Numerical simulation and parameter optimization design method and device for hydraulic system

Abstract

The invention discloses a hydraulic system numerical simulation and parameter optimization design method and device, and relates to the technical field of hydraulic system parameter optimization. Comprising the following steps: collecting geometric parameters and material characteristic parameters of the hydraulic system, and establishing a geometric structure model and a finite element analysis model; performing finite element analysis, applying different load conditions to obtain working parameters, and recording effective stress of the hydraulic pump blade; the average stress and the working time are combined to represent the blade abrasion degree, and an abrasion influence correction factor is calculated; working environment parameters are collected to calculate environment correction factors, and vibration amplitude is obtained to calculate load dynamic adjustment factors; and finally, the working parameters are dynamically corrected based on the correction factors, and the hydraulic system is controlled through optimization design. It is ensured that the hydraulic system keeps an efficient and stable working state in the long-term using process, the adaptive capacity of the system under different working conditions is further improved, and therefore the abrasion speed of elements is decreased, and the service life of the system is prolonged.

Description

Technical Field

[0001] The present invention relates to the technical field of hydraulic system parameter optimization, and specifically to a numerical simulation and parameter optimization design method and device for a hydraulic system. Background Art

[0002] Hydraulic systems are widely used in industrial automation, construction machinery, aerospace, automotive manufacturing and other fields, and their importance is self-evident. Through the transmission of hydraulic pumps and hydraulic oil, hydraulic systems can achieve efficient energy conversion and precise control. However, with the use of hydraulic systems, especially during the long-term operation of key components such as hydraulic pumps and blades, the system performance will be affected by various factors, resulting in problems such as efficiency decline, wear, overheating, and vibration. These problems not only reduce the working stability of the hydraulic system, but also increase the maintenance cost and system downtime, affecting the reliability and service life of the hydraulic system. Therefore, in the design, use, and maintenance of hydraulic systems, how to accurately evaluate their working conditions and optimize parameters has become an important technical challenge in hydraulic system engineering.

[0003] Currently, the design and optimization of hydraulic systems mainly rely on experience and traditional engineering calculation methods, often ignoring the complex non-linear characteristics of the system under actual working conditions. For example, due to the combined effects of factors such as fluid pressure, temperature, and vibration on the blades in a hydraulic pump, wear, deformation, and even failures may occur, which not only affects the working efficiency of the system, but also may cause deviations in the working parameters of the hydraulic system. In addition, traditional hydraulic system optimization design methods do not fully consider the comprehensive effects of factors such as the fluidity, viscosity change of hydraulic oil, and external environment change, resulting in the performance of the hydraulic system not reaching the optimal state in actual applications.

[0004] To solve this problem, researchers have gradually proposed a hydraulic system design method based on numerical simulation, which simulates the working conditions of the system under different working conditions through technologies such as finite element analysis. However, existing numerical simulation methods still have some limitations, mainly manifested in insufficient consideration of factors such as the material properties, working environment, and load conditions of each component in the hydraulic system, resulting in inaccurate optimization results and unable to effectively achieve the refined management and optimization design of the hydraulic system. Therefore, there is an urgent need for a new numerical simulation and parameter optimization design method for hydraulic systems that can comprehensively consider the geometric parameters, material properties, working environment, and load conditions of the hydraulic system, and combine finite element analysis with dynamic correction technology to achieve the optimization adjustment of the working parameters of the hydraulic system.

[0005] In the prior art, the published number CN118395849A discloses a numerical simulation and parameter optimization design method and system for a hydraulic system, including collecting the working data of the hydraulic system and constructing a numerical simulation model based on deep learning; using Gaussian process regression to construct a surrogate model of the hydraulic system and performing an efficient global optimization algorithm on the surrogate model; using reinforcement learning to automatically adjust the simulation engine parameters and optimizing the hydraulic system topology structure based on evolutionary strategies. A numerical simulation model based on deep learning is constructed, and high-quality data collected from the experimental platform is used to train deep neural network models such as long short-term memory networks to capture the internal dynamic patterns of the hydraulic system and lay a foundation for accurately simulating the system behavior. A high-precision surrogate model of the hydraulic system is constructed using Gaussian process regression, and an efficient global optimization algorithm is performed on the surrogate model to quickly explore the global optimal parameter combination. However, this method does not consider the influence brought by the wear of the hydraulic system and the relevant effects of environmental factors on the hydraulic system. Therefore, optimizing the parameters of the hydraulic system only based on the deep neural network model may lead to a decrease in accuracy and effectiveness.

[0006] The above information disclosed in the background art section is only used to enhance the understanding of the background of the present disclosure, and thus it may include information that does not constitute the prior art known to those of ordinary skill in the art. Summary of the Invention

[0007] The purpose of the present invention is to provide a numerical simulation and parameter optimization design method and device for a hydraulic system to solve the problems raised in the above background art.

[0008] To achieve the above purpose, the present invention provides the following technical solutions:

[0009] A numerical simulation and parameter optimization design method for a hydraulic system, the specific steps include:

[0010] Collect the geometric parameters of the hydraulic system to be analyzed, and based on the obtained geometric parameters of the hydraulic system to be analyzed, establish a geometric structure model of the hydraulic system to be analyzed. Collect the material characteristic parameters of the hydraulic system, and according to the obtained material characteristic parameters, combined with the geometric structure model of the hydraulic system to be analyzed, construct a finite element analysis model of the hydraulic system to be analyzed;

[0011] Input the load conditions during the working process of the hydraulic system to be analyzed into the finite element analysis model, perform numerical simulation on the working process of the hydraulic system to be analyzed to obtain the working parameters during the working process of the hydraulic system to be analyzed, and the effective stress received by the blades in the hydraulic pump during the working process. The working parameters include output pressure, hydraulic oil flow rate, and oil viscosity;

[0012] Characterize the wear degree of the blades in the hydraulic system to be analyzed based on the effective stress on the blades in the hydraulic pump and the working time of the hydraulic system to be analyzed. Calculate and generate a wear influence correction factor according to the obtained blade wear degree and the material characteristic parameters of the hydraulic system. The material characteristic parameters of the hydraulic system include the elastic modulus and Poisson's ratio of the blades in the hydraulic pump;

[0013] Collect the current working environment parameters of the hydraulic system to be analyzed, calculate and generate an environment correction factor based on the working environment parameters. At the same time, obtain the current vibration amplitude of the hydraulic system to be analyzed to calculate and generate a load dynamic adjustment factor. The working environment parameters include the temperature of the hydraulic oil, the ambient wind speed, and the ambient humidity;

[0014] Dynamically correct the working parameters of the hydraulic system to be analyzed based on the obtained environment correction factor, load dynamic adjustment factor, and wear influence correction factor to obtain a pressure correction value, a hydraulic oil flow correction value, and an oil viscosity correction value. Control the hydraulic system to be analyzed according to the corrected working parameters to complete the parameter optimization design.

