CN117316322A - Earliest leakage tracing method for underground gas pipeline - Google Patents
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- 238000000034 method Methods 0.000 title claims abstract description 36
- 239000002689 soil Substances 0.000 claims abstract description 23
- 238000013528 artificial neural network Methods 0.000 claims abstract description 9
- 230000008569 process Effects 0.000 claims abstract description 9
- 230000007246 mechanism Effects 0.000 claims abstract description 5
- 238000009792 diffusion process Methods 0.000 claims description 29
- 238000002474 experimental method Methods 0.000 claims description 15
- 238000012360 testing method Methods 0.000 claims description 14
- 238000009826 distribution Methods 0.000 claims description 11
- 238000004458 analytical method Methods 0.000 claims description 6
- 238000009933 burial Methods 0.000 claims description 6
- 238000001514 detection method Methods 0.000 claims description 6
- 230000007613 environmental effect Effects 0.000 claims description 6
- 238000005457 optimization Methods 0.000 claims description 6
- 238000011160 research Methods 0.000 claims description 5
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 5
- 239000010426 asphalt Substances 0.000 claims description 3
- 239000011449 brick Substances 0.000 claims description 3
- 239000004568 cement Substances 0.000 claims description 3
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- 238000012790 confirmation Methods 0.000 claims description 3
- 230000008878 coupling Effects 0.000 claims description 3
- 238000010168 coupling process Methods 0.000 claims description 3
- 238000005859 coupling reaction Methods 0.000 claims description 3
- 230000005284 excitation Effects 0.000 claims description 3
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- 230000009977 dual effect Effects 0.000 abstract description 4
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- 238000010586 diagram Methods 0.000 description 4
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- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 2
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- 239000003915 liquefied petroleum gas Substances 0.000 description 1
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- 231100000419 toxicity Toxicity 0.000 description 1
Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
- F17D5/02—Preventing, monitoring, or locating loss
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
- G16C20/20—Identification of molecular entities, parts thereof or of chemical compositions
Abstract
The invention discloses an earliest leakage tracing method for an underground gas pipeline, which relates to the technical field of gas leakage tracing and comprises the following steps: establishing an early leakage theoretical model of the buried gas pipeline: and defining an early warning boundary of leakage of the buried gas pipeline, analyzing the influence of soil and process conditions on the underground gas leakage rate, and providing theoretical and model data support for a buried gas pipeline leakage tracing algorithm. Aiming at the problems that the leakage tracing positioning time of the buried gas pipeline is long, the cost is high and the risk cannot be restrained in time, the buried gas pipeline leakage efficient tracing algorithm based on the artificial intelligent neural network is established through the mechanism and data dual driving, the technical guarantee is provided for the rapid and accurate positioning of the leakage source of the buried gas pipeline, the buried gas pipeline early leakage tracing algorithm is developed through the theoretical model and the experimental data dual data verification, and the possible leakage position of the gas pipeline is objectively and accurately reflected.
Description
Technical Field
The invention relates to the technical field of gas leakage tracing, in particular to an earliest leakage tracing method for an underground gas pipeline.
Background
The gas is a generic term of gas fuel, common natural gas, liquefied petroleum gas and biogas, the gas releases heat through burning for industrial production and daily production, the gas is usually transported through underground pipelines, because the gas has great pollution and strong toxicity, once the underground pipelines for transporting the gas leak, serious environmental pollution is caused, if the underground pipelines in cities leak, serious safety accidents can be caused, and the urban safety is seriously endangered, and the Chinese patent with the application number of 201711280902.5 discloses a positioning method and a system for the leakage area of the underground gas pipelines, wherein the method comprises the following steps: s1, determining the position of a combustible gas monitor with the gas concentration of the combustible gas exceeding a preset threshold according to the real-time monitoring result of the combustible gas monitor arranged in an underground space adjacent to an underground gas pipeline; s2, estimating the range of the underground gas pipeline with leakage by adopting a preset gas tracing algorithm based on the position of the combustible gas monitor and the gas concentration value of the combustible gas correspondingly monitored by the combustible gas monitor. According to the positioning method and system for the leakage area of the underground gas pipeline, the combustible gas monitors are arranged in the adjacent underground space of the underground gas pipeline, so that the concentration of the combustible gas is monitored in real time, and then the gas leakage area is determined according to the concentration and the position of the combustible gas monitors, the gas safety is monitored in real time, the leakage area is locked rapidly, and the urban safety is guaranteed. "
This contrast file has only been solved and has been monitored underground piping combustible gas concentration in order to leak the problem of tracing to the source through the mode of arranging the gas monitor, but gas monitor can't carry out intensive layout, when underground gas piping's leak point is in the underground space of sensor such as gas monitor of not arranging, will be difficult to pinpoint underground gas pipe's leak point, in gas piping leak monitoring in the past, still need the manual work to carry out a large amount of investigation in gas leakage alarming point periphery, lead to the leak point to be difficult to discover, discovery time period is long, problem such as with high costs.
