CN113485984A - Gas pipeline state data processing method and system - Google Patents

Gas pipeline state data processing method and system Download PDF

Info

Publication number
CN113485984A
CN113485984A CN202110631067.5A CN202110631067A CN113485984A CN 113485984 A CN113485984 A CN 113485984A CN 202110631067 A CN202110631067 A CN 202110631067A CN 113485984 A CN113485984 A CN 113485984A
Authority
CN
China
Prior art keywords
data
distance
key point
batch
gas pipeline
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202110631067.5A
Other languages
Chinese (zh)
Inventor
刘传庆
樊栓狮
杨光
张�浩
吕达
单克
韩金珂
徐后佳
付扬威
董松
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Deep Combustion Gas Technology Research Institute
South China University of Technology SCUT
Shenzhen Gas Corp Ltd
Original Assignee
Shenzhen Deep Combustion Gas Technology Research Institute
South China University of Technology SCUT
Shenzhen Gas Corp Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Deep Combustion Gas Technology Research Institute, South China University of Technology SCUT, Shenzhen Gas Corp Ltd filed Critical Shenzhen Deep Combustion Gas Technology Research Institute
Priority to CN202110631067.5A priority Critical patent/CN113485984A/en
Publication of CN113485984A publication Critical patent/CN113485984A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/21Design, administration or maintenance of databases
    • G06F16/215Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply

Abstract

The invention discloses a method and a system for processing state data of a gas pipeline, wherein the method comprises the following steps: obtaining key point data of multiple batches of gas pipelines; determining the position data of the key points of each batch according to the key point data, and determining the distance between the same key points in different batches; and performing data alignment processing on the key points according to the distance. The method aligns the key characteristic points of the pipeline, is favorable for determining missing detection and false detection, and is favorable for realizing defect matching and monitoring the state of the pipeline.

