A power grid equipment service atmospheric environment classification method, system, device and medium

Abstract

The application belongs to the technical field of power systems, and discloses a power grid equipment service atmospheric environment classification method, which comprises the following steps: determining the corrosion characteristics of power grid equipment, establishing an atmospheric-corrosion relationship model of the corrosion characteristics and atmospheric environment; according to the service performance of the power grid equipment, a performance-corrosion relationship model of the service performance and the corrosion characteristics is established; according to the atmospheric-corrosion relationship model and the performance-corrosion relationship model, an atmospheric-performance relationship model of the atmospheric environment and the service performance is established; the service performance of the on-site power grid equipment is analyzed to obtain the service performance, and the atmospheric-performance relationship model is used to analyze the service performance of the on-site power grid equipment to obtain atmospheric environment information that influences the service performance of the on-site power grid equipment; and the atmospheric environment in which the on-site power grid equipment is located is classified according to the obtained atmospheric environment information. The application can ensure that the atmospheric environment classification can effectively associate the service performance of the equipment, thereby guiding the corrosion prevention design and operation and maintenance of the equipment.

Description

Technical Field

[0001] This invention relates to the field of power system technology, and in particular to a method, system, equipment, and medium for classifying the atmospheric environment during power grid equipment operation. Background Technology

[0002] Power grid equipment is widely distributed and operates in various climatic environments across my country, inevitably suffering from atmospheric corrosion, which also varies regionally. Classifying the atmospheric environment in which power grid equipment operates and implementing differentiated operation and maintenance based on atmospheric corrosion is crucial for ensuring power grid safety and reducing maintenance costs. Currently, atmospheric corrosivity is classified using two main methods: one is based on the ISO 9223 and GB / T 19292 series standards, classifying atmospheric corrosivity into six levels (C1-CX) from weak to strong, based on the corrosion rates of four metallic materials: zinc, copper, aluminum, and carbon steel; the other is based on the characteristics of the atmospheric environment or the types of corrosive factors, classifying the atmospheric environment according to GB / T 15957 into rural atmosphere, industrial atmosphere, marine atmosphere, and urban atmosphere.

[0003] However, for in-service engineering projects, the corrosion rate of equipment materials cannot be measured, making it difficult to classify atmospheric environments according to the ISO 9223 and GB / T19292 series standards. Furthermore, the service performance of the equipment being evaluated in engineering projects is related to the corrosion development characteristics of the materials. While corrosion rates may be consistent across different environmental types, differences in corrosion products and defects (pitting, thinning, cracking) will lead to variations in service performance. Therefore, this classification method is unsuitable for guiding the evaluation of the service performance of in-service engineering equipment.

[0004] Similarly, simply categorizing atmospheric environments into rural, industrial, marine, and urban atmospheres based on corrosion factors makes it difficult to ensure consistent corrosion rates and characteristics for engineering equipment within the same environmental type. Furthermore, there are no clear boundaries between different levels of a particular type of corrosion factor; ambiguity and uncertainty are prevalent. For example, the boundaries between industrial cities and coastal rural areas are transitional, making it difficult to accurately classify environmental types and thus hindering the guidance of corrosion prevention design and operation and maintenance in engineering projects. Summary of the Invention

[0005] This invention provides a method, system, device, and medium for classifying the atmospheric environment of power grid equipment in service, which can ensure that the atmospheric environment classification can be effectively associated with the service performance of the equipment, thereby guiding the corrosion prevention design and operation and maintenance of the equipment.

[0006] To provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. This summary is not intended as a general commentary, nor is it intended to identify key / important components or to describe the scope of protection of these embodiments. Its sole purpose is to present some concepts in a simple form as a prelude to the detailed description that follows.

[0007] According to a first aspect of the present invention, a method for classifying the atmospheric environment during the service of power grid equipment is provided.

[0008] In one embodiment, the atmospheric environment classification method for the service of the power grid equipment includes:

[0009] Determine the corrosion characteristics of power grid equipment and establish an atmospheric-corrosion relationship model between corrosion characteristics and the atmospheric environment;

[0010] Based on the service performance of power grid equipment, a performance-corrosion relationship model is established between service performance and corrosion characteristics.

[0011] Based on the atmosphere-corrosion relationship model and the performance-corrosion relationship model, an atmosphere-performance relationship model is established between the atmospheric environment and service performance.

