Compressor impeller fault life reliability analysis method, device, equipment and medium

Abstract

The invention discloses a compressor impeller fault life reliability analysis method, device and equipment and a medium. The method is characterized by comprising the steps that three-dimensional point cloud data of a target compressor are collected, three-dimensional modeling is conducted on the target compressor according to the three-dimensional point cloud data, and a compressor three-dimensional model is determined; performing particle erosion simulation and compressor crack propagation simulation on the compressor three-dimensional model, and determining an erosion reliability model; impeller fatigue simulation is conducted on the compressor three-dimensional model, and a fatigue reliability model is determined; and a compressor impeller reliability model is established according to the erosion reliability model and the fatigue reliability model, fault life reliability analysis is conducted on the target compressor based on the compressor impeller reliability model, and the impeller fault life reliability of the target compressor is determined. A comprehensive fault life reliability prediction model can be established for the compressor impeller, the reliability of the compressor impeller can be accurately predicted, and a reference function is provided for health management and maintenance of the compressor.

Description

Technical Field

[0001] The present invention relates to the technical field of compressors, and in particular, to a method, device, equipment, and medium for analyzing the failure life reliability of compressor impellers. Background Art

[0002] The compressors in gas transmission pipeline compressor stations are mainly used to boost the natural gas transported through the natural gas pipeline, so that the natural gas pipeline network can efficiently transport natural gas over a long distance; and the compressor impeller is the core component to achieve natural gas boosting. Through the high-speed rotation of the compressor impeller, mechanical energy can be converted into the pressure energy and kinetic energy of the gas, thereby realizing the boosting of natural gas; therefore, analyzing the reliability of the compressor impeller is the top priority for ensuring natural gas pipeline transportation. With the intelligent calculation method, the intelligent analysis of the health status of the compressor impeller is the current mainstream direction. In the prior art, relevant data of the compressor are usually obtained through sensors deployed on the compressor, and an intelligent diagnosis model driven by data training is trained based on the relevant data to intelligently diagnose the reliability of the compressor impeller; however, the solution of the prior art, as a diagnosis method driven by data training, needs to rely on a sufficient amount of labeled data to train a high-precision learning model. However, the working conditions of centrifugal compressor units are complex and changeable, and the safety requirements are high. It is difficult to obtain accurate and complete fault information, resulting in a low accuracy of the intelligent diagnosis model. On the other hand, the internal flow state and mechanical distribution of the centrifugal compressor are complex, and the monitoring signals of the casing can only reflect the overall health status of the centrifugal compressor and cannot accurately locate the degree of deterioration of the compressor impeller. Summary of the Invention

[0003] The present invention provides a method, device, equipment, and medium for analyzing the failure life reliability of compressor impellers to solve the technical problem of being unable to accurately determine the reliability of the compressor impellers in the compressor stations of the natural gas pipeline network's gas transmission pipelines.

[0004] According to one aspect of the present invention, a method for analyzing the failure life reliability of compressor impellers is provided, including:

[0005] Collecting three-dimensional point cloud data of a target compressor, performing three-dimensional modeling on the target compressor according to the three-dimensional point cloud data, and determining a three-dimensional model of the compressor;

[0006] Performing particle erosion simulation and compressor crack propagation simulation on the three-dimensional model of the compressor to determine an erosion reliability model;

[0007] Performing impeller fatigue simulation on the three-dimensional model of the compressor to determine a fatigue reliability model;

[0008] Establish a reliability model of the compressor impeller based on the erosion reliability model and the fatigue reliability model, and perform a failure life reliability analysis on the target compressor based on the compressor impeller reliability model to determine the impeller failure life reliability of the target compressor.

[0009] According to another aspect of the present invention, there is provided an apparatus for analyzing the failure life reliability of a compressor impeller, comprising:

[0010] A 3D modeling module, configured to collect 3D point cloud data of a target compressor, perform 3D modeling on the target compressor according to the 3D point cloud data, and determine a 3D model of the compressor;

[0011] An erosion simulation module, configured to perform particle erosion simulation and compressor crack propagation simulation on the 3D model of the compressor to determine an erosion reliability model;

[0012] A fatigue simulation module, configured to perform impeller fatigue simulation on the 3D model of the compressor to determine a fatigue reliability model;

[0013] A reliability analysis module, configured to establish a reliability model of the compressor impeller according to the erosion reliability model and the fatigue reliability model, perform a failure life reliability analysis on the target compressor based on the compressor impeller reliability model, and determine the impeller failure life reliability of the target compressor.

[0014] According to another aspect of the present invention, there is provided an electronic device, the electronic device comprising:

[0015] At least one processor; and

[0016] A memory communicatively connected to the at least one processor; wherein,

[0017] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for analyzing the failure life reliability of a compressor impeller according to any embodiment of the present invention.

[0018] According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to execute the method for analyzing the failure life reliability of a compressor impeller according to any embodiment of the present invention when executed.

[0019] In the technical solution of the embodiment of the present invention, three-dimensional point cloud data of a target compressor is collected, and three-dimensional modeling of the target compressor is performed according to the three-dimensional point cloud data to determine a three-dimensional model of the compressor. Through high-precision three-dimensional model simulation, the efficiency and accuracy of the simulation are improved; particle erosion simulation and compressor crack propagation simulation are performed on the three-dimensional model of the compressor to determine an erosion reliability model. By performing erosion simulation on the compressor impeller, the erosion process can be effectively simulated to obtain the erosion reliability model. Through the erosion reliability model, the influence of erosion on the life of the compressor impeller can be determined, and the accuracy of the life analysis of the compressor impeller is improved; impeller fatigue simulation is performed on the three-dimensional model of the compressor to determine a fatigue reliability model. By performing fatigue simulation on the compressor impeller, the fatigue reliability of the compressor impeller can be accurately determined, and further improve the accuracy of the life analysis of the compressor impeller. According to the erosion reliability model and the fatigue reliability model, a reliability model of the compressor impeller is established, and based on the reliability model of the compressor impeller, a failure life reliability analysis of the target compressor is performed to determine the impeller failure life reliability of the target compressor. By comprehensively integrating the fatigue reliability model and the erosion reliability model, a reliability model of the compressor impeller is obtained, which can effectively perform life analysis on the compressor impeller, comprehensively analyze the failure life of the compressor impeller, solve the technical problem of being unable to accurately determine the reliability of the compressor impeller in the gas compression station of the natural gas pipeline network, and can accurately predict the reliability of the compressor impeller, providing a reference for the health management and maintenance of the compressor.

[0020] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present invention, nor is it used to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0022] Figure 1 This is a flowchart of a method for analyzing the failure life reliability of a compressor impeller provided by an embodiment of the present invention;

[0023] Figure 2 This is a flowchart of a method for analyzing the failure life reliability of a compressor impeller provided by an embodiment of the present invention;

[0024] Figure 3 This is a flowchart of a method for analyzing the failure life reliability of a compressor impeller provided by an embodiment of the present invention;

[0025] Figure 4 This is a schematic structural diagram of a compressor impeller fault life reliability analysis device provided by an embodiment of the present invention;

[0026] Figure 5 A schematic structural diagram of an electronic device 10 that can be used to implement the embodiments of the present invention is shown. Specific embodiments

[0027] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0028] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily need to be used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present invention described here can be implemented in an order different from those illustrated or described here. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0029] Figure 1 This is a flowchart of a method for analyzing the reliability of the fault life of a compressor impeller provided by an embodiment of the present invention. This embodiment is applicable to establishing a reliability model for the service life of the compressor impeller of a gas compression station in a natural gas pipeline and specifically analyzing the life of the compressor impeller of the gas compression station. This method can be executed by a compressor impeller fault life reliability analysis device, which can be implemented in the form of hardware and / or software, and the compressor impeller fault life reliability analysis device can be configured in an electronic device. As Figure 1 shown, the method includes:

[0030] S110. Collect three-dimensional point cloud data of the target compressor, perform three-dimensional modeling on the target compressor according to the three-dimensional point cloud data, and determine the three-dimensional model of the compressor.

