A structural optimization method and system for anti-salt spray metering box

Abstract

The present invention discloses a method and system for optimizing the structure of a salt fog proof metering box. The method comprises: collecting salt fog monitoring parameters in a salt fog environment, obtaining material selection schemes for each low-voltage metering box and structural layout schemes for each low-voltage metering box, and further optimizing and selecting to obtain optimization schemes for each anti-salt fog material combination and optimization schemes for each anti-salt fog structural layout, obtaining each salt fog proof optimized metering box, and obtaining corresponding corrosion time series and metering accuracy time series based on the simulation state of each salt fog proof optimized metering box. The correlation characteristics between each corrosion time series and the corresponding metering accuracy time series are analyzed, and the corrosion resistance index is calculated in combination with the fitting characteristics of the corresponding metering accuracy time series to obtain the optimal salt fog proof metering box. The method and system for optimizing the structure of a salt fog proof metering box provided by the embodiment of the present invention improve the optimization effect of the salt fog proof metering box.

Description

Technical Field

[0001] The invention relates to the technical field of power grid equipment, and in particular to a structure optimization method and system for a salt spray proof metering box. Background Art

[0002] The low-voltage meter box is a device used to measure and record the power consumption in the low-voltage power system. It is usually installed at the incoming line or user side of the low-voltage distribution system to measure, monitor and control the user's power consumption. The low-voltage meter box plays a vital role in the power system. It is not only the basis for electricity bill settlement between power companies and users, but also an important part of the stable operation and energy management of the power system.

[0003] Since the low-pressure metering box is exposed to high salt spray environment for a long time, the components and metal parts inside the low-pressure metering box are corroded, affecting the metering accuracy and service life. By optimizing the low-pressure metering box for salt spray protection, the risk of salt spray corrosion of the low-pressure metering box can be effectively reduced, thereby increasing the service life of the low-pressure metering box.

[0004] However, the existing low-pressure metering boxes are of uniform design and cannot be adjusted and optimized according to the salt spray environment parameters, resulting in poor optimization effect on the anti-salt spray metering box.

[0005] It can be seen that how to improve the optimization effect of the low-pressure metering box has become a technical problem that needs to be solved urgently by those skilled in the art. Summary of the invention

[0006] The invention provides a structural optimization method and system for a salt-fog proof metering box, so as to solve the technical problem that the existing low-pressure metering boxes are uniformly designed, the metering boxes cannot be adjusted and optimized according to salt-fog environmental parameters, and the optimization effect of the salt-fog proof metering box is poor.

[0007] In order to solve the above technical problems, an embodiment of the present invention provides a method for optimizing the structure of a salt spray proof metering box.

[0008] Collect salt spray monitoring parameters in a salt spray environment, fuse the structural material of the meter box and all the salt spray monitoring parameters to obtain the current environmental deterioration level and the corrosion intensity prediction value; perform a first matching process on the current environmental deterioration level, the corrosion intensity prediction value and the rule knowledge base to obtain the material selection scheme of each low-pressure meter box and the structural layout scheme of each low-pressure meter box;

[0009] Based on the corrosion resistance, corrosion rate and corresponding protection performance of all the optional anti-salt fog materials in all the low-pressure metering box material selection schemes, obtain the optimization schemes for the combination of each anti-salt fog material; based on the structural connectivity characteristics and corresponding structural compactness characteristics of all the low-pressure metering box structure layout schemes, obtain the optimization schemes for the layout of each anti-salt fog structure;

[0010] Combining all the anti-salt spray material combination optimization schemes and all the anti-salt spray structure layout optimization schemes to obtain various anti-salt spray optimized metering boxes; obtaining a corresponding corrosion time series based on the simulated corrosion state of each of the anti-salt spray optimized metering boxes; obtaining a corresponding metering accuracy time series based on the simulated metering accuracy of each of the anti-salt spray optimized metering boxes;

[0011] The corrosion resistance index of each of the salt spray protection optimized metering boxes is calculated based on the correlation characteristics between each of the corrosion time series and the corresponding metering accuracy time series and the fitting characteristics of the corresponding metering accuracy time series;

[0012] The optimal metering box for preventing salt spray is obtained based on the sorting results of all the corrosion resistance indexes.