Description

Gas pipeline state data processing method and system
Technical Field
The invention relates to the technical field of pipeline state monitoring, in particular to a method and a system for processing gas pipeline state data.
Background
The gas pipeline is used as a mode for transporting gas with high efficiency, low cost and strong persistence, is widely applied to the gas industry, and plays a great role in economic and social development. Gas pipelines have more or less drawbacks due to the long life of some gas pipelines in use and the frequent interference of urban infrastructure activities. The defects can cause the failure of the pipeline, thereby causing huge personnel and property loss, arousing the attention of various large gas companies and carrying out internal detection on the gas pipeline.
At the present stage, the gas company has already completed the detection work in multiple rounds of pipelines, and has obtained detection data in multiple batches. However, most of the data of the batches are obtained by different detection tools of different in-home detection companies, and the difference between the data of the batches is greatly increased. Based on the prior art, the automatic alignment of the internal detection data of the batch with the difference is difficult, and the defects of low efficiency and poor effect exist in the case of manual alignment of a large amount of data.
Thus, there is a need for improvements and enhancements in the art.
Disclosure of Invention
The present invention provides a method and a system for processing status data of a gas pipeline, which aim to solve the problems of low efficiency and poor effect in the prior art when performing automatic alignment on internal detection data of different batches by using a manual alignment method.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
in a first aspect, the present invention provides a method for processing gas pipeline state data, wherein the method includes:
obtaining key point data of multiple batches of gas pipelines;
determining the position data of the key points of each batch according to the key point data, and determining the distance between the same key points in different batches;
and performing data alignment processing on the key points according to the distance.
In one implementation, the obtaining the key point data of multiple batches of gas pipelines includes:
acquiring pipeline state data of multiple batches of gas pipelines, wherein the pipeline state data is used for reflecting basic information data of the gas pipelines;
and taking the circumferential weld in the pipeline state data as the key point to obtain the key point data.
In one implementation, the determining, according to the key point data, the position data of the key points of each batch and the distance between the same key points in different batches includes:
acquiring position data of the key points of a first batch;
obtaining the position data of the same key point in the rest batches;
and determining the distance between the same key point in different batches according to the position data of the key point in the first batch and the position data of the same key point in the rest batches.
In one implementation, performing data alignment processing on the key points according to the distance includes:
comparing the distance with a preset distance threshold;
and if the distance is smaller than the distance threshold, controlling the key points of the corresponding batch to be aligned.
In one implementation, if the distance is smaller than the distance threshold, controlling the alignment of the key points of the corresponding batch includes:
and if the distance between one batch of girth welds and the corresponding girth welds in the first batch is smaller than the distance threshold, aligning the batch of girth welds with the first batch of girth welds.
In one implementation, the method further comprises:
and after the key points are subjected to data alignment, marking the aligned key points.
In one implementation, the method further comprises:
after the key points are subjected to data alignment, determining the positions of the defect points of the gas pipelines in different batches;
and determining the defect type based on the position of the defect point so as to determine the state of the gas pipeline.
In a second aspect, an embodiment of the present invention further provides a gas pipeline state data processing system, where the system includes:
the key point data acquisition module is used for acquiring key point data of multiple batches of gas pipelines;
the key point distance determining module is used for determining the position data of the key points of each batch according to the key point data and determining the distance between the same key points in different batches;
and the key point alignment module is used for carrying out data alignment processing on the key points according to the distance.
In a third aspect, an embodiment of the present invention further provides a terminal device, where the terminal device includes a memory, a processor, and a gas pipeline state data processing program that is stored in the memory and is executable on the processor, and when the processor executes the gas pipeline state data processing program, the steps of the gas pipeline state data processing method in any one of the above schemes are implemented.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, where a gas pipeline state data processing program is stored on the computer-readable storage medium, and when the gas pipeline state data processing program is executed by a processor, the steps of the gas pipeline state data processing method in any one of the above schemes are implemented.
Has the advantages that: compared with the prior art, the invention provides a method for processing the state data of a gas pipeline, which comprises the following steps: obtaining key point data of multiple batches of gas pipelines; determining the position data of the key points of each batch according to the key point data, and determining the distance between the same key points in different batches; and performing data alignment processing on the key points according to the distance. Compared with the existing semi-automatic alignment or manual alignment, the method effectively improves the efficiency and the alignment effect, is favorable for determining missing detection and false detection, and is favorable for realizing defect matching and monitoring the state of the pipeline.
Drawings
Fig. 1 is a flowchart of a specific implementation of a gas pipeline state data processing method according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of data alignment in the gas pipeline state data processing method according to the embodiment of the present invention.
