CN116608420B - Dynamic tracking and monitoring method and system for natural gas components - Google Patents
Dynamic tracking and monitoring method and system for natural gas components Download PDFInfo
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- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 title claims abstract description 304
- 239000003345 natural gas Substances 0.000 title claims abstract description 151
- 238000012544 monitoring process Methods 0.000 title claims abstract description 90
- 238000000034 method Methods 0.000 title claims abstract description 47
- 230000005856 abnormality Effects 0.000 claims abstract description 74
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- 238000004364 calculation method Methods 0.000 claims description 39
- 239000000178 monomer Substances 0.000 claims description 19
- 238000001514 detection method Methods 0.000 claims description 18
- 238000012795 verification Methods 0.000 claims description 13
- 230000000737 periodic effect Effects 0.000 claims description 10
- 238000012806 monitoring device Methods 0.000 claims description 4
- 238000000605 extraction Methods 0.000 claims description 3
- 230000007547 defect Effects 0.000 abstract description 16
- 238000012423 maintenance Methods 0.000 abstract description 15
- 230000000694 effects Effects 0.000 abstract description 8
- 230000008569 process Effects 0.000 abstract description 6
- 238000012545 processing Methods 0.000 abstract description 4
- 239000007789 gas Substances 0.000 description 33
- 238000007726 management method Methods 0.000 description 14
- 230000005540 biological transmission Effects 0.000 description 7
- 238000004458 analytical method Methods 0.000 description 5
- 230000008859 change Effects 0.000 description 4
- 230000004044 response Effects 0.000 description 4
- OFBQJSOFQDEBGM-UHFFFAOYSA-N n-pentane Natural products CCCCC OFBQJSOFQDEBGM-UHFFFAOYSA-N 0.000 description 3
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 description 2
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 2
- ATUOYWHBWRKTHZ-UHFFFAOYSA-N Propane Chemical compound CCC ATUOYWHBWRKTHZ-UHFFFAOYSA-N 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- QWTDNUCVQCZILF-UHFFFAOYSA-N isopentane Chemical compound CCC(C)C QWTDNUCVQCZILF-UHFFFAOYSA-N 0.000 description 2
- OTMSDBZUPAUEDD-UHFFFAOYSA-N Ethane Chemical compound CC OTMSDBZUPAUEDD-UHFFFAOYSA-N 0.000 description 1
- 239000001273 butane Substances 0.000 description 1
- 239000001569 carbon dioxide Substances 0.000 description 1
- 229910002092 carbon dioxide Inorganic materials 0.000 description 1
- 239000000470 constituent Substances 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 238000013524 data verification Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- AFABGHUZZDYHJO-UHFFFAOYSA-N dimethyl butane Natural products CCCC(C)C AFABGHUZZDYHJO-UHFFFAOYSA-N 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 239000001307 helium Substances 0.000 description 1
- 229910052734 helium Inorganic materials 0.000 description 1
- SWQJXJOGLNCZEY-UHFFFAOYSA-N helium atom Chemical compound [He] SWQJXJOGLNCZEY-UHFFFAOYSA-N 0.000 description 1
- 238000009776 industrial production Methods 0.000 description 1
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- IJDNQMDRQITEOD-UHFFFAOYSA-N n-butane Chemical compound CCCC IJDNQMDRQITEOD-UHFFFAOYSA-N 0.000 description 1
- 229910052757 nitrogen Inorganic materials 0.000 description 1
- 239000001294 propane Substances 0.000 description 1
- 238000005067 remediation Methods 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
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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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- 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
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- General Engineering & Computer Science (AREA)
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- Examining Or Testing Airtightness (AREA)
Abstract
The invention provides a dynamic tracking and monitoring method and a system for natural gas components, which relate to the technical field of data processing and are based on natural gas identification and record of identification results; acquiring natural gas pipeline flow data and pipeline data to obtain identification component acquisition results, acquiring and correlating the identification component acquisition results based on hierarchical correlation, and carrying out component anomaly identification according to the correlation results, the pipeline flow data and the identification results to obtain component anomaly identification results of the single pipeline and the mixed pipeline, so as to carry out natural gas tracking monitoring management. The method solves the technical problems that in the prior art, the accuracy of identifying leakage defects of the natural gas pipelines combined by pipe networks is low, and the positioning of the pipelines at the leakage defect sites is difficult, so that the leakage operation and maintenance efficiency of the natural gas pipelines is low. The technical effects of accurately identifying natural gas leakage abnormality and air tightness abnormality of the pipeline connection part in pipe network combination and improving the positioning convenience of the pipeline in the operation and maintenance process of the leakage abnormality in the natural gas conveying pipeline are achieved.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a method and a system for dynamically tracking and monitoring natural gas components.
