644results about "CAD network environment" patented technology

The embodiment of the invention discloses a cloud architecture CAD (Computer Aided Design) and CAE (Computer Aided Engineering) integrated collaboration method, equipment and a medium, relates to the technical field of collaboration design, and is used for solving the problems of low collaboration efficiency, insufficient knowledge reuse rate and the like in the prior art. The method is applied to a CAD and CAE integrated cooperative system built on a cloud architecture, the system comprises a client and a server, and the method comprises the steps that modeling processing is conducted on a model creating instruction of the client through a preset geometric modeling engine of the server, and a current CAD model file is obtained; inputting the data into a preset CAE (Computer Aided Engineering) pre-processing and post-processing module for processing to generate a finite element model; performing simulation solution on the finite element model based on a preset multi-solver in a CAE simulation module to obtain a finite element result; and according to a preset data conversion service module of the CAE simulation module, performing data analysis processing on the finite element result, and organizing an analysis result into visual data to display so as to feed back and optimize CAD modeling.

The invention discloses a hydrological data prediction method based on a convolutional neural network and a physical information neural network. Comprising the following steps: 1) utilizing an HEC-RAS hydrological model to generate cross sectional area, flow and water level elevation data of a key section of a target river channel in a preset time period as training reference truth values; 2) constructing space-time coordinates corresponding to the data as an input data set; 3) space-time input is processed through a physical information neural network model based on a convolutional neural network, the convolutional neural network extracts local heterogeneity features of a spatial position of a river channel through one-dimensional convolution, and a continuity equation and a momentum equation of a Saint-Venant equation set are embedded into a training process in a residual form through physical information constraint; and 4) finally, directly outputting a hydrological parameter prediction result of the target river channel. Therefore, under the environment that the observation data is deficient or missing, the hydrological parameter prediction precision and the model generalization ability are remarkably improved by fusing the simulation data and the physical mechanism constraint.

Digital model platform that enables the streamlined creation and management of digital twins and physical twins by leveraging external feedback and artificial intelligence (AI) is disclosed. Methods and systems for a model collaboration platform that facilitate the integration of external feedback, whether from physical, virtual, or human sources, into the streamlined design, validation, verification, certification, assembly, operations, and maintenance processes of complex systems. Updated results are output to those external sources, including physical twins, other digital twins or models and simulations, and / or human users. External feedback includes feedback data from physical prototypes and their environment, virtual prototypes, simulations, and subject-matter experts. Embodiments are directed to integrating external feedback into the assembly and system-level assessment of digital twins, physical twins, digital threads, and the iterative design of constituting digital engineering models, including constructing, maintaining, and improving digital engineering models for the design, validation, verification, certification, operations, and maintenance of complex systems.

The invention discloses a photovoltaic digital twin operation and maintenance platform oriented to multi-source collaborative diagnosis, and particularly relates to the technical field of photovoltaic operation and maintenance, normalization, time-frequency feature extraction and adaptive filtering are performed on component health degree and environmental parameters through edge nodes, and a lightweight encrypted performance abstract is generated, and is subjected to differential compression and synchronized to a cloud end; the cloud executes security federal fusion and dynamic reputation weighting on the abstract, and outputs a robust global performance vector; the collaborative optimization engine calls reinforcement learning based on the vector and a historical strategy to generate an original power distribution strategy, and the original power distribution strategy is issued after being corrected through a projection gradient descent mapping function; an edge actuator loads an environment snapshot to perform parallel simulation verification and risk assessment in a digital twin environment, so that the problems of multi-source data isolation and privacy disclosure are effectively solved; a self-adaptive multi-resolution grid, heterogeneous acceleration parallel and distributed message scheduling are provided, and high efficiency and real-time performance of large-scale multi-physics coupling simulation are achieved.

A computer-implemented method for simulating an aircraft system in a closed-loop functional simulation environment is disclosed. The computer-implemented method may include: receiving, at a computer system, one or more control inputs from an interface; processing, by a control system model, the one or more control inputs to generate one or more system command signals; applying the one or more system command signals to one or more virtual system models; simulating a physical response of the aircraft based on output generated by the one or more virtual system models in response to application of the one or more system command signals; generating, responsive to monitoring the output generated by the one or more virtual system models, sensor data; transmitting the sensor data to the control system model; and outputting simulation results, wherein the simulation results at least comprise an indication of the physical response of the aircraft.

