Method and device for determining gas pipeline sample

文档序号：1829930 发布日期：2021-11-12 浏览：9次中文

阅读说明：本技术 确定输气管道样本的方法和装置 (Method and device for determining gas pipeline sample ) 是由齐昌超高健郭霄雄吴冠霖杨一骁杨航崔铭芳舒洁杜炘洁何睿李潮浪于 2020-05-11 设计创作，主要内容包括：本申请公开了一种确定输气管道样本的方法和装置,属于输气管道技术领域。所述方法包括：基于管径范围内的输气管道数量在输气管道总数量中所占比例,以及目标管径范围包括的管径与预设多个管径的交集,得到多个目标管径,基于具有目标管径且其对应的任一管壁厚度的输气管道数量,得到对应目标管壁厚度,基于每种材质的输气管道数量,得到多个目标材质,再确定样本管径、样本管壁厚度和样本材质,对各输气管道的预设内腐蚀参数的参数值进行聚类处理得到其样本参数值。通过本申请生产的样管,与实际输气管道更加接近,通过这样的样管模拟实际输气管道内腐蚀情况,且用于检测内腐蚀缺陷无损检测技术的缺陷检出率,能够得到更准确的缺陷检出率。(The application discloses a method and a device for determining a gas transmission pipeline sample, and belongs to the technical field of gas transmission pipelines. The method comprises the following steps: the method comprises the steps of obtaining a plurality of target pipe diameters based on the proportion of the number of gas transmission pipelines in a pipe diameter range in the total number of the gas transmission pipelines and the intersection of the pipe diameters included in the target pipe diameter range and a plurality of preset pipe diameters, obtaining the corresponding target pipe wall thickness based on the number of the gas transmission pipelines with the target pipe diameters and corresponding to any pipe wall thickness, obtaining a plurality of target materials based on the number of the gas transmission pipelines made of each material, determining the pipe diameters of samples, the wall thicknesses of the sample pipes and the material of the samples, and clustering the parameter values of the preset internal corrosion parameters of the gas transmission pipelines to obtain the sample parameter values of the gas transmission pipelines. Through the appearance pipe of this application production, be closer with actual gas transmission pipeline, through the actual gas transmission pipeline internal corrosion condition of such appearance pipe simulation, and be used for detecting the defect relevance ratio of internal corrosion defect nondestructive test technique, can obtain more accurate defect relevance ratio.)

1. A method of determining a gas pipeline sample, the method comprising:

determining the number of gas transmission pipelines with pipe diameters within each preset pipe diameter range in a used gas transmission pipeline set for transmitting a target medium, and determining the number of gas transmission pipelines made of each material;

for each pipe diameter range, determining the proportion of the number of the gas transmission pipelines in the pipe diameter range in the total number of the gas transmission pipelines in the gas transmission pipeline set;

determining a first preset number of target pipe diameter ranges with the maximum corresponding proportion, and determining the pipe diameters of all gas transmission pipelines in the target pipe diameter ranges;

determining the intersection of the pipe diameters of the gas transmission pipelines in the target pipe diameter range and a plurality of preset pipe diameters to obtain a plurality of target pipe diameters;

determining a second preset number of target materials with the maximum corresponding quantity;

determining a plurality of pipe wall thicknesses corresponding to each target pipe diameter based on a pre-stored corresponding relationship between the pipe diameter and the pipe wall thickness;

for each target pipe diameter, determining the number of gas transmission pipelines with the target pipe diameter and any pipe wall thickness corresponding to the target pipe diameter in the gas transmission pipeline set to obtain the number corresponding to each pipe wall thickness corresponding to the target pipe diameter, and determining the pipe wall thickness with the maximum corresponding number as the target pipe wall thickness corresponding to the target pipe diameter;

determining the sample pipe diameters, the sample pipe wall thicknesses and the sample materials of the sample pipes based on the target pipe diameters, the corresponding target pipe wall thicknesses and a second preset number of target materials;

acquiring parameter values of preset internal corrosion parameters of each gas transmission pipeline in the gas transmission pipeline set;

for each internal corrosion parameter, performing clustering processing based on a plurality of parameter values corresponding to the internal corrosion parameter, and determining central parameter values corresponding to a plurality of clustering centers;

determining sample parameter values of all preset internal corrosion parameters corresponding to each sample tube based on a plurality of central parameter values corresponding to each internal corrosion parameter;

the method comprises the following steps of obtaining sample tubes, and obtaining the defect detection rate of the internal corrosion defect nondestructive testing technology, wherein the sample tube diameter, the sample tube wall thickness, the sample material and the sample parameter value of the preset internal corrosion parameter corresponding to each sample tube are used for producing the sample tubes, and the sample tubes are used for detecting the defect detection rate of the internal corrosion defect nondestructive testing technology.

2. The method of claim 1, further comprising:

determining the number of gas transmission pipelines of each welding seam defect type in a used gas transmission pipeline set for transmitting a target medium;

determining a third preset number of target weld defect types with the maximum corresponding number;

determining sample weld defect types of a plurality of sample tubes based on the third preset number of target weld defect types;

and the sample weld defect type is used for processing the weld at the welding position between the sample tubes.

3. The method of claim 2, wherein determining a sample weld defect type for a plurality of sample tubes based on the third preset number of target weld defect types comprises:

and determining the connection sequence of the plurality of sample pipes, and randomly selecting one target weld defect type from the third preset number of target weld defect types for any two adjacent sample pipes in the connection sequence as the sample weld defect types of any two adjacent sample pipes.

4. The method according to claim 1, wherein determining the sample tube diameters, the sample tube wall thicknesses, and the sample materials of the plurality of sample tubes based on the plurality of target tube diameters, the corresponding target tube wall thicknesses, and a second preset number of target materials comprises:

determining sample tubes with the same number as the target tube diameters;

determining the sample pipe diameter of each sample pipe to be one target pipe diameter in the target pipe diameters;

determining the thickness of the sample tube wall of each sample tube as the target tube wall thickness corresponding to the sample tube diameter of the sample tube;

and for each sample tube, randomly selecting one target material from the second preset number of target materials as the sample material of the sample tube.

5. The method of claim 1, wherein the clustering, for each internal corrosion parameter, based on a plurality of parameter values corresponding to the internal corrosion parameter to obtain center parameter values corresponding to a plurality of cluster centers comprises:

and for each internal corrosion parameter, carrying out clustering processing on a plurality of parameter values corresponding to the internal corrosion parameter based on the preset clustering category number, the preset initial clustering center parameter value and the preset iteration number of the internal corrosion parameter to obtain the center parameter values corresponding to a plurality of clustering centers.