[0012] The service performance of the field power grid equipment is analyzed to obtain the service performance of the field power grid equipment. Based on the atmosphere-performance relationship model, the service performance of the field power grid equipment is analyzed to obtain atmospheric environmental information that affects the service performance of the field power grid equipment.

[0013] Based on the obtained atmospheric environment information, the atmospheric environment in which the on-site power grid equipment is located is classified.

[0014] In one embodiment, determining the corrosion characteristics of power grid equipment includes: analyzing the type and material of the power grid equipment to determine the type of corrosion occurring in the power grid equipment; and determining the corrosion characteristics included in the corrosion type based on the corrosion type.

[0015] In one embodiment, establishing an atmospheric-corrosion relationship model between corrosion characteristics and the atmospheric environment includes: analyzing the composition of the atmospheric environment to determine the atmospheric corrosion factors that affect the corrosion of power grid equipment; determining the corrosion characteristics of the power grid equipment caused by the atmospheric corrosion factors based on the atmospheric corrosion factors and the type and material of the power grid equipment; and establishing an atmospheric-corrosion relationship model between corrosion characteristics and the atmospheric environment based on the atmospheric corrosion factors and their corresponding corrosion characteristics.

[0016] In one embodiment, establishing an atmospheric-corrosion relationship model between corrosion characteristics and the atmospheric environment based on the atmospheric corrosion factors and their corresponding corrosion characteristics includes: establishing an atmospheric-corrosion relationship model between corrosion characteristics and the atmospheric environment based on mathematical relationships such as regression fitting or machine learning models such as artificial neural networks, according to the atmospheric corrosion factors and their corresponding corrosion characteristics.

[0017] In one embodiment, establishing a performance-corrosion relationship model between service performance and corrosion characteristics based on the service performance of power grid equipment includes: extracting corrosion characteristics that affect service performance based on the service performance of power grid equipment; analyzing the influence relationship between the extracted corrosion characteristics and the service performance of power grid equipment based on historical operation and maintenance data of power grid equipment; and establishing a performance-corrosion relationship model between service performance and corrosion characteristics based on the influence relationship.

[0018] In one embodiment, establishing a performance-corrosion relationship model between service performance and corrosion characteristics based on the influence relationship includes: establishing a performance-corrosion relationship model between service performance and corrosion characteristics based on mathematical formulas such as regression fitting or machine learning models such as artificial neural networks, according to the influence relationship.

[0019] In one embodiment, establishing an atmospheric-performance relationship model between atmospheric environment and service performance based on the atmospheric-corrosion relationship model and the performance-corrosion relationship model includes: establishing an atmospheric-performance relationship model between atmospheric environment and service performance based on mathematical relationships such as regression fitting or machine learning models such as artificial neural networks, according to the atmospheric-corrosion relationship model and the performance-corrosion relationship model.

[0020] According to a second aspect of the present invention, an atmospheric environment classification system for power grid equipment service is provided.

[0021] In one embodiment, the power grid equipment operates an atmospheric environmental classification system, including:

[0022] The atmosphere-corrosion relationship establishment module is used to determine the corrosion characteristics of power grid equipment and establish an atmosphere-corrosion relationship model between corrosion characteristics and the atmospheric environment.

[0023] The performance-corrosion relationship establishment module is used to establish a performance-corrosion relationship model between service performance and corrosion characteristics based on the service performance of power grid equipment.

[0024] The atmosphere-performance relationship establishment module is used to establish an atmosphere-performance relationship model between atmospheric environment and service performance based on the atmosphere-corrosion relationship model and the performance-corrosion relationship model.

[0025] The atmospheric environment information analysis module is used to analyze the service performance of field power grid equipment, obtain the service performance of field power grid equipment, and analyze the service performance of field power grid equipment based on the atmosphere-performance relationship model to obtain atmospheric environment information that affects the service performance of field power grid equipment.

[0026] The atmospheric environment classification module is used to classify the atmospheric environment in which the on-site power grid equipment is located based on the obtained atmospheric environment information.

[0027] In one embodiment, the atmosphere-corrosion relationship establishment module includes: a corrosion type determination module and a corrosion feature determination module, wherein the corrosion type determination module is used to analyze the type and material of the power grid equipment to determine the corrosion type of the power grid equipment; the corrosion feature determination module is used to determine the corrosion features included in the corrosion type based on the corrosion type.