FIG. 3 is a schematic block diagram of a gas pipeline status data processing system according to an embodiment of the present invention.
Fig. 4 is a schematic block diagram of an internal structure of a terminal device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and effects of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The gas pipeline is used as a mode for transporting gas with high efficiency, low cost and strong persistence, is widely applied to the gas industry, and plays a great role in economic and social development. Gas pipelines have more or less drawbacks due to the long life of some gas pipelines in use and the frequent interference of urban infrastructure activities. The defects can cause the failure of the pipeline, thereby causing huge personnel and property loss, arousing the attention of various large gas companies and carrying out internal detection on the gas pipeline. At the present stage, the gas company has already completed the detection work in multiple rounds of pipelines, and has obtained detection data in multiple batches. However, most of the data of the batches are obtained by different detection tools of different in-home detection companies, and the difference between the data of the batches is greatly increased. However, in the prior art, automatic alignment of these multiple batches of data cannot be realized, the workload of manual alignment is huge, the efficiency is not high, and errors are easy to occur, and once errors occur, the subsequent work will have no meaning.
In order to solve the problems in the prior art, the embodiment provides a method for processing state data of a gas pipeline, and the technical idea of the method is that key point (pipeline key points such as pipeline valves, tee joints, welding lines and defects) information is acquired through detection in the pipeline, and then the pipeline key points are aligned, so that the problems of missing detection and false detection in the detection process are found out; and then carrying out defect matching and judging the defect position. The method mainly realizes alignment result display of different batches of data by matching different batches of internal detection defect data one by one, realizes alignment and defect matching of key characteristic points such as pipeline valves, tee joints, welding joints and the like, provides scientific basis for pipeline defect evaluation and pipeline maintenance by analyzing defect change, and ensures the intrinsic safety of the gas pipeline. And the display of different batches of data alignment results is realized, and the associated positioning of the data alignment graph and the pipeline geographic information is supported.
Specifically, as shown in fig. 1, the gas pipeline state data processing method of the present embodiment includes the steps of:
step S100: and obtaining key point data of multiple batches of gas pipelines.
In this embodiment, when data alignment is performed, alignment is performed based on the key point data. Key points in this embodiment include test points, welds, elbows, valves, tees, and other salient feature points. In a specific application, the data alignment operation is performed by taking the girth weld as a key point in the embodiment. Specifically, in this embodiment, first, pipeline state data of multiple batches of gas pipelines is obtained, where the pipeline state data is used to reflect basic information data of the gas pipelines; and taking the circumferential weld in the pipeline state data as the key point to obtain the key point data. That is, when the circular weld data in different batches of pipeline data are aligned, the alignment of the detection data in the whole pipeline is realized.
Step S200, according to the key point data, determining the position data of the key points of each batch, and determining the distance between the same key points in different batches.
When performing alignment processing, the embodiment first obtains the position data of the key points of a first batch; then obtaining the position data of the same key point in the rest batches; and finally, determining the distance between the same key point in different batches according to the position data of the key point in the first batch and the position data of the same key point in the rest batches. In a specific application, in the data automatic alignment operation process, two or more batches of absolute mileage data must be checked first, and the initial point is zeroed, and in the data automatic alignment process, each girth weld in the first batch is determined first, then the nearest girth weld corresponding to each girth weld in the first batch is found in the second batch, and the distance between the nearest girth welds corresponding to each girth weld is determined.
And step S300, performing data alignment processing on the key points according to the distance.
After the distance is obtained, the embodiment can compare the distance with a preset distance threshold; and if the distance between one batch of girth welds and the corresponding girth welds in the first batch is smaller than the distance threshold, aligning the batch of girth welds with the first batch of girth welds. Specifically, if the distance between the two nearest girth welds is within a set distance threshold, taking the average value of the absolute mileage of the two points as the new mileage of the two aligned points, and aligning the two points at the position to realize data alignment. In addition, in this embodiment, after the data alignment is performed on the key points, the aligned key points are marked, as shown in fig. 2, and the aligned girth welds are marked and displayed by lines. And if the girth welds in one batch do not find girth welds within the distance threshold within another batch, the girth welds in the other batch are marked with a different color. Moreover, at this time, the adjustment needs to be performed in a semi-automatic alignment manner. In specific application, one batch of girth welds is selected to be dragged forwards or backwards until the distance between the selected batch of girth welds and another batch of girth welds is smaller than a distance threshold, the selected batches of girth welds can be automatically aligned together, after two girth welds are aligned, the two girth welds are marked and displayed by lines, and after the two girth welds are aligned, the girth welds cannot be modified and dragged.
