Assembly optimization analysis method for modular assembly of underwater bearing platform

Abstract

The invention relates to the technical field of underwater engineering, in particular to an assembly optimization analysis method for modular assembly of an underwater bearing platform, which comprises the steps of modular design of components, establishment of an underwater positioning system, optimization of an assembly sequence, formulation of an underwater assembly process, stress monitoring and analysis, structural optimization analysis after assembly and environmental adaptability evaluation and adjustment. Stress distribution and deformation conditions under different assembly sequences are simulated through a finite element model, the stress condition in the module assembly process is monitored in real time in combination with a sensor, and an assembly strategy is adjusted in time. Furthermore, based on comprehensive collection and analysis of water area environment data, the anti-corrosion, anti-scouring and anti-biological adhesion design of the bearing platform is optimized, and the service life of the bearing platform is prolonged. Through systematic optimization design and real-time monitoring, the assembly precision, the structural stability and the long-term durability of the bearing platform are ensured.

Description

Technical Field

[0001] The invention relates to the technical field of underwater engineering, and in particular to an assembly optimization analysis method for modular assembly of underwater platforms. Background Art

[0002] In the construction process of underwater piers, modular assembly technology has been widely used due to its high efficiency and convenience. Modular assembly can decompose large pier structures into multiple prefabricated modules, which are first precisely manufactured on land and then assembled underwater. This method not only simplifies the construction process, but also reduces underwater operation time and improves overall construction efficiency. However, the underwater environment is complex and changeable, and is greatly affected by factors such as water flow, tides, temperature changes, and biological attachment. How to ensure the accuracy of the module assembly process in water, the stability of the structure, and the durability of long-term use has become an important issue in engineering design and construction.

[0003] The existing modular assembly technology of underwater pedestals still has some problems in practice. On the one hand, due to the lack of real-time force monitoring and effective assembly sequence optimization during the assembly process, stress concentration, deformation or local overload may occur in the structure during the assembly process, affecting the overall stability and safety of the pedestal. On the other hand, the existing technology often does not take into account the environmental adaptability and lacks a comprehensive analysis of the aquatic environment, which makes the pedestal vulnerable to corrosion, scouring and biological attachment in long-term use, reducing the durability and safety of the structure. Summary of the invention

[0004] The invention provides an assembly optimization analysis method for modular assembly of underwater bearing platforms.

[0005] The assembly optimization analysis method for the modular assembly of underwater caps includes the following steps:

[0006] S1, modular design of components: according to the geometric shape and structural requirements of the underwater platform, multiple prefabricated modular components are designed, and each modular component is connected to each other through embedded parts, connectors or locking structures;

[0007] S2, establishment of underwater positioning system: positioning markers are arranged in the underwater assembly area, and a three-dimensional coordinate system is established by combining the GPS positioning system, acoustic positioning and underwater laser scanning technology to enable real-time monitoring and adjustment of the module's underwater installation position;

[0008] S3. Optimization of module assembly sequence: Based on the structural characteristics of the foundation and the construction process requirements, the assembly sequence of the modules is optimized. The finite element analysis method is used to simulate the stress state and deformation of the foundation under different assembly sequences. The optimal assembly sequence is determined in combination with the construction period and cost considerations.

[0009] S4. Development of underwater assembly process: According to the characteristics of modular components and the underwater environment, develop appropriate underwater assembly process, including module buoyancy adjustment, sinking speed control, and docking method between module and foundation structure;

[0010] S5. Stress monitoring and analysis during assembly: During module assembly, sensors installed on the modules and infrastructure are used to monitor the stress of nodes in real time. Finite element models are used to analyze stress distribution, structural deformation, and connection strength during assembly, so that assembly strategies can be adjusted in a timely manner to avoid structural overload or local stress concentration.

[0011] S6. Optimization analysis of the overall structure after assembly: After the module assembly is completed, the pedestal is measured as a whole using 3D scanning technology, and the performance of the pedestal structure after assembly is analyzed by combining numerical simulation and experimental verification;

[0012] S7. Environmental adaptability evaluation and adjustment: Conduct environmental adaptability analysis based on the use environment of the underwater pedestal, evaluate the impact of corrosion, erosion and biological attachment on the pedestal during long-term use, and propose corresponding protection measures and maintenance plans.

[0013] Optionally, the S1 specifically includes:

[0014] S11, analyzing the cap according to the geometric shape and structural characteristics of the cap in water to determine the size and shape of the modular components;

[0015] S12, design the connection method, which includes using embedded parts, connectors or locking structures to ensure that each module component is firmly connected in the water, considering the special conditions in the water environment (such as water pressure, flow rate, etc.), and selecting materials with strong adaptability, including stainless steel, composite materials and high-density polyethylene;

[0016] S13, design anti-buoyancy measures, including setting ballast blocks inside or outside the module components, using anti-buoyancy materials (such as metal particle mixtures) or structures (such as drainage hole design or negative buoyancy tanks) to prevent the module components from floating or shifting in the water, and ensure that each module can maintain a stable state after launching;

[0017] S15. Consider the durability of the module under long-term immersion in water and under the influence of biological attachment and corrosion. Select materials (such as stainless steel) and protective coatings (such as polyurethane coating or polyurea coating) suitable for underwater environments, and reserve necessary maintenance and replacement interfaces in the design.

