143 results about "Simulation modelling" patented technology

The invention discloses a composite material four-nail connection structure strength prediction and bolt layout optimization method based on a physical information neural network, and belongs to the technical field of composite material design. The method comprises the following steps: carrying out simulation modeling and verification on the composite material four-nail connection structure; generating and expanding a basic data set; constructing and training a physical information neural network model; performing system calibration and verification on the prediction precision and generalization ability of the physical information neural network model by using experimental data; and constructing a composite material four-nail connection structure bolt layout automatic optimization framework, and outputting optimal bolt layout parameters. According to the method, the problem of physical unreasonable prediction of a pure data driving model in a data sparse region is solved, efficient collaborative optimization under geometric constraints of bolt spacing, edge distance and the like is realized, a complete closed loop from rapid strength evaluation to automatic layout optimization is realized, and the design efficiency and reliability of a composite material four-nail connection structure are improved.

The invention discloses a digital twinning-based intelligent simulation control system for a power system, and the system comprises a data processing module which is used for collecting and preprocessing the operation data of the power system; the storage mapping module is used for mapping the data to the virtual architecture and generating a twin snapshot sequence; the factorization module is used for executing graph embedding and node decomposition to generate embedding features; the twinning mapping module is used for constructing a twinning mapping network and realizing bidirectional fusion; the simulation modeling module is used for executing health evolution and power flow risk modeling on the GPU to generate a knowledge graph; the strategy solving module is used for carrying out constraint calculation on the knowledge graph and screening an optimal strategy; and the deduction regulation and control module is used for generating a causal path based on graph backtracking and completing closed-loop control. Real-time mapping, intelligent deduction and self-adaptive regulation and control of the power system are realized through digital twin modeling and GPU parallel simulation, and the scheduling precision, the response speed and the operation stability are remarkably improved.

The invention relates to the technical field of railway maintenance education, in particular to a high-speed railway four-electricity system intelligent teaching system and method based on AI, and the method comprises the steps: a teaching data obtaining module collects teaching process data, student learning tracks and industry fault data; the virtual simulation modeling module is fused with a BIM model and a technical specification text to construct a four-electric system twinborn body; the AI intelligent analysis engine constructs student ability portraits through a machine learning algorithm, generates a personalized learning path and intelligently answers questions; the virtual-real teaching interaction module builds a digital-intelligent practical training scene, carries out three-dimensional visual error correction and remote guidance through real-time motion recognition, and outputs practical training data. The cross-professional fault simulation module carries out cross-professional fault linkage simulation deduction through an association rule mining algorithm and outputs a deduction result; and the teaching effect evaluation module establishes a binary evaluation system combining process and practical operation skill assessment, and outputs teaching effect data. Therefore, the problems of fixed teaching strategy, low precision and the like in the prior art are solved.

The application discloses an airplane hydraulic servo actuating system simulation method based on digital twinning, and the method comprises the following steps: (1) constructing a digital twinning hydraulic simulation model and a digital twinning three-dimensional visual model of an airplane hydraulic servo actuating system physical system; (2) storing simulation model output data of a monitoring point of the digital twinning hydraulic simulation model and sensor acquisition data of the airplane hydraulic servo actuating physical system in real time and synchronously to form twinning data; (3) comparing and analyzing the simulation model output data and the sensor acquisition data, iteratively optimizing the digital twinning hydraulic simulation model through a model optimization module, and simultaneously performing three-dimensional visual demonstration on the working condition of the airplane hydraulic servo actuating virtual model. The application can provide a simulation modeling and optimization method for airplane hydraulic servo actuating system design, and provide a reference for research and verification of virtual-real mapping technology of the airplane hydraulic servo actuating system based on digital twinning.

