42results about How to "Simple model" patented technology

The invention provides a DETR-based 3D target detection and tracking method. The method comprises the steps of obtaining a point cloud data stream of continuous frames from an LIDER camera; original point cloud data of continuous frames are converted into regular voxel grids, and high-dimensional video features of the regular voxel grids are extracted; a group of 4D Tubelet Query is learned, and a time self-attention module and a space cross attention module are utilized to perform modeling on dynamic space-time characteristics of video clips so as to enhance the characterization capability of the dynamic space-time characteristics; and finally, performing bounding box prediction on each Tubelet Query by the model, and measuring the difference between a true value and a predicted value by using set-to-set loss to realize end-to-end learning of a multi-target tracking task. According to the method, the Tubelet is designed, the information in the space-time dimension is deeply mined and integrated, and a multi-target tracking task is simplified into a detection task, so that the unification of the detection task and the tracking task is realized, and the serious dependence of traditional multi-target tracking on a frame-level detector is reduced.

The invention relates to the technical field of tire simulation design, in particular to a tire pattern longitudinal groove edge optimization design method and system and a computer program product. The method comprises the following steps: extracting actual grounding pressure data of a tire; establishing a pattern block geometric plane model, and applying proper boundary conditions; according to the condition of non-uniform grounding pressure distribution, the shape of the contact surface of the pattern block is adjusted to realize uniform distribution; the grounding pressure distribution of the edge of the pattern block is optimized by minimizing a grounding pressure skewness value; and finally, calculating and adjusting the outer contour curve of the tire to realize final optimization design. According to the method, the road holding force, the controllability and the driving stability of the tire can be remarkably improved, the service life is prolonged, the modeling and calculation time is relatively low, and the design and development cost is remarkably reduced.

The invention belongs to the technical field of power grid regulation and control, and particularly relates to a power grid demand side resource adjustable power domain aggregation method and device. The method comprises the following steps: S1, constructing adjustable power domains of various demand side resources containing time sequence coupling characteristic constraints, and representing the adjustable power domains of the demand side resources in adjacent time periods by using time-segmented linear boundary constraints; s2, establishing a demand side resource comprehensive probability model containing various correlations according to historical data of various demand side resources; and S3, constructing an adjustable power domain aggregation model of the demand side resources in combination with the linear boundary constraint and the comprehensive probability model, and obtaining a flexibility decision space of the demand side resources through model optimization. According to the scheme, the linear constraint of each demand side resource and the correlation constraint between the demand side resources are considered at the same time, the obtained feasible region is finer, the supply and demand regulation and control effect of the new energy transformer area is improved, and the stability and safety of a power grid are improved.

The invention relates to the technical field of compressors, in particular to a compressed air energy storage compressor all-working-condition modeling method which comprises the steps that the modeling requirement of a compressor to be modeled is obtained; determining a first rotating speed performance curve of the to-be-modeled compressor, determining at least one state variable according to the modeling demand, building an initial compressor model based on the at least one state variable and a preset constraint relationship, and operating the initial compressor model to obtain a second rotating speed performance curve of the to-be-modeled compressor; a first performance curve is determined according to the first rotating speed performance curve, a second performance curve is determined according to the second rotating speed performance curve, a third performance curve is determined according to the first performance curve and the second performance curve, and the performance curve of the full-working-condition rated rotating speed is obtained through combination. Therefore, the problems of inaccurate modeling, poor universality and low economical efficiency of the compressor are solved, the method is simple and high in economical efficiency, and all-working-condition modeling can be carried out on the compressor with unknown performance.

The invention relates to the field of gantry crane sliding contact line carbon brush monitoring and intelligent early warning, in particular to an oil-to-electricity carbon brush height identification early warning system, which adopts various sensors to acquire temperature, vibration, images and other data of a carbon brush and a sliding contact line in real time. A temperature field, a stress field and wear rate data are generated through a data preprocessing and multi-dimensional thermal-mechanical coupling modeling method; the system is combined with an incremental learning module to continuously optimize the prediction capability of the model; through state evaluation of the carbon brush and the slide wire, the system can generate risk scoring data in real time, perform fault prediction, and trigger automatic shutdown protection or load adjustment measures under a high-risk condition. Through accurate fault identification and risk early warning, the problems of data lag and missing detection in a traditional monitoring method are effectively reduced, and the safety, reliability and intelligent management level of equipment are improved.

