Power transmission and transformation project three-dimensional design verification method and system based on digital twinning

Abstract

The invention provides a power transmission and transformation project three-dimensional design verification method and system based on digital twinning, and relates to the technical field of power transmission and transformation verification, and the method comprises the steps: carrying out the atomic-scale division of a power transmission and transformation project, and obtaining a plurality of atomic-scale sub-projects; performing multi-granularity engineering decomposition on the power transmission and transformation project to obtain H module-level sub-models and N system-level sub-models; carrying out atomic-scale multi-dimensional verification, and outputting an atomic-scale verification result; and according to a system-level verification result, updating an all-condition verification period of the power transmission and transformation project, and carrying out multi-level dynamic verification closed loop of the power transmission and transformation project. According to the method, the technical problem that the project operation reliability and stability are insufficient due to the fact that the power transmission and transformation project design verification is not comprehensive and accurate positioning cannot be achieved in the prior art is solved, multi-level accurate verification and dynamic optimization of the power transmission and transformation project model from the atomic level to the system level are achieved, and the reliability and stability of the power transmission and transformation project model are improved. And the operation reliability and stability of the power transmission and transformation project are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power transmission and transformation verification, and particularly to a three-dimensional design verification method and system for power transmission and transformation projects based on digital twins. Background Art

[0002] In the construction of power transmission and transformation projects, traditional design verification methods have many limitations. On the one hand, two-dimensional design drawings are difficult to intuitively present complex spatial relationships and equipment layouts, easily leading to design defects being discovered only in the construction stage, resulting in increased costs and project delays. On the other hand, existing verification means mostly rely on manual experience, lacking systematicness and accuracy, and it is difficult to comprehensively detect potential problems in aspects such as electrical performance and equipment compatibility.

[0003] In the prior art, there are technical problems such as incomplete design verification of power transmission and transformation projects, inability to accurately locate problems, resulting in insufficient reliability and stability of project operation. Summary of the Invention

[0004] This application provides a three-dimensional design verification method and system for power transmission and transformation projects based on digital twins, which are used to solve the technical problems in the prior art that the design verification of power transmission and transformation projects is incomplete and unable to accurately locate problems, resulting in insufficient reliability and stability of project operation.

[0005] In view of the above problems, this application provides a three-dimensional design verification method and system for power transmission and transformation projects based on digital twins.

[0006] In the first aspect of this application, a three-dimensional design verification method for power transmission and transformation projects based on digital twins is provided. The method includes:

[0007] According to the three-dimensional design model of the project, the power transmission and transformation project is divided at the atomic level to obtain multiple atomic-level sub-projects; multiple atomic-level sub-models of the multiple atomic-level sub-projects are constructed through multi-dimensional twin modeling mapping; the power transmission and transformation project is decomposed at multiple granularities, and multi-granularity hierarchical aggregation of the multiple atomic-level sub-models is performed according to the decomposition result to obtain H module-level sub-models and N system-level sub-models; atomic-level multi-dimensional verification is performed on the multiple atomic-level sub-models, and an atomic-level verification result is output; if the atomic-level verification result is set to 1, then timing and space collaborative verification is performed on the H module-level sub-models, and a module-level verification result is output; if the module-level verification result is set to 1, then multi-condition dynamic simulation verification is performed on the N system-level sub-models, and a system-level verification result is output; the full-condition verification cycle of the power transmission and transformation project is updated according to the system-level verification result, and a multi-level dynamic verification closed-loop of the power transmission and transformation project is performed based on the full-condition verification cycle.

[0008] In the second aspect of this application, a three-dimensional design verification system for power transmission and transformation projects based on digital twins is provided. The system includes:

[0009] The engineering initial division module is used to perform atomic-level division on the power transmission and transformation project according to the engineering 3D design model, obtaining multiple atomic-level sub-projects; the twin model construction module is used to construct multiple atomic-level sub-models of the multiple atomic-level sub-projects through multi-dimensional twin modeling mapping; the model aggregation execution module is used to perform multi-granularity engineering decomposition on the power transmission and transformation project, and perform multi-granularity hierarchical aggregation on the multiple atomic-level sub-models according to the decomposition result, obtaining H module-level sub-models and N system-level sub-models; the twin verification execution module is used to perform atomic-level multi-dimensional verification on the multiple atomic-level sub-models, and output the atomic-level verification result; the collaborative verification execution module is used to, if the atomic-level verification result is set to 1, perform time-sequence space collaborative verification on the H module-level sub-models, and output the module-level verification result; the working condition verification execution module is used to, if the module-level verification result is set to 1, perform multi-working condition dynamic simulation verification on the N system-level sub-models, and output the system-level verification result; the closed-loop verification processing module is used to update the full working condition verification cycle of the power transmission and transformation project according to the system-level verification result, and perform multi-level dynamic verification closed-loop of the power transmission and transformation project based on the full working condition verification cycle.

[0010] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0011] Perform atomic-level division on the power transmission and transformation project according to the engineering 3D design model, obtaining multiple atomic-level sub-projects; construct multiple atomic-level sub-models of the multiple atomic-level sub-projects through multi-dimensional twin modeling mapping; perform multi-granularity engineering decomposition on the power transmission and transformation project, and perform multi-granularity hierarchical aggregation on the multiple atomic-level sub-models, obtaining H module-level sub-models and N system-level sub-models; perform atomic-level multi-dimensional verification, and output the atomic-level verification result; if the atomic-level verification result is set to 1, perform time-sequence space collaborative verification, and output the module-level verification result; if the module-level verification result is set to 1, perform multi-working condition dynamic simulation verification, and output the system-level verification result; update the full working condition verification cycle of the power transmission and transformation project, and perform multi-level dynamic verification closed-loop of the power transmission and transformation project. It achieves the technical effect of multi-level precise verification and dynamic optimization of the power transmission and transformation project model from the atomic level to the system level, improving the reliability and stability of the operation of the power transmission and transformation project. Description of the Drawings

[0012] Figure 1 It is a schematic flowchart of the 3D design verification method for power transmission and transformation projects based on digital twin provided in this application.

[0013] Figure 2 It is a schematic structural diagram of the 3D design verification system for power transmission and transformation projects based on digital twin provided in this application.

[0014] Description of the drawing reference numerals: Engineering initial division module 11, twin model construction module 12, model aggregation execution module 13, twin verification execution module 14, collaborative verification execution module 15, working condition verification execution module 16, closed-loop verification processing module 17. Detailed implementation manners

[0015] The present application provides a three-dimensional design verification method and system for a power transmission and transformation project based on digital twins, which are used to solve the technical problems in the prior art that the design verification of the power transmission and transformation project is not comprehensive and the problem cannot be accurately located, resulting in insufficient reliability and stability of the project operation.

[0016] Next, the technical solutions in the present invention will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments of the present invention. It should be understood that the present invention is not limited by the exemplary embodiments described herein. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of the present invention. In addition, it should be noted that, for the sake of description, only the parts related to the present invention are shown in the accompanying drawings rather than all.

[0017] Embodiment 1, as Figure 1 shown, the present application provides a three-dimensional design verification method for a power transmission and transformation project based on digital twins, and the method includes:

[0018] Step S100: According to the three-dimensional engineering design model, perform atomic-level division on the power transmission and transformation project to obtain a plurality of atomic-level sub-projects.

