175 results about "Differential equation" patented technology

The present application relates to high-altitude hoisting technical field, disclose a kind of hoisting operation control method, comprising the following steps: one, real-time acquisition the state information of tower material to be hoisted;Two, construct multi-source data fusion model to process the state information of tower material to be hoisted, and obtain the high-precision state information estimate of tower material to be hoisted;Three, based on the layout information of pedestal, hoist arm and sling, establish fixed coordinate system;Four, based on the elastic deformation of tower material to be hoisted and crane's sling, gravity and visual feedback information, establish the differential equation of sling shape;Five, predict the state trajectory of tower material to be hoisted in future time window, design model predictive controller, with the error between tower material desired pose and actual pose minimization as goal, solve the optimal control parameter of tractor;The present application is aimed at hoisting tower material state feedback demand, installs multiple sensors in hoist arm end, hook and other positions, constructs tower material closed-loop attitude control algorithm, realizes the accurate control of tower material attitude.

The application provides a kind of image region missing content generation method and system based on three-dimensional partial differential equation, according to the method of the application, comprising: obtaining the image to be completed and its related auxiliary information;The complete image after completion is obtained by inputting the image to be completed and the auxiliary information into the pre-constructed image generation network model;Wherein, the image generation network model is the progressive image region missing content generation network PDE-PINet constructed based on three-dimensional partial differential equation.The application proposes an image region missing content generation method based on three-dimensional partial differential equation network, which combines partial differential equation with rigorous mathematical basis and deep learning to achieve better image region missing content generation effect;At the same time, through the mathematical constraint of three-dimensional partial differential equation, the structural distortion problem caused by the dependence of traditional deep learning method on data driving is effectively solved, and the coherence of the overall structure of the image can still be effectively maintained in large-area missing region generation.

The present application relates to the technical field of smart water affairs and urban public safety, and particularly relates to a kind of artificial intelligence driven urban pipe network flood resilience evaluation method and system, comprising: constructing Riemann metric tensor by using metric matrix containing potential barrier function, and establishing the Riemann manifold embedding space of pipe network physical state;Then, based on fluid energy, a Hamilton function is constructed, and a dynamics prediction model with physical conservation is obtained by using symplectic neural network and symplectic discrete integral format training;Subsequently, a second-order Hamilton-Jacobi-Aleksandrov partial differential equation describing stochastic differential game is constructed, and a physical perception neural network is used to solve and extract the resilience safety boundary;Finally, real-time data is mapped to the manifold space, the Riemann gradient is calculated, and a quadratic programming problem is solved to generate control instructions. The problem of lack of physical constraints and safety bottom line in pipe network control under extreme random working conditions is solved, and real-time closed-loop control with physical consistency is realized.

The present application belongs to the technical field of geothermal energy development and utilization, and relates to a hydrothermal type buried pipe heat exchanger optimization design method based on PINN, comprising: 1, numerical simulation and benchmark data set generation; 2, PINN construction and training: constructing a PINN neural network, converting the mass conservation equation and the energy conservation equation in the pore medium into a partial differential equation residual, and together with the discrete data error generated by the numerical simulation software to form a composite loss function; using the nonlinear fitting capability of the PINN neural network, and embedding the physical partial differential equation of fluid flow and heat transfer in the pore medium into the loss function as a soft constraint; 3, data-driven optimization based on the proxy model; the present application not only fundamentally solves the problems of poor generalization ability and easy non-physical interpretation of traditional pure data-driven models, but also breaks through the bottleneck of convergence difficulty and high training cost when solving complex engineering problems by pure PINN.

This invention relates to the field of wind tunnel aerodynamic measurement technology for hypersonic vehicles, and discloses a method for evaluating and optimizing the dynamic load testing accuracy of a wind tunnel force measurement system. The evaluation method involves: equating the force measurement system to a multi-degree-of-freedom spring and mass model; constructing a dynamic differential equation and performing a Laplace transform; then, combining the dynamic stiffness matrix to construct a frequency response function matrix; defining the output of the force measurement channel of a rod-type strain balance and solving for the transfer function from the excitation point to the force measurement channel; combining the reference transfer function and the actual load, calculating the identified load and performing a Fourier transform to obtain the relative identification error of the force measurement system at the excitation point; finally, calculating the power spectrum weighted average identification error at the excitation point and comparing it with the engineering allowable error to determine whether the system has undergone stiffness optimization. This invention not only accurately identifies the dynamic load of the force measurement system but also achieves stiffness optimization, improving the accuracy of unsteady aerodynamic force measurement.