The invention relates to a ship main engine oil consumption modeling method and system based on noon report data, and the modeling method comprises a noon report data collection and screening step, a noon report data classification step, a ship type classification step, a partial load condition fitting modeling step and a unified fitting and draught correction modeling step. Modeling operand and modeling complexity are greatly reduced, meanwhile, multi-level classification of weather (wind level and wave level) and ship types under different dimensions is carried out, a plurality of ship main engine oil models are constructed by adopting a partial load condition fitting method, a unified fitting method and a draught correction method respectively, ship slip rate is adopted as an intermediate variable, and a ship main engine oil model is constructed. According to the method, the relation between the navigational speed and the ship slip rate and the relation between the oil consumption and the ship slip rate are fitted respectively, the fitting flexibility and the formula complexity are improved, the fitting effect is better, the multiple built ship main engine oil models are accurate and efficient, cost reduction, efficiency improvement and safe and reliable performance improvement of enterprises are facilitated, and environmental protection and compliance management can be promoted.

The invention provides a construction method of a non-coupling blasting explosion load model and related equipment, and the method comprises the steps: describing non-coupling blasting explosion loads at different time stages through piecewise functions, and building a non-coupling blasting explosion load theoretical model; a pressure-time curve is collected through a non-coupling bursting pressure test, waveform analysis is carried out, and mechanical parameters are obtained; calibrating various parameters in the non-coupling blasting load theoretical model through mechanical parameters; various parameters in the non-coupling blasting explosion load theoretical model are input into a calculation program for calculation, and a non-coupling blasting explosion load model is obtained; the model provided by the invention can more accurately describe the action characteristics of the non-coupling blasting load, the peak values and the loading rates of the blasting shock waves and the blasting gas are directly controlled by respectively inputting the peak values and the rising time, so that the dynamic response of the structure under different peak values and loading rates can be conveniently researched, and the model has the advantages of simple model, high reliability and the like. The input parameters are few, and the applicability is wide.

The invention relates to the technical field of over-temperature protection of a vehicle-mounted motor controller of a new energy automobile, in particular to an IGBT junction temperature estimation method, which comprises the following steps of: establishing an experimental platform, and placing the experimental platform in a constant-temperature box; and obtaining data such as IGBT equivalent internal resistance and a temperature coupling table according to an experiment. Calculating the total loss of the IGBT; and building an equivalent thermal resistance model, and calculating the IGBT theoretical junction temperature of the equivalent thermal resistance model according to the thermal resistance value and the total loss of the IGBT. According to the method, the current IGBT junction temperature can be accurately and effectively estimated in the operation process of the controller, the method has the advantages that the internal structure does not need to be damaged, the estimated junction temperature precision is high, modeling is simple, and other sensors or temperature acquisition circuits do not need to be added, engineers can perform protection in advance before the IGBT fails due to the too high junction temperature, the IGBT is effectively protected, and the reliability of the controller is improved. And the service life of the IGBT is greatly prolonged.

The invention relates to a flexible satellite linear robust # imgabs0 # control method based on a dynamic observer, and the method comprises the steps: S1, constructing a flexible satellite attitude system with unmeasurable partial states, external disturbance and parameter perturbation, and constructing a linear state space model containing the uncertainty of a convex polyhedron and limited input; s2, designing a linear dimensionality reduction dynamic observer and a linear state feedback robust # imgabs 1 # controller, and obtaining a closed-loop system which is based on the linear dimensionality reduction dynamic observer and the linear state feedback robust # imgabs 2 # controller and has unmeasurable partial states, uncertainty of a convex polyhedron and external disturbance; s3, deriving a solvability condition of a linear robust # imgabs3 # control problem of the closed-loop system based on the linear dimensionality reduction dynamic observer under a constraint condition that the input is limited; and S4, solving the solvability condition to obtain solutions of the linear dimensionality reduction dynamic observer and the state feedback robust # imgabs4 # controller for the flexible satellite attitude system, and controlling the flexible satellite through the solutions.