[0031] Among them, the target compressor can be any type of compressor that pressurizes natural gas through the rotation of an impeller in a natural gas pipeline network. Optionally, the target compressor can be a compressor that is operating in a natural gas pipeline network.

[0032] Among them, the three-dimensional point cloud data can be a data set composed of points in a three-dimensional space. It should be noted that the three-dimensional point cloud data is composed of a large number of discrete points in the three-dimensional space, and each point in the three-dimensional point cloud data has corresponding three-dimensional coordinates in the three-dimensional space.

[0033] Optionally, laser scanning technology is used to perform laser scanning and mapping on the target compressor to obtain the surface point cloud of the target compressor and the compressor impeller, and the three-dimensional point cloud data of the target compressor is obtained.

[0034] Among them, the compressor three-dimensional model can be the three-dimensional model corresponding to the target compressor. The compressor three-dimensional model includes the compressor flow passage, the integral impeller, the first-stage impeller flow passage, and the structural model corresponding to the target compressor, and can also include the centrifugal compressor impeller model corresponding to the centrifugal compressor impeller. Optionally, after obtaining the three-dimensional point cloud data of the target compressor, the operation data of the target compressor is also obtained, and for the target compressor, three-dimensional modeling software is used to establish the compressor flow passage, the integral impeller, the first-stage impeller flow passage, and the structural model. Exemplarily, the target compressor can be a centrifugal compressor: PCL802 compressor and PCL803 compressor; the centrifugal compressor impeller modeling can select a 1:1 ratio of the PCL8L centrifugal compressor impeller to establish the model, and during the modeling process, the positioning groove and positioning pin at the top of the wheel disc are not considered.

[0035] Optionally, after establishing the compressor three-dimensional model, through Geomagic design X and Spaceclaim software, the compressor fluid domain model and the solid domain model of the compressor three-dimensional model are subjected to detailed optimization processing in combination with the operation data of the target compressor, and the processed compressor three-dimensional model is obtained. Among them, the fluid domain model of the compressor three-dimensional model can be the air flow passage model of the compressor, and the fluid domain model is used to analyze the air flow movement of the target compressor; the solid domain model can be the metal shell model of the compressor, and the solid domain model is used to analyze the structural strength of the target compressor.

[0036] Optionally, after obtaining the three-dimensional model of the compressor, use Fluent software to mesh the fluid domain model of the compressor three-dimensional model, set the initial and boundary conditions, perform simulation calculations by presetting multiple compressor operating conditions, select the inlet pressure, outlet temperature, and efficiency to plot the performance curve, obtain the performance curves corresponding to the inlet pressure, outlet temperature, and efficiency, compare the performance curves with the actual operating data of the target compressor, analyze whether the data patterns of the performance curves and the actual operating data match, and compare the error values between the performance curves and the actual operating data of the target compressor. If the data patterns of the performance curves and the actual operating data match and the error values between the performance curves and the actual operating data of the target compressor are within the preset error range, it is considered that the compressor three-dimensional model is feasible; if the data patterns of the performance curves and the actual operating data do not match or the error values between the performance curves and the actual operating data of the target compressor are not within the preset error range, the compressor three-dimensional model needs to be optimized until the compressor three-dimensional model is feasible.

[0037] Specifically, determine the target compressor in the natural gas pipeline network, collect the three-dimensional point cloud data of the target compressor through laser scanning technology, perform three-dimensional modeling for the target compressor based on the three-dimensional point cloud data, and determine the three-dimensional model of the compressor.

[0038] S120. Conduct particle erosion simulation and compressor crack propagation simulation on the three-dimensional model of the compressor to determine the erosion reliability model.

[0039] Among them, the particle erosion simulation can be to simulate the movement of particles in the fluid and the process of the compressor impeller being eroded by the impact of particles on the surface of the compressor impeller. It should be noted that during the rotation of the compressor impeller, different particles in the air will cause the problem of compressor impeller erosion. Therefore, when judging the reliability of the compressor impeller, it is necessary to conduct particle erosion simulation on the compressor impeller.

[0040] Optionally, when conducting particle erosion simulation on the compressor impeller, the relationship between the particle erosion rate of the compressor impeller and the particle variables can be obtained by changing particle variables such as particle size, concentration, density, and impeller speed.

[0041] Among them, the compressor crack propagation simulation can be to simulate the process of crack propagation of the compressor impeller due to particle erosion during the movement of the compressor impeller. It should be noted that during the use of the compressor impeller, cracks will occur under pressure, and particle erosion will cause crack propagation, ultimately resulting in damage to the compressor impeller until it cannot be used. Therefore, when judging the reliability of the compressor impeller, it is necessary to conduct compressor crack propagation simulation.

[0042] Among them, the erosion reliability model can be a model for identifying the failure life reliability of a compressor impeller under particle erosion. The erosion life of the compressor impeller can be identified through the erosion reliability model. Exemplarily, the erosion reliability model can obtain that under the current operating conditions of the target compressor, after running for 1 year, erosion will cause damage to the blades of the compressor impeller, resulting in the inability of the target compressor to operate normally.

[0043] Specifically, perform particle erosion simulation and compressor crack propagation simulation on the three-dimensional model of the compressor, and establish an erosion reliability model based on the simulation results of the particle erosion simulation and the simulation results of the compressor crack propagation simulation.

[0044] S130. Perform impeller fatigue simulation on the three-dimensional model of the compressor to determine the fatigue reliability model.

[0045] Among them, the impeller fatigue simulation can be a process of simulating that under alternating stress, microscopic cracks gradually occur and expand in the compressor impeller, eventually leading to macroscopic cracks or fractures. Optionally, when performing impeller fatigue simulation on the three-dimensional model of the compressor, it can be simulated through the preset operating conditions of the compressor. During the simulation process, individual simulations are performed for each compressor operating condition to achieve impeller fatigue simulation.

[0046] Optionally, the compressor operating conditions can be the condition parameters preset for simulating the operating conditions of the target compressor. It should be noted that in the embodiments of the present invention, corresponding operating parameters are preset for each compressor operating condition. When simulating the operation, the compressor operating conditions can be directly selected to simulate the operating process of the target compressor. Among them, the operating parameters of the compressor operating conditions include compressor speed, density, particle concentration, particle size, crack depth, inlet pressure, and outlet pressure. Exemplarily, when performing particle erosion simulation, the selected compressor operating conditions can be to control the particle variables and select the compressor operating conditions that change the particle size, concentration, density, and impeller speed for simulation; when performing impeller fatigue simulation, the compressor operating conditions that change the compressor speed, inlet pressure, and outlet pressure can be selected for simulation.