Disclosure of Invention
The invention aims to provide an earliest leakage tracing method for an underground gas pipeline, which aims to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions: an earliest leakage tracing method for an underground gas pipeline comprises the following steps:
s1, establishing an early leakage theoretical model of the buried gas pipeline: defining an early warning boundary of leakage of the buried gas pipeline, analyzing the influence of soil and process conditions on the underground gas leakage rate, and providing theoretical and model data support for a buried gas pipeline leakage tracing algorithm;
s2, early leakage experimental test of the buried gas pipe: based on influence factors in the pipeline, simulating a gas pipeline leakage event in a real scene, verifying an early leakage theoretical model of the buried gas pipeline according to data obtained by an early leakage experimental test of the buried gas pipeline, and providing experimental data support for a buried gas pipeline leakage tracing algorithm;
s3, researching an early leakage tracing algorithm of the buried gas pipeline: based on the theory of the buried gas pipeline early leakage theory model, according to the data obtained by the buried gas pipeline early leakage experiment test, the buried gas pipeline early leakage tracing algorithm research is carried out based on an artificial intelligent neural network algorithm;
s4, accurately positioning the leakage position of the underground gas pipeline: according to an early leakage tracing algorithm of the buried gas pipeline, accurate positioning of the leakage position of the underground gas pipeline is achieved.
Preferably, in the step S1, the FLUENT software is used to build a gas underground diffusion model within a radius range of 5 meters of the leakage source of the buried gas pipeline, and the model is based on the assumption of a hardened pavement, and researches the distribution characteristics of the gas underground diffusion concentration field space and time under the influence of factors such as different pipeline pressures, pipeline burial depths, leakage apertures and the like by integrating environmental factors such as soil porosity, water content, viscous resistance and the like.
Preferably, in the step S1, the target gas line is acquired: taking an alarm underground space as a circle center, taking the furthest diffusion distance corresponding to the underground space covering medium as a radius R to form a circle, representing the underground alarm space, wherein the target gas pipeline corresponding to the alarm underground space is a gas pipeline intersecting pipe section in the underground alarm space, R selected by different underground space covering mediums are different in size, R is 2.5 meters when the underground space covering medium is soil or grassland, R is 5 meters when the underground space covering medium is a road plate brick, and R is 12.5 meters when the underground space covering medium is cement, asphalt or concrete.
Preferably, in the step S1, after the target gas line is acquired, confirmation of the flammable gas diffusion range is performed: according to the obtained target gas pipeline, the target gas pipeline is taken as a possible leakage gas pipe section, two endpoints of the possible leakage gas pipe section are taken as circle centers, a circle is made according to the farthest distance of the possible leakage gas pipe section covering medium corresponding to gas diffusion, and a region which is swept along the possible leakage gas pipe section between the two circles is the possible gas diffusion range.
Preferably, in the step S1, after confirming the diffusion range of the combustible gas, it is necessary to calculate the high leakage probability pipe section according to the on-site detection: in the underground space in which the combustible gas can diffuse and the sensor is not arranged, the concentration of the combustible gas is detected, in the underground space in which the combustible gas exists on site, any two points are taken as circle centers to form two circles, the underground space s1 in which the combustible gas exists on site and the underground space s2 in which the combustible gas exists on site are respectively represented, at the moment, the underground spaces in which the combustible gas exists are subjected to traceable analysis, wherein the intersection section of the target gas pipeline corresponding to the intersection of the underground space with the combustible gas exists on site, the underground space s1 in which the combustible gas exists on site and the underground space s2 in which the combustible gas exists on site is a high-leakage probability gas pipeline.