The invention provides a transient stability limit evaluation method and system of a new energy flexible direct current delivery system, and relates to the technical field of transient stability quantitative evaluation of a new energy power system, and the method comprises the steps: building a transient linear model of new energy and flexible direct current multiple devices, and a system nonlinear model; constructing a system state matrix according to the linearization model, screening the type-I balance points through the state matrix, and calculating a first-order parameter matrix of a hypertangent plane of each target type-I balance point; calculating a Hessian matrix according to the nonlinear model, and calculating a second-order parameter matrix of the hypertangent plane of the type I balance point of each target by using the Hessian matrix; and according to the first-order parameter matrix and the second-order parameter matrix, constructing a corresponding hyper-tangent plane equation, in combination with the fault trajectory, determining the intersection point of the trajectory and a hyper-tangent plane, calculating the fault limit clearing time, and evaluating the transient stability margin of the system. According to the method, the fault clearing time of the system under different types of faults can be accurately calculated, and the transient stability of the new energy flexible direct delivery system can be accurately evaluated.

This invention provides a spacecraft escort control method based on zero-sum differential games, belonging to the field of aerospace technology. The control method includes the following steps: obtaining spacecraft escort problem parameters for both the pursuing and defending satellites; establishing a spacecraft escort model based on zero-sum differential games and inputting initial parameters into the model; transforming the spacecraft escort model into a two-point boundary value problem model; using a genetic algorithm to solve the two-point boundary value problem model to obtain the state trajectory within the game time, thus completing the spacecraft escort control. This spacecraft escort control method can effectively solve the spacecraft escort problem under continuous thrust, and is an effective extension of existing continuous thrust escort problem models and methods. The model employs a differential game method described by a zero-sum cost function, thus simplifying the solution of the difficult-to-solve weighted performance index escort problem and improving the solution efficiency of the spacecraft escort game problem.

The invention provides a map processing method and device of a vehicle and electronic equipment. The method comprises the steps that a to-be-processed map is obtained, and the to-be-processed map is an original map collected by a vehicle; a to-be-processed map is analyzed through a lightweight generative adversarial neural network to obtain a high-quality map, the lightweight generative adversarial neural network is obtained through training of multiple groups of data, and each group of data in the multiple groups of data comprises a historical to-be-processed map and a high-quality map label corresponding to the historical to-be-processed map. The number of model parameters of the lightweight generative adversarial neural network is smaller than the number of model parameters of the standard generative adversarial neural network; and controlling vehicle driving according to the high-quality map. Through the application, the problems of large calculation amount and high complexity of a map processing method in the prior art are solved.

This application provides a method, apparatus, and medium for analyzing the uncertainty of distributed generation (DG) capacity. It employs interval mathematics and affine mathematics to quantify the mapping relationship between multiple uncertainties and voltage sensitivity in DG distribution networks. This approach combines the advantages of interval methods (easy access to upper and lower bounds for uncertain variables, simple model, strong applicability, and fast solution speed) with the advantages of affine methods (advanced ability to track the correlation and coupling of multiple uncertain variables). By deriving an affine three-phase voltage sensitivity equation based on the Jacobian matrix and combining it with a Monte Carlo-based stochastic scenario simulation method, it achieves both accuracy and speed in analyzing DG capacity in distribution networks. It also provides the possibility for assisting distribution network planners in conducting online rapid analysis and comprehensive, accurate decision-making regarding DG capacity. Compared with existing DG capacity analysis methods, it exhibits better performance and has significant theoretical and practical value.

The invention discloses a modal shape and frequency identification method for a motor stator system with an inner gear ring, and the method comprises the steps: building a shell unit and beam unit mixed analysis model of the motor stator system provided with the inner gear ring, and obtaining a total stiffness matrix and a total mass matrix under a local rectangular coordinate system through a matrix displacement method, obtaining a structural stiffness matrix and a structural mass matrix under the overall cylindrical coordinate system by using coordinate transformation; and establishing a discrete free vibration model, inputting the structural stiffness matrix and the structural mass matrix into the model, and outputting modal shapes of different orders and corresponding inherent frequencies of the motor stator system, thereby completing identification. The method comprehensively considers the influence of the stator teeth and the tooth part of the inner gear ring, helps to rapidly identify the modal shape and inherent frequency of the stator system, provides guidance for subsequent vibration acquisition and optimization, and has the advantages of simple modeling, rapid identification and high precision.

The present invention discloses an electroencephalogram (EEG) signal classification method, device and storage medium, wherein the method comprises acquiring an EEG signal; extracting first-level features of the EEG signal; calculating first-level important weights for the first-level features; selecting second-level features according to the first-level important weights; extracting first-level principal components of the second-level features; calculating second-level important weights for the first-level principal components; selecting second-level principal components according to the second-level important weights; confirming an optimal combination according to the second-level features and the second-level principal components; and classifying the optimal combination. The method has the advantages of low computational complexity, simple model and high efficiency. In addition, considering the correlation and globality between features, the performance of feature filtering is improved, thereby improving the classification accuracy of EEG signal classification.