Background
At present, with the continuous expansion and construction of a natural gas pipe network, a natural gas pipe is used as a main channel for natural gas transportation, and the use frequency is higher and higher. During use, natural gas pipelines are subject to the effects and damage of some external factors, such as corrosion, vibration, collisions, temperature changes, etc., resulting in the creation of leakage defects. The problems of low identification accuracy of leakage defects, difficult positioning of the leakage defect site pipeline and the like in the natural gas pipe network are solved in the current pipe network operation and maintenance.
In the prior art, the accuracy of identifying leakage defects of the natural gas pipelines combined by the pipe network is low, and the positioning of the pipelines at the leakage defect sites is difficult, so that the technical problem of low leakage operation and maintenance efficiency of the natural gas pipelines is solved.
Disclosure of Invention
The application provides a dynamic tracking and monitoring method and a dynamic tracking and monitoring system for natural gas components, which are used for solving the technical problems that in the prior art, the accuracy of identifying leakage defects of natural gas pipelines combined by pipe networks is low, and the positioning of the pipelines at the positions of the leakage defects is difficult, so that the leakage operation and maintenance efficiency of the natural gas pipelines is low.
In view of the above problems, the application provides a method and a system for dynamically tracking and monitoring natural gas components.
In a first aspect of the application, there is provided a method for dynamic tracking and monitoring of natural gas components, the method comprising: reading source natural gas component information, and determining an identification component, an identification quantity and a source identification characteristic according to the natural gas component information; identifying natural gas based on the identification component, the identification quantity and the source identification feature, and recording an identification result; collecting natural gas pipeline flow data and pipeline data, wherein the pipeline data comprises pipeline intersection identifiers, pipeline classification is carried out according to the pipeline data, and monitoring sensors are arranged according to pipeline classification results and the pipeline data, wherein the monitoring sensors are provided with classification association; acquiring pipeline data of the natural gas pipeline through the monitoring sensor to obtain an identification component acquisition result; acquiring and correlating the identification component acquisition results according to the grading correlation, and carrying out component anomaly identification according to the correlation results, the pipeline flow data, the identification quantity and the source identification characteristics, wherein the component anomaly identification comprises single pipeline component anomaly identification and mixed pipeline component anomaly identification; and carrying out tracking monitoring management on the natural gas based on the abnormal component identification result of the monomer pipeline and the abnormal component identification result of the mixed pipeline.
