A gravity submerged floating cage force monitoring method and system

Abstract

This application provides a method and system for monitoring the stress on a gravity-type submersible gabion. The method involves collecting the flow velocity of water in each direction around the gabion; performing dynamic force analysis on the water flow around the gabion in all directions based on all flow velocities to obtain the stable fluctuation state of the environmental load acting on the mooring system; simulating the static force of the gabion under extreme displacement conditions using all sub-elements in the mesh model of the gabion to obtain the simulated tension on the anchor chain in the mooring system; and then determining the logarithmic reduction characteristics of the mooring system under wave forces based on the simulated tension and the radiation damping coefficients on the six degrees of freedom of the gabion. Finally, the mooring stress condition of the gravity-type submersible gabion is determined based on the logarithmic reduction characteristics and the stable fluctuation state of the environmental load. This approach can improve the safety of stress monitoring of the gravity-type submersible gabion by constructing the coupling characteristics between the mooring system and the main structure of the gabion.

Description

Technical Field

[0001] The present application relates to the technical field of floating body force analysis, and more specifically, to a gravity-type submerged floating cage force monitoring method and system. Background Art

[0002] The force analysis of floating bodies mainly involves the balance and changes of various forces acting on floating bodies in water, including gravity, buoyancy, resistance, fluid dynamics, etc. The force conditions of floating bodies under different working conditions are usually determined through physical principles and mathematical modeling methods. It is widely used in ship design, marine engineering, floating structures (such as floating bridges, buoys, floating platforms and submerged cages, etc.) and underwater robots to ensure the stability and safety of these equipment and structures in water.

[0003] A gravity submerged floating cage is a floating facility used for aquaculture. In the prior art, the stress conditions of the gravity submerged floating cage are usually simulated by numerical simulation to predict the stress distribution of the gravity submerged floating cage. However, in actual applications, under the combined effects of wind, wave and current loads, the responses of various parts of the cage system present a dynamic coupling characteristic. Since the gravity submerged floating cage is composed of a cage main structure, a fine and soft net and a mooring system, the movement of the cage main structure will be restricted by the mooring system, and the stress-deformation characteristics of the mooring system show obvious nonlinear characteristics. The existing simulation method lacks consideration of the coupling characteristics between the mooring system and the cage main structure, which will cause errors in the force monitoring of the gravity submerged floating cage and affect the safety of the gravity submerged floating cage during operation. Therefore, how to construct the coupling characteristics between the mooring system and the cage main structure to improve the safety of the force monitoring of the gravity submerged floating cage has become a difficult problem faced by the industry. Summary of the invention

[0004] The present application provides a method and system for monitoring the force of a gravity-type submerged floating cage, which can improve the safety of the force monitoring of the gravity-type submerged floating cage by constructing coupling characteristics between a mooring system and a main structure of the cage.

[0005] In a first aspect, the present application provides a method for monitoring the force of a gravity-type submerged floating cage, comprising:

[0006] Start the force monitoring of the gravity submerged floating cage and collect the flow velocity of the water in each direction of the gravity submerged floating cage;

[0007] Determine the wave forces of the gravity submerged floating cage at different orders in each direction according to all the flow velocities, and then perform dynamic force analysis on the water flow in all directions around the gravity submerged floating cage based on all the wave forces, and obtain the stable fluctuation state of the environmental load acting on the mooring system of the gravity submerged floating cage;

[0008] Acquire three-dimensional data of the gravity submerged floating cage, input the three-dimensional data into a computer for modeling, obtain a grid model of the gravity submerged floating cage, and divide the grid model into a plurality of sub-units;

[0009] The static force of the gravity submerged floating cage is simulated under the limit displacement state by all subunits and the wind load around the gravity submerged floating cage at the current moment, so as to obtain the simulated tension on the anchor chain of the mooring system, and then determine the logarithmic reduction characteristics of the mooring system under the action of wave force according to the simulated tension and the radiation damping coefficient of the six degrees of freedom of the gravity submerged floating cage;

[0010] The mooring force on the mooring system of the gravity-type submerged cage is determined based on the logarithmic damping characteristic and the stable fluctuation state of the environmental load.

[0011] In some embodiments, determining the wave forces of different orders of the gravity-type submerged floating cage in each direction according to all flow velocities specifically includes:

[0012] Select a direction around the gravity submerged floating cage as the selected direction;

[0013] Convert all flow velocities in the selected direction into a flow velocity sequence, and decompose the flow velocity sequence into a plurality of water flow sub-sequences;

[0014] Determine the frequency domain information of each water flow subsequence corresponding to the selected direction;

[0015] Determine the first-order wave force, second-order high-frequency wave force and second-order low-frequency wave force in the selected direction according to the frequency domain information of each water flow subsequence;

[0016] The first-order wave force, the second-order high-frequency wave force and the second-order low-frequency wave force are respectively used as wave forces of different orders of the gravity-type submerged floating cage in the selected direction;

[0017] Continue to determine the wave forces of gravity submerged cages at different orders in the remaining directions.

[0018] In some embodiments, decomposing the flow rate sequence into a plurality of water flow sub-sequences specifically comprises:

[0019] Taking the flow rate sequence as an original sequence, determining a flow rate simulation sequence of the original sequence;

[0020] Determine a simulation deviation sequence according to the flow velocity simulation sequence and the original sequence;

[0021] determining a combined deviation of the simulated deviation sequence;

[0022] When the comprehensive deviation is within a preset deviation margin, all flow velocity simulation sequences are respectively regarded as water flow subsequences;

[0023] When the comprehensive deviation is not within the preset deviation margin, the simulated deviation sequence is used as a new original sequence, and the above step of determining the comprehensive deviation based on the original sequence is repeated until the obtained comprehensive deviation is within the preset deviation margin.

[0024] In some embodiments, determining the first-order wave force, the second-order high-frequency wave force, and the second-order low-frequency wave force in the selected direction according to the frequency domain information of each water flow sub-sequence specifically includes:

[0025] Determine the first-order wave sequence, the second-order high-frequency wave sequence and the second-order low-frequency wave sequence according to the frequency domain information of each water flow sub-sequence;

[0026] determining a first-order wave force based on the first-order wave sequence;

[0027] determining a second-order high-frequency wave force according to the second-order high-frequency wave sequence;

[0028] The second-order low-frequency wave force is determined according to the second-order low-frequency wave sequence.