The invention discloses a vertical shield propulsion system simulation device, and belongs to the field of shield machine simulation equipment.The device comprises a six-axis platform system and a three-degree-of-freedom platform, and a six-axis platform system propulsion system is simplified into six direct-connection type electric cylinders; six direct-connection type electric cylinders are used for adjusting the posture of the six-axis platform so as to simulate the tunneling working condition of the shield tunneling machine, the response speed of control is guaranteed, and meanwhile a model of a propelling system is simplified; the six-axis platform system is placed on the upper platform of the three-degree-of-freedom platform in the mode that the supporting shoes are arranged on the lower portion, and a circular ring formed by the six supporting shoes is concentric with the upper platform, so that the occupied area of equipment is reduced in the mode that the shield propulsion system simulation device is vertically placed; simulation of working conditions such as pitching and yawing of the shield tunneling machine is realized through change of elongation of a turn-back type electric cylinder of the three-degree-of-freedom platform. The device is small in occupied space, the cost can be reduced, the system is safe, the stability performance is good, and meanwhile the shield propulsion system can be simulated more accurately.

The present invention provides a multi-camera collaborative calibration method and application suitable for dynamic vision sensors, comprising the following steps: S1, obtaining sub-pixel corner point set information; S2, optimizing camera parameters to minimize reprojection errors, thereby improving the accuracy of the camera model; S3, using a random sampling consensus algorithm to calculate a first transformation matrix and a second transformation matrix based on the sub-pixel corner point set information, wherein the first matrix is ​​a transformation matrix of a frame camera relative to the origin of a reference coordinate system, and the second matrix is ​​a transformation matrix of an event camera relative to the origin of the reference coordinate system; S4, solving the transformation matrix from the event camera pixel space to the frame camera pixel space based on the obtained first transformation matrix and second transformation matrix. The present invention provides a multi-camera collaborative calibration method and application suitable for dynamic vision sensors, which can be applied to the calibration between 1-multiple event cameras and 1-multiple frame cameras, and cameras at different angles and positions.

The present invention provides a method and application for accurately determining the excavation volume of a shield machine. The method is based on soil mechanics and basic mathematical theories, and the model is simple and easy to understand. The method has strong practical engineering application and operability. Except for the unknown parameter of the formation loss rate, the other parameters can be obtained through survey reports, construction records, and calculation formulas. The present invention can be applied to accurately calculate the excavation volumes of various shield machines and the corresponding formation loss calculations caused by them, and can effectively monitor the excavation process and the excavation volume based on the analysis of the actual soil excavation volume, and provide intelligent early warning.

The present invention relates to a flexible satellite linear robust control method based on a dynamic observer, comprising: S1, constructing a flexible satellite attitude system with partially immeasurable states, external disturbances and parameter perturbations, and constructing a linear state space model containing convex polyhedron uncertainty and input constraints; S2, designing a linear dimension reduction dynamic observer and a linear state feedback robust controller, and obtaining a closed-loop system based on the linear dimension reduction dynamic observer and the linear state feedback robust controller and with partially immeasurable states, convex polyhedron uncertainty and external disturbances; S3, deriving the solvability conditions of the linear robust control problem of the closed-loop system based on the linear dimension reduction dynamic observer under the constraint condition of input constraints; S4, solving the solvability conditions, obtaining solutions of the linear dimension reduction dynamic observer and the state feedback robust controller for the flexible satellite attitude system, and controlling the flexible satellite through the solutions.

The invention relates to the technical field of education, and discloses a digital literacy improvement method and system for college students, and the system comprises a test question generation and grading module which is configured to generate different types of digital level test exercises, collect the answer information data of the students in each type of digital level test exercises, and send the answer information data to a database; determining an initial accomplishment level of the student based on the answer information data; the learning module is configured to determine a learning path for learning according to the initial accomplishment level and the knowledge graph; the processor is also configured to collect learning behavior data of the student in the current learning path and calculate the content complexity of the current learning path according to the learning behavior data; an analysis processing module; and the storage module is configured to store the learning path after the adjustment scheme is determined. According to the invention, through an intelligent, personalized and dynamic mode, the digital literacy level of students is effectively improved, and powerful support is provided for comprehensive development of college students.

