Single point mooring system liquid slip ring operation and maintenance method based on digital twinborn technology

Abstract

The invention relates to the technical field of single-point mooring system liquid slip ring operation and maintenance, and particularly discloses a single-point mooring system liquid slip ring operation and maintenance method based on a digital twin technology, and the method comprises the following steps: S1, constructing a liquid slip ring virtual entity according to the physical entity data of a single-point mooring system liquid slip ring; s2, according to the operation measured data of the liquid slip ring, adjusting the virtual entity of the liquid slip ring to obtain a digital twin model of the liquid slip ring; and S3, operation and maintenance of the liquid slip ring of the single point mooring system are carried out based on the digital twin model of the liquid slip ring. According to the method, the detection cost can be reduced, man-made misjudgment is reduced, the accuracy and timeliness of fault prediction can be improved, a scientific basis is provided for daily maintenance and preventive maintenance, and cost saving and risk reduction are realized.

Description

Technical Field

[0001] The present invention relates to the technical field of single-point mooring system liquid slip ring operation and maintenance, and in particular to a single-point mooring system liquid slip ring operation and maintenance method based on digital twin technology. Background Art

[0002] Floating Production Storage and Offloading (FPSO) vessels, a core component of offshore oil development, have demonstrated their robust oil and water production and crude oil storage capabilities in a wide range of applications. Their maneuverability and adaptability ensure stable operations in diverse marine environments. However, as challenges in extreme marine environments intensify, failures in FPSO single-point mooring systems, particularly critical components such as slip rings, are becoming increasingly prominent, posing a direct threat to oilfield safety and profitability.

[0003] Single-point mooring (SPM) systems, serving as a bridge between FPSOs and production platforms or subsea production systems, carry the heavy responsibility of fluid transmission, making their stability and reliability crucial. While mooring force monitoring is currently relatively well established, monitoring of key components such as slip rings remains limited to basic data logging and simple alarms, lacking in-depth active data processing, multi-parameter fault modeling, and fault warning mechanisms. This urges breakthroughs in slip ring fault diagnosis technology to ensure the safe and stable operation of FPSOs in complex marine environments. As core components of SPM systems, slip rings operate in harsh environments, placing extremely high demands on materials and processing quality, resulting in high costs and technical complexity. Researchers have extensively explored the spring seals of slip rings using finite element simulation techniques, analyzing the impact of various parameters on seal performance and optimizing their structures. However, further improving the monitoring and maintenance of slip rings remains a pressing issue. Summary of the Invention

[0004] The present invention aims to address the problem that data monitoring of the slip rings in single-point mooring systems remains at the basic data recording and simple alarm stage, and lacks active data processing and multi-parameter fault warning mechanisms. To this end, the present invention provides a single-point mooring system slip ring operation and maintenance method based on digital twin technology. By leveraging finite element modeling technology and a data-driven fault diagnosis concept, a virtual mapping model of the actual physical object of the slip ring is established, and digital twin technology is used to perform real-time visual monitoring, analysis, and fault prediction of the operating status of the slip ring. The present invention not only helps to reduce detection costs and human error, but also improves the accuracy and timeliness of fault prediction, provides a scientific basis for routine maintenance and preventive maintenance, and achieves cost savings and risk reduction.

[0005] The present invention provides a single point mooring system liquid slip ring operation and maintenance method based on digital twin technology, and the technical solution adopted is as follows: comprising the following steps: S1: Construct a virtual entity of the slip ring based on the physical entity data of the slip ring of the single point mooring system; S2: According to the measured operation data of the hydraulic slip ring, the virtual entity of the hydraulic slip ring is adjusted to obtain the digital twin model of the hydraulic slip ring; S3: Operation and maintenance of the single point mooring system hydraulic slip ring based on the hydraulic slip ring digital twin model.

[0006] Furthermore, the physical entity data of the single point mooring system slip ring includes three-dimensional coordinate data, matching information data, material data and behavior model.