[0029] In some embodiments, based on all wave forces, dynamic force analysis is performed on the water flow in all directions around the gravity submerged floating cage to obtain the stable fluctuation state of the environmental load acting on the mooring system of the gravity submerged floating cage, which specifically includes:

[0030] Select a direction around the gravity submerged floating cage as the selected direction;

[0031] Determine the dynamic offset of the mooring system in the selected direction according to the first-order wave force, the second-order high-frequency wave force and the second-order low-frequency wave force in the selected direction;

[0032] Continue to determine the dynamic offset of the mooring system in the remaining directions around the gravity submerged cage;

[0033] The stable fluctuation state of the environmental load acting on the mooring system of the gravity-fed submerged cage is determined based on all dynamic deflections.

[0034] In some embodiments, the static force simulation of the gravity submerged floating cage under the limit displacement state is performed through all subunits and the wind load around the gravity submerged floating cage at the current moment, and the simulated tension on the anchor chain in the mooring system is obtained specifically including:

[0035] determining a limit excursion state according to the stable fluctuation state;

[0036] Obtain the wind load around the gravity submerged floating cage at the current moment;

[0037] determining a resultant load based on the extreme deflection state and the wind load;

[0038] determining a static deviation of the mooring system in a horizontal direction according to the resultant load and the mass of each subunit;

[0039] A simulated tension on an anchor chain in the mooring system is determined based on the static deviation.

[0040] In some embodiments, it also includes:

[0041] The mooring force is compared with a preset mooring force threshold, and when the mooring force is greater than or equal to the preset mooring force threshold, an alarm signal is sent to a ground monitoring center.

[0042] In a second aspect, the present application provides a gravity-type submerged cage force monitoring system, comprising:

[0043] A collection module is used to collect the flow rate of water in each direction of the gravity-type submerged floating cage after starting the force monitoring of the gravity-type submerged floating cage;

[0044] A processing module is used to determine the wave forces of the gravity submerged floating cage at different orders in each direction according to all the flow velocities, and then perform a dynamic force analysis on the water flow in all directions around the gravity submerged floating cage based on all the wave forces to obtain a stable fluctuation state of the environmental load acting on the mooring system of the gravity submerged floating cage;

[0045] The processing module is also used to obtain three-dimensional data of the gravity submerged floating cage, input the three-dimensional data into a computer for modeling, obtain a grid model of the gravity submerged floating cage, and divide the grid model into a plurality of sub-units;

[0046] The processing module is also used to simulate the static force of the gravity submerged floating cage under the limit displacement state through all subunits and the wind load around the gravity submerged floating cage at the current moment, so as to obtain the simulated tension on the anchor chain of the mooring system, and then determine the logarithmic reduction characteristics of the mooring system under the action of wave force according to the simulated tension and the radiation damping coefficient of the six degrees of freedom of the gravity submerged floating cage;

[0047] An execution module is used to determine the mooring force on the mooring system of the gravity-type submerged floating cage based on the logarithmic reduction characteristics and the stable fluctuation state of the environmental load.

[0048] In a third aspect, the present application provides a computer device, comprising a memory and a processor, wherein the memory stores codes, and the processor is configured to obtain the codes and execute the above-mentioned gravity-type submerged cage force monitoring method.

[0049] In a fourth aspect, the present application provides a computer-readable storage medium storing a computer program, which implements the above-mentioned gravity-type submerged cage force monitoring method when executed by a processor.

[0050] The technical solution provided by the embodiments disclosed in this application has the following beneficial effects:

[0051] In the gravity submerged floating cage force monitoring method and system provided by the present application, the gravity submerged floating cage force monitoring is first started, and the flow velocity of the water flow in each direction of the gravity submerged floating cage is collected; the wave force of the gravity submerged floating cage at different orders in each direction is determined according to all the flow velocities, and then the water flow in each direction around the gravity submerged floating cage is dynamically analyzed based on all the wave forces to obtain the stable fluctuation state of the environmental load acting on the mooring system of the gravity submerged floating cage; the three-dimensional data of the gravity submerged floating cage is obtained, and the three-dimensional data is input into the computer for modeling to obtain the gravity submerged floating cage. A grid model of a gravity submerged floating cage is obtained, and the grid model is divided into multiple sub-units; a static force simulation of the gravity submerged floating cage under an extreme displacement state is performed through all the sub-units and the wind load around the gravity submerged floating cage at the current moment, so as to obtain a simulated tension on the anchor chain in the mooring system, and then the logarithmic reduction characteristic of the mooring system under the action of wave force is determined according to the simulated tension and the radiation damping coefficient on the six degrees of freedom of the gravity submerged floating cage; the mooring force on the mooring system of the gravity submerged floating cage is determined based on the logarithmic reduction characteristic and the stable fluctuation state of the environmental load.

[0052] It can be seen that the present application collects the flow velocity data of the water flow in each direction of the gravity submerged floating cage, and performs dynamic force analysis on the water flow around the gravity submerged floating cage through multi-dimensional flow velocity data, and determines the real-time environmental parameters around the gravity submerged floating cage (i.e., the stable fluctuation state of the environmental load). Subsequently, the grid model of the gravity submerged floating cage is divided into multiple sub-units by using three-dimensional modeling, and the static force of the gravity submerged floating cage under the limit state is simulated in each sub-unit to obtain the inertial force on each degree of freedom under the limit state of the gravity submerged floating cage (i.e., the logarithmic reduction characteristic). Finally, the mooring force condition of the gravity submerged floating cage is monitored through the stable fluctuation state and the inertial force on each degree of freedom. In summary, the above scheme can construct the coupling characteristics between the mooring system and the main structure of the cage to improve the safety of force monitoring of the gravity submerged floating cage. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 is an exemplary flow chart of a method for monitoring force of a gravity-type submerged floating cage according to some embodiments of the present application;

[0054] Figure 2is an exemplary flow chart of determining a fluctuation state according to some embodiments of the present application;

[0055] Figure 3 is an exemplary flow chart of determining simulated tension according to some embodiments of the present application;

[0056] Figure 4 It is a schematic diagram of exemplary hardware and / or software of a gravity-type submerged floating cage force monitoring system according to some embodiments of the present application;

[0057] Figure 5 It is a structural schematic diagram of a computer device for implementing a gravity-type submerged floating cage force monitoring method as shown in some embodiments of the present application. DETAILED DESCRIPTION

[0058] In order to better understand the technical solution of the present application, the technical solution of the present application will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0059] refer to Figure 1 , which is an exemplary flow chart of a gravity-type submerged floating cage force monitoring method according to some embodiments of the present application. The gravity-type submerged floating cage force monitoring method 100 mainly includes the following steps:

[0060] In step 101, the force monitoring of the gravity-type submerged floating cage is started to collect the flow rate of the water flow in each direction of the gravity-type submerged floating cage.