[0013] As one of the preferred solutions, the structural material of the metering box and all the salt spray monitoring parameters are fused to obtain the current environmental deterioration level and corrosion intensity prediction value, including:

[0014] Based on the change characteristics of all the salt spray monitoring parameters, a corrosion accumulation sequence is constructed, and a support vector regression model is used to perform regression analysis on the corrosion accumulation sequence to obtain the current environmental deterioration level;

[0015] Performing a second matching process on the structural material of the metering box and the material corrosion database to obtain a first corrosion rate of the metering box;

[0016] Based on the linear relationship between the current environmental degradation level and the first corrosion rate, a predicted value of the corrosion intensity of the metering box is calculated.

[0017] As one of the preferred solutions, the combination optimization scheme of each anti-salt spray material is obtained based on the corrosion resistance, corrosion rate and corresponding protection performance of all anti-salt spray optional materials in all the low-pressure metering box material selection schemes, including:

[0018] Perform a third matching process on each of the optional salt spray resistant materials, the material physical and chemical property database, and the salt spray corrosion test database to obtain an anti-corrosion performance index of each of the optional salt spray resistant materials;

[0019] Collecting electrochemical impedance data of each of the optional anti-salt spray materials in the salt spray environment, and processing the electrochemical impedance data using a pre-trained deep neural network to obtain a second corrosion rate of each of the optional anti-salt spray materials;

[0020] Collecting the surface micromorphology map, element distribution map and X-ray photoelectron spectrum of each of the optional anti-salt spray materials, and fusing and analyzing the surface micromorphology map, element distribution map and corresponding X-ray photoelectron spectrum of each of the optional anti-salt spray materials to obtain the corresponding protection performance index;

[0021] A material combination optimization function is constructed based on all the anti-corrosion performance indexes, all the second corrosion rates and all the protection performance indexes, and the material combination optimization function is solved to obtain various anti-salt spray material combination optimization schemes.

[0022] As one of the preferred solutions, the method of obtaining each anti-salt spray structure layout optimization solution based on the structural connectivity characteristics and corresponding structural compactness characteristics of all the low-pressure metering box structure layout solutions includes:

[0023] Constructing a corresponding three-dimensional meter box model based on each of the low-voltage meter box structure layout schemes, and extracting three views of the three-dimensional meter box model;

[0024] Constructing a corresponding structural skeleton wireframe diagram based on the shape features of the three views;

[0025] Performing image segmentation on the structural skeleton wireframe diagram to obtain structural component diagrams of each meter box, and calculating the structural layout rationality index of each low-voltage meter box structural layout scheme based on the positional relationship and corresponding angle relationship between the structural component diagrams of each meter box;

[0026] Extract the outline of the structural skeleton wireframe to obtain the contour curves of each sealing surface, match the contour curves of each sealing surface to obtain the sealing grooves of each low-pressure metering box structural layout scheme, fuse the depth features, width features and angle features of all the sealing grooves to obtain the sealing qualification index of each low-pressure metering box structural layout scheme;

[0027] Based on the structural layout rationality index of all the low-pressure metering box structural layout schemes and the corresponding sealing qualification index, each salt spray protection structural layout optimization scheme is obtained.

[0028] As one of the preferred solutions, all the anti-salt spray material combination optimization solutions and all the anti-salt spray structure layout optimization solutions are combined to obtain various anti-salt spray optimized metering boxes, including:

[0029] Three-dimensional modeling software is used to perform three-dimensional modeling based on any of the anti-salt spray material combination optimization schemes and any of the anti-salt spray structure layout optimization schemes to obtain various anti-salt spray optimized metering boxes.