In this embodiment, the data alignment operation may be implemented by using data alignment software, which may include mileage position display of two batches (or multiple batches) of girth welds, may perform manual alignment by dragging one girth weld with another batch of girth welds, or may select any one of the two batches of girth welds to perform automatic alignment. In the alignment process, operations such as canceling, checking alignment, clearing marks, saving drafts, loading drafts, saving alignment results and the like can be performed. And after entering the data alignment interface, selecting the welding seam data of the first batch and the second batch, clicking to determine, loading the data of the circumferential weld seam, and giving out the welding seam position information of the two batches on the circumferential weld seam alignment operation interface. And clicking a selection frame behind the corrosion and pipe body manufacturing defects to check the distribution condition of the corresponding defects. Buttons of canceling, checking and aligning, clearing marks, saving drafts, loading drafts and saving the aligning result are arranged above the girth weld aligning operation frame. And selecting pipelines to be aligned on the pipeline and batch interfaces, selecting two corresponding batches on the data alignment interface, and loading the position information of the girth welds of the two batches after clicking and determining. In the girth weld alignment operation interface, four functional options of an adjusting mode and a zooming mode are provided, and the functions are respectively as follows:
adjusting the mode: a certain circumferential weld can be selected, and after a bidirectional arrow appears, the circumferential weld can be dragged to align.
Scaling mode: after selection, the yellow horizontal bar can be dragged to select the area needing to be amplified, and the selected area is amplified to the full screen.
In the process of aligning the girth welds, the girth welds need to be scaled so as to align the girth welds.
And (3) amplification operation: and in the yellow progress bar, clicking the left mouse button without zooming, dragging the part to be amplified, and loosening the left mouse button after selecting the part to be amplified, thus amplifying the part.
And (3) reducing operation: and pulling down the progress bar to obtain the reduction operation.
In the specific operation, the operation of circumferential weld alignment has two methods:
one of the batches of the welding seams corresponding to the other batch of the welding seams can be selected, and when the distance between the two girth welding seams reaches a certain precision, the system can automatically align.
Secondly, one key of automatic alignment can be selected, and the system performs alignment operation of the circumferential weld at the moment.
In the embodiment, data alignment is performed based on the key point of the girth weld during data alignment, and due to the influence of conditions such as detector accuracy, errors and environment, the key point often appears in false alarm and false alarm in different batches of internal detection data. Therefore, in the data alignment process, if the conditions of missing detection and false detection are detected, the red line mark is used for waiting for manual processing. After the data alignment operation, visual display is carried out according to the relative mileage position of each defect, such as corrosion points, concave points, abnormal points of the circumferential weld, abnormal points of the straight weld, abnormal points of the spiral weld and the like, from the previous circumferential weld, the clock point direction and the surface position of the defect points, the corrosion points are displayed by red marks, and the concave points are displayed by blue marks.
Specifically, in this embodiment, after the key points are subjected to data alignment, the positions of the defect points of the gas pipelines in different batches are determined; and determining the defect type based on the position of the defect point so as to determine the state of the gas pipeline. When the magnetic flux leakage detector performs internal detection, the position information of various defects according to the previous girth weld can be identified, and various defect points can be aligned with the defect points according to the relative position of the previous girth weld, the clock point direction of the defect points and the position information (on the surface or the wall of the pipeline or on the inner wall of the pipeline) of the defect points. In this embodiment, the defect point matching method mainly performs defect matching operation according to the position matching of the defect point, where the position matching information includes: relative mileage position, hour direction, and surface position. For the relative mileage position, the distance between the front welding seam and the rear welding seam is about 12 meters generally, so the generated error is small generally and can be used as the basis for defect matching. A certain error may also occur in the clock direction (the section of the pipeline is a circle, and the pipeline is divided from 1 o 'clock direction to 12 o' clock direction according to the clock dial, that is, the clock direction), but the error is generally within an acceptable threshold range, and can be used as a basis for defect matching. The surface position shows the position of the defect and is generally divided into an inner wall and an outer wall of the pipeline, and the surface position of the defect can be accurately shown in the internal detection data of the gas pipeline, so that when defect matching is carried out, the surface position of the same defect point of the two batches of internal detection data is completely consistent after the defect matching is completed, the growth rate of the defect is calculated according to the two internal detection results, and the type of the defect is judged. Calculating the growth rate of the defects according to a full-life calculation formula and a half-life calculation company, and dividing the defects into: active defect spots, inactive defect spots, newly added defect spots and other defect spots. Specifically, the life-cycle corrosion growth rate calculation formula:
Figure BDA0003103770110000081
half-life corrosion growth rate calculation formula:
Figure BDA0003103770110000091
in the formula: vcMm/y for corrosion growth rate; d2The corrosion depth of the last detection is mm; d1The corrosion depth is mm in the last detection; t is2The year of the last test; t is1And if the detection result is not the last detection year, the production time of the pipeline is determined.