[0018] Optionally, the S2 specifically includes:

[0019] S21, evenly arranging a plurality of positioning mark points in a predetermined assembly area, wherein the positioning mark points are selected according to the characteristics of the underwater environment, and the positioning mark points include reflective mark points, acoustic reflectors or luminous mark points;

[0020] S22, installing a GPS base station on the shore or floating platform of the predetermined assembly area, using the GPS system to measure and record the three-dimensional coordinates of each underwater positioning mark point, and using the measured coordinate data as the initial reference coordinates for underwater assembly;

[0021] S23, arranging multiple acoustic beacons in the underwater assembly area, receiving and sending acoustic wave signals in real time through underwater sensors, and acquiring acoustic positioning data;

[0022] S24, installing an underwater laser scanner on a construction vessel or a submersible, and starting the laser scanner during the assembly process to continuously scan the assembly area to obtain real-time three-dimensional coordinate data;

[0023] S25, establishing a three-dimensional coordinate system as a reference for underwater assembly according to the initial reference coordinates, the acoustic positioning data and the three-dimensional coordinate data.

[0024] Optionally, the S3 specifically includes:

[0025] S31, through the static and dynamic force analysis of the overall structure of the cap, identify the key stress points that occur during the assembly process;

[0026] S32, combined with the environmental conditions of the construction site (such as water flow, tide, weather changes, etc.), analyze the impact of environmental conditions on the assembly sequence;

[0027] S33, according to the design drawings of the cap and the actual construction conditions, a finite element model is established, and based on the finite element model, a finite element analysis method is used to simulate various assembly sequences, and the stress state and deformation of the cap under each sequence are compared;

[0028] S34, based on the simulation results of different assembly sequences and combined with the construction period analysis, evaluate the cost-effectiveness of each assembly sequence, including the cost of manpower, materials and equipment;

[0029] S35, determine the optimal module assembly sequence based on the stress and deformation results of the finite element analysis, as well as a comprehensive consideration of the construction period and cost.

[0030] Optionally, the S4 specifically includes:

[0031] S41, calculating the buoyancy and gravity of each module according to the volume, density and underwater environment of the module, and adjusting the buoyancy by adding an appropriate amount of weight blocks inside or outside the module or by injecting and discharging water;

[0032] S42, calculating the optimal sinking speed according to the buoyancy of the module and the underwater environment (such as water flow, tide, etc.), and adjusting the sinking speed of the module by using a hydraulic system or a traction device so that the module reaches a predetermined depth at a uniform and controllable speed;

[0033] S43, design appropriate docking methods (such as plug-in, lock, bolt fixing, etc.) according to the connection requirements between the module and the infrastructure;

[0034] S44, during the assembly process, the assembly position and posture of the module are monitored in real time according to the established three-dimensional coordinate system to ensure that the module installation meets the design coordinates;

[0035] S45, after assembly is completed, conduct a comprehensive inspection of the overall structure to ensure that all modules are installed in place and connected firmly. If any deviation is found, take remedial measures to adjust it immediately.

[0036] Optionally, the S5 specifically includes:

[0037] S51, monitors the stress of the node in real time and obtains stress data through sensors installed on the module and the infrastructure. The sensors include strain gauges and pressure sensors;

[0038] S52, configuring a real-time data acquisition unit to transmit the sensor data to the central control system in real time through wired or wireless communication. During the assembly process, the data collected by the sensor is continuously monitored to display the stress state and change trend of each node in real time;

[0039] S53, performing real-time analysis on stress distribution and structural deformation of the module and the basic structure based on a finite element model according to the real-time force data collected by the sensor;

[0040] S54, through the analysis of stress distribution and structural deformation, identify abnormal conditions that may occur during the assembly process, including local overload, stress concentration or uneven deformation. According to the analysis results, adjust the assembly strategy, such as changing the assembly sequence, adding temporary support or adjusting the module position;

[0041] S55, combines the real-time monitoring force data with the analysis results based on the finite element model to conduct an overall safety assessment of the assembly process.

[0042] Optionally, the S6 specifically includes:

[0043] S61, after the foundation is assembled, start the laser scanner to perform a comprehensive scan on the overall structure of the foundation, obtain three-dimensional coordinate data, import the three-dimensional coordinate data into the three-dimensional modeling software, and generate a three-dimensional digital model of the foundation;

[0044] S62, based on the three-dimensional digital model generated by scanning, combined with the load conditions and environmental conditions in actual construction, establish a numerical simulation model of the cap, consider the influence of various working conditions (such as water flow, tide, load change, etc.) on the structural performance, use numerical simulation technology to analyze the stress distribution, structural deformation and connection strength of the assembled cap under different working conditions, compare the simulation results with the design data before assembly, and verify whether the actual assembly meets the design expectations;

[0045] S63, based on the numerical simulation results, formulate targeted experimental plans, including local loading tests, vibration tests or underwater fatigue tests, to verify the performance of the cap structure under actual conditions;

[0046] S64, comprehensively evaluate the overall performance of the assembled foundation using three-dimensional coordinate data, numerical simulation results, and experimental results, and evaluate the stability, durability, and safety of the structure. Based on the evaluation results, optimization measures are implemented.

[0047] Optionally, the S7 specifically includes:

[0048] S71. Collect environmental data on the waters where the cap is located, including water quality (e.g., salinity, pH), water velocity, tidal changes, temperature, and biological activity. Based on the collected data, analyze the long-term effects of environmental factors (e.g., corrosion, scouring, and biological attachment) on the cap structure.

[0049] S72, using accelerated corrosion tests or electrochemical simulations to test the corrosion resistance of the cap material under specific water quality (such as high salinity) conditions, evaluate the corrosion rate of different materials or coatings in long-term use, and analyze the scouring effect of water flow on the cap foundation and surrounding sediment through hydrodynamic simulations or field tests to identify areas that may lead to structural exposure or unstable foundations;

[0050] S73, conduct biological attachment experiments in a simulated environment to evaluate the biological attachment of the cap material in an aquatic environment, especially the impact of shellfish, algae and other organisms on the cap surface. Based on the test results, formulate measures to prevent or mitigate biological attachment, such as selecting anti-biological attachment coatings or regular removal plans to reduce the impact of biological attachment on the cap structure;

[0051] S74, based on the corrosion and bioattachment assessment results, select materials with strong corrosion resistance and design protective coatings to enhance the environmental adaptability of the foundation.

