Ship power system high-degree-of-freedom digital twin interaction method based on space intelligence

Abstract

The invention relates to a ship power system high-degree-of-freedom digital twin interaction method based on space intelligence. The method comprises the steps that S1, a power system digital twin driven by multi-source data is constructed; s2, building a high-fidelity three-dimensional model of ship power system space perception; s3, multi-degree-of-freedom dynamic space virtual-real interaction design is carried out; and S4, performing three-dimensional interaction driving and resource optimization management. Compared with a traditional power system two-dimensional monitoring means, the ship power system digital twinborn space intelligent interaction method system is based on multi-level high-fidelity three-dimensional modeling and digital twinborn construction, the system global situation mastering and equipment local state accurate sensing capacity is improved, and the ship power system digital twinborn space intelligent interaction method system has the advantages of being high in practicability and easy to popularize. The multi-degree-of-freedom dynamic interaction and three-dimensional visual virtual-real mapping capability of the system based on multi-source data driving is enhanced, and a three-dimensional interaction technical architecture with a digital twinborn body as a core is provided for operation and maintenance of a ship power system.

Description

Technical Field

[0001] The present invention relates to the technical field of ship power system operation and maintenance, and in particular to a high-degree-of-freedom digital twin interaction method for a ship power system based on spatial intelligence. Background Art

[0002] As the core of a ship, the power system's performance directly determines its maneuverability and vitality. Since ships sail far from land and are subject to high salt spray and fluctuating sea conditions, the operating environment is significantly complex. Furthermore, a ship's power system involves the coupled operation of multiple specialized equipment, including prime movers, auxiliary equipment, system pipelines, and power and electricity. This results in dense spatial distribution of equipment and hidden fault transmission paths. Therefore, its operational management requirements are far higher than those of other ship systems. The development of an operation and maintenance system platform is an effective way to accurately monitor complex power systems and their key equipment, and plays a decisive role in power equipment operation monitoring and maintenance management.

[0003] However, current ship power system operations and maintenance are still mostly based on two-dimensional configuration interfaces, making it difficult to accurately represent the three-dimensional spatial relationships and dynamic interaction states between devices, and there are obvious limitations. First, there is a lack of cross-level spatial modeling capabilities. The interaction dimension is limited to two-dimensional operations, which makes it impossible to simultaneously present system-level operating status and equipment-level detailed features, and it is difficult to support the system's multi-degree-of-freedom dynamic interaction. Second, the data-driven role is difficult to play, and there is a lack of dynamic correlation between real-time monitoring data and digital simulation models and three-dimensional equipment models. Therefore, the development of three-dimensional interactive drive design and digital twin construction for ship power system operations and maintenance based on spatial intelligence has become a key focus of power system operation and maintenance construction.

[0004] With the development of digital equipment, the construction of digital twins and three-dimensional interactive architectures based on spatial intelligence has become an urgent need for the operation and maintenance of ship power systems. It is necessary to break through key technologies such as multi-source data-driven digital twin construction, high-fidelity spatial modeling, dynamic virtual-reality interaction design, and three-dimensional interactive drive to achieve full-element, multi-level, and high-freedom interactive operation and maintenance control of complex ship power systems.

[0005] The information disclosed in this background technology section is only intended to deepen the understanding of the overall background technology of the present invention and should not be regarded as an admission or any form of suggestion that the information constitutes the prior art already known to those skilled in the art. Summary of the Invention

[0006] The purpose of the present invention is to provide a high-degree-of-freedom digital twin interaction method for a ship power system based on spatial intelligence to solve the technical problems existing in the prior art.

[0007] In order to achieve the above object, the present invention adopts the following technical solutions: A high-degree-of-freedom digital twin interaction method for a ship power system based on spatial intelligence, comprising: S1. Construction of digital twins of power systems driven by multi-source data; S2. Construction of a high-fidelity 3D model for spatial perception of the ship power system; S3, multi-degree-of-freedom dynamic space virtual-real interaction design; S4, three-dimensional interactive driving and resource optimization management.

