A method for optimizing corrosion protection of gas pipelines

Abstract

The present invention relates to the technical field of pipeline anti-corrosion, and specifically to an anti-corrosion optimization method for a gas pipeline. After the gas pipeline is installed, the reference image data of the gas pipeline is first read and the reference image data of the gas pipeline is saved. After the gas pipeline is put into operation for a preset time period, the actual image data of the gas pipeline is compared with the reference image data. If the comparison result between the actual image data and the reference image data conforms to a first type, the position conforming to the first type is marked as a first danger zone. At this time, a first processing program is used to process the first danger zone of the gas pipeline to prevent the soil from covering up the corrosion defects of the gas pipeline. Under the action of the first processing program, the first danger zone is clarified, thereby improving the accuracy of image detection, and then realizing accurate optimization of the gas pipeline.

Description

Technical Field

[0001] The invention relates to the technical field of pipeline anti-corrosion, and in particular to an anti-corrosion optimization method for a gas pipeline. Background Art

[0002] The long-term, safe and stable operation of gas pipelines is of vital importance. When transporting gas over long distances, gas pipelines are usually installed in an environment where the soil in a humid environment tends to have different pH values. When the soil comes into contact with the gas pipeline, it will corrode the gas pipeline. Gas pipeline corrosion may cause the wall of the gas pipeline to become thinner and its strength to decrease, increasing the risk of bursting and leakage. Once a leakage occurs, it may cause serious accidents such as fire and explosion, threatening the safety of life and property.

[0003] In the prior art, for example, a Chinese invention patent with authorization announcement number CN115899595B discloses a smart gas pipeline anti-corrosion optimization method, an Internet of Things system, and a storage medium. In the public document, inspection data of gas pipelines in a gas pipeline network is obtained, and the inspection data includes gas monitoring data; based on the inspection data, the corrosion condition of the pipe wall of the gas pipeline is determined; based on the corrosion condition of the pipe wall, a repair plan is determined. However, in the actual inspection process of the gas pipeline, since the gas pipeline is directly laid in the external environment, and the soil in the external environment may present different colors in different environments, when the soil is attached to the outer surface of the gas pipeline, the soil is easy to cover up the corrosion defects of the gas pipeline, resulting in inaccurate inspection data, and then resulting in the inability to accurately repair the gas pipeline in subsequent processing. Summary of the invention

[0004] The present invention provides a gas pipeline anti-corrosion optimization method to solve the problem that the existing gas pipeline anti-corrosion optimization method cannot accurately optimize the gas pipeline.

[0005] A method for optimizing the corrosion resistance of a gas pipeline of the present invention adopts the following technical solution:

[0006] A method for optimizing corrosion protection of a gas pipeline, comprising:

[0007] Get the soil color in the laying environment;

[0008] Pre-treat the color of the outer surface of each section of the gas pipeline;

[0009] Acquire reference image data of the outer surface of the gas pipeline, and store the acquired image data;

[0010] Acquire actual image data of the outer surface of the gas pipeline after the gas pipeline is put into use for a preset period of time;

[0011] Comparing the actual image data with the reference image data based on the first parameter, marking the location where the comparison result meets the first type as a first dangerous area, and executing the first processing procedure to process the gas pipeline;

[0012] The first parameter at least includes color.

[0013] Furthermore, the first processing procedure includes:

[0014] Setting a first reference plane for data acquisition;

[0015] Acquire first data of a distance between a first reference plane and a surface of a gas pipeline that is not in a first hazardous area;

[0016] Acquire second data of the distance between the first reference plane and the surface of the first dangerous area;

[0017] If the first data is less than or equal to the second data, executing the first repair procedure to repair the gas pipeline;

[0018] If the first data is greater than the second data, a first identification procedure is executed to identify the first dangerous area.

[0019] Furthermore, the first identification procedure includes:

[0020] Acquire third data of the distance between the first reference plane and the surface of the gas pipeline in the first dangerous area;

[0021] If the first data is less than the third data, executing the first repair procedure to repair the gas pipeline;

[0022] If the first data is equal to the third data, the first cleaning procedure is executed to clean the gas pipeline.

[0023] Furthermore, the first repair procedure includes:

[0024] Perform the second cleaning procedure to clean the gas pipeline;

[0025] If the difference between the first data and the third data is within a first preset interval, the first solution is executed to repair the gas pipeline;

[0026] If the difference between the first data and the third data is greater than the maximum value of the first preset interval, the second solution is executed to repair the gas pipeline;

[0027] If the difference between the first data and the third data is smaller than the minimum value of the first preset interval, the third solution is executed to repair the gas pipeline.

