79 results about "Simulation algorithm" patented technology

The invention provides a wire harness crimping quality intelligent detection and self-adaptive control method and system, and the method comprises the steps: calculating a stress distribution value of a crimping point through the obtained internal metal flow distribution characteristics in combination with a mechanical strength simulation algorithm, and obtaining a mechanical strength evaluation index; if the mechanical strength evaluation index is lower than a preset threshold value, triggering an alarm signal, extracting deviation type data from the alarm signal, and judging a quality judgment result; generating a feedback control instruction according to the judged quality judgment result, transmitting the feedback control instruction to crimping equipment to adjust crimping force parameters, and obtaining optimized crimping process data; updating a real-time monitoring database by adopting the obtained optimized crimping process data, and determining a geometric parameter reference value of a subsequent crimping batch; and matching the determined geometric parameter reference value with a vehicle safety requirement to obtain a final quality verification report.

The invention discloses an engineering machinery industry green factory evaluation method and system. The method comprises the steps of obtaining a pre-formulated green factory evaluation index system; calculating the subjective weight of each secondary index relative to the target layer; introducing a Monte Carlo simulation algorithm, and calculating an objective weight and an evaluation matrix of each secondary index corresponding to each Monte Carlo simulation relative to the target layer; based on a minimum relative information entropy principle and a Lagrange multiplier method, combined with the subjective weight and the objective weight of each secondary index relative to the target layer, calculating the comprehensive weight of each secondary index relative to the target layer corresponding to each Monte Carlo simulation; on the basis of the comprehensive weight and evaluation matrix of each secondary index relative to the target layer, constructing a fuzzy comprehensive evaluation matrix corresponding to each Monte Carlo simulation; and obtaining a green factory grade evaluation result based on the fuzzy comprehensive evaluation matrix corresponding to each Monte Carlo simulation and a preset score interval corresponding to each comment grade. According to the method, the accuracy and objectivity of green factory evaluation can be remarkably improved.

The invention belongs to the field of infusion monitoring, and particularly relates to a target container liquid level visual detection and early warning method and system.The method comprises the steps that an enhanced image and a three-dimensional point cloud sequence are obtained by collecting a target container deformation image, a three-dimensional point cloud and flexibility attribute data and conducting polarized light enhancement preprocessing; obtaining a deformation feature space and a deformation liquid level line feature sequence of the target container at different time points by means of a spatial-temporal feature extraction model, and constructing a three-dimensional dynamic deformation model in combination with three-dimensional modeling, finite element analysis and a NeoHookean model; based on the model, an undeformed standard model and a simulation algorithm, obtaining a correlation mapping function of the liquid level line deviation and a deformation characteristic space; the correlation mapping function is fed back to the spatial-temporal feature extraction model, the height and coordinates of the corrected deformation-free liquid level line are obtained in combination with the real-time target container deformation image, real-time monitoring and early warning in the infusion process are finally achieved in combination with a preset early warning rule, and the accuracy and reliability of infusion monitoring are improved.

According to the BDIM-based propeller cavitation streaming simulation algorithm provided by the invention, the particularity of a propeller structure is considered, a hyperbolic tangent encryption function is introduced into a near-wall region of the propeller structure to carry out non-uniform grid division, and high-gradient flow and boundary layer development of a blade tip region can be effectively captured, so that the resolution of a cavitation source region and a vortex core is improved; in multi-phase interface tracking, a VOF method is adopted to carry out high-resolution reconstruction on fluctuation behaviors of a vapor-liquid interface, interface diffusion distortion can be avoided, interface definition and mass conservation can be taken into consideration in combination with double-field evolution of a volume fraction function and an intermediate velocity field, and the method is suitable for being applied to multi-phase interface tracking. The method is particularly suitable for dynamic capture of a cavitation primary area and a complex gas-liquid phase mixing area in a propeller wake, and the precision and reliability of simulation on the cavitation occurrence position, the time scale and the form can be improved.

A numerical control cutting process digital twinning implementation method based on three-dimensional reconstruction comprises the steps that a digital twinning model and a physical logic twinning model of a numerical control machine tool and a geometric model of a workpiece and a cutter are constructed respectively, and real-time synchronization of a physical machine tool model and a digital twinning machine tool model is achieved by transmitting motion data and machine tool state data in real time; the cutting state of a workpiece and a cutter is calculated in real time through a cutting simulation algorithm, collision detection simulation is carried out, a workpiece model constructed based on a one-way line cluster model is converted into a standard STL triangular mesh model based on a three-dimensional reconstruction algorithm, and the triangular mesh model is mapped into a digital twinning monitoring scene through coordinate system conversion. According to the method, a high-precision digital twinborn model is constructed, real-time data synchronization and cutting process simulation are combined, and rapid conversion between a simulation data model and a display model is realized based on a composite block algorithm.