[0028] In one embodiment, the atmosphere-corrosion relationship establishment module further includes: a factor analysis module, a feature determination module, and a first model establishment module. The factor analysis module is used to analyze the composition of the atmospheric environment and determine the atmospheric corrosion factors affecting the corrosion of power grid equipment. The feature determination module is used to determine the corrosion characteristics of the power grid equipment caused by the atmospheric corrosion factors based on the atmospheric corrosion factors and the type and material of the power grid equipment. The first model establishment module is used to establish an atmosphere-corrosion relationship model between the corrosion characteristics and the atmospheric environment based on the atmospheric corrosion factors and their corresponding corrosion characteristics.

[0029] In one embodiment, the first model building module establishes an atmospheric-corrosion relationship model between corrosion characteristics and the atmospheric environment based on the atmospheric environmental corrosion factors and their corresponding corrosion characteristics, using mathematical relationships such as regression fitting or machine learning models such as artificial neural networks.

[0030] In one embodiment, the performance-corrosion relationship establishment module includes: a feature extraction module and a second model establishment module, wherein the feature extraction module is used to extract corrosion features that affect the service performance of the power grid equipment based on the service performance of the power grid equipment; the second model establishment module is used to analyze the influence relationship between the extracted corrosion features and the service performance of the power grid equipment based on the historical operation and maintenance data of the power grid equipment, and establish a performance-corrosion relationship model between the service performance and the corrosion features based on the influence relationship.

[0031] In one embodiment, the second model building module establishes a performance-corrosion relationship model between service performance and corrosion characteristics based on the influence relationship, mathematical formulas such as regression fitting, or machine learning models such as artificial neural networks.

[0032] In one embodiment, the atmosphere-performance relationship establishment module establishes an atmosphere-performance relationship model between atmospheric environment and service performance based on the atmosphere-corrosion relationship model and the performance-corrosion relationship model, using mathematical formulas such as regression fitting or machine learning models such as artificial neural networks.

[0033] According to a third aspect of the present invention, a computer device is provided.

[0034] In some embodiments, the computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps of the method described above.

[0035] According to a fourth aspect of the present invention, a computer-readable storage medium is provided.

[0036] In one embodiment, a computer program is stored on the computer-readable storage medium, which, when executed by a processor, implements the steps of the above method.

[0037] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects:

[0038] This invention correlates corrosion characteristics with atmospheric environmental factors, and further correlates these characteristics with key service performance indicators, thereby establishing a link between atmospheric environmental corrosion factors and service performance. Through a reasonable classification of service performance changes and degradation, the atmospheric environment is ultimately categorized. This invention is more targeted and applicable to the operation and maintenance of power grid equipment, and is of great significance for understanding the service status of power grid equipment, ensuring power grid safety, and reducing life-cycle maintenance costs.

[0039] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit the invention. Attached Figure Description

[0040] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0041] Figure 1 This is a flowchart illustrating a method for classifying the atmospheric environment during the service of power grid equipment, according to an exemplary embodiment.

[0042] Figure 2 This is a schematic diagram illustrating the structure of an atmospheric environment classification system for power grid equipment in service, according to an exemplary embodiment.

[0043] Figure 3 This is a schematic diagram of the structure of a computer device according to an exemplary embodiment. Detailed Implementation

[0044] The following description and accompanying drawings fully illustrate specific embodiments described herein to enable those skilled in the art to practice them. Some embodiments may include or substitute parts and features of other embodiments. The scope of the embodiments herein encompasses the entire scope of the claims and all available equivalents thereof. Throughout this document, the terms “first,” “second,” etc., are used only to distinguish one element from another without requiring or implying any actual relationship or order between the elements. Indeed, a first element can also be referred to as a second element, and vice versa. Furthermore, the terms “comprising,” “including,” or any other variations thereof are intended to cover non-exclusive inclusion, such that a structure, apparatus, or device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a structure, apparatus, or device. Without further limitation, an element defined by the phrase “comprising one…” does not exclude the presence of other identical elements in the structure, apparatus, or device that includes said element. The various embodiments described herein are presented in a progressive manner, with each embodiment focusing on its differences from other embodiments; similar or identical parts between embodiments can be referred to interchangeably.