[0061] In specific implementation, flow rate sensors can be installed in the front, back, left and right directions of the gravity-type submerged floating cage. For each direction, the flow rate sensor installed in that direction can collect the flow rate of the water flow in that direction of the gravity-type submerged floating cage according to the preset sampling interval.

[0062] It should be noted that the sampling interval in the present application can be predicted according to actual needs. For example, the sampling interval in the present application can be preset to 0.1 seconds.

[0063] In step 102, the wave forces of different orders of the gravity submerged floating cage in each direction are determined according to all flow velocities, and then the water flow in each direction around the gravity submerged floating cage is subjected to dynamic force analysis based on all wave forces to obtain the stable fluctuation state of the environmental load acting on the mooring system of the gravity submerged floating cage.

[0064] In some embodiments, determining the wave forces of different orders of gravity submerged floating cages in each direction according to all flow velocities can be achieved by the following steps:

[0065] Select a direction around the gravity submerged floating cage as the selected direction;

[0066] Convert all flow velocities in the selected direction into a flow velocity sequence, and decompose the flow velocity sequence into a plurality of water flow sub-sequences;

[0067] Determine the frequency domain information of each water flow subsequence corresponding to the selected direction;

[0068] Determine the first-order wave force, second-order high-frequency wave force and second-order low-frequency wave force in the selected direction according to the frequency domain information of each water flow subsequence;

[0069] The first-order wave force, the second-order high-frequency wave force and the second-order low-frequency wave force are respectively used as wave forces of different orders of the gravity-type submerged floating cage in the selected direction;

[0070] Continue to determine the wave forces of gravity submerged cages at different orders in the remaining directions.

[0071] In specific implementation, converting all flow velocities in the selected direction into a flow velocity sequence can be achieved in the following manner, namely: arranging all flow velocities in the selected direction in the order of sampling, and using the obtained sequence as the flow velocity sequence.

[0072] In some embodiments, decomposing the flow rate sequence into multiple water flow sub-sequences can be achieved by using the following steps:

[0073] Taking the flow rate sequence as an original sequence, determining a flow rate simulation sequence of the original sequence;

[0074] Determine a simulation deviation sequence according to the flow velocity simulation sequence and the original sequence;

[0075] determining a combined deviation of the simulated deviation sequence;

[0076] When the comprehensive deviation is within a preset deviation margin, all flow velocity simulation sequences are respectively regarded as water flow subsequences;

[0077] When the comprehensive deviation is not within the preset deviation margin, the simulated deviation sequence is used as a new original sequence, and the above step of determining the comprehensive deviation based on the original sequence is repeated until the obtained comprehensive deviation is within the preset deviation margin.

[0078] In specific implementation, determining the flow velocity simulation sequence of the original sequence can be achieved in the following manner, namely: first, extracting all local maxima from the original sequence, and fitting all local maxima into a curve by Lagrange interpolation method, then extracting all local minima from the original sequence, and fitting all local minima into a curve by Lagrange interpolation method, then adding the two curves and dividing them by two, and taking multiple data on the obtained curve according to a preset sampling interval, arranging all the obtained data in the order of sampling, and finally, using the obtained sequence as a flow velocity simulation sequence, wherein the sampling interval is the same as the sampling interval when collecting the flow velocity.

[0079] It should be noted that the flow velocity simulation sequence in the present application is a sequence that reflects the flow velocity changes of the water flow around the gravity-type submerged floating cage.

[0080] In addition, it should be noted that the simulation deviation sequence in the present application is a sequence that represents the degree of deviation between the flow velocity change simulated by the corresponding flow velocity simulation sequence and the actual situation. As a preferred embodiment, the present application determines the simulation deviation sequence based on the flow velocity simulation sequence and the original sequence in the following manner, namely: the flow velocity simulation sequence can be subtracted from the original sequence, and the resulting sequence is used as the simulation deviation sequence.

[0081] In specific implementation, the comprehensive deviation of the simulated deviation sequence may be determined in the following manner, that is, the average value of all simulated deviation values ​​in the simulated deviation sequence may be used as the comprehensive deviation of the simulated deviation sequence.

[0082] It should be noted that the comprehensive deviation in this application is a parameter that indicates the degree of deviation between the flow velocity change simulated by the corresponding flow velocity simulation sequence and the actual situation. The larger the comprehensive deviation, the greater the deviation between the flow velocity change simulated by the corresponding flow velocity simulation sequence and the actual situation. The smaller the comprehensive deviation, the smaller the deviation between the flow velocity change simulated by the corresponding flow velocity simulation sequence and the actual situation.

[0083] In addition, it should be noted that the value range of the deviation margin is 0.5 to 0.7. Those skilled in the art know that the deviation margin can be selected according to actual needs, which falls within the protection scope of the present invention and will not be described in detail here.

[0084] In specific implementation, determining the frequency domain information of each water flow sub-sequence corresponding to the selected direction can be achieved in the following manner, namely: for each water flow sub-sequence corresponding to the selected direction, the water flow sub-sequence is converted into frequency domain data through Fourier transform in the prior art, and the frequency domain data is used as the frequency domain information of the water flow sub-sequence, thereby obtaining the frequency domain information of each water flow sub-sequence corresponding to the selected direction.

[0085] It should be noted that the frequency domain information in this application refers to the frequency domain data of the water flow subsequence.

[0086] In some embodiments, determining the first-order wave force, the second-order high-frequency wave force, and the second-order low-frequency wave force in the selected direction according to the frequency domain information of each water flow sub-sequence can be achieved by the following steps:

[0087] Determine the first-order wave sequence, the second-order high-frequency wave sequence and the second-order low-frequency wave sequence according to the frequency domain information of each water flow sub-sequence;

[0088] determining a first-order wave force based on the first-order wave sequence;

[0089] determining a second-order high-frequency wave force according to the second-order high-frequency wave sequence;

[0090] The second-order low-frequency wave force is determined according to the second-order low-frequency wave sequence.

[0091] In specific implementation, determining the first-order wave sequence, the second-order high-frequency wave sequence and the second-order low-frequency wave sequence according to the frequency domain information of each water flow sub-sequence can be achieved in the following manner, namely: first, taking the frequencies corresponding to the maximum values ​​in each frequency domain information as the flow velocity frequencies of the corresponding water flow sub-sequences, and then, preset a frequency threshold, and finally, taking the water flow sub-sequence with the smallest flow velocity frequency as the first-order wave sequence, and in the remaining water flow sub-sequences, taking the sum of all water flow sub-sequences with flow velocity frequencies less than or equal to the frequency threshold as the second-order low-frequency wave sequence, and taking the sum of all water flow sub-sequences with flow velocity frequencies greater than the frequency threshold as the second-order high-frequency wave sequence, wherein the frequency threshold can be preset according to actual needs, for example, in the present application, the frequency threshold can be preset to 10Hz.