[0052] Optionally, in S33, a finite element model is established according to the design drawings of the foundation and actual construction conditions, specifically including:

[0053] S331, use finite element pre-processing software (such as ANSYS, Abaqus or HyperMesh) to import the design drawings of the foundation and create a geometric model;

[0054] S332, in the pre-processing software, define material properties for each component in the model, including elastic modulus, Poisson's ratio and density;

[0055] S333, selecting a mesh type suitable for the foundation structure (such as a triangle, tetrahedron or hexahedron unit), and meshing the geometric model. After the meshing is completed, a finite element model is generated;

[0056] S334, according to the actual construction conditions, boundary conditions such as fixed, hinged or sliding bearings are applied to the generated finite element model to simulate the support and constraint conditions of the cap, and the influence of the construction sequence on the mechanical behavior of the structure is considered;

[0057] S335, according to the design drawings and the actual conditions of the construction site, apply load conditions, such as module deadweight, water pressure, buoyancy, etc., to ensure that these load conditions can accurately reflect the forces on the foundation during construction.

[0058] Optionally, the environmental data of the water area where the platform is located is collected in S71, specifically including:

[0059] Water quality composition data collection: Water samples are collected regularly at different depths and locations around the cap and sent to the laboratory for analysis to determine water quality parameters, including salinity (measured by conductivity), pH, dissolved oxygen content, and nutrients (such as nitrates and phosphates);

[0060] Water flow velocity data collection: Use a current meter to measure the water flow velocity and direction in the waters around the platform at different tidal stages and time periods to obtain water flow velocity data;

[0061] Tidal change data collection: Install tide gauges or buoys in the waters where the platform is located to record the tide height in real time, monitor the tidal cycle, high tide and low tide speed, and obtain tidal change data;

[0062] Water temperature data collection: Use CTD probe (integrated conductivity-temperature-depth sensor) to measure water temperature at different depths and time periods to obtain temperature profile data;

[0063] Collection of biological activity data: Collect plankton and benthic samples in the waters around the platform, conduct laboratory classification and quantitative analysis to understand the species and abundance of organisms, deploy underwater video equipment or biosensors, monitor biological activities in the waters in real time, and obtain biological activity data.

[0064] Beneficial effects of the present invention:

[0065] The present invention, through the optimization of assembly sequence and formulation of underwater assembly process, combined with finite element analysis and real-time force monitoring, can ensure the precise docking and stable connection of each module during the assembly process, use sensors to monitor the force conditions in real time, and combine with the finite element model to dynamically analyze the stress distribution and structural deformation, so as to timely adjust the assembly strategy, prevent structural overload and local stress concentration, and ensure the structural stability and safety of the platform during the assembly process.

[0066] The present invention can provide a scientific basis for the anti-corrosion design of the pedestal, the selection of the anti-scouring structure and the anti-biological attachment coating by systematically collecting and analyzing the environmental data of the water area where the pedestal is located, including factors such as water quality, water flow, tide, temperature and biological activity. It can further combine numerical simulation and experimental verification to optimize the analysis and structural adjustment of the assembled pedestal, effectively improving the adaptability and long-term durability of the pedestal in complex underwater environments and extending its service life.

[0067] The present invention reduces potential construction delays and material waste by identifying and avoiding environmental and structural risks in advance, while ensuring the stability and safety of the foundation in actual operation. Through all-round optimization and real-time monitoring, it not only improves construction efficiency, but also significantly reduces maintenance costs, thereby improving the overall economic benefits of the project. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only for the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0069] Figure 1 A schematic diagram of a method flow of an embodiment of the present invention;

[0070] Figure 2 Schematic diagram of S3 process of an embodiment of the present invention. DETAILED DESCRIPTION

[0071] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. At the same time, it is explained here that in order to make the embodiments more detailed, the following embodiments are the best and preferred embodiments, and those skilled in the art may also adopt other alternatives to implement some known technologies; and the accompanying drawings are only for more specific description of the embodiments, and are not intended to specifically limit the present invention.

[0072] It should be noted that the references to "one embodiment", "an embodiment", "an exemplary embodiment", "some embodiments" and the like in the specification indicate that the embodiments described may include specific features, structures or characteristics, but not every embodiment may include the specific features, structures or characteristics. In addition, when a specific feature, structure or characteristic is described in conjunction with an embodiment, it should be within the knowledge of a person skilled in the art to implement such feature, structure or characteristic in conjunction with other embodiments (whether or not explicitly described).

[0073] In general, a term can be understood, at least in part, from its use in context. For example, depending, at least in part, on the context, the term "one or more" as used herein can be used to describe any feature, structure, or characteristic in the singular sense, or can be used to describe a combination of features, structures, or characteristics in the plural sense. Additionally, the term "based on" can be understood as not necessarily intended to convey an exclusive set of factors, but can instead, depending, at least in part, on the context, allow for the presence of other factors that are not necessarily explicitly described.

[0074] like Figure 1-Figure 2 As shown, the assembly optimization analysis method for the modular assembly of the underwater platform includes the following steps:

[0075] S1, modular design of components: According to the geometric shape and structural requirements of the underwater platform, multiple prefabricated modular components are designed. The modular components are connected to each other through embedded parts, connectors or locking structures to ensure the overall stability and connection strength of the modules when assembled in water. The underwater installation operability and transportation convenience of the modules are fully considered during the design, and anti-buoyancy design is carried out to ensure that the modules can be accurately positioned and stable in the water;

[0076] S2, establishment of underwater positioning system: positioning markers are arranged in the underwater assembly area, and a three-dimensional coordinate system is established by combining the GPS positioning system, acoustic positioning and underwater laser scanning technology to enable real-time monitoring and adjustment of the module's underwater installation position;

[0077] S3. Optimization of module assembly sequence: Based on the structural characteristics of the pedestal and the construction process requirements, the module assembly sequence is optimized. The finite element analysis method is used to simulate the stress state and deformation of the pedestal under different assembly sequences. The optimal assembly sequence is determined in combination with the construction period and cost considerations to ensure structural stability and overall performance during the assembly process.