[0019] Specifically, based on the functional independence of the equipment, a preliminary division of the engineering 3D design model is carried out, and the power transmission and transformation project is disassembled into multiple initial engineering equipment, which lays the foundation for subsequent precise analysis. Then, the electrical main connection topology is extracted from the engineering 3D design model. Regarding multiple initial engineering equipment as network nodes, connection edges are constructed according to the electrical main connection topology, thus completing the construction of the equipment electrical association topology. After that, a power transmission and transformation fault point is preset. Starting from this fault point, the fault conduction path is calculated in the constructed equipment electrical association topology, and K key fault conduction paths are obtained. Then, based on these K key fault conduction paths, a fault impact analysis is carried out on multiple initial engineering equipment. The specific operation is to perform fault evolution fitting on the K key fault conduction paths to obtain multiple groups of single-path fault impact weights of multiple initial engineering equipment; construct an equipment-path association matrix based on the initial engineering equipment and the key fault conduction paths, and use multiple groups of single-path fault impact weights to fill the matrix data; perform global weight calculation in the equipment-path association matrix to obtain multiple cross-path weight characteristics of multiple initial engineering equipment. Finally, taking the weight fluctuation scale and the cluster number scale as the double-scale clustering constraint conditions, engineering equipment aggregation is carried out based on multiple cross-path weight characteristics to obtain multiple engineering equipment clusters, and these engineering equipment clusters serve as multiple atomic-level sub-projects. In addition, it is also necessary to extract the electrical connection topology from the engineering 3D design model, and perform electrical connection analysis on multiple atomic-level sub-projects according to this topology to obtain multiple atomic-level engineering connection identifiers. Through this series of rigorous operation processes, the complex power transmission and transformation project is accurately divided into multiple atomic-level sub-projects.

[0020] Step S200: Construct multiple atomic-level sub-models of the multiple atomic-level sub-projects through multi-dimensional twin modeling mapping.

[0021] Specifically, an atomic-level sub-model is constructed by means of multi-dimensional digital twin modeling and mapping technology. Starting from the geometric dimension, referring to the shape, size, spatial layout, etc. of each device within the atomic-level sub-project in the engineering 3D design model, 3D modeling technology is used to accurately reproduce the geometric shapes of each device and their spatial relationships, ensuring that the geometric structure of the sub-model is highly consistent with the actual atomic-level sub-project. For example, the geometric features of devices such as poles and insulators are accurately presented in the model. From the electrical dimension, based on the extracted electrical connection topology and atomic-level project connection identifiers, combined with the electrical design principles and specifications of the power transmission and transformation project, an electrical model is constructed that can accurately reflect the electrical connection method, current flow direction, voltage distribution, and performance parameters of electrical devices (such as resistance, inductance, capacitance, etc.), so as to simulate the electrical operating characteristics of the atomic-level sub-project and provide a basis for subsequent electrical compliance verification and electrical connectivity verification. From the operating dimension, historical operating data of the devices in the atomic-level sub-project and predicted data under different working conditions are collected, the changes in operating parameters of the devices under different conditions, such as temperature, pressure, load, etc., are analyzed, and a dynamic operating model is established. For example, by analyzing the oil temperature and winding temperature change laws of a transformer under different load conditions, its operating state is simulated in the atomic-level sub-model to predict potential failure risks. By integrating model information from multiple dimensions such as geometry, electricity, and operation, atomic-level sub-models corresponding to each atomic-level sub-project are formed.

[0022] Step S300: Perform multi-granularity engineering decomposition on the power transmission and transformation project, and perform multi-granularity hierarchical aggregation of the multiple atomic-level sub-models according to the decomposition results to obtain H module-level sub-models and N system-level sub-models.

[0023] Specifically, after completing the division of atomic-level sub-projects and the construction of atomic-level sub-models, perform multi-granularity engineering decomposition on the power transmission and transformation project and perform multi-granularity hierarchical aggregation on the atomic-level sub-models. First, perform module-level division. Based on the composition of typical module devices, divide the power transmission and transformation project to obtain multiple initial module-level sub-projects. Then locally call the association rule library and use it and the multiple atomic-level sub-models as aggregation conditions. According to the atomic-level sub-models, perform equipment overlap analysis on the initial module-level sub-projects to complete the first round of aggregation to obtain R associated module-level sub-projects. Then use multiple initial project devices to traverse the association rule library, call the reference association relationship of the devices, and perform the second round of aggregation to obtain H module-level sub-projects. After that, based on these module-level sub-projects, further aggregate the atomic-level sub-models through electrical connections to finally form H module-level sub-models. At the system level, perform system-level division on the power transmission and transformation project. According to the multi-level verification mechanism, integrate the H module-level sub-models obtained above. During the integration process, comprehensively consider the interaction relationships, functional collaboration, and roles in the entire power transmission and transformation system among the module-level sub-models to obtain N system-level sub-models.

[0024] Step S400: Perform atomic-level multi-dimensional verification on the multiple atomic-level sub-models and output the atomic-level verification result.

[0025] Specifically, the atomic-level multi-dimensional verification includes geometric dimension verification of hierarchical activation, electrical compliance verification, and electrical connectivity verification. The geometric dimension verification of hierarchical activation checks, from the whole to the part, whether the shape, size, spatial position of the equipment and the layout relationship between them meet the design requirements according to the geometric parameters of the equipment in the atomic-level sub-model and the design specifications. For example, accurately check geometric information such as the height of the tower and the installation angle of the insulator to determine whether it is consistent with the design drawings, ensuring that the geometric structure of the equipment does not affect subsequent installation, operation, and maintenance. The electrical compliance verification mainly focuses on the electrical part in the atomic-level sub-model, and carefully verifies the selection, parameter settings, and operating characteristics of electrical equipment according to electrical design standards and specifications. For example, check whether the capacity and voltage level of the transformer meet the actual requirements of the power transmission and transformation project, ensuring that the selected electrical equipment can meet the project operation requirements in terms of performance, and at the same time avoiding potential safety hazards caused by mismatched electrical parameters. The electrical connectivity verification focuses on the correctness and integrity of the electrical connections in the atomic-level sub-model. According to the atomic-level engineering connection identification and electrical connection topology, verify whether the connections between electrical equipment meet the design intent and whether there are problems such as open circuits and short circuits. For example, check whether the connection points between transmission lines and equipment such as towers and transformers are stable and correct, ensuring that the current can be transmitted stably along the designed path and avoiding failures caused by electrical connectivity problems. After this series of multi-dimensional verifications, the atomic-level verification result is output by synthesizing the results of each verification. If the atomic-level sub-model meets the design requirements in terms of geometric dimension, electrical compliance, and electrical connectivity, the atomic-level verification result is set to 1; otherwise, as long as one verification fails, the atomic-level verification result is set to 0. The atomic-level verification result provides an important basis for subsequent verification steps. If the result is set to 1, the module-level sub-model will continue to be verified; if the result is set to 0, the atomic-level sub-engineering design corresponding to the atomic-level sub-model needs to be adjusted and optimized to ensure the design quality of the entire power transmission and transformation project.

[0026] Step S500: If the atomic-level verification result is set to 1, perform timing and space collaborative verification on the H module-level sub-models and output the module-level verification result.