6. The method of claim 1, wherein determining the sample parameter values for all the predetermined internal corrosion parameters for each sample tube based on the plurality of central parameter values for each internal corrosion parameter comprises:

determining a plurality of parameter value combinations based on a plurality of central parameter values corresponding to each internal corrosion parameter, wherein each parameter value combination consists of one central parameter value of all internal corrosion parameters;

and for each sample tube, randomly selecting a target parameter value combination from the plurality of parameter value combinations as sample parameter values of all preset internal corrosion parameters corresponding to the sample tube.

7. The method of claim 1, wherein the predetermined internal corrosion parameters comprise: the gas transmission pipeline comprises an internal corrosion length, an internal corrosion width, an internal corrosion depth, a clock direction, an internal corrosion type and an internal corrosion projection shape.

8. An apparatus for determining a gas pipeline sample, the apparatus comprising:

the first determining module is used for determining the number of the gas transmission pipelines with the pipe diameters within each preset pipe diameter range in a used gas transmission pipeline set for conveying a target medium, and determining the number of the gas transmission pipelines made of each material;

the second determining module is used for determining the proportion of the number of the gas transmission pipelines in each pipe diameter range in the total number of the gas transmission pipelines in the gas transmission pipeline set;

the third determining module is used for determining a first preset number of target pipe diameter ranges with the maximum corresponding proportion and determining the pipe diameters of the gas transmission pipelines in the target pipe diameter ranges;

the fourth determining module is used for determining the intersection of the pipe diameters of the gas transmission pipelines in the target pipe diameter range and a plurality of preset pipe diameters to obtain a plurality of target pipe diameters;

a fifth determining module, configured to determine a second preset number of target materials with a largest corresponding quantity;

a sixth determining module, configured to determine, based on a pre-stored correspondence between pipe diameters and pipe wall thicknesses, a plurality of pipe wall thicknesses corresponding to each target pipe diameter;

a seventh determining module, configured to determine, for each target pipe diameter, in the gas transmission pipeline set, the number of gas transmission pipelines that have the target pipe diameter and have any pipe thickness corresponding to the target pipe diameter, to obtain the number corresponding to each pipe thickness corresponding to the target pipe diameter, and determine, as the target pipe thickness corresponding to the target pipe diameter, the pipe thickness with the largest corresponding number;

the eighth determining module is used for determining the sample pipe diameters, the sample pipe wall thicknesses and the sample materials of the multiple sample pipes based on the multiple target pipe diameters, the corresponding target pipe wall thicknesses and the second preset number of target materials;

the acquisition module is used for acquiring the parameter value of the preset internal corrosion parameter of each gas transmission pipeline in the gas transmission pipeline set;

a ninth determining module, configured to perform clustering processing on each internal corrosion parameter based on a plurality of parameter values corresponding to the internal corrosion parameter, and determine a center parameter value corresponding to a plurality of clustering centers;

the tenth determining module is used for determining sample parameter values of all preset internal corrosion parameters corresponding to each sample tube based on a plurality of central parameter values corresponding to each internal corrosion parameter;

9. The apparatus of claim 8, further comprising:

the eleventh determining module is used for determining the number of the gas transmission pipelines of each welding seam defect type in the used gas transmission pipeline set for transmitting the target medium;

a twelfth determining module, configured to determine a third preset number of target weld defect types with the largest corresponding number;

a thirteenth determining module, configured to determine sample weld defect types of the multiple sample tubes based on the third preset number of target weld defect types;

and the sample weld defect type is used for processing the weld at the welding position between the sample tubes.

10. The apparatus of claim 9, wherein the thirteenth determining module is configured to:

Technical Field

The application relates to the technical field of gas transmission pipelines, in particular to a method and a device for determining a gas transmission pipeline sample.

Background

In a natural gas pipeline system, a natural gas pipeline is limited by the terrain and includes a straight pipeline, a bent pipeline, and the like, and pipes such as reducing joints in the pipeline and the pipeline are prone to corrosion after long-term use. In order to ensure the gas transmission safety of the gas transmission pipeline, the internal corrosion parameter condition of the gas transmission pipeline needs to be detected in time by using an internal corrosion defect nondestructive detection technology, wherein the parameters such as the length, the depth, the clock direction and the like of the internal corrosion defect can be detected. The detection rate of the internal corrosion nondestructive detection technology is an important detection parameter, and because the internal corrosion conditions of the gas transmission pipelines are different, a detection sample needs to be manufactured to detect the detection rate of the internal corrosion defect nondestructive detection technology.

In the related art, a steel test block provided with artificial internal corrosion is generally used as a detection sample and used for detecting the detection rate of the internal corrosion defect nondestructive detection technology.

The applicant has found that there are at least the following technical problems in the related art:

the steel test block used in the method does not simulate the actual internal corrosion condition of the gas transmission pipeline, so that the defect detection rate obtained by the internal corrosion defect nondestructive testing technology is inaccurate.

Disclosure of Invention

The embodiment of the application provides a method and a device for determining a gas transmission pipeline sample, which can solve the problem of inaccurate defect detection rate obtained in the related technology. The technical scheme is as follows:

in one aspect, a method of determining a gas pipeline sample is provided, the method comprising:

determining a second preset number of target materials with the maximum corresponding quantity;

determining a plurality of pipe wall thicknesses corresponding to each target pipe diameter based on a pre-stored corresponding relationship between the pipe diameter and the pipe wall thickness;

acquiring parameter values of preset internal corrosion parameters of each gas transmission pipeline in the gas transmission pipeline set;

In one possible implementation, the method further includes:

determining the number of gas transmission pipelines of each welding seam defect type in a used gas transmission pipeline set for transmitting a target medium;

determining a third preset number of target weld defect types with the maximum corresponding number;

determining sample weld defect types of a plurality of sample tubes based on the third preset number of target weld defect types;

and the sample weld defect type is used for processing the weld at the welding position between the sample tubes.

In one possible implementation manner, the determining the sample weld defect types of the plurality of sample tubes based on the third preset number of target weld defect types includes:

In one possible implementation manner, the determining the sample pipe diameters, the sample pipe wall thicknesses, and the sample materials of the plurality of sample pipes based on the plurality of target pipe diameters, the corresponding target pipe wall thicknesses, and the second preset number of target materials includes:

determining sample tubes with the same number as the target tube diameters;

determining the sample pipe diameter of each sample pipe to be one target pipe diameter in the target pipe diameters;

determining the thickness of the sample tube wall of each sample tube as the target tube wall thickness corresponding to the sample tube diameter of the sample tube;

and for each sample tube, randomly selecting one target material from the second preset number of target materials as the sample material of the sample tube.

In a possible implementation manner, the clustering, for each internal corrosion parameter, based on a plurality of parameter values corresponding to the internal corrosion parameter, to obtain a center parameter value corresponding to a plurality of cluster centers includes:

In one possible implementation manner, the determining, based on a plurality of central parameter values corresponding to each internal corrosion parameter, sample parameter values corresponding to all preset internal corrosion parameters for each sample tube includes:

In one possible implementation, the preset internal corrosion parameters include: the gas transmission pipeline comprises an internal corrosion length, an internal corrosion width, an internal corrosion depth, a clock direction, an internal corrosion type and an internal corrosion projection shape.

In one aspect, there is provided an apparatus for determining a gas pipeline sample, the apparatus comprising:

a fifth determining module, configured to determine a second preset number of target materials with a largest corresponding quantity;

the acquisition module is used for acquiring the parameter value of the preset internal corrosion parameter of each gas transmission pipeline in the gas transmission pipeline set;

In one possible implementation, the apparatus further includes:

a twelfth determining module, configured to determine a third preset number of target weld defect types with the largest corresponding number;

a thirteenth determining module, configured to determine sample weld defect types of the multiple sample tubes based on the third preset number of target weld defect types;

and the sample weld defect type is used for processing the weld at the welding position between the sample tubes.

In one possible implementation manner, the thirteenth determining module is configured to:

In one possible implementation manner, the eighth determining module is configured to:

determining sample tubes with the same number as the target tube diameters;

determining the sample pipe diameter of each sample pipe to be one target pipe diameter in the target pipe diameters;

determining the thickness of the sample tube wall of each sample tube as the target tube wall thickness corresponding to the sample tube diameter of the sample tube;

and for each sample tube, randomly selecting one target material from the second preset number of target materials as the sample material of the sample tube.

In one possible implementation manner, the ninth determining module is configured to:

In one possible implementation manner, the tenth determining module is configured to:

The technical scheme provided by the embodiment of the application has the following beneficial effects:

according to the method provided by the embodiment of the application, the target pipe diameters are obtained through the first preset number target pipe diameter range with the largest proportion of the number of the gas transmission pipelines in the pipe diameter range to the total number of the gas transmission pipelines in the gas transmission pipeline set, and the intersection of the pipe diameters of the gas transmission pipelines in the target pipe diameter range and the preset pipe diameters. And obtaining the corresponding target pipe wall thickness through the number of the gas transmission pipelines with the target pipe diameter and any pipe wall thickness corresponding to the target pipe diameter and the number corresponding to each pipe wall thickness corresponding to the target pipe diameter. And obtaining a second preset number of target materials by using a second preset number of materials with the largest number of gas transmission pipelines of each material. And determining the sample pipe diameters, the sample pipe wall thicknesses and the sample materials of the plurality of sample pipes according to the plurality of target pipe diameters, the corresponding target pipe wall thicknesses and a second preset number of target materials. And acquiring the parameter values of the preset internal corrosion parameters of each gas transmission pipeline, and performing clustering treatment to obtain the sample parameter values of all the preset internal corrosion parameters corresponding to each sample tube. The sample pipe diameter, the sample pipe wall thickness, the sample material that this application will obtain and the sample parameter value of predetermined internal corrosion parameter for production sample pipe, such sample pipe is closer with actual gas transmission pipeline, through the actual gas transmission pipeline internal corrosion condition of such sample pipe simulation, and be used for detecting the defect relevance ratio of internal corrosion defect nondestructive test technique, thereby can obtain more accurate defect relevance ratio.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

FIG. 1 is a flow chart of a method for determining a gas pipeline sample according to an embodiment of the present disclosure;

FIG. 2 is a schematic diagram of a combined sample tube for determining a sample of a gas pipeline according to an embodiment of the present disclosure;

FIG. 3 is a schematic structural diagram of a ZG-1 straight pipe section for determining a gas pipeline sample according to an embodiment of the present application;

FIG. 4 is a schematic structural diagram of a ZG-2 straight pipe section for determining a gas pipeline sample according to an embodiment of the present application;

FIG. 5 is a schematic structural diagram of a ZG-3 straight pipe section for determining a gas pipeline sample according to an embodiment of the present application;

FIG. 6 is a schematic structural diagram of a ZG-4 straight pipe section for determining a gas pipeline sample according to an embodiment of the present application;

FIG. 7 is a schematic structural diagram of a ZG-5 straight pipe section for determining a gas pipeline sample according to an embodiment of the present application;

FIG. 8 is a schematic structural diagram of a ZG-6 straight pipe section for determining a gas pipeline sample according to an embodiment of the present application;

FIG. 9 is a schematic structural diagram of a ZG-7 straight pipe section for determining a gas pipeline sample according to an embodiment of the present application;

FIG. 10 is a schematic view of a ZG-8 straight pipe section for determining a gas pipeline sample according to an embodiment of the present application;

FIG. 11 is a schematic view of a ZG-9 straight pipe section for determining a gas pipeline sample according to an embodiment of the present application;

FIG. 12 is a schematic structural diagram of a Z-H1A straight pipe section for determining a gas pipeline sample according to an embodiment of the present disclosure;

FIG. 13 is a schematic structural diagram of a Z-H2B straight pipe segment for determining a gas pipeline sample according to an embodiment of the present disclosure;

FIG. 14 is a schematic structural diagram of a Z-H3D straight pipe segment for determining a gas pipeline sample according to an embodiment of the present disclosure;

FIG. 15 is a schematic structural diagram of a Z-H4E straight pipe segment for determining a gas pipeline sample according to an embodiment of the present disclosure;

FIG. 16 is a schematic structural diagram of a Z-H5G straight pipe section for determining a gas pipeline sample according to an embodiment of the present application;

FIG. 17 is a schematic structural diagram of a Z-V1C straight pipe section for determining a gas pipeline sample according to an embodiment of the present application;

FIG. 18 is a schematic structural diagram of a Z-V2F straight pipe section for determining a gas pipeline sample according to an embodiment of the present application;

FIG. 19 is a schematic view of a Z-W1 elbow segment for determining a gas pipeline sample according to an embodiment of the present disclosure;

FIG. 20 is a schematic view of a Z-W2 elbow segment for determining a gas pipeline sample according to an embodiment of the present disclosure;

fig. 21 is a schematic structural diagram of an apparatus for determining a gas pipeline sample according to an embodiment of the present disclosure.

Detailed Description

To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

The method provided by the embodiment of the application can be applied to the technical field of gas transmission pipelines. The method is particularly used for determining the gas transmission pipeline sample. A large number of natural gas pipeline specifications at home and abroad are taken as a data base, a gas pipeline with a universal gas pipeline specification is selected as a specification of a sample tube, wherein the gas pipeline specification comprises: pipe diameter, pipe wall thickness and material. And obtaining the pipe diameter of the sample according to the number of the gas transmission pipelines in each preset pipe diameter range and the intersection of the pipe diameter of each gas transmission pipeline included in the target pipe diameter range and a plurality of preset pipe diameters. And obtaining the thickness of the sample tube wall based on the pre-stored corresponding relationship between the tube diameter and the tube wall thickness and the number corresponding to each tube wall thickness corresponding to the tube diameter. According to the quantity of the gas transmission pipelines made of each material, the material with the maximum corresponding preset quantity is the sample material. And according to the preset internal corrosion parameter values of the gas transmission pipelines, clustering each internal corrosion parameter to obtain the sample parameter values of the preset internal corrosion parameters. And obtaining a preset number of welding seam defect types with the maximum corresponding number according to the number of the gas transmission pipelines of each welding seam defect type, wherein the preset number of welding seam defect types is the sample welding seam defect type. And finally, using the obtained sample pipe diameter, the sample pipe wall thickness, the sample material and the preset sample parameter values of the internal corrosion parameters to produce a sample pipe, simulating the internal corrosion condition of the actual gas transmission pipeline through the sample pipe, and using the sample pipe to detect the defect detection rate of the internal corrosion defect nondestructive detection technology.

Fig. 1 is a flowchart of a method for determining a gas pipeline sample according to an embodiment of the present disclosure. Referring to fig. 1, the embodiment includes:

101. and determining the number of the gas transmission pipelines with the pipe diameters within each preset pipe diameter range in the used gas transmission pipeline set for transmitting the target medium, and determining the number of the gas transmission pipelines made of each material.

102. And for each pipe diameter range, determining the proportion of the number of the gas transmission pipelines in the pipe diameter range in the total number of the gas transmission pipelines in the gas transmission pipeline set.

103. Determining a first preset number of target pipe diameter ranges with the maximum corresponding proportion, and determining the pipe diameters of the gas transmission pipelines in the target pipe diameter ranges.

104. And determining the intersection of the pipe diameter of each gas transmission pipeline included in the target pipe diameter range and a plurality of preset pipe diameters to obtain a plurality of target pipe diameters.

105. And determining a second preset number of target materials with the maximum corresponding quantity.

106. And determining a plurality of pipe wall thicknesses corresponding to each target pipe diameter based on the corresponding relationship between the pre-stored pipe diameters and the pipe wall thicknesses.

107. For each target pipe diameter, determining the number of the gas transmission pipelines with the target pipe diameter and any pipe wall thickness corresponding to the target pipe diameter in the gas transmission pipeline set, obtaining the number corresponding to each pipe wall thickness corresponding to the target pipe diameter, and determining the pipe wall thickness with the maximum corresponding number as the target pipe wall thickness corresponding to the target pipe diameter.

108. And determining the sample pipe diameters, the sample pipe wall thicknesses and the sample materials of the plurality of sample pipes based on the plurality of target pipe diameters, the corresponding target pipe wall thicknesses and a second preset number of target materials.

109. And acquiring the parameter value of the preset internal corrosion parameter of each gas transmission pipeline in the gas transmission pipeline set.

110. And for each internal corrosion parameter, performing clustering processing based on a plurality of parameter values corresponding to the internal corrosion parameter, and determining central parameter values corresponding to a plurality of clustering centers.

111. And determining sample parameter values of all preset internal corrosion parameters corresponding to each sample tube based on a plurality of central parameter values corresponding to each internal corrosion parameter.

The sample pipe diameter, the sample pipe wall thickness, the sample material and the sample parameter values of the preset internal corrosion parameters corresponding to each sample pipe are used for producing the sample pipes, and the sample pipes are used for detecting the defect detection rate of the internal corrosion defect nondestructive testing technology.

The beneficial effects brought by the technical scheme provided by the embodiment of the application at least comprise:

Fig. 1 is a flowchart of a method for determining a gas pipeline sample according to an embodiment of the present disclosure. Referring to fig. 1, the embodiment includes:

Wherein the conveying target medium is a conveying medium containing sulfur gas.

It should be noted that, taking the gas transmission pipelines used in a certain area for transporting the target medium as a set, the relevant data of the gas transmission pipelines in the set are counted, and the area is considered to represent the specifications of the gas transmission pipelines at home and abroad and the general situation of corrosion in the gas transmission pipelines.

For example, the pipe diameters and the corresponding quantities of each material of 755 gas transmission pipelines in a certain area are counted, as shown in tables 1 and 2 below, respectively, where table 1 is a table of pipe diameters, pipe diameters and pipe diameter ratios of the gas transmission pipelines in the used gas transmission pipeline set for transporting the target medium, and table 2 is a table of materials, material quantities and material ratios of the gas transmission pipelines in the used gas transmission pipeline set for transporting the target medium.

TABLE 1

As can be seen from Table 1, there are 34 kinds of pipe diameters, the pipe diameter is 58 mm at the minimum, and the pipe diameter is 610 mm at the maximum, wherein 516 gas transmission pipelines with pipe diameters less than or equal to 108 mm are provided, 181 gas transmission pipelines with pipe diameters between 108 mm and 219 mm are provided, 49 gas transmission pipelines with pipe diameters between 219 mm and 406 mm are provided, and 9 gas transmission pipelines with pipe diameters greater than 406 mm are provided.

TABLE 2

As can be seen from table 2, one of the gas pipelines has 16 pipe diameters, wherein the more materials are 20#, L245NB, L360QS, L245NCS and L360NCS, which account for 70.91%, 14.00%, 10.91%, 9.64% and 1.45% of the total number of the gas pipelines of the gas pipeline set.

As can be seen from table 1, the proportion of the number of gas transmission pipelines with pipe diameters of 108 mm or less in the total number of the gas transmission pipelines in the gas transmission pipeline set is 68%, the proportion of the number of gas transmission pipelines with pipe diameters of 108 mm to 219 mm in the total number of the gas transmission pipelines in the gas transmission pipeline set is 25%, the proportion of the number of gas transmission pipelines with pipe diameters of 219 mm to 406 mm in the total number of the gas transmission pipelines in the gas transmission pipeline set is 6%, and the proportion of the number of gas transmission pipelines with pipe diameters of 406 mm in the total number of the gas transmission pipelines in the gas transmission pipeline set is less than 1%.

The following conclusions can be drawn from step 102: in the gas transmission pipeline set, the corresponding target pipe diameter range with the largest proportion is determined to be less than or equal to 273 mm.

Wherein, a plurality of pipe diameters of presetting refer to can represent a plurality of pipe diameters of the typical pipe diameter condition of actual gas transmission pipeline, for example, typical pipe diameter includes: 89 mm, 108 mm, 159 mm, 219 mm, 273 mm 325 mm, etc.

In implementation, 89 mm, 108 mm, 159 mm, 219 mm and 273 mm are determined as target pipe diameters according to an intersection of the pipe diameters of the gas transmission pipelines included in a target pipe diameter range of 273 mm or less and a plurality of preset pipe diameters.

105. And determining a second preset number of target materials with the maximum corresponding quantity.

From table 2, it can be determined that the 5 materials with the largest number correspond to 20#, L245NB, L360QS, L245NCS and L360NCS, respectively.

In implementation, a plurality of tube wall thicknesses respectively corresponding to tube diameters of 89 mm, 108 mm, 159 mm, 219 mm and 273 mm are determined according to a pre-stored correspondence relationship between tube diameters and tube wall thicknesses, and specifically, as shown in tables 3, 4, 5, 6 and 7, where table 3 is a plurality of tube wall thickness condition tables corresponding to tube diameters of 89 mm, table 4 is a plurality of tube wall thickness condition tables corresponding to tube diameters of 108 mm, table 5 is a plurality of tube wall thickness condition tables corresponding to tube diameters of 159 mm, table 6 is a plurality of tube wall thickness condition tables corresponding to tube diameters of 219 mm, and table 7 is a plurality of tube wall thickness condition tables corresponding to tube diameters of 273 mm.

TABLE 3

TABLE 4

TABLE 5

TABLE 6

TABLE 7

In practice, as can be seen from table 3, for a pipe diameter of 89 mm, in the gas transmission pipeline set, the number of gas transmission pipelines with a pipe diameter of 89 mm and any pipe thickness corresponding to the pipe diameter of mm can be obtained, and the proportions of the number of gas transmission pipelines with pipe thicknesses of 5 mm, 6 mm, 7 mm and 8 mm in the total number of gas transmission pipelines in the gas transmission pipeline set are 35.53%, 21.63%, 20.97% and 8.26%, respectively, and 5 mm, 6 mm, 7 mm and 8 mm are taken as target pipe thicknesses corresponding to the pipe diameters of 89 mm.

In practice, as can be seen from table 4, for a pipe diameter of 108 mm, in the gas transmission pipeline set, the number of gas transmission pipelines with a pipe diameter of 89 mm and any pipe thickness corresponding to the pipe diameter of mm can be obtained, and then the proportions of the number of gas transmission pipelines with pipe thicknesses of 5 mm, 6 mm, 7 mm, 8 mm and 10 mm in the total number of gas transmission pipelines in the gas transmission pipeline set are 18.41%, 27.61%, 22.93%, 19.27% and 9.75%, respectively, and the target pipe thicknesses corresponding to the pipe diameters of 108 mm are set as 5 mm, 6 mm, 7 mm, 8 mm and 10 mm.

In practice, as can be seen from table 5, for a pipe diameter of 108 mm, in the gas transmission pipeline set, the number of gas transmission pipelines with a pipe diameter of 89 mm and any pipe thickness corresponding to the pipe diameter of mm can be obtained, and then the ratios of the number of gas transmission pipelines with pipe thicknesses of 5 mm, 6 mm, 7 mm, 8 mm and 10 mm in the total number of gas transmission pipelines in the gas transmission pipeline set are 18.41%, 27.61%, 22.93%, 19.27% and 9.75%, respectively, and the target pipe thicknesses corresponding to the pipe diameters of 108 mm are taken as 5 mm, 6 mm, 7 mm, 8 mm and 10 mm.

In practice, as can be seen from table 6, for a pipe diameter of 159 mm, in the gas transmission pipeline set, the number of gas transmission pipelines with a pipe diameter of 89 mm and any pipe thickness corresponding to the pipe diameter of mm can be obtained, and the proportions of the number of gas transmission pipelines with pipe thicknesses of 5 mm, 6 mm, 7 mm and 8 mm in the total number of gas transmission pipelines in the gas transmission pipeline set are respectively 12.92%, 38.77%, 24.52% and 18.80%, and 5 mm, 6 mm, 7 mm and 8 mm are taken as target pipe thicknesses corresponding to the pipe diameter of 159 mm.

In practice, as can be seen from table 6, for a pipe diameter of 159 mm, in the gas transmission pipeline set, the number of gas transmission pipelines with a pipe diameter of 89 mm and any pipe thickness corresponding to the pipe diameter of mm can be obtained, and the ratios of the number of gas transmission pipelines with pipe thicknesses of 6 mm, 7 mm, 8 mm, 8.8 mm and 10 mm in the total number of gas transmission pipelines in the gas transmission pipeline set are respectively 19.41%, 15.98%, 30.14%, 9.36% and 7.31%, and the target pipe thicknesses corresponding to the pipe diameters of 6 mm, 7 mm, 8 mm, 8.8 mm and 10 mm are obtained.

In practice, as can be seen from table 7, for a pipe diameter of 273 mm, in the gas transmission pipeline set, the number of gas transmission pipelines with a pipe diameter of 89 mm and any pipe thickness corresponding to the pipe diameter of mm can be obtained, and the ratios of the number of gas transmission pipelines with pipe thicknesses of 6 mm, 7 mm, 8 mm, 10 mm and 11 mm in the total number of gas transmission pipelines in the gas transmission pipeline set are respectively 13.92%, 11.39%, 21.52%, 16.46% and 12.66%, and the target pipe thicknesses corresponding to the pipe diameters of 6 mm, 7 mm, 8 mm, 10 mm and 11 mm are obtained.

In implementation, the sample tubes with the same number as the target tube diameters are determined, the sample tube diameter of each sample tube is determined to be one of the target tube diameters, the sample tube wall thickness of each sample tube is determined to be the target tube wall thickness corresponding to the sample tube diameter of the sample tube, and for each sample tube, one target material is randomly selected as the sample material of the sample tube from the second preset number of target materials.

The sample pipe mainly comprises a straight pipe section, an elbow pipe section and a welding line.

For example, as shown in table 8 below, table 8 is a table of pipe diameters and pipe wall thicknesses corresponding to respective pipe sections of a sample pipe having a sample material of 20 #. The number of the pipe sections A-G is a straight pipe section, the number of the pipe sections W1-W5 is an elbow pipe section, the number of the pipe sections BJ is a reducing pipe section, the pipe diameter is changed to 159-108 mm, and the number of the pipe sections H1-H14 is a welding line. The technician can weld and assemble the straight pipe sections a-G, the elbow pipe sections W1-W5 and the reducer pipe section BJ into a sample pipe according to the structure shown in fig. 2, in which the sample pipe may be referred to as a combined sample pipe, and fig. 2 is a schematic structural diagram of a combined sample pipe for determining a gas transmission pipeline sample according to an embodiment of the present application.

TABLE 8

In practice, the sample material can also be used for directly welding and assembling the straight sample tube.

For example, as shown in table 9 below, table 9 is a table of pipe diameter and pipe wall thickness for a sample pipe straight pipe section with a sample material of 20 #. Wherein, the numbers of the pipe sections ZG1-ZG9 are all straight pipe sections.

TABLE 9

109. And acquiring the parameter value of the preset internal corrosion parameter of each gas transmission pipeline in the gas transmission pipeline set.

Wherein the predetermined internal corrosion parameters include: the gas transmission pipeline comprises an internal corrosion length, an internal corrosion width, an internal corrosion depth, a clock direction, an internal corrosion type and an internal corrosion projection shape. For example, the internal corrosion types include sheet corrosion, irregular pits, uniform thinning, cracks, and the like, and the internal corrosion projected shapes include stripes, approximate ellipses, and the like.

In implementation, for each internal corrosion parameter, based on the preset clustering category number, the preset initial clustering center parameter value and the preset iteration number of the internal corrosion parameter, clustering processing is performed on a plurality of parameter values corresponding to the internal corrosion parameter, so as to obtain center parameter values corresponding to a plurality of clustering centers.

The preset clustering category number is the final clustering category number of multiple internal corrosion parameters, and a proper clustering category number can fully reflect the difference between different clusters, so that multiple parameter values of the internal corrosion parameters in the same cluster have similar properties. The initial cluster center parameter value refers to an initial cluster center of a plurality of internal corrosion parameters. After the clustering category number is determined, a plurality of parameter values are respectively determined as initial clustering center parameter values for a plurality of internal corrosion parameters, and the number of the parameter values is the same as the clustering category number. The iteration times refer to the times of changing the cluster centers, and when the cluster centers are not changed any more, the clustering process is ended. Clustering refers to the process of grouping a collection of abstract objects into classes composed of similar objects. The clustering method includes many kinds, such as a K-means (fast) clustering method and a Two-Step (Two-stage) clustering method, and the clustering method used in the clustering process is not limited in the embodiments of the present application.

In a possible implementation manner, for each internal corrosion parameter, after clustering processing, a center parameter value corresponding to a plurality of clustering centers can be obtained. When the sample pipe is a combined sample pipe, as shown in tables 10 to 18, table 10 is a table of cluster processing conditions of corrosion parameters in a Z-H1 a-section straight pipe section, table 11 is a table of cluster processing conditions of corrosion parameters in a Z-H2B-section straight pipe section, table 12 is a table of cluster processing conditions of corrosion parameters in a Z-H3D-section straight pipe section, table 13 is a table of cluster processing conditions of corrosion parameters in a Z-H4E-section straight pipe section, table 14 is a table of cluster processing conditions of corrosion parameters in a Z-H5G-section straight pipe section, table 15 is a table of cluster processing conditions of corrosion parameters in a Z-V1C-section straight pipe section, table 16 is a table of cluster processing conditions of corrosion parameters in a Z-V2F-section straight pipe section, table 17 is a table of cluster processing conditions of corrosion parameters in a Z-W1 elbow pipe section, and table 18 is a table of cluster processing conditions of corrosion parameters in a Z-W2 elbow section.

Watch 10

TABLE 11

TABLE 12

Watch 13

TABLE 14

Watch 15

TABLE 16

TABLE 17

Watch 18

It should be noted that, because the elbow pipe section is also susceptible to erosion of the conveying medium, the profile analysis of the internal erosion of the elbow, that is, the multiphase flow erosion wear simulation analysis, can be performed to obtain the distribution characteristics of the area where the internal erosion occurs. The simulation analysis comprises: the method comprises the following steps of simulating gas-solid two-phase erosion of the elbow under different pipe diameters, simulating gas-solid two-phase erosion of the elbow under different gathering and transportation pressures and simulating gas-liquid-solid multiphase erosion.

For example, when performing gas-solid two-phase erosion simulation on elbows with different pipe diameters, the abrasion rates of the elbows with pipe diameters of 65 mm, 80 mm, 100 mm, 125 mm and 200 mm and front and rear straight pipe sections connected with the elbows when the elbows are subjected to erosion of natural gas and a large amount of solid particles in a conveying medium can be calculated, and the flow direction of the conveying medium is a horizontal pipe, the elbows and a vertical pipe in sequence. Based on this simulation, the following conclusions can be drawn: for five simulated elbows, the upstream straight pipe section is not worn, the most worn region is positioned at the position of the outer side wall surface of the elbow close to the outlet of the elbow, the downstream straight pipe section of the elbow has sporadic worn regions, the worn regions of the outer side wall surface of the elbow are approximately symmetrically distributed along the axis and are mostly in a strip shape and a belt shape, and the direction of the worn regions is along the flowing direction of a conveying medium.

For example, when the gas-solid two-phase erosion simulation of the elbow is carried out under different gathering and transportation pressures, simulation software is used for establishing corresponding models, and the erosion and abrasion rule that a large number of solid particles impact the wall surface of the elbow when gas-solid two-phase flow media are transported is simulated by simulating gas transportation pipelines with the gathering and transportation pressures of 1.0MPa, 3.0MPa, 7.0MPa and 9.0MPa respectively. Based on this simulation, the following conclusions can be drawn: in the low-pressure gas collecting pipeline, along with the gradual increase of the collecting and conveying pressure, the total area of the elbow subjected to erosion does not change greatly, when the collecting and conveying pressure rises to 5.0MPa, the position where the maximum abrasion rate corresponds to the appearance is moved backwards to the outlet of the elbow, when the collecting and conveying pressure continues to rise to 7.0MPa or higher, the abrasion area of the elbow is changed violently, and the area subjected to serious erosion is transferred to the middle and rear part of the inner side of the elbow from the outer side wall surface.

For example, when gas-liquid-solid multiphase erosion simulation is carried out, the wear characteristics of the elbow under the conditions of different water contents in the conveying medium are simulated. Based on this simulation, the following conclusions can be drawn: under the condition of different water contents, the most serious areas of the elbow wear are all positioned at the outlet position of the outer wall surface of the elbow, and the lower the water content in the gas-liquid-solid multiphase conveying medium is, the more serious the erosion wear caused to the elbow is in the range of the water content, namely the range of the water content is 2.75-21.39%.

In a possible implementation manner, for each internal corrosion parameter, after clustering processing, a center parameter value corresponding to a plurality of clustering centers can be obtained. When the sample pipe is a straight sample pipe, as shown in tables 19 to 27, table 19 is a ZG-1-segment straight pipe section internal corrosion parameter clustering condition table, table 20 is a ZG-2-segment straight pipe section internal corrosion parameter clustering condition table, table 21 is a ZG-3-segment straight pipe section internal corrosion parameter clustering condition table, table 22 is a ZG-4-segment straight pipe section internal corrosion parameter clustering condition table, table 23 is a ZG-5-segment straight pipe section internal corrosion parameter clustering condition table, table 24 is a ZG-6-segment straight pipe section internal corrosion parameter clustering condition table, table 25 is a ZG-7-segment straight pipe section internal corrosion parameter clustering condition table, table 26 is a ZG-8-segment straight pipe section internal corrosion parameter clustering condition table, and table 27 is a ZG-9-segment straight pipe section internal corrosion parameter clustering condition table.

Watch 19

Watch 20

TABLE 21

TABLE 22

TABLE 23

Watch 24

TABLE 25

Watch 26

Watch 27

In the implementation, a plurality of parameter value combinations are determined based on a plurality of central parameter values corresponding to each internal corrosion parameter, each parameter value combination is composed of one central parameter value of all internal corrosion parameters, and for each sample tube, a target parameter value combination is randomly selected from the plurality of parameter value combinations as sample parameter values of all preset internal corrosion parameters corresponding to the sample tube. See tables 10-27 above for details, which are not repeated here.

The sample parameters of the sample tube diameter, the sample tube wall thickness, the sample material and the preset internal corrosion parameter corresponding to each sample tube obtained in the above step 101-, fig. 8 is a schematic structural diagram of a ZG-6 straight pipe section for determining a gas pipeline sample according to an embodiment of the present invention, fig. 9 is a schematic structural diagram of a ZG-7 straight pipe section for determining a gas pipeline sample according to an embodiment of the present invention, fig. 10 is a schematic structural diagram of a ZG-8 straight pipe section for determining a gas pipeline sample according to an embodiment of the present invention, fig. 11 is a schematic structural diagram of a ZG-9 straight pipe section for determining a gas pipeline sample according to an embodiment of the present invention, fig. 12 is a schematic structural diagram of a Z-H1 a straight pipe section for determining a gas pipeline sample according to an embodiment of the present invention, fig. 13 is a schematic structural diagram of a Z-H2B straight pipe section for determining a gas pipeline sample according to an embodiment of the present invention, fig. 14 is a schematic structural diagram of a Z-H3D straight pipe section for determining a gas pipeline sample according to an embodiment of the present invention, fig. 15 is a schematic structural diagram of a Z-H4E straight pipe segment for determining a gas pipeline sample according to an embodiment of the present invention, fig. 16 is a schematic structural diagram of a Z-H5G straight pipe segment for determining a gas pipeline sample according to an embodiment of the present invention, fig. 17 is a schematic structural diagram of a Z-V1C straight pipe segment for determining a gas pipeline sample according to an embodiment of the present invention, fig. 18 is a schematic structural diagram of a Z-V2F straight pipe segment for determining a gas pipeline sample according to an embodiment of the present invention, fig. 19 is a schematic structural diagram of a Z-W1 elbow pipe segment for determining a gas pipeline sample according to an embodiment of the present invention, and fig. 20 is a schematic structural diagram of a Z-W2 elbow pipe segment for determining a gas pipeline sample according to an embodiment of the present invention. The sample tube is used for simulating the actual corrosion condition in the gas transmission pipeline and detecting the defect detection rate of the internal corrosion defect nondestructive detection technology, so that the technology has better applicability in field operation.

In addition to the sample pipe diameter, the sample pipe wall thickness, the sample material and the sample parameter values of the preset internal corrosion parameters determined in the above step 101-111, because a weld exists at the welded part between the actual gas transmission pipelines, and correspondingly, a weld also exists at the welded part between the produced sample pipes, the embodiment of the present application further includes determining the sample weld defect types of the plurality of sample pipes.

In implementation, in a used gas transmission pipeline set for conveying target media, the number of gas transmission pipelines of each welding seam defect type is determined, a third preset number of target welding seam defect types with the largest number are determined, and sample welding seam defect types of a plurality of sample pipes are determined based on the third preset number of target welding seam defect types.

The sample welding line defect types comprise unfused, incomplete penetration, slag inclusion, cracks and the like, and welding positions of sample tubes are connected through welding lines.

For example, among the set of gas transmission pipelines used to transmit the target medium, the types of the target weld defects corresponding to the largest number are determined to be unfused, incomplete penetration, slag inclusion, cracks and blowholes.

In one possible implementation, the specific process of determining the sample weld defect types of the plurality of sample tubes may be: and determining the connection sequence of the plurality of sample pipes, and randomly selecting one target weld defect type from the third preset number of target weld defect types for any two adjacent sample pipes in the connection sequence as the sample weld defect types of the any two adjacent sample pipes.

For example, as shown in table 28 below, table 28 is a weld defect type combination table. A weld defect type combination may be randomly selected from table 28 as a sample weld defect type for any two adjacent sample tubes.

Watch 28

Weld numbering	Weld defect type combinations	Weld numbering	Weld defect type combinations
				H1	Lack of penetration, slag inclusion, cracks	H8	Lack of penetration and crack
H2	Non-fusion, porosity, cracks	H9	Non-fusion, cracking
				H3	Slag inclusion, porosity, lack of penetration	H10	Non-fusion, porosity, cracks
H4	Lack of penetration, pores and cracks	H11	Non-fusion, slag inclusion, cracks
				H5	Non-fusion, slag inclusion, cracks	H12	Pores, cracks, inclusions of slag
H6	Air hole and clipSlag and cracks	H13	Slag inclusion, cracks, lack of penetration
				H7	Cracks and pores	H14	Non-fusion, slag inclusion, cracks

According to the method provided by the embodiment of the application, the target pipe diameters are obtained through the first preset number target pipe diameter range with the largest proportion of the number of the gas transmission pipelines in the pipe diameter range to the total number of the gas transmission pipelines in the gas transmission pipeline set, and the intersection of the pipe diameters of the gas transmission pipelines in the target pipe diameter range and the preset pipe diameters. And obtaining the corresponding target pipe wall thickness through the number of the gas transmission pipelines with the target pipe diameter and any pipe wall thickness corresponding to the target pipe diameter and the number corresponding to each pipe wall thickness corresponding to the target pipe diameter. And obtaining a second preset number of target materials by using a second preset number of materials with the largest number of gas transmission pipelines of each material. And determining the sample pipe diameters, the sample pipe wall thicknesses and the sample materials of the plurality of sample pipes according to the plurality of target pipe diameters, the corresponding target pipe wall thicknesses and a second preset number of target materials. And acquiring the parameter values of the preset internal corrosion parameters of each gas transmission pipeline, and performing clustering treatment to obtain the sample parameter values of all the preset internal corrosion parameters corresponding to each sample tube. The sample pipe diameter, the sample pipe wall thickness, the sample material that this application will obtain and the sample parameter value of predetermined internal corrosion parameter for production sample pipe, such sample pipe is closer with actual gas transmission pipeline, through the actual gas transmission pipeline internal corrosion condition of such sample pipe simulation, and be used for detecting the defect relevance ratio of internal corrosion defect nondestructive test technique, thereby can obtain more accurate defect relevance ratio.

All the above optional technical solutions may be combined arbitrarily to form optional embodiments of the present application, and are not described herein again.

Fig. 21 is a schematic structural diagram of an apparatus for determining a gas pipeline sample according to an embodiment of the present disclosure. Referring to fig. 21, the apparatus includes:

a first determining module 2101, configured to determine, in a set of used gas transmission pipelines for transporting a target medium, the number of gas transmission pipelines with pipe diameters within each preset pipe diameter range, and determine the number of gas transmission pipelines of each material;

a second determining module 2102, configured to determine, for each pipe diameter range, a ratio of the number of gas transmission pipes in the pipe diameter range to the total number of gas transmission pipes in the gas transmission pipe set;

a third determining module 2103, configured to determine a first preset number of target pipe diameter ranges with the largest corresponding proportion, and determine pipe diameters of the gas transmission pipelines included in the target pipe diameter ranges;

a fourth determining module 2104 for determining an intersection of the pipe diameters of the gas transmission pipelines included in the target pipe diameter range and a plurality of preset pipe diameters to obtain a plurality of target pipe diameters;

a fifth determining module 2105, configured to determine a second preset number of target materials with a largest corresponding quantity;

a sixth determining module 2106, configured to determine, based on a pre-stored correspondence between pipe diameters and pipe wall thicknesses, a plurality of pipe wall thicknesses corresponding to each target pipe diameter;

a seventh determining module 2107, configured to determine, for each target pipe diameter, in the gas transmission pipeline set, the number of gas transmission pipelines having the target pipe diameter and having any pipe thickness corresponding to the target pipe diameter, to obtain the number corresponding to each pipe thickness corresponding to the target pipe diameter, and determine the pipe thickness with the largest corresponding number as the target pipe thickness corresponding to the target pipe diameter;

an eighth determining module 2108, configured to determine sample pipe diameters, sample pipe wall thicknesses, and sample materials of the multiple sample pipes based on the multiple target pipe diameters, the corresponding target pipe wall thicknesses, and a second preset number of target materials;

an obtaining module 2109, configured to obtain a parameter value of a preset internal corrosion parameter of each gas transmission pipeline in the gas transmission pipeline set;

a ninth determining module 2110 for performing clustering processing on each internal corrosion parameter based on a plurality of parameter values corresponding to the internal corrosion parameter to determine a center parameter value corresponding to a plurality of clustering centers;

a tenth determining module 2111, configured to determine, based on the plurality of central parameter values corresponding to each internal corrosion parameter, a sample parameter value corresponding to all preset internal corrosion parameters for each sample tube;

the sample pipe diameter, the sample pipe wall thickness, the sample material and the sample parameter values of the preset internal corrosion parameters corresponding to each sample pipe are used for producing the sample pipes, and the sample pipes are used for detecting the defect detection rate of the internal corrosion defect nondestructive testing technology.

In one possible implementation, the apparatus further includes:

a twelfth determining module, configured to determine a third preset number of target weld defect types with the largest corresponding number;

a thirteenth determining module, configured to determine sample weld defect types of the multiple sample tubes based on the third preset number of target weld defect types;

and the sample weld defect type is used for processing the weld at the welding position between the sample tubes.

In one possible implementation, the thirteenth determining module is configured to:

In one possible implementation, the eighth determining module 2108 is configured to:

determining sample tubes with the same number as the target tube diameters;

determining the sample pipe diameter of each sample pipe to be one target pipe diameter in the target pipe diameters;

determining the thickness of the sample tube wall of each sample tube as the target tube wall thickness corresponding to the sample tube diameter of the sample tube;

for each sample tube, randomly selecting one target material from the second preset number of target materials as the sample material of the sample tube.

In one possible implementation manner, the ninth determining module 2110 is configured to:

and for each internal corrosion parameter, based on the preset clustering category number, the preset initial clustering center parameter value and the preset iteration times of the internal corrosion parameter, clustering a plurality of parameter values corresponding to the internal corrosion parameter to obtain center parameter values corresponding to a plurality of clustering centers.

In one possible implementation, the tenth determining module 2111 is configured to:

for each sample tube, randomly selecting a target parameter value combination from the plurality of parameter value combinations as sample parameter values of all preset internal corrosion parameters corresponding to the sample tube.

In one possible implementation, the predetermined intrinsic erosion parameters include: the gas transmission pipeline comprises an internal corrosion length, an internal corrosion width, an internal corrosion depth, a clock direction, an internal corrosion type and an internal corrosion projection shape.

The device that this application embodiment provided, the number of target pipe diameter scope is preset to the first that the quantity of gas transmission pipeline through the pipe diameter within range accounts for the proportion in the gas transmission pipeline total number of gas transmission pipeline set is the biggest to and the intersection of the pipe diameter of each gas transmission pipeline that includes in the target pipe diameter scope and a plurality of pipe diameters of predetermineeing, obtain a plurality of target pipe diameters. And obtaining the corresponding target pipe wall thickness through the number of the gas transmission pipelines with the target pipe diameter and any pipe wall thickness corresponding to the target pipe diameter and the number corresponding to each pipe wall thickness corresponding to the target pipe diameter. And obtaining a second preset number of target materials by using a second preset number of materials with the largest number of gas transmission pipelines of each material. And determining the sample pipe diameters, the sample pipe wall thicknesses and the sample materials of the plurality of sample pipes according to the plurality of target pipe diameters, the corresponding target pipe wall thicknesses and a second preset number of target materials. And acquiring the parameter values of the preset internal corrosion parameters of each gas transmission pipeline, and performing clustering treatment to obtain the sample parameter values of all the preset internal corrosion parameters corresponding to each sample tube. The sample pipe diameter, the sample pipe wall thickness, the sample material that this application will obtain and the sample parameter value of predetermined internal corrosion parameter for production sample pipe, such sample pipe is closer with actual gas transmission pipeline, through the actual gas transmission pipeline internal corrosion condition of such sample pipe simulation, and be used for detecting the defect relevance ratio of internal corrosion defect nondestructive test technique, thereby can obtain more accurate defect relevance ratio.

It should be noted that: in the apparatus for determining a gas transmission pipeline sample provided in the above embodiment, when determining a gas transmission pipeline sample, only the division of the above function modules is used for illustration, and in practical applications, the function distribution may be completed by different function modules according to needs, that is, the internal structure of the apparatus is divided into different function modules, so as to complete all or part of the functions described above. In addition, the apparatus for determining a gas transmission pipeline sample and the method for determining a gas transmission pipeline sample provided in the above embodiments belong to the same concept, and specific implementation processes thereof are described in detail in the method embodiments and are not described herein again.

The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.

38页详细技术资料下载

Method and device for determining gas pipeline sample

相关技术

网友询问留言