[0092] It should be noted that the first-order wave sequence in the present application is a flow velocity sequence of water flow that conforms to the linear wave theory, and the first-order wave sequence is usually linear.

[0093] It should be noted that the second-order high-frequency wave sequence in the present application is a velocity sequence of water flow with high-frequency transformation generated by the interaction of different waves, and the second-order high-frequency wave sequence is usually nonlinear.

[0094] It should be noted that the second-order low-frequency wave sequence in the present application is a velocity sequence of water flow with low frequency transformation generated by the interaction of different waves, and the second-order low-frequency wave sequence is usually nonlinear.

[0095] In specific implementation, determining the first-order wave force according to the first-order wave sequence can be achieved in the following manner, namely: first, multiplying the frequency corresponding to the maximum value in the frequency domain information of the first-order wave sequence by twice the pi, and then taking the sine value of the obtained value as the first-order wave force.

[0096] It should be noted that the first-order wave force in the present application is a parameter that represents the pressure of the water flow that conforms to the linear wave theory acting vertically on the surface of the gravity submerged buoyant cage. The greater the first-order wave force, the greater the pressure of the water flow that conforms to the linear wave theory acting vertically on the surface of the gravity submerged buoyant cage. The smaller the first-order wave force, the smaller the pressure of the water flow that conforms to the linear wave theory acting vertically on the surface of the gravity submerged buoyant cage.

[0097] In specific implementation, determining the second-order high-frequency wave force according to the second-order high-frequency wave sequence can be achieved in the following manner, namely: first, converting the second-order high-frequency wave sequence to the frequency domain through the discrete Fourier transform in the prior art, multiplying the frequency corresponding to the maximum value in the obtained frequency domain sequence by twice the pi, and calculating the sine value of the obtained value, then multiplying the frequency corresponding to the maximum value in the obtained frequency domain sequence by four times the pi, and calculating the sine value of the obtained value, and then adding the two obtained sine values, and using the obtained value as the second-order high-frequency wave force.

[0098] It should be noted that the second-order high-frequency wave force in the present application is a parameter that represents the pressure of the water flow generated by the high-frequency transformation of different waves acting vertically on the surface of the gravity-type submerged floating cage. The greater the second-order high-frequency wave force, the greater the pressure of the water flow generated by the high-frequency transformation of different waves acting vertically on the surface of the gravity-type submerged floating cage. The smaller the second-order high-frequency wave force, the smaller the pressure of the water flow generated by the high-frequency transformation of different waves acting vertically on the surface of the gravity-type submerged floating cage.

[0099] In specific implementation, determining the second-order low-frequency wave force according to the second-order low-frequency wave sequence can be achieved in the following manner, namely: first, converting the second-order low-frequency wave sequence to the frequency domain through the discrete Fourier transform in the prior art, multiplying the frequency corresponding to the maximum value in the obtained frequency domain sequence by twice the pi, and calculating the sine value of the obtained value, then multiplying the frequency corresponding to the maximum value in the obtained frequency domain sequence by four times the pi, and calculating the sine value of the obtained value, and then adding the two obtained sine values, and using the obtained value as the second-order low-frequency wave force.

[0100] It should be noted that the second-order low-frequency wave force in the present application is a parameter of the pressure magnitude of the water flow generated by the interaction of different waves with low frequencies acting vertically on the surface of the gravity submerged floating cage. The greater the second-order low-frequency wave force, the greater the pressure of the water flow generated by the interaction of different waves with low frequencies acting vertically on the surface of the gravity submerged floating cage. The smaller the second-order low-frequency wave force, the smaller the pressure of the water flow generated by the interaction of different waves with low frequencies acting vertically on the surface of the gravity submerged floating cage.

[0101] In some embodiments, reference Figure 2, which is an exemplary flow chart of determining a stable fluctuation state according to some embodiments of the present application. In the present application, a dynamic force analysis is performed on the water flow in all directions around the gravity submerged floating cage based on all wave forces, and the stable fluctuation state of the environmental load acting on the mooring system of the gravity submerged floating cage can be achieved by the following steps:

[0102] In step 1021, a direction around the gravity submerged floating cage is selected as a selected direction;

[0103] In step 1022, a dynamic offset of the mooring system in the selected direction is determined according to the first-order wave force, the second-order high-frequency wave force and the second-order low-frequency wave force in the selected direction;

[0104] In step 1023, continue to determine the dynamic offset of the mooring system in the remaining directions around the gravity submerged cage;

[0105] In step 1024, a stable fluctuation state of the environmental load acting on the mooring system of the gravity-fed submerged cage is determined based on all dynamic deflections.

[0106] In specific implementation, the dynamic offset of the mooring system in the selected direction is determined according to the first-order wave force, the second-order high-frequency wave force and the second-order low-frequency wave force in the selected direction. The following method is used, namely: first, the wave height around the gravity submerged floating cage is obtained, half of the first-order wave force is multiplied by the wave height, and the product is used as the first-order displacement; then, the second-order high-frequency wave force is divided by sixteen and multiplied by the square of the wave height, and the value obtained is used as the second-order high-frequency displacement; then, the second-order low-frequency wave force is divided by sixteen and multiplied by the square of the wave height, and the value obtained is used as the second-order low-frequency displacement; finally, the sum of the first-order displacement, the second-order high-frequency displacement and the second-order low-frequency displacement is used as the dynamic offset in the selected direction, wherein the wave height around the gravity submerged floating cage can be collected by the wave buoy around the gravity submerged floating cage.

[0107] It should be noted that the dynamic offset in the present application is a parameter indicating the magnitude of the horizontal displacement of the mooring system of the gravity submerged floating cage when it is subjected to the force of water flow. The larger the dynamic offset, the greater the horizontal displacement of the mooring system of the gravity submerged floating cage when it is subjected to the force of water flow. The smaller the dynamic offset, the smaller the horizontal displacement of the mooring system of the gravity submerged floating cage when it is subjected to the force of water flow.