[0047] Among them, the fatigue reliability model can be a model for identifying the failure life reliability of the compressor impeller caused by fatigue damage. The fatigue life of the compressor impeller during operation can be identified through the fatigue reliability model. Exemplarily, the fatigue reliability model can obtain that under the current operating conditions of the target compressor, when the impeller cycle reaches 20 million times, fatigue of the compressor impeller will cause damage to the blade joints, resulting in the inability of the target compressor to operate normally.

[0048] Specifically, perform impeller fatigue simulation on the three-dimensional model of the compressor, and establish a fatigue reliability model based on the simulation results of the impeller fatigue simulation.

[0049] S140. Establish a reliability model for the compressor impeller based on the erosion reliability model and the fatigue reliability model, and perform a failure life reliability analysis on the target compressor based on the compressor impeller reliability model to determine the impeller failure life reliability of the target compressor.

[0050] Among them, the compressor impeller reliability model can be a life calculation model that comprehensively considers the effects of erosion and fatigue of the compressor impeller on the life of the compressor impeller. It should be noted that the compressor impeller reliability model can be a model comprehensively established by the erosion reliability model and the fatigue reliability model.

[0051] Among them, the impeller failure life reliability can be data reflecting the life of the compressor impeller of the target compressor. Exemplarily, the impeller failure life reliability can be that the number of impeller cycles reaches 30 million times. Optionally, after obtaining the compressor impeller reliability model, perform a life reliability analysis on the compressor impeller through the compressor impeller reliability model, and calculate through the compressor impeller reliability model by selecting the inlet pressure, temperature, and rotational speed of the target compressor to obtain the impeller failure life reliability output by the compressor impeller reliability model.

[0052] Specifically, establish a compressor impeller reliability model based on the erosion reliability model and the fatigue reliability model, perform a failure life reliability analysis on the target compressor based on the compressor impeller reliability model, and determine the impeller failure life reliability of the target compressor.

[0053] The technical solution of the embodiment of the present invention is to collect the three-dimensional point cloud data of the target compressor, perform three-dimensional modeling on the target compressor according to the three-dimensional point cloud data to determine the three-dimensional model of the compressor, and improve the efficiency and accuracy of simulation through high-precision three-dimensional model simulation; perform particle erosion simulation and compressor crack propagation simulation on the three-dimensional model of the compressor to determine the erosion reliability model. By performing erosion simulation on the compressor impeller, the erosion process can be effectively simulated to obtain the erosion reliability model. Through the erosion reliability model, the impact of erosion on the life of the compressor impeller can be determined, and the accuracy of the life analysis of the compressor impeller can be improved; perform impeller fatigue simulation on the three-dimensional model of the compressor to determine the fatigue reliability model. By performing fatigue simulation on the compressor impeller, the fatigue reliability of the compressor impeller can be accurately determined, and further improve the accuracy of the life analysis of the compressor impeller. Establish a compressor impeller reliability model according to the erosion reliability model and the fatigue reliability model, and perform failure life reliability analysis on the target compressor based on the compressor impeller reliability model to determine the impeller failure life reliability of the target compressor. By comprehensively integrating the fatigue reliability model and the erosion reliability model, a compressor impeller reliability model is obtained, which can effectively perform life analysis on the compressor impeller, comprehensively analyze the failure life of the compressor impeller, solve the technical problem of being unable to accurately determine the reliability of the compressor impeller in the gas compression station of the natural gas pipeline network, and can accurately predict the reliability of the compressor impeller, providing a reference for the health management and maintenance of the compressor.

[0054] Figure 2 FIG. is a flowchart of a method for analyzing the failure life reliability of a compressor impeller provided by an embodiment of the present invention. The relationship between this embodiment and the above embodiment is that it specifically introduces the specific methods of performing particle erosion simulation and compressor crack propagation simulation through the three-dimensional model of the compressor. As Figure 2 shown, the method includes:

[0055] S210. Collect the three-dimensional point cloud data of the target compressor, perform three-dimensional modeling on the target compressor according to the three-dimensional point cloud data, and determine the three-dimensional model of the compressor.

[0056] S220. Perform particle erosion simulation on the three-dimensional model of the compressor to determine the erosion rate sample library.

[0057] Among them, the erosion rate sample library can be a sample database of the relationship between particles and erosion rate under different preset operating conditions of the compressor.

[0058] Optionally, when performing particle erosion simulation, select the discrete phase model and the random trajectory model to conduct the particle erosion simulation. Under the same rotational speed and density of the compressor impeller, select different preset compressor operating conditions with different particle concentrations and particle sizes to perform the particle erosion simulation, and obtain the peak erosion rate corresponding to each preset compressor operating condition. Exemplarily, Table 1 discloses a partial sample library of erosion rates, and the partial sample library of erosion rates is shown in Table 1:

[0059] Table 1 Partial Sample Library of Erosion Rates

[0060]

[0061] S230. For each preset compressor operating condition, perform crack propagation simulation on the three-dimensional model of the compressor through fluid-structure interaction technology to determine the maximum equivalent stress and the maximum deformation at the crack.

[0062] Among them, fluid-structure interaction technology (Fluid-Structure Interaction, FSI) can be used to solve multi-physics field coupling problems involving the interaction between fluids and solids.

[0063] Optionally, perform crack propagation simulation through fluid-structure interaction technology under different preset compressor operating conditions as follows. Select compressor operating conditions with different compressor rotational speeds and crack depths through fluid-structure interaction technology for finite element simulation analysis and calculation to achieve crack propagation simulation of the compressor three-dimensional model.

[0064] Among them, the maximum equivalent stress can be the stress at the crack of the compressor impeller. The maximum deformation at the crack can be the maximum deformation amount occurring at the crack of the compressor impeller.

[0065] Exemplarily, since the compressor impeller is subjected to the combined action of centrifugal load and aerodynamic load during operation, considering the coupling state of the two loads, the maximum deformation of the impeller occurs at the top of the blade. Due to the fixed constraint set on the impeller main shaft, from the top to the root of the blade, the degree of deformation gradually decreases. During the process from the center of the impeller main shaft to the outer edge, the overall deformation gradually increases. And due to the fixed constraint applied at the main shaft hole, the deformation at the main shaft hole is zero. The equivalent stress on the overall surface of the impeller reaches the minimum at the edge of the disk, and gradually increases from the top of the blade to the root of the blade. Stress concentration occurs at the crack, and the stress at the crack is the maximum equivalent stress. Moreover, the maximum stress of the impeller occurs at the tip position on the side of the crack close to the pressure surface. When the rotational speed of the compressor operating condition is 7260 rpm and the crack depth is 0.5 mm, the maximum deformation at the crack is 0.0258 mm, and the maximum equivalent stress is 878.86 MPa. When the maximum equivalent stress at the crack is greater than the yield strength of 1182 MPa, the impeller structure will enter the plastic state, and the crack will rapidly expand, seriously affecting the working performance of the compressor impeller. Exemplarily, in the embodiment of the present invention, under different rotational speed conditions such as 5660 rpm, 6460 rpm, 7260 rpm, 8060 rpm, 8860 rpm, and 9660 rpm of the compressor operating condition, crack models of 0.5 mm, 1.0 mm, 1.5 mm, and 2.0 mm are respectively constructed as the preset compressor operating conditions corresponding to the crack propagation simulation, and fluid-structure interaction finite element simulation analysis is carried out. The maximum deformation and the maximum equivalent stress at the crack are simulated and calculated to obtain the maximum equivalent stress and the maximum deformation at the crack under each preset compressor operating condition, and the fluid-structure interaction calculation results under different rotational speeds and cracks are formed into Table 2 as shown below:

[0066] Table 2 Fluid-Structure Interaction Calculation Results under Different Rotational Speeds and Cracks

[0067]

[0068] Specifically, for each preset compressor operating condition, through the fluid-structure interaction technology for the crack propagation simulation of the compressor three-dimensional model, fluid-structure interaction finite element simulation analysis is carried out, and the maximum deformation and the maximum equivalent stress at the crack are simulated and calculated to determine the maximum equivalent stress and the maximum deformation at the crack under each preset compressor operating condition.