The invention discloses an inspection method and system for urban water supply and drainage pipelines, particularly relates to the field of urban pipeline inspection planning, and is used for solving the problems of low manual inspection efficiency, non-uniform scheduling distribution and operation conflict of multiple inspection units in the prior art. According to the method, a state space of multi-agent collaborative inspection scheduling is constructed by receiving a real-time state data stream of a pipeline network, and a pipeline node risk score is calculated based on a topology dependency coefficient and a state anomaly index; generating an action strategy sequence of each agent by using a pre-trained collaborative learning model, and outputting an inspection node priority and a path planning scheme; after the agents with resource conflicts are identified, strategy updating and optimization are executed according to the global risk score and the conflict cost; and actual inspection scheduling is carried out after secondary conflict verification is completed, so that efficient cooperation and dynamic optimization management of urban pipe network inspection is realized.

The invention discloses a physical-data dual-drive bench blasting effect prediction method in the technical field of blasting construction and intelligent mining, which comprises the following steps of: dynamically calibrating a fractal dimension field, and constructing a rock blasting classification model by combining blasting indexes such as fractal gradient, rock density, uniaxial compressive strength and drilling speed; performing three-dimensional reconstruction on the geometric morphology of the step before blasting by using an unmanned aerial vehicle high-precision modeling technology, and importing a finite element simulation model to predict a key blasting effect; collecting an actual blasting effect after blasting, and correcting parameters of the numerical simulation prediction model; and constructing a data set of actual lumpiness distribution of the muck pile, establishing a mapping relation between the rock detonability grade and the charge density, and optimizing the differential time sequence and the single-hole charge amount. According to the invention, through fractal dimension field dynamic mapping and real-time feedback control, accurate adaptation of blasting energy and a rock mass structure is realized.

According to the water conservancy multi-model coupling parallel architecture design method, the whole water conservancy system is divided into a plurality of basic forecast sections, and the forecast sections are mapped according to the upstream and downstream topological relation of the forecast sections. Meanwhile, a plurality of calculation units are divided by utilizing drainage basin service characteristics and different models, and each unit corresponds to one calculation node except for mapping with a basic forecast section; the computing nodes are mutually connected through a high-speed network to form a distributed computing environment. Corresponding water conservancy model components such as a hydrological model, an engineering scheduling model, a hydrodynamic model and an incoming water forecasting model are deployed on each computing node, and the model components on different nodes can be combined and cooperatively work according to needs so as to realize comprehensive simulation of the whole water conservancy system.

The invention relates to the field of environment management, and discloses a watershed digital twinning environment real-time simulation and interaction platform fusing cloud edge collaboration and intelligent modeling, and the platform comprises the steps: carrying out the dynamic collection of the Yangtze River and Yellow River watershed, and generating environment state information organized according to the temporal-spatial resolution; associating the generated environment state information with multi-source environment data to form a multi-source knowledge basis of the drainage basin pollution field; establishing a rule knowledge base covering pollution identification, early warning and prevention and control business processes by utilizing a generative knowledge representation method, and generating a pollution event candidate identification result; carrying out fusion calculation on the pollution event candidate recognition result and multi-source heterogeneous data, constructing a digital twin simulation model, and eliminating data islands between modules and data sources; and executing linkage calculation on the pollution area and the risk node calibrated in the digital twinborn simulation model, generating environment state interaction information and synchronously updating the environment state interaction information to the digital twinborn environment. The method has the advantage that the regional water environment risk prevention and control capability is improved.

The invention relates to the technical field of carbon fiber mold optimization, and discloses a carbon fiber box mold optimization method and system based on multiple targets. A multi-target definition library of the system stores a design constraint set composed of a geometric accuracy threshold value, a material strength threshold value and thermal deformation tolerance; the real-time sensing network collects data of layering tension distribution, temperature gradient and resin flow front edge; the topological dependency analyzer constructs a dependency relationship graph of the design parameters and the real-time sensing data; the material characteristic library stores carbon fiber layering parameters and resin curing kinetic parameters; the optimization calculation scheduler dynamically allocates multi-target optimization calculation task nodes; an iterative optimization engine generates a layering path sequence and curing temperature curve combination scheme; and the result verifier compares the combination scheme with the design constraint, and outputs a scheme deviation index. According to the system, the design standardization, the production monitoring comprehensiveness and the optimization verification accuracy of the carbon fiber box mold can be improved, and the product quality and the production stability are guaranteed.

