A manufacturing method and system for guardrail optimization

Abstract

The present application belongs to the field of guardrail manufacturing, and aims at the problem that the original performance is damaged because the future application scene is not considered in the manufacturing process of the guardrail. A manufacturing method and system for guardrail optimization are provided. The method comprises the following steps: acquiring scene information and guardrail model information input by a user; finding corresponding guardrail structure information according to the guardrail model information; finding a corresponding topology optimization model according to the scene information; substituting the guardrail structure information into the topology optimization model to obtain a reconstruction model; setting a built-in space structure into the reconstruction model to obtain a to-be-determined model; detecting a target characteristic of the to-be-determined model, and manufacturing a guardrail according to the to-be-determined model when the target characteristic meets a corresponding characteristic standard.

Description

TECHNICAL FIELD

[0001] The present application belongs to the field of guardrail manufacturing, and particularly relates to a manufacturing method and system for guardrail optimization. BACKGROUND

[0002] As an important module indispensable to infrastructure construction and the construction industry, guardrails bear the functions of space division, safety protection, and beautification of the environment, and thus it is urgent to combine the green environmental protection concept with advanced design methods, promote the application of green environmental protection materials and lightweight structures in the guardrail industry, and enrich the functions of guardrails to reduce the material and energy consumption of the industry.

[0003] Currently, during the production and application of guardrails, the scene where the guardrail is to be installed is not particularly considered, and the guardrail is directly purchased in bulk and then fixedly installed. The guardrail may not be suitable for the scene, and directly installing the unsuitable guardrail in the scene may affect the performance of the guardrail itself, such as fragility and reduced service life. SUMMARY

[0004] The present application provides a manufacturing method and system for guardrail optimization to solve the problem that the performance of the guardrail is damaged in the prior art because the scene where the guardrail is to be applied is not considered during the manufacturing process.

[0005] The basic scheme of the present application is a manufacturing method for guardrail optimization, comprising:

[0006] obtaining scene information and guardrail model information input by a user;

[0007] finding corresponding guardrail structure information according to the guardrail model information;

[0008] finding a corresponding topology optimization model according to the scene information;

[0009] substituting the guardrail structure information into the topology optimization model to obtain a reconstruction model;

[0010] setting a built-in space structure into the reconstruction model to obtain a tentative model;

[0011] detecting a target property of the tentative model, and manufacturing a guardrail according to the tentative model when the target property meets a corresponding property standard.

[0012] Further, the topology optimization model is obtained by training a neural network model based on historical scene information and historical guardrail structure information.

[0013] Further, finding a corresponding topology optimization model according to the scene information comprises:

[0014] According to the scene information, a lightweight standard and a structural strength standard are obtained;

[0015] Taking the lightweight and the structural strength as objective functions, combining a finite element numerical method, discretizing a structural design domain of the guardrail structure information into a plurality of units, using a quadratic programming algorithm as an optimization algorithm in a topology optimization process, and iteratively performing a plurality of times until a convergence condition is met, an optimal solution of a guardrail material distribution is obtained; wherein the convergence condition includes the lightweight standard and the structural strength standard.

[0016] According to the optimal solution of the guardrail material distribution, a topology optimization model is obtained.

[0017] Further, the guardrail structure information is substituted into the topology optimization model to obtain a reconstruction model, including:

[0018] A TACS solver is used to perform size optimization on the guardrail structure information and the topology optimization model to obtain a primary standard model and a primary material optimization model.

[0019] The primary standard model and the primary material optimization model are compared using an optimal size arrangement mode, and a weight reduction coefficient of the primary material optimization model is analyzed.

[0020] A weight reduction standard range corresponding to the user-input scene information is searched;

[0021] The weight reduction coefficient within the weight reduction standard range is screened out, and the primary material optimization model corresponding to the screened weight reduction coefficient is taken as the reconstruction model.

[0022] Further, an internal space structure is set into the reconstruction model to obtain a to-be-determined model, including:

[0023] A reconstruction model of the pipe gallery structure is screened out.

[0024] According to a preset function module arrangement rule and a function module positioning rule, an internal accessory input by a user is substituted into the reconstruction model to obtain a to-be-determined model; the function module includes the internal accessory.

[0025] Further, a target property of the to-be-determined model is detected, and when the target property meets a corresponding property standard, a guardrail is manufactured according to the to-be-determined model, including:

[0026] The target property includes a stress property.