This invention provides a method, apparatus, equipment, and medium for constructing an oil and gas field production growth curve model, belonging to the field of oil and gas field production evolution technology. The method collects multiple sets of geological reserves, first and second rate coefficients, and cumulative production data for oil and gas fields. Then, it applies the oil and gas field growth differential equation and obtains a growth model for cumulative production through mathematical solution. After the model is converted to a first-order linear form, iterative calculations are used to find at least two sets of data to ensure a linear relationship between the independent and dependent variables. These data are used to determine the slope and intercept of the linear equation, thereby estimating the final recoverable reserves and model constants of the oil and gas field. Finally, combining the rate coefficients and estimated parameters, a growth curve model for predicting the cumulative production of the oil and gas field is constructed. This invention improves the accuracy of oil production prediction by constructing an accurate oil and gas field production growth curve model.

This invention discloses a method for assessing the weathering of sandstone artifacts based on the fusion of multi-source heterogeneous data driven by physical-manifold collaboration, belonging to the field of cultural relic protection technology. Addressing the contradiction that surface spectral data of sandstone artifacts is dense but cannot probe the interior, while internal physical data is accurate but extremely sparse and lossy, this invention proposes a "surface-to-interior" fusion strategy. First, using a physical information deep learning model, physical partial differential equations are introduced as prior constraints to extrapolate sparse point data into a continuous deep physical tensor across the entire field, achieving a "penetrating" effect. Second, based on Riemannian manifold geometry, spectral-physical enhancement features are mapped to the tangent space to extract noise-resistant surface manifold features. Furthermore, through coupled tensor decomposition, deep mechanisms and surface properties are forcibly aligned in the latent feature space. Finally, a high-order Laplacian hypergraph model is used to achieve pixel-level classification of weathering degree. This method effectively solves the problems of spatial scale mismatch and missing physical mechanisms in multi-source data, achieving a non-destructive, full-field, and accurate quantitative assessment of the weathering status of cultural relics.

A digital twin modeling method and device for motors based on multi-field coupled PINN (Partial Differential Equations) belongs to the field of intelligent manufacturing and advanced control technology for motors. Its key features include: acquiring stator current, voltage, rotor position, and vibration signals of the motor to construct a full-domain multimodal sensing layer; constructing a multi-field coupled PINN model based on automatic differentiation; and embedding the multi-field partial differential equations (PDEs) inside the motor as prior knowledge into the network structure of the PINN model. By utilizing PINN technology, the physical laws of PDEs are integrated into the neural network, ensuring both millisecond-level inference speed and physical consistency in areas lacking sensor data, achieving both high fidelity and real-time performance. It enables precise virtual sensing of unmeasurable rotor permanent magnet temperature and local magnetic flux density saturation within the motor, achieving full-domain observability. Through edge-cloud collaboration, it can automatically evolve as the physical entities of the motor age (e.g., resistance changes, magnet demagnetization), maintaining model accuracy throughout its entire lifecycle.

The application discloses an image righting method and device of an endoscope, a storage medium and a terminal, and comprises the following steps: acquiring an initial image and a three-axis angular velocity signal of the endoscope; obtaining a posture quaternion by using a quaternion differential equation according to the three-axis angular velocity signal for attitude solution; updating the posture quaternion in real time; interpolating the posture quaternion of adjacent time points to obtain a line-level quaternion and generate a line-level rotation matrix within one frame exposure time; and righting and compensating the initial image to obtain a righted image by using reverse mapping and bilinear interpolation based on the line-level rotation matrix. The application avoids the problems of gimbal lock and functional failure caused by the gimbal lock in Euler angle attitude solution, eliminates the jelly effect by using an interpolation algorithm for line-by-line compensation, avoids the problems of large delay, insufficient real-time performance and difficulty in integration in a limited space caused by traditional software algorithms or external micro control unit post-processing, and better meets the imaging requirements of medical endoscope clinical operation.