The invention discloses a large-space assembly type geothermal station design method based on a BIM technology. The method comprises the following steps: constructing a geological foundation model and a geothermal well three-dimensional geological model by actually measured three-dimensional coordinate data, splitting assembly type modules according to functional areas and transportation rules, modeling and storing in a distributed database, and calling the modules according to a construction process sequence to complete the remodeling of the whole model. Meanwhile, a constraint detection mechanism is constructed through a collaborative operation log, whether an operation chain violates design constraints such as geometric conflicts or energy consumption constraints or not is monitored in real time, and blocking and optimization are achieved. Besides, technologies such as multi-source geological data visualization, parameterized interface generation, module attribute dynamic control, hoisting path optimization and geometric conflict automatic identification are integrated, the problems of low collaborative efficiency, insufficient construction precision, rough energy consumption calculation and the like of traditional design are solved, and the overall efficiency of design, construction and management of the geothermal station is improved.

The invention relates to the technical field of building construction, in particular to a BIM (Building Information Modeling) forward design method based on full-process AI (Artificial Intelligence) driving, which comprises the following steps of: digitizing a demand, and extracting a quantitative design index through a multi-modal demand analysis module; parameter generation: generating and evaluating a first-order BIM seed model by using an AI parameter generation engine driven by a generative adversarial network; iterative optimization is carried out, and automatic form, performance and layout optimization is carried out on the model through topological optimization, energy consumption prediction and reinforcement learning; performing collaborative verification, and generating collaborative correction suggestions by adopting a conflict detection algorithm fusing a boundary box and a GJK algorithm; and result delivery: performing simulation verification through a digital twin engine and outputting a final result. According to the method, intelligence and automation of the whole process from demand to delivery are achieved, the problems that a traditional method depends on manpower, collaboration lags behind, performance analysis and design are disjointed and the like are solved, and the design efficiency, quality and scientificity are remarkably improved.

The invention discloses a ventilation cooling optimization method for an all-hydrogen-cooled gas turbine generator, and relates to the technical field of all-hydrogen-cooled generator cooling, and the method comprises the steps: analyzing cooling demands, calculating loss in combination with a high-frequency start-stop peak regulation working condition, and setting a stator RTD temperature, an iron core temperature and a temperature rise target; an end ventilation structure is designed, the diameter of the fan is optimized, and bar gaps, wind shield holes and inner supporting ring ventilation grooves are formed; optimizing variable air ducts of the iron core, and adjusting the width of the air ducts according to thermal load partitions; cFD coupling simulation verification is carried out, and a loss data simulation flow field and a temperature field are imported; carrying out physical test iterative optimization, manufacturing a prototype model, testing, and adjusting parameters until errors are qualified; operation monitoring and dynamic adjustment are carried out, and a sensor is installed to collect data in real time and adapt to working condition requirements. Cooling uniformity and efficiency are improved, peak regulation start and stop working conditions are adapted, hydrogen parameter change influences are balanced, vibration and cooling are cooperatively controlled, operation and maintenance convenience is improved through modular design, and long-term stable operation of the generator is guaranteed.

Embodiments included herein are directed towards a method for use in an electronic design. The embodiments may include causing, at a graphical user interface, a display of a portion of the electronic design. The method may further include determining a location of a mouse cursor at the graphical user interface. The method may also include automatically displaying at the graphical user interface one or more shapes associated with a current fabric. The method may additionally include automatically performing a cross fabric shape query associated with the location of the mouse cursor. Furthermore, the method may include automatically displaying one or more cross fabric shapes at the graphical user interface.

The invention discloses a test verification platform and a test verification method for a motion compensation gangway ladder of an offshore wind power operation and maintenance ship. The platform comprises a system calculation and control center, an environment simulation vibration platform, an active motion compensation execution mechanism, a high-precision sensing and sensing module, a multi-channel data acquisition and storage system, an offshore wind turbine target platform module and an optical motion capture module. The platform reproduces six-degree-of-freedom motion of the operation and maintenance ship through integrated cooperation and high fidelity, simulates active compensation of a gangway ladder and dynamic characteristics of a hydraulic system, and accurately measures key parameters such as poses, forces / torques and the like by using multiple sensors and an optical capture technology. The method comprises the steps of motion instruction synthesis, platform motion reproduction, compensation action simulation, data synchronous acquisition and performance evaluation. According to the invention, high-precision land simulation verification of ship-gangway ladder-fan dynamic coupling is realized, the problems of high cost, high risk and poor repeatability of offshore actual measurement are effectively solved, and a reliable and efficient solution is provided for performance verification of a motion compensation system.