The invention provides an engine cylinder cover thermal fatigue virtual test verification method and system, and relates to the technical field of virtual simulation modeling, and the method comprises the steps: obtaining the micro-macro parameter characteristics of an engine cylinder cover; constructing a parameterized model of micro-macro coupling; performing reverse solution on the control parameters of the physical rack based on a target temperature circulation curve set by a user to obtain a boundary condition parameter set required by a virtual test; generating a virtual-real homologous file according to the parameterized model and the boundary condition parameter set; actual measurement temperature data after the physical rack executes the control instruction file and simulation temperature data after the finite element analysis software executes the simulation input file are collected; according to the two-dimensional topological structure of the fire power surface, virtual thermocouple measuring point coordinates are generated; establishing data channel mapping according to the measuring point coordinates of the virtual thermocouple; calculating temperature errors of the plurality of measuring points; when the temperature error exceeds a threshold value, a correction prompt for the measuring point is output; and verifying the parameterized model according to the correction prompt.

The present application belongs to the technical field of power transmission line structure health monitoring, and discloses a power transmission line tower group structure mechanics response and multi-source remote sensing parameter fusion analysis method based on graph neural network. The method aims at the problems of existing finite element simulation modeling complexity, incomplete sensor monitoring, lack of physical mapping of multi-source remote sensing data and tower mechanics response, acquires and pre-processes tower structure parameters and multi-source remote sensing data, and constructs a tower group graph data model; taking span as a unit, combining conductor mechanics equation to calculate load and unbalanced tension, building a graph neural network model integrated with tower axial force and bending moment bearing capacity physical regularization constraint; after training by historical working condition data, inputting new remote sensing and meteorological data to reconstruct tower group mechanics response field, generating risk early warning according to safety threshold. The present application realizes deep fusion of mechanics mechanism and remote sensing data, quickly and accurately reconstructs tower group mechanics response field, and outputs the results conforming to the structure mechanics balance law, thereby providing technical support for power transmission line health monitoring.

The invention discloses a simulation modeling system for an active locking ring structure of a front jacking engine hood and a control method, which can solve the problems of large workload caused by detailed modeling of all parts in traditional modeling and insufficient simulation precision caused by neglecting rotation resistance and simplifying friction coefficient setting. By optimizing the modeling process, accurately simulating the damping response between the parts and combining test calibration, the method effectively simplifies the modeling work, significantly improves the simulation precision, reduces the test verification cost in the vehicle development process, and provides powerful support for efficient research and development of the front jacking engine hood.

The invention provides a medical disinfection parameter control method and a sterilization device, and relates to the technical field of disinfection robotics.The method comprises the steps that microorganism types and microorganism concentrations are rendered to a to-be-disinfected three-dimensional area, and a three-dimensional target space is constructed; performing simulation modeling according to the disinfection attribute data and the three-dimensional target space to generate a disinfection twinborn model; carrying out disinfection scheme optimization by using the disinfection twinborn model and by taking meeting of an expected disinfection index as a constraint, so as to obtain an optimized disinfection scheme; and performing disinfection effect influence analysis according to the environment temperature and the environment humidity, and generating disinfection influence deviation to compensate the optimized disinfection scheme so as to obtain an optimal disinfection scheme. By means of the control method, the technical problems that according to an existing disinfection robot control method, due to the fact that a matched disinfection scheme cannot be set according to the state of the to-be-disinfected area, excessive disinfection or insufficient disinfection is likely to occur, and the area disinfection quality is poor can be solved, and the effects of improving the disinfection quality and efficiency and saving disinfection resources can be achieved.

The invention discloses a simulation modeling method and device for a nanoscale device, relates to the technical field of semiconductor modeling and simulation, and aims to solve the problem that efficiency and precision cannot be considered in nanoscale device modeling and simulation in the prior art. The method comprises the steps that key material parameters are extracted from electronic structure basic data of a target nanoscale device, a default material parameter library in TCAD software is corrected based on the key material parameters, and a corrected material parameter library is obtained; electronic structure basic data is obtained based on a density functional theory; based on the corrected material parameter library, optimizing adjustable parameters of a ballistic transport model preset in TCAD software in combination with a transport IV curve to obtain a ballistic transport model after parameter optimization; the transportation IV curve is generated by adopting a quantum transportation method based on an unbalanced Green function in combination with key material parameters; and integrating the key material parameters with the ballistic transport model after parameter optimization, and constructing a simulation parameter library of the target nanoscale device.