[0027] Abaqus software is used to perform stress simulation on the to-be-determined model according to the scene information to obtain a guardrail structural strength.

[0028] Compare the guardrail structure strength with the corresponding guardrail strength standard range of the stress characteristics, and screen out the to-be-determined model whose guardrail structure strength belongs to the guardrail strength standard range, so as to manufacture the guardrail.

[0029] Further, the internal accessories input by the user include any accessory in a preset modular design scheme;

[0030] The modular design scheme is obtained according to the various types of accessories, accessory circuit performance, coupling guardrail safety rules and energy consumption rules.

[0031] Further, manufacturing the guardrail according to the to-be-determined model includes:

[0032] Manufacturing the guardrail shell according to the topological optimization model in the to-be-determined model;

[0033] Finding the coating corresponding to the performance compensation according to the comparison result between the target characteristics and the characteristic standard in the to-be-determined model;

[0034] Spraying the coating on the guardrail shell.

[0035] And the application also provides a manufacturing system for guardrail optimization, including:

[0036] An input module is configured to acquire scene information and guardrail model information input by a user;

[0037] A search module is configured to search for corresponding guardrail structure information according to the guardrail model information, and search for a topological optimization model corresponding to the scene information;

[0038] A reconstruction module is configured to substitute the guardrail structure information into the topological optimization model to obtain a reconstructed model;

[0039] An assembly module is configured to substitute an internal space structure into the reconstructed model to obtain a to-be-determined model;

[0040] A detection module is configured to detect target characteristics of the to-be-determined model;

[0041] A comparison module is configured to compare the target characteristics of the to-be-determined model with a characteristic standard, and send a manufacturing start signal to a control module when the target characteristics meet the corresponding characteristic standard;

[0042] The control module is configured to manufacture the guardrail according to the to-be-determined model according to the manufacturing start signal.

[0043] Further, the manufacturing system further includes:

[0044] The comparison module is further configured to take a difference between the target characteristics and the characteristic standard as performance compensation information when the target characteristics do not meet the characteristic standard.

[0045] The search module is further configured to search for corresponding coating information according to the performance compensation information.

[0046] The spraying module is configured to spray the guardrail with a coating corresponding to the coating information.

[0047] Beneficial effects: In the present case, the selection of guardrail materials fully considers the environment (i.e., scene information) to which the guardrail is to be directed. Through the scene information, the corresponding rules (i.e., topology optimization model) for the application of the guardrail in the scene are found. According to the actual guardrail model and the topology optimization model, the original guardrail model is reconstructed to obtain a reconstructed model, so that the guardrail corresponding to the reconstructed model can adapt to the surrounding environment. Then, the built-in space structure is input into the reconstructed model, and the built-in space corresponding to the reconstructed model is set in the real world. The circuit structure is set in the built-in space to realize the automatic monitoring of the guardrail and the communication connection with the Internet of Things, the Internet of Vehicles, and the server. The target characteristics of the pending model are detected to ensure that the guardrail corresponding to the pending structure can meet the standards in various quality tests. In the present case, the actual scene and the guardrail are simulated by modeling, and the performance is pre-rehearsed before the guardrail is manufactured, so as to ensure that the guardrail manufactured according to the pending model can adapt to the scene. BRIEF DESCRIPTION OF DRAWINGS

[0048] Figure 1 A flowchart of a manufacturing method for guardrail optimization according to the present application;

[0049] Figure 2 A structural schematic diagram of a manufacturing system for guardrail optimization according to the present application. DETAILED DESCRIPTION

[0050] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the various embodiments of the present application will be described in detail below with reference to the accompanying drawings. However, those skilled in the art can understand that, in the various embodiments of the present application, many technical details are presented to make the reader better understand the present application. However, the technical solutions claimed by the present application can be realized even without these technical details and various changes and modifications based on the following embodiments.

[0051] First embodiment:

[0052] The first embodiment of the present application provides a manufacturing method for guardrail optimization, comprising: obtaining user input scene information and guardrail model information; finding corresponding guardrail structure information according to the guardrail model information; finding a corresponding topology optimization model according to the scene information; substituting the guardrail structure information into the topology optimization model to obtain a reconstruction model; setting a built-in space structure into the reconstruction model to obtain a pending model; detecting the target characteristics of the pending model, and manufacturing a guardrail according to the pending model when the target characteristics meet the corresponding characteristic standard.