[0045] The terms "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer" used in this document to indicate orientations or positional relationships are based on the orientations or positional relationships shown in the accompanying drawings. They are used solely for the convenience of describing the document and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. In the description herein, unless otherwise specified and limited, the terms "installed," "connected," and "linked" should be interpreted broadly. For example, they can refer to mechanical or electrical connections, or internal connections between two elements; they can be direct connections or indirect connections through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms according to the specific circumstances.

[0046] In this document, unless otherwise stated, the term "multiple" means two or more.

[0047] In this article, the character " / " indicates that the objects before and after it are in an "or" relationship. For example, A / B means: A or B.

[0048] In this article, the term "and / or" describes an association between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or A and B.

[0049] It should be understood that although the steps in the flowchart are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order constraint on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the diagram may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.

[0050] The modules in the apparatus or system of this application can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0051] Where there is no conflict, the embodiments and features in the embodiments of the present invention can be combined with each other.

[0052] Figure 1 An embodiment of the atmospheric environment classification method for power grid equipment service of the present invention is shown.

[0053] In this optional embodiment, the atmospheric environment classification method for power grid equipment operation includes:

[0054] Step S101: Determine the corrosion characteristics of the power grid equipment and establish an atmospheric-corrosion relationship model between the corrosion characteristics and the atmospheric environment;

[0055] Step S103: Based on the service performance of the power grid equipment, establish a performance-corrosion relationship model between service performance and corrosion characteristics;

[0056] Step S105: Based on the atmosphere-corrosion relationship model and the performance-corrosion relationship model, establish an atmosphere-performance relationship model between atmospheric environment and service performance;

[0057] Step S107: Analyze the service performance of the field power grid equipment to obtain the service performance of the field power grid equipment, and analyze the service performance of the field power grid equipment based on the atmosphere-performance relationship model to obtain atmospheric environmental information that affects the service performance of the field power grid equipment.

[0058] Step S109: Based on the obtained atmospheric environment information, classify the atmospheric environment in which the on-site power grid equipment is located.

[0059] In one embodiment, when determining the corrosion characteristics of power grid equipment, the type and material of the power grid equipment can be analyzed to determine the type of corrosion occurring in the power grid equipment; then, based on the corrosion type, the corrosion characteristics included in the corrosion type can be determined. The corrosion characteristics include at least one of the following: surface composition, corrosion rate, corrosion products, corrosion potential, corrosion thinning, pitting depth, pitting density, and pitting factor.

[0060] In one embodiment, when establishing an atmospheric-corrosion relationship model between corrosion characteristics and the atmospheric environment, the composition of the atmospheric environment can be analyzed to determine the atmospheric corrosion factors that affect the corrosion of power grid equipment; and based on the atmospheric corrosion factors and the type and material of the power grid equipment, the corrosion characteristics of the power grid equipment caused by the atmospheric corrosion factors can be determined; then, based on the atmospheric corrosion factors and their corresponding corrosion characteristics, an atmospheric-corrosion relationship model between corrosion characteristics and the atmospheric environment can be established using mathematical relationships such as regression fitting or machine learning models such as artificial neural networks.

[0061] In one embodiment, when establishing a performance-corrosion relationship model between service performance and corrosion characteristics based on the service performance of power grid equipment, corrosion characteristics affecting service performance can be extracted based on the service performance of power grid equipment; and the influence relationship between the extracted corrosion characteristics and the service performance of power grid equipment can be analyzed based on the historical operation and maintenance data of power grid equipment. Then, based on the influence relationship, a performance-corrosion relationship model between service performance and corrosion characteristics can be established based on mathematical relationships such as regression fitting or machine learning models such as artificial neural networks.

[0062] In one embodiment, when establishing an atmospheric-performance relationship model between atmospheric environment and service performance based on the atmospheric-corrosion relationship model and the performance-corrosion relationship model, the atmospheric-performance relationship model between atmospheric environment and service performance can be established based on mathematical relationships such as regression fitting or machine learning models such as artificial neural networks, according to the atmospheric-corrosion relationship model and the performance-corrosion relationship model.

[0063] Figure 2 An embodiment of the atmospheric environment classification system for power grid equipment service of the present invention is shown.