[0030] As one of the preferred solutions, the method of obtaining the corresponding corrosion time series based on the simulated corrosion state of each of the anti-salt spray optimization metering boxes includes:

[0031] The simulation software is used to simulate the corrosion state of each of the anti-salt spray optimized metering boxes in a preset high salt spray environment. During the simulation process, the corrosion degree of each of the anti-salt spray optimized metering boxes is collected, and the corrosion degrees of each of the anti-salt spray optimized metering boxes at all collection moments are arranged in ascending order according to the time sequence of acquisition to obtain the corrosion time series of each of the anti-salt spray optimized metering boxes.

[0032] As one of the preferred solutions, the method of obtaining the corresponding metering accuracy time series based on the simulated metering accuracy of each of the salt spray protection optimization metering boxes includes:

[0033] During the simulation process, the simulated metering accuracy of each of the anti-salt spray optimized metering boxes is collected, and the simulated metering accuracy of each of the anti-salt spray optimized metering boxes at all collection moments is arranged in ascending order according to the time sequence of acquisition to obtain the metering accuracy time series of each of the anti-salt spray optimized metering boxes.

[0034] As one of the preferred solutions, the corrosion resistance index of each of the salt spray optimized metering boxes is calculated based on the correlation characteristics between each of the corrosion time series and the corresponding metering accuracy time series and the fitting characteristics of the corresponding metering accuracy time series, including:

[0035] The Pearson correlation coefficient between the corrosion time series of each of the salt spray protection optimized metering boxes and the corresponding metering accuracy time series is used as the corrosion failure correlation factor of each of the salt spray protection optimized metering boxes;

[0036] The least square method is used to perform curve fitting on each of the metering accuracy time series to obtain a corresponding accuracy fitting time series, and the corrosion failure stability index of each of the salt spray protection optimized metering boxes is calculated based on the difference characteristics between each of the metering accuracy time series and the corresponding accuracy fitting time series;

[0037] Based on the linear relationship between the corrosion failure correlation factor of each of the salt spray protection optimized metering boxes and the corresponding corrosion failure stability index, the corresponding corrosion resistance index is calculated.

[0038] As one of the preferred solutions, the method of obtaining the optimal salt spray protection metering box based on the sorting results of all the corrosion resistance indexes includes:

[0039] All the corrosion resistance indexes are sorted, and the anti-salt spray optimized metering box corresponding to the largest corrosion resistance index is used as the anti-salt spray optimal metering box.

[0040] Yet another embodiment of the present invention provides a structural optimization system for a salt spray proof metering box, the system comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and the processor implements the structural optimization method for a salt spray proof metering box as described above when executing the computer program.

[0041] Compared with the prior art, the embodiments of the present invention have the following advantages:

[0042] (1) The structural materials of the metering box and all salt spray monitoring parameters are integrated to obtain the current environmental deterioration level and corrosion intensity prediction value. The current environmental deterioration level, corrosion intensity prediction value and rule knowledge base are first matched to obtain the material selection scheme and structural layout scheme of each low-pressure metering box. Taking into account the real-time collection of the current environmental salt spray content and the prediction of the degree of corrosion, the material selection and structural layout of the low-pressure metering box are dynamically optimized to comprehensively optimize the corrosion resistance of the low-pressure metering box.

[0043] (2) Taking into account the corrosion resistance of the low-pressure metering box materials and the stability of the structure, firstly, based on the corrosion resistance, corrosion rate and corresponding protection performance of all anti-salt spray optional materials in all low-pressure metering box material selection schemes, the optimization schemes of each anti-salt spray material combination are obtained; then, based on the structural connectivity characteristics and corresponding structural compactness characteristics of all low-pressure metering box structure layout schemes, the optimization schemes of each anti-salt spray structure layout are obtained, and all the anti-salt spray material combination optimization schemes and all the anti-salt spray structure layout optimization schemes are combined to obtain each anti-salt spray optimized metering box, thereby further optimizing the corrosion resistance of the low-pressure metering box;