The invention discloses a BIM-based terminal electromechanical pipeline conflict detection and optimization system, and belongs to the technical field of constructional engineering. The BIM-based terminal electromechanical pipeline conflict detection and optimization system comprises a model integration unit, a conflict detection unit, a pipeline optimization unit, a clear height verification unit, a result output unit and a whole process management unit. The problems that an existing pipeline collision detection technology is insufficient in precision, low in optimization efficiency and difficult to meet the requirements for the special functions and the net height of the terminal are solved, the collision detection unit is provided with a multi-dimensional collision detection mechanism, and the pipeline optimization unit combines the special function requirements and arrangement rules of the terminal to improve the collision detection efficiency of the terminal. A pipeline arrangement scheme with the optimal comprehensive cost is automatically generated and recommended through a genetic algorithm, and meanwhile high-precision and automatic detection and efficient optimization of terminal electromechanical pipeline conflicts are achieved through dynamic net height analysis and closed-loop whole-process management.

The invention relates to the technical field of well completion data processing, in particular to an intelligent well completion multi-objective optimization method based on a multi-objective genetic algorithm. The method comprises the following steps: acquiring a complete well completion parameter set and a target function set of intelligent well completion; dimension reduction is conducted on the complete well completion parameter set, and a key well completion parameter set is obtained; constructing a dynamic penalty factor generation rule; constructing a multi-level proxy modeling system based on the key well completion parameter set and the target function set to obtain a hierarchical proxy model; constructing a target function evaluation system of multi-target optimization to obtain a fitness evaluation standard; and performing multi-population parallel genetic evolution based on the hierarchical agent model and the fitness evaluation standard to obtain a multi-objective optimization candidate solution set. According to the intelligent well completion parameter optimal configuration method, the efficient and stable intelligent well completion parameter optimal configuration method with the global optimization capability is realized by fusing dimension reduction, multi-target collaborative evaluation, parallel evolution and a dynamic constraint mechanism.

The invention discloses a method and a device for predicting and adjusting vertical conveying pressure of an emulsion matrix, which realize gradient release of kinetic energy of fluid and suppression of impact pressure through dynamic pipeline structure design and collaborative optimization of conveying parameters, combined design of a snakelike pipeline and a sectional horizontal extension section, and cooperation with a tail end U-shaped buffer structure. A multistage speed control device and a variable damping assembly are constructed, and a flow velocity fine regulation and working condition self-adaptive matching mechanism is formed in combination with a pressure prediction model based on machine learning. A fluid-solid-heat multi-physics field coupling analysis technology is introduced, a non-Newtonian fluid constitutive model is optimized, and a pressure distribution rule under a complex working condition is accurately predicted. Through rheological property research and formula improvement, an emulsion matrix system with high thixotropy and suitable yield stress is developed, and the system adaptability is improved from the two dimensions of fluid intrinsic characteristics and a conveying process. According to the technical system, the pressure fluctuation amplitude of the pipeline is remarkably reduced while the conveying efficiency is guaranteed.

The invention provides a simulation scene multi-target calculation method and device based on parallel scheduling and a server, and relates to the technical field of industrial simulation application, and the method comprises the steps: obtaining a parameter set of a plurality of simulation tasks, and carrying out the task clustering processing of the parameter set according to the parameter similarity, and obtaining a plurality of task clusters; all the task clusters are distributed to different computing nodes, parallel solving processing of simulation tasks is carried out on the task clusters in all the computing nodes on the basis of a self-adaptive tuning model of a message passing interface, and local simulation results corresponding to all the computing nodes are obtained; and carrying out convergence and recombination processing on the local simulation results to obtain a complete simulation result data set, carrying out compression and indexed storage processing on the simulation result data set to generate a lightweight simulation result, and carrying out streaming visualization processing on the lightweight simulation result to obtain a target interactive simulation visualization result. According to the method, the simulation efficiency of simulation scene multi-target calculation can be remarkably improved.

The present application relates to lightning monitoring and strategy optimization technical field, especially a kind of lightning detection station layout method and system based on intelligent optimization algorithm.The site coordinates are used as the initial population satisfying the site position constraint of solution generation, and the individual corresponding to solution is 3N-dimensional vector, corresponding to the three-dimensional coordinates of N sites;Then population iteration is carried out through population mutation, crossing.This application can maintain the higher diversity of individual in the process of individual mutation, and randomly selects multiple parent individuals for mutation.Although the convergence speed is slow in high-dimensional, multi-peak experimental environment, it has stronger global search ability and the advantage of avoiding local convergence.The present application solves the problem that lightning positioning site distribution cannot consider terrain and cannot guarantee detection efficiency and accuracy in the prior art.