[0008] Preferably, in step S1, multi-source data accumulated throughout the life cycle of the ship power system is collected, virtual-reality interactive development of the system digital twin and multi-source data processing are carried out, accurate dynamic association and real-time mapping between the system physical space and digital space are established, and the construction of the digital twin of the ship power system driven by multi-source data is realized.

[0009] Preferably, step S1 includes the following steps: S11, Virtual-Real Interaction Development of Digital Twins; S12. Multi-source data collection and processing.

[0010] Preferably, in step S2, based on the digital twin architecture of the ship power system constructed in step S1, the virtual-reality interaction interface developed in step S11 and the multi-source data collected and processed in step S12 are applied to construct a high-fidelity three-dimensional model of the power system. The constructed high-fidelity three-dimensional model of the power system serves as a mapping of the system's physical entity in the digital space, and receives and sends measured and simulated operation data in real time based on the virtual-reality interaction interface, and has high-precision dynamic association and real-time mapping capabilities.

[0011] Preferably, step S2 includes the following steps: S21. Cross-level model architecture system design; S22. Construction of three-dimensional models based on data and spatial perception.

[0012] Preferably, in step S3, a system model is designed that takes into account a dynamic interaction method of device perception, pattern matching, and smooth switching of spatial levels, so as to achieve system multi-device perception compatibility and smooth interaction across spatial levels, and meet the multi-degree-of-freedom dynamic space virtual-reality interaction performance requirements of complex power system operation and maintenance.

[0013] Preferably, step S3 includes the following steps: S31, device perception and pattern matching; S32, smooth switching of spatial levels.

[0014] Preferably, in step S4, a three-dimensional virtual-reality interaction driving strategy of the system is designed, fluid motion trajectory simulation and dynamic three-dimensional scene generation are developed, dynamic visualization of medium flow and intelligent fault warning response of the data-driven twin three-dimensional scene are realized, and three-dimensional visualization virtual-reality interaction of the digital twin of the ship power system is realized.

[0015] Preferably, step S4 includes the following steps: S41, 3D interactive driver development; S42. Spatial data flow optimization management.

[0016] By adopting the above technical solution, the present invention has the following beneficial effects: This invention establishes a spatial intelligent interaction method system for digital twins of power systems that balances system operation with local detail cognition. Compared to traditional two-dimensional power system operation interfaces, this invention enhances the system's ability to grasp global situational awareness and accurately perceive local equipment states based on virtual-to-real mapping. It also strengthens the digital twin's data-driven multi-degree-of-freedom dynamic interaction and three-dimensional visualization capabilities, providing a digital twin-centric intelligent interaction technology architecture for ship power system operation and maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for use in the specific 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.

[0018] Figure 1 A schematic diagram of a method flow chart provided in an embodiment of the present invention; Figure 2 Schematic diagram of the virtual-reality interaction architecture of the digital twin of a ship power system provided by an embodiment of the present invention; Figure 3 A flowchart of multi-source data acquisition and processing provided by an embodiment of the present invention; Figure 4 A diagram of the digital twin virtual-reality interactive communication architecture provided by an embodiment of the present invention; Figure 5 A diagram of the cross-level modeling system architecture provided by an embodiment of the present invention; Figure 6 A flow chart for designing high-fidelity spatial perception modeling provided by an embodiment of the present invention; Figure 7 A cross-level, high-fidelity, three-dimensional model architecture for hydraulic systems provided by an embodiment of the present invention; Figure 8A three-dimensional interactive fluid motion trajectory simulation effect diagram provided by an embodiment of the present invention; Figure 9 This is a three-dimensional interactive intelligent fault warning effect diagram of the power system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0019] The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0020] The following describes the specific embodiments of the present invention in detail with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only used to illustrate and explain the present invention and are not intended to limit the present invention.