Preferably, in the step S1, after estimating the pipe section with high leakage probability according to the on-site detection, the target pipe section with the possibility of leakage is positioned: after the high leakage probability pipe section is calculated, two circles are formed by taking any point at two ends of the high leakage probability pipe section as circle centers in the underground space without the combustible gas on site, the underground space D1 with the non-combustible gas on site and the underground space D2 with the non-combustible gas on site are respectively represented, the underground space without the combustible gas is subjected to tracing analysis, the gas pipeline which is defined and coincides with the overall target pipeline with the possibility of leakage is a pipeline with low leakage probability, namely the low leakage probability pipe section, and then the pipe section leakage possibility positioning is carried out according to the superposition result of the target pipeline with the underground space with the combustible gas.
Preferably, in step S2, an early leakage test experiment platform for the buried gas pipeline is designed based on the characteristic values of factors such as gas pressure in the pipeline, pipeline burial depth, leakage aperture, soil moisture content, soil porosity, soil type and the like, the leakage event of the gas pipeline in a real scene is simulated by respectively controlling the factors, a high-flux leakage orthogonal experiment under multi-factor coupling is performed by using the experiment platform, gas sensors are distributed around the leakage source of the buried gas pipeline, the diffusion condition of gas in the soil and the concentration distribution of different space time positions are monitored, the synergistic mechanism of the leakage behavior of the buried gas pipeline by the process, the pipeline and environmental factors is studied, the accuracy of the early leakage theoretical model of the buried gas pipeline is verified, and experimental data support is provided for the leakage tracing algorithm of the buried gas pipeline.
Preferably, in the step S3, the buried gas pipeline early leakage experimental data is utilized to train a buried gas pipeline leakage tracing algorithm based on an artificial intelligent neural network, the optimal adaptability of an excitation function to the algorithm is explored, the optimal setting layer number of hidden layers and the connection weight of each layer are researched, the preset precision requirement of the accurate recognition rate of the leakage tracing algorithm is realized, the influence of the leakage tracing algorithm parameters on the algorithm performance is researched by utilizing the concentration field distribution space-time sequence big data of the buried gas pipeline early leakage theoretical model, and then an algorithm optimization scheme with both operation efficiency and positioning precision is constructed, the leakage tracing software suitable for handheld equipment or mobile phone APP is constructed based on the buried gas pipeline early leakage tracing optimization algorithm, and the reliability and the accuracy of the leakage tracing software are verified through experiments;
the L-M algorithm is specifically as follows:
Δw＝(J T J＝μI) -1 ·J T e
where e represents the error vector, J represents the jacobian of the derivative of the network error with respect to the weight, μ represents the scalar, w represents the input response generation connection weight, and T represents the period.
Compared with the prior art, the invention has the beneficial effects that:
aiming at the problems that the leakage tracing positioning time of the buried gas pipeline is long, the cost is high and the risk cannot be restrained in time, the influence of the pipeline body and the soil condition on the time-space distribution of the underground leakage concentration field is explored by establishing a theoretical model of the early leakage of the buried gas pipeline, an experimental platform is built to carry out early leakage experimental test of the buried gas pipeline, the theoretical model is verified and corrected in necessary, gas underground diffusion concentration distribution data are collected, an efficient tracing algorithm of the leakage of the buried gas pipeline based on an artificial intelligent neural network is established through mechanism and data dual driving, technical guarantee is provided for quick and accurate positioning of the leakage source of the buried gas pipeline, and the early leakage tracing algorithm of the buried gas pipeline is developed through the theoretical model and the experimental data dual data verification to objectively and accurately reflect the possible leakage position of the gas pipeline.
Drawings
FIG. 1 is a schematic diagram of steps provided in an embodiment of the present invention;
FIG. 2 is a schematic diagram of obtaining a target gas pipeline according to an embodiment of the present invention;
FIG. 3 is a schematic view of a flammable gas diffusion range according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a high leakage probability pipe segment according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a target pipe segment with a potential for leakage according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-5, the present invention provides a technical solution: an earliest leakage tracing method for an underground gas pipeline comprises the following steps:
s1, establishing an early leakage theoretical model of the buried gas pipeline: defining an early warning boundary of leakage of the buried gas pipeline, analyzing the influence of soil and process conditions on the underground gas leakage rate, and providing theoretical and model data support for a buried gas pipeline leakage tracing algorithm;
s2, early leakage experimental test of the buried gas pipe: based on influence factors in the pipeline, simulating a gas pipeline leakage event in a real scene, verifying an early leakage theoretical model of the buried gas pipeline according to data obtained by an early leakage experimental test of the buried gas pipeline, and providing experimental data support for a buried gas pipeline leakage tracing algorithm;
s3, researching an early leakage tracing algorithm of the buried gas pipeline: based on the theory of the buried gas pipeline early leakage theory model, according to the data obtained by the buried gas pipeline early leakage experiment test, the buried gas pipeline early leakage tracing algorithm research is carried out based on an artificial intelligent neural network algorithm;
s4, accurately positioning the leakage position of the underground gas pipeline: according to an early leakage tracing algorithm of the buried gas pipeline, accurate positioning of the leakage position of the underground gas pipeline is achieved.