[0108] In specific implementation, the stable fluctuation state of the environmental load acting on the mooring system of the gravity submerged floating cage can be determined according to all dynamic offsets. The following method is adopted, namely: first, a plane coordinate system is established, the anchoring point of the gravity submerged floating cage is taken as the coordinate origin, the front direction of the gravity submerged floating cage is taken as the positive direction of the y-axis, and the right direction of the gravity submerged floating cage is taken as the positive direction of the x-axis. Subsequently, the dynamic offset in the front direction is subtracted from the dynamic offset in the rear direction, and the obtained value is divided by two, and the obtained value is used as the coordinate of the y-axis. Subsequently, the dynamic offset in the right direction is subtracted from the dynamic offset in the left direction, and the obtained value is divided by two, and the obtained value is used as the coordinate of the x-axis, and the obtained coordinate point is used as the offset point at the current moment. Secondly, the offset points at the remaining moments are determined by the same steps, and all the offset points are plotted into a curve in chronological order, and the curve is used as the state curve of the stable fluctuation state of the environmental load acting on the mooring system of the gravity submerged floating cage.

[0109] It should be noted that the stable fluctuation state in the present application refers to the stable fluctuation of the environmental load acting on the mooring system over time, and the stable fluctuation can be described by a curve of the environmental load on the mooring system over time.

[0110] In step 103, three-dimensional data of the gravity submerged floating cage is obtained, and the three-dimensional data is input into a computer for modeling to obtain a grid model of the gravity submerged floating cage, and the grid model is divided into a plurality of sub-units.

[0111] In specific implementation, the three-dimensional data of the gravity-type submerged floating cage can be obtained in the following manner, that is, the three-dimensional data of the gravity-type submerged floating cage can be obtained from the technical manual of the gravity-type submerged floating cage.

[0112] In a specific implementation, the three-dimensional data is input into a computer for modeling, and the grid model of the gravity submerged floating cage can be obtained in the following manner, namely: the three-dimensional data is input into the computer's automatic computer-aided design (Automatic Computer-Aided Design, AutoCAD) software, and a three-dimensional model is generated by the AutoCAD software, and finally, the obtained three-dimensional model is used as the grid model of the gravity submerged floating cage.

[0113] In a specific implementation, the grid model can be divided into multiple sub-units in the following manner, that is, the grid model can be divided into multiple sub-units according to the grid provided in the AutoCAD software, wherein a part of the grid model contained in each grid is a sub-unit.

[0114] In step 104, a static force simulation of the gravity submerged floating cage under an extreme displacement state is performed through all subunits and the wind load around the gravity submerged floating cage at the current moment to obtain a simulated tension on the anchor chain in the mooring system, and then the logarithmic reduction characteristics of the mooring system under the action of wave force are determined based on the simulated tension and the radiation damping coefficient on the six degrees of freedom of the gravity submerged floating cage.

[0115] In some embodiments, reference Figure 3 , which is an exemplary flow chart of determining simulated tension according to some embodiments of the present application. In the present application, the static force simulation of the gravity submerged floating cage under the limit displacement state is performed through all subunits and the wind load around the gravity submerged floating cage at the current moment, and the simulated tension on the anchor chain in the mooring system can be obtained by the following steps:

[0116] In step 1041, a limit deviation state is determined according to the stable fluctuation state;

[0117] In step 1042, the wind load around the gravity submerged floating cage at the current moment is obtained;

[0118] In step 1043, a composite load is determined according to the extreme deflection state and the wind load;

[0119] In step 1044, a static deviation of the mooring system in a horizontal direction is determined according to the resultant load and the mass of each subunit;

[0120] In step 1045, a simulated tension on an anchor chain in the mooring system is determined according to the static deviation.

[0121] In specific implementation, determining the limit offset state according to the stable fluctuation state can be achieved in the following manner: first, taking the point farthest from the origin in the stable fluctuation state as the limit offset point, and finally, taking the vector connecting the limit offset point and the origin as the characterization vector of the limit offset state.

[0122] It should be noted that the extreme deviation state in the present application refers to the state when the gravity-type submerged floating cage deviates from the mooring point to the maximum.

[0123] In specific implementation, the wind force coefficient and empirical formula given in the Oil Companies International Marine Forum (OCIMF) can be referred to to obtain the wind load around the gravity submerged floating cage at the current moment.

[0124] It should be noted that the composite load in the present application refers to the composite amount of all external loads acting on the gravity-type submerged floating cage. As a preferred embodiment, the composite load determined according to the extreme offset state and the wind load in the present application can be achieved in the following way, namely: the vector obtained by adding the characterization vectors of the wind load and the extreme offset state can be used as the composite load.

[0125] In specific implementation, determining the static deviation of the mooring system in the horizontal direction according to the composite load and the mass of each subunit can be achieved in the following manner, namely: first, obtaining the mass of the gravity-type submerged floating cage in each subunit, and arranging all the masses into a matrix according to the arrangement of the subunits; then, expanding the length of the composite load according to the size of the matrix, and multiplying the inverse matrix of the matrix by the expanded composite load; finally, using the obtained vector as the static deviation of the mooring system in the horizontal direction, wherein expanding the length of the composite load according to the size of the matrix means filling the composite load with 0 so that the length of the composite load matches the size of the matrix to facilitate matrix multiplication calculation.

[0126] It should be noted that the static deviation in this application is a vector that represents the degree of mooring system deviation when the gravity-type submerged floating cage is displaced the farthest in the horizontal direction. The larger the magnitude of the vector, the more the mooring system deflects, and the smaller the magnitude of the vector, the less the mooring system deflects.

[0127] In specific implementation, determining the simulated tension on the anchor chain in the mooring system according to the static deviation can be achieved in the following manner, namely: first, multiplying the static deviation by the transpose of the static deviation, then calculating the determinant of the obtained matrix, and finally, using the determinant as the simulated tension on the anchor chain in the mooring system.

[0128] It should be noted that the simulated tension in the present application refers to a parameter that represents the tension on the anchor chain in the mooring system when the gravity submersible cage is just in the extreme offset state (that is, the anchor chain is just straightened and there is no additional deformation). The greater the simulated tension, the greater the tension on the anchor chain when the gravity submersible cage is just in the extreme offset state; the smaller the simulated tension, the smaller the tension on the anchor chain when the gravity submersible cage is just in the extreme offset state.

[0129] In some embodiments, determining the logarithmic damping characteristics of the mooring system under the action of wave force according to the radiation damping coefficients of the six degrees of freedom of the simulated tension and gravity submerged floating cage can be achieved by the following steps:

[0130] Obtain the radiation damping coefficients of the six degrees of freedom of the gravity submerged cage;

[0131] Convert all radiation damping coefficients into damping matrices;

[0132] Obtain the stiffness matrix of the gravity submerged cage;

[0133] The logarithmic reduction characteristics of the mooring system under the action of wave force are determined according to the damping matrix, the stiffness matrix of the gravity-type submerged floating cage and the simulated tension.