[0053] In the selection of guardrail materials, the environment to which the guardrail is to be directed (i.e. scene information) is fully considered, the rules for the application of the guardrail to the scene (i.e. topology optimization model) are found through the scene information, the original guardrail model is reconstructed according to the actual guardrail model and the topology optimization model, and the reconstructed model is obtained, so that the guardrail corresponding to the reconstructed model can adapt to the surrounding environment. Then the built-in space structure is introduced into the reconstruction model, and the circuit structure is set in the built-in space to realize the automatic monitoring of the guardrail and the communication connection with the Internet of Things, the Internet of Vehicles and the server. And the target characteristics of the pending model are detected to ensure that the guardrail corresponding to the pending structure can meet the standard in various quality tests. The actual scene and the guardrail are simulated by modeling, and the guardrail is preformed before manufacturing to ensure that the guardrail built according to the pending model can adapt to the scene.

[0054] The implementation details of the manufacturing method for guardrail optimization of the present embodiment will be described in detail below. The following content is only provided for the implementation details for easy understanding, and is not necessary for implementing the present solution. The specific process of the present embodiment is as shown in Figure 1 The present embodiment is applied to a manufacturing system for guardrail optimization.

[0055] Step 101, obtaining user input scene information and guardrail model information.

[0056] Specifically, the scene information is usually the environment information around the guardrail, which usually includes weather information, guardrail light intensity, road foundation strength, etc. The input of the scene information can be manual input by the user or automatic import after data collection by the sensor. The weather information is usually connected with the external weather forecast system to automatically obtain and update the weather forecast information. The guardrail model information usually includes the size of the guardrail (i.e. the size of each part of the guardrail) and the style information of the guardrail.

[0057] Step 102, finding corresponding guardrail structure information according to the guardrail model information.

[0058] Specifically, according to the guardrail model information input in step 101, corresponding guardrail structure information is found in a preset guardrail model-structure table from a storage module (memory).

[0059] Step 103: According to the scene information, find the corresponding topological optimization model.

[0060] In some examples, the topological optimization model is obtained by training a neural network model based on historical scene information and historical guardrail structure information.

[0061] Specifically, the topological optimization model in this example is automatically calculated according to historical conditions, and as the training deepens, the topological optimization model will become more and more accurate. It is worth noting that the topological optimization model in this case aims to select the corresponding material ratio, material structure and material distribution according to the scene information.

[0062] In some examples, step 103 includes:

[0063] S3-1, according to the scene information, obtain the lightweight standard and the structural strength standard;

[0064] S3-2, taking lightweight and structural strength as the objective function, combining the finite element numerical method, discretizing the structure design domain of the guardrail structure information into multiple units;

[0065] S3-3, using a quadratic programming algorithm as the optimization algorithm in the topological optimization process, multiple iterations until the convergence condition is met, obtaining the optimal solution of the guardrail material distribution;

[0066] S3-4, according to the optimal solution of the guardrail material distribution, obtain the topological optimization model.

[0067] Wherein, the convergence condition includes the lightweight standard and the structural strength standard.

[0068] Specifically, this example aims to take the internal structure and overall layout of the guardrail under different scenarios as the research object, respectively establish the topological optimization model, take lightweight and structural strength as the objective function, combine the finite element numerical method, discretize the structure design domain into n units, use the quadratic programming algorithm (SQP) as the optimization algorithm in the topological optimization process, after multiple iterations, meet the convergence condition, obtain the optimal solution of the guardrail material distribution; On this basis, the optimal way of guardrail layout is explored. And summarize the law of guardrail material distribution to obtain the topological optimization model.

[0069] Step 104: Substitute the guardrail structure information into the topological optimization model to obtain the reconstruction model.

[0070] Specifically, step 104 comprises:

[0071] S4-1, using a TACS solver to size optimize the guardrail structure information and the topology optimization model to obtain a primary standard model and a primary material optimization model;

[0072] S4-2, comparing the primary standard model and the primary material optimization model using an optimal size arrangement mode to analyze a weight reduction coefficient of the primary material optimization model;

[0073] S4-3, searching for a weight reduction standard range corresponding to the user input scene information;

[0074] S4-4, screening out the weight reduction coefficient within the weight reduction standard range, and taking the primary material optimization model corresponding to the screened weight reduction coefficient as a reconstruction model.

