150 results about "Co-simulation" patented technology

The invention relates to the technical field of manufacturing process control, and discloses a multi-dimensional process data co-simulation control method and system and a storage medium. The method comprises the following steps: firstly, collecting a multi-dimensional process parameter set of a plurality of process equipment in a manufacturing production line, carrying out cross-dimensional feature extraction, and generating a comprehensive feature matrix containing a time sequence feature, a spatial distribution feature and an energy consumption feature; according to feature relevance of different dimensions in the comprehensive feature matrix, a process parameter dynamic coupling model is constructed, co-simulation is carried out on interaction between process equipment, and a process state evolution sequence is output; extracting abnormal fluctuation characteristics in the sequence, and generating a process parameter adjustment instruction set; and finally, according to the adjustment instruction set and real-time process feedback data, dynamically correcting model simulation parameters, generating an optimized process control strategy, and executing the optimized process control strategy. According to the method, collaborative analysis and dynamic control of multi-dimensional process parameters are realized, and the accuracy and adaptability of process control are improved.

The invention discloses a distribution-micro collaborative operation simulation optimization method, which belongs to the technical field of simulation optimization, and comprises the steps of preprocessing grid-connected point voltage data, tie line power data and communication time delay data, constructing a power distribution network power flow physical network following a Kirchhoff's law, outputting a source load power prediction curve by using a long short-term memory network algorithm, and calculating the distribution-micro collaborative operation according to the source load power prediction curve. And a distribution-micro collaborative simulation optimization model is obtained based on residual error rolling correction tie line impedance parameters, a delay penalty term is set in a target function in combination with the preprocessed communication delay data, a power regulation instruction is obtained by using a particle swarm optimization algorithm, and a dynamic simulation video stream is generated. According to the invention, through rolling correction of the tie line impedance parameters and setting of the delay penalty term positively correlated with the time delay, the problem of control failure caused by physical deviation caused by model parameter solidification and communication time delay accumulation is solved, and the defects of voltage deviation calculation distortion and inaccurate network loss evaluation are eliminated. And the simulation precision and the operation stability of distribution-micro cooperation are improved.

The invention discloses an industrial control safety target range construction method and system based on a digital twinborn technology. The method comprises the following steps: constructing a digital twinborn simulation environment for an actual industrial scene, wherein the digital twinborn simulation environment comprises physical system modeling, communication network modeling and co-simulation modeling; defining an interactive interface between the simulation environment and an external tool, including selecting a communication mode according to a data exchange demand, defining a logic communication channel based on the selected communication mode and standardizing a data exchange format; converting an attack instruction initiated by an external tool into a simulation operation instruction in the simulation environment through the interactive interface, and feeding back a physical state change caused by the simulation operation instruction to the external tool; and an automatic target range resetting mechanism is established, and the state of the simulation environment is backed up and recovered through a snapshot mechanism. According to the invention, the management efficiency of the industrial control safety target range is improved, and the test reliability is improved.

The invention discloses a dynamic simulation modeling method for a compressed air energy storage system based on AMESIM and application, and belongs to the technical field of compressed air energy storage.The method comprises the steps that firstly, system indexes are determined, based on the system indexes, a system technological process diagram is designed, main equipment and auxiliary equipment are selected, and design point parameters of the main equipment and the auxiliary equipment in the energy storage and release stage are determined; then, according to the equipment model selection result, sub-models of all elements in the air circulation loop and the heat storage and exchange loop are selected in the AMESIM; thirdly, calibrating and verifying each main equipment sub-model by utilizing main equipment characteristics and model selection parameters, and building a steady-state simulation model of the compressed air energy storage system; and then, constructing a dynamic simulation model based on the steady-state model, and carrying out dynamic simulation verification and evaluation. According to the method, the co-simulation model integrating thermodynamics, fluid mechanics, control theory and mechanical dynamics can be quickly built, and the method has the advantages of being high in model modeling precision, high in multidisciplinary coupling calculation capacity, high in simulation efficiency and the like.