[0064] In this optional embodiment, the atmospheric environment classification system for power grid equipment service includes:

[0065] Atmosphere-corrosion relationship establishment module 201 is used to determine the corrosion characteristics of power grid equipment and establish an atmosphere-corrosion relationship model between corrosion characteristics and the atmospheric environment;

[0066] The performance-corrosion relationship establishment module 203 is used to establish a performance-corrosion relationship model between service performance and corrosion characteristics based on the service performance of power grid equipment.

[0067] Atmosphere-performance relationship establishment module 205 is used to establish an atmospheric-performance relationship model between atmospheric environment and service performance based on the atmospheric-corrosion relationship model and the performance-corrosion relationship model.

[0068] The atmospheric environment information analysis module 207 is used to analyze the service performance of the field power grid equipment, obtain the service performance of the field power grid equipment, and analyze the service performance of the field power grid equipment based on the atmosphere-performance relationship model to obtain atmospheric environment information that affects the service performance of the field power grid equipment.

[0069] Atmospheric environment classification module 209 is used to classify the atmospheric environment in which the on-site power grid equipment is located based on the obtained atmospheric environment information.

[0070] In one embodiment, the atmosphere-corrosion relationship establishment module 201 includes: a corrosion type determination module (not shown in the figure), a corrosion feature determination module (not shown in the figure), a factor analysis module (not shown in the figure), a feature determination module (not shown in the figure), and a first model establishment module (not shown in the figure). The corrosion type determination module is used to analyze the type and material of the power grid equipment to determine the corrosion type occurring in the power grid equipment. The corrosion feature determination module is used to determine the corrosion features included in the corrosion type based on the corrosion type. The factor analysis module is used to analyze the composition of the atmospheric environment to determine the atmospheric environmental corrosion factors affecting the corrosion of the power grid equipment. The feature determination module is used to determine the corrosion features of the power grid equipment caused by the atmospheric environmental corrosion factors based on the atmospheric environmental corrosion factors and the type and material of the power grid equipment. The first model establishment module is used to establish an atmosphere-corrosion relationship model between corrosion features and the atmospheric environment based on the atmospheric environmental corrosion factors and their corresponding corrosion features, using mathematical relationships such as regression fitting or machine learning models such as artificial neural networks.

[0071] In one embodiment, the performance-corrosion relationship establishment module 203 includes: a feature extraction module (not shown in the figure) and a second model establishment module (not shown in the figure), wherein the feature extraction module is used to extract corrosion features that affect the service performance of the power grid equipment based on the service performance of the power grid equipment; the second model establishment module is used to analyze the influence relationship between the extracted corrosion features and the service performance of the power grid equipment based on the historical operation and maintenance data of the power grid equipment, and establish a performance-corrosion relationship model between service performance and corrosion features based on the influence relationship, using mathematical formulas such as regression fitting or machine learning models such as artificial neural networks.

[0072] In one embodiment, the atmosphere-performance relationship establishment module 205 establishes an atmosphere-performance relationship model between atmospheric environment and service performance based on the atmosphere-corrosion relationship model and the performance-corrosion relationship model, using mathematical formulas such as regression fitting or machine learning models such as artificial neural networks.

[0073] To better understand the above technical solutions of the present invention, the following detailed description of the above technical solutions of the present invention is provided through specific types and examples.

[0074] In practical applications, the classification methods differ depending on the type of material and its varying corrosion characteristics. Commonly used metal materials for power grid equipment include carbon steel, galvanized steel, aluminum alloys, and stainless steel. The following sections will provide further explanations based on these metal materials.

[0075] (1) Carbon steel and galvanized steel both exhibit uniform corrosion in different environmental types. Their main applications in power grid equipment include towers and structural supports, with mechanical properties being the primary performance characteristic. Therefore, atmospheric environment classification is based on the changes in mechanical properties caused by atmospheric corrosion. For galvanized steel, corrosion of the zinc coating is considered not to affect its mechanical properties; only corrosion reaching the steel substrate will affect its mechanical properties. Therefore, the atmospheric environment classification method is consistent for both carbon steel and galvanized steel.

[0076] In power grids, the tensile strength of carbon steel / galvanized steel is used as the main performance indicator. Because it is characterized by uniform corrosion in different atmospheric environments, its corrosion characteristics and defects are characterized by thinning of the material thickness due to corrosion.