[0015] Furthermore, establish a geometric model according to the determined geometric parameters of the hydraulic system to be analyzed. Specifically, based on the known design data, obtain the component connection positions of the hydraulic system to be analyzed, the total height and width of the hydraulic system to be analyzed, and combine the geometric parameters of the hydraulic system to be analyzed, including the height, length, and width of the hydraulic system to be analyzed, as well as the number and spacing between the hydraulic pumps and hydraulic cylinders to complete the establishment of the geometric model. The specific steps include: drawing the geometric shapes of the hydraulic pumps and hydraulic cylinders according to the dimensions and design requirements; modeling the connection parts between the hydraulic pumps and hydraulic cylinders; adjusting the positions, angles, and connection methods of the components;

[0016] Based on the material characteristic parameters of the hydraulic system to be analyzed, set the physical properties of the materials in the geometric model, and construct a finite element analysis model of the steel pipe support frame to be analyzed. In the established finite element analysis model, perform unified mesh division on the positions where the hydraulic pump blades and the pressure output ends of the hydraulic system to be analyzed are located. Each mesh has the same size and shape for force analysis.

[0017] Furthermore, characterize the wear degree of the blades in the hydraulic system to be analyzed based on the effective stress on the blades in the hydraulic pump and the working time of the hydraulic system to be analyzed. The formula for calculating the wear degree of the hydraulic system blades is:

[0018]

[0019] In the formula, W is the wear degree of the hydraulic system blades, σ eff (t) is the effective stress on the hydraulic system blades at time t, σ yis the yield strength of the blade of the hydraulic system, HRC is the material hardness of the blade of the hydraulic system, V(t) is the surface speed of the blade of the hydraulic system at time t, and t z is the current time. The time t is a time variable during the use of the blade of the hydraulic system. The t 0 time is the initial time when the blade of the hydraulic system starts to be used;

[0020] As described above, the surface speed V(t) of the blade of the hydraulic system at time t is calculated by the rotation radius of the blade and the rotation speed of the hydraulic pump. The specific formula for calculating the surface speed of the blade of the hydraulic system at time t is as follows:

[0021] V(t) = 2 * π * γ * N(t)

[0022] In the formula, γ is the rotation radius of the blade, specifically the distance from the rotation center of the blade to its end, and N(t) is the rotation speed of the hydraulic pump at time t;

[0023] The material hardness of the blade of the hydraulic system is obtained by correcting the Rockwell hardness obtained from the test through the material characteristic parameters and the surface average roughness of the hydraulic system. The formula for calculating the material hardness HRC of the blade of the hydraulic system is as follows:

[0024]

[0025] In the formula, HRC 0 is the Rockwell hardness of the blade obtained through the test, Ra is the surface average roughness of the blade, E is the elastic modulus of the blade, and T Y is the environmental temperature of the test, and T 0 is the reference temperature.

[0026] Furthermore, based on the obtained blade wear degree and the material characteristic parameters of the hydraulic system, a material characteristic correction factor is calculated and generated. The formula for calculating the material characteristic correction factor is as follows:

[0027]

[0028] In the formula, MCF is the wear influence correction factor, and δ is the Poisson's ratio of the blade material.

[0029] Furthermore, the working environment parameters of the hydraulic system to be analyzed are collected, and an environment correction factor is calculated and generated based on the working environment parameters. The formula for calculating the environment correction factor is as follows:

[0030]

[0031] In the formula, ECF is the environment correction factor, and T s is the temperature of the hydraulic oil, RH is the environmental humidity, and P windIndicates the wind pressure, where the wind pressure P wind The calculation formula is:

[0032]

[0033] In the formula, ρ is the air density, and V max is the wind speed in the current working environment of the hydraulic system.

[0034] Furthermore, while obtaining the vibration amplitude of the hydraulic system to be analyzed during operation, a load dynamic adjustment factor is calculated and generated. The formula based on which the load dynamic adjustment factor is calculated is:

[0035]

[0036] In the formula, QCF is the load dynamic adjustment factor, F S is the load mass, F 0 is the rated mass of the hydraulic system load, A f is the vibration amplitude of the entire hydraulic system during operation, A yz is the set vibration threshold of the hydraulic system.

[0037] Furthermore, based on the obtained environment correction factor, load dynamic adjustment factor, and wear influence correction factor, the working parameters of the hydraulic system are dynamically corrected to obtain a pressure correction value, a hydraulic oil flow correction value, and an oil viscosity correction value. The formula based on which the pressure correction value is calculated is:

[0038]

[0039] In the formula, PL 0 is the initial value of the output pressure, PL is the pressure correction value, k 1 and k 2 are the weight coefficients of the wear influence correction factor and the load dynamic adjustment factor respectively, where k 1 >k 2 and k 1 and k 2 are both greater than 0;

[0040] Among them, the formula based on which the hydraulic oil flow correction value is calculated is:

[0041]

[0042] In the formula, QL is the hydraulic oil flow correction value, QL 0 is the initial value of the hydraulic oil flow, k 3 is the weight coefficient of the environment correction factor, where k 1 >k 2 >k 3 and k 1 、k 2 and k3 are all greater than 0;

[0043] Among them, the formula for calculating the oil viscosity correction value is:

[0044]

[0045] In the formula, SL is the oil viscosity correction value, and SL 0 is the initial value of the hydraulic oil flow rate.