The invention discloses a distributed simulation platform elastic scheduling method and system based on cloud computing, and relates to the technical field of computer systems. According to the distributed simulation platform elastic scheduling method and system based on cloud computing, a cross-domain dynamic dependency processing module, a real-time task top-speed scheduling module, a mixed cloud resource adaptation module and an elastic scheduling core engine are included; and the cross-domain dynamic dependency processing module is used for realizing dynamic processing of a dependency relationship in multi-domain collaborative simulation, cross-domain collaborative allocation of resources and breakpoint self-healing of a task chain. According to the distributed simulation platform elastic scheduling method and system based on cloud computing, dynamic analysis of a multi-domain dependency relationship, cross-domain collaborative allocation of resources and breakpoint self-healing of a task chain are achieved through the cross-domain dynamic dependency processing module, the problem that a cross-domain dependency processing mechanism is rigid in the prior art is solved, and the distributed simulation platform elastic scheduling method and system based on cloud computing are high in practicability. The cross-domain data synchronization delay is reduced, and the resource utilization rate and the stability of the task chain are improved.

The invention relates to the technical field of power distribution terminals, and discloses a power distribution terminal automatic joint debugging function integrity and reliability test system, which comprises a co-simulation module for performing closed-loop coupling on a virtual power grid and a tested terminal through deterministic time control and generating a reproducible working condition; the scene arrangement module is used for realizing automatic switching and rollback of cross-domain scenes based on transactional snapshots; and the communication module is used for executing a consistency test on multiple protocols and injecting delay jitter, packet loss and clock drift. The functional integrity and reliability test system for the automatic joint debugging of the power distribution terminal aims to solve the problems of lack of deterministic time control of cross-domain cooperation and insufficient guarantee of state consistency in a digital twin test method. The problems that a test result cannot be reproduced, crosstalk misjudgment is caused by state non-atomicity consistency during multi-scene switching, and faults are difficult to reproduce due to lack of time determinacy replay capability are solved.

The invention relates to the cross technical field of computer-aided engineering and audio equipment design, discloses a circuit design simulation-based disc player design optimization method and system, and aims to solve the problem that the existing disc player design depends on physical prototype trial-manufacture and subjective listening evaluation and lacks multi-physical domain co-simulation capability. The method comprises the following steps: constructing a unified multi-physical domain model comprising a mechanical transducer, an electromechanical transducer and an electronic circuit sub-model; bidirectional coupling co-simulation based on the time sequence is executed, and an output electric signal is generated; extracting objective audio performance indexes such as total harmonic distortion and signal-to-noise ratio; and carrying out multi-objective optimization on the key design parameters by utilizing a genetic algorithm, and outputting a Pareto optimal scheme. The system comprises a model construction module, a co-simulation module, a performance index extraction module and an optimization module. Through high-fidelity full-link simulation and automatic optimization, the design efficiency and the audio fidelity are remarkably improved, and the research and development cost is reduced.

The invention relates to a unified PDK interface specification-based conversion method, and relates to the technical field of electronic design automation, and the method comprises the following steps: obtaining commercial PDK data; performing semantic analysis and structure reconstruction on the model file based on a machine learning transfer learning algorithm to generate a standardized intermediate model; according to a unified PDK interface specification, converting the intermediate model into target PDK data conforming to an independent research and development simulation platform format; and automatically importing the target PDK data to the simulation platform through the templated script, and verifying the integrity and consistency of the target PDK data. The method can be applied to a core particle system design process, unified access and co-simulation of the commercial PDK and the open-source PDK are realized, and the design efficiency of an integrated circuit is improved.

