80 results about "Erosion rate" patented technology

According to the MoSi2 coating erosion rate prediction method based on the particle collision theory, a MoSi2 coating erosion rate prediction model is constructed based on the particle collision theory, and the dynamic damage process of a MoSi2 coating is simulated through a test measurement set obtained by carrying out a particle-containing high-temperature combustion gas flow erosion test. The mass loss of the MoSi2 coating formed under the erosion of the particle-containing high-temperature combustion gas flow is obtained, so that the prediction of the MoSi2 coating erosion rate prediction model is more accurate, and meanwhile, the limitation of a traditional erosion prediction model method on the characterization of a multi-factor coupling effect is broken through; in addition, the dynamic damage process of the MoSi2 coating is visualized by constructing a morphology graph prediction model, and a high-confidence-coefficient theoretical tool is provided for anti-erosion design of the MoSi2 coating.

The invention relates to the technical field of environmental assessment, and provides a plateau region soil erosion attribution method, system, medium and equipment, and the method comprises the steps: calculating the soil erosion rate of each calculation unit in a research region through a soil erosion model based on multi-source geographic space data; the soil erosion rate is a product of a rainfall erosivity factor, a soil erodibility factor, a slope length gradient factor, a vegetation coverage management factor and a water and soil conservation measure factor; a rainfall erosivity factor, a soil erodibility factor, a slope length and gradient factor, a vegetation coverage management factor and / or a water and soil conservation measure factor are used as key driving factors, and the control degree of the key driving factors on the soil erosion rate change is calculated by adopting a logarithmic mean Dewei index method; wherein the control degree sets a weighting coefficient for each calculation unit in the calculation process, and the weighting coefficient is constructed based on the difference between each calculation unit and the preset reference region. And the independent contribution of each factor to the erosion change can be accurately separated.

A method for adjusting a height of an edge ring arranged around an outer portion of a substrate support includes receiving at least one input indicative of one or more erosion rates of the edge ring. The at least one input includes a plurality of erosion rates for respective usage periods of a substrate processing system. The method further includes determining at least one erosion rate of the edge ring using the plurality of erosion rates for the respective usage periods, monitoring an overall usage of the edge ring and storing the overall usage of the edge ring in a memory, calculating an amount of erosion of the edge ring based on the determined at least one erosion rate and the overall usage of the edge ring, and adjusting the height of the edge ring based on the calculated amount of erosion to compensate for the calculated amount of erosion.

The invention provides a coastal erosion rate prediction method, and belongs to the technical field of coastal erosion, and the method comprises the steps: building a three-dimensional seabed grid model, solving a hydrodynamic field through depth average simplification and GPU parallel calculation, and calculating sediment flux distribution based on shear stress discrimination and a high-order windward format. Outputting an erosion mode category and a local erosion strength coefficient by using a coastline erosion feature recognition model comprising a Josephh ring screening layer and a self-organizing mapping projection layer, starting adaptive grid encryption when the local erosion strength exceeds a threshold value, and calling a corresponding parameter set according to an erosion mode to calculate a seabed elevation change and a coastline erosion rate; and a wave energy spectrum reconstruction algorithm is adopted to generate future wave sequence cycle prediction, so that the technical problem that calculation precision and calculation efficiency are difficult to consider in coast erosion rate prediction under a complex wave power condition is solved.

The present invention discloses a method and device for quantifying chemical and physical erosion of rocks, which relates to the fields of geological science and engineering technology, and includes: Step 1, establishing a rock model with fractures by using real rocks; Step 2, detecting the parameters of the initial fractures and calculating the initial volume of the fractures; Step 3, conducting erosion tests and collecting the leachate; Step 4, calculating the volume of the chemically corroded part by detecting the amount of soluble minerals in the leachate; Step 5, recording the relevant parameters of the fractures in the final state and calculating the final volume of the fractures; Step 6, calculating the volume parameter of the physically eroded part according to the final volume of the fractures, the initial volume of the fractures and the volume of the chemically corroded part. The present invention also provides a device for quantifying chemical and physical erosion of rocks. The solution provided by the present invention realizes the purpose of quantifying chemical and physical erosion of rocks, and further can quantify the relationship between the physical erosion rate and the chemical corrosion rate of rocks.