[0044] (3) Based on the simulated corrosion state of each anti-salt spray optimized metering box, the corresponding corrosion time series is obtained, and based on the simulated metering accuracy of each anti-salt spray optimized metering box, the corresponding metering accuracy time series is obtained; the correlation characteristics between each corrosion time series and the corresponding metering accuracy time series are analyzed, and the corrosion resistance index of each anti-salt spray optimized metering box is calculated in combination with the fitting characteristics of the corresponding metering accuracy time series to measure the anti-salt spray performance of each anti-salt spray optimized metering box. The optimal anti-salt spray metering box is obtained based on the ranking results of all corrosion resistance indices, thereby improving the optimization effect of the anti-salt spray metering box. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a flow chart of a method for optimizing the structure of a salt spray proof metering box in one embodiment of the present invention;

[0046] Figure 2 It is a schematic diagram of obtaining the optimal metering box for salt fog protection in one embodiment of the present invention. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. The purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] In the description of this application, the terms "first", "second", "third", etc. are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first", "second", "third", etc. may explicitly or implicitly include one or more of the feature. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0049] In the description of the present application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be a connection between the two elements. The terms "vertical", "horizontal", "left", "right", "upper", "lower" and similar expressions used herein are only for illustrative purposes, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0050] In the description of this application, it should be noted that, unless otherwise defined, all technical and scientific terms used in the present invention have the same meaning as those commonly understood by those skilled in the art. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood by specific circumstances.

[0051] An embodiment of the present invention provides a method for optimizing the structure of a salt spray proof metering box. For details, see Figure 1 , Figure 1 The flowchart is a method for optimizing the structure of a salt spray proof metering box in one embodiment of the present invention.

[0052] Step S1: Collect salt spray monitoring parameters in a salt spray environment, fuse the structural materials of the metering box and all salt spray monitoring parameters, obtain the current environmental deterioration level and corrosion intensity prediction value, and obtain the material selection plan for each low-pressure metering box and the structural layout plan for each low-pressure metering box.

[0053] Specifically, a corrosion accumulation sequence is constructed based on the change characteristics of all salt spray monitoring parameters, and the support vector regression model is used to perform regression analysis on the corrosion accumulation sequence to obtain the current environmental deterioration level. The structural material of the metering box and the material corrosion database are subjected to a second matching process to obtain the first corrosion rate of the metering box. Based on the linear relationship between the current environmental deterioration level and the first corrosion rate, the corrosion intensity prediction value of the metering box is calculated.

[0054] Furthermore, the current environmental degradation level, the corrosion intensity prediction value and the rule knowledge base are subjected to a first matching process to obtain a material selection scheme for each low-pressure metering box and a structural layout scheme for each low-pressure metering box.

[0055] Step S2: Obtaining various anti-salt spray material combination optimization schemes based on the corrosion resistance, corrosion rate and corresponding protection performance of all anti-salt spray optional materials in all low-pressure metering box material selection schemes.

[0056] Specifically, a third matching process is performed on each optional anti-salt spray material, the material physical and chemical property database, and the salt spray corrosion test database to obtain the corrosion resistance performance index of each optional anti-salt spray material.

[0057] The electrochemical impedance data of each optional anti-salt spray material in a salt spray environment is collected, and the electrochemical impedance data is processed using a pre-trained deep neural network to obtain the second corrosion rate of each optional anti-salt spray material. The surface micromorphology spectrum, element distribution spectrum and X-ray photoelectron spectrum of each optional anti-salt spray material are collected, and the surface micromorphology spectrum, element distribution spectrum and corresponding X-ray photoelectron spectrum of each optional anti-salt spray material are fused and analyzed to obtain the corresponding protection performance index.

[0058] A material combination optimization function is constructed based on all anti-corrosion performance indexes, all second corrosion rates and all protection performance indexes. The material combination optimization function is solved to obtain the optimization schemes for each anti-salt spray material combination.