[0028] Furthermore, both the first solution and the second solution are used to restore the actual image data of the gas pipeline to the reference image data.

[0029] Furthermore, the third solution is used to perform repairs with minimal maintenance costs.

[0030] Further, the actual image data is compared with the reference image data based on the second parameter, a location where the comparison result meets the second type is marked as a second dangerous area, and a second processing procedure is executed to process the gas pipeline;

[0031] The second parameter at least includes surface integrity.

[0032] Furthermore, the second processing procedure includes:

[0033] A second repair procedure is performed to repair a second hazardous area of ​​the gas pipeline.

[0034] Furthermore, the actual image data is compared with the reference image data based on the second parameter, the position where the comparison result meets the third type is marked as a third dangerous area, and the third processing procedure is executed to process the gas pipeline.

[0035] Further, the corrosion degree of each position of the gas pipeline is obtained, and the corrosion rate of each position of the gas pipeline within a preset time period is analyzed;

[0036] Obtain the extreme value of the corrosion rate of the gas pipeline;

[0037] The preset time is adjusted according to the maximum corrosion rate of the gas pipeline.

[0038] The beneficial effects of the present invention are as follows: a method for optimizing the corrosion prevention of a gas pipeline of the present invention first obtains the soil color in the laying diameter according to the laying plan of the gas pipeline. The color of the soil in different laying environments is different, and the main reason is that the content of components in the soil is different. When the gas pipeline is produced, the outer surface color of the gas pipeline is pre-processed according to the soil color of the laying environment to ensure that the color of the outer surface of the gas pipeline is significantly different from the soil color. When the image of the outer surface of the gas pipeline is obtained, the gas pipeline can be quickly distinguished from the soil, thereby improving the efficiency of image processing. After the gas pipeline is installed, the reference image data of the gas pipeline is first read, and the reference image data of the gas pipeline is saved. After the gas pipeline is put into operation for a preset period of time, the actual image data of the gas pipeline is compared with the reference image data. If the comparison result between the actual image data and the reference image data conforms to the first type, the position conforming to the first type is marked as a first danger zone. At this time, the first danger zone of the gas pipeline is processed using the first processing program to prevent the soil from covering up the corrosion defects of the gas pipeline. Under the action of the first processing program, the first danger zone is clarified, thereby improving the accuracy of image detection, and then realizing accurate optimization of the gas pipeline. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0040] Figure 1 A flow chart of a gas pipeline anti-corrosion optimization method provided by an embodiment of the present invention;

[0041] Figure 2 A flowchart of a first processing procedure in a method for optimizing corrosion prevention of a gas pipeline provided by an embodiment of the present invention;

[0042] Figure 3 A flowchart of a first identification procedure in a gas pipeline anti-corrosion optimization method provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below through embodiments and in conjunction with the accompanying drawings. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0044] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities may be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0045] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, or it can be an electrical, mechanical or other form of connection.

[0046] like Figure 1 As shown, an anti-corrosion optimization method for a gas pipeline provided by an embodiment of the present invention comprises the following steps:

[0047] S1, obtaining the soil color in the laying environment. Specifically, before the gas pipeline is laid, the gas pipeline has a detailed laying plan. Since the gas pipeline is laid over a long distance, the environment along which the gas pipeline passes is different, and the content of various components in the soil in different environments is different, resulting in different colors of the soil in different environments. In this embodiment, the soil color in the laying environment can be obtained through aerial photography.

[0048] S2, pre-treat the color of the outer surface of each section of the gas pipeline. Specifically, in the process of producing the gas pipeline, in order to facilitate transportation and installation, the gas pipeline is usually processed into a fixed length. When the gas pipeline is laid, multiple sections of the gas pipeline are assembled on site, wherein two adjacent gas pipelines are connected by welding to ensure that the gas pipeline has good sealing. Due to color differences in the laying environment, when producing the gas pipeline, different colors of paint are applied to the outer surface of the gas pipeline, and when laying, gas pipelines that are different from the environment are selected for laying, so as to distinguish the gas pipeline from the environmental soil. In other embodiments, a developer is coated on the outer surface of the gas pipeline, and the developer can be different from the color in the laying environment.