In the step S1, a gas underground diffusion model is established within a radius range of 5 meters of a buried gas pipeline leakage source by utilizing FLUENT software, and the model is based on a hardened pavement assumption, and researches the distribution characteristics of the gas underground diffusion concentration field space and time under the influence of factors such as different pipeline pressures, pipeline burial depths, leakage apertures and the like by integrating the environmental factors such as soil porosity, water content, viscous resistance and the like; establishing a gas underground diffusion model through FLUENT software;
in step S1, acquisition of a target gas line is performed: taking an alarm underground space as a circle center, taking the furthest diffusion distance corresponding to an underground space covering medium as a radius R to form a circle, representing the underground alarm space, wherein the section of the underground alarm space, which is intersected with a gas pipeline, is a target gas pipeline corresponding to the alarm underground space, R selected by different underground space covering mediums are different in size, wherein R is 2.5 meters when the underground space covering medium is soil or grassland, R is 5 meters when the underground space covering medium is a road plate brick, and R is 12.5 meters when the underground space covering medium is cement, asphalt or concrete; as shown in fig. 2, a target gas pipeline is obtained by making a circle with the alarm underground space as the center of a circle;
in step S1, after acquisition of the target gas line, confirmation of the flammable gas diffusion range is performed: according to the obtained target gas pipeline, taking the target gas pipeline as a possible leakage gas pipe section, taking two endpoints of the possible leakage gas pipe section as circle centers, and taking the farthest distance of the covering medium of the possible leakage gas pipe section corresponding to gas diffusion as a radius to make a circle, wherein a region which is swept along the possible leakage gas pipe section between the two circles is the possible gas diffusion range; as shown in fig. 3, the possible diffusion range of the fuel gas is confirmed;
in step S1, after confirming the flammable gas diffusion range, it is necessary to estimate the high leakage probability pipe section according to the on-site detection: detecting the concentration of the combustible gas in an underground space which is in a possible diffusion range of the combustible gas and is not provided with a sensor, and in the underground space with the combustible gas in the field, taking any two points as circle centers to form two circles which respectively represent the underground space s1 with the combustible gas in the field and the underground space s2 with the combustible gas in the field, and performing traceable analysis on the underground spaces with the combustible gas in the field, wherein the intersection section of a target gas pipeline corresponding to the intersection of the underground space with the combustible gas in the field, the underground space s1 with the combustible gas in the field and the underground space s2 with the combustible gas in the field is a high-leakage probability gas pipe section; as shown in fig. 4, the high leakage probability pipe section is confirmed by the range of the flammable gas subsurface space existing in the field;
in step S1, after estimating the high leakage probability pipe section according to the on-site detection, positioning the target pipe section having the possibility of leakage: after the high leakage probability pipe section is calculated, two circles are formed by taking any point at two ends of the high leakage probability pipe section as circle centers in the underground space without the combustible gas on site, the underground space D1 with the non-combustible gas on site and the underground space D2 with the non-combustible gas on site are respectively represented, the underground space without the combustible gas is subjected to tracing analysis, the gas pipeline which is defined and coincides with the overall target pipeline with the possibility of leakage is a pipeline with low leakage probability, namely the low leakage probability pipe section, and then pipe section leakage possibility positioning is carried out according to the superposition result of the underground space target pipeline with the combustible gas; as shown in fig. 5, the low leakage probability pipe section is confirmed by the extent that there is no flammable gas subsurface space in the field;
in the step S2, an early leakage test experiment platform of the buried gas pipeline is designed based on factor characteristic values such as gas pressure in the pipeline, pipeline burial depth, leakage aperture, soil water content, soil porosity, soil type and the like, the factors are respectively controlled to simulate a gas pipeline leakage event in a real scene, a high-flux leakage orthogonal experiment under multi-factor coupling is carried out by using the experiment platform, gas sensors are distributed around a leakage source of the buried gas pipeline, the diffusion condition of gas in the soil and concentration distribution of different space time positions are monitored, the synergistic action mechanism of process, pipeline and environmental factors on the leakage behavior of the buried gas pipeline is studied, the accuracy of an early leakage theoretical model of the buried gas pipeline is verified, and experimental data support is provided for a leakage tracing algorithm of the buried gas pipeline; through the early leakage experimental test of the buried gas pipeline, the early leakage theoretical model of the buried gas pipeline is verified, and meanwhile, data is provided for a buried gas pipeline leakage tracing algorithm;
in the step S3, the buried gas pipeline early leakage experimental data based on an artificial intelligent neural network is utilized to train a buried gas pipeline leakage tracing algorithm, the optimal adaptability of an excitation function to the algorithm is explored, the optimal setting layer number of an hidden layer and the connection weight of each layer are researched, the preset precision requirement of the accurate recognition rate of the leakage tracing algorithm is realized, the influence of the leakage tracing algorithm parameters on the algorithm performance is researched by utilizing the concentration field distribution space-time sequence big data of the buried gas pipeline early leakage theoretical model, the algorithm optimization scheme with the operation efficiency and the positioning precision is further constructed, the leakage tracing software suitable for handheld equipment or mobile phone APP is constructed based on the buried gas pipeline early leakage tracing optimization algorithm, the reliability and the accuracy of the leakage tracing software are verified through experiments, and the artificial intelligent neural network algorithm comprises an L-M algorithm;
the L-M algorithm is specifically as follows:
Δw＝(J T J＝μI) -1 ·J T e
wherein e represents an error vector, J represents a jacobian matrix of a derivative of a network error with respect to a weight, mu represents a scalar, w represents an input response generation connection weight, and T represents a period; and carrying out earliest tracing on underground gas pipeline leakage through a buried gas pipeline leakage tracing algorithm.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. The method for tracing the earliest leakage of the underground gas pipeline is characterized by comprising the following steps of:
s1, establishing an early leakage theoretical model of the buried gas pipeline: defining an early warning boundary of leakage of the buried gas pipeline, analyzing the influence of soil and process conditions on the underground gas leakage rate, and providing theoretical and model data support for a buried gas pipeline leakage tracing algorithm;
s2, early leakage experimental test of the buried gas pipe: based on influence factors in the pipeline, simulating a gas pipeline leakage event in a real scene, verifying an early leakage theoretical model of the buried gas pipeline according to data obtained by an early leakage experimental test of the buried gas pipeline, and providing experimental data support for a buried gas pipeline leakage tracing algorithm;
s3, researching an early leakage tracing algorithm of the buried gas pipeline: based on the theory of the buried gas pipeline early leakage theory model, according to the data obtained by the buried gas pipeline early leakage experiment test, the buried gas pipeline early leakage tracing algorithm research is carried out based on an artificial intelligent neural network algorithm;
s4, accurately positioning the leakage position of the underground gas pipeline: according to an early leakage tracing algorithm of the buried gas pipeline, accurate positioning of the leakage position of the underground gas pipeline is achieved.
2. The method for tracing the earliest leakage of an underground gas pipeline according to claim 1, wherein the method comprises the following steps: in the step S1, using FLUENT software, a gas underground diffusion model is built within a radius range of 5 meters of a buried gas pipeline leakage source, and based on a hardened pavement assumption, the model is used for researching the distribution characteristics of the gas underground diffusion concentration field space and time under the influence of factors such as different pipeline pressures, pipeline burial depths, leakage apertures and the like by integrating the environmental factors such as soil porosity, water content, viscous resistance and the like.
3. The method for tracing the earliest leakage of an underground gas pipeline according to claim 2, wherein the method comprises the following steps: in the step S1, the target gas line is acquired: taking an alarm underground space as a circle center, taking the furthest diffusion distance corresponding to the underground space covering medium as a radius R to form a circle, representing the underground alarm space, wherein the target gas pipeline corresponding to the alarm underground space is a gas pipeline intersecting pipe section in the underground alarm space, R selected by different underground space covering mediums are different in size, R is 2.5 meters when the underground space covering medium is soil or grassland, R is 5 meters when the underground space covering medium is a road plate brick, and R is 12.5 meters when the underground space covering medium is cement, asphalt or concrete.
4. The method for tracing the earliest leakage of an underground gas pipeline according to claim 3, wherein the method comprises the following steps: in the step S1, after the target gas line is acquired, confirmation of the flammable gas diffusion range is performed: according to the obtained target gas pipeline, the target gas pipeline is taken as a possible leakage gas pipe section, two endpoints of the possible leakage gas pipe section are taken as circle centers, a circle is made according to the farthest distance of the possible leakage gas pipe section covering medium corresponding to gas diffusion, and a region which is swept along the possible leakage gas pipe section between the two circles is the possible gas diffusion range.
5. The method for tracing the earliest leakage of an underground gas pipeline according to claim 4, wherein the method comprises the following steps: in the step S1, after confirming the diffusion range of the combustible gas, it is necessary to calculate the high leakage probability pipe section according to the on-site detection: in the underground space in which the combustible gas can diffuse and the sensor is not arranged, the concentration of the combustible gas is detected, in the underground space in which the combustible gas exists on site, any two points are taken as circle centers to form two circles, the underground space s1 in which the combustible gas exists on site and the underground space s2 in which the combustible gas exists on site are respectively represented, at the moment, the underground spaces in which the combustible gas exists are subjected to traceable analysis, wherein the intersection section of the target gas pipeline corresponding to the intersection of the underground space with the combustible gas exists on site, the underground space s1 in which the combustible gas exists on site and the underground space s2 in which the combustible gas exists on site is a high-leakage probability gas pipeline.
6. The method for tracing the earliest leakage of an underground gas pipeline according to claim 5, wherein the method comprises the following steps: in the step S1, after estimating the pipe section with high leakage probability according to the on-site detection, the target pipe section with the possibility of leakage is positioned: after the high leakage probability pipe section is calculated, two circles are formed by taking any point at two ends of the high leakage probability pipe section as circle centers in the underground space without the combustible gas on site, the underground space D1 with the non-combustible gas on site and the underground space D2 with the non-combustible gas on site are respectively represented, the underground space without the combustible gas is subjected to tracing analysis, the gas pipeline which is defined and coincides with the overall target pipeline with the possibility of leakage is a pipeline with low leakage probability, namely the low leakage probability pipe section, and then the pipe section leakage possibility positioning is carried out according to the superposition result of the target pipeline with the underground space with the combustible gas.
7. The method for tracing the earliest leakage of an underground gas pipeline according to claim 6, wherein the method comprises the following steps: in step S2, an early leakage test experiment platform for the buried gas pipeline is designed based on the characteristic values of factors such as gas pressure in the pipeline, pipeline burial depth, leakage aperture, soil water content, soil porosity, soil type and the like, the factors are controlled respectively, a gas pipeline leakage event in a real scene is simulated, a high-flux leakage orthogonal experiment under multi-factor coupling is carried out by using the experiment platform, gas sensors are distributed around a leakage source of the buried gas pipeline, the diffusion condition of gas in the soil and the concentration distribution of different space time positions are monitored, the cooperative mechanism of the process, the pipeline and environmental factors on the leakage behavior of the buried gas pipeline is studied, the accuracy of an early leakage theoretical model of the buried gas pipeline is verified, and experimental data support is provided for a leakage tracing algorithm for the buried gas pipeline.
8. The method for tracing the earliest leakage of an underground gas pipeline according to claim 7, wherein the method comprises the following steps: in step S3, the buried gas pipeline early leakage experimental data based on the artificial intelligent neural network is used for training a buried gas pipeline leakage tracing algorithm, the optimal adaptability of an excitation function to the algorithm is explored, the optimal setting layer number of hidden layers and the connection weight of each layer are researched, the preset precision requirement of the accurate recognition rate of the leakage tracing algorithm is realized, the influence of the leakage tracing algorithm parameters on the algorithm performance is researched by using the concentration field distribution space-time sequence big data of the buried gas pipeline early leakage theoretical model, an algorithm optimization scheme with both operation efficiency and positioning precision is further constructed, the leakage tracing software suitable for handheld equipment or mobile phone APP is constructed based on the buried gas pipeline early leakage tracing optimization algorithm, and the reliability and the accuracy of the leakage tracing software are verified through experiments.
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| CN117521418A (en) * | 2024-01-03 | 2024-02-06 | 海纳云物联科技有限公司 | Gas leakage diffusion range prediction method, gas leakage diffusion range prediction equipment and storage medium |
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|---|---|---|---|---|
| CN117521418A (en) * | 2024-01-03 | 2024-02-06 | 海纳云物联科技有限公司 | Gas leakage diffusion range prediction method, gas leakage diffusion range prediction equipment and storage medium |
| CN117521418B (en) * | 2024-01-03 | 2024-05-07 | 海纳云物联科技有限公司 | Gas leakage diffusion range prediction method, gas leakage diffusion range prediction equipment and storage medium |
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