[0046] The present invention also provides a device for numerical simulation and parameter optimization design of a hydraulic system. The device for numerical simulation and parameter optimization design of a hydraulic system is used to execute the above-mentioned method for numerical simulation and parameter optimization design of a hydraulic system, and includes:

[0047] A finite element model establishment module, which is used to collect the geometric parameters of the hydraulic system to be analyzed, establish a geometric structure model of the hydraulic system to be analyzed based on the obtained geometric parameters of the hydraulic system to be analyzed, collect the material characteristic parameters of the hydraulic system, and combine the obtained material characteristic parameters with the geometric structure model of the hydraulic system to be analyzed to construct a finite element analysis model of the hydraulic system to be analyzed;

[0048] A numerical simulation characterization module, which is used to input the load conditions during the working process of the hydraulic system to be analyzed into the finite element analysis model, perform numerical simulation on the working process of the hydraulic system to be analyzed, so as to obtain the working parameters during the working process of the hydraulic system to be analyzed, and the effective stress suffered by the blades in the hydraulic pump during the working process. The working parameters include output pressure, hydraulic oil flow rate and oil viscosity;

[0049] A mechanical wear characterization module, which is used to characterize the wear degree of the blades of the hydraulic system to be analyzed based on the effective stress suffered by the blades in the hydraulic pump and the working time of the hydraulic system to be analyzed, calculate and generate a wear influence correction factor according to the obtained blade wear degree and the material characteristic parameters of the hydraulic system. The material characteristic parameters of the hydraulic system include the elastic modulus and Poisson's ratio of the blades in the hydraulic pump;

[0050] An environmental impact analysis module, which is used to collect the current working environment parameters of the hydraulic system to be analyzed, calculate and generate an environmental correction factor based on the working environment parameters, and at the same time obtain the current vibration amplitude of the hydraulic system to be analyzed to calculate and generate a load dynamic adjustment factor. The working environment parameters include the temperature of the hydraulic oil, environmental wind speed and environmental humidity;

[0051] A parameter optimization design module, which is used to dynamically correct the working parameters of the hydraulic system to be analyzed based on the obtained environmental correction factor, load dynamic adjustment factor and wear influence correction factor, obtain a pressure correction value, a hydraulic oil flow rate correction value and an oil viscosity correction value, and control the hydraulic system to be analyzed according to the corrected working parameters to complete the parameter optimization design.

[0052] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0053] First, by collecting the geometric parameters and material characteristics of the hydraulic system, a detailed geometric structure model and a finite element analysis model are established, ensuring the accurate simulation of the working state of the hydraulic system. By applying different load conditions and obtaining the working parameters of the hydraulic system, the performance of the hydraulic system in actual operation can be truly reflected, providing reliable data support for further optimization design. Secondly, by monitoring the effective stress on the blades in the hydraulic pump and combining the working time to characterize the wear degree of the blades, a calculation method for the wear influence correction factor is proposed. This correction factor can effectively characterize the performance decline caused by wear, ensuring that the hydraulic system maintains an efficient and stable working state during long-term use. In parallel, by collecting the working environment parameters of the hydraulic system, calculating and generating the environment correction factor and the load dynamic adjustment factor, the working parameters of the hydraulic system can be dynamically corrected, further improving the adaptability of the system under different working conditions, thereby delaying the wear speed of components and extending the service life of the system. Brief Description of the Drawings

[0054] Figure 1 is a schematic diagram of the overall method flow of the present invention;

[0055] Figure 2 is a schematic diagram of the overall device structure of the present invention. Detailed Embodiments

[0056] To make the objectives, technical solutions, and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below with reference to specific embodiments.

[0057] It should be noted that unless otherwise defined, the technical terms or scientific terms used in the present invention should have the ordinary meaning understood by those of ordinary skill in the field to which the present invention belongs. The "first", "second", and similar terms used in the present invention do not denote any order, quantity, or importance, but are only used to distinguish different components. The terms such as "including" or "comprising" mean that the elements or objects appearing before this term cover the elements or objects listed after this term and their equivalents, without excluding other elements or objects. The terms such as "connected" or "coupled" are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The terms such as "upper", "lower", "left", "right", etc. are only used to represent relative positional relationships, and when the absolute position of the object being described changes, the relative positional relationship may also change accordingly.

[0058] Embodiment:

[0059] Please refer toFigure 1 , the present invention provides a technical solution:

[0060] A numerical simulation and parameter optimization design method for a hydraulic system, the specific steps include:

[0061] Step 1: Collect the geometric parameters of the hydraulic system to be analyzed. Based on the obtained geometric parameters of the hydraulic system to be analyzed, establish a geometric structure model of the hydraulic system to be analyzed. Collect the material characteristic parameters of the hydraulic system. According to the obtained material characteristic parameters, combined with the geometric structure model of the hydraulic system to be analyzed, construct a finite element analysis model of the hydraulic system to be analyzed.

[0062] The method for establishing the geometric structure model of the hydraulic system to be analyzed is: establish a geometric model according to the determined geometric parameters of the hydraulic system to be analyzed. Specifically, according to the known design data, obtain the component connection positions of the hydraulic system to be analyzed, the total height and width of the hydraulic system to be analyzed, and combine the geometric parameters of the hydraulic system to be analyzed, including the height, length and width of the hydraulic system to be analyzed, as well as the number and spacing between hydraulic pumps and hydraulic cylinders, to complete the establishment of the geometric model. The specific steps include: draw the geometric shapes of the hydraulic pump and the hydraulic cylinder according to the dimensions and design requirements; model the connection part between the hydraulic pump and the hydraulic cylinder; adjust the positions, angles and connection methods of the components;

[0063] Based on the material characteristic parameters of the hydraulic system to be analyzed, set the physical properties of the materials in the geometric model, and construct a finite element analysis model of the steel pipe support frame to be analyzed. In the established finite element analysis model, perform unified mesh division on the locations where the hydraulic pump blades and the pressure output ends of the hydraulic system to be analyzed are located. Each mesh has the same size and shape and is used for stress analysis.

[0064] Determine the geometric dimensions of the hydraulic system to be analyzed, including the component connection positions of the hydraulic system, the total height and width of the hydraulic system to be analyzed, and combine the geometric parameters of the hydraulic system to be analyzed, including the height, length and width of the hydraulic system to be analyzed, as well as the number and spacing between hydraulic pumps and hydraulic cylinders; clarify the component parts (such as main beams, diagonal braces, cross beams, etc.) of the hydraulic system to be analyzed and the positions of the connection points; use CAD software (such as SolidWorks, AutoCAD or CATIA) to construct a three-dimensional geometric model to ensure accurate dimensions and compliance with the design drawings; import the constructed geometric model into finite element software (such as ANSYS, ABAQUS, COMSOL or HyperMesh). Ensure that the imported model is correct and check for duplicate faces, isolated edges or geometric defects.