[0069] Optionally, in another optional embodiment of the present invention, the fluid-structure interaction technology for the crack propagation simulation of the compressor three-dimensional model to determine the maximum equivalent stress and the maximum deformation at the crack includes:

[0070] Through the fluid-structure interaction technology, according to the preset compressor operating condition, the crack propagation simulation of the compressor three-dimensional model is carried out to construct the total deformation nephogram and the overall stress distribution nephogram of the compressor three-dimensional model;

[0071] Determine the maximum equivalent stress and the maximum deformation at the crack location based on the total deformation contour map and the overall stress distribution contour map of the compressor three-dimensional model.

[0072] Among them, the total deformation contour map can be used to display the deformation amounts of various points of the compressor impeller mechanism of the compressor three-dimensional model. It should be noted that the total deformation contour map can show the propagation direction and speed of the crack; for example, the total deformation contour map can represent the deformation magnitude through colors or pixel values.

[0073] Among them, the overall stress distribution contour map can be used to display the stress distribution of the compressor impeller of the compressor three-dimensional model. It should be noted that the overall stress distribution contour map can show the starting point of crack propagation. Generally, crack propagation is determined in the high-stress region of the overall stress distribution contour map.

[0074] Specifically, for each preset compressor operating condition, through the fluid-structure interaction technology, simulate the crack propagation of the compressor three-dimensional model according to the preset compressor operating condition, construct the total deformation contour map and the overall stress distribution contour map of the compressor three-dimensional model, identify the maximum deformation at the crack location through the total deformation contour map, and determine the maximum equivalent stress at the crack location through the overall stress distribution contour map.

[0075] S240. Construct the erosion reliability model based on the erosion rate sample library, the maximum equivalent stress corresponding to each preset compressor operating condition, and the maximum deformation at the crack location.

[0076] Specifically, after obtaining the maximum equivalent stress corresponding to the preset compressor operating condition and the maximum deformation at the crack location, construct the erosion reliability model based on the erosion rate sample library, the maximum equivalent stress corresponding to each preset compressor operating condition, and the maximum deformation at the crack location.

[0077] Optionally, in another alternative embodiment of the present invention, the constructing the erosion reliability model based on the erosion rate sample library, the maximum equivalent stress corresponding to each preset compressor operating condition, and the maximum deformation at the crack location includes:

[0078] Determine the maximum allowable erosion crack depth based on the maximum equivalent stress corresponding to each preset compressor operating condition and the maximum deformation at the crack location;

[0079] Conduct a finite element simulation test through a preset impeller erosion function based on the erosion rate sample library to construct a prediction surrogate model for the maximum impeller erosion rate;

[0080] Determine the structural reliability function of impeller erosion failure based on the maximum allowable erosion crack depth and the prediction surrogate model;

[0081] The structural reliability function is simulated by the Monte Carlo simulation method to determine the erosion reliability model.

[0082] Among them, the maximum allowable erosion crack depth can be the erosion crack depth that the compressor impeller can allow; it should be noted that the crack of the compressor impeller does not affect the normal operation of the compressor impeller, and the crack of the compressor impeller expands under the influence of erosion, increasing the crack depth. When the maximum allowable erosion crack depth is reached, the crack does not affect the normal operation of the compressor impeller, but when the crack depth exceeds the maximum allowable erosion crack depth, the compressor impeller cannot operate normally.

[0083] Among them, the preset impeller erosion function can be a Gaussian process regression with a quadratic rational kernel function.

[0084] Among them, the prediction surrogate model of the maximum impeller erosion rate can be used to predict the maximum erosion rate during the operation of the compressor impeller.

[0085] Among them, the structural reliability function of impeller erosion failure can be used to predict the operating life of the compressor impeller when it cannot operate normally due to erosion. It should be noted that the structural reliability function of impeller erosion failure is obtained based on the finite element simulation of the preset compressor operating conditions.

[0086] Optionally, based on the maximum equivalent stress and the maximum deformation at the crack corresponding to each preset compressor operating condition, the maximum allowable erosion crack depth of the compressor impeller is determined, a finite element simulation test plan for impeller erosion is formulated, and a prediction surrogate model of the maximum impeller erosion rate is constructed using a Gaussian process regression with a quadratic rational kernel function. Based on the maximum allowable erosion crack depth and the prediction surrogate model, the structural reliability function of impeller erosion failure is determined, and the structural reliability function is simulated by the Monte Carlo simulation method to determine the erosion reliability model.

[0087] Optionally, after obtaining the erosion reliability model, a prediction program for the life of the compressor impeller can be built based on the erosion reliability model, and the prediction program can be adjusted and optimized according to the on-site service environment of the target compressor to improve the engineering significance of the prediction program.

[0088] S250. Conduct impeller fatigue simulation on the three-dimensional model of the compressor to determine the fatigue reliability model.

[0089] S260. Establish a compressor impeller reliability model based on the erosion reliability model and the fatigue reliability model, and conduct a failure life reliability analysis on the target compressor based on the compressor impeller reliability model to determine the impeller failure life reliability of the target compressor.

[0090] The technical solution of the embodiment of the present invention is to collect the three-dimensional point cloud data of the target compressor, perform three-dimensional modeling on the target compressor according to the three-dimensional point cloud data to determine the three-dimensional compressor model, and improve the efficiency and accuracy of simulation through high-precision three-dimensional model simulation; perform particle erosion simulation and compressor crack propagation simulation on the three-dimensional compressor model to determine the erosion reliability model. By performing erosion simulation on the compressor impeller, the erosion process can be effectively simulated to obtain the erosion reliability model. Through the erosion reliability model, the impact of erosion on the life of the compressor impeller can be determined, and the accuracy of the life analysis of the compressor impeller can be improved; perform impeller fatigue simulation on the three-dimensional compressor model to determine the fatigue reliability model. By performing fatigue simulation on the compressor impeller, the fatigue reliability of the compressor impeller can be accurately determined, and further improve the accuracy of the life analysis of the compressor impeller. Establish a compressor impeller reliability model according to the erosion reliability model and the fatigue reliability model, and perform failure life reliability analysis on the target compressor based on the compressor impeller reliability model to determine the impeller failure life reliability of the target compressor. By comprehensively integrating the fatigue reliability model and the erosion reliability model, a compressor impeller reliability model is obtained, which can effectively perform life analysis on the compressor impeller, comprehensively analyze the failure life of the compressor impeller, solve the technical problem of being unable to accurately determine the reliability of the compressor impeller in the gas compression station of the natural gas pipeline network, accurately predict the reliability of the compressor impeller, and provide a reference for the health management and maintenance of the compressor.