The invention relates to a transformer substation unmanned aerial vehicle mounting automatic load changing cooperative control method and system, and the method comprises the steps: building a transformer substation three-dimensional space environment model, and fusing the electromagnetic interference field intensity distribution characteristics and the meteorological disturbance characteristics through the three-dimensional space environment model; constructing a mounting device dynamic behavior model of the unmanned aerial vehicle, wherein the mounting device dynamic behavior model comprises a mounting device constraint parameter set of mechanical arm joint motion constraints and mounting object deformation compensation coefficients; calling the three-dimensional space environment model and the mounting device dynamic behavior model to implement co-simulation verification based on a load switching path planning instruction of the unmanned aerial vehicle; and when a path conflict feature or a load instability feature is detected in the co-simulation verification process, it is determined that co-simulation verification is not passed, and the mounting device constraint parameter set is reconfigured and updated, so that co-simulation verification is passed. The method can adapt to the complex environment of the transformer substation, guarantees smooth mounting and changing operation of the unmanned aerial vehicle, and is suitable for the operation and maintenance scene of the transformer substation.

The invention discloses an interface method for a VSC direct current system mixed granularity model and an alternating current system electromechanical transient model. The method comprises the steps that a mixed granularity simulation framework is constructed, wherein an electromechanical transient phasor model is adopted on the alternating current side, and a simplified electromagnetic transient instantaneous value model considering electromagnetic characteristics is adopted on the direct current side; the VSC converter adopts a unified equivalent model, and various types of converters are adapted through parameter configuration; a low-voltage side bus of the converter transformer is arranged at the interface position of the simulation framework and the alternating current system; simulation and interaction rules are configured, wherein the simulation step length of each direct-current power grid is independently set; the alternating current system provides port voltage and alternating current control information for the simulation framework, the simulation framework is equivalent to the alternating current system as a power source, and power exchange is realized through the converter station; in one time step calculation of the electromechanical transient state, the simulation framework changes along with the alternating current side information, a historical simulation state is taken back, and direct current side simulation in the alternating current time step is carried out again until the power interaction deviation converges.

The invention discloses a multi-fidelity co-simulation management method and system for a pneumatic transportation pipe network system, and belongs to the technical field of computer simulation. The method comprises the steps of topology analysis and feature extraction, and analysis of a topology structure; simulation dynamic allocation: dynamically allocating a simulation model for each pipe section based on a preset strategy rule base; the simulation tasks are packaged and dispatched, and the continuous pipe sections distributed with the same simulation models are distributed; performing data coupling and consistency verification, and taking a calculation result of the upstream pipe section as an input boundary condition of calculation of the downstream pipe section; global results are synthesized, and results of all parallel computing tasks are automatically collected. According to the method, a one-dimensional theoretical model or a differentiated three-dimensional CFD model is accurately matched for different flow regime areas (a straight pipe flow field development area, a bent pipe separation area and the like) based on pipe section topological characteristics through dynamic model adaptation, the efficiency of a non-key section is guaranteed through the one-dimensional model, the flow regime of a key section is restored through a high-precision turbulence model, and cooperation of precision and efficiency is achieved.

According to the power grid regulation and control and relay protection semi-physical collaborative simulation training method and system, through power grid-substation joint simulation and integrated fault driving, full-link fault simulation and response from the power grid level to the device level are achieved, and collaborative training of scheduling and operation and maintenance personnel is supported; multi-mode relay protection practical training equipment is constructed, a real device, a simulation device, three-dimensional digital protection and regulation alarm signal simulation are fused, functions of device practical operation, logic unvarnished transmission, abnormal injection, operation tracing and the like are supported through different training carriers, and different levels of training requirements are met; a dynamic power flow long-period time sequence simulation module is introduced, dynamic following of power grid loads and power generation plans is achieved, the development and recovery process of faults in a real power grid environment is simulated, the authenticity, the collaboration and the systematicness of power grid fault training are remarkably improved, and the training efficiency is improved. And a key technical support is provided for the cultivation of cross-professional co-processing capability under the background of a novel power system.