The invention relates to a multi-body dynamics simulation modeling method for a laser radar control system of a paddy field laser land leveler, and the method comprises the steps: building a whole machine mechanical model based on a multi-body dynamics simulation environment, enabling a virtual marking point and a measurement function to be equivalent to a laser radar sensing module, and integrating an embedded controller based on a built-in calculation function of software, thereby achieving the simulation modeling of the laser radar control system of the paddy field laser land leveler. Full-link closed-loop simulation of'perception-decision-execution-response 'is realized in a unified platform; by simulating various road excitation and operation conditions, the tracking precision, response speed and stability of a control algorithm can be directly verified in a virtual environment, and parameter optimization is completed. The method solves the key problem that a control system lacks a real controlled object and excessively depends on a physical model machine in the early stage of development, achieves full-digital system-level verification and performance prediction, can remarkably shorten the research and development period and reduce the development cost, and belongs to the technical field of agricultural machinery control system simulation verification.

This application relates to the field of dynamic modeling technology, specifically to a multiphysics coupling modeling method for a dual-stator synchronous generator. The method includes: simulating and modeling the multiphysics of the dual-stator synchronous generator and discretizing the mesh; analyzing the magnetic pull force, simulated temperature, and simulated stress per unit area for each discretized element; determining the distribution differences of magnetic pull force, simulated temperature, and simulated stress among the elements to obtain the spatial distribution deviation and multiphysics difference of each element, thereby obtaining the distribution anomaly degree of each element; calculating the synergistic influence degree of each element to obtain the anomaly significance of each element; constructing four-dimensional feature points for each element using the anomaly significance, magnetic pull force per unit area, simulated temperature, and simulated stress; and obtaining characteristic outlier elements in the finite element physical model based on these features, thereby achieving structural optimization of the dual-stator synchronous generator. This application can improve modeling accuracy and optimize the structure of the dual-stator synchronous generator.

The invention discloses a microstructure cutter cutting modeling method and system based on a preorder preparation process, and the method comprises the steps: building microstructure features in a manner of carrying out ultrasonic ploughing machining on a first workpiece geometric model for solving the problems of a current microstructure cutter cutting simulation modeling method; the microstructure features are integrated into the complete cutter model to obtain the precise complete microstructure cutter model, so that the problem of low simulation precision caused by model simplification or inaccurate surface topography acquisition in the cutting simulation of the microstructure cutter is effectively solved. Meanwhile, factors such as the real roughness of the surface of the microstructure tool and the complexity of the geometrical shape are considered, the interaction between the microstructure surface and the workpiece is accurately simulated, the design and machining parameters of the microstructure tool can be optimized, the machining error is reduced, and the machining quality and efficiency are improved.

The invention provides a vehicle off-road thermal management simulation calibration method, device and equipment and a storage medium, and the method comprises the steps: obtaining the road test reproduction data of a vehicle, and building a whole vehicle three-dimensional simulation model according to the first boundary data, flow field simulation and temperature field simulation are carried out on the whole vehicle three-dimensional simulation model to obtain the air speed and the air temperature of inlet air on the surface of a heat exchanger in the vehicle, one-dimensional simulation modeling is carried out on a heat management system of the vehicle to obtain a one-dimensional model, and the second boundary data, the air speed and the air temperature are input into the one-dimensional model to carry out transient simulation to obtain heat management simulation data. And according to a data gap between the thermal management simulation data and the thermal management reproduction data, carrying out iterative calibration on model parameters of the one-dimensional model until the data gap meets a preset precision threshold value, and completing vehicle off-road thermal management simulation calibration. According to the method, the wind speed and the wind temperature of the inlet air on the surface of the heat exchanger are obtained through the high-fidelity road test reproduction data and the whole vehicle three-dimensional simulation model, and vehicle off-road thermal management simulation is accurately calibrated.