[0049] S3, obtain the reference image data of the outer surface of the gas pipeline, and store the obtained image data. Specifically, after the gas pipeline is laid, the image data of the outer surface of the gas pipeline is first obtained, and the image data of the outer surface of the gas pipeline can be obtained by aerial photography. At this time, the image data is uncorroded image data, and the initially obtained image data is defined as the reference image data, and the obtained reference image data is transmitted to the image processor, the image processor processes the reference image data, the image processor divides the reference image data into blocks, and marks the reference image data after the blocks with serial numbers.

[0050] S4, obtaining actual image data of the outer surface of the gas pipeline after the gas pipeline is put into use for a preset period of time. Specifically, after the gas pipeline is put into use for a preset period of time, the gas pipeline may suffer from corrosion in different situations in the natural environment. At this time, the actual image data of the outer surface of the gas pipeline is obtained again. The actual image data can be obtained by aerial photography. The actual aerial photography data obtained is transmitted to the image processor again. The image processor will process the actual image data again, that is, the image processor divides the actual image data into blocks and marks the actual image data after the blocks with serial numbers again.

[0051] S5, based on the first parameter, the actual image data is compared with the reference image data, and the position where the comparison result meets the first type is marked as the first dangerous area, and the first processing program is executed to process the gas pipeline. Specifically, after the actual image data is transmitted to the image processor, the image processor divides the actual image data into blocks and marks the serial number, wherein the mode and rule of the image processor for dividing the actual image data into blocks are consistent with the mode and rule of the image processor for dividing the reference image data into blocks, and each block of the actual image data always has a reference image data corresponding to it. In this embodiment, the first parameter at least includes color, and the first type is the color difference at the same position of the gas pipeline. Since the color of the outer surface of the gas pipeline and the color in the environmental soil are set to different colors during installation, if there is a difference in color between the actual image data and the reference image data, the image processor marks the position where the difference exists as the first dangerous area. At this time, the staff needs to execute the first processing program to process the gas pipeline according to the signal marked by the image processor. By clarifying the position of the first dangerous area, the accuracy of the gas pipeline processing is improved, thereby improving the efficiency of the gas pipeline processing.

[0052] The present invention provides a method for optimizing the corrosion prevention of a gas pipeline. First, the laying plan of the gas pipeline is followed to obtain the soil color in the laying diameter. The soil color in different laying environments is different, and the main reason is that the content of components in the soil is different. When the gas pipeline is produced, the outer surface color of the gas pipeline is pre-processed according to the soil color of the laying environment to ensure that the color of the outer surface of the gas pipeline is significantly different from the soil color. When the image of the outer surface of the gas pipeline is obtained, the gas pipeline can be quickly distinguished from the soil, thereby improving the efficiency of image processing. After the gas pipeline is installed, the reference image data of the gas pipeline is first read and the reference image data of the gas pipeline is saved. After the gas pipeline is put into operation for a preset period of time, the actual image data of the gas pipeline is compared with the reference image data. If the comparison result between the actual image data and the reference image data meets the first type, the position meeting the first type is marked as the first dangerous area. At this time, the first dangerous area of ​​the gas pipeline is processed using the first processing program to prevent the soil from covering up the corrosion defects of the gas pipeline. Under the action of the first processing program, the first dangerous area is clarified, thereby improving the accuracy of image detection, and then realizing accurate optimization of the gas pipeline.

[0053] In one embodiment, if Figure 2 As shown, the first processing procedure includes the following steps:

[0054] S51, setting a first reference plane for data acquisition. Specifically, the first reference plane is parallel to the plane where the axis of the gas pipeline is located. In a natural environment, soil generally only remains above a circular pipeline. Therefore, when setting the first reference plane, the first reference plane is set above the gas pipeline.

[0055] S52, obtaining first data of the distance between the first reference plane and the surface of the gas pipeline in the non-first hazardous area; specifically, in the process of data acquisition, the data is usually acquired with the aid of a drone, a distance detector is installed on the drone, and the drone flies along the first reference plane to ensure sufficient accuracy when acquiring data. The first data refers to the distance between the first reference plane and the outer surface of the gas pipeline in the non-first hazardous area, wherein the non-first hazardous area is further defined as a gas pipeline that is not corroded, to ensure that the first data is acquired with sufficient accuracy.

[0056] S53, obtaining second data of the distance between the first reference plane and the surface of the first dangerous area. Specifically, the requirements for obtaining the second data are consistent with the requirements for obtaining the first data, ensuring that the obtained second data is sufficiently accurate. The surface of the first dangerous area refers to the surface of the soil covering the gas pipeline, and the second data refers to the distance between the surface of the soil and the first reference plane.