[0027] Specifically, when the atomic-level verification result is set to 1, that is, after multiple atomic-level sub-projects are all verified successfully, perform time-sequence and space collaborative verification on the H module-level sub-models, and then output the module-level verification result. First, from the time dimension, simulate the state changes of the power transmission and transformation project at different operation times, such as the changes in the operation parameters of each device in the module-level sub-model during peak and off-peak electricity consumption periods, such as current, voltage, power, etc. By analyzing the fluctuations of these parameters over time, check whether the operation of the devices in the module-level sub-model remains stable and coordinated in the time series, and whether abnormal situations will occur due to time changes, such as overloading or underloading of devices. From the space dimension, pay attention to the layout and interaction relationships of each device in the module-level sub-model in three-dimensional space. Check whether the spatial distances between different devices meet the safety specifications, and whether problems such as electromagnetic interference and poor heat dissipation will occur due to unreasonable spatial layout. For example, check whether the distance between the transformer and other electrical devices is sufficient to avoid electromagnetic induction interference with the normal operation of the devices due to too close space. When performing time-sequence and space collaborative verification, consider the factors of the time dimension and the space dimension together, simulate the comprehensive impact of the spatial layout on the device operation at different time points, and the feedback effect of the change in the device operation state on the space environment. For example, during high-temperature periods, due to the increased heat dissipation requirements of the devices, whether the spatial layout of the devices at this time will affect the heat dissipation effect, and further affect the normal operation time and performance of the devices. Through comprehensive time-sequence and space collaborative verification, evaluate the operation states of the H module-level sub-models and output the module-level verification result. If all module-level sub-models are normal in terms of time-sequence and space and meet the design requirements, the module-level verification result is set to 1; otherwise, as long as there is a problem with one module-level sub-model in terms of time-sequence or space, the module-level verification result is set to 0. The module-level verification result will provide a key basis for whether to verify the system-level sub-model in the follow-up. If it is set to 1, further verification work will be carried out on the system-level sub-model. If it is set to 0, the design involved in the corresponding module-level sub-model needs to be adjusted and optimized to ensure the overall design quality and operation reliability of the power transmission and transformation project.

[0028] Step S600: If the module-level verification result is set to 1, perform multi-condition dynamic simulation verification on the N system-level sub-models and output the system-level verification result.

[0029] Specifically, with the help of power system simulation software, such as DIgSILENT, PSCAD, etc., multi-condition dynamic simulation verification is carried out on N system-level sub-models. First, for different operating conditions, corresponding parameters are set in the software. For example, for the normal operating condition, parameters such as voltage, current, and power are set according to the design rated values; when simulating the overload condition, parameters such as current and power are increased by a certain proportion to test the performance of the system under overload. For the short-circuit condition, a short-circuit fault is set at specific line nodes to change the electrical connection characteristics; when simulating the lightning strike condition, the lightning strike current waveform is injected at specific positions of the tower or line using the lightning impulse module in the software. After setting the condition parameters, the solver of the simulation software is used to perform numerical calculations on the system-level sub-models. The solver will solve the circuit equations according to the electrical parameters, topological structure of each device in the sub-model, and the set condition conditions, and simulate the dynamic change process of current and voltage in the entire power transmission and transformation system. During the simulation process, through the monitoring function of the software, the operation data of key devices in the system-level sub-models are collected in real time, such as the oil temperature, winding temperature, active power, and reactive power of the transformer, the current and voltage losses of the transmission line, etc., as well as the overall performance indicators of the system, such as frequency stability, voltage fluctuation range, power balance, etc. After the simulation is completed, the collected data is analyzed according to the pre-set evaluation criteria. If the operation parameters of key devices are within the safe range under various conditions for all system-level sub-models, and the overall performance indicators of the system meet the design specification requirements, such as voltage fluctuation within the allowable range, frequency stable near the specified value, normal power transmission, etc., then the system-level verification result is set to 1; if any one of the sub-models shows abnormal conditions such as equipment parameter exceeding the limit or system instability under a certain condition, such as too high oil temperature of the transformer, line overload tripping, system voltage collapse, etc., then the system-level verification result is set to 0. Through such specific implementation means, the multi-condition dynamic simulation verification of N system-level sub-models is completed, and an accurate system-level verification result is output, providing strong support for the reliability assessment of the power transmission and transformation project design.

[0030] Step S700: Update the full-condition verification cycle of the power transmission and transformation project according to the system-level verification result, and perform a multi-level dynamic verification closed-loop of the power transmission and transformation project based on the full-condition verification cycle.

[0031] Specifically, the full-condition verification cycle of the power transmission and transformation project is updated based on the system-level verification results, and a multi-level dynamic verification closed-loop work is carried out. If the system-level verification result is set to 1, it means that under the current design of the power transmission and transformation project, through multi-condition dynamic simulation verification, each system-level sub-model can operate stably and reliably and meet the design requirements. At this time, the full-condition verification cycle is appropriately extended to reduce unnecessary verification frequencies, improve work efficiency, and continuously monitor the project operation status to ensure long-term stable operation. If the system-level verification result is set to 0, it indicates that there are problems in the design, and the full-condition verification cycle needs to be shortened and the verification frequency increased. For example, when it is found that a certain system-level sub-model has abnormal situations such as equipment damage or system collapse under lightning strike conditions, the cycle needs to be shortened to timely discover potential problems and reduce risks. After updating the full-condition verification cycle, enter the multi-level dynamic verification closed-loop. Starting from the atomic level, again based on the engineering three-dimensional design model, the power transmission and transformation project is divided at the atomic level, and the atomic-level sub-models are reconstructed. Check the geometric dimensions, electrical compliance, and electrical connectivity of the atomic-level sub-models to ensure that the design at the atomic level is accurate. Then, perform module-level verification. Aggregate the atomic-level sub-models at multiple granularity levels to obtain module-level sub-models, and then perform time-sequence space collaborative verification to analyze the collaborative operation situation between modules. Finally, perform system-level verification. Again, perform multi-condition dynamic simulation verification on the system-level sub-models, simulate various operating conditions, and check the overall performance of the system. Repeat this cycle continuously to optimize the design, ensure the accuracy, reliability, and safety of the power transmission and transformation project design, and ensure the stable operation of the power system.

[0032] In a possible implementation manner, step S300 further includes:

[0033] Step S310: Divide the power transmission and transformation project at the module level, and dynamically aggregate the multiple atomic-level sub-models according to the association rule library and the module-level division result to obtain H module-level sub-models.

[0034] Step S320: Divide the power transmission and transformation project at the system level, and integrate the H module-level sub-models according to the multi-level verification mechanism and the system-level division result to obtain N system-level sub-models.

[0035] Specifically, the power transmission and transformation project is first divided at the module level based on the typical modular equipment composition. For example, based on the different types of equipment and their functions, such as transformers, transmission lines, and switchgear, the power transmission and transformation project is divided into multiple initial module-level sub-projects. Next, the association rule base is locally invoked, which stores various associations and constraints between devices. Using these rules and multiple atomic-level sub-models as aggregation conditions, the initial module-level sub-projects are dually clustered. First, an equipment overlap analysis is performed on multiple initial module-level sub-projects based on the atomic-level sub-models. Initial module-level sub-projects with similar equipment composition and related functions are clustered together to obtain R associated module-level sub-projects. Then, the association rule base is locally invoked using multiple initial project equipment to invoke multiple equipment baseline associations. The R associated module-level sub-projects are further clustered, outputting H module-level sub-projects. Finally, based on these H module-level sub-projects, multiple atomic-level sub-models are further aggregated using electrical connection relationships. This ensures that each module-level sub-model not only contains a collection of related devices but also accurately reflects the electrical connection relationships between them, resulting in H complete module-level sub-models. These module-level sub-models reflect the characteristics of the power transmission and transformation project from the perspective of local modules, laying the foundation for subsequent verification of the collaborative work and overall performance between modules.