[0065] For the hydraulic pump blades and the pressure output ends of the hydraulic system to be analyzed, refined mesh generation is required. The size and shape of each mesh element should be as consistent as possible. Select an appropriate mesh size, usually 1 / 10 of the local minimum feature size; in areas with stress concentration such as hydraulic pump blades, mesh refinement is carried out to improve the analysis accuracy; away from the hydraulic pump blades, the mesh density can be appropriately reduced to save computing resources. Specifically, the mesh generation tool of finite element software (such as the Meshing module of ANSYS, the mesh generator of ABAQUS, etc.) can be used to automatically or manually generate meshes, and unified mesh generation control parameters are set, including element size, element type, and mesh growth rate.

[0066] Step 2: Input the load conditions during the working process of the hydraulic system to be analyzed into the finite element analysis model, and perform numerical simulation on the working process of the hydraulic system to be analyzed to obtain the working parameters of the hydraulic system to be analyzed during the working process, as well as the effective stress on the blades in the hydraulic pump during the working process. The working parameters include output pressure, hydraulic oil flow rate, and oil viscosity.

[0067] The method for recording the effective stress on the blades in the hydraulic pump is as follows: Assign corresponding material properties to each component in the model, including density, elastic modulus, Poisson's ratio, etc. Ensure that these parameters are consistent with the actual material characteristics to improve the accuracy of the simulation; for different working conditions, apply corresponding pressure loads and speed conditions to simulate the behavior of the hydraulic pump under various operating states;

[0068] Run the solver in the finite element analysis software to calculate the stress distribution of the hydraulic pump blades under different load conditions. The analysis usually includes static analysis, dynamic analysis, or thermal-structural coupling analysis to obtain the stress response of the blades under different working states; through the post-processing tool, extract the stress values at key positions on the blades. Usually, the maximum principal stress or von Mises stress is concerned as the criterion for evaluating the effective stress of the blades; use the stress analysis module of the software to generate stress distribution diagrams and stress-strain curves to better understand the stress conditions of the blades under different conditions.

[0069] Step 3: Characterize the wear degree of the blades of the hydraulic system to be analyzed based on the effective stress on the blades in the hydraulic pump combined with the working time of the hydraulic system to be analyzed. According to the obtained blade wear degree and the material characteristic parameters of the hydraulic system, calculate and generate a wear influence correction factor. The material characteristic parameters of the hydraulic system include the elastic modulus and Poisson's ratio of the blades in the hydraulic pump.

[0070] Characterize the wear degree of the blades of the hydraulic system to be analyzed based on the effective stress on the blades in the hydraulic pump combined with the working time of the hydraulic system to be analyzed. The formula for calculating the wear degree of the hydraulic system blades is as follows:

[0071]

[0072] In the formula, W is the wear degree of the hydraulic system blade, and σ eff (t) is the effective stress on the hydraulic system blade at time t, and σ y is the yield strength of the hydraulic system blade, HRC is the material hardness of the hydraulic system blade, V(t) is the surface velocity of the hydraulic system blade at time t, and t z is the current time. The time t is a time variable during the use of the hydraulic system blade. The t 0 time is the initial time when the hydraulic system blade starts to be used.

[0073] It should be noted that the wear degree W of the hydraulic system blade comprehensively analyzes the use time of the hydraulic system blade, the effective stress it receives, the yield strength, the material hardness, and the surface velocity of the blade. The larger the value of the wear degree W of the hydraulic system blade, the higher the wear degree of the hydraulic system blade, and the greater the impact on the operation of the hydraulic system.

[0074] Among them, σ eff (t) represents the effective stress on the hydraulic system blade at time t. Wear is caused by mechanical loading. The blade will generate stress under the action of pressure and friction, and this stress is the main factor leading to material wear. Therefore, the greater the effective stress σ eff (t) on the hydraulic system blade at time t, the more material wear is generated. Therefore, the effective stress σ eff (t) on the hydraulic system blade at time t is proportional to the wear degree W of the hydraulic system blade.

[0075] σ y is the yield strength of the material, indicating the stress level at which the material begins to undergo plastic deformation. By using the ratio of the effective stress to the yield strength as a factor, the formula reflects the relationship between the stress state and the wear resistance of the material. The closer the effective stress is to the yield strength, the higher the wear risk. Therefore, the yield strength σ y of the hydraulic system blade is inversely proportional to the wear degree W of the hydraulic system blade.

[0076] HRC is the material hardness of the hydraulic system blade, reflecting the hardness of the material. Materials with higher hardness usually have better wear resistance. Therefore, the greater the material hardness HRC of the hydraulic system blade, the less wear is caused. Therefore, the material hardness HRC of the hydraulic system blade is inversely proportional to the wear degree W of the hydraulic system blade. The denominator part of the formula includes the hardness value, indicating that as the material hardness increases, the wear degree will decrease.

[0077] The surface velocity V(t) of the hydraulic system blade at time t is the surface velocity of the blade at time t. Wear is not only related to stress but also closely related to the velocity of relative motion. Higher surface velocities usually result in higher frictional heat and faster material wear. Therefore, the surface velocity V(t) of the hydraulic system blade at time t is proportional to the wear degree W of the hydraulic system blade.

[0078] The purpose of using the logarithmic function is to express the relationship between the surface velocity V(t) and the material hardness HRC of the hydraulic system blade in a non-linear form. The logarithmic function can effectively reduce the influence of extreme values on wear calculation and also reflects the complex influence of velocity and hardness on wear. Wear is a cumulative process over time, so the use of integration can comprehensively consider the wear situation during the entire operating cycle.

[0079] The method for obtaining the yield strength of the hydraulic system blade is as follows: In most cases, the material of the hydraulic system blade is an industrial standard material (such as steel, alloy, or other engineering materials). The yield strength of these materials is usually provided by the material supplier. The supplier will determine the yield strength of the material through standard tests (such as ISO, ASTM standards) and list it in the technical specification sheet of the material. Or it can be directly determined based on experimental methods such as tensile tests and compression tests.

