Flexible support three-dimensional modeling method based on full scene

Abstract

The invention provides a flexible support three-dimensional modeling method based on a full scene. The flexible support three-dimensional modeling method based on the full scene comprises the steps that a, design parameters of a support are extracted; b, a modeling scene is selected according to the design parameters, and the modeling scene comprises a fishpond, a mountain land and a sewage treatment plant; c, modeling according to a bracket of the scene to generate a three-dimensional model; d, carrying out physical property calculation on the bracket, wherein the physical property calculation comprises stress, deformation and stability analysis; and e, according to the physical characteristic calculation result, the support design is optimized, and structural parameters are adjusted to improve the stability of the support, the full-scene flexible support three-dimensional modeling method is adopted, key parameters are extracted in the initial stage of design, targeted modeling is carried out in combination with fishpond, mountain land and sewage treatment plant scenes, and the stability of the support is improved. And the problem of low model calculation efficiency in complex terrains is fundamentally solved.

Description

Technical Field

[0001] The present invention relates to the technical field of three-dimensional modeling of flexible supports, and specifically to a three-dimensional modeling method of flexible supports based on the full scene. Background Art

[0002] The three-dimensional modeling method of flexible supports accurately constructs the three-dimensional model of the support by using the structural design parameters in different scenarios and computer modeling technology. This method generates different geometric models according to the parameters of the span, row spacing, inclination angle, and number of truss rows of the support. By establishing continuous and discontinuous span models, multi-angle modeling of the support is achieved in the complex environments of fish ponds, mountains, and sewage treatment plants. In addition, the parameter of the horizontal distance of the end stay cable is also considered to ensure the true restoration of the model. By combining digital modeling software with algorithms, the physical properties of the support can be automatically calculated and optimized, providing strong technical support for engineering design.

[0003] Although the three-dimensional modeling method of flexible supports provides an efficient solution in design and modeling, the calculation efficiency of the model in complex terrain is low, and the adaptability of the existing model to extreme temperature or humidity conditions is poor, which may lead to modeling errors. Summary of the Invention

[0004] In view of the deficiencies of the prior art, the present invention provides a three-dimensional modeling method of flexible supports based on the full scene, which solves the problems of low calculation efficiency of the model in complex terrain and modeling errors caused by poor adaptability to extreme temperature or humidity conditions.

[0005] To achieve the above objectives, the present invention is realized through the following technical solutions: A three-dimensional modeling method of flexible supports based on the full scene, including:

[0006] a. Extract the design parameters of the support;

[0007] b. Select a modeling scene according to the design parameters, and the modeling scenes include fish ponds, mountains, and sewage treatment plants;

[0008] c. Model the support according to the scene to generate its three-dimensional model;

[0009] d. Calculate the physical properties of the support, and the physical property calculation includes force, deformation, and stability analysis;

[0010] e. Optimize the support design according to the physical property calculation results, adjust the structural parameters to improve the stability of the support;

[0011] f. Automatically generate the structural drawings of the support based on the calculation results;

[0012] g. Provide modeling adaptability to support extreme temperature and humidity conditions to reduce the impact of temperature changes on modeling accuracy. The temperature influence model correction formula is:

[0013] T a = T0 + α·(T e - T r )

[0014] where T a is the corrected temperature, T0 is the initial temperature, α is the temperature coefficient of the material, T e is the ambient temperature, and T r is the reference temperature;

[0015] h. For complex terrains, optimize the computational efficiency of the 3D model to reduce modeling time and resource consumption.