[0091] Figure 3 The figure is a flowchart of a method for analyzing the failure life reliability of a compressor impeller provided by an embodiment of the present invention. The relationship between this embodiment and the above embodiment is a specific introduction to the specific method of performing impeller fatigue simulation through a three-dimensional compressor model. As Figure 3 shown, the method includes:

[0092] S310. Collect the three-dimensional point cloud data of the target compressor, perform three-dimensional modeling on the target compressor according to the three-dimensional point cloud data, and determine the three-dimensional compressor model.

[0093] S320. Perform particle erosion simulation on the three-dimensional compressor model to determine the erosion rate sample library.

[0094] S330. For each preset compressor operating condition, perform crack propagation simulation on the three-dimensional compressor model through fluid-structure interaction technology to determine the maximum equivalent stress and the maximum deformation at the crack.

[0095] S340. Construct the erosion reliability model according to the erosion rate sample library, the maximum equivalent stress corresponding to each preset compressor operating condition, and the maximum deformation at the crack.

[0096] S350. For each preset compressor operating condition, calculate the average stress at the dangerous points of the impeller of the compressor three-dimensional model through fluid-structure interaction technology, and establish an impeller stress sample library.

[0097] Among them, the impeller stress sample library can be a database showing the average stress composition at the dangerous points of the compressor impeller under each preset compressor operating condition. It should be noted that the impeller stress sample library consists of the rotational speed of the compressor impeller and the average stress at the dangerous points of the impeller. Exemplarily, the initial calculation conditions are selected with an inlet pressure of 7.4 MPa and an outlet pressure of 7.8 MPa. Through fluid-structure interaction calculation, the average stress at the dangerous points of the impeller at different rotational speeds can be obtained. Table 3 shows the average stress at the dangerous points of the impeller at different rotational speeds. Table 3 is as follows:

[0098] Table 3 Average impeller stress at different rotational speeds

[0099]

[0100] Optionally, for each preset compressor operating condition, in order to study the influence mechanism of different operating conditions on blade fatigue failure, for the compressor three-dimensional model of the target compressor, determine the position of the highest risk point of compressor impeller fatigue failure of the compressor three-dimensional model, and respectively draw the stress distribution nephograms of the suction surface and pressure surface of the blade without applying aerodynamic load and the stress distribution nephograms of the suction surface and pressure surface of the blade after applying aerodynamic load, so as to identify the combined action of the centrifugal load acting alone and the aerodynamic load after loading. The stress highest points in the compressor impeller all appear at the welded joints of the blade pressure surface with the hub and the shroud. The highest risk point of structural fatigue can be determined as the welded joint of the pressure surface of the blade outlet with the hub. Furthermore, through the finite element static analysis of the fluid-structure interaction technology, calculate the stress at the dangerous points of the impeller of the compressor three-dimensional model, obtain the average stress at the stress concentration area of the impeller, and establish an impeller stress sample library.

[0101] S360. For each of the preset compressor operating conditions, perform fatigue crack growth simulation on the compressor three-dimensional model through the fluid-structure interaction technology, and establish a crack growth sample library.

[0102] Among them, the crack growth sample library can be the expansion values of different fatigue cracks under different preset compressor operating conditions.

[0103] Specifically, for each preset compressor operating condition, perform fatigue crack growth simulation on the compressor three-dimensional model through the fluid-structure interaction technology, analyze the fatigue crack growth, and establish a crack growth sample library.

[0104] S370. Perform impeller fatigue calculation according to the impeller stress sample library and the crack growth sample library, and determine the fatigue reliability model.

[0105] Specifically, for the impeller stress sample library and the crack propagation sample library of the compressor three-dimensional model, impeller fatigue calculation is performed to obtain the fatigue reliability model of the compressor impeller.

[0106] Optionally, in another alternative embodiment of the present invention, the impeller fatigue calculation is performed according to the impeller stress sample library and the crack propagation sample library to determine the fatigue reliability model, including:

[0107] Establish a first impeller fatigue damage model corresponding to the compressor three-dimensional model according to the crack propagation sample library through a preset fatigue loss model;

[0108] Perform stress amplitude correction on the impeller fatigue damage model through a preset fatigue correction method to determine the second impeller fatigue damage model;

[0109] Perform impeller stress life conversion through the impeller stress sample library and the second impeller fatigue damage model to determine at least one fatigue strength factor;

[0110] Perform random simulation according to the second impeller fatigue damage model and each fatigue strength factor through the Monte Carlo simulation method to determine the fatigue reliability model.

[0111] Among them, the preset fatigue loss model can be pre-set to calculate the relationship between the stress amplitude at the dangerous point of the compressor impeller and the fatigue life. Exemplarily, the Basquin formula is used as the preset fatigue loss model to establish the first impeller fatigue damage model.

[0112] Among them, the first impeller fatigue damage model can be used to describe the relationship between the stress amplitude at the dangerous point of the compressor impeller and the fatigue life.

[0113] Optionally, a first impeller fatigue damage model corresponding to the compressor three-dimensional model is established according to the crack propagation sample library through a preset fatigue loss model, and the first impeller fatigue damage model is represented by the following formula:

[0114] σ = σ′ f (2N) b

[0115] Among them, N is the number of cycles; σ is the stress amplitude; σ′ f is the fatigue strength coefficient; b is the fatigue strength factor.

[0116] Among them, the second impeller fatigue damage model can be used to describe the relationship between the stress amplitude at the dangerous point of the compressor impeller and the fatigue life under infinite number of cycles.

[0117] Among them, the preset fatigue correction method can be to calculate the impeller fatigue limit of the compressor impeller. Exemplarily, the preset fatigue correction method can be to select the Soderberg line, and the formula for selecting the Soderberg line can be expressed as the following formula:

[0118] σ a = σ -1 (1 - σ m / σ γ )

[0119] Among them, σ α is the stress amplitude borne by the impeller under infinite cyclic times; σ m is the mean stress of the dangerous point of the impeller; σ -1 is the fatigue strength under symmetric cyclic stress; σ γ is the material yield limit.

[0120] Specifically, the stress amplitude of the impeller fatigue damage model is corrected through the preset fatigue correction method to determine the second impeller fatigue damage model.

[0121] Optionally, after obtaining the second impeller fatigue damage model, the impeller stress sample library is calculated with the second impeller fatigue damage model to determine the fatigue strength factor corresponding to each sample in the impeller stress sample library, and a set of fatigue strength factors is obtained.

[0122] Optionally, according to the second impeller fatigue damage model and each fatigue strength factor, a random simulation is carried out through the Monte Carlo simulation method to determine the fatigue reliability model.

[0123] Optionally, in another optional embodiment of the present invention, the step of carrying out a random simulation according to the second impeller fatigue damage model and each of the fatigue strength factors through the Monte Carlo simulation method to determine the fatigue reliability model includes:

[0124] Calculating the probability distribution of the impeller fatigue life according to the second impeller fatigue damage model and each fatigue strength factor through a preset probability density function to determine the impeller reliability evaluation model; carrying out random sampling on the impeller reliability evaluation model through the Monte Carlo simulation method to determine the fatigue reliability model.

[0125] Among them, the preset probability density function can be the probability density function of the three-parameter Weibull distribution.

[0126] Among them, the impeller reliability evaluation model can be a probability model for calculating the operation reliability of the compressor impeller.