[0077] First, corrosion data and corresponding atmospheric environmental data for carbon steel / galvanized steel components were obtained through experiments. Correlation analysis was used to screen major atmospheric corrosion factors, and the relationship between these factors and corrosion thinning of carbon steel / galvanized steel was established, creating relationship curves or mathematical models. Second, based on corrosion thinning and corresponding tensile test results, the correlation between thickness corrosion thinning and tensile strength was established. Third, combining the above two correlations, the correlation between atmospheric corrosion factors and service performance was established. Finally, based on the service performance requirements of towers and supports for carbon steel and galvanized steel, and using anti-corrosion maintenance cycles of ≤5 years, 5-10 years, 10-15 years, and ≥15 years as the basis, the atmospheric environment was classified into four categories.

[0078] (2) Aluminum alloys and stainless steel: Aluminum alloys and stainless steel are mainly corroded by pitting corrosion in the atmospheric environment. In power grid equipment, the main service performance of aluminum alloys is electrical conductivity, while that of stainless steel is mechanical properties. Therefore, aluminum alloys are classified according to the changes in their electrical conductivity caused by atmospheric corrosion, and stainless steel is classified according to the changes in its mechanical properties.

[0079] First, corrosion data for aluminum alloys and stainless steel, along with corresponding atmospheric environmental data, were obtained through experiments. Correlation analysis was used to screen the main atmospheric corrosion factors. The relationship between these atmospheric corrosion factors and pitting corrosion in aluminum alloy / stainless steel components was established, including pitting depth, pitting density, and pitting coefficient. Relationship curves or mathematical models between these factors and these parameters were then developed. Second, the electrical resistance of aluminum alloy components was measured using the bridge method; the mechanical properties of stainless steel components were tested using tensile tests. The correlation between pitting defects and the electrical resistance of aluminum alloy components and the mechanical properties of stainless steel components was established. Third, the two correlations were combined to establish the correlation between atmospheric corrosion factors and the service performance of aluminum alloy / stainless steel. Finally, based on the service performance requirements of towers and support structures for carbon steel and galvanized steel, and using anti-corrosion maintenance cycles of ≤10 years, 10-20 years, and ≥20 years as the basis, the atmospheric environment was classified into three categories.

[0080] Taking the steel structure of a carbon steel substation in Shandong Province as an example, the process for classifying atmospheric environment based on service performance is as follows:

[0081] Step 1: Based on corrosion data from 28 environmental monitoring stations in Shandong Province and on-site carbon steel components, atmospheric environmental factors were screened, and the correlation between carbon steel corrosion loss and atmospheric environmental factors was established.

[0082] The random forest algorithm was used to analyze the correlation weights between atmospheric environmental factors and the corrosion and thinning of carbon steel. Based on the random forest variable weight analysis results, the main environmental factors affecting the corrosion of carbon steel were sea salt particles, wetting time, sulfation rate, testing station, and testing cycle. These main environmental factors can be further simplified to sea salt particles, wetting time, and sulfation rate.

[0083] Establish quantitative relationships:

[0084] γ = 0.4795[SO2] 0.6082 [Tow] 0.3397 +0.3229[Cl - ] 0.2999 [Tow] 0.3853 +0.0006[Tow] 0.4793

[0085] Wherein, γ represents corrosion loss in μm / a; [SO2] represents annual average SO2 concentration in μg / m³. 3 ;[Cl - [Represents annual average Cl] - Deposition rate, unit mg / (m 2 .d); [TOW] represents wetting time, h.

[0086] The second step is to conduct tensile tests on the samples retrieved from the site to test their mechanical properties and correlate them with corrosion thinning to establish the relationship between thickness corrosion thinning and tensile strength.

[0087] y = 0.0207 + 0.0002γ × a

[0088] Where: y represents the percentage decrease in tensile strength; γ represents the average corrosion loss in μm / a; and a represents the service life.

[0089] Step 3: Based on the above results, the atmospheric environmental factors were correlated with the decrease in tensile strength.

[0090] y=0.0207+0.0002a{0.4795[SO2] 0.6082 [Tow] 0.3397 +0.3229[Cl - ] 0.2999 [Tow] 0.3853 +0.00

[0091] 06[Tow] 0.4793}

[0092] Where: y represents the percentage decrease in tensile strength; γ represents corrosion loss in μm; [SO2] represents the annual average SO2 concentration in μg / m³. 3 ;[Cl - [Represents annual average Cl] - Deposition rate, unit mg / (m 2 .d); [TOW] represents wetting time, h; a represents service life.