[0016] i. During the modeling process, consider the dynamic change characteristics of the flexible support and make real-time adjustments to the 3D model;

[0017] j. Use algorithms to optimize the calculation of 3D model parameters to ensure the adaptability of the 3D model in different environments;

[0018] k. Verify the optimized 3D model of the support to ensure that it can meet the actual construction requirements;

[0019] I. Compare the final 3D model with the actual engineering environment to further verify the accuracy and feasibility of the 3D model;

[0020] Preferably, the force calculation formula in step d is:

[0021]

[0022] where F is the maximum force on the support, E is the elastic modulus of the material, I is the moment of inertia of the cross-section, δ is the displacement of the support, and L is the span. The verification steps in step k include conducting experimental simulations under the conditions of temperature 40°C, relative humidity 85%, and temperature -10°C, relative humidity 30%, and performing error analysis on the output results of the 3D model to improve modeling accuracy;

[0023] Preferably, the algorithm optimization in step j uses parameter optimization techniques based on genetic algorithms or particle swarm optimization algorithms to improve modeling accuracy. The construction of the 3D model is achieved by using a computer-aided design system;

[0024] Preferably, the error correction steps for physical property calculations in step e include gradually correcting for the characteristics of different materials and different scenarios, combining stress, temperature, and humidity change factors, and minimizing errors based on the calculation results;

[0025] Preferably, the modeling process of the three-dimensional model adopts modular design, independently divides the modeling, optimization, simulation verification, and result feedback links, and seamlessly connects them through the interface module to improve the operability and expandability of the system;

[0026] Preferably, the temperature coefficient α of the corrected temperature is related to the bracket material and is dynamically adjusted according to the real-time environmental temperature fluctuation to achieve high-precision modeling of the bracket three-dimensional model under extreme climates;

[0027] Preferably, the design parameters in step a include span L, row spacing P, inclination angle θ, number of truss rows N ch and the horizontal distance D of the end stay cable LS ;

[0028] Preferably, the optimal design of the three-dimensional model also includes considering the error factors in the construction process. The error factors include material error and assembly error, and combining error tolerance design to improve the robustness of the three-dimensional model and the construction fault tolerance ability.

[0029] The present invention provides a three-dimensional modeling method for a flexible bracket based on the full scenario. It has the following beneficial effects:

[0030] This three-dimensional modeling method for a flexible bracket based on the full scenario adopts the three-dimensional modeling method for a full-scenario flexible bracket. By extracting key parameters at the initial stage of design and combining with typical scenarios of fish ponds, mountains, and sewage treatment plants for targeted modeling, it fundamentally solves the problem of low model calculation efficiency in complex terrains. At the same time, by introducing environmental factors such as temperature and humidity into the model correction formula, real-time compensation for modeling errors under extreme temperature or humidity conditions is achieved, ensuring that the model can still maintain high precision under changing climate conditions. This comprehensive design idea of multi-scenario coverage and environmental adaptability not only improves the modeling efficiency but also greatly enhances the robustness of the model to cope with extreme working conditions.

[0031] The present invention integrates the physical property calculation, algorithm optimization, and subsequent verification links to form a complete closed-loop from the extraction of bracket design parameters, three-dimensional modeling, stress and deformation calculation, structural optimization to the automatic generation of construction drawings. Using genetic algorithms or particle swarm optimization algorithms to gradually correct the model parameters, combined with error minimization measures for material and assembly errors, effectively improves the operability, expandability, and engineering applicability of the entire system. Brief Description of the Drawings

[0032] Figure 1 It is a schematic flow chart of the present invention; Detailed Embodiments

[0033] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described 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 the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0034] Embodiment 1

[0035] As Figure 1 shown, the embodiment of the present invention provides a three-dimensional modeling method for a flexible bracket based on a full-scenario, including:

[0036] a. Extract the design parameters of the bracket. The design parameters include the span L, row spacing P, inclination angle θ, number of truss channels N ch and the horizontal distance D of the end stay cable LS .

[0037] b. According to the design parameters, select the modeling scenario. The modeling scenarios include fish ponds, mountains, and sewage treatment plants.

[0038] c. Model according to the bracket in the scenario to generate its three-dimensional model. The optimal design of the three-dimensional model also includes considering the error factors during the construction process. The error factors include material error and assembly error. Combining error tolerance design can improve the robustness of the three-dimensional model and the construction fault tolerance ability.