The application discloses an INS / GNSS rod arm error online estimation method based on dimension reduction filtering. The method splits the INS / GNSS rod arm error and other error variables, constructs multiple low-dimensional filters, reduces the coupling between the error variables, has clear mechanism, simplifies the model, reduces the requirements of the combined navigation algorithm on the chip main frequency and the storage space, improves the calculation speed and the filtering estimation precision, and can improve the positioning performance of the vehicle-mounted combined navigation system after the INS / GNSS rod arm error online estimation and compensation, and has high engineering application value.

The invention discloses an inventory management method for spare mechanical parts of a heavy-duty car, which comprises the following steps of: identifying the importance degree of the spare mechanical parts by using a multi-criterion classification method, and determining important spare mechanical parts in the spare mechanical parts; preprocessing the historical demand quantity data to obtain important component historical demand quantity data of the important standby mechanical component; constructing a standby mechanical part demand quantity prediction model, training the standby mechanical part demand quantity prediction model, and outputting important part prediction demand quantity data through the trained standby mechanical part demand quantity prediction model; and according to the historical demand quantity data of the important parts and the predicted demand quantity data of the important parts, inventory simulation of optimal demand distribution fitting is carried out, and according to an inventory simulation result, the inventory quantity of the important standby mechanical parts is dynamically adjusted. According to the invention, the overall matching degree between demand prediction and inventory management can be improved, and the inventory management performance of standby mechanical parts is improved.

This invention relates to the field of aero-engine technology and discloses a Simpack-based method for analyzing the misalignment vibration of aero-engine blades with bosses. While ensuring analytical accuracy, it improves computational efficiency by simplifying the modeling process and establishes a clear mapping relationship between parameters and responses, thus providing reliable technical support for vibration control of aero-engine bladed disk systems. The method includes the following steps: establishing finite element modal analysis models of all boss blades and disks, and performing free modal calculations; using Simpack modal condensation to establish blade-disk reduced flexible body models of all boss blades and disks, and then assembling them to form a complete blade-disk coupled dynamic analysis model of the aero-engine; subsequently, simulating the frictional vibration reduction effect between boss blades by establishing pre-compressed spring damping units or custom nonlinear spring units between the bosses of adjacent boss blades; and simulating the interference fit relationship between bosses by using the spring pre-compression amount.

The invention relates to the field of rail transit pantograph-catenary relations, and discloses a pantograph slide block ideal grinding crack-based catenary plane arrangement design method, which comprises the following steps of 1, designing an ideal grinding crack curve of a pantograph slide block; step 2, carrying out preliminary overhead line system plane layout design to obtain a pull-out value of the overhead line system, and calculating the length of the overhead line system; 3, respectively calculating the wear contribution value of each pull-out value interval on the slide block to the pantograph slide block; step 4, calculating and drawing a predicted wear crack curve according to the wear contribution value; 5, the predicted grinding crack curve and the ideal grinding crack curve are subjected to benchmarking, a design deviation value is obtained, when the design deviation value is larger than an expected deviation value, the contact net arrangement is adjusted, and the steps 2-5 are repeated; and when the design deviation value is smaller than the expected deviation value, overhead line system arrangement is completed. And the actual wear is closer to the expectation.

The invention provides a monitoring system remote regulation signal locking and unlocking method based on user behavior analysis, and the unlocking method comprises the steps: carrying out the real-time analysis of a user operation behavior through employing a long and short-term memory network algorithm; processing is carried out through the processes of user behavior data collection, data preprocessing, LSM model training, fuzzy logic classification, signal locking and unlocking, model updating and the like, the operation authority of a remote regulation signal is dynamically judged, user operation behaviors are automatically recognized and judged, locking and unlocking of the remote regulation signal are controlled, unauthorized remote regulation signal operation is effectively avoided, and the operation efficiency is improved. The system is prevented from being influenced by hostile attacks or operations, and meanwhile, when abnormal conditions are detected, automatic unlocking can be carried out after secondary verification, so that the influence caused by misoperation is reduced; the system continuously learns user behaviors, optimizes the model and adapts to different operation habits during operation, and the automatic locking and unlocking mechanism reduces human intervention, improves the operation efficiency of the system and guarantees the operation safety of the transformer substation.