[0075] In this example, the reconstruction model is established according to the topology optimization result, the standard model is established according to the existing guardrail, the weight reduction benefit brought by the topology optimization is analyzed, the TACS (Toolkit for the Analysis of Composite Structures) solver is used to size optimize the standard model and the reconstruction model, the optimal size arrangement mode is used for comparison, and the weight reduction mechanism is analyzed. And according to the weight reduction coefficient, screening is performed, so as to ensure weight reduction on the basis of stable structure.

[0076] Step 105, setting the built-in space structure into the reconstruction model to obtain a to-be-determined model.

[0077] Specifically, step 105 comprises:

[0078] S5-1, screening out the reconstruction model of the pipe gallery structure;

[0079] S5-2, according to the preset function module arrangement rule and function module positioning rule, substituting the user input internal accessories into the reconstruction model to obtain a to-be-determined model.

[0080] The function module comprises internal accessories. The internal accessories comprise a solar panel, a battery, an LED lamp, and the like.

[0081] In this example, on the basis of the lightweight structure achieved in step 104, a structure model of the guardrail is established by using the Solidworks software, the guardrail post is optimized again based on the pipe gallery structure, the internal space distribution scheme is integrated with the functional module wire arrangement and positioning mode, the reliability and ease of assembly are taken as the design goals, the layout mode of the functional accessories such as solar panels, batteries and LED lights is obtained, the guardrail space is fully utilized while the integrity and aesthetics of the guardrail structure are maintained, and finally the modular design scheme of the multifunctional energy-saving accessories is formed, the safety function and the energy-saving function of the guardrail are coupled, and the lighting, warning, noise reduction and other functions are provided for the guardrail.

[0082] In some examples, the internal accessory input by the user includes any accessory in a preset modular design scheme; the modular design scheme is obtained by coupling the various kinds of accessories, the accessory circuit performance, the guardrail safety law and the energy consumption law.

[0083] In this example, the internal accessory obtains a pending model after being loaded as a reconfigured model, and the energy consumption of the internal accessory needs to be ensured to guarantee the basic safety of the guardrail during loading.

[0084] In step 106, the target characteristics of the pending model are detected, and when the target characteristics meet the corresponding characteristic standard, the guardrail is manufactured according to the pending model.

[0085] Specifically, the detection process of the target characteristics in step 106 includes:

[0086] S6-1, the target characteristics include stress characteristics;

[0087] S6-2, Abaqus software is used to simulate the stress of the pending model according to the scene information, and the guardrail structure strength is obtained.

[0088] S6-3, the guardrail structure strength is compared with the guardrail strength standard range corresponding to the stress characteristics, and the pending model whose guardrail structure strength belongs to the guardrail strength standard range is screened out for manufacturing the guardrail.

[0089] In this example, based on the hybrid cellular automaton algorithm, the Abaqus software is used to simulate the actual use scene of the optimized guardrail, the stress of the optimized guardrail is simulated, and the guardrail structure strength is calculated. Then, the guardrail structure strength is used for screening, so that the stress characteristics of the simulation guardrail installed in the internal structure can be qualified.

[0090] In some examples, manufacturing the guardrail according to the pending model includes:

[0091] Manufacturing the guardrail shell according to the topological optimization model in the pending model;

[0092] According to the comparison result between the target characteristics in the to-be-determined model and the characteristic standard, a coating corresponding to the performance compensation is found;

[0093] The guardrail shell is sprayed with the coating.

[0094] Specifically, the present example aims to detect the deficiency of the guardrail itself, and compensate for the aforementioned deficiency through secondary spraying.

[0095] For example, the corrosion resistance of the guardrail substrate and surface coating is tested using a salt spray corrosion tester, an electrochemical workstation, the mechanical properties of the guardrail are tested using a hardness tester, an electronic universal testing machine, and the failure mechanism is explored using XRD, SEM, XPS, etc. Based on high-throughput experiments and data-driven methods, a mapping relationship model between the ratio of the surface strengthening material of the guardrail and the performance of the surface coating is established, the optimal ratio of the material used for powder spraying is explored, and the spraying process path is optimized based on the NSGA-II multi-objective optimization genetic algorithm. The performance compensation model based on the connection mode between the guardrail structure, components and modules and the spraying strengthening coverage rate is established, and aluminum-manganese alloy connectors are used instead of welding to compensate for weak links such as connection gaps.