The invention discloses a production line simulation test object automatic creation and data integration system and method, and belongs to the technical field of industrial simulation, and the system comprises a unified data center platform, a data interface adaptation layer, a simulation object construction engine, a test management and execution engine, and a data acquisition and optimization engine. The method comprises the following steps: automatically analyzing input data according to a predefined meta-model template, and instantiating the input data into a specific simulation object; automatically docking and converting multi-source data through an adapter mode, and injecting the multi-source data into corresponding object attributes; test design, operation monitoring, data acquisition and verification optimization are integrally completed; the simulation modeling efficiency and accuracy can be greatly improved, the dependence on professional engineers is reduced, and rapid simulation analysis and optimization decision support of a production system are realized.

According to the new energy automobile radiation emission resonance diagnosis method based on the all-in-one high-voltage system, real automobile experiment test data and modeling in a simulation environment are organically combined, and emission radiation resonance generation mechanisms and related distribution parameters corresponding to different high-voltage system structures under different working conditions can be subjected to real-time real-time real-time real-time real-time real-time real-time real-time real-time real-time real-time real-time real-time real-time real-time simulation; complete and deep simulation modeling is realized, and the radiation emission characteristics of the whole vehicle can be described and reproduced more accurately through verification of actually measured resonance data. A simulation model which is verified to be effective is used for carrying out multi-term quantitative discrimination on a resonance mechanism, so that a more targeted suppression strategy can be made and implemented, and the electromagnetic compatibility problem can be solved more efficiently from a design end.

The application relates to a design method of a sequential multi-sensor track fusion effect simulation simulator, and belongs to the field of simulation modeling and information fusion processing. In order to overcome the problem that in system simulation, a fusion simulator cannot flexibly simulate different fusion track qualities in the simulation of a sensor networking center, the application is improved on the basis of following a basic framework of a multi-sensor track fusion algorithm, and by innovatively adopting an error association probability table and a filter model correction function as external source parameters, an estimation process with different association and filtering performances which can be self-defined and configured is provided for users, different quality fusion tracks output by a sensor networking system are simulated, and therefore the flexibility of the fusion track simulation is improved, and higher freedom and authenticity are provided for system simulation.

The invention discloses a horizontal flow sedimentation tank impact load mud level prediction method based on CFD simulation modeling, and the method comprises the steps: S1, configuring prediction basic parameters, and dividing a prediction scene; s2, collecting original data, calculating an impact load index after filtering and noise reduction, judging an impact level and generating a normalized input vector; s3, activating and matching an ANFIS grading rule base, and performing fuzzy reasoning to output initial mud position prediction distribution; s4, constructing a self-adaptive grid, executing CFD calculation in combination with an impact grade selective fluid mechanics model, and outputting high-precision mud level data; and S5, generating a dynamic correction factor, correcting the weight of the ANFIS rule and the CFD grid parameters, and outputting a mud position space-time distribution matrix according to a fusion result. The method improves the prediction precision and efficiency under the impact load, enhances the robustness, can support the operation control of the horizontal flow sedimentation tank, and reduces the operation and maintenance cost.