[0036] Based on the module-level submodels, a system-level submodel is constructed. When performing system-level division of the power transmission and transformation project, the overall project functionality, operational logic, and interrelationships between modules are comprehensively considered. For example, the power transmission process, voltage level distribution, and other factors are used to divide the power transmission and transformation project into different system levels. Then, based on a multi-level verification mechanism that incorporates verification rules and experience from the atomic to the module level, H module-level submodels are integrated. During this integration process, the position, role, and interaction of each module-level submodel within the system are fully considered. For example, the power transmission and signal transmission relationships between different module-level submodels are analyzed to ensure that the various module-level submodels can work together to achieve the overall functionality of the power transmission and transformation project. In this way, the H module-level submodels are integrated into N system-level submodels. These system-level submodels present the entire power transmission and transformation project from a macroscopic system perspective, providing higher-level model support for comprehensive verification of the project's operational performance under different operating conditions.

[0037] In one possible implementation, step S500 further includes:

[0038] Step S510: Perform temporal-space collaborative verification on the H module-level sub-models, and output H twin model verification results.

[0039] Step S520: If any of the H twin model verification results is set to 0, the module-level verification result is set to 0.

[0040] Step S530: When the module-level verification result is set to 0, locate the P module-level sub-models with the twin model verification result set to 1.

[0041] Step S540: Screen the N system-level sub-models based on the P module-level sub-models to obtain L system-level sub-models.

[0042] Step S550: Perform multi-condition dynamic simulation verification on the L system-level sub-models and output the local verification result.

[0043] Specifically, perform time-sequence and space collaborative verification on H module-level sub-models. Simulate the situations of different operation periods of the power transmission and transformation project from the time dimension, such as peak and valley periods of electricity consumption, and monitor the changes in the operating parameters of the equipment in each module-level sub-model over time, such as the fluctuations of indicators like current, voltage, and power. In the space dimension, check whether the spatial layout of the equipment in each module-level sub-model is reasonable, and whether there are problems such as electromagnetic interference and poor heat dissipation caused by improper spatial positions. Considering both time and space factors, comprehensively evaluate the operating status of each module-level sub-model, and finally output H twin model verification results.

[0044] After completing the time-sequence and space collaborative verification of the H module-level sub-models and obtaining the H twin model verification results, check these results one by one. Since each module-level sub-model plays an indispensable role in the overall design system of the power transmission and transformation project, any problem with a module may affect the overall performance and safe and stable operation of the project. As long as one of the H twin model verification results is 0, it means that the corresponding module-level sub-model does not meet the design requirements in terms of time sequence or space dimension, such as the operating parameters of the equipment exceeding the safe range at a specific time, or electromagnetic interference caused by the spatial layout of the equipment. Based on this, directly set the module-level verification result to 0, indicating that the current module-level design has defects and cannot pass the verification.

[0045] When it is determined that the module-level verification result is set to 0, comprehensively sort out and locate the twin model verification results of the H module-level sub-models. According to the preset verification result storage and marking rules, traverse the data set of the H twin model verification results. In the verification results, 1 represents that the module-level sub-model performs normally in the time-sequence and space collaborative verification and meets the design requirements; 0 indicates that there are problems. Through a data retrieval algorithm, accurately identify the module-level sub-models with the verification result of 1, count their number, and mark these module-level sub-models with the verification result set to 1 as P. These P module-level sub-models show good performance in the time-sequence and space collaborative verification, providing a key reference basis for subsequent verification and design optimization.

[0046] After P module-level sub-models with the twin model verification result set to 1 are located, based on these P well-performing module-level sub-models, a comprehensive module coverage screening is performed on N system-level sub-models. Extract the key information such as devices, functions, and connection relationships contained in the P module-level sub-models, and then compare and analyze them with the N system-level sub-models one by one. During the comparison process, focus on whether the relevant content of the P module-level sub-models is completely covered in the system-level sub-models, that is, check whether the system-level sub-models contain various devices in these module-level sub-models and their corresponding connection relationships, and whether they can implement the corresponding functions. Only those system-level sub-models that can completely cover the key information of the P module-level sub-models will be screened out, and finally L system-level sub-models are obtained. These L system-level sub-models inherit the advantages of the P module-level sub-models to a certain extent, provide a more reliable object for subsequent multi-condition dynamic simulation verification, help to more accurately evaluate the overall performance of the power transmission and transformation project under normal conditions of local modules, and provide strong support for design optimization.

[0047] After screening the system-level submodels to obtain L system-level submodels, local verification results are output through multi-condition dynamic simulation verification. With the help of simulation software, the operating states of the power transmission and transformation project under various different conditions are simulated. These conditions include both the rated load condition during normal operation and abnormal fault conditions such as overload, short circuit, and lightning strike. At the same time, different environmental conditions such as high temperature, low temperature, high humidity, and strong wind are also considered. For each condition, corresponding parameters are set for the L system-level submodels. For example, in the overload condition, parameters such as current and power are increased to simulate the situation where the load exceeds the rated value; in the short-circuit condition, the electrical connection topology is modified to simulate the line short-circuit fault; for the lightning strike condition, a lightning strike current waveform is injected at a specific location. During the simulation operation, the operating parameters of key equipment in each system-level submodel are monitored in real time, such as the oil temperature, winding temperature, active power, and reactive power of the transformer, as well as the current and voltage losses of the transmission line. At the same time, the overall performance indicators of the system are also concerned, such as frequency stability, voltage fluctuation range, power balance, etc. After the simulation is completed, the collected data is deeply analyzed according to the pre-set evaluation criteria. If the operating parameters of the key equipment of the L system-level submodels remain within the safe range under various simulated conditions, and the overall performance indicators of the system also meet the design specification requirements, such as the voltage fluctuation is within the allowable range, the frequency is stable near the specified value, and the power transmission is normal, etc., then the local verification result is determined to pass; otherwise, as long as any one of the system-level submodels shows abnormal situations such as equipment parameter over-limit and system instability under a certain condition, such as the transformer oil temperature being too high and alarming, the line being overloaded and tripping, the system voltage collapsing, etc., the local verification result is not passed. Through such a multi-condition dynamic simulation verification process, the output local verification result can intuitively reflect the operating reliability of this part of the system-level submodels under different conditions, providing an important basis for the local optimization of the power transmission and transformation project design.

[0048] In a possible implementation manner, step S100 further includes:

[0049] Step S110: Based on the equipment functional independence, perform a preliminary division of the engineering 3D design model to obtain multiple initial engineering equipment.

[0050] Step S120: Perform an analysis of the associated operating faults of the multiple initial engineering equipment, and perform equipment aggregation according to the analysis results to obtain multiple engineering equipment clusters, and use the multiple engineering equipment clusters as the multiple atomic-level sub-projects.

[0051] Step S130: Extract the electrical connection topology from the engineering 3D design model, and perform electrical connection analysis on the multiple atomic-level sub-projects according to the electrical connection topology to obtain multiple atomic-level engineering connection identifiers.

[0052] Specifically, the engineering 3D design model is initially divided based on the independence of device functions. In the power transmission and transformation project, various devices have different functions. For example, transformers are used for voltage conversion, and circuit breakers are used to control the on / off of the circuit, etc. According to these clear functional differences, the engineering 3D design model is disassembled, and the devices with independent functions are separated to obtain multiple initial engineering devices.

[0053] Perform an analysis of the associated operating faults of multiple initial engineering devices. Extract the electrical main connection topology from the engineering 3D design model. Treat the multiple initial engineering devices as network nodes, and construct connection edges based on the electrical main connection topology to complete the construction of the device electrical association topology. Then, preset the power transmission and transformation fault points. Starting from this fault point, calculate the fault conduction paths in the device electrical association topology to obtain K key fault conduction paths. Based on these key fault conduction paths, conduct a fault impact analysis on the multiple initial engineering devices. Through fitting the fault evolution of the fault conduction paths, obtain multiple sets of single-path fault impact weights, and then construct a device-path association matrix and fill in the data, and calculate the global weight to obtain the cross-path weight characteristics. Finally, using the weight fluctuation scale and the cluster number scale as the double-scale clustering constraints, perform the aggregation of engineering devices, and aggregate the devices with close connections and similar fault impacts into multiple engineering device clusters, and these clusters serve as multiple atomic-level sub-projects. This aggregation method based on fault association fully considers the mutual relationship of devices under operating faults, making the division of atomic-level sub-projects more reasonable.