[0134] In specific implementation, the radiation damping coefficient of the gravity submerged floating cage in six degrees of freedom can be obtained in the following manner, namely: first, the grid model of the gravity submerged floating cage is input into the Ansys AQWA software, and the radiation damping coefficient of the gravity submerged floating cage in six degrees of freedom is obtained by the boundary element method in the prior art. In other embodiments, the radiation damping coefficient of the gravity submerged floating cage in six degrees of freedom can also be obtained by other prior arts, which is not limited here.

[0135] In addition, during specific implementation, the stiffness matrix of the gravity-type submerged floating cage can be obtained from the product manual of the gravity-type submerged floating cage.

[0136] Furthermore, in the specific implementation, all radiation damping coefficients can be converted into a damping matrix in the following manner, namely: the six radiation damping coefficients are arranged on the diagonal of a 6x6 matrix in the order of translation in the x direction, translation in the y direction, translation in the z direction, rotation around the x axis, rotation around the y axis, and rotation around the z axis, and the remaining elements in the matrix are filled with 0, and finally the obtained matrix is ​​used as the damping matrix.

[0137] The logarithmic reduction characteristic of the mooring system under the action of wave force can be determined based on the damping matrix, the stiffness matrix of the gravity submerged floating cage and the simulated tension in the following manner, namely: first, the inverse matrix of the stiffness matrix is ​​calculated, then the inverse matrix is ​​multiplied by the damping matrix, then the obtained matrix is ​​multiplied by the simulated tension, and finally, the obtained matrix is ​​used as the logarithmic reduction characteristic of the mooring system under the action of wave force.

[0138] It should be noted that the logarithmic attenuation feature in the present application represents the attenuation degree between two consecutive adjacent peak amplitudes in each degree of freedom of the gravity-type submerged floating cage during free vibration. The parameters in the logarithmic attenuation feature represent the attenuation degree between two consecutive adjacent peak amplitudes in the corresponding degree of freedom. The larger the parameter is, the greater the attenuation between two consecutive adjacent peak amplitudes in the corresponding degree of freedom. The smaller the parameter is, the less the attenuation between two consecutive adjacent peak amplitudes in the corresponding degree of freedom.

[0139] In step 105, the mooring force on the mooring system of the gravity-type submerged cage is determined based on the logarithmic damping characteristic and the stable fluctuation state of the environmental load.

[0140] In some embodiments, determining the mooring force of the mooring system of the gravity-type submerged floating cage based on the logarithmic reduction characteristics and the stable fluctuation state of the environmental load can be achieved by the following steps:

[0141] Determining the displacement response of the gravity submerged floating cage according to the logarithmic reduction characteristic;

[0142] Determine an amplitude response operator of the force on the mooring system according to the displacement response and the stable fluctuation state;

[0143] The mooring force on the mooring system of the gravity-type submerged floating cage is determined according to the amplitude response operator.

[0144] In specific implementation, determining the displacement response of the gravity submerged floating cage according to the logarithmic reduction feature can be achieved in the following manner, namely: first, inverting the matrix corresponding to the logarithmic reduction feature, then calculating the determinant of the inverse matrix, and using the determinant as the amplitude of the displacement response, then averaging the frequencies with the largest amplitude in the frequency domain of the second-order high-frequency wave force in each direction, and using the average value as the frequency of the displacement response, and finally, using the constructed function as the displacement response of the gravity submerged floating cage.

[0145] It should be noted that the displacement response in the present application is a function representing the change in the horizontal displacement of the gravity-type submerged floating cage.

[0146] In a specific implementation, the amplitude response operator for determining the force on the mooring system according to the displacement response and the stable fluctuation state can be implemented in the following manner, namely: first, the displacement response is divided by the stable fluctuation state, and the obtained function is used as the amplitude response function; then, the amplitude response function is converted into the frequency domain by Fourier transformation in the prior art, and the frequency corresponding to the maximum amplitude in the frequency domain is used as the selected frequency; then, the frequency domain is input as an independent variable into the amplitude response function; finally, the output value of the amplitude response function is used as the amplitude response operator of the force on the mooring system.

[0147] It should be noted that the amplitude response operator in the present application is a parameter that measures the degree of response of the displacement of the gravity-type submerged floating cage to the external load at the current wave frequency. The larger the amplitude response operator, the heavier the response of the displacement of the gravity-type submerged floating cage to the external load at the current wave frequency. The smaller the amplitude response operator, the lighter the response of the displacement of the gravity-type submerged floating cage to the external load at the current wave frequency.

[0148] In specific implementation, the mooring force on the mooring system of the gravity submerged floating cage can be determined according to the amplitude response operator in the following manner, namely: first, the stable fluctuation state of the environmental load is converted to the frequency domain through Fourier transform and integrated, then, the obtained value is multiplied by the amplitude response operator, and finally, the obtained value is used as the mooring force on the mooring system of the gravity submerged floating cage.

[0149] In some embodiments, after determining the mooring force on the mooring system of the gravity-type submerged cage based on the logarithmic damping characteristics and the stable fluctuation state of the environmental load, the following processing may be performed, namely:

[0150] The mooring force is compared with a preset mooring force threshold, and when the mooring force is greater than or equal to the preset mooring force threshold, an alarm signal is sent to a ground monitoring center.

[0151] It should be noted that the mooring force threshold in the present application can be preset according to actual needs. For example, in the present application, a preset tension test can be performed on the mooring system of the gravity-type submersible floating cage, and 2 / 3 of the tension applied when the mooring system is severely deformed can be used as the mooring force threshold. It will not be repeated here.