[0057] S54, if the first data is less than or equal to the second data, the first repair program is executed to repair the gas pipeline. Specifically, if the first data is less than the second data, it proves that there is a depression on the surface of the gas pipeline, and the soil does not completely cover the depression; if the first data is equal to the second data, it proves that there is a depression on the surface of the gas pipeline, and the soil just covers the depression. This situation proves that the surface of the gas pipeline has been corroded. At this time, the first repair program is executed to repair the gas pipeline to prevent the soil from continuing to corrode the gas pipeline.

[0058] S55, if the first data is greater than the second data, the first identification program is executed to identify the first dangerous area. Specifically, if the first data is greater than the second data, the only point that can be proved is that soil is accumulated on the surface of the gas pipeline, but it is impossible to distinguish whether the soil corrodes the gas pipeline. At this time, the first identification program is executed to identify the first dangerous area, thereby increasing the level of detail of processing the first dangerous area.

[0059] In one embodiment, if Figure 3 As shown, the first identification procedure includes the following steps:

[0060] S551, obtain the third data of the distance between the first reference plane and the surface of the gas pipeline in the first dangerous area. Specifically, in the process of data acquisition, it is usually acquired with the help of a drone, an ultrasonic detector is installed on the drone, the drone flies along the first reference plane, and the ultrasonic detector can penetrate the soil covering the surface of the gas pipeline. By using the ultrasonic detector, it can be ensured that the data is acquired with sufficient accuracy. The third data refers to the distance between the first reference plane and the outer surface of the gas pipeline in the first dangerous area, that is, the distance between the first reference plane and the outer surface of the gas pipeline in the soil-covered area.

[0061] S552, if the first data is less than the third data, the first repair program is executed to repair the gas pipeline. Specifically, if the first data is less than the third data, it proves that there is a depression on the surface of the gas pipeline, and too much soil is accumulated at the depression, which further proves that the surface of the gas pipeline has been corroded. At this time, the first repair program is executed to repair the gas pipeline to prevent the soil from further corroding the gas pipeline. Repairing the gas pipeline through the first repair program can restore the original safety of the gas pipeline.

[0062] S553, if the first data is equal to the third data, the first cleaning procedure is executed to clean the gas pipeline. Specifically, if the first data is equal to the third data, it proves that there is no depression on the surface of the gas pipeline, and the soil is accumulated on the surface of the gas pipeline, which further proves that the surface of the gas pipeline is not corroded. At this time, the first cleaning procedure is executed to clean the gas pipeline, so as to clean the soil on the gas pipeline and prevent the soil from corroding the gas pipeline.

[0063] In one embodiment, the first repair procedure includes the following steps:

[0064] S561, execute the second cleaning procedure to clean the gas pipeline. Specifically, before repairing the gas pipeline, first execute the second cleaning procedure to clean the gas pipeline to ensure that there is no soil on the outer surface of the gas pipeline when repairing the gas pipeline, thereby improving the quality of the gas pipeline repair.

[0065] S562, if the difference between the first data and the third data is within the first preset interval, the first solution is executed to repair the gas pipeline. Specifically, in this embodiment, the first preset interval is set as an interval range, wherein the first preset interval has a maximum value and a minimum value, and the first preset interval is a parameter set manually. If the difference between the first data and the third data is within the first preset interval, it proves that the gas pipeline is corroded to a certain extent, but the remaining wall thickness of the gas pipeline can allow normal gas transportation, and the first solution is executed for the gas pipeline.

[0066] S563, if the difference between the first data and the third data is greater than the maximum value of the first preset interval, the second solution is executed to repair the gas pipeline. Specifically, if the difference between the first data and the third data is greater than the maximum value of the first preset interval, it proves that the gas pipeline is seriously corroded and the remaining wall thickness of the gas pipeline is insufficient to safely transport gas. At this time, the second solution needs to be executed on the gas pipeline.

[0067] S564, if the difference between the first data and the third data is less than the minimum value of the first preset interval, the third solution is executed to repair the gas pipeline. Specifically, if the difference between the first data and the third data is less than the minimum value of the first preset interval, it proves that the gas pipeline is slightly corroded, and the remaining wall thickness of the gas pipeline is sufficient to transport gas normally. At this time, the third solution is executed for the gas pipeline.