[0054] Extract the electrical connection topology from the engineering 3D design model. This topology details the electrical connection methods and paths between various devices. Based on this electrical connection topology, conduct an electrical connection analysis of multiple atomic-level sub-projects. Through the analysis, determine the electrical connection relationships between each atomic-level sub-project and other sub-projects, including information such as the starting point, ending point, and connection type of the connection, and finally obtain multiple atomic-level engineering connection identifiers. These identifiers provide important basic data for subsequent construction of atomic-level sub-models and electrical verification, ensuring that the electrical connection characteristics of the power transmission and transformation project can be accurately reflected in the digital model, thereby guaranteeing the accuracy and reliability of the entire verification process.

[0055] In a possible implementation manner, step S120 further includes:

[0056] Step S121: Extract the electrical main connection topology from the engineering 3D design model.

[0057] Step S122: Treat the multiple initial engineering devices as multiple network nodes, and construct connection edges for the multiple network nodes according to the electrical main connection topology to complete the construction of the device electrical association topology.

[0058] Step S123: Preset a power transmission and transformation fault point, and starting from the power transmission and transformation fault point, calculate the fault conduction path in the electrical connection topology of the equipment to obtain K key fault conduction paths.

[0059] Step S124: Based on the K key fault conduction paths, conduct a fault impact analysis on the multiple initial engineering devices, and perform engineering device aggregation according to the analysis results to obtain the multiple engineering device clusters.

[0060] Specifically, extract the electrical main connection topology from the engineering 3D design model. As the core architecture of the electrical connection in the power transmission and transformation project, the electrical main connection topology clearly presents the connection relationships between various main electrical devices, such as the electrical connection methods between devices like transformers, circuit breakers, and busbars, and key information such as the power transmission path. This information is an important basis for subsequent analysis.

[0061] Regard the multiple initial engineering devices as multiple network nodes, and construct connection edges based on the previously extracted electrical main connection topology. In this way, the individual initial engineering devices are electrically interconnected to form a complete electrical connection topology of the devices. This topology not only intuitively shows the electrical connections between devices but also provides a clear path and structural framework for subsequent analysis of fault conduction.

[0062] To obtain K key fault conduction paths, it is achieved by combining the depth - first search (DFS) algorithm with electrical characteristic analysis. First, according to the common fault types and key - attention areas of the power transmission and transformation project, select a power transmission and transformation fault point in the electrical connection topology of the equipment. Then, start the depth - first search from this fault point. During the search process, every time a network node (i.e., the node corresponding to the initial engineering device) is visited, analyze the flow direction and distribution of the fault current at this node based on the information of the electrical connection topology and Ohm's law, Kirchhoff's current law, and voltage law. For example, for a node connecting multiple branch lines, calculate the shunt ratio of the fault current on different branches according to parameters such as the resistance and reactance of each line. When reaching the next node along a certain connection edge, perform the above - mentioned electrical characteristic analysis again to determine whether the fault will continue to spread along this path. If the devices on a certain path cannot operate normally due to excessive fault current or abnormal voltage (judged according to the rated parameters and fault - tolerance ability of the devices), mark this path as a potential fault conduction path. After the depth - first search traverses the entire electrical connection topology of the devices, sort out and screen all the marked potential paths. According to the severity of fault propagation (such as factors like the magnitude of the fault current and the importance of the affected devices), select K paths that have a greater impact on the entire power transmission and transformation system and are representative as the key fault conduction paths. These key fault conduction paths will provide an important basis for subsequent fault impact analysis and device aggregation of the initial engineering devices.

[0063] For K critical fault conduction paths, perform fault evolution fitting on them. By studying the propagation law of faults on each path and combining electrical principles and equipment characteristics, calculate multiple groups of single-path fault impact weights for multiple initial engineering devices. For example, determine the weight value of the impact on each device under a single fault conduction path according to factors such as the impact degree of fault current on the device on different paths, the tolerance of the device, and the probability of fault occurrence. Construct a device-path association matrix based on multiple initial engineering devices and K critical fault conduction paths, and fill the calculated multiple groups of single-path fault impact weights into the matrix so that each element in the matrix can accurately reflect the affected degree of the corresponding device under a specific fault conduction path. Then, perform global weight calculation on the device-path association matrix, comprehensively consider the impact weights of each device under different paths, and obtain multiple cross-path weight characteristics of multiple initial engineering devices. These characteristics comprehensively show the comprehensive affected situation of each device in the entire fault scenario. Finally, use the weight fluctuation scale and the cluster number scale as double-scale clustering constraint conditions. The weight fluctuation scale is used to measure the change in the affected degree of the device under different fault conduction paths, and the cluster number scale determines a reasonable aggregation number range according to engineering actual needs and experience. Based on multiple cross-path weight characteristics, use a clustering algorithm to aggregate the initial engineering devices. During the clustering process, group devices with similar weight characteristics and similar affected degrees by faults into one group, and finally form multiple engineering device clusters.

[0064] In a possible implementation manner, step S124 further includes:

[0065] Step S1241: Perform fault evolution fitting on the K critical fault conduction paths to obtain multiple groups of single-path fault impact weights of the multiple initial engineering devices.

[0066] Step S1242: Construct a device-path association matrix based on the multiple initial engineering devices and the K critical fault conduction paths, and perform data filling of the device-path association matrix according to the multiple groups of single-path fault impact weights.

[0067] Step S1243: Perform global weight calculation on the device-path association matrix to obtain multiple cross-path weight characteristics of multiple initial engineering devices.

[0068] Step S1244: Use the weight fluctuation scale and the cluster number scale as double-scale clustering constraints, and aggregate the engineering devices according to the multiple cross-path weight characteristics to obtain the multiple engineering device clusters.

[0069] Specifically, for the obtained K key fault conduction paths, mathematical modeling and fitting techniques are used to fit the fault evolution. According to the circuit principle, equipment characteristics, and past power transmission and transformation fault data, the propagation process of the fault on each path is simulated, the influence degree of the fault on each initial engineering equipment at different times is analyzed, and then multiple groups of single-path fault influence weights of multiple initial engineering equipment are obtained. These weights reflect the severity of the impact of each equipment under a single fault conduction path.

[0070] Based on multiple initial engineering equipment and K key fault conduction paths, a two-dimensional equipment-path association matrix is constructed. The rows of the matrix represent each initial engineering equipment, and the columns represent different key fault conduction paths. Then, the multiple groups of single-path fault influence weights obtained in the previous step are filled into the corresponding positions of the matrix to complete the data filling. In this way, each element in the matrix accurately records the fault influence weight of a specific equipment under a specific fault conduction path, providing a data basis for subsequent comprehensive analysis.

[0071] Perform global weight calculation on the filled equipment-path association matrix. By comprehensively considering the weight situation of each equipment under different fault conduction paths and using the weighted average method, multiple cross-path weight characteristics of each initial engineering equipment are calculated. These characteristics are no longer limited to the influence of a single path but overall reflect the affected characteristics of the equipment in the entire fault scenario.