[0007] Furthermore, the construction process of the liquid slip ring virtual entity is as follows: Use 3D modeling software to obtain a preliminary virtual entity of the hydraulic slip ring based on 3D coordinate data, matching information data, and material data; The use of the hydraulic slip ring under actual working conditions is simulated, and the preliminary hydraulic slip ring virtual entity is adjusted based on the behavioral model to obtain the hydraulic slip ring virtual entity.

[0008] Furthermore, the use of the hydraulic slip ring under actual working conditions is simulated, and the preliminary hydraulic slip ring virtual entity is adjusted based on the behavioral model. The specific process is as follows: In the virtual environment, a virtual scene identical to the working environment of the slip ring is built to simulate the external conditions of liquid flow and pressure distribution. According to the virtual entity load data of the slip ring under the maximum load condition, the Upper limit of load threshold of physical structure of slip ring Make a judgment, and the judgment principle is: when When the hydraulic slip ring is abnormal; when When , it is determined that the slip ring is working normally; If the slip ring works abnormally, the initial slip ring virtual entity needs to be adjusted; Corresponding to the behavioral model, it is the load value when the spring energy storage seal inside the liquid slip ring does not leak.

[0009] Furthermore, the measured operation data include rotational torque, leakage, internal fluid medium delivery pressure and liquid slip ring rotation speed.

[0010] Furthermore, according to the internal fluid medium delivery pressure and the rotation speed of the liquid slip ring, the predicted rotational torque and predicted leakage are obtained through the liquid slip ring virtual entity simulation. When the predicted rotational torque and predicted leakage are not equal to the rotational torque and leakage, the slip ring seal root gap value, the sealing ring surface roughness peak radius and the sealing ring surface roughness of the liquid slip ring virtual entity are adjusted.

[0011] Furthermore, the particle swarm optimization algorithm is used to adjust the slip ring seal root gap value, the seal ring surface roughness peak radius and the seal ring surface roughness of the liquid slip ring virtual entity.

[0012] Furthermore, in S3, the real-time operating data of the hydraulic slip ring of the single-point mooring system is obtained, and the real-time operating data is input into the digital twin model of the hydraulic slip ring to evaluate the operating status of the hydraulic slip ring.

[0013] Furthermore, the real-time operation data is input into the digital twin model of the hydraulic slip ring to obtain the current sealing performance of the hydraulic slip ring spring energy storage seal and determine whether the spring energy storage seal has a leakage fault. The judgment principles are: when When , it is determined that no leakage fault occurs; when When , it is determined that a leakage fault occurs; in, Indicates the current sealing performance of the hydraulic slip ring spring energy storage seal. Indicates standard sealing performance.

[0014] Furthermore, in S3, during the operation and maintenance process, real-time operation data is collected, the digital twin model is run, the corresponding prediction value is generated, and the objective function is defined to optimize the parameters to be optimized; The parameters to be optimized include the rough peak radius of the sealing ring surface , Sealing ring surface roughness , Liquid sliding ring seal root gap value ; Optimize the objective function as follows: Where n is the number of data, is the measured value of the kth item, is the predicted value of the kth item.

[0015] The above one or more technical solutions in the embodiments of the present invention have at least one of the following technical effects: 1. The present invention constructs a digital twin model of the hydraulic slip ring through digital twin technology. By processing the operating data of the hydraulic slip ring of the single-point mooring system in real time, it realizes the operation and maintenance of the hydraulic slip ring of the single-point mooring system, and issues an alarm when a leakage failure occurs in the spring energy storage seal.

[0016] 2. The present invention constructs a virtual entity of the liquid slip ring based on the physical entity data of the single-point mooring system liquid slip ring, and incorporates a behavioral model into the construction process based on the main functions of the liquid slip ring, focusing on the sealing performance of the spring energy storage seal.