For the active defect point, the defect growth rate of the same defect point detected twice is greater than a set threshold value, and then the active defect point is determined; for an inactive defect point, the absolute value of the defect growth rate detected by the same defect point twice is smaller than a set threshold value, and then the inactive defect point is determined; for newly-added defect points, the first detection does not find defect points, but defect points are found in the second detection, and if the defect growth rate is greater than a set threshold value, the newly-added defect points are determined; if the first detection data is far larger than the second detection data (the second detection data may be undetected), the other defect points are determined as other defect points, and are specifically classified into missed detection and false detection.
In summary, in the method for processing status data of a gas pipeline in this embodiment, first, key point data of multiple batches of gas pipelines is obtained; determining the position data of the key points of each batch according to the key point data, and determining the distance between the same key points in different batches; and performing data alignment processing on the key points according to the distance. Compared with the existing semi-automatic alignment or manual alignment, the method effectively improves the efficiency and the alignment effect, is favorable for determining missing detection and false detection, and is favorable for realizing defect matching and monitoring the state of the pipeline. The embodiment can visualize the data alignment process, and the data alignment process can be realized by dragging the display position of each strip circumferential weld of one batch. In addition, according to the embodiment, visual display of some unclassified characteristic points such as corrosion points, sink points, circumferential weld abnormal points, straight weld abnormal points and spiral weld abnormal points on the pipeline can be determined according to the relative positions of some pipeline characteristic points such as the circumferential weld. The embodiment is beneficial to realizing full-automatic alignment, when the circumferential weld distance of the internal detection data of two batches or a plurality of batches is smaller than a certain threshold value, the automatic alignment function can be realized, and for the points which cannot be aligned in the full-automatic manner, the system is marked to be red and is subjected to human intervention so as to realize the data alignment work of all circumferential welds.
The data alignment method can achieve semi-automatic alignment, and when the distance between two girth welds of two batches or multiple batches is smaller than a certain threshold value, the two girth welds can be automatically aligned together and locked by dragging the girth welds of one batch. The data alignment system can be suitable for the characteristics of frequent relocation and abandonment of town gas pipelines, can cut and segment internal detection data according to relocation and abandonment conditions, performs data alignment analysis on the internal detection data in a non-relocated section, retains the data in the relocated section, and performs data comparison analysis on the internal detection data in the relocated section during next internal detection. The matching work of two batches or multiple batches of defect points can be carried out after the data comparison is finished, and the matching work of each defect point is carried out by absolute mileage, relative mileage position, hour direction, surface position and pipe section number. The same defect point of different batches can be analyzed and calculated after defect matching is completed, and the defect growth rate is calculated by using a full-life calculation formula, a half-life calculation formula and the like. The defect points can be classified according to the growth rates of different defect points after the defect growth rate calculation is completed, and the defect points are divided into: active defect spots, inactive defect spots, newly added defect spots and other defect spots.
Based on the above embodiments, as shown in fig. 3, the present embodiment further provides a gas pipeline state data processing system, which includes: a keypoint data acquisition module 10, a keypoint pitch determination module 20, and a keypoint alignment module 30. Specifically, in this embodiment, the key point data obtaining module 10 is configured to obtain key point data of multiple batches of gas pipelines. The key point distance determining module 20 is configured to determine the position data of the key points in each batch according to the key point data, and determine the distance between the same key points in different batches. The key point alignment module 30 is configured to perform data alignment processing on the key points according to the distance.
In one implementation, the key point data obtaining module 10 includes:
the device comprises a pipeline state data acquisition unit, a data processing unit and a data processing unit, wherein the pipeline state data acquisition unit is used for acquiring pipeline state data of multiple batches of gas pipelines, and the pipeline state data is used for reflecting basic information data of the gas pipelines;
and the key point data determining unit is used for taking the girth weld in the pipeline state data as the key point to obtain the key point data.
In one implementation, the keypoint pitch determination module 20 includes:
the first position data acquisition unit is used for acquiring the position data of the key points of a first batch;
the second position data acquisition unit is used for acquiring the position data of the same key point in the rest batches;
and the interval data determining unit is used for determining the interval between the same key point in different batches according to the position data of the key point in the first batch and the position data of the same key point in the rest batches.
In one implementation, the keypoint alignment module 30 includes:
the distance comparison unit is used for comparing the distance with a preset distance threshold value;
and the data alignment unit is used for controlling the alignment of the key points of the corresponding batch if the distance is smaller than the distance threshold.
Based on the above embodiments, the present invention further provides a terminal device, and a schematic block diagram thereof may be as shown in fig. 4. The terminal equipment comprises a processor, a memory, a network interface, a display screen and a temperature sensor which are connected through a system bus. Wherein the processor of the terminal device is configured to provide computing and control capabilities. The memory of the terminal equipment comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the terminal device is used for connecting and communicating with an external terminal through a network. The computer program is executed by a processor to implement a gas pipeline state data processing method. The display screen of the terminal equipment can be a liquid crystal display screen or an electronic ink display screen, and the temperature sensor of the terminal equipment is arranged in the terminal equipment in advance and used for detecting the operating temperature of the internal equipment.