[0096] The step division of the above methods is only for the purpose of clear description, and in implementation, one step can be combined or some steps can be split and decomposed into multiple steps, as long as the same logical relationship is included, and all are within the protection scope of the present patent. Irrelevant modifications or irrelevant designs can be added to the algorithm or process, but the core design of the algorithm and process is not changed, and all are within the protection scope of the present patent.

[0097] Second embodiment:

[0098] The second embodiment of the present application provides a manufacturing system for guardrail optimization, as shown in Figure 2 The manufacturing system comprises:

[0099] An input module 201 is configured to acquire scene information and guardrail model information input by a user.

[0100] A search module 202 is configured to search for corresponding guardrail structure information according to the guardrail model information, and search for a corresponding topology optimization model according to the scene information.

[0101] A reconstruction module 203 is configured to substitute the guardrail structure information into the topology optimization model to obtain a reconstructed model.

[0102] An assembly module 204 is configured to set an internal space structure into the reconstructed model to obtain a to-be-determined model.

[0103] The detection module 205 is configured to detect a target characteristic of the to-be-made model.

[0104] The comparison module 206 is configured to compare the target characteristic of the to-be-made model with a characteristic standard, and send a manufacturing start signal to the control module when the target characteristic meets the corresponding characteristic standard.

[0105] The control module 207 is configured to manufacture the guardrail according to the to-be-made model based on the manufacturing start signal.

[0106] In some examples, the manufacturing system for guardrail optimization further comprises:

[0107] The comparison module 206 is further configured to, when the target characteristic does not meet the characteristic standard, take a difference between the target characteristic and the characteristic standard as performance compensation information.

[0108] The search module 202 is further configured to search for corresponding coating information based on the performance compensation information.

[0109] The spraying module 208 is configured to spray the guardrail with coating corresponding to the coating information.

[0110] It can be found that the embodiment is a system embodiment corresponding to the first embodiment, and the embodiment can be implemented in cooperation with the first embodiment. The related technical details mentioned in the first embodiment are still valid in the embodiment. In order to reduce repetition, they will not be described here. Correspondingly, the related technical details mentioned in the embodiment can also be applied in the first embodiment.

[0111] It is worth mentioning that each module involved in the embodiment is a logical module. In actual application, a logical unit can be a physical unit, a part of a physical unit, or a combination of multiple physical units. In addition, in order to highlight the innovative part of the application, units not closely related to solving the technical problems proposed in the application are not introduced in the embodiment, but this does not mean that there are no other units in the embodiment.

[0112] The above-mentioned are only embodiments of the present application, and the common knowledge of specific structures and characteristics in the scheme is not described too much herein. The ordinary skilled person in the art knows all the ordinary technical knowledge in the field of the present application before the application date or the priority date, can know all the prior art in the field, and has the ability to apply conventional experimental means before that date. The ordinary skilled person in the art can perfect and implement the present scheme under the guidance of the present application, combined with their own ability. Some typical known structures or known methods should not be an obstacle for the ordinary skilled person in the art to implement the present application. It should be noted that, for those skilled in the art, without departing from the structure of the present application, a number of modifications and improvements can be made, which should also be considered as the protection scope of the present application. These will not affect the effect and practicality of the patent. The protection scope of the present application should be subject to the content of its claims, and the specific implementation mode and the like in the specification can be used to explain the content of the claims.