[0059] Step S3: Based on the structural connectivity characteristics and corresponding structural compactness characteristics of all low-pressure metering box structural layout schemes, each anti-salt spray structural layout optimization scheme is obtained, and all anti-salt spray material combination optimization schemes are combined to obtain each anti-salt spray optimized metering box.

[0060] Specifically, a corresponding three-dimensional meter box model is constructed based on each low-voltage meter box structural layout scheme, the three views of the three-dimensional meter box model are extracted, the corresponding structural skeleton wireframe diagram is constructed based on the shape features of the three views, and the structural skeleton wireframe diagram is segmented to obtain structural component drawings of each meter box. The structural layout rationality index of each low-voltage meter box structural layout scheme is calculated based on the positional relationship and the corresponding angular relationship between the structural component drawings of each meter box.

[0061] The contour of the structural skeleton wireframe is extracted to obtain the contour curves of each sealing surface. The contour curves of each sealing surface are matched to obtain the sealing grooves of each low-pressure metering box structural layout scheme. The depth characteristics, width characteristics and angle characteristics of all sealing grooves are fused to obtain the sealing qualification index of each low-pressure metering box structural layout scheme.

[0062] Based on the structural layout rationality index and corresponding sealing qualification index of all low-pressure metering box structural layout schemes, each salt spray protection structural layout optimization scheme is obtained.

[0063] Furthermore, three-dimensional modeling software is used to perform three-dimensional modeling based on any anti-salt spray material combination optimization scheme and any anti-salt spray structure layout optimization scheme to obtain various anti-salt spray optimized metering boxes.

[0064] Step S4: obtaining a corresponding corrosion time series based on the simulated corrosion state of each salt spray protection optimized metering box, and obtaining a corresponding metering accuracy time series based on the simulated metering accuracy of each salt spray protection optimized metering box.

[0065] Specifically, simulation software is used to simulate the corrosion state of each anti-salt spray optimized metering box in a preset high salt spray environment. The corrosion degree of each anti-salt spray optimized metering box is collected during the simulation process, and the corrosion degree of each anti-salt spray optimized metering box at all collection times is arranged in ascending order according to the time sequence of acquisition to obtain the corrosion time series of each anti-salt spray optimized metering box.

[0066] During the simulation process, the simulated metering accuracy of each anti-salt spray optimized metering box is collected, and the simulated metering accuracy of each anti-salt spray optimized metering box at all collection moments is arranged in ascending order according to the time sequence of acquisition to obtain the metering accuracy time series of each anti-salt spray optimized metering box.

[0067] Step S5: Calculate the corrosion resistance index of each salt spray optimized metering box based on the correlation characteristics between each corrosion time series and the corresponding metering accuracy time series and the fitting characteristics of the corresponding metering accuracy time series, and obtain the salt spray optimal metering box based on the sorting results of all corrosion resistance indices.

[0068] Specifically, the Pearson correlation coefficient between the corrosion time series of each anti-salt spray optimized metering box and the corresponding metering accuracy time series is used as the corrosion failure correlation factor of each anti-salt spray optimized metering box.

[0069] The least squares method is used to perform curve fitting on each metering accuracy time series to obtain the corresponding accuracy fitting time series. The corrosion failure stability index of each salt spray protection optimized metering box is calculated based on the difference characteristics between each metering accuracy time series and the corresponding accuracy fitting time series.

[0070] Based on the linear relationship between the corrosion failure correlation factor of each anti-salt spray optimized metering box and the corresponding corrosion failure stability index, the corresponding corrosion resistance index is calculated.

[0071] Furthermore, all corrosion resistance indexes are sorted, and the anti-salt spray optimized metering box corresponding to the largest corrosion resistance index is used as the anti-salt spray optimal metering box.

[0072] For details, see Figure 2 , Figure 2 Shown is a schematic diagram of obtaining the optimal metering box for salt fog protection in one embodiment of the present invention.

[0073] Yet another embodiment of the present invention provides a structural optimization system for a salt spray proof metering box, the system comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and the processor implements the structural optimization method for a salt spray proof metering box as described above when executing the computer program.