[0017] 3. When constructing the digital twin model of the liquid slip ring, the present invention adopts the mixed lubrication theory for quantitative description, and automatically adjusts the slip ring seal root gap value, the sealing ring surface roughness peak radius and the sealing ring surface roughness of the liquid slip ring virtual entity according to the rotational torque, leakage amount, internal fluid medium delivery pressure and liquid slip ring rotation speed, so as to finally make the simulation results and the actual measured data tend to be consistent, and achieve successful model fitting.

[0018] 4. The digital twin model dynamic update technology of the present invention dynamically responds to operating condition fluctuations such as lubricant ring wear, ensuring that the fault diagnosis method based on digital twin technology can accurately reflect the actual working status of the lubricant ring seal, providing solid data support and decision-making basis for subsequent maintenance, optimization and fault prevention.

[0019] Additional aspects and advantages of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description which follows, or may be learned by practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0021] Figure 1 It is a flow chart of the method provided by the present invention.

[0022] Figure 2 This is a flow chart for constructing a digital twin model of a liquid slip ring provided by the present invention.

[0023] Figure 3 This is a flowchart for updating the digital twin model of the liquid slip ring in operation and maintenance provided by the present invention. DETAILED DESCRIPTION

[0024] To make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the present invention. Obviously, the embodiments described are part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention. The following embodiments are used to illustrate the present invention, but are not used to limit the scope of the present invention.

[0025] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the embodiment of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0026] The following combination Figures 1 to 3 The present invention is further described in detail, and a method for operating and maintaining a liquid slip ring of a single-point mooring system based on digital twin technology is described as follows: In this embodiment, Figure 1 As shown, a single point mooring system liquid slip ring operation and maintenance method based on digital twin technology is provided, comprising the following steps: S1: Construct a virtual entity of the hydraulic slip ring based on the physical entity data of the hydraulic slip ring of the single point mooring system.

[0027] like Figure 2 As shown, by measuring and collecting various physical entity data of the liquid slip ring of the single point mooring system, the three-dimensional coordinate data, matching information data, and material data of the liquid slip ring are obtained, and a behavior model of the liquid slip ring during operation is established.

[0028] Specifically, the physical entity of the single-point mooring system slip ring is measured and collected. High-precision measurement tools (such as laser scanners, three-dimensional coordinate measuring machines, etc.) can be used to accurately measure the external contour, internal channel, sealing surface and other geometric features of the slip ring to obtain the three-dimensional coordinate data of the slip ring. The three-dimensional coordinate data can be used to construct the geometric model of the slip ring. Disassemble the slip ring, observe and record the matching information data such as the matching mode, gap size, fastening method, etc. between its components. This data can be used to determine the matching relationship between the structures. , and analyze the working mechanism of the liquid slip ring and build an accurate physical model. In order to ensure the accuracy and precision of the physical model construction, this embodiment tests the physical and chemical properties of the main materials of the liquid slip ring (such as metal shell, sealing material, lubrication conditions, etc.), including density, hardness, wear resistance, elastic modulus, thermal conductivity, corrosion resistance and other properties, to obtain material data In addition to the above test requirements, it is also necessary to establish a behavior model of the slip ring during operation according to the actual engineering conditions of the slip ring in the single point mooring system. Since the main function of the slip ring equipment is to ensure the smooth transmission of oil and gas during the relative rotation of the inner and outer rings, the behavior model of the slip ring is Mainly refers to the sealing performance of its internal spring energy storage seal.

[0029] After obtaining the 3D coordinate data, matching information data, material data and behavior model of the hydraulic slip ring, the 3D modeling software is used to construct the virtual entity of the hydraulic slip ring. The construction process of the virtual entity of the hydraulic slip ring is as follows: Use 3D modeling software to build geometric models based on 3D coordinate data Combined with the material data, the physical rule model of the liquid slip ring is constructed, including the physical properties of the material density, elastic modulus, thermal conductivity, and the interaction between the contact force, friction, and heat conduction of the simulated components. Combined with the matching information data, the matching relationship between the structures of each component is analyzed. Carry out characterization to obtain a preliminary virtual entity of the liquid slip ring.