[0078] S4. Development of underwater assembly process: According to the characteristics of modular components and the underwater environment, develop appropriate underwater assembly process, including module buoyancy adjustment, sinking speed control, and module and infrastructure docking method, to ensure that each module can be accurately positioned and firmly connected, and monitor assembly accuracy and connection strength in real time during the assembly process to ensure assembly quality;

[0079] S5. Force monitoring and analysis during assembly: During module assembly, sensors installed on the modules and foundation structures are used to monitor the stress of nodes in real time. Finite element models are used to analyze stress distribution, structural deformation, and connection strength during assembly. Assembly strategies are adjusted in a timely manner to avoid structural overload or local stress concentration, thus ensuring the overall safety of the cap assembly.

[0080] S6. Optimization analysis of the overall structure after assembly: After the module assembly is completed, the pedestal is measured as a whole using 3D scanning technology, and the performance of the pedestal structure after assembly is analyzed by combining numerical simulation and experimental verification;

[0081] S7. Evaluation and adjustment of environmental adaptability: Conduct environmental adaptability analysis based on the use environment of the pedestal in water, evaluate the impact of corrosion, erosion and biological attachment on the pedestal during long-term use, propose corresponding protection measures and maintenance plans, and improve the environmental adaptability of the pedestal and extend its service life by adjusting the assembly process and structural design.

[0082] S1 specifically includes:

[0083] S11, analyze the cap according to its geometric shape and structural characteristics, determine the size and shape of modular components, and ensure that the modules are tightly connected through reasonable interfaces to meet the overall strength and stability requirements of the cap;

[0084] S12, design the connection method, which includes using embedded parts, connectors or locking structures to ensure that each module component is firmly connected in the water, considering the special conditions in the water environment (such as water pressure, flow rate, etc.), and selecting materials with strong adaptability, including stainless steel, composite materials and high-density polyethylene;

[0085] S13, design anti-buoyancy measures, including setting ballast blocks inside or outside the module components, using anti-buoyancy materials (such as metal particle mixtures) or structures (such as drainage hole design or negative buoyancy tanks) to prevent the module components from floating or shifting in the water, and ensure that each module can maintain a stable state after launching;

[0086] S15. Consider the durability of the module under long-term immersion in water and under the influence of biological attachment and corrosion. Select materials (such as stainless steel) and protective coatings (such as polyurethane coatings or polyurea coatings) suitable for underwater environments to ensure the durability of module components in long-term use, and reserve necessary maintenance and replacement interfaces in the design.

[0087] S2 specifically includes:

[0088] S21. Multiple positioning mark points are evenly arranged in the predetermined assembly area. The positioning mark points are selected according to the characteristics of the underwater environment (such as water depth, flow rate, visibility, etc.). The positioning mark points include reflective mark points, acoustic reflectors or luminous mark points. Reflective mark points are suitable for shallow water areas with sufficient light, and acoustic reflectors are suitable for deep water areas with low visibility. Ensure that the positioning mark points are fixed on the seabed or base, and use anchor devices or brackets made of corrosion-resistant materials to resist the impact of water currents and waves. The spacing between the mark points should be reasonably set according to the module size and positioning accuracy requirements;

[0089] S22, installing a GPS base station on the shore or floating platform of the predetermined assembly area, ensuring that the position of the base station is stable and can cover the entire assembly area, using a high-precision differential GPS system to improve positioning accuracy, using the GPS system to measure and record the three-dimensional coordinates of each underwater positioning mark point, and using the measured coordinate data as the initial reference coordinates for underwater assembly;

[0090] S23, multiple acoustic beacons are arranged in the underwater assembly area, and acoustic positioning data is obtained by receiving and sending acoustic wave signals in real time through underwater sensors. The acoustic beacons are arranged at different depths and orientations to cover the entire assembly area. The acoustic positioning system is preliminarily calibrated through positioning markers or reference objects at known locations to ensure the accuracy of the acoustic wave transmission path and signal strength. The position and configuration of the beacons are adjusted according to the calibration results to ensure that the positioning accuracy meets the requirements;

[0091] S24, install an underwater laser scanner on the construction ship or submersible. The scanner should be able to rotate 360 ​​degrees to obtain comprehensive three-dimensional spatial data. During the assembly process, start the laser scanner to continuously scan the assembly area to obtain real-time three-dimensional coordinate data;

[0092] S25, based on the initial reference coordinates, acoustic positioning data and three-dimensional coordinate data, a three-dimensional coordinate system is established as a reference for underwater assembly. The coordinate system should cover the entire assembly area and be consistent with the design model. During the assembly process, the three-dimensional coordinate system is dynamically calibrated based on real-time monitoring data to adjust the coordinate system offset caused by environmental changes (such as water flow, tide, etc.) to ensure that the assembly accuracy is always maintained within the set range;

[0093] The establishment of the underwater positioning system ensures that when the base modules are assembled in water, each module can be correctly positioned and installed in a precise three-dimensional coordinate system, thereby improving the installation accuracy, stability and safety of the overall structure.