The invention discloses a vertical shield propulsion system simulation device, which belongs to the field of shield machine simulation equipment. The device includes a six-axis platform system and a three-degree-of-freedom platform. The six-axis platform system propulsion system is simplified into six direct-connected electric cylinders. The six direct-connected electric cylinders are used to adjust the posture of the six-axis platform to simulate the tunneling working condition of the shield machine, thereby ensuring the response speed of the control and simplifying the model of the propulsion system. The six-axis platform system is placed on the upper platform of the three-degree-of-freedom platform in a manner of a support shoe at the bottom, and the ring composed of the six support shoes is co-centered with the upper platform. In this way, the shield propulsion system simulation device is placed vertically to reduce the floor space of the equipment, and the simulation of the pitch, yaw and other working conditions of the shield machine is realized by changing the elongation of the reciprocating electric cylinder of the three-degree-of-freedom platform. The device occupies a small area, can reduce costs, has a safe system and good stability, and can also more accurately simulate the shield propulsion system.

The invention discloses an all-wheel-drive system state feedback and interference suppression method based on integral transformation, and the method comprises the steps: firstly converting a complex nonlinear all-wheel-drive system model into a simpler state space model through employing an integral transformation method, and reducing the coupling degree of the system; then, an observer based on a filtering transfer function is designed, interference and uncertain items in the system are effectively estimated, the identification capability and the suppression effect on the interference are improved, and the influence of external interference on the performance of the system is reduced. And finally, interference information estimated by the observer is used for feeding back and adjusting system input in real time, a full-state feedback controller is designed, and it is ensured that the system can still keep stable under the condition that interference and uncertainty exist. By introducing a new state conversion technology, simplifying a system structure and combining a filtering transfer function, accurate estimation of interference and uncertain items in the system is realized, so that the control precision and stability of the system are improved, and solid technical support is provided for nonlinear system control.

The invention discloses a method for checking high-current wiring in a chip, which belongs to the technical field of chip layout design, and comprises the following steps of: determining metal layers in a layout subjected to conventional checking, and obtaining the minimum width and the number of through holes required when each metal layer passes through different current magnitudes under the limit working temperature of the chip; the method comprises the following steps: writing a DRC rule according to the minimum width and the number of through holes corresponding to different current magnitudes of each metal layer, executing the DRC rule by using a Calibre DRC tool to identify a first metal layer region, displaying the first metal layer region through a Calibre RVE tool, generating width information and through hole information of each first metal layer region, and determining the width information and the through hole information of each first metal layer region according to the current magnitude of a test current needing to pass through. The modification information is provided for the first metal layer area, inspection is carried out based on the preset DRC rule, the model is simple, the computing resource requirement is low, the inspection time is shortened, the inspection efficiency is improved, meanwhile, manual inspection is reduced, and the accuracy is improved.

The invention discloses a bearing fault diagnosis method combining a multi-scale residual error and multi-task depth separable convolution, and the method comprises the following steps: carrying out the preprocessing of a bearing signal, and generating a two-dimensional coding graph; dividing the two-dimensional coding graph into a training set, a test set and a verification set; establishing a shared network, and extracting universal shared features; building a branch network, and extracting task features of the subtasks; the shared network and the branch network are combined, a multi-task classification model is constructed, and shared features are screened through an attention mechanism and then input to the branch network; inputting the training set into a multi-task classification model, and reasonably allocating computing resources by using a dynamic loss weight algorithm; and introducing online label smoothness into the softmax classifier to accelerate the convergence speed of the model, and outputting the classification result of each subtask. According to the invention, the fault features of each subtask can be effectively extracted, and efficient and accurate multi-task bearing fault diagnosis is realized.

The invention relates to the technical field of building construction calculation models, in particular to a composite lining joint surface calculation model which comprises an outer lining model and an inner lining model, the outer lining model adopts a beam-spring model for simulation, the inner lining model adopts a beam unit for simulation, and prestress is applied to the inner lining model. Prestress is applied to joints of the lining beam units in a concentrated force mode by adopting an equivalent loading method; according to the composite lining joint surface calculation model provided by the invention, the multi-directional combined springs are arranged between the composite lining joint surfaces, and the value basis or calculation method of the key parameters of each spring is given; by activating the corresponding springs, simulation of various different joint surface treatment modes such as direct bonding between the composite linings, laying of a waterproof layer and arrangement of joint bars can be achieved.