[0021] Combine Figures 1 to 9 As shown, this embodiment provides a high-degree-of-freedom digital twin interaction method for a ship power system based on spatial intelligence, which includes: S1. Construction of digital twins of power systems driven by multi-source data; Collect multi-source data accumulated throughout the life cycle of the ship power system, carry out virtual-reality interactive development of the system digital twin and multi-source data processing, establish accurate dynamic association and real-time mapping between the system physical space and digital space, and realize the construction of the digital twin of the ship power system driven by multi-source data.

[0022] S11, Virtual-Real Interaction Development of Digital Twins; The essence of digital twin virtual-reality interaction is to inject measured data from physical tests into the system's digital simulation model, enabling data communication between the model and the physical object—in other words, virtual-reality interaction. This example develops a universal physical communication module based on the Modbus protocol to enable real-time communication between the physical test bench and the digital prototype of the ship's power system.

[0023] Constructing a virtual-real interactive communication architecture between the power system digital module and the physical test platform Figure 4 As shown in the figure, using the XML file as a bridge, the variables in the model are mapped to the PLC registers in the test bench. The read module is configured to read and save the variable information, which serves as the basis for the Modbus protocol module to read and write register addresses. The log module is used to record the log information of the call hardware information module, including the time, variable name, value, and error information.

[0024] Based on data interfaces and communication protocols, the collected system operation data such as temperature, pressure, flow, etc. are injected into the simulation model in real time and the simulation is driven synchronously to simulate the operation status of the real object, realize real-time interactive mapping between digital space and physical space, and comprehensively monitor the operation status of complex power systems.

[0025] S12, multi-source data collection and processing; A three-dimensional data collection network for complex power systems is constructed, achieving distributed data collection through sensor acquisition and simulation software calculations. The system's multi-source data can be divided into two categories: perception-layer data and simulation-layer data. Perception-layer data uses high-precision sensor equipment on the physical platform to collect signals from the system during operation, such as turbine speed, steam pressure, steam flow, lubricating oil pressure, lubricating oil temperature, valve opening, and equipment vibration frequency. Simulation-layer data is collected through a high-precision digital simulation model of the power system. The digital model and the physical platform run in real time to drive simulation, thereby collecting simulation data such as temperature, pressure, and flow during system operation.

[0026] Data preprocessing is carried out on the collected multi-source heterogeneous data. Jump data is identified based on the isolation forest algorithm, data outlier detection is carried out, missing values ​​are repaired using spatiotemporal interpolation, and multi-source data are normalized using the Min-Max normalization method.

[0027] Feature fusion, based on the unified method of spatiotemporal benchmarks, unifies the time axis and spatial matching related data to achieve multi-source data alignment and feature fusion enhancement.

[0028] Data storage uses a MySQL database for data storage and management. The storage layer is designed with data index optimization and query strategies in mind to support efficient access to large-scale data.

[0029] S2. Construction of a high-fidelity 3D model for spatial perception of the ship power system; Based on the digital twin architecture of the ship power system constructed in S1, the virtual-reality interaction interface developed in S11 and the multi-source data collected and processed by S12 were used to construct a high-fidelity 3D model of the power system. This 3D model, as a reflection of the system's physical entity in digital space, transmits and receives measured and simulated operation data in real time through the virtual-reality interaction interface, providing high-precision dynamic correlation and real-time mapping capabilities.

[0030] S21. Cross-level model architecture system design; In view of the fact that complex ship power systems usually present a multi-level physical architecture of "system-subsystem-equipment-component-parts", and in order to ensure the application requirements of high-precision three-dimensional models, a cross-level model architecture system for the power system is designed. By establishing a multi-level and multi-granularity model system, the organic unity of the model's macro layout and micro details is achieved.