[0068] In one embodiment, both the first scheme and the second scheme are used to repair the actual image data of the gas pipeline to the reference image data. In this embodiment, the first scheme can be an additive repair procedure, in which the staff performs additive repair in the first dangerous area of ​​the gas pipeline to ensure that the wall thickness of the gas pipeline after the additive repair can be restored to the initial state, wherein the additive repair procedure also includes repainting the gas pipeline at the additive position, wherein the color of the repaint is consistent with the color of the surrounding gas pipelines, so that the image data acquired again can be consistent with the reference image data. The second scheme can be a replacement procedure, in which the staff replaces the severely corroded gas pipeline. When replacing the gas pipeline, first stop the gas pipeline from transporting gas, and extract the gas in the gas pipeline, then cut the gas pipeline section where the first dangerous area is located, and weld the new gas pipeline in the pipeline, so that the image data acquired again can be consistent with the reference image data.

[0069] In one embodiment, the third solution is used to repair with minimal maintenance cost. In this embodiment, in this embodiment, the third solution can be a painting procedure, that is, the staff sprays paint in the first dangerous area of ​​the gas pipeline. By spraying paint on the first dangerous area, the corrosion resistance of the first dangerous area can be improved. At this time, the color of the paint on the first dangerous area is consistent with the color around the first dangerous area. At this time, the wall thickness of the gas pipeline in the first dangerous area is different from the wall thickness of the normal gas pipeline. When acquiring image data, the image processor can specially mark the first dangerous area in this state to facilitate the processing of the image data again. In other embodiments, the third solution can also be a laminating procedure, that is, the staff sticks a film of transparent material on the surface of the gas pipeline.

[0070] In one embodiment, the first cleaning procedure can be to use a cleaning trolley to move along the gas pipeline, for example, a blower is provided on the cleaning trolley, and another example is provided on the cleaning trolley to provide a cleaning brush. The cleaning trolley can move along the gas pipeline, and the cleaning trolley is started when it moves into the first dangerous area to ensure that the soil on the surface of the gas pipeline can be cleaned.

[0071] In one embodiment, the second cleaning procedure is consistent with the first cleaning procedure, and both the first cleaning procedure and the second cleaning procedure are used to clean the outer surface of the gas pipeline.

[0072] In one embodiment, the actual image data is compared with the reference image data based on the second parameter, and the position where the comparison result meets the second type is marked as the second dangerous area, and the second processing procedure is executed to process the gas pipeline; wherein the second parameter includes at least the surface integrity. In this embodiment, the second type is the difference in surface integrity at the same position of the gas pipeline. Since the gas pipeline is initially a smooth surface, once the surface integrity of the gas pipeline changes, it proves that the outer surface of the gas pipeline is corroded. At this time, the image processor can directly obtain whether the gas pipeline is corroded. The image processor can continue to mark the corroded area. At this time, the staff needs to execute the second processing procedure to process the gas pipeline according to the signal marked by the image processor. By clarifying the position of the second dangerous area, the accuracy of the gas pipeline processing is improved.

[0073] In one embodiment, the second processing procedure includes the following steps:

[0074] The second repair program is executed to repair the second dangerous area of ​​the gas pipeline. Specifically, the second repair program has the same logic as the first repair program. Under the action of the second repair program, an appropriate repair method can be selected in the second dangerous area according to the depth of corrosion of the gas pipeline, thereby improving the efficiency of repairing the gas pipeline.

[0075] In one embodiment, the actual image data is compared with the reference image data based on the second parameter, and the position where the comparison result meets the third type is marked as the third dangerous area, and the third processing program is executed to process the gas pipeline. In this embodiment, the third type is that the surface integrity of the same position of the gas pipeline is the same. Since the gas pipeline is initially a smooth surface, if the surface integrity of the gas pipeline has not changed, it proves that the outer surface of the gas pipeline has not been corroded. At this time, the image processor can continue to mark the uncorroded area. At this time, the staff needs to execute the third processing program to process the gas pipeline according to the signal marked by the image processor. At this time, the third processing program is not to process the gas pipeline.

[0076] In one embodiment, the anti-corrosion optimization method for a gas pipeline further includes the following steps:

[0077] The degree of corrosion at each location of the gas pipeline is obtained, and the corrosion rate at each location of the gas pipeline within a preset time period is analyzed. Specifically, when repairing the gas pipeline, the degree of corrosion at each location of the gas pipeline is already clear, and the corrosion rate at each location of the gas pipeline can be obtained in combination with the length of the preset time period.