[0072] Take the weight fluctuation scale and the cluster number scale as the double-scale clustering constraint conditions. The weight fluctuation scale is used to measure the change range of the weights of the equipment under different fault conduction paths, reflecting the stability of the equipment affected by the fault; the cluster number scale presets a reasonable clustering number range based on engineering actual needs, experience, and equipment characteristics. Based on these constraints, using the K-Means clustering algorithm, the initial engineering equipment is aggregated according to multiple cross-path weight characteristics. The algorithm will group the equipment with similar cross-path weight characteristics into one group. After multiple iterative optimizations, multiple engineering equipment clusters are finally obtained.

[0073] In a possible implementation manner, step S310 further includes:

[0074] Step S311: Perform module-level division on the power transmission and transformation project based on the composition of typical module equipment to obtain multiple initial module-level sub-projects.

[0075] Step S312: Locally call the association rule library, and use the locally called association rule library and multiple atomic-level sub-models as aggregation conditions to drive the double clustering of the multiple initial module-level sub-projects to obtain H module-level sub-projects.

[0076] Step S313: Aggregate the multiple atomic-level submodels through electrical connection according to the H module-level sub-projects to obtain the H module-level submodels.

[0077] Specifically, based on the composition of typical module devices, the power transmission and transformation project is divided at the module level. The power transmission and transformation project includes various devices such as transformers, transmission lines, and switchgear. According to the similarity of these devices in function, structure, and the roles they play in the project, the project is initially disassembled. For example, the transformer responsible for voltage conversion function and its related auxiliary devices are divided into an initial module, and the transmission line for power transmission and its supporting towers, insulators, etc. are classified into another initial module. In this way, multiple initial module-level sub-projects are obtained.

[0078] Next, the local association rule library is called. This rule library stores a large amount of information about the association relationships between devices, covering electrical connection requirements between devices, function coordination rules, and spatial layout constraints. The locally called association rule library and multiple atomic-level submodels are used as aggregation conditions to drive the multiple initial module-level sub-projects to perform double clustering. First, based on the multiple atomic-level submodels, the device overlap analysis of the multiple initial module-level sub-projects is carried out. The initial module-level sub-projects containing similar devices or having close functional connections are aggregated in the first round to obtain R associated module-level sub-projects. Then, multiple initial project devices are used to traverse the local association rule library, and multiple device reference association relationships are called. Based on these relationships, the R associated module-level sub-projects are aggregated in the second round, and finally H module-level sub-projects are obtained. This double clustering process makes full use of the information in the association rule library and atomic-level submodels, making the division of module-level sub-projects more scientific and reasonable, and the association between devices within the module stronger.

[0079] According to the obtained H module-level sub-projects, multiple atomic-level submodels are further aggregated through electrical connection. For each module-level sub-project, the electrical connection relationships between the devices represented by its internal atomic-level submodels are analyzed in detail. Based on the electrical connection topology and electrical parameters, the atomic-level submodels that are interconnected and have a close electrical relationship are integrated together. For example, for a module-level sub-project containing a transformer and a connected transmission line, the atomic-level submodels representing the transformer and the transmission line are merged and associated according to their actual electrical connection methods, ensuring that the module-level submodel can accurately reflect the electrical characteristics and operation logic of the module in the power transmission and transformation project. Finally, H complete module-level submodels are obtained. These module-level submodels not only contain the corresponding device sets but also accurately reflect the electrical connection relationships between the devices, providing effective model support for the subsequent verification and analysis of the module level of the power transmission and transformation project.

[0080] In a possible implementation manner, step S312 further includes:

[0081] Step S3121: Based on the multiple atomic-level sub-models, perform equipment overlap analysis on the multiple initial module-level sub-projects, and aggregate the multiple initial module-level sub-projects in one round according to the analysis results to obtain R associated module-level sub-projects.

[0082] Step S3122: Use the multiple initial project equipment to traverse the local call association rule library and call multiple equipment reference association relationships.

[0083] Step S3123: Aggregate the R associated module-level sub-projects in two rounds according to the multiple equipment reference association relationships and output the H module-level sub-projects.

[0084] Specifically, based on the multiple atomic-level sub-models, conduct equipment overlap analysis on the multiple initial module-level sub-projects. Each atomic-level sub-model represents a specific basic equipment or equipment combination in the power transmission and transformation project. By comparing the atomic-level sub-models included in each initial module-level sub-project, determine the equipment overlap degree and functional similarity between them. For example, if two initial module-level sub-projects both include an atomic-level sub-model representing a certain type of switchgear and both involve the opening and closing control of the circuit in terms of function, then they have a high overlap degree in terms of equipment and function. According to the results of this overlap analysis, aggregate the initial module-level sub-projects with similar equipment and functions in one round, and merge the closely related parts together to obtain R associated module-level sub-projects. This step initially integrates similar modules, reduces redundancy between modules, and makes the module structure clearer.

[0085] Use the multiple initial project equipment to traverse the local call association rule library. The association rule library stores a large number of pre-set equipment reference association relationships, which cover various aspects of information such as electrical connection specifications, operation logic associations, and spatial layout requirements between equipment. Each initial project equipment serves as the starting point for retrieval to find various association relationships related to it in the association rule library. For example, for a transformer equipment, the standard connection method of its electrical connection with other equipment such as circuit breakers and lightning arresters, as well as the cooperation rules with these equipment during operation, can be found in the association rule library. Through traversal, obtain multiple equipment reference association relationships, providing an important basis for subsequent module aggregation.

[0086] Based on the obtained multiple device benchmark association relationships, perform a second-round aggregation on the R associated module-level sub-projects, apply these association relationships to the R associated module-level sub-projects, and check whether the requirements of these relationships are met among the module-level sub-projects. For example, according to the electrical connection relationship, further integrate the module-level sub-projects that did not fully consider the electrical connection tightness in the first-round aggregation to ensure that the electrical connections among the module-level sub-projects comply with the specifications; according to the operational logic association, merge the module-level sub-projects that cooperate with each other functionally and operate synergistically. After this round of aggregation, finally output H module-level sub-projects. These module-level sub-projects are more reasonable and perfect in terms of device composition, function realization, and mutual association, laying a solid foundation for the subsequent construction of a complete module-level sub-model.

[0087] In a possible implementation manner, step S400 further includes:

[0088] Step S410: The atomic-level multi-dimensional verification includes geometric dimension verification with hierarchical activation, electrical compliance verification, and electrical connectivity verification.

[0089] Specifically, the atomic-level multi-dimensional verification comprehensively guarantees the accuracy and reliability of the atomic-level sub-model through geometric dimension verification with hierarchical activation, electrical compliance verification, and electrical connectivity verification. The geometric dimension verification with hierarchical activation starts from the perspective of spatial layout and checks the spatial position, size, and mutual distance of the devices in the atomic-level sub-model. According to the design specifications of the power transmission and transformation project and the actual site conditions, use three-dimensional modeling to ensure that the spatial layout of the devices is reasonable and meets the requirements of installation, maintenance, and safety distance, etc. For example, check whether the distance between the transformer and the surrounding devices complies with the regulations for preventing electromagnetic interference and facilitating maintenance to avoid equipment operation failures or safety hazards caused by unreasonable spatial layout.

[0090] The electrical compliance verification first compares and analyzes the rated voltage of each device in the atomic-level sub-model with the highest operating voltage of the system to ensure that the rated voltage of the device can meet the system operation requirements and can still operate safely and stably when the system voltage fluctuates by 1.1 times. Secondly, evaluate the short-circuit current withstand capacity and calculated short-circuit current of the device to ensure that the device can withstand the impact of at least 1.2 times the calculated short-circuit current when a short-circuit fault occurs, preventing the device from being damaged due to excessive short-circuit current. Through electrical parameter comparison and standard verification, ensure that the atomic-level sub-model complies with relevant specifications and engineering actual requirements in terms of electrical performance.