[0030] After the initial construction of the hydraulic slip ring virtual entity, simple tests and simulation runs were performed to verify the accuracy of its geometric and physical models. Based on the verification results, the model was adjusted and optimized as necessary to ensure that it accurately reflects the characteristics of the physical hydraulic slip ring.

[0031] In the virtual environment, a virtual scene identical to the working environment of the slip ring is built to simulate external conditions such as liquid flow and pressure distribution. The initial hydraulic slip ring virtual entity is adjusted to obtain the hydraulic slip ring virtual entity. Specifically, physical rules are introduced into the established hydraulic slip ring virtual entity to determine the material model, contact parameters, boundary conditions and loads of the hydraulic slip ring virtual entity, and simulate the use of the hydraulic slip ring under actual working conditions.

[0032] According to the virtual entity load data of the hydraulic slip ring under the maximum load condition Upper limit of load threshold of physical structure of slip ring The size relationship is used to judge the working of the liquid slip ring. The judgment principle is: when When the hydraulic slip ring is abnormal; when When the hydraulic slip ring is working properly, it is determined that the hydraulic slip ring is working normally.

[0033] in, Refers to the calculated value under the specified maximum load condition. The maximum load condition includes the maximum speed, maximum medium pressure and maximum vibration load. Corresponding to the behavioral model, it is the load value when the spring energy storage seal inside the hydraulic slip ring does not leak, and is determined according to the specific model of the hydraulic slip ring of the single point mooring system.

[0034] If the slip ring does not work properly, it indicates that the initial virtual entity of the slip ring deviates from the physical entity. Adjustments to the initial virtual entity are required. The parameters to be adjusted include the geometric dimensions of the slip ring, material parameters (elastic modulus, Poisson's ratio, etc.), sealing medium viscosity, contact friction coefficient, meshing, etc., until the slip ring works properly and the virtual entity of the slip ring is obtained.

[0035] Liquid slip ring virtual entity It can be expressed as: in, Representing geometric models , material data , coordination relationship between structures , behavioral model Virtual entity with hydraulic slip ring The relationship function between them.

[0036] The above process involves multiple software such as ABAQUS and Sildworks. Python is used for batch processing and secondary development of ABAQUS, while MATLAB is used to build the behavioral model. MATLAB is used to establish a database between various software and languages ​​and to connect the various parts to complete the construction of the virtual entity of the liquid slip ring.

[0037] S2: According to the measured operation data of the hydraulic slip ring, the virtual entity of the hydraulic slip ring is adjusted to obtain the digital twin model of the hydraulic slip ring.

[0038] Based on the hydraulic slip ring virtual entity, contact properties, contact relationships, and contact surfaces are defined to simulate contact coordination based on the dynamic characteristics of the hydraulic slip ring. If discrepancies exist, the hydraulic slip ring virtual entity is further adjusted and optimized. Using the measured data as the objective function, the particle swarm algorithm is used to optimize the parameters of the hydraulic slip ring virtual entity.

[0039] To simulate the actual operating conditions of the hydraulic slip ring, a simulation environment was built to simulate various situations that the hydraulic slip ring may encounter during operation, such as startup, acceleration, deceleration, and shutdown, and to evaluate the sealing performance of the hydraulic slip ring spring seal. The sealing performance simulation process of the hydraulic slip ring spring energy storage seal is a strong fluid-solid coupling problem, and this example uses mixed lubrication theory for quantitative description. The calculation formula is as follows: in, represents the simulation framework of the mixed lubrication model, Indicates the internal fluid medium delivery pressure, Indicates the root clearance value of the liquid sliding ring seal, Indicates the rough peak radius of the sealing ring surface, Indicates the rotation speed of the slip ring, Indicates the surface roughness of the sealing ring. Indicates the sealing performance of the liquid slip ring spring seal, which is a function of the rotation torque. and leakage The sealing performance of the spring seal is given by and Jointly regulate the rotational torque. The rotational torque should be moderate. When the internal fluid delivery pressure is fixed, excessive rotational torque may be caused by factors such as a small clearance at the seal root or excessive surface roughness. Leakage is calculated using a hybrid lubrication model simulation framework. Leakage fluctuates with changes in the seal surface roughness peak radius, the rotational speed of the seal, and the seal surface roughness.