[0080] As described above, the surface velocity V(t) of the hydraulic system blade at time t is calculated by the rotation radius of the blade and the rotational speed of the hydraulic pump. The specific formula for calculating the surface velocity of the hydraulic system blade at time t is as follows:

[0081] V(t) = 2 * π * γ * N(t)

[0082] In the formula, γ is the rotation radius of the blade, specifically the distance from the rotation center to its end, and N(t) is the rotational speed of the hydraulic pump at time t;

[0083] The material hardness of the hydraulic system blade is obtained by correcting the Rockwell hardness obtained from the test through the material characteristic parameters and the surface average roughness of the hydraulic system. The formula for calculating the material hardness HRC of the hydraulic system blade is as follows:

[0084]

[0085] In the formula, HRC 0 is the Rockwell hardness of the blade obtained from the test, Ra is the surface average roughness of the blade, E is the elastic modulus of the blade, T Y is the ambient temperature of the test, and T 0 is the reference temperature.

[0086] Among them, if the surface of the sample is relatively rough, the indenter may penetrate at different surface heights when applying the load, resulting in uneven indentations. The rough surface may cause incomplete contact between the indenter and the sample, making the initial load unable to be applied evenly. As a result, the measured hardness value may be low because the rough peaks will cause shallower indentations. Therefore, the average surface roughness Ra of the blade is proportional to the material hardness HRC of the hydraulic system blade, increasing the measured hardness value and eliminating the influence of roughness, in an exponential form represents a proportional relationship.

[0087] Materials with a high elastic modulus are prone to indentation recovery (elastic recovery) after unloading, making the measured indentation depth shallower than the actual depth when applying the load. This will result in a higher measured hardness value because the indentation depth measured by the hardness tester is smaller. Therefore, the elastic modulus E of the blade is inversely proportional to the material hardness HRC. It is expressed by an exponential function that as the elastic modulus E increases, the influence on the material hardness HRC gradually decreases.

[0088] As the temperature rises, most metals and alloys will soften. This is because the atomic vibrations in the crystal structure intensify at high temperatures, and the binding force between atoms weakens, resulting in a decrease in the hardness of the material. At high temperatures, metals that have undergone cold working hardening may undergo recrystallization, which will eliminate the work hardening effect and reduce the material hardness. Therefore, the test environmental temperature is inversely proportional to the material hardness HRC.

[0089] Among them, the Rockwell hardness HRC of the blade obtained through tests 0 Specifically: Usually, a Rockwell hardness tester is used for testing, and this device automatically performs load application and depth measurement. The reference temperature T 0 is generally taken as 25°C.

[0090] According to the obtained blade wear degree and the material characteristic parameters of the hydraulic system, a material characteristic correction factor is calculated. The formula based on which the material characteristic correction factor is calculated is as follows:

[0091]

[0092] In the formula, MCF is the wear influence correction factor, and δ is the Poisson's ratio of the blade material.

[0093] Among them, it should be noted that the wear influence correction factor MCF is obtained by comprehensively analyzing the wear degree of the hydraulic system blade, the Poisson's ratio and the elastic modulus of the blade material. The larger the value of the wear influence correction factor MCF, the more serious the wear of the hydraulic system blade.

[0094] Among them, the wear degree W of the hydraulic system blades has been described above to illustrate its correlation with the wear level, which will not be elaborated here. Therefore, the wear influence correction factor MCF is directly proportional to the wear degree W of the hydraulic system blades, and is represented by the exponential function e W It indicates that as the wear degree W of the hydraulic system blades increases, the wear influence correction factor MCF increases significantly.

[0095] The larger the Poisson's ratio of the material, it means that when the material is longitudinally stretched or compressed, the transverse deformation of the material will be more significant. This may affect the stability and load-bearing capacity of the material during use. The larger the Poisson's ratio δ of the blade material, the more obvious the wear situation. Therefore, the Poisson's ratio δ of the blade material is directly proportional to the wear degree W of the hydraulic system blades.

[0096] A high elastic modulus indicates that the material is less likely to deform and has a better resistance to wear. Therefore, the elastic modulus E is inversely proportional to the wear influence correction factor MCF, and is represented by the logarithmic function log 3 (1 + E), specifically indicating that as the elastic modulus gradually increases, the influence on the wear influence correction factor MCF becomes smaller.

[0097] Step 4: Collect the current working environment parameters of the hydraulic system to be analyzed, calculate and generate an environment correction factor based on the working environment parameters, and at the same time obtain the current vibration amplitude of the hydraulic system to be analyzed to calculate and generate a load dynamic adjustment factor, where the working environment parameters include the temperature of the hydraulic oil, the ambient wind speed, and the ambient humidity.

[0098] Collect the working environment parameters of the hydraulic system to be analyzed, calculate and generate an environment correction factor based on the working environment parameters, where the formula for calculating the environment correction factor is:

[0099]

[0100] In the formula, ECF is the environment correction factor, T s is the temperature of the hydraulic oil, RH is the ambient humidity, P wind represents the wind pressure, where the calculation formula for the wind pressure P wind is:

[0101]

[0102] In the formula, ρ is the air density, V max is the current working environment wind speed of the hydraulic system.

[0103] Among them, the environment correction factor ECF characterizes the influence of comprehensive environmental factors on the operation of the hydraulic system. The larger the environment correction factor ECF, the greater the influence of the environment on the operation of the hydraulic system.

[0104] Among them, an increase in temperature usually affects the viscosity of the hydraulic oil, thereby changing the performance of the system. This term indicates that the higher the temperature, the greater the possible impact on the system. Therefore, the temperature of the hydraulic oil is directly proportional to the environmental correction factor ECF.

[0105] A high-humidity environment may affect the components of the hydraulic system (such as corrosion). Therefore, this term reflects the negative impact of humidity on the system. In a high-humidity environment, moisture in the air may enter the hydraulic system through the breather of the fuel tank, leakage points, or seals, resulting in an increase in the water content of the oil and causing oil contamination. After the moisture enters the hydraulic oil, it will lead to a decrease in lubricating performance, increase the friction and wear of components, and shorten the service life of hydraulic components. Therefore, the environmental humidity is directly proportional to the environmental correction factor ECF and is represented by an exponential function It is expressed as.

[0106] Wind pressure P wind will increase the additional load of the hydraulic system and is therefore directly proportional to the environmental correction factor ECF. The cube root and logarithmic functions are used to process the wind pressure data, probably to smooth the influence of the wind pressure so that its change has a non-linear relationship with the correction factor.