[0091] Electrical connectivity verification focuses on the electrical connection relationships between devices in the atomic-level sub-models. With the aid of electrical topology analysis tools, the line connections, electrical nodes, and circuits between devices are inspected one by one to ensure that all electrical connections meet the design requirements and there are no problems such as open circuits, short circuits, or connection errors. For example, checking whether the connection between the power transmission line and the substation equipment is correct to ensure that the current can flow smoothly along the expected path, making the entire atomic-level sub-model form a complete and reliable system electrically. Through the verification in these three dimensions, the atomic-level sub-model is comprehensively inspected from different aspects, providing a solid guarantee for the reliability and stability of the power transmission and transformation project.

[0092] Embodiment 2, based on the same inventive concept as the method for three-dimensional design verification of a power transmission and transformation project based on digital twins in the foregoing embodiment, as Figure 2 shown, this application provides a three-dimensional design verification system for a power transmission and transformation project based on digital twins, wherein the system includes:

[0093] An engineering initial division module 11, configured to perform atomic-level division on the power transmission and transformation project according to the three-dimensional design model of the project to obtain a plurality of atomic-level sub-projects.

[0094] A twin model construction module 12, configured to construct a plurality of atomic-level sub-models of the plurality of atomic-level sub-projects through multi-dimensional twin modeling mapping.

[0095] A model aggregation execution module 13, configured to perform multi-granularity engineering decomposition on the power transmission and transformation project and perform multi-granularity hierarchical aggregation on the plurality of atomic-level sub-models according to the decomposition result to obtain H module-level sub-models and N system-level sub-models.

[0096] A twin verification execution module 14, configured to perform atomic-level multi-dimensional verification on the plurality of atomic-level sub-models and output an atomic-level verification result.

[0097] [[ID= 20]]A collaborative verification execution module 15, configured to, if the atomic-level verification result is set to 1, perform time-sequence space collaborative verification on the H module-level sub-models and output a module-level verification result.

[0098] A working condition verification execution module l6, configured to, if the module-level verification result is set to 1, perform multi-working condition dynamic simulation verification on the N system-level sub-models and output a system-level verification result.

[0099] A closed-loop verification processing module 17, configured to update the full working condition verification cycle of the power transmission and transformation project according to the system-level verification result and perform a multi-level dynamic verification closed-loop of the power transmission and transformation project based on the full working condition verification cycle.

[0100] Furthermore, the system is also used to implement the following functions:

[0101] Perform module-level division on the power transmission and transformation project, and dynamically aggregate the multiple atomic-level sub-models according to the association rule library and the module-level division results to obtain H module-level sub-models; perform system-level division on the power transmission and transformation project, and integrate the H module-level sub-models according to the multi-level verification mechanism and the system-level division results to obtain N system-level sub-models.

[0102] Further, the system is also used to implement the following functions:

[0103] Perform time-series space collaborative verification on the H module-level sub-models, and output H twin model verification results; if any of the H twin model verification results is set to 0, then the module-level verification result is set to 0; in the case where the module-level verification result is set to 0, locate P module-level sub-models with the twin model verification result set to 1; perform module coverage screening on the N system-level sub-models according to the P module-level sub-models to obtain L system-level sub-models; perform multi-condition dynamic simulation verification on the L system-level sub-models, and output local verification results.

[0104] Further, the system is also used to implement the following functions:

[0105] Perform preliminary division of the engineering 3D design model based on the independence of equipment functions to obtain multiple initial engineering equipment; perform operation failure correlation analysis on the multiple initial engineering equipment, and perform equipment aggregation according to the analysis results to obtain multiple engineering equipment clusters, and use the multiple engineering equipment clusters as the multiple atomic-level sub-projects; extract the electrical connection topology from the engineering 3D design model, and perform electrical connection analysis on the multiple atomic-level sub-projects based on the electrical connection topology to obtain multiple atomic-level engineering connection identifiers.

[0106] Further, the system is also used to implement the following functions:

[0107] Extract the electrical main connection topology from the engineering 3D design model; use the multiple initial engineering equipment as multiple network nodes, and construct connection edges of the multiple network nodes according to the electrical main connection topology to complete the construction of the equipment electrical association topology; preset power transmission and transformation fault points, and use the power transmission and transformation fault points as the starting point to calculate the fault conduction paths in the equipment electrical association topology to obtain K key fault conduction paths; based on the K key fault conduction paths, perform fault impact analysis on the multiple initial engineering equipment, and perform engineering equipment aggregation according to the analysis results to obtain the multiple engineering equipment clusters.

[0108] Further, the system is also used to implement the following functions:

[0109] Perform fault evolution fitting on the K key fault conduction paths to obtain multiple groups of single-path fault impact weights for the multiple initial engineering devices; construct a device-path association matrix based on the multiple initial engineering devices and the K key fault conduction paths, and fill in the data of the device-path association matrix according to the multiple groups of single-path fault impact weights; perform global weight calculation on the device-path association matrix to obtain multiple cross-path weight features of the multiple initial engineering devices; use the weight fluctuation scale and the cluster number scale as double-scale clustering constraints, and perform engineering device aggregation according to the multiple cross-path weight features to obtain the multiple engineering device clusters.

[0110] Further, the system is also used to implement the following functions:

[0111] Based on the composition of typical modular devices, perform modular-level division on the power transmission and transformation project to obtain multiple initial modular-level sub-projects; locally call the association rule library, and use the locally called association rule library and multiple atomic-level sub-models as aggregation conditions to drive the double clustering of the multiple initial modular-level sub-projects to obtain H modular-level sub-projects; according to the H modular-level sub-projects, aggregate the multiple atomic-level sub-models through electrical connection to obtain the H modular-level sub-models.

[0112] Further, the system is also used to implement the following functions:

[0113] Perform device overlap analysis on the multiple initial modular-level sub-projects according to the multiple atomic-level sub-models, and perform primary aggregation on the multiple initial modular-level sub-projects according to the analysis results to obtain R associated modular-level sub-projects; use the multiple initial engineering devices to traverse the locally called association rule library and call multiple device reference association relationships; perform secondary aggregation on the R associated modular-level sub-projects according to the multiple device reference association relationships and output the H modular-level sub-projects.

[0114] Further, the system is also used to implement the following functions:

[0115] The atomic-level multi-dimensional verification includes geometric dimension verification with hierarchical activation, electrical compliance verification, and electrical connectivity verification.

[0116] Any of the above methods or steps can be stored as computer instructions or programs in various types of computer memories, and the computer instructions or programs are recognized by various types of computer processors, thereby implementing any of the above methods or steps.

[0117] Based on the above specific embodiments of the present invention, those skilled in the art of the present technology field, without departing from the principle of the present invention, any improvements and modifications made to the present invention shall fall within the patent protection scope of the present invention.

Claims

1. A three-dimensional design verification method for power transmission and transformation projects based on digital twins, characterized in that, The method includes: Performing atomic-level division on the power transmission and transformation project according to the engineering three-dimensional design model to obtain multiple atomic-level sub-projects; Constructing multiple atomic-level sub-models of the multiple atomic-level sub-projects through multi-dimensional twin modeling mapping; Performing multi-granularity engineering decomposition on the power transmission and transformation project, and performing multi-granularity hierarchical aggregation on the multiple atomic-level sub-models according to the decomposition results to obtain H module-level sub-models and N system-level sub-models; Performing atomic-level multi-dimensional verification on the multiple atomic-level sub-models and outputting an atomic-level verification result; If the atomic-level verification result is set to 1, performing time-sequence space collaborative verification on the H module-level sub-models and outputting a module-level verification result; If the module-level verification result is set to 1, performing multi-condition dynamic simulation verification on the N system-level sub-models and outputting a system-level verification result; Updating the full-condition verification cycle of the power transmission and transformation project according to the system-level verification result, and performing a multi-level dynamic verification closed-loop on the power transmission and transformation project based on the full-condition verification cycle.