The invention relates to the technical field of traffic infrastructure operation and maintenance, in particular to a bridge dynamic load intelligent operation and maintenance system based on digital twinning, which comprises a digital twinning modeling module, a dynamic load monitoring module, a data processing and simulation analysis module, a health state evaluation and early warning module and an operation and maintenance decision support module. According to the invention, through multi-source heterogeneous data standardization processing, cross-scale co-simulation fused by a high-fidelity finite element and a reduced-order proxy model, and model dynamic calibration driven by measured data, high-precision and high-efficiency core analysis support is provided for the system; and on the basis of load history inversion, probability fatigue life prediction of a high-speed agent model and failure probability calculation and graded early warning under logarithmic normal distribution, the accuracy of structural performance analysis and the perspectiveness of risk pre-judgment under the dynamic load of the bridge are greatly improved, and a scientific and reliable core basis is provided for subsequent operation and maintenance decisions.

The invention relates to the technical field of data simulation analysis, in particular to a simulation data driving-based loader load process prediction method. The method comprises the following steps that a loading lifting capacity optimization mechanical relation model is established based on structure parameters of the skid steer loader; establishing a multi-domain loader oil way-dynamics simulation coupling model; and carrying out loading machine lifting mechanical collaborative optimization processing on the multi-domain loading machine oil way-dynamics simulation coupling model through the loading lifting capacity optimization mechanical relation model so as to obtain a loading machine working condition multi-domain collaborative simulation model. Transmitting the loading machine working condition multi-source load data to a loading machine working condition multi-domain collaborative simulation model to analyze loading machine multi-domain collaborative simulation load process characteristic data; and based on the loader multi-domain collaborative simulation load history characteristic data, establishing a loader multi-domain collaborative precision optimization load history prediction mapping relationship, and generating an optimized loader multi-domain collaborative load history prediction model. According to the invention, accurate prediction of the loading process of the loader is realized.

The invention relates to an urban water supply system simulation model construction method and device, equipment and a medium. The method comprises the following steps: constructing a water supply system structure model comprising a water supply node model and a topological relation model, establishing an operation rule model, and constructing a hydraulic balance model; on the basis of multi-model co-simulation, quantitatively evaluating the water production capacity, the water storage capacity and the water production dynamic balance capacity of the water supply system, and constructing a capacity model; on the basis of the capability model, constructing a double-layer failure simulation system of association failure and cascade failure of the water supply system to perform whole-process simulation prediction of the water supply system from single-point failure to regional collapse; and based on a failure simulation result output by the double-layer failure simulation system, constructing a three-stage closed-loop recovery simulation system of a recovery strategy, a recovery degree and recovery time of the water supply system to carry out a whole-process optimization decision of the water supply system from emergency response to complete recovery. According to the method, the emergency response capability of the water supply system is improved through full-process simulation.

The embodiment of the invention provides a nuclear facility decommissioning project three-dimensional waste cutting and boxing collaborative simulation method and system. The method comprises the steps of obtaining three-dimensional model data, waste storage container data and cutting constraint data of a target nuclear facility; performing format conversion on the three-dimensional model data and the waste storage container data to generate target three-dimensional data and target container data; based on a preset optimization engine, the target three-dimensional data, the target container data and the cutting constraint data, cutting and boxing co-simulation is carried out, and a simulation scheme is generated; optimizing the simulation scheme based on preset optimization parameters, and generating a Pareto frontier solution set; in response to selection of a user in the Pareto frontier solution set, determining a final selection result; and generating a cutting and boxing simulation project report based on the final selection result. In this way, the waste can be flexibly and efficiently treated.