[0107] At the same time, the vibration amplitude of the hydraulic system to be analyzed during operation is obtained to calculate and generate the load dynamic adjustment factor. The formula based on which the load dynamic adjustment factor is calculated is:

[0108]

[0109] In the formula, QCF is the load dynamic adjustment factor, F S is the load mass, F 0 is the rated mass of the hydraulic system load, A f is the vibration amplitude of the entire hydraulic system during operation, A yz is the set vibration threshold of the hydraulic system.

[0110] Among them, the larger the value of the load dynamic adjustment factor QCF, the greater the load of the hydraulic system and the greater the difference between the vibration amplitude during operation and the set vibration threshold of the hydraulic system.

[0111] Among them, an increase in the load mass usually increases the system pressure to meet the working requirements of the hydraulic system. Therefore, through the square root function, the influence is large but the change is gentle.

[0112] (A f -A yz ) 2 This term represents the difference between the actual vibration amplitude and the set threshold. The square operation means that when the vibration amplitude exceeds the threshold, it will cause an exponential impact. Vibration is an important indicator for judging the stability of a mechanical system. Excessive vibration will affect the system performance and life. Therefore, (A f -Ayz ) 2 Is directly proportional to the load dynamic adjustment factor.

[0113] Step 5: Based on the obtained environmental correction factor, load dynamic adjustment factor, and wear impact correction factor, dynamically correct the working parameters of the hydraulic system to be analyzed to obtain the pressure correction value, hydraulic oil flow correction value, and oil viscosity correction value. Control the hydraulic system to be analyzed according to the corrected working parameters to complete the parameter optimization design.

[0114] Dynamically correct the working parameters of the hydraulic system based on the obtained environmental correction factor, load dynamic adjustment factor, and wear impact correction factor to obtain the pressure correction value, hydraulic oil flow correction value, and oil viscosity correction value. The formula for calculating the pressure correction value is as follows:

[0115]

[0116] In the formula, PL 0 is the initial output pressure value, PL is the pressure correction value, k 1 and k 2 are the weight coefficients of the wear impact correction factor and the load dynamic adjustment factor respectively. Among them, k 1 > k 2 and k 1 and k 2 are both greater than 0.

[0117] Among them, the larger the wear impact correction factor MCF, the greater the wear of the hydraulic system. The output pressure should be reduced to improve the service life of the hydraulic system. Therefore, the pressure correction value PL is inversely proportional to the wear impact correction factor MCF. Through the exponential function it indicates that the more serious the wear, the more significant the impact on the output pressure; the larger the value of the load dynamic adjustment factor QCF, the greater the load of the hydraulic system. Therefore, the output pressure should be appropriately increased to meet the hydraulic requirements. Therefore, the load dynamic adjustment factor QCF is directly proportional to the pressure correction value PL. Through the square root it indicates that when the load dynamic adjustment factor is large enough, it has an effective impact on the pressure correction value PL.

[0118] Among them, the formula for calculating the hydraulic oil flow correction value is as follows:

[0119]

[0120] In the formula, QL is the hydraulic oil flow correction value, QL 0 is the initial hydraulic oil flow value, k 3 is the weight coefficient of the environmental correction factor. Among them, k 1 > k 2 > k 3 and k1 , k 2 and k 3 are all greater than 0;

[0121] Among them, the wear influence correction factor MCF reflects the influence of vane wear on the performance in the hydraulic system. Excessive hydraulic oil flow will accelerate wear and reduce the service life of the hydraulic system. Therefore, the hydraulic oil flow correction value is inversely proportional to the wear influence correction factor MCF. Through the fraction it shows that when the wear is small (MCF is small), its influence is small; while when the wear increases (MCF is large), the influence will increase rapidly, showing a non-linear growth trend;

[0122] The load dynamic adjustment factor QCF characterizes the influence of load dynamic changes on the hydraulic system. The increase or change of the load has an important influence on the hydraulic oil flow. When the load increases, the hydraulic oil flow should be increased to meet the hydraulic requirements. Therefore, the load dynamic adjustment factor QCF is directly proportional to the hydraulic oil flow correction value, indicating that the influence of the load on the system increases gradually. The greater the load change amplitude, the more significant the influence on the flow. However, using the square root can make the influence of the load change not too drastic and ensure the stability of the system;

[0123] The larger the environment correction factor ECF, the greater the influence of the environment on the operation of the hydraulic system. Therefore, the hydraulic oil flow should be increased to meet the hydraulic requirements. So the environment correction factor ECF is directly proportional to the hydraulic oil flow correction value. Through the logarithmic form ln(1 + ECF), the influence of the environment correction factor on the hydraulic oil flow is non-linear and changes gradually. When the environmental influence is small, the correction value changes slowly, while when the environmental influence is large, its influence will increase accordingly, but the characteristics of the logarithmic function can prevent the influence from being too drastic.

[0124] Among them, the formula for calculating the oil viscosity correction value is:

[0125]

[0126] In the formula, SL is the oil viscosity correction value, and SL 0 is the initial value of the hydraulic oil flow.

[0127] Oils with high viscosity can provide better lubrication effects in hydraulic pumps, valves and pipelines, reduce friction and wear, and extend the service life of the equipment. Therefore, the greater the wear influence correction factor MCF, the higher the oil viscosity should be increased to reduce friction and wear. So the oil viscosity correction value SL is directly proportional to the wear influence correction factor MCF. Through the exponential function it shows the significant influence of the wear influence correction factor MCF on the oil viscosity correction value SL;

[0128] Meanwhile, the larger the environmental correction factor ECF is, the higher the temperature and the greater the humidity, which leads to a decrease in the viscosity of the oil. Therefore, the oil viscosity correction value SL should be proportional to the environmental correction factor ECF to increase the viscosity of the oil and reduce the wear effect. Using the logarithmic form ln(1 + ECF) makes the influence of the environmental correction factor on the oil viscosity correction value non-linear and gradually changing. When the environmental influence is small, the correction value changes slowly, while when the environmental influence is large, its influence will increase correspondingly, but the characteristics of the logarithmic function can prevent the influence from being too drastic.