In a second aspect of the present application, there is provided a natural gas composition dynamic tracking monitoring system, the system comprising: the component information reading module is used for reading the component information of the source natural gas and determining an identification component, an identification quantity and a source identification characteristic according to the component information of the natural gas; the identification result recording module is used for identifying the natural gas based on the identification components, the identification quantity and the source identification characteristics and recording an identification result; the data acquisition execution module is used for acquiring natural gas pipeline flow data and pipeline data, wherein the pipeline data comprises pipeline intersection identifiers, pipeline classification is carried out according to the pipeline data, and monitoring sensors are arranged according to pipeline classification results and the pipeline data, and the monitoring sensors are in classification association; the pipeline data acquisition module is used for acquiring pipeline data of the natural gas pipeline through the monitoring sensor to obtain an identification component acquisition result; the component anomaly identification module is used for carrying out acquisition and association on the identification component acquisition result according to the grading association and carrying out component anomaly identification according to the association result, the pipeline flow data, the identification quantity and the source identification characteristic, wherein the component anomaly identification comprises single pipeline component anomaly identification and mixed pipeline component anomaly identification; and the tracking monitoring management module is used for carrying out tracking monitoring management on the natural gas based on the component abnormality identification result of the single pipeline and the component abnormality identification result of the mixed pipeline.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
the method provided by the embodiment of the application comprises the steps of reading the component information of the source natural gas, and determining the identification component, the identification quantity and the source identification characteristic according to the component information of the natural gas; based on the identification components, the identification quantity and the source identification characteristics, natural gas is identified, an identification result is recorded, and identification marking of gas pipelines in pipeline network combination is carried out by using the content proportion of the gas components of the natural gas output by a natural gas company and the name of the natural gas transmission source company, so that positioning reference information is provided for the subsequent identification and positioning of abnormal gas pipelines; collecting natural gas pipeline flow data and pipeline data, wherein the pipeline data comprises pipeline intersection identifiers, pipeline classification is carried out according to the pipeline data, and monitoring sensors are arranged according to pipeline classification results and the pipeline data, wherein the monitoring sensors are provided with classification association; acquiring pipeline data of the natural gas pipeline through the monitoring sensor to obtain an identification component acquisition result, and providing basic data for the subsequent identification of abnormal pipeline grid-connected gas components through obtaining the identification component acquisition result; acquiring and correlating the identification component acquisition results according to the grading correlation, and carrying out component anomaly identification according to the correlation results, the pipeline flow data, the identification quantity and the source identification characteristics, wherein the component anomaly identification comprises component anomaly identification of a single pipeline and component anomaly identification of a mixed pipeline, and leakage detection of a plurality of middle pipelines and airtight detection of the junction of the middle pipelines in natural gas pipeline network merging are carried out based on the correlation, so that global leakage detection of the natural gas pipeline network merging conveying pipelines is realized, the reliability of the detection results is improved, and references are provided for positioning of leakage and airtight defect sites; and carrying out tracking monitoring management on the natural gas based on the abnormal component identification result of the monomer pipeline and the abnormal component identification result of the mixed pipeline. The technical effects of accurately identifying natural gas leakage abnormality and air tightness abnormality of the pipeline connection part in pipe network combination and improving operation and maintenance response timeliness of the leakage abnormality in the natural gas conveying pipeline and pipeline positioning convenience in the operation and maintenance process are achieved.
Drawings
FIG. 1 is a schematic flow chart of a method for dynamically tracking and monitoring natural gas components;
FIG. 2 is a schematic flow chart of a method for obtaining abnormal identification results of components of a monomer pipeline in a dynamic tracking and monitoring method of components of natural gas;
FIG. 3 is a schematic flow chart of carrying out abnormal transportation management in the method for dynamically tracking and monitoring the components of natural gas;
fig. 4 is a schematic structural diagram of a dynamic tracking and monitoring system for natural gas components.
Reference numerals illustrate: the system comprises a component information reading module 1, an identification result recording module 2, a data acquisition executing module 3, a pipeline data acquisition module 4, a component abnormality identification module 5 and a tracking and monitoring management module 6.
Detailed Description
The application provides a dynamic tracking and monitoring method and a dynamic tracking and monitoring system for natural gas components, which are used for solving the technical problems that in the prior art, the accuracy of identifying leakage defects of natural gas pipelines combined by pipe networks is low, and the positioning of the pipelines at the positions of the leakage defects is difficult, so that the leakage operation and maintenance efficiency of the natural gas pipelines is low. The technical effects of accurately identifying natural gas leakage abnormality and air tightness abnormality of the pipeline connection part in pipe network combination and improving operation and maintenance response timeliness of the leakage abnormality in the natural gas conveying pipeline and pipeline positioning convenience in the operation and maintenance process are achieved.