The application provides a hydraulic system three-dimensional model simulation modeling method and device, and relates to the three-dimensional modeling field. The method comprises the following steps: constructing a three-dimensional geometric topology based on the spatial position relationship and connection relationship between each hydraulic component in the ship hydraulic system; constructing a multi-domain parameterized model based on the three-dimensional geometric topology of the physical attribute parameterization, and establishing a multi-physical field coupling equation group through the multi-domain parameterized model; solving the multi-physical field coupling equation group through a finite element solving framework and a multi-body dynamics joint solving framework to output the corresponding time sequence simulation result of the ship hydraulic system, and iteratively correcting the spatial position relationship and connection relationship in the three-dimensional geometric topology; and constructing the corresponding three-dimensional model simulation model of the ship hydraulic system through the corrected three-dimensional geometric topology. The application solves the problem that the simulation result of the traditional hydraulic system modeling method in the complex cabin section structure of the ship is greatly deviated from the actual running state.

The application belongs to the technical field of complex system organization modeling and simulation analysis, and particularly relates to a kind of airplane system fault simulation modeling method based on OPM, comprising the following steps: step one: selecting an airplane system to be simulated, determining the system function and system composition of the system;Step two: determining the OPM modeling object element according to the finished product, structural part and cable contained in the selected airplane system;Step three: defining and creating the OPD object process diagram of the system according to the system function of the selected airplane system and the finished product object;Step four: specifying the state of each object element in the airplane system to represent the actual working state of each finished product, structural part and cable in the system;Step five: taking the specified state of each object element as the state value of each object element in the OPD;Step six: matching the state change process for the object element with state;Step seven: connecting the object state with the matched process using the influence link in the OPD;Step ten: simulating and deducing the fault model.

The invention provides a large-scale space electromagnetic field modeling simulation method, and belongs to the field of electromagnetic field modeling simulation, and the method comprises the steps: scanning a target large-scale space scene through a laser radar, and obtaining a transmission tower point cloud model in the large-scale space scene; the method comprises the following steps of: obtaining a transmission tower wire frame model through a DBSCAN algorithm, extracting edges and vertexes through a DBSCAN algorithm to obtain a transmission tower wire frame model, obtaining a transmission tower entity model through edge shortening, direct extrusion and rotation translation matching extrusion, and carrying out adaptive grid division by creating a distance field and a threshold field to obtain a transmission tower grid model; and finally, material attributes and design boundary conditions are defined based on actual working conditions of the transmission tower, electromagnetic field distribution of the transmission tower is solved based on Maxwell equations, and electromagnetic field modeling simulation is completed. According to the method, the problems that simulation modeling cannot be realized by a three-dimensional scanning technology due to complex and changeable large-scale space scenes in the existing electromagnetic field simulation modeling, and the simulation modeling accuracy is low due to dependence on artificial experience are solved.

The present application relates to the field of ocean engineering and simulation modeling technology, especially to a kind of underwater vehicle digital twin synchronization method and system based on predictive compensation, the method comprises the original attitude data of underwater vehicle is acquired, dead zone threshold is dynamically adjusted based on the motion energy of vehicle, and the original attitude data is preprocessed according to dead zone threshold, the received data packet is mapped to the original position by time and space sliding window cache pool according to generation time stamp, and standard state frame is generated after missing data is filled;Standard state frame is pushed to digital twin visualization terminal;Visual terminal carries out predictive compensation rendering, completes digital twin synchronization, including combining hydrodynamic damping model and weighted fusion algorithm, drive virtual model smooth motion, linear prediction interpolation driving algorithm is used in digital twin visualization terminal in the present application, ensure the continuous motion trajectory of underwater vehicle virtual model, significantly improve the reality and operability of shore-based monitoring.

The application provides a substation intelligent simulation model construction method and device, and belongs to the technical field of simulation modeling. The method comprises the following steps: modeling a to-be-modeled substation based on first point cloud data to obtain a first model, wherein the first model is composed of multiple facets; the first point cloud data is point cloud data of the to-be-modeled substation after preprocessing; for each facet in the first model, a simplification strategy of the facet is determined based on the characteristics of the facet and the characteristics of the facets adjacent to the facet; the corresponding facet in the first model is simplified based on the simplification strategy of each facet to obtain a second model; the first model is taken as a root node of a tree structure, and the second model is taken as a child node of the tree structure to obtain a simulation model of the to-be-modeled substation; and the first model and the second model are simulation models of the to-be-modeled substation with different resolutions. The application can reduce the rendering difficulty of a computer when a user observes a model by simplifying facets.