[0093] Finally, based on design requirements, the safety factor for the steel frame is 2, meaning corrosion failure will only occur when the tensile strength decreases by 50%. We set 'a' to 5 years, 10 years, and 15 years respectively, and substituted them into the correlation formula between atmospheric environmental factors and tensile strength reduction. Then, we substituted the environmental data from 28 stations in Shandong to classify the atmospheric environment at these 28 stations. Specifically, when 'a' = 5, if the y value obtained from substituting the environmental data from each station is ≥ 50, it is classified as Class 1 atmospheric environment, with the most severe corrosion; when 'a' = 10, if the y value obtained from substituting the environmental data from each station is ≥ 50, it is classified as Class 2 atmospheric environment, with relatively severe corrosion; when 'a' = 15, if the y value obtained from substituting the environmental data from each station is ≥ 50, it is classified as Class 3 atmospheric environment, with moderate corrosion; and when 'a' = 15, if the y value obtained from substituting the environmental data from each station is < 50, it is classified as Class 4 atmospheric environment, with slight corrosion.

[0094] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 3As shown, the computer device includes a processor, memory, and a network interface connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database stores static and dynamic information data. The network interface communicates with external terminals via a network connection. When the computer program is executed by the processor, it implements the steps in the above method embodiments.

[0095] Those skilled in the art will understand that Figure 3 The structure shown is merely a block diagram of a portion of the structure related to the present invention and does not constitute a limitation on the computer device to which the present invention is applied. A specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0096] In one embodiment, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above method embodiments.

[0097] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the steps in the above method embodiments.

[0098] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the methods described above. Any references to memory, storage, databases, or other media used in the embodiments provided by this invention can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical storage, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0099] This invention is not limited to the structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this invention is limited only by the appended claims.

Claims

1. A method for classifying the atmospheric environment during the service of power grid equipment, characterized in that, include: Determine the corrosion characteristics of power grid equipment and establish an atmospheric-corrosion relationship model between corrosion characteristics and the atmospheric environment; Based on the service performance of power grid equipment, a performance-corrosion relationship model is established between service performance and corrosion characteristics. Based on the atmosphere-corrosion relationship model and the performance-corrosion relationship model, an atmosphere-performance relationship model is established between the atmospheric environment and service performance. The service performance of the field power grid equipment is analyzed to obtain the service performance of the field power grid equipment. Based on the atmosphere-performance relationship model, the service performance of the field power grid equipment is analyzed to obtain atmospheric environmental information that affects the service performance of the field power grid equipment. Based on the obtained atmospheric environment information, the atmospheric environment in which the on-site power grid equipment is located is classified. Among them, determining the corrosion characteristics of power grid equipment includes: Analyze the types and materials of power grid equipment to determine the types of corrosion occurring in the equipment; Based on the corrosion type, determine the corrosion characteristics included in the corrosion type; Establishing an atmosphere-corrosion relationship model between corrosion characteristics and the atmospheric environment includes: The composition of the atmospheric environment is analyzed to identify the atmospheric corrosion factors that affect the corrosion of power grid equipment; Based on the atmospheric environmental corrosion factors and the type and material of the power grid equipment, the corrosion characteristics of the power grid equipment caused by the atmospheric environmental corrosion factors are determined. Based on the atmospheric corrosion factors and their corresponding corrosion characteristics, an atmospheric-corrosion relationship model between corrosion characteristics and the atmospheric environment is established. Based on the service performance of power grid equipment, a performance-corrosion relationship model is established, which includes the following: Based on the service performance of power grid equipment, extract the corrosion characteristics that affect the service performance; Based on historical operation and maintenance data of power grid equipment, the influence of extracted corrosion characteristics on the service performance of power grid equipment is analyzed, and a performance-corrosion relationship model between service performance and corrosion characteristics is established based on the aforementioned influence relationship.

2. The atmospheric environment classification method for power grid equipment operation according to claim 1, characterized in that, Based on the aforementioned atmospheric corrosion factors and their corresponding corrosion characteristics, an atmospheric-corrosion relationship model is established between corrosion characteristics and the atmospheric environment, including: Based on the atmospheric corrosion factors and their corresponding corrosion characteristics, an atmospheric-corrosion relationship model between corrosion characteristics and the atmospheric environment is established using regression fitting mathematical formulas or artificial neural network machine learning models.