2. The three-dimensional design verification method for power transmission and transformation projects based on digital twins according to claim 1, characterized in that, Performing multi-granularity engineering decomposition on the power transmission and transformation project, and performing multi-granularity hierarchical aggregation on the multiple atomic-level sub-models according to the decomposition results to obtain H module-level sub-models and N system-level sub-models. The method includes: Performing module-level division on the power transmission and transformation project, and dynamically aggregating the multiple atomic-level sub-models according to the association rule library and the module-level division result to obtain H module-level sub-models; Performing system-level division on the power transmission and transformation project, and integrating the H module-level sub-models according to the multi-level verification mechanism and the system-level division result to obtain N system-level sub-models.

3. The three-dimensional design verification method for power transmission and transformation projects based on digital twin according to claim 1, characterized in that The method further includes: Performing time-sequence space collaborative verification on the H module-level sub-models and outputting H twin model verification results; If any one of the H twin model verification results is set to 0, setting the module-level verification result to 0; Locating P module-level sub-models with the twin model verification result set to 1 when the module-level verification result is set to 0; Performing module coverage screening on the N system-level sub-models according to the P module-level sub-models to obtain L system-level sub-models; Performing multi-condition dynamic simulation verification on the L system-level sub-models and outputting a local verification result.

4. The three-dimensional design verification method for power transmission and transformation projects based on digital twins according to claim 2, wherein, Performing atomic-level division on the power transmission and transformation project according to the engineering three-dimensional design model to obtain multiple atomic-level sub-projects. The method includes: Performing preliminary division of the engineering three-dimensional design model based on the independence of equipment functions to obtain multiple initial engineering equipment; Performing operation fault correlation analysis on the multiple initial engineering equipment, and performing equipment aggregation according to the analysis result to obtain multiple engineering equipment clusters, and taking the multiple engineering equipment clusters as the multiple atomic-level sub-projects; Extracting the electrical connection topology from the engineering three-dimensional design model, and performing electrical connection analysis on the multiple atomic-level sub-projects according to the electrical connection topology to obtain multiple atomic-level engineering connection identifiers.

5. The three-dimensional design verification method for power transmission and transformation projects based on digital twin according to claim 4, wherein, Performing operation fault correlation analysis on the multiple initial engineering equipment, and performing equipment aggregation according to the analysis result to obtain multiple engineering equipment clusters, and taking the multiple engineering equipment clusters as the multiple atomic-level sub-projects. The method includes: Extract the electrical main connection topology from the engineering 3D design model; Use the multiple initial engineering devices as multiple network nodes, and construct the connection edges of the multiple network nodes according to the electrical main connection topology to complete the construction of the device electrical association topology; Preset the power transmission and transformation fault points, and take the power transmission and transformation fault points as the starting points to calculate the fault conduction paths in the device electrical association topology to obtain K key fault conduction paths; Based on the K key fault conduction paths, conduct fault impact analysis on the multiple initial engineering devices, and perform engineering device aggregation according to the analysis results to obtain the multiple engineering device clusters.

6. The 3D design verification method for power transmission and transformation projects based on digital twins according to claim 5, wherein Based on the K key fault conduction paths, conduct fault impact analysis on the multiple initial engineering devices, and perform engineering device aggregation according to the analysis results to obtain the multiple engineering device clusters. The method includes: Perform fault evolution fitting on the K key fault conduction paths to obtain multiple groups of single-path fault impact weights of the multiple initial engineering devices; Construct a device-path association matrix based on the multiple initial engineering devices and the K key fault conduction paths, and fill the data of the device-path association matrix according to the multiple groups of single-path fault impact weights; Perform global weight calculation on the device-path association matrix to obtain multiple cross-path weight features of the multiple initial engineering devices; Use the weight fluctuation scale and the cluster number scale as the double-scale clustering constraints, and perform engineering device aggregation based on the multiple cross-path weight features to obtain the multiple engineering device clusters.

7. The 3D design verification method for power transmission and transformation projects based on digital twins according to claim 4, characterized in that, Perform module-level division on the power transmission and transformation project, and dynamically aggregate the multiple atomic-level sub-models according to the association rule library and the module-level division results to obtain H module-level sub-models. The method includes: Perform module-level division on the power transmission and transformation project based on the composition of typical module devices to obtain multiple initial module-level sub-projects; Locally call the association rule library, and use the locally called association rule library and the multiple atomic-level sub-models as the aggregation conditions to drive the double clustering of the multiple initial module-level sub-projects to obtain H module-level sub-projects; According to the H module-level sub-projects, aggregate the multiple atomic-level sub-models through electrical connection to obtain the H module-level sub-models.

8. The 3D design verification method for power transmission and transformation projects based on digital twin according to claim 7, wherein, Locally call the association rule library, and use the locally called association rule library and the multiple atomic-level sub-models as the aggregation conditions to drive the double clustering of the multiple initial module-level sub-projects to obtain H module-level sub-projects. The method includes: Perform device overlap analysis on the multiple initial module-level sub-projects according to the multiple atomic-level sub-models, and perform first-round aggregation on the multiple initial module-level sub-projects according to the analysis results to obtain R associated module-level sub-projects; Traverse the locally called association rule library with the multiple initial engineering devices to call multiple device reference association relationships; Perform second-round aggregation on the R associated module-level sub-projects according to the multiple device reference association relationships, and output the H module-level sub-projects.

9. The 3D design verification method for power transmission and transformation projects based on digital twins according to claim 1, wherein The atomic-level multi-dimensional verification includes geometric dimension verification with hierarchical activation, electrical compliance verification, and electrical connectivity verification.

10. A three-dimensional design verification system for power transmission and transformation projects based on digital twins, characterized in that The system is used to implement the 3D design verification method for power transmission and transformation projects based on digital twins described in any one of claims 1-9. The system includes: An engineering initial division module, configured to perform atomic-level division on the power transmission and transformation project according to the 3D engineering design model, so as to obtain a plurality of atomic-level sub-projects; A twin model construction module, configured to construct a plurality of atomic-level sub-models of the plurality of atomic-level sub-projects through multi-dimensional twin modeling mapping; A model aggregation execution module, configured to perform multi-granularity engineering decomposition on the power transmission and transformation project, and perform multi-granularity hierarchical aggregation on the plurality of atomic-level sub-models according to the decomposition result, so as to obtain H module-level sub-models and N system-level sub-models; A twin verification execution module, configured to perform atomic-level multi-dimensional verification on the plurality of atomic-level sub-models, and output an atomic-level verification result; A collaborative verification execution module, configured to, if the atomic-level verification result is set to 1, perform temporal and spatial collaborative verification on the H module-level sub-models, and output a module-level verification result; A working condition verification execution module, configured to, if the module-level verification result is set to 1, perform multi-working condition dynamic simulation verification on the N system-level sub-models, and output a system-level verification result; A closed-loop verification processing module, configured to update the full working condition verification cycle of the power transmission and transformation project according to the system-level verification result, and perform a multi-level dynamic verification closed-loop of the power transmission and transformation project based on the full working condition verification cycle.

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