The technical scheme of the application accords with related regulations on data acquisition, storage, use, processing and the like.
In the following, the technical solutions of the present application will be clearly and completely described with reference to the accompanying drawings, and it should be understood that the described embodiments are only some embodiments of the present application, but not all embodiments of the present application, and that the present application is not limited by the exemplary embodiments described herein. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application. It should be further noted that, for convenience of description, only some, but not all of the drawings related to the present application are shown.
Embodiment one:
as shown in fig. 1, the application provides a method for dynamically tracking and monitoring natural gas components, which comprises the following steps:
s100, reading source natural gas component information, and determining an identification component, an identification quantity and source identification characteristics according to the natural gas component information;
s200, identifying the natural gas based on the identification component, the identification quantity and the source identification characteristic, and recording an identification result;
specifically, the embodiment adopts pipe network combination to integrate the natural gas pipelines of a plurality of natural gas companies into one main pipeline, and then carries out pipeline branching for the second time, thereby realizing the unified supply and management of natural gas transportation so as to improve the utilization efficiency of natural gas resources and reduce the construction and operation cost of the pipeline.
The identification component is a gas composition component of natural gas meeting the production and living use requirements, and the identification component of the natural gas is obtained and comprises methane, ethane, propane, butane, isopentane, n-pentane, nitrogen, carbon dioxide and helium. The identification amount refers to the content proportion of each gas constituent corresponding to the identification component in the output natural gas of the natural gas company.
And taking N (N is more than or equal to 2 and N is a positive integer) natural gas companies participating in pipe network combination as sources, and reading N source natural gas component information of natural gas output by the N natural gas companies.
And carrying out identification processing on N source natural gas component information by taking the registration names of N natural gas companies as source identification characteristics for representing natural gas sources. And identifying and extracting identification quantity information based on the identification components according to the component information of each source natural gas so as to determine the identification components and the identification quantity of the natural gas output by each natural gas company.
And marking N natural gas output pipelines of N natural gas companies based on the identification components, the identification quantity and the source identification characteristics, and recording identification results. According to the embodiment, the identification marks of N natural gas company gas transmission pipelines in pipe network combination are carried out according to the content proportion of the gas components of the natural gas output by the natural gas company and the names of the natural gas transmission source companies, and positioning reference information is provided for the follow-up identification and positioning of the abnormal gas transmission pipelines.
S300, collecting natural gas pipeline flow data and pipeline data, wherein the pipeline data comprises pipeline intersection identifiers, pipeline classification is carried out according to the pipeline data, and monitoring sensors are arranged according to pipeline classification results and the pipeline data, wherein the monitoring sensors are provided with classification association;
specifically, in this embodiment, when pipe network merging is performed, the gas pipelines of N natural gas companies perform multistage small-scale merging of pipelines in an inverted crotch form, and finally, the natural gas of N natural gas companies is aggregated into one main pipeline, and then, unified supply and management of natural gas transportation are performed based on urban industrial production and residential life requirements.
Therefore, the pipeline data are obtained, the pipeline data are M (M is a positive integer greater than N) middle pipelines which are connected with N conveying pipelines to form an inverted crotch type natural gas grid-connected pipeline, and the pipeline intersection mark is the connection intersection relation between two ends of the middle pipelines and other middle pipelines in the pipeline network merging process of the inverted crotch type.
And determining the final pipeline combined by the pipeline network as a first-stage pipeline according to the pipeline intersection identification, further obtaining K middle pipelines intersected to the first-stage pipeline as secondary pipelines based on the pipeline intersection identification, obtaining L middle pipelines intersected to the K secondary pipelines as tertiary pipelines for identifying 2-1 to 2-K conveniently, identifying 3-1-1 and 3-1-2 exemplarily, and representing the pipelines with No. 1 and No. 2 intersected to the pipelines with No. 1 in the secondary pipelines. And the classification and numbering process of M middle pipelines is advanced, and the classification numbers of the M middle pipelines are used as the classification association relation among the M middle pipelines.