[0074] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A method for optimizing the structure of a salt spray proof metering box, characterized in that: The method comprises: Collect salt spray monitoring parameters in a salt spray environment, fuse the structural material of the meter box and all the salt spray monitoring parameters to obtain the current environmental deterioration level and the corrosion intensity prediction value; perform a first matching process on the current environmental deterioration level, the corrosion intensity prediction value and the rule knowledge base to obtain the material selection scheme of each low-pressure meter box and the structural layout scheme of each low-pressure meter box; Based on the corrosion resistance, corrosion rate and corresponding protection performance of all the optional anti-salt fog materials in all the low-pressure metering box material selection schemes, obtain the optimization schemes for the combination of each anti-salt fog material; based on the structural connectivity characteristics and corresponding structural compactness characteristics of all the low-pressure metering box structure layout schemes, obtain the optimization schemes for the layout of each anti-salt fog structure; The method of obtaining each anti-salt spray structure layout optimization scheme based on the structural connectivity characteristics and corresponding structural compactness characteristics of all the low-pressure metering box structure layout schemes includes: Constructing a corresponding three-dimensional meter box model based on each of the low-voltage meter box structure layout schemes, and extracting three views of the three-dimensional meter box model; Constructing a corresponding structural skeleton wireframe diagram based on the shape features of the three views; Performing image segmentation on the structural skeleton wireframe diagram to obtain structural component diagrams of each meter box, and calculating the structural layout rationality index of each low-voltage meter box structural layout scheme based on the positional relationship and corresponding angle relationship between the structural component diagrams of each meter box; Extract the outline of the structural skeleton wireframe to obtain the contour curves of each sealing surface, match the contour curves of each sealing surface to obtain the sealing grooves of each low-pressure metering box structural layout scheme, fuse the depth features, width features and angle features of all the sealing grooves to obtain the sealing qualification index of each low-pressure metering box structural layout scheme; Based on the structural layout rationality index of all the low-pressure metering box structural layout schemes and the corresponding sealing qualification index, each anti-salt spray structural layout optimization scheme is obtained; Combining all the anti-salt spray material combination optimization schemes and all the anti-salt spray structure layout optimization schemes to obtain various anti-salt spray optimized metering boxes; obtaining a corresponding corrosion time series based on the simulated corrosion state of each of the anti-salt spray optimized metering boxes; obtaining a corresponding metering accuracy time series based on the simulated metering accuracy of each of the anti-salt spray optimized metering boxes; Calculating the corrosion resistance index of each of the salt spray protection optimized metering boxes based on the correlation characteristics between each of the corrosion time series and the corresponding metering accuracy time series and the fitting characteristics of the corresponding metering accuracy time series; The calculation of the corrosion resistance index of each of the salt spray protection optimized metering boxes based on the correlation characteristics between each of the corrosion time series and the corresponding metering accuracy time series and the fitting characteristics of the corresponding metering accuracy time series includes: The Pearson correlation coefficient between the corrosion time series of each of the salt spray protection optimized metering boxes and the corresponding metering accuracy time series is used as the corrosion failure correlation factor of each of the salt spray protection optimized metering boxes; The least square method is used to perform curve fitting on each of the metering accuracy time series to obtain a corresponding accuracy fitting time series, and the corrosion failure stability index of each of the salt spray protection optimized metering boxes is calculated based on the difference characteristics between each of the metering accuracy time series and the corresponding accuracy fitting time series; Based on the linear relationship between the corrosion failure correlation factor of each of the salt spray protection optimized metering boxes and the corresponding corrosion failure stability index, the corresponding corrosion resistance index is calculated; The optimal metering box for preventing salt spray is obtained based on the sorting results of all the corrosion resistance indexes.