The invention provides an intelligent decision-making method for tunnel micro-perturbation blasting, and relates to the technical field of tunnel and underground engineering blasting construction.The method comprises the steps that a Sadgowski empirical formula is improved by introducing geologic structure factors and ground stress factors, and a micro-perturbation response prediction model is obtained; the peak velocity of a mass point of a blasting vibration waveform is predicted through a micro-perturbation response prediction model, a three-objective optimization function is constructed, a blasting decision variable group is introduced, the three-objective optimization function is solved by applying an NSGA-III non-dominated sorting genetic algorithm, and a blasting result is obtained. The non-dominated solution set corresponding to the optimal blasting decision variable set and the peak velocity, the dominant frequency and the blasting damage area depth of mass points of the corresponding blasting vibration waveform are obtained, the problem that the coupling effect of a geological structure and ground stress is ignored in existing tunnel blasting is solved, and the method is suitable for intelligent decision making of deep tunnel blasting.

The invention relates to an automatic driving simulation test system based on a local cluster. According to the system, a local structured file is used as a database, a plurality of common computers are built into a distributed computing cluster through an SSH protocol, and a Web front end is integrated to provide a user interface. The core executes a priority scheduling algorithm fused with a dynamic adjustment and preemption mechanism through an intelligent scheduling and control module, and drives a simulation software API (Application Program Interface) to realize full-process automation from task submission, scheduling, distributed parallel execution, state monitoring to result collection and report generation. The invention further relates to a corresponding method and device, a processor and a computer readable storage medium. According to the automatic driving simulation test system, method and device based on the local cluster, the processor and the storage medium, the problems that an existing simulation test cloud platform is high in cost and complex in deployment are effectively solved, and an efficient, low-cost and high-flexibility test solution is provided for automatic driving research and development.

The invention belongs to the technical field of supply and demand interaction in high-heat and high-humidity areas, and discloses a high-heat and high-humidity area flexible resource random robust optimization regulation and control method and system so as to solve the regulation and control problem of a regional energy system in a high-heat and high-humidity environment. The method comprises the following steps: collecting flexible resource data, power grid data and meteorological data; a deterministic optimization model is constructed, and minimization of the daily operation total cost of the micro-grid in the target region is taken as a target; on the basis of the deterministic optimization model, introducing an uncertainty set of photovoltaic output and load power and Monte Carlo simulation of real-time electricity price, constructing a random robust optimization model, and performing iterative solution through a column constraint generation algorithm to generate a collaborative regulation and control strategy; and issuing the cooperative regulation and control strategy to the building group, the electric vehicle and the energy storage equipment for execution, monitoring the execution effect in real time, and dynamically adjusting the strategy. According to the invention, the energy utilization efficiency is improved, the carbon emission is reduced, and the stable and reliable operation of the system in a high-heat and high-humidity environment is guaranteed.

The invention discloses an intelligent engineering design method and system based on LLM and MCP. The method comprises the following steps: receiving a design demand described by a natural language of a user; using a large language model to query registration metadata of a pre-created MCP operator, and based on the registration metadata, performing analysis and intelligent arrangement on the design demand to generate an executable MCP operator calling sequence subjected to dependency sorting; and scheduling the corresponding MCP operator by utilizing an execution engine according to the MCP operator calling sequence to complete the design requirement. According to the method, the cognitive ability of a large language model is combined with reliable execution of a professional operator, through metadata driving and process tracing, uncertainty caused by direct dependence on the large model is effectively avoided, and efficient, safe and controllable intelligent man-machine collaborative design of complex engineering is achieved.

The invention provides a power distribution network comprehensive planning method and system in electric power engineering design. The method comprises the following steps: firstly, acquiring geographic space data and historical operation data in a planning area and cable vibration spectrum data monitored by an optical fiber sensing network; carrying out distributed storage and correlation analysis on the geographic space data and the cable vibration spectrum data through a mixed integer programming parallel acceleration algorithm, and generating a cable aging risk distribution diagram based on spatial topology constraints; performing multi-target collaborative optimization based on a second-order cone programming model, and generating a high-voltage distribution network line capacity increasing scheme and a cable replacement priority sequence; and finally, in combination with a partial discharge frequency domain characteristic change trend in the cable vibration spectrum data, correcting a line corridor extension parameter, and outputting a dynamic planning map including a cable life prediction node and a capacity increasing path. According to the technical scheme provided by the invention, precise planning and optimization of the high-voltage power distribution network are realized, and the accuracy and efficiency of cable life prediction and capacity increasing path planning are improved.