The invention discloses a molded case circuit breaker on-off process dynamic simulation method based on a heterogeneous simulation system, and relates to the technical field of low-voltage electric appliance design and simulation. Loop current calculated by the first simulation subsystem is transmitted to the second simulation subsystem in real time and used for calculating electromagnetic force for driving a mechanism to move, and contact displacement generated by mechanism movement is immediately fed back to the first subsystem and used for dynamically updating resistance characteristics of an arc model, so that calculation of arc voltage is affected, and the simulation effect is achieved. The arc voltage is directly fed back to the circuit model to determine the current value at the next moment, so that a simulation chain for complete dynamic interaction of the circuit current, the electromagnetic force, the mechanical displacement, the arc resistance, the arc voltage and the circuit current is formed; therefore, the simulation model can reflect the dynamic evolution process of each physical quantity in the real on-off process in a self-consistent manner.

The application relates to the field of photonic device modeling, and discloses a parameterized optoelectronic joint simulation platform construction method for optoelectronic chip design, which is characterized in that, in an electronic design automation platform, a unified model framework of a photonic device is constructed based on a hardware description language, and conversion between frequency domain response and time domain response is realized in the model, including the following steps: a general VerilogA model framework is constructed based on the frequency domain response of the photonic device; a frequency-time domain numerical conversion mechanism is realized in the model; and for the photonic device with dispersion characteristics, a parameterized time domain model is constructed based on a finite impulse response. The application can directly embed the photonic device model into an electronic circuit simulation environment, co-simulate the electronic device, support time-frequency domain analysis of the cascade structure and the loop structure, thereby avoiding the complicated steps of separate simulation by relying on external simulation tools in the process of optoelectronic chip design, and further improving the design efficiency and iteration speed of the chip.

The invention discloses a multi-level voxel simulation system and a cross-level communication method thereof, and relates to the technical field of computer simulation and physical modeling. The system of the present invention includes at least two levels of voxel grids (e.g., coarse grids and fine grids), each voxel in the coarse grid representing a voxel region in the fine grid. During simulation, the coarse hierarchy model quickly simulates global behaviors or performs coarse collision detection, and the fine hierarchy model performs fine calculation on local key areas. When a potential event is detected by the coarse hierarchy, deep simulation of the corresponding fine hierarchy region is triggered through a communication mechanism; and after a fine result is obtained through fine hierarchy calculation, key information is fed back to the coarse hierarchy for global state updating. The hierarchies are kept consistent in modes of sharing occupation information, boundary conditions and the like, so that cross-scale co-simulation is realized. According to the method, waste of calculation in an open area is avoided, and the simulation precision of a detail complex area is ensured.

The disclosed embodiment discloses a method, apparatus, storage medium and program product for orderly collaborative simulation of multiple devices. The method includes: constructing a model of each device to be simulated based on the dependency relationship between multiple devices to be simulated, and assigning a sequence number to each model; instantiating each model, generating a model list, and mapping the sequence number to an index value in the model list; sorting the models in the model list based on the index value to obtain an ordered list; distinguishing the models into explicit step models and implicit step models; obtaining the registered step of the explicit step model, and obtaining the iteration step based on the registered step; increasing the simulation time according to the iteration step, and simulating and calculating the models in sequence according to the arrangement order in the ordered list at the initial time and after each increase. This method can optimize the scheduling and driving of the simulation engine for componentized signal-level device simulation in a single-machine environment, realize the orderly calculation of each model, and improve the simulation efficiency.

Embodiments of the present application provide a method and system for three-dimensional waste cutting and packing simulation for nuclear facility decommissioning engineering. The method comprises obtaining three-dimensional model data, waste storage container data and cutting constraint data of a target nuclear facility; performing format conversion on the three-dimensional model data and the waste storage container data to generate target three-dimensional data and target container data; performing cutting and packing simulation based on a preset optimization engine, the target three-dimensional data, the target container data and the cutting constraint data to generate a simulation scheme; optimizing the simulation scheme based on a preset optimization parameter to generate a Pareto frontier solution set; determining a final selection result in response to user selection in the Pareto frontier solution set; and generating a cutting and packing simulation engineering report based on the final selection result. In this way, waste can be efficiently processed flexibly.