[0127] Optionally, the randomness of the fatigue strength factor is regarded as a factor causing the randomness of the impeller fatigue life, that is, an uncertain parameter. By fitting the probability distribution of the uncertain parameter, the probability distribution form of the impeller fatigue life is further fitted. Since the fatigue strength factors are all negative values, for the convenience of calculation, the opposite numbers of the fatigue strength factors are taken, and the probability density function of the three-parameter Weibull distribution is selected as the probability distribution function for probability distribution calculation to obtain the impeller reliability evaluation model. Exemplarily, the impeller reliability evaluation model can be expressed as:

[0128]

[0129] where w is the opposite number of the fatigue strength factor.

[0130] Optionally, the Monte Carlo simulation method is used to perform random sampling on the impeller reliability evaluation model to determine the fatigue reliability model. Exemplarily, the process of performing random sampling on the impeller reliability evaluation model by the Monte Carlo simulation method is as follows: Given the probability density function of the three-parameter Weibull distribution, the calculation formula for the random number x of the three-parameter Weibull distribution obtained by its inverse transformation is:

[0131] x = β[-ln(1 - r)] 1 / α + γ

[0132] Or,

[0133] x = β[-ln(r)] 1 / α + γ

[0134] where α is the shape parameter; β is the scale parameter; γ is the location parameter; r is a uniformly distributed random number in the interval [0, 1].

[0135] Let x ~ w(1.0019, 536.88, -0.9901), and the calculation formula for the random number of the impeller fatigue life N can be obtained as:

[0136]

[0137] Or,

[0138]

[0139] Perform random sampling on the impeller fatigue life under different stress amplitudes. Considering the calculation efficiency and calculation accuracy, the number of fatigue life sampling points corresponding to each stress amplitude is n = 1000. The impeller reliability evaluation model of the impeller fatigue life is f(N). Then the expression formula for the failure probability P(N ≤ N0) when the impeller runs to the cycle number N0 is:

[0140]

[0141] Among them, F(N0) is the cumulative distribution function.

[0142] Then, the expression formula of the fatigue reliability model R(N0) when the impeller runs to the cycle number N0 is:

[0143]

[0144] Specifically, the fatigue reliability model is determined by randomly sampling the impeller reliability evaluation model through the Monte Carlo simulation method.

[0145] S380. Establish a compressor impeller reliability model according to the erosion reliability model and the fatigue reliability model, perform a failure life reliability analysis on the target compressor based on the compressor impeller reliability model, and determine the impeller failure life reliability of the target compressor.

[0146] Optionally, a compressor impeller reliability model is established according to the erosion reliability model and the fatigue reliability model. Exemplarily, the erosion effect on the compressor impeller of the target compressor will damage the surface of the compressor impeller, resulting in micro-grooves. At the same time, under the action of cyclic loads, stress concentration will occur in these small grooves, accelerating the formation and expansion of fatigue cracks, thereby causing damage. The erosion loss effect of the impeller will reduce the fatigue strength of the material, affect the first impeller fatigue damage model (the degree of influence is related to the degree of damage), thereby reducing its fatigue life, and at the same time, the fatigue life reliability will also be greatly reduced. Furthermore, select the fatigue damage of the target compressor at time T as ε1, the erosion damage as ε2, and the comprehensive damage as ε3. According to the Miner linear damage mechanism, the additivity of damage can be known, that is:

[0147] ε3 = ε1 + ε2

[0148] Denote the fatigue reliability of the target compressor at time T as R1, the erosion reliability as R2, and the comprehensive reliability as R3. Then the comprehensive reliability R3 can be expressed as follows:

[0149] R3 = f(R1, R2)

[0150] The reliability R at any time has a direct relationship with the damage at that time. Furthermore, calculate R3, and R3 can be expressed as follows:

[0151] R3 = α1R1 + α2R2

[0152] Among them, α1 and α2 are respectively related to fatigue and erosion intensity, and α1 + α2 ≤ 1. In the actual production process of the target compressor, erosion does not always occur in the worst case. Considering the actual situation of the target compressor, it is advisable to take: α1 = 0.8, α2 = 0.2; the established compressor impeller reliability model can be expressed as:

[0153] $R_{comprehensive}=0.8R_{fatigue}+0.2R_{erosion}$

[0154] Among them, $R_{comprehensive}$ is $R3$; $R_{fatigue}$ is $R1$; $R_{erosion}$ is $R2$.

[0155] In the technical solution of the embodiment of the present invention, three-dimensional point cloud data of a target compressor is collected, and three-dimensional modeling of the target compressor is performed according to the three-dimensional point cloud data to determine a three-dimensional model of the compressor. Through high-precision three-dimensional model simulation, the efficiency and accuracy of the simulation are improved; particle erosion simulation and compressor crack propagation simulation are performed on the three-dimensional model of the compressor to determine an erosion reliability model. By performing erosion simulation on the compressor impeller, the erosion process can be effectively simulated to obtain an erosion reliability model. Through the erosion reliability model, the impact of erosion on the life of the compressor impeller can be determined, and the accuracy of the life analysis of the compressor impeller is improved; impeller fatigue simulation is performed on the three-dimensional model of the compressor to determine a fatigue reliability model. By performing fatigue simulation on the compressor impeller, the fatigue reliability of the compressor impeller can be accurately determined, and further improve the accuracy of the life analysis of the compressor impeller. According to the erosion reliability model and the fatigue reliability model, a reliability model of the compressor impeller is established, and based on the reliability model of the compressor impeller, a failure life reliability analysis of the target compressor is performed to determine the impeller failure life reliability of the target compressor. By comprehensively integrating the fatigue reliability model and the erosion reliability model, a reliability model of the compressor impeller is obtained, and thus the life analysis of the compressor impeller can be effectively carried out, and the failure life of the compressor impeller can be comprehensively analyzed, solving the technical problem of being unable to accurately determine the reliability of the compressor impeller in the gas compression station of the natural gas pipeline network, and being able to accurately predict the reliability of the compressor impeller, providing a reference for the health management and maintenance of the compressor.

[0156] Figure 4 It is a schematic structural diagram of a device for analyzing the failure life reliability of a compressor impeller provided by an embodiment of the present invention. As Figure 4 shown, the device includes: a three-dimensional modeling module 410, an erosion simulation module 420, a fatigue simulation module 430, and a reliability analysis module 440; among them,

[0157] The three-dimensional modeling module 410 is used to collect three-dimensional point cloud data of a target compressor, perform three-dimensional modeling on the target compressor according to the three-dimensional point cloud data, and determine a three-dimensional model of the compressor;

[0158] The erosion simulation module 420 is used to perform particle erosion simulation and compressor crack propagation simulation on the three-dimensional model of the compressor to determine an erosion reliability model;

[0159] The fatigue simulation module 430 is used to perform impeller fatigue simulation on the three-dimensional model of the compressor to determine a fatigue reliability model;

[0160] A reliability analysis module 440 is configured to establish a compressor impeller reliability model based on the erosion reliability model and the fatigue reliability model, perform a failure life reliability analysis on the target compressor based on the compressor impeller reliability model, and determine the impeller failure life reliability of the target compressor.