[0129] Since the relevant relationships between the environmental correction factor, the load dynamic adjustment factor, and the wear influence correction factor and the corresponding parameters have been specifically described above, they will not be elaborated here. Among them, since the wear condition is directly related to the service life and usage of the hydraulic system, the weight coefficient of the wear influence correction factor is the largest. At the same time, the load and vibration conditions can reflect the working stability of the system, which has an indirect impact on improving the working efficiency and service life of the hydraulic system. Therefore, set k 1 >k 2 >k 3 and k 1 、k 2 and k 3 are all greater than 0.

[0130] Please refer to Figure 2 , the present invention also provides a device for numerical simulation and parameter optimization design of a hydraulic system. The device for numerical simulation and parameter optimization design of a hydraulic system is used to execute the above-mentioned method for numerical simulation and parameter optimization design of a hydraulic system, including:

[0131] A finite element model establishment module, which is used to collect the geometric parameters of the hydraulic system to be analyzed, based on the obtained geometric parameters of the hydraulic system to be analyzed, establish a geometric structure model of the hydraulic system to be analyzed, collect the material characteristic parameters of the hydraulic system, and combine the obtained material characteristic parameters with the geometric structure model of the hydraulic system to be analyzed to construct a finite element analysis model of the hydraulic system to be analyzed;

[0132] A numerical simulation characterization module, which is used to input the load conditions during the working process of the hydraulic system to be analyzed into the finite element analysis model, perform numerical simulation on the working process of the hydraulic system to be analyzed, so as to obtain the working parameters during the working process of the hydraulic system to be analyzed, and the effective stress suffered by the blades in the hydraulic pump during the working process. The working parameters include output pressure, hydraulic oil flow rate, and oil viscosity;

[0133] A mechanical wear characterization module, which is used to characterize the wear degree of the blades of the hydraulic system to be analyzed based on the effective stress received by the blades in the hydraulic pump combined with the working time of the hydraulic system to be analyzed, and calculate and generate a wear influence correction factor according to the obtained blade wear degree combined with the material characteristic parameters of the hydraulic system. The material characteristic parameters of the hydraulic system include the elastic modulus and Poisson's ratio of the blades in the hydraulic pump;

[0134] An environmental impact analysis module, which is used to collect the current working environment parameters of the hydraulic system to be analyzed, calculate and generate an environmental correction factor based on the working environment parameters, and at the same time obtain the current vibration amplitude of the hydraulic system to be analyzed to calculate and generate a load dynamic adjustment factor, where the working environment parameters include the temperature of the hydraulic oil, the environmental wind speed and the environmental humidity;

[0135] A parameter optimization design module, which is used to dynamically correct the working parameters of the hydraulic system to be analyzed based on the obtained environmental correction factor, load dynamic adjustment factor and wear influence correction factor, obtain a pressure correction value, a hydraulic oil flow correction value and an oil viscosity correction value, and control the hydraulic system to be analyzed according to the corrected working parameters to complete the parameter optimization design.

[0136] The above formulas are all dimensionless and take their numerical values for calculation. The formulas are obtained by collecting a large amount of data for software simulation to get a formula that is closest to the real situation. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0137] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. Those skilled in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed in this article can be implemented by electronic hardware, or by the combination of computer software and electronic hardware. Whether these functions are executed by hardware or software methods depends on the specific application and design constraints of the technical solution.

[0138] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units. They can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0139] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present application, and all should be covered within the protection scope of the present application.

Claims

1. A method for numerical simulation and parameter optimization design of a hydraulic system, characterized in that: The specific steps include: Collecting geometric parameters of the hydraulic system to be analyzed, establishing a geometric structure model of the hydraulic system to be analyzed based on the acquired geometric parameters of the hydraulic system to be analyzed, collecting material characteristic parameters of the hydraulic system, and constructing a finite element analysis model of the hydraulic system to be analyzed based on the acquired material characteristic parameters and the geometric structure model of the hydraulic system to be analyzed; The load conditions of the hydraulic system to be analyzed during operation are input into the finite element analysis model, and the working process of the hydraulic system to be analyzed is numerically simulated to obtain the working parameters of the hydraulic system to be analyzed during operation, as well as the effective stress on the blades in the hydraulic pump during operation. The working parameters include output pressure, hydraulic oil flow rate and oil viscosity. Based on the effective stress on the blades in the hydraulic pump and the working time of the hydraulic system to be analyzed, the wear degree of the blades of the hydraulic system to be analyzed is characterized, and the wear influence correction factor is calculated based on the obtained blade wear degree and the material characteristic parameters of the hydraulic system, wherein the material characteristic parameters of the hydraulic system include the elastic modulus and Poisson's ratio of the blades in the hydraulic pump; Collect the current working environment parameters of the hydraulic system to be analyzed, calculate and generate the environmental correction factor based on the working environment parameters, and simultaneously obtain the current vibration amplitude of the hydraulic system to be analyzed to calculate and generate the load dynamic adjustment factor, wherein the working environment parameters include the temperature of the hydraulic oil, the ambient wind speed and the ambient humidity; Based on the obtained environmental correction factor, load dynamic adjustment factor and wear influence correction factor, the working parameters of the hydraulic system to be analyzed are dynamically corrected to obtain pressure correction value, hydraulic oil flow correction value and oil viscosity correction value. According to the corrected working parameters, the hydraulic system to be analyzed is controlled to complete the parameter optimization design.

2. A method for numerical simulation and parameter optimization design of a hydraulic system according to claim 1, characterized in that: The method for establishing the geometric structure model of the hydraulic system to be analyzed is: establishing the geometric model according to the determined geometric parameters of the hydraulic system to be analyzed, specifically, obtaining the connection positions of the components of the hydraulic system to be analyzed and the total height and width of the hydraulic system to be analyzed according to the known design data, and completing the establishment of the geometric model in combination with the geometric parameters of the hydraulic system to be analyzed including the height, length and width of the hydraulic system to be analyzed, and the number and spacing between the hydraulic pumps and hydraulic cylinders. The specific steps include: drawing the geometric shapes of the hydraulic pumps and hydraulic cylinders according to the size and design requirements; modeling the connection part between the hydraulic pumps and hydraulic cylinders; adjusting the position, angle and connection method of the components; Based on the material characteristic parameters of the hydraulic system to be analyzed, the physical properties of the materials in the geometric model are set, and a finite element analysis model of the steel pipe support frame to be analyzed is constructed. In the established finite element analysis model, a unified grid division is performed on the hydraulic pump blades and the pressure output end of the hydraulic system to be analyzed. The size and shape of each grid are consistent for force analysis.