[0094] S3 specifically includes:

[0095] S31, through the static and dynamic stress analysis of the overall structure of the pedestal, identify the key stress points that occur during the assembly process, determine the module areas that need priority attention, evaluate the stability of each module during the assembly process, especially the local stability in the incomplete assembly state, and determine the structural weaknesses that may occur at different assembly stages;

[0096] S32, combined with the environmental conditions of the construction site (such as water flow, tide, weather changes, etc.), analyze the impact of environmental conditions on the assembly sequence, formulate targeted construction plans, and select the most suitable assembly method (such as top-down assembly, partitioned assembly, etc.) according to the structural characteristics of the foundation and the construction environment, so as to improve construction efficiency while ensuring safety and accuracy;

[0097] S33, according to the design drawings of the pile cap and the actual construction conditions, a finite element model is established, and based on the finite element model, the finite element analysis method is used to simulate various assembly sequences, and the stress state and deformation of the pile cap under each sequence are compared, with special attention paid to high stress areas and possible excessive deformation areas;

[0098] S34, based on the simulation results of different assembly sequences and combined with the construction period analysis, evaluate the cost-effectiveness of each assembly sequence, including the cost of manpower, materials and equipment, to ensure that the construction cost is optimized while ensuring quality;

[0099] S35, based on the stress and deformation results of finite element analysis, as well as comprehensive considerations of construction period and cost, determine the optimal module assembly sequence, verify the selected assembly sequence in a small-scale trial assembly, and make necessary adjustments and optimizations if problems are found to ensure the feasibility and reliability of the final assembly plan;

[0100] By analyzing the structural characteristics and construction technology of the foundation, various assembly sequences were evaluated using finite element simulation, and comprehensive consideration was given to the construction period and cost. Ultimately, the optimal assembly sequence that ensures structural stability and overall performance was determined.

[0101] S4 specifically includes:

[0102] S41, calculating the buoyancy and gravity of each module according to the volume, density and underwater environment of the module, ensuring that the module has appropriate buoyancy or slight negative buoyancy after launching into the water, so as to control the sinking speed, adding an appropriate amount of counterweight blocks inside or outside the module or adjusting the buoyancy by injecting and discharging water, ensuring that the module can maintain a predetermined posture and stability after launching into the water;

[0103] S42, calculating the optimal sinking speed according to the buoyancy of the module and the underwater environment (such as water flow, tide, etc.), ensuring that the module does not deviate from the predetermined trajectory during the sinking process, and adjusting the sinking speed of the module using a hydraulic system or a traction device, so that the module reaches the predetermined depth at a uniform and controllable speed, avoiding instability caused by too fast or too slow sinking;

[0104] S43, according to the connection requirements between the module and the basic structure, design a suitable docking method (such as plug-in, lock, bolt fixing, etc.) to ensure that the module can be accurately docked with the basic structure and remain stable;

[0105] S44, during the assembly process, the assembly position and posture of the module are monitored in real time according to the established three-dimensional coordinate system to ensure that the module installation meets the design coordinates;

[0106] S45, after the assembly is completed, conduct a comprehensive inspection of the overall structure to ensure that all modules are installed in place and connected firmly. If any deviation is found, take remedial measures to adjust it immediately. All monitoring data, adjustment records and final inspection results during the assembly process are compiled into a report as the basis for project acceptance and subsequent maintenance;

[0107] The development of underwater assembly technology ensures that the modules can be accurately positioned and securely connected underwater. Real-time monitoring and adjustment ensure the assembly quality and long-term stability of the structure.

[0108] S5 specifically includes:

[0109] S51, monitor the stress of the nodes in real time and obtain stress data through sensors installed on the modules and the infrastructure. The sensors include strain gauges and pressure sensors. The strain gauges are used to monitor the local stress and deformation of the structure, especially the connection parts and high stress areas between the modules and the infrastructure. The pressure sensors are used to monitor the contact pressure between the modules and the infrastructure to ensure that the pressure distribution of the contact surface is uniform during assembly. Strain gauges are installed at key connection parts between the modules and the infrastructure (such as bolt connection areas or welded joints). These parts are areas where stress is concentrated during assembly. Strain gauge monitoring can ensure that the connection strength and stress changes meet the design requirements;

[0110] Through finite element analysis or structural design judgment, identify high stress areas in modules and foundation structures, such as the intersection of support beams, corners or areas that carry the main force, and install strain gauges at these locations to monitor possible stress concentration and structural deformation in real time;

[0111] Install pressure sensors on the contact surface between the module and the foundation structure (such as the bottom of the support column or the bottom of the pedestal) to monitor the pressure distribution between the module and the foundation during assembly, ensure that the contact surface is evenly stressed, and avoid local overload;

[0112] Pressure sensors are also installed on the temporary support structures used during the assembly process to monitor the stress of the support structures in real time, ensure the stability of the modules before and after assembly, and adjust the support system when necessary;

[0113] S52, configure a real-time data acquisition unit to transmit the sensor data to the central control system in real time through wired or wireless communication. During the assembly process, the data collected by the sensor is continuously monitored to display the stress state and change trend of each node in real time to ensure timely discovery of abnormal stress conditions;

[0114] S53, based on the real-time force data collected by the sensor, the stress distribution and structural deformation of the module and the foundation structure are analyzed in real time based on the finite element model, with special attention paid to high stress areas and potential structural weaknesses, and the overall deformation and strength of the connection parts during the module assembly process are analyzed to ensure that the strength of each connection is within the design allowable range when the structure is subjected to construction loads and environmental loads;

[0115] S54, through the analysis of stress distribution and structural deformation, identify abnormal conditions that may occur during the assembly process, including local overload, stress concentration or uneven deformation. According to the analysis results, adjust the assembly strategy, such as changing the assembly sequence, adding temporary support or adjusting the module position, to avoid further structural stress concentration or overload;

[0116] S55, combining the real-time monitoring force data and the analysis results based on the finite element model, conduct an overall safety assessment of the assembly process to ensure that the structure is always in a safe state during the assembly process, record the problems found during the monitoring and analysis process and the corresponding adjustment measures, and feed back the final safety assessment results to the construction management personnel to guide the subsequent assembly steps;

[0117] By monitoring and analyzing the forces during the assembly process, we can ensure that potential mechanical problems can be identified and addressed in a timely manner during the assembly process, thereby avoiding structural overload and stress concentration and ensuring the overall safety of the base assembly.