The invention relates to the technical field of soil erosion and cadmium migration simulation experiments, in particular to a karst slope cropland soil erosion and cadmium migration simulation experiment device and method.The karst slope cropland soil erosion and cadmium migration simulation experiment method comprises the steps that a preset soil sample is placed on a soil erosion simulation platform, and environmental factors are adjusted according to experiment requirements; comprising terrain gradient, earth surface rock exposure rate, underground porosity and geological structure; starting a rainfall simulation system, performing rainfall simulation according to preset rainfall intensity, duration and mode, starting a data acquisition system at the same time, and monitoring and recording rainfall parameters in real time; in the rainfall process, soil erosion phenomena including earth surface / underground sediment yield, runoff yield and erosion rate are observed and recorded, and sediment samples are collected through a sediment collector; and performing cadmium concentration determination on the collected sediment sample and runoff sample by using a cadmium concentration analysis instrument, and recording data. And a coupling mechanism between the erosion process and cadmium migration can be more comprehensively understood.

The invention relates to the technical field of oil and gas pipelines, and provides an erosion rate calculation method and system based on key parts of an oil and gas pipeline. The pipeline key area comprises an elbow, a tee joint and a valve; b, constructing a first erosion rate prediction model; c, introducing a correction factor to correct the first erosion rate prediction model so as to construct an erosion rate engineering prediction model; d, inputting the pipeline process parameters and the erosion particle parameters into the erosion rate engineering prediction model, and outputting the target erosion rate of the pipeline; and analyzing the residual life of the pipeline according to the target erosion rate, the current wall thickness of the pipeline and the designed minimum safety thickness. The method can accurately and quickly calculate the erosion rate of the key parts of the tubing string and the gas transmission pipeline.

The invention discloses a mining area ecological soil erosion rate monitoring method, and relates to the technical field of soil monitoring. The method comprises the following steps: dividing a mining area monitoring area and arranging a monitoring network; collecting multi-source data based on the monitoring network; performing setting processing and compliance detection on the multi-source data to obtain preprocessed data; inputting the preprocessed data into a soil erosion rate prediction model to obtain a soil erosion rate prediction result; the soil erosion rate prediction model is constructed by adopting a random forest algorithm, terrain parameters, vegetation coverage and soil property parameters are used as input variables, and the soil erosion rate is used as an output variable; and setting an early warning threshold value, triggering early warning information when the soil erosion rate prediction result exceeds the early warning threshold value, and transmitting the early warning information to an equipment end of a supervisor. The mining area ecological soil erosion rate monitoring precision can be improved.

The invention discloses a landslide catastrophe simulation and multi-parameter early warning method coupling river erosion and progressive deformation. The method comprises the steps that a rock-soil domain and a fluid domain in a model are discretized into particle sets respectively, bidirectional coupling calculation is conducted, and real-time interactive updating of the erosion rate, the pore water pressure, rock-soil deformation and the boundary form is achieved; based on the stress, strain, displacement and damage field variables obtained through calculation, multi-parameter criterion indexes of the point scale, the surface scale and the body scale are calculated in real time; and carrying out normalization and direction unification on the multi-scale criterion indexes, constructing a joint risk index through weighted fusion, and carrying out landslide early warning grade judgment according to the joint risk index. According to the method, bidirectional strong coupling numerical simulation of the whole process of river erosion, underground water seepage, rock-soil progressive deformation and large slippage is achieved for the first time, a multi-scale fusion early warning index system is constructed, and the accuracy and reliability of glide catastrophe prediction and risk early warning in the complex environment are remarkably improved.

The invention belongs to the technical field of geotechnical engineering numerical simulation and parameter identification, and discloses a parameter probability inversion method and system based on SPH water and soil coupling scouring erosion, and the method constructs a probability inversion framework combining smoothed particle hydrodynamics (SPH) and a Bayesian-Markov chain Monte Carlo (MCMC) method. Large deformation and dynamic evolution of a water-soil interface in a water-sand two-phase flow scouring erosion process are simulated through an SPH method, priori knowledge and observation data are fused by adopting a Bayesian theory, and posterior probability distribution estimation of key soil parameters (such as an initial internal friction angle and an erosion rate) is realized by utilizing an MCMC algorithm. According to the method, the probability prediction from parameter uncertainty quantification to the scouring erosion model is realized, the reliability of scouring erosion numerical simulation is improved, the dependence on empirical parameters is reduced, and the technical problem that the existing method is difficult to consider complex water-soil coupling process simulation and parameter uncertainty quantification inversion is effectively solved.