The method is characterized in that a mode of arranging monitoring sensors and flow sensors at any positions in the middle pipelines is adopted, M monitoring sensors and M flow sensors are arranged on M middle pipelines, and the monitoring sensors and the flow sensors are related in a grading manner by taking grading numbers of the M middle pipelines as grading relations between the monitoring sensors and the flow sensors.
Flow sensors based on the M middle pipelines measure the flow velocity and flow of the fluid in the natural gas pipeline in real time so as to obtain M groups of real-time flow velocity-flow data.
S400, collecting pipeline data of the natural gas pipeline through the monitoring sensor to obtain an identification component collecting result;
specifically, in this embodiment, the monitoring sensor is disposed inside the middle pipeline, and is used for detecting the component content ratio of the natural gas flowing through the middle pipeline. And pipeline gas collection and component proportion detection in M middle pipelines in the natural gas pipeline are carried out through M monitoring sensors, and an identification component collection result is formed by combining M flow data obtained based on M flow sensors.
And acquiring the content proportion of the identification component in the real-time gas flowing through the natural gas intermediate pipelines in the M intermediate pipelines based on the identification component acquisition result, and acquiring real-time natural gas flow velocity and flow data. According to the embodiment, the identification component acquisition result is obtained, so that basic data is provided for the subsequent identification of the abnormal components of the pipeline grid-connected gas.
S500, acquiring and correlating the identification component acquisition results according to the grading correlation, and carrying out component anomaly identification according to the correlation results, the pipeline flow data, the identification quantity and the source identification characteristics, wherein the component anomaly identification comprises single pipeline component anomaly identification and mixed pipeline component anomaly identification;
in one embodiment, as shown in fig. 2, the method steps provided by the present application further include:
s510, reading identification component flow data based on the identification component acquisition result;
s520, configuring adjacent associations of the monitoring sensors, wherein the adjacent associations are provided with hierarchical association identifications;
s530, performing component flow authentication on the identification component flow data and the pipeline flow data corresponding to the monitoring sensors which are adjacently associated to obtain a component flow authentication result, wherein the component flow authentication result is a peer authentication result;
s540, obtaining the abnormal component identification result of the monomer pipeline according to the component flow authentication result.
In one embodiment, the method steps provided by the application further comprise:
s550, extracting identification component flow data of the hierarchical node position according to the hierarchical association identification, wherein the identification component flow data of the hierarchical node position comprises single pipeline identification component flow data and mixed pipeline identification component flow data;
S560, carrying out mixed component calculation based on the mixed pipeline identification component flow data to obtain a calculation result;
s570, carrying out component authentication on the calculation result according to the monomer pipeline identification component flow data to obtain a component authentication result;
s580, generating the abnormal component identification result of the mixed pipeline according to the calculation result and the component authentication result.
In one embodiment, the method steps provided by the application further comprise:
s531, performing component flow authentication of adjacent nodes on the identification component flow data corresponding to the adjacent associated monitoring sensors, and generating inter-node anomalies according to authentication results;
s532, performing global component flow authentication on the identification component flow data corresponding to the adjacent associated last node and the pipeline flow data to generate global abnormality;
and S533, generating the component flow authentication result according to the inter-node abnormality and the global abnormality.
Specifically, based on step S400, the present embodiment obtains the identification component collection result formed by the gas component proportion detection results of the M intermediate pipes and the overall natural gas flow data of the M intermediate pipes, so that based on the identification component proportion detection results of the M intermediate pipes and the M flow data in the identification component collection result, M identification component collection results of the M intermediate pipes, which are the flow data of each identification component in the natural gas flowing through the intermediate pipes, can be obtained by calculation.
Based on the above, in this embodiment, the intermediate pipeline stage numbers are used as data calling instructions, and the identification component flow data is obtained by reading and calculating the identification component collection results, where the identification component flow data is real-time gas component content proportion data and real-time natural gas flow rate data of M intermediate pipelines identified by M stage numbers.