[0031] Designed to build Figure 5 The four-level modeling architecture shown in the figure consists of "system topology layer - device cluster layer - individual device layer - component detail layer." Each layer is aligned with O&M requirements based on spatial scale. The design adheres to the principle of "O&M demand-driven, spatial scale-adaptive." The corresponding hierarchical model is dynamically invoked based on task types such as inspection, maintenance, and repair, balancing computational efficiency with detailed accuracy. By establishing a multi-level, multi-granular model architecture, accurate perception of component status is achieved, from overall system status control to detailed component status.

[0032] For a better understanding, let's take the "power system hydraulic system" as an example. First, we design a cross-level model architecture system for the hydraulic system. The specific construction content includes: The system topology layer uses a topology diagram to express the spatial position of each valve in the hydraulic system and the flow path of the oil and gas pipelines; At the equipment cluster layer, high-precision appearance modeling is performed on equipment groups such as fuel tanks, motors, and various control valve devices, and pipeline models are established for spatial connection; At the single device layer, precise geometric modeling is performed on control valves, proportional valves, reversing valves, relief valves, etc., showing their external and internal features; The parts detail layer goes deep into the fine internal modeling of key parts such as control valves, proportional valves, reversing valves, and relief valves.

[0033] Through the design and implementation of a cross-level three-dimensional model system, the system response speed is greatly improved, while ensuring that sufficient detailed information can be obtained in critical tasks.

[0034] S22, 3D model construction based on data and spatial perception; This embodiment uses the virtual-physical interaction of the digital twin constructed in step S1 to achieve system data communication and build a high-fidelity 3D model of the power system across multiple layers. Based on real-world data, such as system equipment design parameters, rated parameters, and historical data, the constructed 3D model accurately reproduces the geometry and physical state of the system equipment. The resulting 3D model possesses dynamic visualization and data representation capabilities based on the virtual-physical interaction of the digital twin.

[0035] At the same time, as a precise mapping of a physical system in digital space, the digital twin 3D model places high demands on the model's spatial perception capabilities. Therefore, it is necessary to further accurately express the spatial attributes and constraints of the 3D model and to develop a spatially intelligent power system attribute rule base to avoid the contradiction of "virtually feasible but not actually feasible" when the model is used for operation and maintenance simulation.

[0036] For a better understanding, we continue to use the "hydraulic system" as an example to describe the establishment of a semantic attribute database and spatial constraint rule library for hydraulic system equipment, realizing the transition from "geometric modeling" to "semantic modeling" for hydraulic systems, and building three-dimensional model spatial perception, dynamic optimization, and representation capabilities. Specifically, it is reflected in: (1) Semantic attribute modeling of hydraulic system Designed based on a three-layer architecture of geometric objects, functional components, and system space to support the construction of semantic attributes of hydraulic systems: Geometric objects: Assign precise spatial coordinates and size parameters to each device model element of the hydraulic system, which can be directly embedded into the model structure through parametric modeling technology, achieving the linkage effect of "modifying parameters means updating the model"; Functional components: define the functional attributes and interface relationships of each level of hydraulic system equipment, so that the model has "functional semantics" and can be used for parameter calculation and analysis in system simulation; System space: Unify the positions of various hydraulic system devices through global coordinates, establish "object-distance-rule" semantic associations, and use semantic network technology to express logical relationships between devices, such as "valve A controls the flow of pipe B", providing a knowledge basis for spatial reasoning in intelligent operation and maintenance.

[0037] (2) Spatial constraint rules for hydraulic systems Based on the actual design and operation and maintenance requirements of the hydraulic system, including safety distance constraints, operating space constraints, assembly constraints and flow constraints: Safety distance constraints: Based on national safety regulations and industry standards, establish minimum safety distance rules between hydraulic equipment; Operation space constraints: Define necessary operation space rules based on equipment maintenance operation requirements; Assembly constraints: Establish assembly constraint rules between parts during the hydraulic system installation process; Flow constraints: Based on the actual characteristics of the fluid in the hydraulic system pipeline, spatial constraints on the medium flow are established. Flow constraints are combined with fluid dynamics calculation models to optimize the hydraulic pipeline structure layout by simulating the medium flow state in a 3D model.