The invention discloses a method for predicting the erosion rate of a control manifold of an offshore oil and gas exploration well. The method comprises the following steps: constructing a support vector machine model; wherein the input parameters of the support vector machine model are the manifold diameter, the manifold bending angle, the fluid speed, the fluid density and the fluid viscosity, and the output parameter of the support vector machine is the maximum erosion rate of the well control manifold; optimizing penalty function coefficients and kernel function parameters of the support vector machine model by adopting a genetic algorithm to obtain an optimized support vector machine model; training the optimized support vector machine model to obtain a well control manifold erosion rate prediction model; and acquiring the manifold diameter, manifold bending angle, fluid velocity, fluid density and fluid viscosity of the to-be-predicted well control manifold, and inputting into the well control manifold erosion rate prediction model to obtain the maximum erosion rate of the to-be-predicted well control manifold. According to the well control manifold erosion rate prediction method provided by the invention, the maximum erosion rate of the well control manifold can be accurately predicted.

This invention discloses a soil and water conservation monitoring method based on automatic positioning and orientation technology, belonging to the field of soil and water conservation monitoring technology. Utilizing automatic positioning and orientation technology and a data acquisition module, it collects relevant monitoring data on rainfall, elevation, equipment tilt, vegetation cover, soil yield, and soil erosion in the currently monitored soil area. Using a data processing module, it calculates and outputs the soil erosion rate TQS, the soil and water conservation measure effectiveness value SBX, and the comprehensive soil and water conservation benefit value SBZ. Based on the comprehensive soil and water conservation benefit value SBZ, a monitoring and early warning module provides real-time monitoring and early warning, guiding the formulation of soil and water conservation measures. This algorithm unit, through comprehensive data collection, real-time monitoring, early warning and feedback, cost reduction, and scientific optimization strategies using automatic positioning and orientation technology, provides a more accurate, efficient, and scientific solution for soil and water conservation work.

The present invention discloses a method, a system and a device for predicting the water erosion damage of steam turbine blades, which relates to the technical field of water erosion damage prediction. The method includes establishing a three-dimensional blade and outer flow field geometric model, meshing the geometric model to obtain a graph structure capable of representing grid cells; performing numerical simulation using the graph structure to obtain a water erosion data training set; constructing a water erosion damage evaluation model for the blade, and the water erosion damage evaluation model includes a flow field prediction network and a moving blade erosion rate prediction network; using the water erosion data training set to input into the water erosion damage evaluation model for training to predict the moving blade erosion rate caused by the impact of secondary water droplets at different radial heights. The present invention uses a sufficient amount of blade water erosion analysis results as sample data to train the prediction network based on the distribution of liquid phase parameters in the flow field and the moving blade erosion rate prediction network, realizes the rapid prediction from design parameters to the moving blade erosion rate of the last stage, and improves the accuracy of the moving blade erosion rate prediction at the same time.

The utility model discloses a dam water and soil loss rate detection device, and relates to the technical field of water and soil loss rate detection. Comprising an installation support, the installation support is provided with a sampling mechanism used for detecting the water and soil loss rate of a dam, the sampling mechanism comprises an adjusting assembly, pushing is conducted through the effect of a second electric push rod, and angle rotation adjustment of a supporting sliding rail in a sliding block support through a supporting shaft is achieved; the angle of the soil sampling cutter is controlled, control is performed according to a dam with an inclined plane, it is ensured that the sampling cutter can cut into soil in a proper posture no matter a gentle slope or an abrupt slope, it is ensured that soil sampling can be smoothly performed under the complex terrain condition, and the adaptability of the detection device to different dam terrains is greatly improved; incomplete sample collection or mixing of other layers of soil due to angle deviation is avoided, so that the sampling accuracy and the sample reliability are improved.

This invention discloses a method and system for analyzing soil erosion telemetry data based on deep learning, belonging to the field of data analysis technology. The method includes: extracting soil loss data, surface runoff data, and topographic data; fusing the soil loss data, surface runoff data, and topographic data, and obtaining soil erosion risk index data and soil erosion rate data through feature extraction technology; calculating the weight values ​​of the soil erosion risk index data and soil erosion rate data using feature evaluation technology; and constructing a soil erosion prediction model based on the soil erosion risk index data, soil erosion rate data, and weight values ​​using a deep learning framework and spatiotemporal analysis algorithm. This invention, through telemetry data collection and feature extraction, can quickly obtain key soil erosion information, simplifying the data processing workflow and ensuring the accuracy and reliability of the data.