This invention discloses a forest fire risk early warning system based on Internet of Things (IoT) communication, belonging to the field of data processing technology. The system comprises a data acquisition module that collects forest area data from edge devices; an environmental feature module that uses an adaptive forgetting factor recursive method to obtain environmental anomaly response vectors; a feature fusion module that extracts image feature tensors, maps these vectors to scaling matrices, combines them with a forced masking weighted feature tensor, and outputs predicted bounding box parameters; a feature inversion module that obtains a penalty matrix based on the parameters, constructs a partial differential equation for canopy drag force, and solves for the fire plume feature matrix and flow field uncertainty tensor matrix by minimizing the inverse source-finding objective function; and a communication optimization module that extracts elements as fire risk mapping weights, arranges them in descending order, and allocates time resources so that the terminal only sends fire plume elements to the decision center. This invention effectively isolates meteorological interference, improves the accuracy of locating small fire points under dense smoke, and solves the communication congestion problem during extreme fire events.

The application relates to the technical field of highway and railway bridge design, and discloses a corrugated steel web curved box girder torsional stress analysis method based on prestress effect, which comprises the following steps: S1, determining the mechanical characteristics of the corrugated steel web box girder bridge; S2, performing equivalent load processing on the prestress effect and performing reasonable simplification; S3, establishing a constraint torsion differential equation of the corrugated steel web combined curved box girder to obtain the constraint torsional normal stress and the constraint torsional shear stress of the required section; S4, combining the curved beam boundary conditions, the torsional double moment and the torsional stress formula of the box girder under various load conditions, adopting the initial parameter method to superimpose the boundary conditions into the general solution form of the constraint torsion differential equation of the corrugated steel web combined curved box girder, extracting the calculation data of the torsional stress of the corrugated steel web combined curved box girder, and analyzing to obtain the torsional stress result of the corrugated steel web combined curved box girder. The corrugated steel web curved box girder bridge torsional performance based on the prestress effect is researched by adopting the application.

The application discloses an adiabatic accelerating calorimetry method with fast reaction heat loss correction. The application realizes more accurate calculation of sample reaction kinetics and thermodynamics by compensating the convection and conduction heat loss in the fast reaction stage; differential equations are derived and solved from the perspective of heat balance by using heat transfer analysis; a new heat loss calibration mode is added, the HWS heating stage is divided into two parts, the convection heat loss coefficient is calibrated by tracking the reaction system temperature by controlling the cover temperature in the first part, and the conduction heat loss coefficient is calibrated by controlling the constant temperature of the furnace body in the second part; the linear fitting and interpolation method are used to solve the relationship between the heat loss coefficient and the temperature in the reaction process; and finally, the heat loss in the reaction process is integrated to compensate the sample heat release. The application improves the accuracy and reliability of the solution of thermodynamic and kinetic parameters.

The present application relates to the field of power system stability analysis and control, in particular to a kind of thermal mass energy storage converter broadband oscillation suppression parameter stable domain identification method, comprising the following steps: establish general electric-thermal coupling mechanism model, construct the dynamic differential equation describing the evolution of input electric power and energy storage medium temperature state of converter;Mechanical dynamics equation is constructed;Establish the small signal state space model of whole system, linearization is carried out at steady state operating point and the state space matrix of whole system is derived;Define practical small disturbance stability domain, set the real part decay rate threshold and minimum damping ratio threshold of whole system eigenvalue;Algebraic singularity constraint equation in high-dimensional parameter space is constructed;Solve algebraic singularity constraint equation, establish parameter stable domain.This method avoids the repeated iteration of traditional eigenvalue analysis, can accurately depict parameter boundary, effectively improve the frequency support capability of high proportion of new energy power grid and system robustness.

The application provides a KDP crystal surface micro-nano defect DPN water-soluble repair morphology evolution simulation method, and relates to the technical field of micro-nano manufacturing, and aims to solve the problem that there is no quantitative method to simulate the evolution process of the KDP crystal surface micro-nano defect DPN water-soluble repair morphology in the prior art. The method comprises the following steps: step one, constructing a defect local growth mathematical model; step two, performing dimension conversion on the defect depth information, and performing dimension reduction processing on the model; step three, converting the defect local growth mathematical model into a standard partial differential equation form; step four, obtaining the initial value of the defect local growth mathematical model, and setting the model boundary condition; step five, performing parameterization scanning on the undetermined coefficient, and determining the undetermined coefficient value; and step six, simulating the KDP crystal surface micro-nano defect DPN water-soluble repair morphology evolution process. Through dimension conversion, the dimension reduction processing of the model is realized, and finally the simulation of the KDP crystal surface micro-nano defect DPN water-soluble repair morphology evolution process is realized.