[0038] Finally, combined with the cross-level system architecture design in step S21, the following is constructed Figure 7 The cross-level, high-fidelity 3D hydraulic system model architecture shown in the figure achieves both global system status control and precise perception of component details, meeting the actual operation and maintenance requirements of complex power systems and providing a model architecture foundation for subsequent multi-degree-of-freedom interactive driving of the system's digital twin.

[0039] S3, multi-degree-of-freedom dynamic space virtual-real interaction design; In step S1, the communication architecture development and data interaction of the virtual-reality interaction of the digital twin of the power system are realized, and the construction of a high-fidelity three-dimensional model of the system is further completed in S2. Aiming at the further dynamic space multi-degree-of-freedom interaction requirements of the digital twin three-dimensional model, an embodiment of the present invention provides a method design that takes into account device perception, pattern matching and smooth switching of spatial levels, realizes the system multi-device perception compatibility and smooth interaction across spatial levels, and meets the multi-degree-of-freedom dynamic space virtual-reality interaction performance requirements of complex power system operation and maintenance.

[0040] S31. Device Perception and Pattern Matching By building a policy-based interaction logic management framework, the resulting digital twin interaction system supports multi-device interaction. The system automatically identifies various devices, including computers and motion controllers, dynamically switches interaction logic, and supports diverse interaction methods such as mouse dragging and gesture grabbing, achieving a consistent interaction experience across devices. This unified interaction strategy framework enhances cross-platform compatibility and improves the scalability and reusability of the power system's intelligent operation and maintenance architecture.

[0041] For a better understanding, we continue to use the "hydraulic system" as an example to describe the multi-degree-of-freedom dynamic space interactive feedback design constructed to ensure the continuity of interactive logic switching. According to the currently selected hydraulic system space level, provide adaptive visual feedback effects. For example, in the hydraulic system topology layer, you can view real-time parameter information by clicking various buttons or equipment icons; in the three-dimensional equipment cluster layer, design perspective control and equipment focus, you can zoom in and out of the model in the view, rotate 360 ​​degrees for multi-perspective observation, click "oil pump", "overflow valve" and other single equipment model borders to highlight; when switching from the single equipment level to the part detail layer, according to the dynamic feedback perspective, automatically and smoothly transition to the best observation position of the equipment, design equipment disassembly and assembly explosion view animation and operation guidance, and design dynamic space perspective memory and reset mechanism to enhance the immersion and operability of dynamic space interaction.

[0042] Preferably, embodiments of the present invention possess excellent scalability. The digital twin dynamic spatial interaction design, based on a policy model, facilitates the addition of new device types and interaction modes. Expansion can be accomplished simply by implementing the corresponding policy classes. This reserves technical interfaces for future integration with new interactive devices (such as VR headsets and AR glasses), providing scalable application space for complex power system operation and maintenance.

[0043] S32, smooth switching of spatial levels A technical solution combining layered camera management with interpolated animation is adopted. When switching between levels, a smooth transition animation is triggered through Unity's animation system, and the transition curve is adjusted with the easing function to make the viewpoint movement show a natural acceleration or deceleration effect. For the transition of spatial position, a navigation grid is introduced to assist in calculating the optimal path to avoid problems such as penetration or line of sight obstruction during camera movement. The smooth transition technology based on spatial hierarchy eliminates the abruptness of traditional interface switching and conforms to spatial cognitive habits. Users can more intuitively understand the relationship between system architecture and data hierarchy, reducing the cost of operational learning.

[0044] During the dynamic spatial interaction process of the hydraulic system, through spatial hierarchical visualization management, smooth viewpoint transition animation, and camera track animation to connect the levels, the hierarchical switching from the equipment cluster level to the single equipment level and then to the part detail level is intuitively displayed, and free navigation between different spatial scales is achieved, realizing the construction of a virtual-reality interactive interface with a spatial three-dimensional sense for complex power system equipment.