[0039] d. Calculate the physical properties of the bracket. The physical property calculation includes force, deformation, and stability analysis. The force calculation formula is:

[0040]

[0041] where F is the maximum force of the bracket, E is the elastic modulus of the material, I is the moment of inertia of the cross-section, δ is the displacement of the bracket, and L is the span.

[0042] e. Based on the results of the physical property calculation, optimize the bracket design and adjust the structural parameters to improve the stability of the bracket. The error correction steps of the physical property calculation include gradually correcting according to the characteristics of different materials and different scenarios, combined with stress, temperature, and humidity change factors, and minimizing the error according to the calculation results.

[0043] f. Automatically generate the structural drawings of the bracket based on the calculation results.

[0044] g. Provide modeling adaptability under extreme temperature and humidity conditions to reduce the influence of temperature changes on the modeling accuracy. The temperature influence model correction formula is:

[0045] T a = T0 + α·(T e - Tr )

[0046] Where T a is the corrected temperature, T0 is the initial temperature, α is the temperature coefficient of the material, and T e is the ambient temperature, and T r is the reference temperature. The temperature coefficient α is related to the material of the bracket and is dynamically adjusted according to the real-time ambient temperature fluctuation to achieve high-precision modeling of the three-dimensional model of the bracket under extreme climates.

[0047] h. For complex terrains, optimize the computational efficiency of the three-dimensional model to reduce the modeling time and resource consumption.

[0048] i. During the modeling process, consider the dynamic change characteristics of the flexible bracket and make real-time adjustments to the three-dimensional model.

[0049] j. Use algorithms to optimize the calculation of the three-dimensional model parameters to ensure the adaptability of the three-dimensional model in different environments. The algorithm optimization adopts parameter optimization techniques based on genetic algorithms or particle swarm optimization algorithms to improve the modeling accuracy. The construction of the three-dimensional model is realized by using a computer-aided design system.

[0050] k. Verify the optimized three-dimensional model of the bracket to ensure that it can meet the actual construction requirements. The verification steps include conducting experimental simulations under the conditions of a temperature of 40°C, a relative humidity of 85%, and a temperature of -10°C and a relative humidity of 30%, and performing error analysis on the output results of the three-dimensional model to improve the modeling accuracy.

[0051] I. Compare the final three-dimensional model with the actual engineering environment to further verify the accuracy and feasibility of the three-dimensional model. The modeling process of the three-dimensional model adopts modular design, independently divides the modeling, optimization, simulation verification, and result feedback links, and realizes seamless connection through the interface module to improve the operability and scalability of the system.

[0052] Experimental Examples

[0053] Experimental Environment Settings

[0054] Temperature: Set two experimental conditions:

[0055] a. The temperature is 40°C, simulating an extreme high-temperature environment;

[0056] b. The temperature is -10°C, simulating a low-temperature environment.

[0057] Relative Humidity: Set the relative humidity to 85% and 30% to simulate wet and dry environmental conditions.

[0058] Experimental Equipment: Use an environmental simulation chamber to ensure that the temperature and humidity can be precisely adjusted and stabilized.

[0059] Experimental procedures

[0060] a. Temperature and humidity control: Expose the flexible support model of the experimental object to two temperature and humidity conditions respectively:

[0061] 40°C, 85% relative humidity

[0062] -10°C, 30% relative humidity

[0063] b. Measurement and recording of data: Use sensors and strain gauges to monitor the deformation, force, and other physical properties of the support in real time. Record data including parameters such as displacement, stress, and strain.

[0064] c. Calculation of physical properties: Based on the experimental data, use the aforementioned force calculation formula to conduct force, deformation, and stability analyses.

[0065] d. Error analysis: Compare the experimental results with the calculation results of the 3D model to conduct error analysis. Focus on the impact of temperature and humidity changes on the stability and structural accuracy of the support, analyze the sources of errors, and make corrections.

[0066] Processing of experimental data

[0067] a. Analyze the various data collected during the experiment, especially conduct a detailed analysis of the impact of temperature changes and humidity fluctuations on the structural stability of the support.

[0068] b. Conduct data calibration through an error correction model to ensure that the actual performance of the model is consistent with the expectations.