This invention discloses a modeling method for a new energy power plant simulator, relating to the field of power system simulation technology. Specifically, it includes the following steps: S1, developing and debugging a digital encapsulation model using ADPSS software on both the Windows and Linux platforms; S2, based on the established digital encapsulation model, connecting the new energy controller hardware to the simulator equipment within a simulation environment, and conducting relevant simulation modeling work; S3, obtaining the primary circuit topology and parameters of the new energy unit or SVG, and establishing a primary circuit model based on the primary circuit topology and parameters using the ADPSS simulation platform. The new energy power plant simulator modeling method provided by this invention only requires modeling, simulation, and debugging on one ADPSS simulation platform. Theoretically, all other platforms can be directly accessed by the platform user using the ADPSS-tested control encapsulation model, without requiring participation in model development, greatly reducing workload and complexity.

The invention discloses a nerve and blood vessel coupling model personalized real-time regulation and control method and device based on transcranial direct current stimulation response. According to the device, finite element simulation modeling and large-scale dynamic average field model building are carried out by obtaining multi-modal data (such as T1w, DWI and rs-fMRI) of a patient, and electric field distribution and neuron group activity of tDCS in the brain are simulated. In combination with nerve and blood vessel coupling characteristics, an individualized tDCS real-time regulation and control model is constructed, and stimulation parameters such as current intensity, electrode position and stimulation duration are dynamically adjusted. In the regulation and control process, neural activity and cerebral blood flow changes are monitored in real time, and the stimulation effect is optimized through a closed-loop feedback mechanism. The problems of individual difference, inaccurate real-time feedback and complicated equipment in the existing tDCS regulation and control are solved, the dependence on high-end equipment is reduced, the operation process is simplified, the accuracy and effectiveness of a personalized regulation and control scheme are improved, and the method is suitable for wide application in a clinical environment.

The invention discloses a simulation modeling method, device and equipment for determining a shot peening forming area. Comprising the steps of building an initial finite element simulation model comprising a deformable body, an upper plane and a lower plane of a part based on geometric parameters of the part; setting the temperature of the plane to be constant, and setting the contact thermal resistance to be zero; setting the lower plane as a full-degree-of-freedom fixed constraint, setting the upper plane as a non-full-degree-of-freedom fixed constraint, and defining a constant contact load for the upper plane; defining a first temperature threshold value and a second temperature threshold value, setting that the local temperature is greater than the first temperature threshold value to start heat conduction, and when the local temperature is greater than the second temperature threshold value, generating heat shrinkage to obtain a finite element simulation model; and the finite element simulation model is executed, and the shot peening forming area, corresponding to the moment when the interval distance between the upper plane and the lower plane reaches the minimum value, of the to-be-formed part is searched for. According to the embodiment, a traditional method is replaced, and the shot peening forming area is accurate, efficient, low in cost and easy to determine in an engineering mode.

The invention discloses a concrete member simulation model building method based on a BIM technology, and relates to the technical field of concrete member BIM simulation, and the method comprises the steps: obtaining design information including the geometric dimension definition of a member, a steel bar arrangement detail drawing, a concrete strength grade requirement and an external load action parameter; the method comprises the following steps: establishing a parameterized three-dimensional geometry on a BIM platform, associating strength requirements, implanting a parameterized reinforcement network model containing spatial trend, diameter, protective layer thickness and bond-slip relationship according to a reinforcement detail drawing, integrating to generate a preliminary BIM integrated model, calling a structure analysis engine to execute static and dynamic coupling numerical analysis by taking the model, strength and load as input, and establishing a structural analysis model; and generating a multi-working-condition mechanical response data set. According to the method, through reinforcement bond-slip relation definition and BIM model direct-connection static and dynamic coupling analysis, the integrity of concrete member simulation modeling and mechanical analysis is improved, and modeling and analysis integrated connection is achieved.