It will be understood by those skilled in the art that the block diagram of fig. 4 is only a block diagram of a part of the structure related to the solution of the present invention, and does not constitute a limitation to the terminal device to which the solution of the present invention is applied, and a specific terminal device may include more or less components than those shown in the figure, or may combine some components, or have different arrangements of components.
In one embodiment, a terminal device is provided, where the terminal device includes a memory, a processor, and a gas pipeline status data processing program stored in the memory and executable on the processor, and when the processor executes the gas pipeline status data processing program, the following operation instructions are implemented:
obtaining key point data of multiple batches of gas pipelines;
determining the position data of the key points of each batch according to the key point data, and determining the distance between the same key points in different batches;
and performing data alignment processing on the key points according to the distance.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, databases, or other media used in embodiments provided herein may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
In summary, the invention discloses a method and a system for processing state data of a gas pipeline, wherein the method comprises the following steps: obtaining key point data of multiple batches of gas pipelines; determining the position data of the key points of each batch according to the key point data, and determining the distance between the same key points in different batches; and performing data alignment processing on the key points according to the distance. The method aligns the key characteristic points of the pipeline, is favorable for determining missing detection and false detection, and is favorable for realizing defect matching and monitoring the state of the pipeline.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. A gas pipeline state data processing method is characterized by comprising the following steps:
obtaining key point data of multiple batches of gas pipelines;
determining the position data of the key points of each batch according to the key point data, and determining the distance between the same key points in different batches;
and performing data alignment processing on the key points according to the distance.
2. The gas pipeline state data processing method according to claim 1, wherein the obtaining key point data of multiple batches of gas pipelines comprises:
acquiring pipeline state data of multiple batches of gas pipelines, wherein the pipeline state data is used for reflecting basic information data of the gas pipelines;
and taking the circumferential weld in the pipeline state data as the key point to obtain the key point data.
3. The gas pipeline state data processing method as claimed in claim 2, wherein the determining the position data of the key points of each batch according to the key point data and the determining the distance between the same key points in different batches comprises:
acquiring position data of the key points of a first batch;
obtaining the position data of the same key point in the rest batches;
and determining the distance between the same key point in different batches according to the position data of the key point in the first batch and the position data of the same key point in the rest batches.
4. The gas pipeline state data processing method according to claim 3, wherein performing data alignment processing on the key points according to the distance comprises:
comparing the distance with a preset distance threshold;
and if the distance is smaller than the distance threshold, controlling the key points of the corresponding batch to be aligned.
5. The gas pipeline state data processing method according to claim 4, wherein if the distance is smaller than the distance threshold, controlling the alignment of key points of a corresponding batch, comprises:
and if the distance between one batch of girth welds and the corresponding girth welds in the first batch is smaller than the distance threshold, aligning the batch of girth welds with the first batch of girth welds.
6. The gas pipeline condition data processing method according to claim 1, further comprising:
and after the key points are subjected to data alignment, marking the aligned key points.
7. The gas pipeline condition data processing method according to claim 1, further comprising:
after the key points are subjected to data alignment, determining the positions of the defect points of the gas pipelines in different batches;
and determining the defect type based on the position of the defect point so as to determine the state of the gas pipeline.
8. A gas pipeline condition data processing system, the system comprising:
the key point data acquisition module is used for acquiring key point data of multiple batches of gas pipelines;
the key point distance determining module is used for determining the position data of the key points of each batch according to the key point data and determining the distance between the same key points in different batches;
and the key point alignment module is used for carrying out data alignment processing on the key points according to the distance.
9. A terminal device, characterized in that the terminal device comprises a memory, a processor and a gas pipeline state data processing program stored in the memory and operable on the processor, and when the processor executes the gas pipeline state data processing program, the steps of the gas pipeline state data processing method according to any one of claims 1 to 7 are implemented.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a gas pipeline status data processing program, which, when executed by a processor, implements the steps of the gas pipeline status data processing method according to any one of claims 1 to 7.
CN202110631067.5A 2021-06-07 2021-06-07 Gas pipeline state data processing method and system Pending CN113485984A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110631067.5A CN113485984A (en) 2021-06-07 2021-06-07 Gas pipeline state data processing method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110631067.5A CN113485984A (en) 2021-06-07 2021-06-07 Gas pipeline state data processing method and system