[0069] Verification of experimental results

[0070] a. Under the conditions of 40°C and 85% relative humidity, record the stability and deformation of the support in a high-temperature and high-humidity environment. It is expected that the support should be able to maintain its structural stability and there should be no significant change in its load-bearing capacity.

[0071] b. Under the conditions of -10°C and 30% relative humidity, record the performance of the support in a low-temperature and dry environment, especially pay attention to the impact of low temperature on the material hardness and the stability of the support. It is expected that the support can still maintain the design parameters in a low-temperature environment, but there may be slight deformation.

[0072] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A three-dimensional modeling method for a flexible support based on the full scenario, characterized in that Including: a. Extract the design parameters of the support; b. Select a modeling scenario according to the design parameters, where the modeling scenarios include fish ponds, mountains, and sewage treatment plants; c. Model the support according to the scenario and generate its 3D model; d. Calculate the physical properties of the support, where the physical property calculation includes force, deformation, and stability analysis; e. Optimize the support design based on the physical property calculation results, adjust the structural parameters to improve the stability of the support; f. Automatically generate the structural drawings of the support based on the calculation results; g. Provide modeling adaptability under extreme temperature and humidity conditions to reduce the impact of temperature changes on modeling accuracy. The temperature influence model correction formula is: T a = T0 + α·(T e - T r ) where T a is the corrected temperature, T0 is the initial temperature, α is the temperature coefficient of the material, T e is the ambient temperature, and T r is the reference temperature; h. Optimize the calculation efficiency of the 3D model for complex terrains to reduce modeling time and resource consumption; i. Consider the dynamic change characteristics of the flexible support during the modeling process and make real-time adjustments to the 3D model; j. Use algorithms to optimize the calculation of 3D model parameters to ensure the adaptability of the 3D model in different environments; k. Verify the optimized 3D model of the support to ensure that it can meet the actual construction requirements; I. Compare the final 3D model with the actual engineering environment to further verify the accuracy and feasibility of the 3D model.

2. The three-dimensional modeling method of the flexible bracket based on the full scenario according to claim 1, wherein: The force calculation formula in step d is: where F is the maximum force on the support, E is the elastic modulus of the material, I is the moment of inertia of the cross-section, δ is the displacement of the support, L is the span. The verification steps in step k include conducting experimental simulations under the conditions of temperature 40°C, relative humidity 85%, and temperature -10°C, relative humidity 30%, and performing error analysis on the output results of the 3D model.

3. The three-dimensional modeling method of the flexible bracket based on the full scenario according to claim 1, characterized in that: The algorithm optimization in step j uses parameter optimization techniques based on genetic algorithms or particle swarm optimization algorithms to improve modeling accuracy. The construction of the 3D model is realized by using a computer-aided design system.

4. The 3D modeling method of the flexible bracket based on the full scenario according to claim 1, wherein: The error correction steps of the physical property calculation in step e include gradually correcting according to the characteristics of different materials and different scenarios, combining stress, temperature, and humidity change factors, and minimizing errors according to the calculation results.

5. The 3D modeling method of the flexible bracket based on the full scenario according to claim 1, characterized in that: The modeling process of the 3D model adopts modular design, independently divides the modeling, optimization, simulation verification, and result feedback links, and seamlessly connects them through interface modules.

6. The three-dimensional modeling method of the flexible bracket based on the full-scenario according to claim 1, characterized in that: The temperature coefficient α for correcting the temperature is related to the support material and is dynamically adjusted according to the real-time environmental temperature fluctuations to achieve high-precision modeling of the support 3D model under extreme climates.

7. The 3D modeling method of the flexible bracket based on the full scenario according to claim 1, characterized in that: The design parameters described in step a include the span L, row spacing P, inclination angle θ, number of truss rows N ch and the horizontal distance D of the end stay cables LS .

8. The three-dimensional modeling method of the flexible bracket based on the full scenario according to claim 1, characterized in that: The optimized design of the 3D model also includes considering error factors during the construction process, where the error factors include material errors and assembly errors.

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