which is: ； wherein m is the prediction month, 1≤m≤3, g is the acceleration of gravity, is the set drag coefficient, H1is the height of the anti-scour plate of the seabed data center pile foundation anti-scour device, and Δt is the time step.

9. The method of construction control of an anti-scour device for a subsea data center according to claim 8, wherein, Step 3 specifically comprises: Step 3-1: Predicted current flow velocity based cumulative scour depth , build scour protection device pose adjustment objective function : ； wherein, is a MIN function, 1, is a set weight coefficient, 1+ = 1, is a set optimal incoming flow velocity of the apron, is a set safe cumulative scour depth, is a historical maximum current velocity of the sea area where the scour protection device for the pile foundation of the submarine data center is located, is a set maximum scour depth allowed by the pile foundation; Step 3-2: Solve the anti-scour device posture adjustment objective function by gradient descent method to obtain the optimal tilt angle and the optimal rotation angle The calculation formula of the gradient descent method is: ； wherein with respectively the current inclination angle and rotation angle of the anti-scouring device at the current moment, the inclination angle and rotation angle of the anti-scouring device being collected by an inclination sensor and a rotary potentiometer connected to the control system respectively and transmitted to the control system, is a set learning rate; Step 3-3: The control system drives the hydraulic rod and the ball bearing to adjust the inclination angle of the anti-scour device to and the rotation angle of the anti-scour device to .

10. The method of construction control of an anti-scour device for a subsea data center according to claim 9, wherein, Step 4 specifically comprises: During the segmented prefabrication stage of the anti-scour device, the ocean current velocity output based on the prediction model was used. Maximum flow rate in Determine the thickness h of the anti-erosion plate of the anti-erosion device and the density of the bionic aquatic plants. : ； wherein, is a MAX function, L is the baffle span, σ is the tensile strength of the baffle material, is a set minimum effective flow rate threshold; K is a set conversion factor.

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