The invention relates to the field of golf, in particular to a portable multi-eye golf real-time detection and measurement method and equipment and electronic equipment. The method comprises the following steps: carrying out coupling calibration on a laser line direction and a camera coordinate system, and establishing a reference direction of measurement; acquiring a ball position based on the reference direction, judging whether the ball position is within a preset ball hitting range or not, and if yes, adjusting each camera and each auxiliary lighting device to be in a preset first working mode according to the ball position and a preset ball hitting mode; the ball hitting process is monitored, state information at different moments is screened according to a preset comparison rule, multi-view image data associated with state change moments are stored, and the state information comprises club state information, ball state information and environment state information; according to the multi-view image data and a preset image processing algorithm, calculating a three-dimensional space position including a sphere, a ball rod and an environment; and according to the three-dimensional space position and a simulation algorithm, acquiring flight data of the sphere and outputting the flight data.

The invention provides a tunnel construction method, system and device based on intelligent self-adaptive control and a storage medium, and the method comprises the steps: obtaining environment perception data of an unexcavated area of a tunnel, constructing and dynamically updating a virtual geologic model of the unexcavated area of the tunnel according to the environmental perception data based on a digital twinborn technology, and predicting to obtain a potential geologic risk; generating a corresponding support scheme based on the virtual geologic model and the potential geologic risk so as to implement advanced or radial support operation; actual tunneling data in the excavation process are obtained, and target control parameters of a current tunneling cycle are dynamically generated through advanced analog simulation based on the virtual geologic model and the actual tunneling data; and based on the deviation between the target control parameter and the actual tunneling data, dynamically adjusting the tunneling speed of the tunneling mechanism and the rotating speed of the cutterhead through a simulated PID algorithm. According to the self-adaptive tunnel construction method, high-precision construction control can be achieved on the premise that construction safety is guaranteed, and the tunneling efficiency is improved.

The present application belongs to the technical field of water, wind, light and storage multi-capability complementary risk evaluation, and relates to a kind of fast high-fidelity integrated operation risk evaluation method of watershed water, wind, light and storage. Firstly, the triggering and transmission mechanism of multi-dimensional risk under multiple uncertainty conditions is analyzed, and the risk generation principle is revealed. Secondly, a risk index quantification method based on boundary damage depth is proposed, which can quantify multi-dimensional risk according to the current operating state and boundary conditions, and help the simulation algorithm directly output risk assessment results. A panoramic time series simulation model integrating expert knowledge is constructed. The explicit water-electricity-storage scheduling capability is introduced into the operation simulation framework through expert experience rules, which not only helps to determine the priority of multi-dimensional risk avoidance, but also ensures the interpretability and reliability of the simulation results. The present application also solves the low efficiency problem caused by the introduction of a large number of 0-1 variables to realize the nonlinear curve of water and electricity and the charging and discharging logic of energy storage, as well as the difficulty of identifying the water-electricity-storage scheduling sequence.

The invention provides an earth surface two-dimensional hydrodynamic force and SCS curve number method-based infiltration coupling simulation algorithm, which comprises the following steps: aiming at each grid node of an earth surface two-dimensional hydrodynamic force algorithm, on the basis of a known current earth surface water accumulation amount, not considering infiltration, executing earth surface two-dimensional hydrodynamic force calculation of a next calculation period in advance, and calculating the earth surface two-dimensional hydrodynamic force; judging whether a newly-added water source containing infiltration, an existing water source and specific values thereof exist or not; on the basis of an SCS curve number method, the infiltration water amount for the newly-added water source in the next calculation period is obtained through calculation, then the infiltration water amount for the existing water source in the next calculation period is obtained through calculation, and therefore the actual infiltration water amount in the next calculation period is determined; and correcting and executing the earth surface two-dimensional hydrodynamic calculation of the next calculation period according to the actual infiltration water amount to obtain the earth surface water accumulation amount after the next calculation period. The problem that an existing earth surface two-dimensional hydrodynamic algorithm neglects the water seepage amount can be solved.