[0045] Preferably, the embodiment of the present invention uses asynchronous loading technology to pre-calculate the scene data of the next level, effectively controlling the resource consumption during the animation transition process, and maintaining smooth operation of more than 60 frames even in complex scenes, meeting the high-quality interactive performance requirements of real-time monitoring and operation and maintenance of the power system.

[0046] S4, three-dimensional interactive driving and resource optimization management.

[0047] Based on the development of the virtual-reality communication architecture and data interaction of the power system digital twin constructed in step S1, the construction of a high-fidelity three-dimensional model of the power system's spatial perception was completed through step S2. The dynamic spatial virtual-reality interaction design of the digital twin was further developed in S3. Aiming at the actual application scenarios of the equipment, this step carried out the development of the power system's three-dimensional interactive driving strategy and the optimization management of spatial data flow through the simulation of the system's fluid motion trajectory and the generation of dynamic three-dimensional scenes.

[0048] S41, 3D interactive driver development; S411, Fluid motion trajectory simulation Using a hybrid technology solution combining a GPU particle system and a physics engine, fluid particles are divided into several simulation units. Each unit uses a noise texture to control the flow rate and direction, simulating the basic flow trends of the medium within the pipeline. In key areas (such as valves and bends), the NVIDIA FleX physics engine is used to add eddy and turbulent effects, and fluid realism is enhanced by adjusting parameters such as viscosity and surface tension.

[0049] For a better understanding, we continue to use the "hydraulic system" as an example to describe it. By simulating the flow trajectory of the medium in the hydraulic system steam pipeline, we can achieve the following Figure 8As shown in the dynamic visualization effect, users can change the fluid trajectory in real time through interactive operations (such as adjusting the valve opening). The particle animation and fluid morphology are dynamically adjusted as the physical parameters change, realizing a three-dimensional multi-level display of the constructed digital twin of the power system from macroscopic flow trends to microscopic turbulence details.

[0050] Furthermore, by establishing a particle lifecycle management mechanism, simulation accuracy is automatically reduced when particles enter hidden areas of steam pipelines, and a recycling mechanism is triggered when particles leave the current viewing range, enabling particle reuse and reducing overhead. This embodiment of the present invention achieves fluid animation while maintaining physical realism while reducing performance consumption by over 40%. Compared to traditional CPU simulation solutions, it can support more than 10 times the number of particles, meeting the requirements for dynamic demonstrations of complex pipeline systems.

[0051] S412, Dynamic 3D Scene Generation Driven by real-time data from the digital twin of the S1 complex power system, an intelligent 3D fault warning mechanism was designed for the digital twin, enabling real-time fault response and dynamic interactive display. Event-driven warning sign generation enabled millisecond-level mapping of fault data to the 3D scene. Combined with pre-baked material technology, the generation time for a single sign was kept under 50ms, with spatial positioning error less than 0.5 grid units.

[0052] Taking the hydraulic system as an example, when an oil leakage fault occurs in the hydraulic system, the 3D model receives the digital twin fault data in real time, triggers the fault warning mechanism and generates corresponding warning signs in real time in the 3D space. Figure 9 The oil leak warning sign features multi-dimensional prompts such as dynamic color changes and flashing animations. Clicking the sign pops up a detailed fault data panel, enabling an intuitive connection between spatial location and data information. This provides powerful information support for the operation and maintenance of complex power systems and has important engineering application value.

[0053] S42, spatial data flow optimization management; Based on the spatial distribution and status of power system equipment, real-time adaptive resource management is implemented. Through quadtree partitioning and the SRP custom rendering pipeline, the present invention can automatically optimize the rendering accuracy of non-key areas while ensuring the details of key equipment, thereby ensuring the smoothness of the power system's three-dimensional interaction and the dynamic balance of visual effects.

[0054] During the spatial interaction of the digital twin of the "hydraulic system", the system's three-dimensional interactive scene rendering efficiency is improved by 30%-50%. It can still maintain a stable 60FPS in complex scenes and perspective and level switching of multi-level system equipment. The rendering resource allocation error of long and short distance devices is controlled within 5%, avoiding the problem of "blurred near and stuck far away" during system operation and maintenance monitoring.

[0055] Preferably, embodiments of the present invention feature data-driven scalability. By applying compute shaders and GPU-driven technologies, the system can efficiently process various real-time data stream drivers for digital twins. Simply modifying the data input interface allows adaptation to different types of digital twin scenarios, providing technical support for subsequent complex power system operations and maintenance, integrating more device types and data dimensions.

[0056] The present invention provides a high-degree-of-freedom digital twin interaction method for a ship power system based on spatial intelligence. This method utilizes key technologies such as multi-source data acquisition and processing, digital twin development, cross-level high-fidelity 3D modeling, high-degree-of-freedom dynamic space virtual-reality interaction design, and 3D interactive drive development. The implementation method is as follows: Multi-source data acquisition and processing and digital twin development, based on the physical test platform and digital simulation model acquisition system multi-source perception layer and simulation layer data, carry out data preprocessing, feature fusion and other operations, combined with the development of digital twin virtual-reality interaction general physical communication modules and interfaces, establish real-time mapping of physical space and digital space, and realize the construction of digital twins of ship power systems driven by multi-source data.

[0057] Cross-level, high-fidelity 3D modeling addresses the multi-layered physical architecture of complex ship propulsion systems (systems, subsystems, equipment, and components). A cross-level modeling system (system topology, equipment clusters, individual equipment, and component details) is designed and established. Each level is aligned with operational and maintenance requirements based on spatial scale. By establishing a multi-level, multi-granular modeling architecture, 3D model construction achieves an organic integration of macroscopic spatial layout and local detail cognition.

[0058] High-freedom dynamic space virtual-reality interaction design builds an interactive logic management framework and dynamic interactive feedback design based on strategy mode, supports system model perception compatibility expansion and dynamic interactive immersive operation; at the same time, through spatial hierarchy visualization management and asynchronous loading technology, realizes smooth switching of model space hierarchy, and meets the high-freedom dynamic virtual-reality interaction requirements of power system digital twin operation and maintenance.

[0059] 3D interactive drive development utilizes a hybrid technology solution combining a GPU particle system and a physics engine to simulate fluid motion and generate dynamic 3D scenes. Driven by real-time data from digital twins, this technology enables intuitive correlation between spatial position, data, and status information. Through real-time 3D interactive response and dynamic display, it effectively supports power system operation and maintenance decision-making.

[0060] As can be seen, the present invention builds a system of digital twin spatial intelligent interaction methods for ship power systems based on cross-level high-fidelity three-dimensional model construction, multi-source data-driven digital twin construction, multi-degree-of-freedom dynamic spatial virtual-reality interaction design, and three-dimensional interaction-driven development. Compared with traditional two-dimensional monitoring methods for power systems, the present invention, based on multi-level high-fidelity three-dimensional modeling and digital twin construction, improves the system's ability to grasp the global situation and accurately perceive the local status of equipment. It also enhances the system's multi-source data-driven multi-degree-of-freedom dynamic interaction and three-dimensional visualization virtual-reality mapping capabilities, providing a three-dimensional interactive technology architecture with digital twins as the core for ship power system operation and maintenance.

[0061] 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 above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A high-degree-of-freedom digital twin interaction method for a ship power system based on spatial intelligence, characterized in that: include: S1. Construction of digital twins of power systems driven by multi-source data; S2. Construction of a high-fidelity 3D model for spatial perception of the ship power system; S3, multi-degree-of-freedom dynamic space virtual-real interaction design; S4, three-dimensional interactive driving and resource optimization management.