The invention discloses an XR-based immersive three-dimensional modeling and straight-through 3D printing system and method, and the method comprises the steps: S1, collecting user input, and converting the user input into an interaction instruction; s2, generating three-dimensional model data; s3, superposing the three-dimensional model into a real physical environment according to a proportion of 1: 1, and outputting a virtual-real fusion display result; s4, performing printability analysis on the model, marking a problem area, guiding a user to modify and providing an automatic repair suggestion; s5, generating a support structure, and providing visual preview and interactive editing; s6, slicing and path planning are executed, and a printing instruction file meeting the control requirement of the 3D printer is generated; s7, communication connection with the 3D printer is established, and printing state information is fed back; and S8, providing storage and calling support of the three-dimensional model file, parameter configuration and environment map data. According to the invention, seamless integration of immersive XR modeling, MR real-time verification and one-key direct-through 3D printing is realized.

The embodiment of the invention provides a temperature drift compensation device, method and equipment for contact impedance of a high-frequency probe card. The system is applied to the technical field of semiconductor testing and comprises a temperature monitoring module, an impedance modeling module, a compensation execution module and a cooperative control module which are connected in sequence. In this way, the technical problems that in the prior art, temperature drift compensation is slow in response and insufficient in precision are solved through the sub-millisecond-level temperature monitoring network, the nonlinear compensation model and multi-probe cooperative compensation in combination with the self-adaptive Kalman filtering algorithm.

The invention relates to an offshore wind plant collaborative operation and maintenance method based on atmospheric marine environment dynamic simulation, and is suitable for the field of new energy. The method comprises the following steps: S1, performing clock synchronization, coordinate conversion, exception elimination, missing value repair and dimension standardization processing on acquired multi-source heterogeneous data to generate a standardized data set with a unified format; s2, constructing an atmospheric marine environment field dynamic model and an equipment state evolution model, performing coupling training on the two types of models through a multi-scale space-time fusion algorithm, generating an environment change trend prediction result and an equipment operation state prediction result, and dynamically correcting model parameters according to prediction errors; and S3, carrying out quantitative grading on equipment fault early warning and environmental risks, carrying out matching scheduling in combination with a real-time operation and maintenance resource state, generating a collaborative operation and maintenance plan through a space-time optimization algorithm, executing the collaborative operation and maintenance plan and feeding back an execution state in real time, and realizing iterative optimization of the operation and maintenance plan.

The invention discloses a PDF engineering drawing cross-end synchronization method and system based on operation instruction serialization and a storage medium, and belongs to the technical field of cross-end engineering drawing cooperative process.The method comprises the steps that operation instructions of multiple ends on a PDF engineering drawing are captured, and operation types, target object IDs and parameters are extracted to serve as semantic metadata; constructing a dependency graph of the operation instruction based on the target object ID, and identifying a key path instruction; encoding an operation instruction and a dependency relationship into a serialized format, and only transmitting an instruction of a changed part; the receiving end analyzes the serialized instruction, detects conflicts based on semantic metadata, and executes the instruction according to the dependency relationship; and dynamically adapting the rendering result according to the equipment parameters, including coordinate system conversion and symbol mapping. Therefore, the problems of synchronization efficiency and accuracy in the prior art are solved, and the effects of multi-terminal real-time, efficient and synchronous consistency of the engineering drawing are achieved.

The invention discloses an electric power system fault diagnosis method and system based on multi-sensor fusion, and relates to the technical field of electric power fault diagnosis, electric power data of an electric power system are collected based on multi-array sensors, and a health data set of the electric power system is generated by adjusting element parameters of the electric power system; constructing an electric power digital twinborn model of the electric power system by using the element parameters and the health data, and inserting a distributed fault analysis unit into the electric power digital twinborn model to generate a parallel fault analysis model; real-time electric power data of the electric power system are collected in real time, when a fault trigger signal is detected, a driving data flow is generated, the driving data flow is introduced into the parallel fault analysis model to position a fault source, and a fault report is output; according to the method, the high-fidelity digital twinborn model and a parallel fault analysis mechanism are constructed, so that rapid, accurate and automatic positioning and diagnosis of the faults of the power system are realized.