The application provides a BIM construction schedule optimization method and system based on multi-agent autonomous decision-making, and belongs to the field of building information technology. The BIM construction schedule optimization method comprises the following steps: constructing a BIM construction schedule model based on a plurality of construction agents, wherein the BIM construction schedule model comprises a multi-agent construction simulation algorithm model; in the multi-agent construction simulation algorithm model, a plurality of construction agents determine the current construction action according to the real-time field state of the construction schedule; wherein each construction agent represents a kind of construction resource in the construction schedule and autonomously decides to execute the construction task; a plurality of construction agents autonomously execute the construction action respectively, and output simulation result data corresponding to the executed construction action; and the model state of the BIM construction schedule model is updated according to the simulation result data. The application can solve the problem that the existing technology is difficult to respond to the field changes in the construction schedule in the one-way static deduction mode.

The invention discloses an environment coordinated regulation digital twinning method and system, and belongs to the field of environment regulation, and the environment coordinated regulation digital twinning method comprises the following steps: constructing a dynamic digital model of a fish and vegetable symbiotic system in a virtual space based on a digital twinning technology, the dynamic digital model copies all components of the fish and vegetable symbiotic system; compared with the prior art, the method has the advantages that compared with traditional management depending on artificial experience, the dynamic digital model is constructed, real-time mapping and interaction between a physical system and a virtual model are achieved, fuzzy experience judgment is converted into accurate analysis based on multi-dimensional data, and the method is easy to implement and high in practicability. Through a simulation algorithm and an ecological knowledge base, optimal environmental parameters can be dynamically deduced, biological abnormality can be intelligently diagnosed, and finally, cooperative regulation and control are performed through automatic control equipment, so that the limitation of traditional management is thoroughly changed, and all-weather accurate regulation and control and risk early warning are really achieved.

The application provides a vehicle financial credit method, relates to the technical field of fleet credit data processing, and comprises the following steps: in response to a data deletion request, determining the data fingerprint of a vehicle to be deleted in a target fleet; determining first retained data based on a data fingerprint list and initial data of the target fleet; determining the influence level of data deletion on a credit model based on the data fingerprint list and by using a simulation algorithm; determining the total matrix of fleet batch contribution degrees of the vehicle to be deleted to the credit model based on the multi-dimensional features of each vehicle of the target fleet and the dimensional features of the vehicle to be deleted; performing cooperative counter-training on the credit model based on the total matrix of fleet batch contribution degrees to generate a counter-training credit model; and inputting the first retained data of the target fleet into the counter-training credit model to generate a first credit result. While completely removing target data, the application retains the common features of retained vehicles of the fleet, and can maintain the discriminant stability of the credit model under local data loss.

The invention discloses a ship information system reliability simulation and evaluation method. The method comprises the following steps: 1) ship information system fault identification based on a function model; the fault is comprehensively identified from three dimensions of a function domain, a physical domain and a system level; 2) building a ship information system reliability simulation model based on fault logic; and 3) realizing quantitative evaluation of reliability for the constructed reliability simulation model. The invention provides a fault logic-based ship information system reliability simulation model construction method, which is characterized in that a reliability simulation algorithm is designed according to the actual operation process of a ship information system, and statistical analysis is carried out after analogue simulation to obtain a ship information system reliability evaluation result.

The invention relates to the technical field of digital information processing and engineering surrounding rock safety monitoring, and particularly provides a surrounding rock stress field visualization method and system based on digital twinning, a working condition event module used for analyzing a working condition event from dynamic working condition data and generating a twinning update instruction based on a preset trigger rule; the digital twinning state synchronous updating module is used for updating the surrounding rock digital twinning model and outputting an updated twinning state version corresponding to the updating time window; the stress field generation module is used for generating surrounding rock stress field data through a simulation algorithm based on the updated twin state version, the boundary condition and the load change parameter; and the visual data generation and output module is used for converting the surrounding rock stress field data into visual layer data associated with the update time window and outputting the visual layer data to the display terminal, so that the accuracy of engineering surrounding rock assessment and the level of construction safety management are improved.