The present application belongs to the technical field of metal sheet plastic forming and digital control cross, and discloses a kind of aluminum veneer multi-axis linkage numerical control bending method based on springback compensation.The method collects historical bending process data, with sheet thickness, bending radius, die slot width and feed speed as input features to divide process feature subspace, and establishes a bending angle springback amount mapping matrix in each subspace to obtain initial down pressure depth compensation value for performing feedforward control.In the multi-axis linkage bending stage, real-time servo motor torque feedback signal and grating displacement signal are collected, and the real-time plastic deformation resistance of the current bending zone is calculated, and the online compensation correction amount is solved using the dynamic differential equation of deformation resistance and springback angle, and the correction amount is added to the remaining trajectory planning of multi-axis interpolation algorithm.The present application makes the down pressure trajectory self-adaptive correction according to real-time resistance, eliminates the fixed compensation deviation, and improves the compliance of bending angle to target value.

A method for maintaining physical assets based on recommendations generated from operational data analysis and a composite model representing multiple models of the physical assets includes: constructing the composite model by a computing device using a port-reduced static condensed reduction primitive approximation with respect to at least a portion of a partial differential equation; the computing device analyzing error indices associated with at least one model within the composite model to determine if the error indices exceed a tolerance level, and accordingly increasing the number of basis functions in the port-reduced static condensed reduction primitive approximation; the computing device receiving first operational data associated with at least one region of the physical asset and updating the composite model; and the computing device providing recommendations for maintaining the physical asset based on the updated composite model.

This invention proposes an optimized control method and system for the correction mechanism of a circular cutter machine. The method includes: Step 1: Establishing a mechanistic simulation model describing the correction mechanism of the circular cutter machine; inputting a preset low-frequency sinusoidal sweep excitation signal into the correction mechanism; synchronously acquiring lateral offset response data; and determining the unknown dynamic parameters in the mechanistic differential equation through a frequency domain identification algorithm; Step 2: Real-time acquisition of the lateral position offset and linear velocity of the roll material using non-contact sensors at a fixed sampling period T; Step 3: At each sampling moment, using the mechanistic simulation model constructed in Step 1 as a prediction model, and with the currently measured lateral position offset and linear velocity of the roll material as the initial state, constructing a quadratic programming objective function, and solving the correction roller swing angle sequence through online rolling optimization. This method and corresponding system reduce the scrap rate caused by over-correction or under-correction, thereby significantly improving production efficiency.

The application discloses a time-domain fault location method and system for a high-voltage transmission line, and the method comprises the following steps: acquiring and establishing a telegraph equation of the transmission line according to the line structure and the transmission line parameters of the high-voltage transmission line; performing difference discretization on the telegraph equation of the transmission line in the time domain to establish a first-order differential equation; performing matrix conversion on the first-order differential equation to obtain a matrix form equation, and performing space integral conversion on the matrix form equation to obtain a space integral equation; and measuring the fault point position of the high-voltage transmission line according to the space integral equation and the synchronous measurement information of the two ends of the fault line through the voltage continuity principle along the transmission line. The embodiment realizes efficient determination of the fault point position, is not affected by calculation conditions such as difference format and step length, and has high location accuracy.

The application discloses a temperature calculation method for a multilayer casing cement sheath structure, which comprises the following steps: discretizing a radial heat conduction differential equation in a cylindrical coordinate by using a difference method to calculate the temperature of non-boundary points and non-interface points of a wellbore; calculating the temperature of boundary points and interface points based on the boundary conditions and the temperature and heat flux density continuous conditions of any structure interface; and calculating the radial temperature from the center of the wellbore to the outer boundary of a stratum by using a linear equation group obtained by discretizing the heat conduction differential equation in the cylindrical coordinate and the boundary conditions of the radial temperature of the multilayer structure of the wellbore. According to the structural parameters of the wellbore, the thermal physical property parameters of materials and the boundary temperature parameters, the application can accurately calculate the temperature of the multilayer casing cement sheath structure, solves the radial temperature transmission problem under different structures according to the thermal continuous boundary conditions of different structure contact surfaces, and provides a theoretical basis for the temperature transmission problem of the multilayer structure since the calculation method is accurate and efficient.