The invention provides a joint diagnosis data processing method and system based on Hall electric propulsion data, and relates to the field of space electric propulsion. The plume erosion rate is calculated based on the change rate of the sensor resistance, the material type of the erosion sensor and the geometric dimension; according to the material sputtering yield of the erosion sensor, the working medium and working voltage of the thruster, the bias voltage of the Faraday probe and measurement interference data of the bias voltage on the plume erosion rate, the erosion rate of the plume is calculated. Measuring the resistance of the sensor by using a four-wire method in a time sequence in a specified period and measuring the ion current density by using a Faraday probe in another time sequence in the specified period; and calculating plume power density distribution according to the plume erosion rate, the ion current density, the linearly fitted material sputtering rate function and the position of the joint acquisition structure in the plume.

The invention discloses a water and soil conservation monitoring method based on an automatic positioning and orientation technology, and relates to the technical field of water and soil conservation monitoring. The automatic positioning and orientation technology and a data acquisition module are utilized to acquire related monitoring data of rainfall, elevation, equipment inclination, vegetation coverage, soil yield and soil erosion of a current monitoring soil area; a data processing module is utilized to calculate and output a soil erosion rate TQS, a water and soil conservation measure effect value SBX and a comprehensive water and soil conservation benefit value SBZ, and a monitoring and early warning module performs monitoring and early warning in real time based on the comprehensive water and soil conservation benefit value SBZ and guides formulation of water and soil conservation measures. The algorithm unit provides a more accurate, efficient and scientific solution for water and soil conservation work through comprehensive data collection, real-time monitoring, early warning and feedback of an automatic positioning and orientation technology, cost reduction and scientific strategy optimization.

A coated tool includes a base and a coating film on the base. The coating film includes an Al2O3 layer, and a surface layer on the Al2O3 layer. The surface layer has a first erosion rate of 0.1 μm / min or less. The first erosion rate is obtained from measurement by causing a liquid A, in which 3 mass % of amorphous Al2O3 particles having a mean particle diameter of 1.1-1.3 μm is dispersed in purified water, to collide with the surface layer. The surface layer has a second erosion rate of 2.0 μm / min or more. The second erosion rate is obtained from measurement by causing a liquid B, in which 3 mass % of spherical Al2O3 particles having a mean particle diameter of 2.8-3.2 μm is dispersed in purified water, to collide with the surface layer.

This invention discloses a measurement system and method suitable for measuring the sand-fixing capacity of vegetation roots in the field, comprising: a sample lifting device, a field module, a measurement module, a sand sample crushing device, and an integrated control system. This invention can simultaneously achieve real-time and high-precision monitoring of data such as sand content and flow velocity during experiments. It quantifies and analyzes the sand-fixing capacity of vegetation roots through parameters such as soil erosion rate and critical initiation velocity of soil sediment, making it particularly suitable for determining the sand-fixing capacity of vegetation roots in coastal areas.

The invention provides a river bank erosion monitoring and evaluating method and system based on unmanned aerial vehicle inspection, and belongs to the technical field of hydraulic engineering monitoring. Comprising the following steps: S1, segmenting a river bank, and selecting segmented river bank areas needing to be monitored; s2, acquiring historical data of hydrological conditions, erosion resistance, gradient, rainfall intensity and historical vegetation coverage of the monitored segmented river bank areas, and constructing a river bank erosion rate prediction model based on the historical data; s3, planning a flight path of the unmanned aerial vehicle in the monitored segmented river bank area, and obtaining orthoimage maps at different monitoring times; s4, calculating the actual erosion rate of the segmented river bank area according to the ortho-image maps at different monitoring times; and S5, according to the calculated actual erosion rate and the predicted erosion rate of the river bank erosion rate prediction model at the corresponding moment, evaluating the river bank erosion degree according to the difference condition and value between the actual erosion rate and the predicted erosion rate.

The present invention discloses a calculation method, system, device and storage medium for the erosion rate during the movement of debris flow, belonging to the field of debris flow prevention and control engineering. The method includes obtaining the characteristic parameters of the debris flow fluid, performing dimensionless analysis based on the characteristic parameters of the debris flow fluid, and calculating the dimensionless parameters Froude number, Savage number, and Bagnold number; obtaining the characteristic parameters of the channel through which the debris flow passes, and constructing a calculation model for the dimensionless erosion rate of the debris flow in the channel according to the relationship between the characteristic parameters of the debris flow fluid and the characteristic parameters of the channel through which the debris flow passes and the erosion rate; solving the calculation model of the dimensionless erosion rate. The present invention can meet the needs of actual engineering design of debris flow, has high feasibility and practicability, can more accurately predict the erosion situation of debris flow, thereby more effectively guiding the design of debris flow prevention and control engineering, and providing technical support for realizing disaster reduction and prevention.