[0161] In the technical solution of the embodiment of the present invention, three-dimensional point cloud data of a target compressor is collected, three-dimensional modeling of the target compressor is performed according to the three-dimensional point cloud data to determine a three-dimensional model of the compressor, and through high-precision three-dimensional model simulation, the efficiency and accuracy of the simulation are improved; particle erosion simulation and compressor crack propagation simulation are performed on the three-dimensional model of the compressor to determine an erosion reliability model. By performing erosion simulation on the compressor impeller, the erosion process can be effectively simulated to obtain the erosion reliability model. Through the erosion reliability model, the influence of erosion on the life of the compressor impeller can be determined, and the accuracy of the life analysis of the compressor impeller is improved; impeller fatigue simulation is performed on the three-dimensional model of the compressor to determine a fatigue reliability model. By performing fatigue simulation on the compressor impeller, the fatigue reliability of the compressor impeller can be accurately determined, and further the accuracy of the life analysis of the compressor impeller is improved. A compressor impeller reliability model is established based on the erosion reliability model and the fatigue reliability model, and a failure life reliability analysis is performed on the target compressor based on the compressor impeller reliability model to determine the impeller failure life reliability of the target compressor. By comprehensively integrating the fatigue reliability model and the erosion reliability model, a compressor impeller reliability model is obtained, which can effectively perform life analysis on the compressor impeller, comprehensively analyze the failure life of the compressor impeller, solve the technical problem of being unable to accurately determine the reliability of the compressor impeller in the gas compression station of the natural gas pipeline network, accurately predict the reliability of the compressor impeller, and provide a reference for the health management and maintenance of the compressor.

[0162] Optionally, the erosion simulation module 420 is specifically configured to:

[0163] Perform particle erosion simulation on the three-dimensional model of the compressor to determine an erosion rate sample library;

[0164] For each preset compressor operating condition, perform crack propagation simulation on the three-dimensional model of the compressor through fluid-structure interaction technology to determine the maximum equivalent stress and the maximum deformation at the crack;

[0165] Construct the erosion reliability model according to the erosion rate sample library, the maximum equivalent stress corresponding to each preset compressor operating condition, and the maximum deformation at the crack.

[0166] Optionally, the erosion simulation module 420 is further specifically configured to:

[0167] Through the fluid-structure interaction technology, simulate the crack propagation of the compressor three-dimensional model according to the preset compressor operating conditions, and construct the total deformation nephogram and the overall stress distribution nephogram of the compressor three-dimensional model;

[0168] Determine the maximum equivalent stress and the maximum deformation at the crack through the total deformation nephogram and the overall stress distribution nephogram of the compressor three-dimensional model.

[0169] Optionally, the erosion simulation module 420 is further specifically configured to:

[0170] Determine the maximum allowable erosion crack depth according to the maximum equivalent stress and the maximum deformation at the crack corresponding to each preset compressor operating condition;

[0171] Conduct a finite element simulation test through a preset impeller erosion function according to the erosion rate sample library, and construct a prediction surrogate model for the maximum impeller erosion rate;

[0172] Determine the structural reliability function of impeller erosion failure according to the maximum allowable erosion crack depth and the prediction surrogate model;

[0173] Simulate the structural reliability function through the Monte Carlo simulation method to determine the erosion reliability model.

[0174] Optionally, the fatigue simulation module 430 is further specifically configured to:

[0175] For each preset compressor operating condition, calculate the average stress at the dangerous point of the impeller of the compressor three-dimensional model through the fluid-structure interaction technology, and establish an impeller stress sample library;

[0176] For each preset compressor operating condition, conduct a fatigue crack propagation simulation on the compressor three-dimensional model through the fluid-structure interaction technology, and establish a crack propagation sample library;

[0177] Conduct impeller fatigue calculation according to the impeller stress sample library and the crack propagation sample library to determine the fatigue reliability model.

[0178] Optionally, the fatigue simulation module 430 is further specifically configured to:

[0179] Establish a first impeller fatigue damage model corresponding to the compressor three-dimensional model through a preset fatigue loss model according to the crack propagation sample library;

[0180] Perform stress amplitude correction on the impeller fatigue damage model through a preset fatigue correction method to determine the second impeller fatigue damage model;

[0181] Perform impeller stress life conversion through the impeller stress sample library and the second impeller fatigue damage model to determine at least one fatigue strength factor;

[0182] Perform random simulation through the Monte Carlo simulation method according to the second impeller fatigue damage model and each fatigue strength factor to determine the fatigue reliability model.

[0183] Optionally, the fatigue simulation module 430 is further specifically configured to:

[0184] Perform probability distribution calculation of the impeller fatigue life according to the first impeller fatigue damage model and each fatigue strength factor through a preset probability density function to determine the impeller reliability evaluation model;

[0185] Perform random sampling on the impeller reliability evaluation model through the Monte Carlo simulation method to determine the fatigue reliability model.

[0186] The compressor impeller fault life reliability analysis device provided by the embodiments of the present invention can execute the compressor impeller fault life reliability analysis method provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the method.

[0187] Figure 5 The structural schematic diagram of the electronic device 10 that can be used to implement the embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as, laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as, personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their patterns are only examples and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0188] As Figure 5As shown, the electronic device 10 includes at least one processor 11 and a memory communicatively connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc. The memory stores a computer program executable by the at least one processor. The processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 into the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0189] Multiple components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a magnetic disk, an optical disc, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0190] The processor 11 can be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the compressor impeller fault life reliability analysis method.

[0191] In some embodiments, the compressor impeller fault life reliability analysis method can be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the compressor impeller fault life reliability analysis method described above can be executed. Alternatively, in other embodiments, the processor 11 can be configured to execute the compressor impeller fault life reliability analysis method by any other suitable means (e.g., by means of firmware).

[0192] The various embodiments of the systems and techniques described above in this specification can be implemented in digital electronic circuitry, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems-on-chip (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include: being implemented in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be a special-purpose or general-purpose programmable processor that receives data and instructions from, and transmits data and instructions to, a storage system, at least one input device, and at least one output device.

[0193] The computer programs for implementing the methods of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions / operations specified in the flowchart and / or block diagram to be implemented. The computer programs can be executed entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.

[0194] In the context of the present invention, a computer-readable storage medium can be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer-readable storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0195] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and a pointing device (e.g., a mouse or a trackball) through which the user can provide input to the electronic device. Other kinds of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and the input received from the user can be in any form (including acoustic input, voice input, or tactile input).

[0196] The systems and techniques described herein can be implemented in a computing system including backend components (e.g., as a data server), or a computing system including middleware components (e.g., an application server), or a computing system including frontend components (e.g., a user computer having a graphical user interface or a web browser through which the user can interact with an implementation of the systems and techniques described herein), or a computing system including any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected to each other by digital data communication in any form or medium (e.g., a communication network). Examples of communication networks include: local area network (LAN), wide area network (WAN), blockchain network, and the Internet.

[0197] A computing system can include a client and a server. The client and the server are generally far from each other and usually interact through a communication network. The relationship between the client and the server is generated by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or a cloud host, which is a host product in the cloud computing service system, solving the defects of difficult management and weak business scalability existing in traditional physical hosts and VPS services.

[0198] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps recited in the present invention can be executed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved, and no limitation is made herein.