[0118] S6 specifically includes:

[0119] S61, after the foundation is assembled, start the laser scanner to perform a comprehensive scan of the overall structure of the foundation to obtain three-dimensional coordinate data, ensure that the specific position, posture and connection of each module are captured, import the three-dimensional coordinate data into the three-dimensional modeling software, and generate a three-dimensional digital model of the foundation as the basis for subsequent analysis;

[0120] S62, based on the three-dimensional digital model generated by scanning, combined with the load conditions and environmental conditions in actual construction, establish a numerical simulation model of the cap, consider the impact of various working conditions (such as water flow, tide, load change, etc.) on the structural performance, use numerical simulation technology to analyze the stress distribution, structural deformation and connection strength of the assembled cap under different working conditions, identify possible structural weaknesses and potential risks, compare the simulation results with the design data before assembly, verify whether the actual assembly has met the design expectations, and further confirm the accuracy of the simulation analysis in combination with experimental data;

[0121] S63. According to the results of numerical simulation, formulate targeted experimental plans, including local loading tests, vibration tests or underwater fatigue tests, to verify the performance of the cap structure under actual conditions. According to the experimental plan, conduct experiments in a controlled environment to collect structural response data (such as stress, deformation, connection strength, etc.), and compare and analyze them with the numerical simulation results. According to the results of experimental verification, put forward structural optimization suggestions, such as strengthening the connection of specific parts, adjusting the structural design, etc., to further improve the overall performance and safety of the cap;

[0122] S64, comprehensively evaluate the overall performance of the assembled cap based on the three-dimensional coordinate data, numerical simulation results and experimental results, evaluate the stability, durability and safety of the structure, and implement optimization measures based on the evaluation results, such as adjusting the local structure of the cap or reinforcing the connection parts, to ensure that the assembled cap can operate safely for a long time;

[0123] Through the optimization analysis of the overall structure after assembly, it is ensured that the structural performance of the foundation after assembly meets the design requirements, and through necessary optimization measures, the long-term stability and safety of the foundation are improved.

[0124] S7 specifically includes:

[0125] S71. Collect environmental data on the waters where the cap is located, including water quality components (such as salinity, pH), water velocity, tidal changes, temperature and biological activity. Based on the collected data, analyze the long-term impact of environmental factors (such as corrosion, scouring and biological attachment) on the cap structure, with special attention to potential risks in areas with high salinity, high flow velocity and high biological activity;

[0126] S72, using accelerated corrosion tests or electrochemical simulations to test the corrosion resistance of the cap material under specific water quality (such as high salinity) conditions, evaluate the corrosion rate of different materials or coatings in long-term use, and analyze the scouring effect of water flow on the cap foundation and surrounding sediment through hydrodynamic simulations or field tests to identify areas that may lead to structural exposure or unstable foundations;

[0127] S73, conduct biological attachment experiments in a simulated environment to evaluate the biological attachment of the cap material in an aquatic environment, especially the impact of shellfish, algae and other organisms on the cap surface. Based on the test results, formulate measures to prevent or mitigate biological attachment, such as selecting anti-biological attachment coatings or regular removal plans to reduce the impact of biological attachment on the cap structure;

[0128] S74. Based on the corrosion and biofouling assessment results, select materials with strong corrosion resistance and design protective coatings to enhance the environmental adaptability of the cap. Add structural reinforcement measures, such as adding anti-scour armor or increasing the foundation protection range, to ensure the long-term stability of the cap. Develop a long-term maintenance and monitoring plan for the cap, including regular inspections, cleaning of biofouling, coating maintenance, and corrosion monitoring, to ensure that the cap maintains good performance throughout its service life.

[0129] Through environmental adaptability evaluation and adjustment, we ensure that the foundation can effectively resist environmental influences during long-term use, maintain structural stability, extend service life, and improve the safety and reliability of the overall project.

[0130] In S33, a finite element model is established based on the design drawings of the foundation and the actual construction conditions, including:

[0131] S331, use finite element pre-processing software (such as ANSYS, Abaqus or HyperMesh) to import the design drawings of the foundation and create a geometric model. According to the analysis requirements, the geometric model is appropriately simplified to remove small features that do not affect the overall mechanical behavior to reduce the amount of calculation;

[0132] S332, in the pre-processing software, define material properties for each component in the model, including elastic modulus, Poisson's ratio and density;

[0133] S333, selecting a mesh type suitable for the cap structure (such as triangle, tetrahedron or hexahedron unit), meshing the geometric model, and locally refining the mesh in stress concentration areas (such as connection points, supporting structures, etc.) to ensure the calculation accuracy and stability of the model. After the meshing is completed, a finite element model is generated;

[0134] S334, according to the actual construction conditions, boundary conditions such as fixed, hinged or sliding bearings are applied to the generated finite element model to simulate the support and constraint conditions of the cap, and the influence of the construction sequence on the mechanical behavior of the structure is considered;

[0135] S335, according to the design drawings and the actual conditions of the construction site, apply load conditions, such as module deadweight, water pressure, buoyancy, etc., to ensure that these load conditions can accurately reflect the forces on the foundation during construction.