The invention provides a concrete member apparent defect assessment method and system, and the method comprises the following steps: obtaining the three-dimensional point cloud, environmental erosion and characterization stress distribution data of the surface of a concrete member, calculating the defect area based on the three-dimensional point cloud data, taking the ratio of the defect area to the member area as a geometric factor, and calculating the apparent defect of the concrete member based on the environmental erosion data. Calculating a predicted erosion rate through a time sequence prediction model, taking a ratio of the predicted erosion rate to a standard erosion rate as an environmental factor, and taking a ratio of actually measured stress to surface stress obtained by the prediction analysis model as a mechanical factor based on characterization stress distribution data; and carrying out weighted fusion on the geometric factors, the environmental factors and the mechanical factors by adopting a dynamic adjustable mode to generate a comprehensive defect index, inputting the comprehensive defect index into the defect evaluation model, and outputting the severity level of the apparent defect. According to the method, automatic evaluation of the concrete member is realized, and the objectivity and scientificity of evaluation are improved.

The present application relates to a kind of solid-liquid two-phase flow erosion life prediction method of submersible electric pump wide flow condition, it includes: constructing the full parameterization fluid domain grid model of submersible electric pump impeller guide vane;Set wide flow discrete working condition sequence, obtain the unsteady flow field data under the multiple discrete flow working condition section covered to;By constructing the two-way coupling discrete phase-turbulent two-phase flow model coupled Saffman lift correction, extract the transient parameter when particle impact impeller guide vane wall;Flow correlation dynamic hardness index function is built;Determine the instantaneous erosion rate of each working condition section in combination with Saffman lift correction factor;Obtain the total erosion damage degree of each node on impeller guide vane wall after experiencing total flow working condition section;The erosion life of impeller guide vane and each sub-region is predicted.The present application introduces flow correlation dynamic hardness index and dynamic velocity index, and reduces the simulation prediction error of erosion rate under variable condition to 12% or less from more than 30% of traditional method.

The invention relates to an on-line measuring device and a measuring method for sample abrasion loss under a single variable condition, an impact particle swarm generation unit generates particle swarms with different impact speeds, and a measuring box is used for placing a sample and is provided with a temperature adjusting unit, a gas guide unit and a measuring unit for on-line measurement of sample quality. And the controller controls and cooperates to complete the abrasion loss test of the high-temperature oxidation sample under the variable temperature condition and the corrosion atmosphere. According to the method, the erosion rate data is calculated more accurately by monitoring the sample quality in real time, the prediction logic of the damage period caused by erosion is obtained by mastering the relationship between particle erosion and steel sheet quality change under different working conditions, and a theoretical basis is provided for equipment maintenance; the erosion weight loss of the steel sheet sample under the conditions of different particle components, impact angles and medium flow rates at high temperature can be tested, and repeated erosion experiments are performed on a single sample by testing the mass of the erosion steel sheet in real time, so that the change rule of the surface damage degree and the weight loss of the sample along with time under different working conditions is obtained.

The present application provides a kind of coal mining subsidence area slope soil erosion intensity evaluation method, device, equipment and medium, belong to soil monitoring field, the method includes: obtaining coal seam goaf parameter;And the maximum subsidence value of corresponding subsidence area of coal seam goaf is calculated by pre-constructed elastic foundation beam model;Further, the subsidence value function is constructed by probability integration method, and the subsidence value function is derived to calculate the slope distribution of subsidence area slope;Based on slope distribution and subsidence area boundary, the slope length of subsidence area is obtained by curve fitting and integral calculation;Based on the slope area water depth, the density of water, the acceleration of gravity and the slope distribution, the slope length of subsidence area is integrated, and the slope water flow comprehensive shear stress is obtained;Based on the slope water flow comprehensive shear stress and the pre-determined soil parameters, the soil erosion rate of subsidence area slope is obtained;Further, the soil erosion intensity of subsidence area slope is evaluated, and the problem of inaccurate evaluation of soil erosion of coal mining subsidence area slope is solved.