The invention provides a dynamic pressure pulsation simulation algorithm-based guide vane optimization control method for a hydraulic transition process of a pump turbine, which comprises the following steps of: carrying out one-dimensional hydraulic transient simulation to obtain a water hammer mean pressure change curve of a volute and a draft tube in the transition process; carrying out a full-pressure pulsation test based on a pump turbine model, and establishing a pressure pulsation database; a one-dimensional hydraulic transient simulation result and full-pressure pulsation test data are fused, a coupling relation model between the guide vane closing track and the pressure pulsation response is constructed, and the influence of different guide vane closing rules on the pressure pulsation strength is quantitatively analyzed; and with minimization of the pressure pulsation amplitude as an optimization target, based on a prediction result of the coupling relation model, screening out a guide vane closing rule enabling the water attack mean pressure and the pressure pulsation amplitude to be comprehensively optimal. According to the method, the pressure pulsation amplitude is introduced as a core parameter to optimize the guide vane closing method, the actual stress state of the pump turbine set is truly reflected, and the system safety is improved.

The invention discloses a panoramic power market situation deduction analysis method, system and device and a medium. The method comprises the steps that panoramic power initial parameters used for deducing a future target period are configured; performing deduction calculation through a parallel coupling simulation algorithm to obtain power generation side panoramic technology contribution situation data of a future target period; determining power utilization side basic technical responsibility based on the power generation side panoramic technical contribution situation data, allocating system technical service demands to different user groups according to a first allocation rule, and calculating a power utilization side total technical load and a unit electric quantity technical load; and generating a panoramic power market technology situation analysis map according to the power generation side panoramic technology contribution situation data and the power utilization side total technology load, and realizing situation deduction analysis and risk early warning. According to the invention, market technology analysis is improved from post-event statistics to beforehand deduction and in-event early warning, and a brand new quantitative analysis tool is provided for power system planning, operation optimization and risk prevention and control.

The application relates to a wave impact process simulation system and method for a straight wall structure, wherein a collecting device is arranged to acquire wave height data of water flow fluctuation and pressure data at a plurality of sampling points on a straight wall type building in real time, a simulation device is arranged to utilize the wave height data and the pressure data obtained by the collecting device, and a smooth particle fluid hydrodynamic simulation algorithm is used to obtain pressure information at different heights of the straight wall type building when regular waves impact the straight wall type building. The smooth particle fluid hydrodynamic simulation algorithm can verify the numerical model of the motion characteristics of the regular waves and perform numerical simulation of the wave impact on the straight wall type building, and can also calculate the wave face lifting duration curve in front of the slope and on the slope and the pressure values at different heights of the straight wall type building when the regular waves impact, so that the simulation effect is effective.

The invention discloses a slice model supporting effect prediction method and system based on a neural network. The method comprises the steps that slice data of a model to be subjected to 3D printing and component operation of a user on the model are acquired; based on a support structure identification algorithm, identifying a support member in the model slice data; according to the component operation, based on a simulation algorithm, determining simulation change data corresponding to the model slice data; and predicting a support change effect of the model under the operation of the component based on a neural network algorithm according to the simulation change data and the support component. It can be seen that accurate supporting effect prediction based on user operation and data simulation can be achieved, the optimization accuracy and printing stability of the 3D printing model supporting structure are improved, and the supporting failure risk caused by misoperation is reduced.

The invention discloses a ground source heat pump heat exchanger coupling performance simulation algorithm based on an unsteady-state numerical model, and the algorithm comprises the following steps: S100, designing a triple iteration algorithm, and achieving the simulation of receiving the load of a heat exchanger and calculating the on-way temperature and the pipe wall temperature of a fluid at each time step; step S200, designing a quadruple iterative algorithm to realize simulation of receiving heat pump load, calculating fluid on-way temperature and pipe wall temperature, and calculating backfill and rock-soil temperature; according to the method, the assumption of steady-state heat transfer in the hole is abandoned, and the unstable-state heat transfer models are established in fluid, pipe walls, backfill materials in the hole and rock soil areas outside the hole, so that the method is more in line with physical practical conditions and can accurately accord with measured values even in 30s-level short-time-step simulation.

The present application relates to the field of data processing, especially to a highway karst area roadbed slope stability simulation method based on digital twinning. Including: obtaining and preprocessing multi-dimensional data to obtain preprocessed data, performing fusion processing on the preprocessed data to obtain fused data; based on the fused data, a three-dimensional virtual model of the roadbed slope is constructed for dynamic updating and simulation; based on the three-dimensional virtual model, a structural intelligent evolution graph field coupling simulation algorithm is introduced to analyze the stability of the highway karst area roadbed slope, and the stability analysis result of the highway karst area roadbed slope is obtained. The technical problems of poor accuracy and poor self-adaptability of highway karst area roadbed slope stability analysis are solved.