[0136] S71 collects environmental data of the waters where the platform is located, including:

[0137] Water quality composition data collection: Water samples are collected regularly at different depths and locations around the cap and sent to the laboratory for analysis to determine water quality parameters, including salinity (measured by conductivity), pH, dissolved oxygen content, and nutrients (such as nitrates and phosphates);

[0138] Water flow velocity data collection: Use a current meter to measure the water flow velocity and direction in the waters around the platform at different tidal stages and time periods to obtain water flow velocity data;

[0139] Tidal change data collection: Install tide gauges or buoys in the waters where the platform is located to record the tide height in real time, monitor the tidal cycle, high tide and low tide speed, and obtain tidal change data;

[0140] Water temperature data collection: Use CTD probe (integrated conductivity-temperature-depth sensor) to measure water temperature at different depths and time periods to obtain temperature profile data;

[0141] Collection of biological activity data: Collect plankton and benthic samples in the waters around the platform, conduct laboratory classification and quantitative analysis to understand the species and abundance of organisms, deploy underwater video equipment or biosensors, monitor biological activities in the waters in real time, and obtain biological activity data.

[0142] The present invention covers any substitution, modification, equivalent method and scheme made on the essence and scope of the present invention. In order to make the public have a thorough understanding of the present invention, specific details are described in detail in the following preferred embodiments of the present invention, but those skilled in the art can fully understand the present invention without the description of these details. In addition, in order to avoid unnecessary confusion about the essence of the present invention, well-known methods, processes, procedures, components and circuits are not described in detail.

[0143] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. An assembly optimization analysis method for modular assembly of underwater caps, characterized in that: The following steps are involved: S1, modular design of components: according to the geometric shape and structural requirements of the underwater platform, multiple prefabricated modular components are designed, and each modular component is connected to each other through embedded parts, connectors or locking structures; S2, establishment of underwater positioning system: positioning markers are arranged in the underwater assembly area, and a three-dimensional coordinate system is established by combining GPS positioning system, acoustic positioning and underwater laser scanning technology to enable real-time monitoring and adjustment of the module's underwater installation position; S3. Optimization of module assembly sequence: Based on the structural characteristics of the foundation and the construction process requirements, the assembly sequence of the modules is optimized. The finite element analysis method is used to simulate the stress state and deformation of the foundation under different assembly sequences. The optimal assembly sequence is determined in combination with the construction period and cost considerations. S4. Development of underwater assembly process: According to the characteristics of modular components and the underwater environment, develop appropriate underwater assembly process, including module buoyancy adjustment, sinking speed control, and docking method between module and foundation structure; S5. Stress monitoring and analysis during assembly: During module assembly, sensors installed on the modules and infrastructure are used to monitor the stress of nodes in real time. Finite element models are used to analyze stress distribution, structural deformation, and connection strength during assembly, so that assembly strategies can be adjusted in a timely manner to avoid structural overload or local stress concentration. S6. Optimization analysis of the overall structure after assembly: After the module assembly is completed, the pedestal is measured as a whole using 3D scanning technology, and the performance of the pedestal structure after assembly is analyzed by combining numerical simulation and experimental verification; S7. Environmental adaptability evaluation and adjustment: Conduct environmental adaptability analysis based on the use environment of the underwater pedestal, evaluate the impact of corrosion, erosion and biological attachment on the pedestal during long-term use, and propose corresponding protection measures and maintenance plans.

2. The assembly optimization analysis method for modular assembly of underwater platforms according to claim 1 is characterized in that: The S1 specifically includes: S11, analyzing the cap according to the geometric shape and structural characteristics of the cap in water to determine the size and shape of the modular components; S12, design the connection method, which includes using embedded parts, connectors or locking structures to ensure that each module component is firmly connected in the water. Considering the special conditions in the water environment, select materials with strong adaptability, including stainless steel, composite materials and high-density polyethylene; S13, design anti-buoyancy measures, including setting ballast blocks inside or outside the module components, using anti-buoyancy materials or structures to prevent the module components from floating or shifting in the water; S15, consider the durability of the module under long-term immersion in water and subject to biological attachment and corrosion, and select materials and protective coatings suitable for underwater environments.

3. The assembly optimization analysis method for modular assembly of underwater platforms according to claim 2 is characterized in that: The S2 specifically includes: S21, evenly arranging a plurality of positioning mark points in a predetermined assembly area, wherein the positioning mark points are selected according to the characteristics of the underwater environment, and the positioning mark points include reflective mark points, acoustic reflectors or luminous mark points; S22, installing a GPS base station on the shore or floating platform of the predetermined assembly area, using the GPS system to measure and record the three-dimensional coordinates of each underwater positioning mark point, and using the measured coordinate data as the initial reference coordinates for underwater assembly; S23, arranging multiple acoustic beacons in the underwater assembly area, receiving and sending acoustic wave signals in real time through underwater sensors, and acquiring acoustic positioning data; S24, installing an underwater laser scanner on a construction vessel or a submersible, and starting the laser scanner during the assembly process to continuously scan the assembly area to obtain real-time three-dimensional coordinate data; S25, establishing a three-dimensional coordinate system as a reference for underwater assembly according to the initial reference coordinates, the acoustic positioning data and the three-dimensional coordinate data.

4. The assembly optimization analysis method for modular assembly of underwater caps according to claim 3 is characterized in that: The S3 specifically includes: S31, through the static and dynamic force analysis of the overall structure of the cap, identify the stress points that occur during the assembly process; S32, combined with the environmental conditions of the construction site, analyze the impact of environmental conditions on the assembly sequence; S33, according to the design drawings of the cap and the actual construction conditions, a finite element model is established, and based on the finite element model, a finite element analysis method is used to simulate various assembly sequences, and the stress state and deformation of the cap under each sequence are compared; S34, based on the simulation results of different assembly sequences and combined with the construction period analysis, evaluate the cost-effectiveness of each assembly sequence, including the cost of manpower, materials and equipment; S35, determine the optimal module assembly sequence based on the stress and deformation results of the finite element analysis, as well as a comprehensive consideration of the construction period and cost.