[0040] The sealing performance of a hydraulic slip ring spring seal is affected by multiple factors, including the form of the hydraulic slip ring, the seal selection, and the target operating conditions. Its specific value, a parameter to be optimized, requires continuous iteration between virtual entity data and actual operational data to obtain the final value. Specifically, based on the actual engineering application scenario, an initial value (internal fluid medium delivery pressure and hydraulic slip ring rotation speed) is given and substituted into the calculation as part of the input parameters of the hydraulic slip ring virtual entity model. The obtained simulation results are compared with the actual operational data. If the difference is too large, it indicates that the hydraulic slip ring virtual entity has a certain error and needs to be adjusted. After updating the parameters of the hydraulic slip ring virtual entity, they are substituted into the calculation again, ultimately making the simulation results and the actual operational data consistent, achieving successful model fitting.

[0041] The measured data includes rotational torque, leakage, internal fluid medium delivery pressure, and liquid slip ring rotation speed. The slip ring seal root gap value, seal ring surface roughness peak radius, and seal ring surface roughness are parameters that need to be adjusted for the liquid slip ring virtual entity. Based on the internal fluid medium delivery pressure and liquid slip ring rotation speed, the predicted rotational torque and predicted leakage are obtained through liquid slip ring virtual entity simulation. If the predicted rotational torque is not equal to the rotational torque, or the predicted leakage is not equal to the leakage, the slip ring seal root gap value, seal ring surface roughness peak radius, and seal ring surface roughness of the liquid slip ring virtual entity are adjusted, such as Figure 2 shown.

[0042] Measured operational data is obtained through sensors physically attached to the single-point mooring system's slip rings, including pressure sensors and speed sensors. The sensor installation locations are determined by the single-point mooring system model. To improve the accuracy and efficiency of data acquisition, sensors are placed at key measurement points where the required data can be accurately collected. For example, when collecting oil pressure data, the pressure sensor is placed on the inner side of the oil pipeline within the slip ring. To enhance the comprehensiveness of data collection, sensors are evenly distributed throughout the monitoring area. Multiple sensors are deployed in the same location to prevent single-point failures. They are also placed in locations unaffected by external interference factors such as electromagnetic interference and mechanical vibration to prevent environmental interference from affecting data collection.

[0043] There's a gap between the seal and the ring wall of a lubricating ring. This gap determines the thickness of the sealing oil film: When the sealing oil film is thicker, the probability of contact between the lubricating ring seal surface and the rough peaks of the ring wall is lower, resulting in lower rotational torque but higher leakage. When the sealing oil film is thinner, the stable transmission of the sealing medium is effectively guaranteed to avoid leakage, but the rough peaks are more likely to contact, resulting in higher rotational torque and increased wear.

[0044] The length of the sealing gap is defined as the x-axis, the oil film thickness as the y-axis, and the direction perpendicular to the length of the sealing gap and the oil film thickness as the z-axis. The sealing oil film thickness of the hydraulic slip ring spring accumulator seal is expressed using the Navier-Stokes equations. The Navier-Stokes equations are then simplified by combining a mixed lubrication model, ignoring body forces, inertial forces, eddies, turbulence, oil film curvature, and variations in liquid pressure and viscosity along the oil film thickness. The fluid velocity is assumed to be the same as the interface velocity; the sealing medium is a Newtonian fluid; and the translational velocity is used instead of the rotational velocity.

[0045] The oil film control equation of the liquid slip ring spring energy storage seal ring is calculated as follows: in, is the fluid pressure at the sealing gap, is the thickness of the oil film at the sealing gap, which is affected by the gap value at the root of the liquid sliding ring seal. is the dynamic viscosity of the sealing medium, is the relative rotation speed of the inner and outer rings.