The application provides a gear fatigue crack propagation life calculation method and system considering random dynamic load, and the method is as follows: a local plane coordinate system is established at a crack tip, and a crack propagation equation is constructed; time-varying mesh stiffness containing a tooth root crack feature is calculated; a vibration differential equation of a gear mesh pair is constructed and solved, and dynamic meshing forces of the gear pair under different crack states are obtained; the dynamic meshing forces of the gear pair under different crack states are processed, and a load spectrum is prepared, and variable amplitude load data with multi-periodicity are obtained; the variable amplitude load data are taken as boundary conditions, crack propagation is simulated, gear fatigue crack propagation data are read from a finite element data file; stress intensity factors are calculated based on the gear fatigue crack propagation data; and fatigue crack propagation life is estimated based on the Paris formula and the stress intensity factors. The method can improve the reliability and fatigue crack propagation life of the gear, improve the safety of equipment, and reduce maintenance costs.

This invention discloses a visual reconstruction method and system for remote sensing interpretation based on a generative diffusion model. The method includes: acquiring high-resolution and low-resolution remote sensing image data; adding different levels of Gaussian noise to the training data using a forward stochastic differential equation until pure Gaussian noise data is obtained; training a noise conditional scoring network to predict the scores corresponding to these noisy data; adding noise to the low-resolution image using a forward stochastic differential equation to finally obtain pure Gaussian noise; using a trained neural network to guide the random noise to gradually converge and generate a super-resolution remote sensing image; rapidly identifying land cover types on the generated remote sensing image; and delineating land cover patches on the original remote sensing image and assigning patch information based on the identified land cover categories. This invention achieves a super-resolution effect from low resolution without changing the land cover types and patch boundaries, thereby reducing interpretation costs and improving interpretation efficiency.

The application provides a vibration isolation method, system and device of a control moment gyroscope system, which can be applied to the technical field of control. The method comprises the following steps: determining current kinematic parameters based on disturbance forces received by multiple components during operation; constructing a differential equation representing a dynamic relationship based on the current kinematic parameters and coupled dynamic characteristics; inputting a system state vector into a disturbance estimation network to output a disturbance estimation value; inputting the system state vector into the differential equation to obtain a disturbance theoretical value; inputting the disturbance estimation value and the disturbance theoretical value into a Hamilton function to obtain an initial control input quantity corresponding to a Hamilton function value satisfying a preset constraint condition; and updating the initial control input quantity in a gradient descent direction of a performance index function approximation value corresponding to the initial control input quantity until a difference between adjacent two performance index function approximation values is less than a preset threshold value, so as to obtain a target control input quantity.

This invention discloses a method for calculating the trajectory of an object dropped from the air into water, and for calculating the drag force F in the direction of water flow y. D The upward force f in the direction of water depth z D This invention establishes the state equations for a bomb falling through the air until it just touches the water surface, calculates the horizontal displacement of the bomb in the air, and sums the horizontal displacements in the air and sea to obtain the relative horizontal displacements between the aircraft and the submarine. Using a dynamic approach and considering the influence of various objective factors, this invention derives the trajectory equations of an object entering the water through dynamic differential equations and boundary conditions. These trajectory equations can be generalized.

The application discloses a power battery thermal simulation reduced-order modeling method and device. The method comprises the following steps: based on a heat conduction differential equation containing an internal heat source, a three-dimensional temperature field calculation model of an electric core is established; a lumped parameter thermal model of each component of a battery system except the electric core is established, and the components at least comprise heat conduction glue and a cold plate; the three-dimensional temperature field calculation model and the lumped parameter thermal model are coupled for simulation, and a highest temperature time sequence and a lowest temperature time sequence of the electric core are obtained. Through coupling the three-dimensional temperature field calculation model of the electric core based on the heat conduction differential equation and the lumped parameter thermal model of the peripheral components such as the heat conduction glue and the cold plate, the accuracy of the highest and lowest temperature prediction of the power battery is remarkably improved under the premise of ensuring the simulation calculation efficiency and meeting the long-term life simulation demand, and an efficient and reliable technical means is provided for the accurate evaluation of the battery life, the optimization of the thermal management strategy and the safe design of the battery system.

This application provides a method, apparatus, and computer equipment for predicting the carbon dioxide diffusion coefficient in heavy oil enhanced oil recovery, relating to the field of oil and gas development technology. The method is based on Fick's law and the law of conservation of mass. It determines the saturated carbon dioxide concentration in heavy oil through carbon dioxide diffusion experiments. Simultaneously, it considers the volume expansion of heavy oil caused by carbon dioxide dissolving in it, and the oil relative flow opposite to the carbon dioxide diffusion direction caused by this volume expansion. Based on this, a partial differential equation is established to obtain a carbon dioxide diffusion model. The experimentally obtained saturated carbon dioxide concentration in heavy oil is used as the constraint condition for constructing the carbon dioxide diffusion model. The carbon dioxide diffusion model considers the volume expansion change of heavy oil as a one-dimensional expansion change, that is, the volume expansion change of heavy oil is considered through the change in the heavy oil liquid level. Finally, an iterative method is used to obtain a numerical solution. The above method achieves reliable and accurate prediction of the carbon dioxide diffusion coefficient.