The invention discloses a Modelica language-based supercritical carbon dioxide Brayton cycle system modeling simulation method, which comprises the following steps of: constructing a system key equipment model according to a mathematical physical equation of equipment characteristics; forming a flow-pressure iterative solution scheme of the system according to the key equipment model and the volume model of the system; all the equipment models are connected according to a design scheme, and equipment structure parameters and simulation iteration initial values are set to form a system simulation model; setting a simulation interval, an output interval and a simulation algorithm on the MWORKS platform; and performing system model inspection and simulation analysis according to the set system simulation model to obtain the operation characteristics of the supercritical carbon dioxide Brayton cycle system. According to the method, rapid reconstruction of a system topological structure, convenient adjustment of equipment parameters and efficient analysis of system characteristics are realized, and reliable data support is provided for engineering design and optimization.

The invention provides a fault prediction data analysis method and system applied to an instant freezer. Firstly, a working condition change sequence and a working condition adjustment rule are generated based on operation basic parameters of the instant freezer; inputting the working condition change sequence into a response simulation algorithm to obtain a response behavior record and response deviation information; calling a working condition adjusting rule to correct a working condition parameter combination according to the response deviation information, and obtaining a final instant freezer response behavior record through multiple iterations; then, the final response behavior record is associated and matched with an instant freezer fault inducement library, and a fault association result containing potential fault types and occurrence probabilities is generated; and finally, generating a fault prediction report containing potential fault type description, fault occurrence probability distribution and prevention suggestions based on a fault association result. According to the invention, the accuracy and comprehensiveness of fault prediction of the instant freezer are improved.

The invention discloses a self-adaptive retrieval enhancement generation method and system based on multi-dimensional semantic routing and a medium. The method comprises the following steps: receiving a user query, identifying data dependency and cognitive complexity of the query through a semantic routing model, and carrying out bottom classification in combination with a regular matching mechanism; a dynamic routing instruction is generated according to an identification result, and corresponding processing capacity is activated in a self-adaptive mode from an intuitive generation module, a retrieval enhancement module, an algorithm thinking reasoning module and the like; wherein the retrieval enhancement module has a result correlation self-checking function and an internet search bottom-taking function, and the algorithm thinking reasoning (AoT) module adopts a context example to guide a large model to simulate an algorithm search and a backtracking path in single generation; and finally, carrying out validity detection and closed-loop repair on the answers through the quality evaluation model. The problems that a traditional RAG system is rigid in process, complex, insufficient in reasoning capacity and lack of a fault-tolerant mechanism are solved, and the resource efficiency, the logic depth and the answer robustness of the question-answering system are remarkably improved.

The embodiment of the invention discloses a while-drilling azimuth electromagnetic wave logging self-adaptive simplified simulation method and a while-drilling azimuth electromagnetic wave logging self-adaptive simplified simulation device. The key point of the scheme lies in that self-adaptive simplified calculation of a complex fault model can be realized by constructing a differentiation coefficient and a simplified termination coefficient and combining a one-dimensional rapid simulation algorithm aiming at fault model characteristics. In combination with the while-drilling azimuth electromagnetic wave logging edge detection capability, the theoretical contribution region is divided, and the differentiation coefficient is constructed according to the theoretical contribution region, so that quantitative judgment on whether the model is simplified or not can be realized; secondly, the invention provides a simplification method for continuously increasing the subdivision number of contribution areas, a simplified termination coefficient is constructed, and self-adaptive control over the model simplification process can be achieved; and thirdly, the method only relates to simplified model generation, high-dimensional numerical calculation is not needed, and the solving speed is high.

The application discloses a submarine landslide multi-source data numerical simulation algorithm and belongs to the technical field of marine geological disaster simulation. The application comprises multi-source data acquisition and preprocessing, collection of multiple types of original data related to submarine landslides, and effective data sources in a unified format through data preprocessing. The application precisely focuses on the feature area playing a key role in landslide evolution by constructing a weighted fusion matrix and introducing an improved convolutional neural network with an attention mechanism, and efficiently extracts core parameters. The application not only realizes deep fusion of multi-source heterogeneous data, but also automatically mines implicit features through deep learning, greatly improves the accuracy and physical interpretability of feature extraction, comprehensively considers multiple boundary conditions such as seawater dynamic load, pore water pressure, contact friction and initial stress, realizes comprehensive description of the complex environment of the seabed, makes the initial state closer to the actual geological conditions, and significantly enhances the physical authenticity of the model.