[0046] According to the mixed lubrication theory, when the ratio of oil film thickness to surface roughness is less than 3, there must be contact between roughness peaks. According to the GREENWOOD-WILLIAMSON contact model, the contact stress between the sealing lip surface and the shaft is calculated. Assuming that all roughness peaks are purely elastic deformations and that the contact of each roughness peak is regarded as an independent Hertzian contact between a hemisphere with a radius of R and a plane, the contact stress is and contact area The calculation formula is: in, is the contact area The rough peak density on is the radius of the rough peak on the sealing ring surface, is the total contact area, is the total contact pressure, is the coordinate value in the z-axis direction.

[0047] is the probability density function of the roughness peak on the seal surface, and the formula is: in, is the standard deviation of the roughness height, is the standard deviation of the surface height; .

[0048] Standard deviation of roughness height and the standard deviation of the surface height It is to quantify the surface roughness of the seal ring from a statistical point of view Two parameters.

[0049] is the equivalent elastic modulus.

[0050] Frictional shear stress Calculation formula: ,in is the friction coefficient.

[0051] is the distance between the mean midline of the crest and the mean midline of the surface.

[0052] Shear deformation at any point in the computational domain The calculation formula is: in, is the deformation influence coefficient matrix, is the critical pressure, k represents the kth point within the domain, and m represents the total number of points within the domain. Shear deformation can alter the distribution of the seal gap or oil film thickness. Excessive shear deformation can lead to an increase in the seal gap or uneven oil film thickness, making it easier for fluid to leak through the gap, thereby increasing leakage. Shear deformation induces shear stresses. These shear stresses must be overcome during rotation of the hydraulic slip ring. Greater shear deformation often results in greater shear stresses, and the required rotational torque also increases.

[0053] Leakage for: , Rotational torque for: , in, is the width of the sealing ring.

[0054] This embodiment further obtains actual operation data from the hydraulic slip rings in normal and abnormal operation states, and further adjusts the virtual entity of the hydraulic slip ring.

[0055] First, select a batch of known, undamaged, high-quality, and properly functioning hydraulic slip rings of the same model. Randomly divide them into a number of groups equal to the number of independent variables required for the software input, ensuring that each group contains the same number of slip rings. These slip rings are then started up, with each group adjusting only for the same operating condition, such as speed. For each group, adjust the dependent variable for that group and measure the oil leakage data required by the software input and the data it should return, obtaining the relevant data. From these measured data, select the group with the most accurate measurements as the one indicating normal operation.

[0056] Secondly, a batch of liquid slip rings of the same model as the above liquid slip rings that are known to be undamaged, of good quality and in abnormal operating conditions are selected, and the above steps are repeated to obtain a data set of abnormal operating conditions.

[0057] Finally, input the independent variables in each data set of the normal operating status data group respectively, and obtain the dependent variable of the oil leakage amount returned by the software and the prompt of whether the operating status is normal. Compare the actual measured oil leakage amount with the oil leakage amount returned by the software. If the difference between the two is within the allowable error range and the prompt of normal operating status is returned, a more accurate output result is obtained. Otherwise, the result output by the software is inaccurate, and the compiled program needs to be further improved and adjusted. For the data group with abnormal operating status, perform the same operation as above. If the difference between the two is within the allowable error range and the prompt of abnormal operating status is returned, a more accurate output result is obtained. Otherwise, the result output by the software is inaccurate, and the compiled program needs to be further improved and adjusted.

[0058] S3: Operation and maintenance of the single point mooring system hydraulic slip ring based on the hydraulic slip ring digital twin model.