This invention discloses a method for predicting electromagnetic radiation from cables. First, a one-dimensional conductor model of the target cable is established in a three-dimensional simulation space, and its axial direction is divided into multiple segments. Current data for each segment is solved using the finite-difference time-domain method. Then, the three-dimensional simulation space is discretized using a Yee grid, and virtual observation points corresponding to actual observation points are determined. Standard electric field and standard magnetic field update equations are established on the Yee grid based on Maxwell's equations. A field-circuit co-simulation process is established, and in each time step iteration, the current data is equivalently coupled to the standard electric field and standard magnetic field update equations to achieve synchronous updates of transmission line current and spatial electromagnetic field. Finally, this process is executed until a preset termination condition is met, and the time-domain electromagnetic field response at the virtual observation points is extracted as the time-domain electromagnetic radiation prediction result. The advantages are high prediction accuracy and high prediction efficiency.

The invention provides a processor core co-verification debugging method, which comprises the following steps of: in a co-simulation running process of a processor core to be tested, capturing an output verification event, performing standardized storage, and generating a trace file and an interface specification file; automatically generating an independent verification framework compatible with the to-be-tested processor core interface according to the interface specification file; and loading the trace file to drive the verification framework to run, and separating from the processor core to be tested to carry out independent debugging and iteration. According to the invention, the efficiency and reliability of large-scale processor design verification are improved, and the resource overhead is reduced.

The present application relates to a kind of hot rolling production line energy flow and carbon flow, material flow collaborative simulation model construction method, including energy flow, carbon flow, material flow collaborative operation, establish unified space-time, unified granularity data base;Create association rule layer: for energy flow, carbon flow, material flow collaborative relationship, coupling analysis establish unified association rule;Respectively for material flow and energy flow, energy flow and carbon flow, material flow and carbon flow, material flow and carbon flow and energy flow establish network model, the model of mutual relationship and overall relationship of three is established;Energy flow, carbon flow, material flow network modeling is simulated and characterized simulation, can more intuitively show energy flow, carbon flow, material flow network and collaborative operation law;Intuitive display hot rolling production line material flow, energy flow, carbon flow collaborative operation law is realized, for hot rolling production line intelligent production, energy saving and cost reduction, reduce carbon emission etc. Provide more detailed and scientific decision-making basis.

The invention discloses a CFD-based wave glider multi-body dynamics simulation method and system, and the method comprises the steps: building an umbilical cable flexible dynamics equation through employing a concentrated mass method, and obtaining an umbilical cable flexible wave glider rigid-flexible coupling dynamics model through employing a floating body and submerged body dynamics equation as a boundary condition; the method comprises the following steps: constructing a geometric model of a floating body, a submerged body and a hydrofoil, creating a background fluid domain, carrying out regional division on the background fluid domain and the geometric model by utilizing Boolean operation, and constructing a hydrofoil-seawater bidirectional fluid-solid coupling CFD simulation model of the wave glider; building a co-simulation interface based on MATLAB-Fluent, executing time domain co-simulation and iterative updating based on the co-simulation interface, and obtaining power data in the operation process of the wave glider; according to the method, the flexible effect of the umbilical cable and the hydrofoil is introduced into the dynamic model of the wave glider, high-precision fluid-solid coupling of seawater and a structure is realized based on CFD, and the kinematics and dynamics behavior prediction precision in the operation process of the wave glider is improved.

This invention relates to the field of digital twin technology, specifically to a two-dimensional spatial multi-device collaborative coverage simulation method based on digital twins. The method includes acquiring the elevation grid, slope vector, regional soil friction coefficient, and structural parameters of the agricultural machinery such as wheelbase and center of gravity of the area to be operated; calculating the dynamic vertical load and lateral tilting stability moment of each wheel using kinematic and equilibrium models; calculating the lateral slip yaw distance and longitudinal drive slip ratio of the agricultural machinery based on the Coulomb criterion and friction force limits; dynamically correcting the theoretical turning radius and nominal width using slip data to generate a high-precision path node sequence; finally, converting the nodes into four-dimensional spatiotemporal bounding boxes for overlap detection; adjusting the timestamps according to the acceleration response limits of the agricultural machinery entities; and outputting the multi-machine collaborative operation trajectory flow. This invention achieves high-fidelity collaborative simulation of multiple machines through deep coupling of physical fields.