The invention provides an indoor temperature determination method fusing physical constraints. The indoor temperature determination method can be applied to the technical field of temperature control and machine learning. The method comprises the steps that heating system driving data at historical moments are processed through a temperature prediction model, the indoor evaluation temperature at a target moment is obtained, and the temperature prediction model is obtained based on a building heat loss value training neural network model; the building thermal loss value is obtained according to a difference degree between a sample evaluation temperature change rate obtained based on a sample indoor evaluation temperature and a sample simulation temperature change rate obtained based on an analogue simulation algorithm, and the simulation temperature change rate represents the interior of a simulation sample building; a temperature instantaneous change result meeting energy conservation is generated at the historical moment due to the instantaneous difference value between the obtained heat and the heat loss, and the building heat loss value is used for physically constraining the indoor evaluation temperature of the temperature prediction model to meet the instantaneous heat balance of energy conservation.

The invention discloses a geological model attribute value correction method and device, relates to the technical field of geological model local reconstruction, and mainly aims to improve the quality of a geological model. According to the main technical scheme, a target area with the fitting error exceeding a preset threshold value in an initial geologic model is determined through a preset area determining method; according to the method, actually measured geological attribute values of nodes in a target area and a preset range are taken as hard constraints, a preset variation function is combined, multiple groups of candidate attribute value distribution of the target area is generated by adopting a stochastic simulation algorithm, and then a preliminary optimal scheme is screened out according to geological features of the target area. And replacing the geological attribute value of the node without the measured value in the initial model target area with the simulation value corresponding to the preliminary optimization scheme to obtain a preliminary correction geological model. If the preliminary correction geologic model still has a new target area with an error exceeding a threshold value, adjusting a node simulation value according to an error fine adjustment mechanism until the error reaches the standard; and if not, directly setting the preliminary correction model as the optimal geologic model.

The invention provides an earth surface two-dimensional hydrodynamic force and Horton method-based infiltration coupling simulation algorithm and device, and the algorithm comprises the steps: carrying out the earth surface two-dimensional hydrodynamic force calculation of a next calculation period in advance without considering infiltration on the basis of the known current earth surface water accumulation amount, so as to determine an infiltration-containing water source of the next calculation period; if the infiltrated water source is not zero, determining the actual infiltrated water amount based on a Horton method; if the infiltrated water source is 0, determining that the actual infiltrated water amount is 0; and determining the accumulated infiltration water amount after the next calculation period, correcting and executing the earth surface two-dimensional hydrodynamic calculation of the next calculation period according to the actual infiltration water amount to obtain the earth surface water accumulation amount after the next calculation period, and repeating the process until the infiltration simulation process is finished. The problem that an existing earth surface two-dimensional hydrodynamic algorithm neglects the water seepage amount can be solved.

The application provides a vehicle financial credit method, relates to the technical field of fleet credit data processing, and comprises the following steps: in response to a data deletion request, determining the data fingerprint of a vehicle to be deleted in a target fleet; determining first retained data based on a data fingerprint list and initial data of the target fleet; determining the influence level of data deletion on a credit model based on the data fingerprint list and by using a simulation algorithm; determining the total matrix of fleet batch contribution degrees of the vehicle to be deleted to the credit model based on the multi-dimensional features of each vehicle of the target fleet and the dimensional features of the vehicle to be deleted; performing cooperative counter-training on the credit model based on the total matrix of fleet batch contribution degrees to generate a counter-training credit model; and inputting the first retained data of the target fleet into the counter-training credit model to generate a first credit result. While completely removing target data, the application retains the common features of retained vehicles of the fleet, and can maintain the discriminant stability of the credit model under local data loss.

The application belongs to the technical field of electric power storage, and discloses a power warehouse operation simulation and bottleneck diagnosis system based on digital twinning. A multi-source perception architecture is constructed through an acquisition and adaptation module, covering full-factor data such as equipment operation and personnel operation. Combined with a five-dimension fusion model of a twinning modeling module and a laser scanning modeling technology, the physical space and operation logic of the power warehouse are accurately restored. A simulation and deduction module adopts a fusion simulation algorithm and a double-scene template library to realize linkage simulation of the whole process and control instructions of warehousing, storage, picking, and delivery, can simulate the operation state under different scenes, and avoid efficiency problems such as equipment waiting and path redundancy in advance. A bottleneck diagnosis module constructs a three-dimension evaluation system of operation state, control parameters, and equipment performance, integrates real-time working condition data and simulation analysis results, scientifically distributes index weights through an analytic hierarchy process, and realizes quantitative division of bottleneck grades.