5. The assembly optimization analysis method for modular assembly of underwater platforms according to claim 4 is characterized in that: The S4 specifically includes: S41, calculating the buoyancy and gravity of each module according to the volume, density and underwater environment of the module, and adjusting the buoyancy by adding an appropriate amount of weight blocks inside or outside the module or by injecting and discharging water; S42, calculating the optimal sinking speed according to the buoyancy of the module and the underwater environment, and adjusting the sinking speed of the module by using a hydraulic system or a traction device so that the module reaches a predetermined depth at a uniform and controllable speed; S43, design the docking method according to the connection requirements between the module and the infrastructure; S44, during the assembly process, monitoring the assembly position and posture of the module in real time according to the established three-dimensional coordinate system; S45, after assembly is completed, conduct a comprehensive inspection of the overall structure to ensure that all modules are installed in place and connected firmly. If any deviation is found, take remedial measures to adjust it immediately.

6. The assembly optimization analysis method for modular assembly of underwater platforms according to claim 5, characterized in that: The S5 specifically includes: S51, monitors the stress of the node in real time and obtains stress data through sensors installed on the module and the infrastructure. The sensors include strain gauges and pressure sensors; S52, configuring a real-time data acquisition unit to transmit the sensor data to the central control system in real time through wired or wireless communication. During the assembly process, the data collected by the sensor is continuously monitored to display the stress state and change trend of each node in real time; S53, performing real-time analysis on stress distribution and structural deformation of the module and the basic structure based on a finite element model according to the real-time force data collected by the sensor; S54, by analyzing stress distribution and structural deformation, identify abnormal conditions that may occur during the assembly process, including local overload, stress concentration or uneven deformation, and adjust the assembly strategy based on the analysis results; S55, combines the real-time monitoring force data with the analysis results based on the finite element model to conduct an overall safety assessment of the assembly process.

7. The assembly optimization analysis method for modular assembly of underwater platforms according to claim 6 is characterized in that: The S6 specifically includes: S61, after the foundation is assembled, start the laser scanner to perform a comprehensive scan on the overall structure of the foundation, obtain three-dimensional coordinate data, import the three-dimensional coordinate data into the three-dimensional modeling software, and generate a three-dimensional digital model of the foundation; S62, based on the three-dimensional digital model generated by scanning, combined with the load conditions and environmental conditions in actual construction, establish a numerical simulation model of the cap, use numerical simulation technology to analyze the stress distribution, structural deformation and connection strength of the assembled cap under different working conditions, compare the simulation results with the design data before assembly, and verify whether the actual assembly meets the design expectations; S63, based on the numerical simulation results, formulate targeted experimental plans, including local loading tests, vibration tests or underwater fatigue tests, to verify the performance of the cap structure under actual conditions; S64, comprehensively evaluate the overall performance of the assembled foundation using three-dimensional coordinate data, numerical simulation results, and experimental results, and evaluate the stability, durability, and safety of the structure. Based on the evaluation results, optimization measures are implemented.

8. The assembly optimization analysis method for modular assembly of underwater platforms according to claim 7, characterized in that: The S7 specifically includes: S71, collect environmental data of the waters where the cap is located, including water quality composition, water flow velocity, tidal changes, temperature and biological activity, and analyze the long-term impact of environmental factors on the cap structure based on the collected data; S72, using accelerated corrosion tests or electrochemical simulations to test the corrosion resistance of cap materials under specific water conditions, evaluate the corrosion rates of different materials or coatings in long-term use, analyze the scouring effect of water flow on the cap foundation and surrounding sediment through hydrodynamic simulations or field tests, and identify areas that cause structural exposure or unstable foundations; S73, conduct biological attachment experiments in a simulated environment to evaluate the biological attachment of the foundation material in an aquatic environment, and formulate measures to prevent or mitigate biological attachment based on the test results; S74, based on the corrosion and bioattachment assessment results, select materials with strong corrosion resistance and design protective coatings to enhance the environmental adaptability of the foundation.

9. The assembly optimization analysis method for modular assembly of underwater platforms according to claim 4, characterized in that: In S33, a finite element model is established according to the design drawings of the foundation and the actual construction conditions, which specifically includes: S331, using finite element pre-processing software, import the design drawings of the foundation and create a geometric model; S332, in the pre-processing software, define material properties for each component in the model, including elastic modulus, Poisson's ratio and density; S333, selecting a mesh type suitable for the foundation structure, and meshing the geometric model to generate a finite element model; S334, applying boundary conditions to the generated finite element model according to actual construction conditions; S335, apply load conditions according to the design drawings and actual conditions of the construction site.

10. The assembly optimization analysis method for modular assembly of underwater platforms according to claim 8, characterized in that: The environmental data of the water area where the platform is located is collected in S71, specifically including: Water quality composition data collection: water samples are collected regularly at different depths and locations around the platform, and the collected water samples are sent to the laboratory for analysis to determine water quality parameters, including salinity, pH value, dissolved oxygen content and nutrients; Water flow velocity data collection: Use a current meter to measure the water flow velocity and direction in the waters around the platform at different tidal stages and time periods to obtain water flow velocity data; Tidal change data collection: Install tide gauges or buoys in the waters where the platform is located to record the tide height in real time, monitor the tidal cycle, high tide and low tide speed, and obtain tidal change data; Water temperature data collection: Use CTD probe to measure water temperature at different depths and time periods to obtain temperature profile data; Collection of biological activity data: Collect plankton and benthic samples in the waters around the platform, conduct laboratory classification and quantitative analysis to understand the species and abundance of organisms, deploy underwater video equipment or biosensors, monitor biological activities in the waters in real time, and obtain biological activity data.

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