This invention belongs to the field of energy simulation technology and relates to an energy flow network simulation system and method for steel enterprises. It includes: a system configuration module for configuring parameters based on user-inputted information and forming a structured configuration data package; a front-end operation module for configuring a visual interactive interface based on the configuration data package; generating a Gantt chart based on pre-set production and maintenance plans; and drawing a dynamic energy flow diagram based on user-defined equipment and energy nodes; and a back-end service module for calculating energy prediction results based on the Gantt chart, dynamic energy flow diagram, and configuration data package using a pre-set production and consumption model, and performing scheduling optimization when energy prediction results are unbalanced to obtain an energy scheduling balance result. This invention achieves collaborative simulation of production and energy, more intuitively displays the energy balance process, provides a more comprehensive simulation platform for the steel industry, and facilitates systematic management by enterprises.

The invention provides a time sequence synchronization method in a software HDL co-simulation system. A clock management module and a DPI mutual exclusion lock module on a software side are included. A DUT model at a hardware side; the DPI interface is used for instruction interaction between a software side and a hardware side; the method comprises the following steps: S1, a clock management module accesses a DPI mutual exclusion lock module to obtain a DPI interface state; s2, when the state of the DPI is that the DPI is idle, the clock management module obtains the time point of calling the DPI last time and the current CPU time point, and the time interval of the software side is obtained through calculation; s3, determining the number of simulation cycles of the DUT model based on the time interval; and S4, calling a DPI interface by the clock management module to push the simulation loop number of turns of the DUT model, and repeating the steps S1 to S4 until the co-simulation is finished so as to realize the time sequence synchronization of the simulation time domain and the software side.

The application provides a kind of equipment digital twin dynamic damage assessment method and system based on multi-physical field joint simulation, related to digital twin and computer simulation technical field.The method comprises: constructing the collaborative simulation middleware of mapping multi-physical field digital twin model;Access real-time telemetry data, drive distributed multi-physical field solver node to execute joint simulation deduction;Monitor node interaction message state, identify the target solver node of message interaction exception;Block the original publishing authority of the target solver node and redirect the output pointer to the isolated memory area;Broadcast rollback instruction to the remaining normally operating nodes to backtrack to the nearest steady-state synchronization checkpoint;Load virtual degradation agent process;Bind the virtual degradation agent process to the communication topic channel defined for the target solver node in the interface control file, output degraded substitute data, maintain joint simulation deduction and output evaluation results.The application ensures the continuity of equipment damage cascade assessment deduction.

The invention discloses a pipe gallery robot-dog collaborative operation simulation and optimization method and system based on a large model and digital twinning. The method comprises the steps of constructing a pipe gallery digital twinning system framework, dynamically correcting an environment dynamic model based on a physical information neural network, and constructing a deep neural operator mirror image model to perform high-fidelity simulation and task planning. Analyzing a natural language instruction of a user through a large language model control interface based on a retrieval enhancement generation technology and generating an executable multi-machine-dog cooperative control instruction sequence; simulation verification and safety performance evaluation are carried out on an instruction sequence in a digital twin system, an operation quality and energy consumption prediction sub-model is constructed based on a mirror image model, and global dynamic collaborative optimization of tasks, charging and multi-machine dog resources is realized through mixed integer programming in combination with a virtual charging network and a knowledge graph rule base; and deploying, running and generating a natural language report and feeding back to the user. And integrated operation of man-machine natural interaction, virtual-real collaborative simulation and intelligent scheduling optimization in pipe gallery operation and maintenance is realized.