[0199] This embodiment provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, it implements the steps of the compressor impeller fault life reliability analysis method provided in any embodiment of the present invention. The method includes:

[0200] Collect the three-dimensional point cloud data of the target compressor, perform three-dimensional modeling on the target compressor according to the three-dimensional point cloud data, and determine the three-dimensional model of the compressor;

[0201] Perform particle erosion simulation and compressor crack propagation simulation on the three-dimensional model of the compressor to determine the erosion reliability model;

[0202] Perform impeller fatigue simulation on the three-dimensional model of the compressor to determine the fatigue reliability model;

[0203] Establish a compressor impeller reliability model based on the erosion reliability model and the fatigue reliability model, and perform failure life reliability analysis on the target compressor based on the compressor impeller reliability model to determine the impeller failure life reliability of the target compressor.

[0204] The computer storage medium of the embodiments of the present invention can adopt any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to: an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (non-exhaustive list) of the computer-readable storage medium include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, the computer-readable storage medium can be any tangible medium that contains or stores a program, and this program can be used by or in combination with an instruction execution system, apparatus, or device.

[0205] The computer-readable signal medium can include a data signal propagated in a baseband or as part of a carrier wave, in which the computer-readable program code is carried. Such a propagated data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer-readable signal medium can also be any computer-readable medium other than the computer-readable storage medium, and this computer-readable medium can send, propagate, or transmit a program used by or in combination with an instruction execution system, apparatus, or device.

[0206] The program code contained on the computer-readable medium can be transmitted by any appropriate medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0207] Computer program code for performing the operations of the present invention can be written in one or more programming languages or combinations thereof, including object-oriented programming languages such as Java, Smalltalk, C++, and also including conventional procedural programming languages such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, executed as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (e.g., by connecting through the Internet using an Internet service provider).

[0208] Those of ordinary skill in the art should understand that the above-described modules or steps of the present invention can be implemented using a general-purpose computing device. They can be centralized on a single computing device or distributed over a network composed of multiple computing devices. Optionally, they can be implemented using program code executable by a computer device, so that they can be stored in a storage device and executed by the computing device, or they can be separately fabricated into individual integrated circuit modules, or multiple modules or steps among them can be fabricated into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0209] It should be understood that various forms of the processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in the present invention can be executed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved, and this is not limited herein.

[0210] The above specific embodiments do not constitute a limitation on the protection scope of the present invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for analyzing the failure life reliability of a compressor impeller, characterized in that, Including: Collecting three-dimensional point cloud data of a target compressor, performing three-dimensional modeling on the target compressor according to the three-dimensional point cloud data, and determining a three-dimensional model of the compressor; Performing particle erosion simulation and compressor crack propagation simulation on the three-dimensional model of the compressor, and determining an erosion reliability model; Performing impeller fatigue simulation on the three-dimensional model of the compressor, and determining a fatigue reliability model; Establishing a compressor impeller reliability model according to the erosion reliability model and the fatigue reliability model, performing failure life reliability analysis on the target compressor based on the compressor impeller reliability model, and determining the impeller failure life reliability of the target compressor.

2. The method according to claim 1, characterized in that, The performing particle erosion simulation and compressor crack propagation simulation on the three-dimensional model of the compressor, and determining an erosion reliability model includes: Performing particle erosion simulation on the three-dimensional model of the compressor, and determining an erosion rate sample library; For each preset compressor operating condition, performing crack propagation simulation on the three-dimensional model of the compressor through fluid-structure interaction technology, and determining the maximum equivalent stress and the maximum deformation at the crack; Constructing the erosion reliability model according to the erosion rate sample library, the maximum equivalent stress corresponding to each preset compressor operating condition, and the maximum deformation at the crack.

3. The method according to claim 2, wherein The performing crack propagation simulation on the three-dimensional model of the compressor through fluid-structure interaction technology, and determining the maximum equivalent stress and the maximum deformation at the crack includes: Performing crack propagation simulation on the three-dimensional model of the compressor through fluid-structure interaction technology according to the preset compressor operating condition, and constructing a total deformation contour map and an overall stress distribution contour map of the three-dimensional model of the compressor; Determining the maximum equivalent stress and the maximum deformation at the crack through the total deformation contour map and the overall stress distribution contour map of the three-dimensional model of the compressor.

4. The method according to claim 2, characterized in that The constructing the erosion reliability model according to the erosion rate sample library, the maximum equivalent stress corresponding to each preset compressor operating condition, and the maximum deformation at the crack includes: Determining the maximum allowable erosion crack depth according to the maximum equivalent stress and the maximum deformation at the crack corresponding to each preset compressor operating condition; Performing a finite element simulation test according to the erosion rate sample library through a preset impeller erosion function, and constructing a prediction proxy model for the maximum impeller erosion rate; Determining a structural reliability function for impeller erosion failure according to the maximum allowable erosion crack depth and the prediction proxy model; Simulating the structural reliability function through the Monte Carlo simulation method, and determining the erosion reliability model.

5. The method according to claim 1, wherein The performing impeller fatigue simulation on the three-dimensional model of the compressor, and determining a fatigue reliability model includes: For each preset compressor operating condition, calculating the mean stress at the dangerous point of the impeller of the three-dimensional model of the compressor through fluid-structure interaction technology, and establishing an impeller stress sample library; For each preset compressor operating condition, performing fatigue crack propagation simulation on the three-dimensional model of the compressor through the fluid-structure interaction technology, and establishing a crack propagation sample library; Performing impeller fatigue calculation according to the impeller stress sample library and the crack propagation sample library, and determining the fatigue reliability model.

6. The method according to claim 5, wherein Performing impeller fatigue calculation according to the impeller stress sample library and the crack propagation sample library to determine the fatigue reliability model, including: Establishing a first impeller fatigue damage model corresponding to the three-dimensional model of the compressor based on the crack propagation sample library through a preset fatigue loss model; Performing stress amplitude correction on the impeller fatigue damage model through a preset fatigue correction method to determine a second impeller fatigue damage model; Performing impeller stress-life conversion through the impeller stress sample library and the second impeller fatigue damage model to determine at least one fatigue strength factor; Performing random simulation according to the second impeller fatigue damage model and each of the fatigue strength factors through the Monte Carlo simulation method to determine the fatigue reliability model.

7. The method according to claim 6, characterized in that, The performing random simulation according to the second impeller fatigue damage model and each of the fatigue strength factors through the Monte Carlo simulation method to determine the fatigue reliability model includes: Calculating the probability distribution of the impeller fatigue life according to the first impeller fatigue damage model and each of the fatigue strength factors through a preset probability density function to determine an impeller reliability evaluation model; Performing random sampling on the impeller reliability evaluation model through the Monte Carlo simulation method to determine the fatigue reliability model.

8. An analysis device for the failure life reliability of a compressor impeller, characterized in that, Including: A three-dimensional modeling module, configured to collect three-dimensional point cloud data of a target compressor, perform three-dimensional modeling on the target compressor according to the three-dimensional point cloud data, and determine a three-dimensional model of the compressor; An erosion simulation module, configured to perform particle erosion simulation and compressor crack propagation simulation on the three-dimensional model of the compressor to determine an erosion reliability model; A fatigue simulation module, configured to perform impeller fatigue simulation on the three-dimensional model of the compressor to determine a fatigue reliability model; A reliability analysis module, configured to establish a compressor impeller reliability model according to the erosion reliability model and the fatigue reliability model, and perform failure life reliability analysis on the target compressor based on the compressor impeller reliability model to determine the impeller failure life reliability of the target compressor.

9. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the compressor impeller failure life reliability analysis method according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing a processor to execute the compressor impeller failure life reliability analysis method according to any one of claims 1-7 when executed.

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