3. The atmospheric environment classification method for power grid equipment operation according to claim 1, characterized in that, Based on the aforementioned influencing relationships, a performance-corrosion relationship model is established, which includes: Based on the aforementioned influence relationship, a performance-corrosion relationship model is established based on regression fitting mathematical formulas or artificial neural network machine learning models, which is used to determine the relationship between service performance and corrosion characteristics.

4. The atmospheric environment classification method for power grid equipment operation according to claim 1, characterized in that, Based on the atmosphere-corrosion relationship model and the performance-corrosion relationship model, the atmosphere-performance relationship model between atmospheric environment and service performance is established as follows: Based on the atmosphere-corrosion relationship model and the performance-corrosion relationship model, an atmosphere-performance relationship model is established based on regression fitting mathematical formulas or artificial neural network machine learning models.

5. A classification system for atmospheric environment during power grid equipment operation, characterized in that, include: The atmosphere-corrosion relationship establishment module is used to determine the corrosion characteristics of power grid equipment and establish an atmosphere-corrosion relationship model between corrosion characteristics and the atmospheric environment. The performance-corrosion relationship establishment module is used to establish a performance-corrosion relationship model between service performance and corrosion characteristics based on the service performance of power grid equipment. The atmosphere-performance relationship establishment module is used to establish an atmosphere-performance relationship model between atmospheric environment and service performance based on the atmosphere-corrosion relationship model and the performance-corrosion relationship model. The atmospheric environment information analysis module is used to analyze the service performance of field power grid equipment, obtain the service performance of field power grid equipment, and analyze the service performance of field power grid equipment based on the atmosphere-performance relationship model to obtain atmospheric environment information that affects the service performance of field power grid equipment. The atmospheric environment classification module is used to classify the atmospheric environment in which the on-site power grid equipment is located based on the obtained atmospheric environment information. The atmospheric-corrosion relationship establishment module includes: a corrosion type determination module and a corrosion characteristic determination module, wherein... The corrosion type determination module is used to analyze the type and material of power grid equipment and determine the type of corrosion that occurs in the power grid equipment; A corrosion feature determination module is used to determine the corrosion features included in the corrosion type based on the corrosion type. The atmospheric-corrosion relationship establishment module further includes: a factor analysis module, a feature determination module, and a first model establishment module, wherein, The factor analysis module is used to analyze the composition of the atmospheric environment and identify atmospheric corrosion factors that affect the corrosion of power grid equipment. The feature determination module is used to determine the corrosion characteristics of the power grid equipment caused by the atmospheric environmental corrosion factors based on the atmospheric environmental corrosion factors and the type and material of the power grid equipment. The first model building module is used to establish an atmospheric-corrosion relationship model between corrosion characteristics and the atmospheric environment based on the atmospheric corrosion factors and their corresponding corrosion characteristics. The performance-corrosion relationship establishment module includes: a feature extraction module and a second model establishment module, wherein, The feature extraction module is used to extract corrosion features that affect the service performance of power grid equipment. The second model building module is used to analyze the impact of extracted corrosion characteristics on the service performance of power grid equipment based on historical operation and maintenance data of power grid equipment, and to establish a performance-corrosion relationship model between service performance and corrosion characteristics based on the impact relationship.

6. The atmospheric environment classification system for power grid equipment service according to claim 5, characterized in that, The first model building module establishes an atmospheric-corrosion relationship model between corrosion characteristics and the atmospheric environment based on the atmospheric environmental corrosion factors and their corresponding corrosion characteristics, using regression fitting mathematical relationships or artificial neural network machine learning models.

7. The atmospheric environment classification system for power grid equipment service according to claim 5, characterized in that, The second model building module establishes a performance-corrosion relationship model between service performance and corrosion characteristics based on the aforementioned influence relationship, using regression fitting mathematical formulas or artificial neural network machine learning models.

8. The atmospheric environment classification system for power grid equipment service according to claim 5, characterized in that, The atmospheric-performance relationship establishment module establishes an atmospheric-performance relationship model based on the atmospheric-corrosion relationship model and the performance-corrosion relationship model, using regression fitting mathematical formulas or artificial neural network machine learning models.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method of any one of claims 1 to 4.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method of any one of claims 1 to 4.

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