2. The high-degree-of-freedom digital twin interaction method for a ship power system based on spatial intelligence according to claim 1 is characterized in that: In step S1, multi-source data accumulated throughout the life cycle of the ship power system is collected, virtual-reality interactive development of the system digital twin and multi-source data processing are carried out, accurate dynamic association and real-time mapping between the system physical space and digital space are established, and the construction of the digital twin of the ship power system driven by multi-source data is realized.

3. The high-degree-of-freedom digital twin interaction method for a ship power system based on spatial intelligence according to claim 2 is characterized in that: Step S1 includes the following steps: S11, Virtual-Real Interaction Development of Digital Twins; S12. Multi-source data collection and processing.

4. The high-degree-of-freedom digital twin interaction method for a ship power system based on spatial intelligence according to claim 1 is characterized in that: In step S2, based on the digital twin architecture of the ship power system constructed in step S1, the virtual-reality interaction interface developed in step S11 and the multi-source data collected and processed in step S12 are applied to construct a high-fidelity three-dimensional model of the power system. The constructed high-fidelity three-dimensional model of the power system serves as a mapping of the system's physical entity in the digital space, and receives and sends measured and simulated operation data in real time based on the virtual-reality interaction interface, with high-precision dynamic association and real-time mapping capabilities.

5. The high-degree-of-freedom digital twin interaction method for a ship power system based on spatial intelligence according to claim 1 is characterized in that: Step S2 includes the following steps: S21. Cross-level model architecture design, including: In response to the multi-level physical architecture of "system-subsystem-equipment-components" and the actual operation and maintenance requirements of complex ship power systems, a cross-level modeling system for complex power systems, covering the "system topology layer-equipment cluster layer-single equipment layer-part detail layer", was designed. By establishing a multi-level and multi-granular modeling system architecture, an organic integration of 3D model construction from macroscopic spatial layout to local detail cognition was achieved. S22. 3D model construction based on data and spatial perception, including: The high-fidelity three-dimensional model of complex power systems is constructed by establishing a semantic attribute database of equipment and a spatial constraint rule library, so that the three-dimensional model has spatial perception, dynamic optimization and representation capabilities.

6. The high-degree-of-freedom digital twin interaction method for a ship power system based on spatial intelligence according to claim 1 is characterized in that: Step S3 includes the following steps: S31. Device perception and pattern matching, including: Build an interactive logic management framework based on the policy model. The constructed digital twin interactive system supports multi-device compatible interaction. The system can automatically identify multiple terminal devices, dynamically switch the interactive logic, and support various interactive methods such as mouse dragging and gesture grabbing to achieve a consistent interactive experience across devices. S32, spatial level smooth switching, including: A technical solution combining layered camera management with interpolation animation is adopted. When switching between levels, smooth transition animation is triggered through Unity's animation system, and the transition curve is adjusted with the easing function to make the viewpoint movement show a natural acceleration or deceleration effect. For the transition of spatial position, a navigation grid is introduced to assist in calculating the optimal path to avoid problems such as penetration or line of sight occlusion during camera movement. The smooth transition technology based on spatial hierarchy eliminates the abruptness of traditional interface switching, conforms to spatial cognitive habits, and allows users to intuitively understand the relationship between system architecture and data hierarchy.

7. The high-degree-of-freedom digital twin interaction method for a ship power system based on spatial intelligence according to claim 1 is characterized in that: Step S4 includes the following steps: S41. 3D interactive driver development, including: S411, fluid motion trajectory simulation; S412, dynamic three-dimensional scene generation; S42, spatial data flow optimization management, including: through quadtree partitioning and SRP custom rendering pipeline, it is possible to automatically optimize the rendering accuracy of non-key areas while ensuring the details of key equipment, ensuring the smoothness of the three-dimensional interaction of the power system and the dynamic balance of visual effects.

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