2. The structural optimization method of a salt spray proof metering box according to claim 1 is characterized in that: The structural material of the metering box and all the salt spray monitoring parameters are fused to obtain the current environmental deterioration level and corrosion intensity prediction value, including: Based on the change characteristics of all the salt spray monitoring parameters, a corrosion accumulation sequence is constructed, and a support vector regression model is used to perform regression analysis on the corrosion accumulation sequence to obtain the current environmental deterioration level; Performing a second matching process on the structural material of the metering box and the material corrosion database to obtain a first corrosion rate of the metering box; Based on the linear relationship between the current environmental degradation level and the first corrosion rate, a predicted value of the corrosion intensity of the metering box is calculated.

3. The structural optimization method of a salt spray proof metering box according to claim 1 is characterized in that: The method of obtaining the optimization scheme of each anti-salt spray material combination based on the corrosion resistance, corrosion rate and corresponding protection performance of all the anti-salt spray optional materials in all the low-pressure metering box material selection schemes includes: Perform a third matching process on each of the optional salt spray resistant materials, the material physical and chemical property database, and the salt spray corrosion test database to obtain an anti-corrosion performance index of each of the optional salt spray resistant materials; Collecting electrochemical impedance data of each of the optional anti-salt spray materials in the salt spray environment, and processing the electrochemical impedance data using a pre-trained deep neural network to obtain a second corrosion rate of each of the optional anti-salt spray materials; Collecting the surface micromorphology map, element distribution map and X-ray photoelectron spectrum of each of the optional anti-salt spray materials, and fusing and analyzing the surface micromorphology map, element distribution map and corresponding X-ray photoelectron spectrum of each of the optional anti-salt spray materials to obtain the corresponding protection performance index; A material combination optimization function is constructed based on all the anti-corrosion performance indexes, all the second corrosion rates and all the protection performance indexes, and the material combination optimization function is solved to obtain various anti-salt spray material combination optimization schemes.

4. The structural optimization method of a salt spray proof metering box according to claim 1, characterized in that: The above-mentioned anti-salt spray material combination optimization schemes and all the above-mentioned anti-salt spray structure layout optimization schemes are combined to obtain various anti-salt spray optimization metering boxes, including: Three-dimensional modeling software is used to perform three-dimensional modeling based on any of the anti-salt spray material combination optimization schemes and any of the anti-salt spray structure layout optimization schemes to obtain various anti-salt spray optimized metering boxes.

5. The structural optimization method of a salt spray proof metering box according to claim 1 is characterized in that: The step of obtaining a corresponding corrosion time series based on the simulated corrosion state of each of the salt spray protection optimization metering boxes comprises: The simulation software is used to simulate the corrosion state of each of the anti-salt spray optimized metering boxes in a preset high salt spray environment. During the simulation process, the corrosion degree of each of the anti-salt spray optimized metering boxes is collected, and the corrosion degrees of each of the anti-salt spray optimized metering boxes at all collection moments are arranged in ascending order according to the time sequence of acquisition to obtain the corrosion time series of each of the anti-salt spray optimized metering boxes.

6. The structural optimization method of a salt spray proof metering box according to claim 5 is characterized in that: The method of obtaining a corresponding metering accuracy time series based on the simulated metering accuracy of each of the salt spray protection optimization metering boxes includes: During the simulation process, the simulated metering accuracy of each of the anti-salt spray optimized metering boxes is collected, and the simulated metering accuracy of each of the anti-salt spray optimized metering boxes at all collection moments is arranged in ascending order according to the time sequence of acquisition to obtain the metering accuracy time series of each of the anti-salt spray optimized metering boxes.

7. The structural optimization method of a salt spray proof metering box according to claim 1, characterized in that: The method of obtaining the optimal salt spray protection metering box based on the sorting results of all the corrosion resistance indexes includes: All the corrosion resistance indexes are sorted, and the anti-salt spray optimized metering box corresponding to the largest corrosion resistance index is used as the anti-salt spray optimal metering box.

8. A structural optimization system for a salt spray proof metering box, characterized in that: The system includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, the structural optimization method of the salt spray proof metering box according to any one of claims 1 to 7 is implemented.

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