The embodiment of the present application provides a kind of soil erosion evaluation method, device, electronic equipment and storage medium, the method comprises: obtaining the coverage of different surface types of soil in target area, and determine the soil erodibility coefficient of different surface types of soil in target area;Target environmental information of target area is obtained, and according to target environmental information and coverage, determine bed surface shear stress and soil erosion critical shear stress;According to bed surface shear stress, soil erosion critical shear stress and soil erodibility coefficient, determine the soil erosion rate of target area.By the embodiment of the present application, the soil erosion rate can be accurately determined.

The invention provides a sandy river bank collapse real-time monitoring and early warning method. The method comprises the following steps: determining a bank collapse monitoring section; measuring a sediment underwater repose angle as a critical instability slope angle phi through an indoor test, and calculating a critical slope toe position; arranging a rigid long rod monitoring device with a photosensitive sensor, and transmitting light intensity data in real time; a real-time slope toe scouring position, an underwater bank slope angle theta and an erosion rate v are obtained based on light intensity signal analysis; comparing theta with phi, dividing early warning levels and triggering a signal; and adjusting the monitoring frequency according to the early warning level, estimating the bank collapse remaining time in combination with the erosion rate, and taking engineering measures or evacuating if necessary. Through automatic high-frequency monitoring, manpower is saved, early warning calculation is simplified, and efficiency is improved; the bank collapse time and the hidden danger level can be predicted through graded early warning, the prevention and treatment cost is reduced through accurate strategy, and technical reference is provided for sandy river bank collapse monitoring and early warning.

The present invention relates to the technical field of numerical simulation of crustal dynamics, and provides a three-dimensional in-situ stress numerical simulation method based on deep and shallow dynamic bidirectional coupling, including constructing a three-dimensional geometric model of a target area and configuring deep rock elastoplastic rheological parameters and a shallow surface erosion rate equation; generating deep unstructured grids and shallow surface irregular grids by using a differential grid strategy, and setting an adaptive time step control; configuring a nonlinear solver to achieve staged solution of thermo-mechanical coupling equations, and completing cross-scale data transfer through bilinear interpolation; running the simulation to output a material property field, a pressure field and a strain rate field; converting the results into a standardized format and visually marking stress concentration areas. Through the deep and shallow dynamic bidirectional coupling mechanism, the present invention realizes the synchronous simulation of tectonic driving and surface response, and significantly improves the simulation accuracy and engineering applicability of crustal dynamics evolution.

The present application relates to the technical field of erosion prediction and equipment health assessment of polysilicon cold hydrogenation device, and discloses a kind of based on mechanism and data fusion's silicon-based new material cold hydrogenation reactor conveying elbow pipe's erosion rate prediction method, obtains elbow pipe inner diameter, curvature ratio, bending angle, particle mass flow rate, particle size and particle velocity, establishes parameterized elbow pipe geometric model, and based on verified gas-solid two-phase flow erosion numerical model, the wall surface erosion rate under sample working condition is calculated, and the maximum erosion rate is extracted to construct LHS-CFD sample database;Erosion rate prediction model consisting of mechanism trend term and Gaussian process residual term is constructed;After inputting target working condition parameters into the trained model, the maximum erosion rate prediction value, prediction variance and prediction interval are output.The present application combines high-fidelity numerical samples with mechanism-constrained proxy modeling, which can reduce the cost of repeated CFD calculation for new working conditions, improve the efficiency of multi-condition erosion rate rapid assessment, parameter screening and high erosion condition identification.

The invention discloses a safety monitoring method and device for a boiler pipeline, a storage medium and computer equipment. The method comprises the steps that target inlet parameters and target measuring point parameters of a boiler pipeline are input into a modal coefficient prediction model, and erosion rate distribution modal coefficients of the boiler pipeline at different moments are determined; performing linear combination on the erosion rate distribution mode coefficient and the erosion rate distribution mode of the boiler pipeline to determine a target erosion rate distribution matrix; calculating a second thickness distribution matrix at the current moment based on the first thickness distribution matrix and the target erosion rate distribution matrix of the boiler pipeline obtained in the previous sampling period; and if the thickness of any measuring point position in the second thickness distribution matrix is smaller than or equal to the pipe explosion thickness of any measuring point position, outputting early warning information. Therefore, accurate prediction of the erosion rates at different measuring point positions and at different moments of the boiler pipeline is realized, the change condition of the thickness of the boiler pipeline is reflected in real time, and an early warning signal is sent out when pipe explosion possibly occurs.