[0059] This embodiment is based on the digital twin model of the liquid slip ring and uses MATLAB language to develop software to build a liquid slip ring operation status detection system. Based on the five-dimensional model of the digital twin, the software integrates the digital twin model of the liquid slip ring and provides virtual entity interaction services based on the twin data, as well as the connection between each component. . The calculation formula is as follows: in, represents the relational function, It is the input and output function of the operating parameters related to the slip ring (leakage, torque, oil pressure, etc.). It is an alarm function when the operating status of the slip ring is abnormal. It provides real-time data connection between virtual entity and external entity slip ring. It is a liquid slip ring data recording module.

[0060] In addition, the hydraulic slip ring operation status detection system also realizes the visualization of the single-point mooring system hydraulic slip ring operation status, physical operation data, simulation results, and the display of the hydraulic slip ring operation status.

[0061] This embodiment acquires real-time operating data from the hydraulic slip ring of a single-point mooring system and inputs this data into a digital twin model of the slip ring. This data then determines the current sealing performance of the spring-energized seal ring. By comparing the current sealing performance of the spring-energized seal ring with the standard sealing performance, it is determined whether the spring-energized seal ring has experienced a leakage fault and the operating status of the slip ring is assessed. If the operating status of the slip ring is abnormal, an alarm is issued.

[0062] The judgment principle of this embodiment is: when When the spring energy storage seal ring is in good sealing performance, no leakage failure occurs; when When the spring energy storage seal ring is detected, it is determined that the seal fails and a leakage fault occurs; in, Indicates the current sealing performance of the hydraulic slip ring spring energy storage seal. Indicates standard sealing performance, Determined based on the actual single point mooring system slip ring used.

[0063] When a leakage fault occurs, it means that the operating status of the liquid slip ring is abnormal and an alarm is required.

[0064] As the slip rings of a single-point mooring system are used, operating conditions fluctuate, such as ring wear. This requires adjusting the slip ring digital twin model to synchronize it with the physical ring. This embodiment observes and records the operating status and performance of the slip rings during operation. This data is then compared with actual conditions to ensure that the error falls within a certain range. This data is then collected to prepare for further adjustments to the digital twin model.

[0065] like Figure 3 As shown, the digital twin model of the hydraulic slip ring in this embodiment is dynamically updated. During the operation and maintenance process, the real-time operation data collected by the physical entity sensors is collected and aggregated to the edge computing layer for residual detection. The digital twin model is run to generate corresponding predicted values, including predicted leakage and predicted rotation torque. The measured values ​​at the same time are read from the real-time operation data, including measured leakage and measured rotation torque. For the kth residual (residual at time k), the calculation formula is ,in, is the measured value of the kth item, is the predicted value of the kth time. And the residual samples obtained at the past N consecutive time points are compiled into the sequence , sample processing is performed at the edge computing layer to remove outliers in the samples. The principles for retaining data are as follows: ,in, is the residual mean, is the residual standard deviation. Assume that the number of retained data is n. Based on the retained data, define the objective function to optimize the parameters to be optimized. The parameters to be optimized include the surface roughness peak radius of the sealing ring , Sealing ring surface roughness , Liquid sliding ring seal root gap value , the objective function as follows: .

[0066] The particle swarm algorithm is used to find the optimal solution for the parameters to be optimized, and the digital twin model of the hydraulic slip ring is updated.

[0067] This embodiment dynamically synchronizes the digital twin model of the hydraulic slip ring with the physical entity, dynamically responds to operating condition fluctuations such as hydraulic slip ring wear, and provides precise support for predictive maintenance of the hydraulic slip ring.

[0068] Updating the digital twin model can be performed periodically or based on residual errors.

[0069] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A single point mooring system slip ring operation and maintenance method based on digital twin technology, characterized in that: The following steps are involved: S1: Construct a virtual entity of the slip ring based on the physical entity data of the slip ring of the single point mooring system; S2: According to the measured operation data of the hydraulic slip ring, the virtual entity of the hydraulic slip ring is adjusted to obtain the digital twin model of the hydraulic slip ring; S3: Operation and maintenance of the single point mooring system hydraulic slip ring based on the hydraulic slip ring digital twin model.