Publications (1)

Publication Number Publication Date
CN113485984A true CN113485984A (en) 2021-10-08

Family

ID=77934298

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110631067.5A Pending CN113485984A (en) 2021-06-07 2021-06-07 Gas pipeline state data processing method and system

Country Status (1)

Country Link
CN (1) CN113485984A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115062192A (en) * 2022-08-22 2022-09-16 成都千嘉科技股份有限公司 Gas pipeline detection data automatic alignment method based on spatial analysis

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2012103628A1 (en) * 2011-02-03 2012-08-09 Absolute Nde International Inc. Method for ultrasonic inspection of welds
CN111143320A (en) * 2019-08-02 2020-05-12 中海广东天然气有限责任公司 Method for comparing and analyzing detection data in pipeline
CN111159639A (en) * 2018-11-07 2020-05-15 中国石油化工股份有限公司 Method and device for aligning detection data in pipeline
CN111667132A (en) * 2019-03-07 2020-09-15 中国石油化工股份有限公司 Intelligent analysis decision-making system for pipeline integrity

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2012103628A1 (en) * 2011-02-03 2012-08-09 Absolute Nde International Inc. Method for ultrasonic inspection of welds
CN111159639A (en) * 2018-11-07 2020-05-15 中国石油化工股份有限公司 Method and device for aligning detection data in pipeline
CN111667132A (en) * 2019-03-07 2020-09-15 中国石油化工股份有限公司 Intelligent analysis decision-making system for pipeline integrity
CN111143320A (en) * 2019-08-02 2020-05-12 中海广东天然气有限责任公司 Method for comparing and analyzing detection data in pipeline

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
季寿宏等, 《石油化工自动化》, vol. 54, no. 4, 31 August 2018 (2018-08-31), pages 47 - 51 *
杨贺, 《中国优秀硕士论文电子期刊网》, 15 February 2018 (2018-02-15), pages 15 - 30 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115062192A (en) * 2022-08-22 2022-09-16 成都千嘉科技股份有限公司 Gas pipeline detection data automatic alignment method based on spatial analysis

Similar Documents

Publication Publication Date Title
US8612164B2 (en) Method of maintaining a pipeline
CN111159639B (en) Method and device for aligning detection data in pipeline
CN113486494A (en) Gas pipeline state monitoring decision-making method and system
CN113485984A (en) Gas pipeline state data processing method and system
CN108197254B (en) A kind of data recovery method based on neighbour
US20130338833A1 (en) System and Method for Calculating and Reporting Maximum Allowable Operating Pressure
US7768530B2 (en) Verification of process variable transmitter
CN106814479B (en) A kind of offset compensating method of panel defect location, apparatus and system
CN106991050B (en) False positive identification method for reference defect of static test null pointer
CN115014334A (en) Pipeline defect detection and positioning method and system based on multi-sensing information fusion
CN109815981B (en) Method and device for determining risk level of girth weld and readable storage medium
CN108151693B (en) Method and device for determining pipe miter joint characteristics
CN111242426B (en) Pipe point suspension inspection method and system based on space relative position
WO2021181369A1 (en) Method and system for predicting corrosion increase rates and remaining life time of pipelines
CN104699793A (en) Pipeline body shortcoming detection data processing method and system thereof
Adamciuc et al. Algorithm for creating electrophoretic passports of maize hybrids
CN110853016A (en) Automatic checking method and device for topographic map publishing quality
CN112199629B (en) Optimal arrangement method for fault indicators
Dann et al. Pragmatic approach to estimate corrosion rates for pipelines subject to complex corrosion
Skow et al. In-line inspection tool performance evaluation using field excavation data
CN114460164A (en) Circumferential weld determining method, device, equipment and storage medium
KR102448847B1 (en) Missing part detecting method and device using connecting part analysis of offshore structure 3D model
CN115495918A (en) Pipe network data detection and analysis method, device, equipment and storage medium
CN108269049B (en) Data detection method and device for state transition object
CN117113586A (en) Method and device for checking and modifying three-dimensional pipeline model bent pipe

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination