Method and system for evaluating failure possibility of pipeline evaluation area

Abstract

The invention discloses a method and system for evaluating the failure possibility of a pipeline evaluation area, and the method comprises the following steps: obtaining an index evaluation result of each failure possibility of each pipeline in a gas pipe network, the index evaluation result comprising an index type and an evaluation result; dividing the pipelines with the same index type and corresponding to the same evaluation result into one group to obtain a plurality of pipeline classification groups; extracting spatial data information of each pipeline in each pipeline classification group, and aggregating the spatial data information by using a spatial function to obtain spatial information of the pipeline classification groups; and performing DE-9IM spatial topological relation comparison on the spatial information of the evaluation unit and the spatial information of each pipeline classification group, and taking an index evaluation result corresponding to the successfully compared pipeline classification group as an index evaluation result of the evaluation unit. According to the method, the space function is used for replacing the processes of pipeline traversal in the evaluation unit and index library comparison and judgment, so that the computing resources are saved, and the computing efficiency is improved.

Description

Technical Field

[0001] This invention belongs to the field of gas pipeline monitoring technology, and in particular relates to a method and system for assessing the possibility of failure in a pipeline evaluation area. Background Technology

[0002] Gas pipeline networks are a major component of urban public infrastructure, forming a complex and vast gas transmission and distribution system. Safe and stable operation has always been the goal of gas pipeline network operation and management. Risk assessment-based pipeline integrity management can bring pipeline network operation closer to achieving these goals.

[0003] Pipeline integrity management is an effective means of ensuring the safe operation of gas pipeline networks. Internationally, regulations and standards have been established for urban gas integrity management, and integrity management is considered a primary means of controlling gas pipeline network risks. In recent years, domestic gas companies have also conducted research and practice on gas pipeline network integrity management, achieving phased progress. By implementing targeted detection, monitoring, risk assessment, and integrity evaluation of urban gas pipeline networks, risk control can be achieved, promoting the safe operation of urban gas pipeline networks.

[0004] Failure probability refers to the identification and assessment of potential pipeline failures, and is a crucial aspect of pipeline integrity management. Failure probability can be caused by a variety of factors, such as design flaws, manufacturing defects, corrosion, external damage, and improper operation. Effective pipeline integrity management requires a comprehensive analysis and assessment of all factors that could lead to pipeline failure. This includes reviewing historical data on pipeline design, manufacturing, construction, operation, and maintenance, as well as conducting regular pipeline inspections and monitoring to promptly identify and address potential safety hazards.

[0005] An evaluation unit refers to the division of a gas pipeline network into several independent evaluation areas during pipeline integrity assessment; each area is called an evaluation unit. Dividing the network into evaluation units is for better assessment and management of pipeline integrity. Each evaluation unit can be selected and divided based on the actual conditions of the pipeline, such as pipeline length, geographical location, and operating conditions.

[0006] The existing method involves calculating the failure probability index for each individual pipeline, then sequentially iterating through the calculation results of each pipeline and its probability index library within the evaluation unit, and finally summarizing the calculations to obtain the final evaluation result for the evaluation unit. Its shortcomings are: firstly, the large scale and complex structure of urban gas pipeline networks result in numerous failure probability indicators, leading to high calculation complexity; secondly, errors in the evaluation results require checking each pipeline individually, making it difficult to attribute the cause; and finally, it results in high computational resource consumption and long processing time. Summary of the Invention

[0007] The technical problem to be solved by the present invention is to provide a method and system for assessing the possibility of failure in a pipeline evaluation area, which addresses the shortcomings of the prior art. Compared with the prior art, the method uses a spatial function to replace the process of traversing the pipeline within the evaluation unit and comparing and judging the index library, thereby reducing the computational complexity and number of calculations, facilitating error attribution, and ultimately reducing the consumption of computing resources and the time spent on computation, thus significantly improving computational efficiency.

[0008] The first aspect of this invention discloses a method for assessing the probability of failure in a pipeline evaluation area, comprising the following steps: Step 1: Obtain the evaluation results of each failure probability index for each pipeline in the gas pipeline network. The evaluation results include the index type and the evaluation result. Step 2: Group pipelines with the same index type and corresponding evaluation results into a group to obtain multiple pipeline classification groups; Step 3: Extract spatial data information for each pipe in each pipe classification group, and aggregate it using spatial functions to obtain the spatial information of the pipe classification group; Step 4: Compare the spatial information of the evaluation unit with the spatial information of each pipeline classification group using DE-9IM spatial topology. Use the evaluation results of the indicators corresponding to the pipeline classification groups that are successfully matched as the evaluation results of the evaluation unit. The evaluation unit refers to dividing the gas pipeline network into several independent evaluation areas, each of which is called an evaluation unit.

[0009] The method for assessing the probability of failure in the pipeline evaluation area described above, step 1 further includes assigning the assessment result of each failure probability index of each pipeline as an attribute value to the pipeline.

[0010] The above-mentioned method for assessing the probability of failure in the pipeline evaluation area also includes step 5: generating an index library that summarizes the index evaluation results of the entire gas pipeline network based on the index evaluation results of each evaluation unit.

[0011] A second aspect of this invention discloses a system for assessing the probability of failure in a pipeline evaluation area, comprising: The acquisition module is used to acquire the index assessment results of each failure probability of each pipeline in the gas pipeline network. The index assessment results include the index type and the assessment result. The segmentation module is used to group pipelines with the same index type and corresponding evaluation results into a group, resulting in multiple pipeline classification groups; The spatial information generation module is used to extract spatial data information for each pipe in each pipe classification group, aggregate it using spatial functions, and obtain the spatial information of the pipe classification group. The comparison module is used to compare the spatial information of the evaluation unit with the spatial information of each pipeline classification group using DE-9IM spatial topology. The evaluation results of the indicators corresponding to the pipeline classification groups that are successfully compared are used as the evaluation results of the evaluation unit. The evaluation unit refers to dividing the gas pipeline network into several independent evaluation areas, each of which is called an evaluation unit.

[0012] The aforementioned pipeline evaluation system for assessing the probability of failure in the evaluation area also includes an assignment module, which assigns the assessment results of each failure probability index of each pipeline as an attribute value to the pipeline.

[0013] The aforementioned pipeline evaluation system for assessing the probability of failure in the evaluation area includes a summary module, which generates an index library summarizing the index evaluation results of the entire gas pipeline network based on the index evaluation results of each evaluation unit.

[0014] A third aspect of the present invention discloses an electronic device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the pipeline evaluation region failure probability assessment method described in the first aspect.

[0015] The fourth aspect of the present invention discloses a computer storage medium storing computer-executable instructions, which, when executed by a processor, perform the method for assessing the probability of failure of a pipeline evaluation region as described in the first aspect.

[0016] Compared with the prior art, the present invention has the following advantages: by aggregating the index calculation results into the pipeline spatial information and using the DE-9IM spatial function to perform failure probability assessment calculation, the present invention can simplify the calculation process, reduce the calculation complexity and number of calculations, save computing resources and improve calculation efficiency.

[0017] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0018] Figure 1 This is a flowchart of the method in Example 1.

[0019] Figure 2 This is a schematic diagram showing the calculation results for the obtained pipeline index types.

[0020] Figure 3 A schematic diagram showing the grouping of pipelines according to the evaluation results of indicators.

[0021] Figure 4 A schematic diagram of spatial information aggregation for pipeline classification groups.

[0022] Figure 5 This is a schematic diagram illustrating the evaluation results of the unit indicators.

[0023] Figure 6 This is a system architecture diagram for Example 2. Detailed Implementation

[0024] Example 1 like Figure 1 As shown, a method for assessing the probability of failure in a pipeline evaluation area includes the following steps: Step 1: Obtain the evaluation results of each failure probability index for each pipeline in the gas pipeline network. The evaluation results include the index type and the evaluation result. Indicator types include design defects, manufacturing defects, corrosion, external damage, improper operation, etc., and evaluation results include whether they will cause failure or not. Here, it is assumed that the failure probability index types for each pipeline are Classification 1.1 and Classification 1.2 (assuming the calculation results for the two index categories are T and F, respectively). The index calculation results for pipelines P1–P10 are as follows: Figure 2 : It should be noted that the pipeline failure probability calculation is based on existing technology, and the calculation results are T and F, respectively. T represents a low probability of pipeline failure and the pipeline is in a compliant state, while F represents a high probability of pipeline failure and the pipeline is in a non-compliant state. Pipeline failure probability calculation, for example: Paper: Failure Probability Analysis of Buried Gas Pipelines Based on Risk Detection (Tianjin University of Technology, Authors: Chen Weike and Ma Faping). For example: Invention Patent Application No.: CN202110053495.4 Risk Assessment System and Method for Urban Gas Pipelines Based on AHP-Entropy Weight Method; Those skilled in the art can easily set the pipeline failure probability calculation results as T and F based on existing pipeline failure probability calculation methods.

[0025] After obtaining the index type and evaluation results of the pipeline, the evaluation results of each failure probability index for each pipeline are assigned as pipeline attributes.

[0026] Step 2: Group pipelines with the same indicator type and corresponding evaluation results into multiple pipeline classification groups; the grouping results are as follows: Figure 3 As shown, it is divided into 4 groups; Step 3: Extract spatial data information for each pipe in each pipe classification group, aggregate it using spatial functions, and obtain the spatial information GEOM for the pipe classification group; aggregate the spatial information of pipes in the same group according to the grouping results to obtain the spatial information of the four groups, as shown in the figure. Figure 4 As shown; It should be noted that the spatial data extracted for each pipeline consists of the spatial coordinates (x1, y1, z1) at the beginning of the pipeline and the spatial coordinates (x2, y2, z2) at the end of the pipeline. The spatial information of the pipeline classification group refers to the set of spatial data of all pipelines in that group; for example, if the pipeline classification group is classification 1.1-T, then its spatial information is the set of spatial data of pipelines P1, P4, P7, P8, and P10. Step 4: Compare the spatial information of the evaluation unit with the spatial information of each pipeline classification group using DE-9IM spatial topology. Use the evaluation results of the indicators corresponding to the pipeline classification groups that are successfully matched as the evaluation results of the evaluation unit. The evaluation unit refers to dividing the gas pipeline network into several independent evaluation areas, each of which is called an evaluation unit; The spatial information of an evaluation unit refers to the collection of spatial data information of all pipelines within the evaluation unit; for example, if the evaluation unit is a high-pressure metal evaluation area, then the spatial information data is the collection of spatial data information of pipelines P1, P2, and P3. DE-9IM spatial topological relationship comparison, using current technology, allows the relationship between geometric objects a and b to be represented by a 3×3 array:

[0027] Here, 'a' represents the spatial information of the evaluation unit, and 'b' represents the spatial information of the pipeline classification group. 'dim()' is the dimension of the intersecting part: 0 for points, 1 for lines, 2 for surfaces, and -1 for non-intersecting parts. Assuming DE-9IM(a,b) calculates to the string 21210121-1, where 0, 1, and 2 represent intersections (replaced with J), this string can be updated to JJJJJJJJ-1, where -1 represents non-intersecting parts (replaced with K). The final result is JJJJJJJJK. In this embodiment, only line intersections are considered J, i.e., 1 in the string is J, and the rest are K. Therefore, if the string is 212101212, the result is KJKJKJKJK. Based on the calculation results, determine which pipeline classification group under the same indicator has a high degree of overlap with the spatial information of the evaluation unit (overlap can be measured by the number of J, the specific number can be determined according to the situation, or the one with the highest number of J can be directly used as the overlap standard). The pipeline classification group with the high overlap is the pipeline classification group that has been successfully matched, and the corresponding indicator evaluation result of the pipeline classification group is used as the indicator evaluation result of the evaluation unit. For example, if the pipeline classification group that has been successfully matched in indicator classification 1.2 is classification 1.2-F instead of classification 1.2-T, then the pipeline failure probability result of the evaluation unit in indicator classification 1.2 is F. As another example, if the pipeline classification group that has been successfully matched in indicator classification 1.1 is classification 1.1-T instead of classification 1.1-F, then the pipeline failure probability result of the evaluation unit in indicator classification 1.1 is T. Step 5: Based on the evaluation results of each evaluation unit, generate an index library that summarizes the evaluation results of the entire gas pipeline network.

[0028] It should be noted that when generating an index library that summarizes the index evaluation results of the entire gas pipeline network based on the index evaluation results of each evaluation unit, the index evaluation results of the gas pipeline network divided into several evaluation units are recorded as a first-level directory, and the index evaluation results of each pipeline under the evaluation unit are recorded as a second-level directory. Here, pipes of the same material are used as the same evaluation unit, and there are high-pressure metal evaluation units, medium-pressure metal evaluation units, and medium-pressure non-metal evaluation units. The spatial information of the aggregated index scores is compared with the spatial information of the evaluation units using DE-9IM spatial topology. The evaluation results of the successfully compared indexes are used as the evaluation results of the evaluation units.

[0029] Finally, the scores of the evaluation units are processed and summarized to calculate the final failure probability of all evaluation units in the gas pipeline network. (See below.) Figure 5 As shown, the failure probability result of the high-pressure metal evaluation unit in index category 1.1 is F, and the failure probability result in category 1.2 is T. The failure probability result of the medium-pressure metal evaluation unit in index category 1.1 is F, and the failure probability result in category 1.2 is F. The failure probability result of the medium-pressure non-metal evaluation unit in index category 1.1 is T, and the failure probability result in category 1.2 is T.

[0030] Determine whether the number of failure probability results F obtained by the evaluation units in the gas pipeline network exceeds a set threshold. If it exceeds the threshold, the failure probability result of all evaluation units in the gas pipeline network is F; otherwise, it is T.

[0031] It should be noted that DE-9IM, short for Dimensionally Extended nine-Intersection Model, is a set of topological models developed by the OGC (Open Geospatial Consortium) for spatial queries, used to describe the spatial relationship between two geometric figures. By separately determining the exterior, boundary, and interior of two geometric figures, a 3x3 intersection matrix is ​​formed; this matrix is ​​the DE-9IM model, also known as the nine-intersection model.

[0032] Spatial information, a geographic information data structure, also known as GEOM, contains latitude and longitude coordinate data of geometric figures such as points, lines, and polygons.

[0033] Example 2 like Figure 6 As shown, a system for assessing the probability of failure in a pipeline evaluation area includes: The acquisition module is used to acquire the index assessment results of each failure probability of each pipeline in the gas pipeline network. The index assessment results include the index type and the assessment result. The segmentation module is used to group pipelines with the same index type and corresponding evaluation results into a group, resulting in multiple pipeline classification groups; The spatial information generation module is used to extract spatial data information for each pipe in each pipe classification group, aggregate it using spatial functions, and obtain the spatial information of the pipe classification group. The comparison module is used to compare the spatial information of the evaluation unit with the spatial information of each pipeline classification group using DE-9IM spatial topology. The evaluation results of the indicators corresponding to the pipeline classification groups that are successfully compared are used as the evaluation results of the evaluation unit. The evaluation unit refers to dividing the gas pipeline network into several independent evaluation areas, each of which is called an evaluation unit.

[0034] In this embodiment, an assignment module is also included, which is used to assign the evaluation results of each failure probability index of each pipeline as the pipeline attribute.

[0035] In this embodiment, the aggregation module is used to generate an index library that summarizes the index evaluation results of the entire gas pipeline network based on the index evaluation results of each evaluation unit.

[0036] The pipeline evaluation area failure probability assessment system provided in this embodiment has the same implementation principle and technical effect as the method embodiment provided in Embodiment 1. For the sake of brevity, any parts not mentioned in the system embodiment can be referred to the corresponding content in Embodiment 1.

[0037] Example 3 An electronic device includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the pipeline evaluation area failure probability assessment method described in Embodiment 1.

[0038] Example 4 A computer storage medium storing computer-executable instructions, which, when executed by a processor, perform the method for assessing the probability of failure in the pipeline evaluation area as described in Example 1.

[0039] The above description is merely a preferred embodiment of the present invention and does not constitute any limitation on the present invention. Any simple modifications, alterations, or equivalent structural changes made to the above embodiments based on the technical essence of the present invention shall still fall within the protection scope of the present invention.

Claims

1. A method for assessing the probability of failure in a pipeline evaluation area, characterized in that, Includes the following steps: Step 1: Obtain the evaluation results of each failure probability index for each pipeline in the gas pipeline network. The evaluation results include the index type and the evaluation result. Step 2: Group pipelines with the same index type and corresponding evaluation results into a group to obtain multiple pipeline classification groups; Step 3: Extract spatial data information for each pipe in each pipe classification group, and aggregate it using spatial functions to obtain the spatial information of the pipe classification group; Step 4: Compare the spatial information of the evaluation unit with the spatial information of each pipeline classification group using DE-9IM spatial topology. Use the evaluation results of the indicators corresponding to the pipeline classification groups that are successfully matched as the evaluation results of the evaluation unit. The evaluation unit refers to dividing the gas pipeline network into several independent evaluation areas, each of which is called an evaluation unit.

2. The method for assessing the probability of failure in a pipeline evaluation area according to claim 1, characterized in that, Step 1 further includes assigning the evaluation results of each failure probability index of each pipeline as a pipeline attribute value to the pipeline.

3. The method for assessing the probability of failure in a pipeline evaluation area according to claim 1, characterized in that, It also includes step 5, which generates an index library summarizing the index evaluation results of the entire gas pipeline network based on the index evaluation results of each evaluation unit.

4. A system for assessing the probability of failure in a pipeline evaluation area, characterized in that, include: The acquisition module is used to acquire the index assessment results of each failure probability of each pipeline in the gas pipeline network. The index assessment results include the index type and the assessment result. The segmentation module is used to group pipelines with the same index type and corresponding evaluation results into a group, resulting in multiple pipeline classification groups; The spatial information generation module is used to extract spatial data information for each pipe in each pipe classification group, aggregate it using spatial functions, and obtain the spatial information of the pipe classification group. The comparison module is used to compare the spatial information of the evaluation unit with the spatial information of each pipeline classification group using DE-9IM spatial topology. The evaluation results of the indicators corresponding to the pipeline classification groups that are successfully compared are used as the evaluation results of the evaluation unit. The evaluation unit refers to dividing the gas pipeline network into several independent evaluation areas, each of which is called an evaluation unit.

5. The pipeline evaluation area failure probability assessment system according to claim 4, characterized in that, It also includes an assignment module, which assigns the evaluation results of each failure probability index of each pipeline as a pipeline attribute to the pipeline.

6. The pipeline evaluation area failure probability assessment system according to claim 4, characterized in that, The summary module is used to generate an index library that summarizes the index evaluation results of the entire gas pipeline network based on the index evaluation results of each evaluation unit.

7. An electronic device, characterized in that, include: At least one processor; And a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the method for assessing the probability of failure of the pipeline evaluation area according to any one of claims 1-4.

8. A computer storage medium, characterized in that, The computer storage medium stores computer-executable instructions, which, when executed by a processor, perform the method for assessing the probability of failure in the pipeline evaluation area as described in any one of claims 1-4.

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