Claims

1. A manufacturing method for guard optimization, characterized by, The method comprises the following steps: Obtaining user input scene information and guardrail model information; According to the guardrail model information, find the corresponding guardrail structure information; According to the scene information, find the corresponding topology optimization model; Substitute the guardrail structure information into the topology optimization model to obtain a reconstruction model; Set the built-in space structure into the reconstruction model to obtain a tentative model; Detect the target characteristics of the tentative model, and manufacture the guardrail according to the tentative model when the target characteristics meet the corresponding characteristic standard; According to the scene information, find the corresponding topology optimization model, which comprises: According to the scene information, obtain the lightweight standard and the structural strength standard; Taking lightweight and structural strength as the objective function, combining the finite element numerical method, discretizing the structure design domain of the guardrail structure information into multiple units, using the quadratic programming algorithm as the optimization algorithm in the topology optimization process, and iterating multiple times until the convergence condition is met to obtain the optimal solution of the guardrail material distribution; wherein the convergence condition includes the lightweight standard and the structural strength standard; According to the optimal solution of the guardrail material distribution, obtain the topology optimization model; Substitute the guardrail structure information into the topology optimization model to obtain a reconstruction model, which comprises: Using TACS solver to perform size optimization on the guardrail structure information and the topology optimization model to obtain a primary standard model and a primary material optimization model; Compare the primary standard model and the primary material optimization model using the optimal size arrangement method, and analyze to obtain the weight reduction coefficient of the primary material optimization model; Find the weight reduction standard range corresponding to the user input scene information; Screen out the weight reduction coefficients within the weight reduction standard range, and take the primary material optimization model corresponding to the screened weight reduction coefficients as the reconstruction model; Set the built-in space structure into the reconstruction model to obtain a tentative model, which comprises: Screen out the reconstruction model of the pipe gallery structure; According to the preset function module arrangement rule and function module positioning rule, substitute the user input internal accessories into the reconstruction model to obtain a tentative model; the function module comprises internal accessories.

2. A manufacturing method for guardrail optimization according to claim 1, characterized by: The topology optimization model is obtained based on historical scene information and historical guardrail structure information by training a neural network model.

3. A manufacturing method for guardrail optimization according to claim 1, characterized in that, Detect the target characteristics of the tentative model, and manufacture the guardrail according to the tentative model when the target characteristics meet the corresponding characteristic standard, which comprises: The target characteristics include stress characteristics; Using Abaqus software, simulate the stress of the tentative model according to the scene information to obtain the guardrail structural strength; Compare the guardrail structural strength with the guardrail strength standard range corresponding to the stress characteristics, and screen out the tentative model whose guardrail structural strength belongs to the guardrail strength standard range for manufacturing the guardrail.

4. A manufacturing method for guardrail optimization according to claim 1, characterized by: The user input internal accessories include any accessory in the preset modular design scheme; The modular design scheme is obtained by coupling various types of accessories, accessory circuit performance, guardrail safety rules and energy consumption rules.

5. A manufacturing method for guardrail optimization as claimed in claim 1, wherein: Manufacture the guardrail according to the tentative model, which comprises: Manufacture the guardrail shell according to the topology optimization model in the tentative model; According to the comparison result between the target property in the to-be-determined model and the property standard, find the coating corresponding to the performance compensation; Spray the guardrail shell with the coating.

6. A manufacturing system for guardrail optimization, which is executed based on the manufacturing method for guardrail optimization according to any one of claims 1 to 5, characterized by, Comprise: An input module configured to acquire scene information and guardrail model information input by a user; A finding module configured to find corresponding guardrail structure information according to the guardrail model information; Find a topology optimization model corresponding to the scene information; A reconstruction module configured to substitute the guardrail structure information into the topology optimization model to obtain a reconstructed model; An assembling module configured to set an internal space structure into the reconstructed model to obtain a to-be-determined model; A detection module configured to detect a target property of the to-be-determined model; A comparison module configured to compare the target property in the to-be-determined model with a property standard, and send a manufacturing start signal to a control module when the target property meets the corresponding property standard; A control module configured to manufacture a guardrail according to the to-be-determined model according to the manufacturing start signal. According to the scene information, find a topology optimization model corresponding to the scene information, comprising: According to the scene information, obtain a lightweight standard and a structural strength standard; Taking the lightweight and the structural strength as objective functions, combining a finite element numerical method, discretize a structure design domain of the guardrail structure information into a plurality of units, use a quadratic programming algorithm as an optimization algorithm in a topology optimization process, and iterate multiple times until a convergence condition is met to obtain an optimal solution of guardrail material distribution; wherein the convergence condition comprises the lightweight standard and the structural strength standard; According to the optimal solution of the guardrail material distribution, obtain the topology optimization model.

7. A manufacturing system for guardrail optimization according to claim 6, wherein, Further comprise: The comparison module is further used to take a difference between the target property and the property standard as performance compensation information when the target property does not meet the property standard; The finding module is further used to find coating information corresponding to the performance compensation information according to the performance compensation information; A spraying module configured to spray the guardrail with a coating corresponding to the coating information.

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