This invention discloses a defect control method for the RTM process of GIS plate-type insulating tie rods, belonging to the field of insulating tie rod design technology. The method includes constructing a simulation model of the GIS plate-type insulating tie rod RTM process; setting the physical field of the simulation model and performing mesh generation and control; simulating the flow process of the resin mixture in the RTM process based on the simulation model to obtain flow behavior data; obtaining the pressure field distribution characteristics and temperature field distribution characteristics of the resin mixture during the flow process; and analyzing the defect areas and their causes based on the flow behavior data, pressure field distribution characteristics, and temperature field distribution characteristics, and formulating process optimization methods. This invention provides theoretical support and simulation tools for the precise design, intelligent manufacturing, and defect control of plate-type tie rods, improving the consistency and engineering reliability of products; it also has methodological promotion value in the simulation modeling and multi-physics collaborative analysis of GIS-specific composite material insulating components.

The application provides a hybrid vehicle energy management method and system based on energy flow test and working condition adaptive parameter optimization, and belongs to the technical field of hybrid vehicle energy management. The method comprises the following steps: building a power assembly energy flow test platform, and completing a DOE experiment based on a Sobol sequence; collecting multi-scene data of an actual vehicle, extracting typical working conditions through PCA principal component analysis and K-means clustering, and combining a Markov chain to generate random cyclic working conditions; constructing a multi-domain coupled energy flow simulation model and verifying the model; performing strategy optimization on the typical working conditions based on GWO, and combining an online working condition recognition mechanism to construct an adaptive energy management strategy; the system comprises an energy flow test module, a working condition generation module, a simulation modeling module, a strategy optimization module and a vehicle controller module. The application realizes the collaborative optimization of fuel consumption, electricity consumption and battery life, and significantly improves the energy efficiency and reliability of HEV hybrid vehicles under complex working conditions and environments.

The invention discloses a petroleum filtering device fault detection method and system based on the Internet of Things, and relates to the technical field of data processing. The method comprises the following steps: acquiring attribute information of a filtering layer of a target filtering device; performing simulation modeling on the target filtering device to generate a filtering twinborn model; determining a simulation monitoring index set; performing filtering prediction on the preprocessed water quality information to obtain a prediction monitoring index set; determining a fusion monitoring index set under the plurality of monitoring nodes; performing data acquisition on the N filter layers to obtain a real-time monitoring data set; and judging the real-time monitoring data set, and positioning a filter layer which does not meet the fusion monitoring index to carry out fault early warning. The technical problem that fault positioning and fault early warning cannot be accurately achieved due to the fact that the fineness and the accuracy of fault early warning index setting of a filtering layer of a petroleum fiber filter in the prior art are insufficient is solved, and the technical effects of improving the accuracy and the timeliness of fault detection and achieving accurate early warning of the filtering layer are achieved.

This invention discloses a method and device for measuring the flow rate of a condensate feedwater system oriented towards edge computing. The method includes the following steps: Step S1, extracting pump operating parameters under multiple typical operating conditions from a historical database of an industrial internet platform; Step S2, performing simulation modeling of the condensate feedwater system, and constructing a nonlinear mapping relationship between the pipe resistance coefficient and flow rate by combining the pipe geometry, fluid properties, and pump mechanical characteristics, thus obtaining the pipe resistance equation; Step S3, simultaneously solving the pipe resistance equation and the centrifugal pump head-flow characteristic equation using the Newton-Raphson iterative method to obtain the theoretically calculated flow rate value; Step S4, comparing the theoretically calculated flow rate value with the real-time measured flow rate value, and dynamically adjusting the model parameters to ensure that the model error is less than a set threshold. This invention achieves high accuracy in measuring the flow rate of the condensate feedwater system.