3. A method for numerical simulation and parameter optimization design of a hydraulic system according to claim 2, characterized in that: Based on the effective stress on the blades in the hydraulic pump and the working time of the hydraulic system to be analyzed, the wear degree of the blades of the hydraulic system to be analyzed is characterized. The formula for calculating the wear degree of the blades of the hydraulic system is: Where W is the wear degree of the hydraulic system blade, σ eff (t) is the effective stress on the blades of the hydraulic system at time t, σ y is the yield strength of the hydraulic system blade, HRC is the material hardness of the hydraulic system blade, V(t) is the surface velocity of the hydraulic system blade at time t, t z is the current moment, the t moment is the time variable during the use of the hydraulic system blades, and the t0 moment is the initial moment when the hydraulic system blades begin to be used; The surface velocity V(t) of the hydraulic system blade at time t is calculated by the rotation radius of the blade and the rotation speed of the hydraulic pump, wherein the surface velocity of the hydraulic system blade at time t is calculated based on the formula: V(t)=2*π*γ*N(t) Where γ is the rotation radius of the blade, specifically the distance from the blade's rotation center to its tip, and N(t) is the speed of the hydraulic pump at time t; The material hardness of the hydraulic system blade is obtained by correcting the Rockwell hardness obtained from the test through the material characteristic parameters and the average surface roughness of the hydraulic system, wherein the formula for calculating the material hardness HRC of the hydraulic system blade is: Where HRC0 is the Rockwell hardness of the blade obtained through the test, Ra is the average roughness of the blade surface, E is the elastic modulus of the blade, and T Y is the test environment temperature, T0 is the reference temperature.

4. A method for numerical simulation and parameter optimization design of a hydraulic system according to claim 3, characterized in that: The material property correction factor is calculated based on the obtained blade wear and the material characteristic parameters of the hydraulic system. The material property correction factor is calculated based on the formula: Where MCF is the wear correction factor and δ is the Poisson’s ratio of the blade material.

5. A method for numerical simulation and parameter optimization design of a hydraulic system according to claim 4, characterized in that: Collect the working environment parameters of the hydraulic system to be analyzed, and calculate and generate the environmental correction factor based on the working environment parameters. The formula for calculating the environmental correction factor is: Where ECF is the environmental correction factor, T s is the temperature of the hydraulic oil, RH is the ambient humidity, P wind represents wind pressure, where wind pressure P wind The calculation formula is: Where ρ is the air density, V max It is the wind speed of the current working environment of the hydraulic system.

6. A method for numerical simulation and parameter optimization design of a hydraulic system according to claim 5, characterized in that: At the same time, the vibration amplitude of the hydraulic system to be analyzed is obtained during operation to calculate and generate the load dynamic adjustment factor, wherein the formula for calculating the load dynamic adjustment factor is: Where QCF is the load dynamic adjustment factor, F S is the load mass, F0 is the rated mass of the hydraulic system load, A f is the vibration amplitude of the entire hydraulic system during operation, A yz The vibration threshold of the hydraulic system is set.

7. A method for numerical simulation and parameter optimization design of a hydraulic system according to claim 6, characterized in that: Based on the obtained environmental correction factor, load dynamic adjustment factor and wear influence correction factor, the working parameters of the hydraulic system are dynamically corrected to obtain the pressure correction value, hydraulic oil flow correction value and oil viscosity correction value. The formula for calculating the pressure correction value is: In the formula, PL0 is the initial value of the output pressure, PL is the pressure correction value, k1 and k2 are the weight coefficients of the wear influence correction factor and the load dynamic adjustment factor, respectively, where k1>k2 and k1 and k2 are both greater than 0; Among them, the formula for calculating the hydraulic oil flow correction value is: In the formula, QL is the hydraulic oil flow correction value, QL0 is the hydraulic oil flow initial value, k3 is the weight coefficient of the environmental correction factor, where k1>k2>k3 and k1, k2 and k3 are all greater than 0; The formula for calculating the oil viscosity correction value is: Where SL is the oil viscosity correction value, and SL0 is the initial value of the hydraulic oil flow.

8. A hydraulic system numerical simulation and parameter optimization design device, characterized in that: The hydraulic system numerical simulation and parameter optimization design device is used to execute the hydraulic system numerical simulation and parameter optimization design method according to any one of claims 1 to 7, comprising: A finite element model building module is used to collect geometric parameters of the hydraulic system to be analyzed, build a geometric structure model of the hydraulic system to be analyzed based on the acquired geometric parameters of the hydraulic system to be analyzed, collect material characteristic parameters of the hydraulic system, and build a finite element analysis model of the hydraulic system to be analyzed based on the obtained material characteristic parameters and the geometric structure model of the hydraulic system to be analyzed; A numerical simulation characterization module is used to input the load conditions of the hydraulic system to be analyzed during its working process into the finite element analysis model, and to perform numerical simulation on the working process of the hydraulic system to be analyzed, so as to obtain the working parameters of the hydraulic system to be analyzed during its working process, and the effective stress on the blades in the hydraulic pump during its working process. The working parameters include output pressure, hydraulic oil flow rate and oil viscosity; A mechanical wear characterization module is used to characterize the wear degree of the blades of the hydraulic system to be analyzed based on the effective stress on the blades in the hydraulic pump and the working time of the hydraulic system to be analyzed, and calculate and generate a wear influence correction factor based on the obtained blade wear degree and the material characteristic parameters of the hydraulic system. The material characteristic parameters of the hydraulic system include the elastic modulus and Poisson's ratio of the blades in the hydraulic pump; An environmental impact analysis module is used to collect the current working environment parameters of the hydraulic system to be analyzed, calculate and generate an environmental correction factor based on the working environment parameters, and simultaneously obtain the current vibration amplitude of the hydraulic system to be analyzed to calculate and generate a load dynamic adjustment factor, wherein the working environment parameters include the temperature of the hydraulic oil, the ambient wind speed and the ambient humidity; The parameter optimization design module is used to dynamically correct the working parameters of the hydraulic system to be analyzed based on the obtained environmental correction factor, load dynamic adjustment factor and wear influence correction factor, obtain the pressure correction value, hydraulic oil flow correction value and oil viscosity correction value, control the hydraulic system to be analyzed according to the corrected working parameters, and complete the parameter optimization design.

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