[0152] In addition, in another aspect of the present application, in some embodiments, the present application provides a gravity-type submerged cage force monitoring system, referring to Figure 4 , which is a schematic diagram of exemplary hardware and / or software of a gravity-type submerged cage force monitoring system according to some embodiments of the present application. The gravity-type submerged cage force monitoring system 400 includes: a collection module 401, a processing module 402 and an execution module 403, which are described as follows:

[0153] The collection module 401 in the present application is mainly used to collect the flow rate of water in each direction of the gravity submerged floating cage after starting the force monitoring of the gravity submerged floating cage;

[0154] Processing module 402, in this application, the processing module 402 is mainly used to determine the wave force of the gravity submerged floating cage at different orders in each direction according to all flow velocities, and then perform dynamic force analysis on the water flow in all directions around the gravity submerged floating cage based on all wave forces, and obtain the stable fluctuation state of the environmental load acting on the mooring system of the gravity submerged floating cage;

[0155] It should be noted that the processing module 402 in the present application is also used to obtain three-dimensional data of the gravity submerged floating cage, input the three-dimensional data into a computer for modeling, obtain a grid model of the gravity submerged floating cage, and divide the grid model into multiple sub-units;

[0156] It should be noted that the processing module 402 in the present application is also used to perform static force simulation on the gravity submerged floating cage under the limit displacement state through all subunits and the wind load around the gravity submerged floating cage at the current moment, to obtain the simulated tension on the anchor chain in the mooring system, and then determine the logarithmic reduction characteristics of the mooring system under the action of wave force according to the simulated tension and the radiation damping coefficient on the six degrees of freedom of the gravity submerged floating cage;

[0157] Execution module 403, in the present application, execution module 403 is mainly used to determine the mooring force on the mooring system of the gravity submerged cage based on the logarithmic reduction characteristics and the stable fluctuation state of the environmental load.

[0158] In addition, the present application also provides a computer device, which includes a memory and a processor, wherein the memory stores codes, and the processor is configured to obtain the codes and execute the above-mentioned gravity-type submerged cage force monitoring system.

[0159] In some embodiments, reference Figure 5 , which is a schematic diagram of the structure of a computer device for implementing a gravity-type submerged floating cage force monitoring system according to some embodiments of the present application. The gravity-type submerged floating cage force monitoring system in the above embodiment can be Figure 5 The computer device 500 shown in the figure is implemented, and the computer device 500 includes at least one processor 501, a communication bus 502, a memory 503 and at least one communication interface 504.

[0160] The processor 501 may be a general-purpose central processing unit (CPU) or an application-specific integrated circuit (ASIC).

[0161] The communication bus 502 may be used to transmit information between the above-mentioned components.

[0162] The memory 503 may be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, an optical disc storage (including a compressed optical disc, a laser disc, an optical disc, a digital versatile disc, a Blu-ray disc, etc.), a magnetic disk or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer, but is not limited thereto. The memory 503 may exist independently and be connected to the processor 501 via the communication bus 502. The memory 503 may also be integrated with the processor 501.

[0163] The memory 503 is used to store the program code for executing the solution of the present application, and the execution is controlled by the processor 501. The processor 501 is used to execute the program code stored in the memory 503. The program code may include one or more software modules. The intelligent fire alarm control method (determination of the temperature deviation signal) in the above embodiment can be implemented by the processor 501 and one or more software modules in the program code in the memory 503.

[0164] The communication interface 504 uses any transceiver or other device for communicating with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.

[0165] In a specific implementation, as an embodiment, a computer device may include multiple processors, each of which may be a single-CPU processor or a multi-CPU processor. The processor here may refer to one or more devices, circuits, and / or processing cores for processing data (e.g., computer program instructions).

[0166] The above-mentioned computer device may be a general-purpose computer device or a special-purpose computer device. In a specific implementation, the computer device may be a desktop computer, a portable computer, a network server, a personal digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device or an embedded device. The embodiment of the present application does not limit the type of computer device.

[0167] In addition, the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the above-mentioned gravity-type submerged cage force monitoring system is implemented.

[0168] In summary, in the gravity submerged floating cage force monitoring method and system provided by the present application, the gravity submerged floating cage force monitoring is first started to collect the flow rate of the water flow in each direction of the gravity submerged floating cage; the wave force of the gravity submerged floating cage at different orders in each direction is determined according to all the flow rates, and then the water flow in each direction around the gravity submerged floating cage is dynamically analyzed based on all the wave forces to obtain the stable fluctuation state of the environmental load acting on the mooring system of the gravity submerged floating cage; the three-dimensional data of the gravity submerged floating cage is obtained, and the three-dimensional data is input into the computer for modeling to obtain the gravity submerged floating cage. A grid model of a gravity-type submerged floating cage is prepared, and the grid model is divided into multiple sub-units; a static force simulation of the gravity-type submerged floating cage under an extreme offset state is performed through all the sub-units and the wind load around the gravity-type submerged floating cage at the current moment, so as to obtain a simulated tension on the anchor chain in the mooring system, and then the logarithmic reduction characteristic of the mooring system under the action of wave force is determined according to the simulated tension and the radiation damping coefficient on the six degrees of freedom of the gravity-type submerged floating cage; the mooring force on the mooring system of the gravity-type submerged floating cage is determined based on the logarithmic reduction characteristic and the stable fluctuation state of the environmental load.

[0169] It can be seen that the present application collects the flow velocity data of the water flow in each direction of the gravity submerged floating cage, and performs dynamic force analysis on the water flow around the gravity submerged floating cage through multi-dimensional flow velocity data, and determines the real-time environmental parameters around the gravity submerged floating cage (i.e., the stable fluctuation state of the environmental load). Subsequently, the grid model of the gravity submerged floating cage is divided into multiple sub-units by using three-dimensional modeling, and the static force of the gravity submerged floating cage under the limit state is simulated in each sub-unit to obtain the inertial force on each degree of freedom under the limit state of the gravity submerged floating cage (i.e., the logarithmic reduction characteristic). Finally, the mooring force condition of the gravity submerged floating cage is monitored through the stable fluctuation state and the inertial force on each degree of freedom. In summary, the above scheme can construct the coupling characteristics between the mooring system and the main structure of the cage to improve the safety of force monitoring of the gravity submerged floating cage.