[0078] The extreme value of the corrosion rate of the gas pipeline is obtained. Specifically, since the degree of corrosion at each position of the gas pipeline is different, the corrosion rates at different positions of the gas pipeline within the preset time are different. At this time, the corrosion rates at different positions of the gas pipeline within the preset time are compared and analyzed, so as to obtain the maximum and minimum values ​​of the corrosion rates at different positions of the gas pipeline within the preset time.

[0079] The length of the preset time is adjusted according to the maximum value of the corrosion rate of the gas pipeline. Specifically, the most severely corroded position in the gas pipeline can directly affect the safety of the entire gas pipeline for gas transportation, that is, the maximum value of the corrosion rate of different positions of the gas pipeline within the preset time period can directly affect the transportation of gas. By adjusting the length of the preset time according to the maximum value of the corroded plastic of the gas pipeline, it is avoided that the difference between the first data and the third data of the corrosion of the gas pipeline is greater than the maximum value of the first preset interval, that is, it is avoided to replace the gas pipeline, thereby improving the service life of the gas pipeline.

[0080] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards of relevant countries and regions.

[0081] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application 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, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, etc., but are not limited to this.

[0082] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0083] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for optimizing the corrosion resistance of a gas pipeline, characterized in that: include: Get the soil color in the laying environment; Pre-treat the color of the outer surface of each section of the gas pipeline; Acquire reference image data of the outer surface of the gas pipeline, and store the acquired image data; Acquire actual image data of the outer surface of the gas pipeline after the gas pipeline is put into use for a preset period of time; The actual image data is compared with the reference image data based on the first parameter, the position where the comparison result meets the first type is marked as the first dangerous area, and the first processing procedure is executed to process the gas pipeline; wherein the first parameter at least includes color; the first type is the color difference at the same position of the gas pipeline; The first processing procedure includes: Setting a first reference plane for data acquisition; Acquire first data of a distance between a first reference plane and a surface of a gas pipeline that is not in a first hazardous area; Acquire second data of the distance between the first reference plane and the surface of the first dangerous area; If the first data is less than or equal to the second data, executing the first repair procedure to repair the gas pipeline; If the first data is greater than the second data, a first identification procedure is executed to identify the first dangerous area.

2. The anti-corrosion optimization method for a gas pipeline according to claim 1, characterized in that: The first identification procedure includes: Acquire third data of the distance between the first reference plane and the surface of the gas pipeline in the first dangerous area; If the first data is less than the third data, executing the first repair procedure to repair the gas pipeline; If the first data is equal to the third data, the first cleaning procedure is executed to clean the gas pipeline.

3. The anti-corrosion optimization method for a gas pipeline according to claim 1, characterized in that: The first fix includes: Perform the second cleaning procedure to clean the gas pipeline; If the difference between the first data and the third data is within a first preset interval, the first solution is executed to repair the gas pipeline; If the difference between the first data and the third data is greater than the maximum value of the first preset interval, the second solution is executed to repair the gas pipeline; If the difference between the first data and the third data is smaller than the minimum value of the first preset interval, the third solution is executed to repair the gas pipeline.

4. The anti-corrosion optimization method for a gas pipeline according to claim 3 is characterized in that: Both the first solution and the second solution are used to restore the actual image data of the gas pipeline to the reference image data.

5. The anti-corrosion optimization method for a gas pipeline according to claim 3 is characterized in that: The third option is to repair it with minimal maintenance cost.

6. The anti-corrosion optimization method for a gas pipeline according to claim 1, characterized in that: Comparing the actual image data with the reference image data based on the second parameter, marking the position where the comparison result meets the second type as a second dangerous area, and executing the second processing procedure to process the gas pipeline; The second parameter at least includes surface integrity; the second type is the surface integrity difference at the same position of the gas pipeline; The second processing procedure includes: A second repair procedure is performed to repair a second hazardous area of ​​the gas pipeline.

7. The anti-corrosion optimization method for a gas pipeline according to claim 6, characterized in that: The actual image data is compared with the reference image data based on the second parameter, and the location where the comparison result meets the third type is marked as a third dangerous area, and the third processing procedure is executed to process the gas pipeline; the third type is that the surface integrity of the same location of the gas pipeline is the same; the third processing procedure is not to process the gas pipeline.

8. A method for optimizing the corrosion resistance of a gas pipeline according to any one of claims 1 to 7, characterized in that: Obtain the degree of corrosion at each location of the gas pipeline, and analyze the corrosion rate at each location of the gas pipeline within a preset time period; Obtain the extreme value of the corrosion rate of the gas pipeline; The preset time is adjusted according to the maximum corrosion rate of the gas pipeline.

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