The application discloses a finite time synchronization and quantization control method of a memristor neural network, and comprises the following steps: step 1, constructing a memristor neural network system model; step 2, constructing a controller for the memristor neural network system model in step 1; step 3, constructing definitions and lemmas required for time synchronization and quantization control of the memristor neural network; and step 4, combining steps 1 to 3 to perform time synchronization and quantization control on the memristor neural network. The application proposes a new control theory and analysis method for finite time synchronization and quantization control of the memristor neural network based on theories such as comprehensive differential equations, neural networks, quantization control and finite time stability, and provides a new idea and approach for synchronization and control research of the memristor neural network.

This application relates to a method and system for IGBT hotspot identification based on transient thermal resistance curves, belonging to the field of IGBT thermal monitoring technology. The method includes: loading the junction-shell transient thermal resistance curve from the datasheet to construct a fractional-order thermal network model containing equivalent thermal resistance, thermal capacity, and fractional order; obtaining model parameters through parameter identification; real-time acquisition of electrical quantities and temperature to calculate power loss; substituting the power loss into the fractional-order differential equation to solve for the junction-shell temperature difference, and combining this with the operating temperature to obtain a real-time estimated junction temperature; and identifying hotspots based on the estimated junction temperature to obtain hotspot status information. This method achieves a complete closed loop from offline modeling and parameter identification to real-time junction temperature monitoring and hotspot identification. This application solves the problems of low reliability of a single junction temperature criterion and the inability to distinguish the location of thermal aging in the chip layer, solder layer, and substrate layer in IGBT thermal monitoring.

This application provides a method, apparatus, storage medium, and electronic device for groundwater prediction in cold regions based on freeze-thaw boundary fields. The electronic device acquires multiple training samples sampled from the target area. Each training sample includes a historical freeze-thaw boundary field and a historical hydrogeological field. Based on the processing results of the multiple training samples by the neural operator model, groundwater prediction information corresponding to each training sample is obtained. Based on the difference between the actual groundwater observation information and the groundwater prediction information, the neural operator model is updated to obtain a groundwater prediction model that meets the convergence condition. The groundwater prediction model trained in this way can quickly complete regional groundwater prediction under various freeze-thaw disturbance scenarios such as warm winters with early thawing and heavy snow years, thereby overcoming the time-consuming process of repeatedly solving partial differential equations in traditional numerical simulations.

A polyhedral reduced-order model (ROM) generator is provided for use by an optimization controller in a heating, ventilation, and air conditioning system. The physical model generator includes: interface circuitry for receiving a training dataset via a network connected to an analog computer; a memory for storing the polyhedral ROM for predicting the dynamics of airflow in a room, the training dataset, and instructions for calculating parameters of the polyhedral ROM; and a processor for calculating the parameters of the polyhedral ROM. The computation includes computing a global projection operation from a higher-dimensional state to a reduced-order state, computing a global lifting operation from the reduced-order state to a higher-dimensional state, constructing a local reduced-order model of the reduced-order state dynamics for each physical parameter value in the training dataset, and generating the polyhedral ROM by combining a weighted average of the local reduced-order model with the projection and lifting between the reduced-order state and the full state.

The application relates to the technical field of bridge design, and discloses a prestress equivalent treatment method for a curved box girder bridge, which comprises the following steps: S1, obtaining a balance differential equation of the curved box girder bridge under a pre-tension load according to the balance of forces on the micro end of the curved box girder bridge; S2, obtaining a prestress initial internal force equation of the curved box girder bridge according to the balance of internal and external forces on a section; S3, substituting the prestress initial internal force equation into the balance differential equation, and obtaining a prestress equivalent load of the curved box girder bridge after arrangement; and S4, treating the prestress effect equivalent load and reasonably simplifying the prestress effect equivalent load. The prestress equivalent treatment method for the curved box girder bridge is helpful to clarify the action mechanism of the prestress effect of the curved box girder bridge, so that the subsequent design of the curved box girder bridge is more convenient.