[0170] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0171] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A gravity submerged cage force monitoring method, characterized in that: include: Start the force monitoring of the gravity submerged floating cage and collect the flow velocity of the water in each direction of the gravity submerged floating cage; Determine the wave forces of the gravity submerged floating cage at different orders in each direction according to all the flow velocities, and then perform dynamic force analysis on the water flow in all directions around the gravity submerged floating cage based on all the wave forces, and obtain the stable fluctuation state of the environmental load acting on the mooring system of the gravity submerged floating cage; Acquire three-dimensional data of the gravity submerged floating cage, input the three-dimensional data into a computer for modeling, obtain a grid model of the gravity submerged floating cage, and divide the grid model into a plurality of sub-units; The static force of the gravity submerged floating cage is simulated under the limit displacement state by all subunits and the wind load around the gravity submerged floating cage at the current moment, so as to obtain the simulated tension on the anchor chain of the mooring system, and then determine the logarithmic reduction characteristics of the mooring system under the action of wave force according to the simulated tension and the radiation damping coefficient of the six degrees of freedom of the gravity submerged floating cage; Determining the mooring force of the mooring system of the gravity-type submerged floating cage based on the logarithmic reduction characteristics and the stable fluctuation state of the environmental load; Among them, the static force simulation of the gravity submerged floating cage under the limit displacement state is performed through all subunits and the wind load around the gravity submerged floating cage at the current moment, and the simulated tension on the anchor chain in the mooring system is obtained specifically including: determining a limit excursion state according to the stable fluctuation state; Obtain the wind load around the gravity submerged floating cage at the current moment; determining a resultant load based on the extreme deflection state and the wind load; determining a static deviation of the mooring system in a horizontal direction according to the resultant load and the mass of each subunit; determining a simulated tension on an anchor chain in the mooring system according to the static deviation; Wherein, determining the logarithmic reduction characteristics of the mooring system under the action of wave force according to the radiation damping coefficients on the six degrees of freedom of the simulated tension and gravity submerged floating cage specifically includes: Obtain the radiation damping coefficients of the six degrees of freedom of the gravity submerged cage; Convert all radiation damping coefficients into damping matrices; Obtain the stiffness matrix of the gravity submerged cage; Determining the logarithmic reduction characteristics of the mooring system under the action of wave force according to the damping matrix, the stiffness matrix of the gravity submerged floating cage and the simulated tension; Wherein, determining the mooring force of the mooring system of the gravity submerged floating cage based on the logarithmic reduction characteristics and the stable fluctuation state of the environmental load specifically includes: Determining the displacement response of the gravity submerged floating cage according to the logarithmic reduction characteristic; Determine an amplitude response operator of the force on the mooring system according to the displacement response and the stable fluctuation state; The mooring force on the mooring system of the gravity-type submerged floating cage is determined according to the amplitude response operator.

2. The method according to claim 1, characterized in that According to all flow rates, the wave forces of gravity submerged cages at different orders in each direction are specifically determined as follows: Select a direction around the gravity submerged floating cage as the selected direction; Convert all flow velocities in the selected direction into a flow velocity sequence, and decompose the flow velocity sequence into a plurality of water flow sub-sequences; Determine the frequency domain information of each water flow subsequence corresponding to the selected direction; Determine the first-order wave force, second-order high-frequency wave force and second-order low-frequency wave force in the selected direction according to the frequency domain information of each water flow subsequence; The first-order wave force, the second-order high-frequency wave force and the second-order low-frequency wave force are respectively used as wave forces of different orders of the gravity-type submerged floating cage in the selected direction; Continue to determine the wave forces of gravity submerged cages at different orders in the remaining directions.

3. The method according to claim 2, characterized in that Decomposing the flow velocity sequence into multiple water flow subsequences specifically includes: Taking the flow rate sequence as an original sequence, determining a flow rate simulation sequence of the original sequence; Determine a simulation deviation sequence according to the flow velocity simulation sequence and the original sequence; determining a combined deviation of the simulated deviation sequence; When the comprehensive deviation is within a preset deviation margin, all flow velocity simulation sequences are respectively regarded as water flow subsequences; When the comprehensive deviation is not within the preset deviation margin, the simulated deviation sequence is used as a new original sequence, and the above step of determining the comprehensive deviation based on the original sequence is repeated until the obtained comprehensive deviation is within the preset deviation margin.

4. The method according to claim 2, characterized in that The first-order wave force, second-order high-frequency wave force and second-order low-frequency wave force in the selected direction are determined according to the frequency domain information of each water flow sub-sequence. Specifically, they include: Determine the first-order wave sequence, the second-order high-frequency wave sequence and the second-order low-frequency wave sequence according to the frequency domain information of each water flow sub-sequence; determining a first-order wave force based on the first-order wave sequence; determining a second-order high-frequency wave force according to the second-order high-frequency wave sequence; The second-order low-frequency wave force is determined according to the second-order low-frequency wave sequence.

5. The method according to claim 1, characterized in that Based on all wave forces, the dynamic force analysis of the water flow in all directions around the gravity submerged floating cage is carried out, and the stable fluctuation state of the environmental load acting on the mooring system of the gravity submerged floating cage is obtained, which specifically includes: Select a direction around the gravity submerged floating cage as the selected direction; Determine the dynamic offset of the mooring system in the selected direction according to the first-order wave force, the second-order high-frequency wave force and the second-order low-frequency wave force in the selected direction; Continue to determine the dynamic offset of the mooring system in the remaining directions around the gravity submerged cage; The stable fluctuation state of the environmental load acting on the mooring system of the gravity-fed submerged cage is determined based on all dynamic deflections.

6. The method according to claim 1, characterized in that Also includes: The mooring force is compared with a preset mooring force threshold, and when the mooring force is greater than or equal to the preset mooring force threshold, an alarm signal is sent to a ground monitoring center.

7. A gravity-type submerged floating cage force monitoring system, which adopts the method described in any one of claims 1 to 6 to perform gravity-type submerged floating cage force monitoring, characterized in that: The gravity-type submerged cage force monitoring system comprises: A collection module is used to collect the flow rate of water in each direction of the gravity-type submerged floating cage after starting the force monitoring of the gravity-type submerged floating cage; A processing module is used to determine the wave forces of the gravity submerged floating cage at different orders in each direction according to all the flow velocities, and then perform a dynamic force analysis on the water flow in all directions around the gravity submerged floating cage based on all the wave forces to obtain a stable fluctuation state of the environmental load acting on the mooring system of the gravity submerged floating cage; The processing module is also used to obtain three-dimensional data of the gravity submerged floating cage, input the three-dimensional data into a computer for modeling, obtain a grid model of the gravity submerged floating cage, and divide the grid model into a plurality of sub-units; The processing module is also used to simulate the static force of the gravity submerged floating cage under the limit displacement state through all subunits and the wind load around the gravity submerged floating cage at the current moment, so as to obtain the simulated tension on the anchor chain of the mooring system, and then determine the logarithmic reduction characteristics of the mooring system under the action of wave force according to the simulated tension and the radiation damping coefficient of the six degrees of freedom of the gravity submerged floating cage; An execution module is used to determine the mooring force on the mooring system of the gravity-type submerged floating cage based on the logarithmic reduction characteristics and the stable fluctuation state of the environmental load.

8. A computer device, characterized in that: The computer device includes a memory and a processor, the memory stores codes, and the processor is configured to obtain the codes and execute the gravity-type submerged floating cage force monitoring method as described in any one of claims 1 to 6.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for monitoring the force of a gravity-type submerged floating cage as described in any one of claims 1 to 6 is implemented.

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