2. The single point mooring system liquid slip ring operation and maintenance method based on digital twin technology according to claim 1, characterized in that: The physical entity data of the single point mooring system slip ring includes three-dimensional coordinate data, matching information data, material data and behavior model.

3. The single point mooring system liquid slip ring operation and maintenance method based on digital twin technology according to claim 2, characterized in that: The construction process of the liquid slip ring virtual entity is as follows: Use 3D modeling software to obtain a preliminary virtual entity of the hydraulic slip ring based on 3D coordinate data, matching information data, and material data; The use of the hydraulic slip ring under actual working conditions is simulated, and the preliminary hydraulic slip ring virtual entity is adjusted based on the behavioral model to obtain the hydraulic slip ring virtual entity.

4. The method for operating and maintaining a single-point mooring system liquid slip ring based on digital twin technology according to claim 3, characterized in that: Simulate the use of the hydraulic slip ring under actual working conditions and adjust the preliminary hydraulic slip ring virtual entity based on the behavioral model. The specific process is as follows: In the virtual environment, a virtual scene identical to the working environment of the slip ring is built to simulate the external conditions of liquid flow and pressure distribution. According to the virtual entity load data of the slip ring under the maximum load condition, the Upper limit of load threshold of physical structure of slip ring Make a judgment, and the judgment principle is: when When the hydraulic slip ring is abnormal; when When , it is determined that the slip ring is working normally; If the slip ring works abnormally, the initial slip ring virtual entity needs to be adjusted; Corresponding to the behavioral model, it is the load value when the spring energy storage seal inside the liquid slip ring does not leak.

5. The single point mooring system liquid slip ring operation and maintenance method based on digital twin technology according to claim 1, characterized in that: The measured operation data include rotation torque, leakage, internal fluid medium delivery pressure and liquid slip ring rotation speed.

6. The single point mooring system liquid slip ring operation and maintenance method based on digital twin technology according to claim 5, characterized in that: According to the internal fluid medium delivery pressure and the rotation speed of the liquid slip ring, the predicted rotation torque and predicted leakage are obtained through the liquid slip ring virtual entity simulation. When the predicted rotation torque and predicted leakage are not equal to the rotation torque and leakage, the slip ring seal root gap value, the sealing ring surface roughness peak radius and the sealing ring surface roughness of the liquid slip ring virtual entity are adjusted.

7. The method for operating and maintaining a single-point mooring system liquid slip ring based on digital twin technology according to claim 6, characterized in that: The particle swarm optimization algorithm is used to adjust the slip ring seal root gap value, the seal ring surface roughness peak radius and the seal ring surface roughness of the liquid slip ring virtual entity.

8. The method for operating and maintaining a single-point mooring system liquid slip ring based on digital twin technology according to claim 1, characterized in that: In S3, the real-time operating data of the hydraulic slip ring of the single-point mooring system is obtained, and the real-time operating data is input into the digital twin model of the hydraulic slip ring to evaluate the operating status of the hydraulic slip ring.

9. The single point mooring system liquid slip ring operation and maintenance method based on digital twin technology according to claim 8, characterized in that: Input the real-time operation data into the digital twin model of the hydraulic slip ring to obtain the current sealing performance of the hydraulic slip ring spring energy storage seal and determine whether the spring energy storage seal has a leakage fault. The judgment principles are: when When , it is determined that no leakage fault occurs; when When , it is determined that a leakage fault occurs; in, Indicates the current sealing performance of the hydraulic slip ring spring energy storage seal. Indicates standard sealing performance.

10. The single point mooring system liquid slip ring operation and maintenance method based on digital twin technology according to claim 1, characterized in that: In S3, real-time operation data is collected, the digital twin model is run, the corresponding prediction value is generated, and the objective function is defined to optimize the parameters to be optimized; The parameters to be optimized include the rough peak radius of the sealing ring surface , Sealing ring surface roughness , Liquid sliding ring seal root gap value ; Optimize the objective function as follows: Where n is the number of data, is the measured value of the kth item, is the predicted value of the kth item.

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