It should be understood that in this embodiment, the concepts of the single pipeline and the mixing pipeline are opposite, specifically, two or more intermediate pipelines are taken as branch pipelines to convey natural gas into an intermediate pipeline at the previous stage as a common pipeline, and the two or more intermediate pipelines are mixed and conveyed, when a junction point is formed, the two or more branch pipelines and the converging pipeline are in an adjacent association relationship, the two or more branch pipelines are adjacent nodes, and the converging pipeline is a last node. Correspondingly, monitoring sensors arranged in a plurality of intermediate pipelines with adjacent incidence relations also have the same adjacent incidence relation.
Meanwhile, the plurality of branch pipelines are a plurality of single pipelines, the converging pipeline is a mixing pipeline, and when natural gas is conveyed to a higher-level middle pipeline with an adjacent incidence relation, the plurality of mixing pipelines become single pipelines in another adjacent incidence relation. The N lowest-stage middle pipelines connected with the N conveying pipelines are absolute single pipelines, and the middle pipelines which are finally combined and enter by the N conveying pipelines are absolute mixed pipelines.
And since the present embodiment performs hierarchical numbering on M intermediate pipes in the early stage, the adjacent association relationship between the intermediate pipes (monitoring sensors) can be directly obtained with the hierarchical number as the hierarchical association identifier.
The method for identifying the component abnormality of the single pipeline of the M middle pipelines has consistency, and particularly, a plurality of single pipeline monitoring sensors and single pipeline flow sensors with consistent interval distances are uniformly distributed in each middle pipeline, so that real-time flow data and real-time gas component content proportion data of nodes at different positions in each middle pipeline are obtained.
And obtaining multi-node real-time flow data and multi-node real-time gas component content proportion data of the intermediate pipeline based on the single pipeline monitoring sensors and the single pipeline flow sensors at a plurality of positions in the intermediate pipeline. Based on the analysis of the variation of the flow rate of the inlet gas and the analysis of the variation of the content ratio of the gas components as described above, if the overall flow rate or the content ratio of the gas components varies in the intermediate pipe, it is determined that the intermediate pipe has an abnormality in the component of the monomer pipe in which the monomer pipe leaks. And carrying out abnormality identification on M middle pipelines by adopting the same method to obtain an abnormality identification result of the components of the single pipeline, wherein the abnormality identification result of the components of the single pipeline comprises X middle pipelines with leakage defects, X is more than or equal to 0, and the X middle pipelines are provided with grading number marks. And carrying out leakage remediation on the corresponding intermediate pipeline based on the grading number identification of the intermediate pipeline in the abnormal component identification result of the single pipeline.
It should be understood that in this embodiment, there is an adjacent association relationship between M intermediate pipes, so this embodiment first adopts a method of performing abnormality recognition of the components of the monomer pipe, and performs common knowledge of the components of the monomer pipe of the N lowest-stage intermediate pipes (absolute mixing pipes) joined to the N conveying pipes. The method comprises the steps of obtaining the next-lowest-level intermediate pipes of the upper level, wherein the next-lowest-level intermediate pipes are adjacent to the last-level G, the next-lowest-level intermediate pipes are further grouped according to the N+G hierarchical number identifications, G groups of the next-lowest-level intermediate pipes are adjacent to the last-level G, each group of the next-lowest-level intermediate pipes is adjacent to the last-level G, and the next-lowest-level intermediate pipes intersected by each group of the next-lowest-level intermediate pipes are last-level nodes.
And carrying out component flow authentication of adjacent nodes on the identification component flow data corresponding to the monitoring sensors in adjacent association, and generating inter-node anomalies according to authentication results, wherein the inter-node anomalies are leakage anomalies in a plurality of same-stage intermediate pipelines which are converged in the same intermediate pipeline. And carrying out global component flow authentication on a plurality of intermediate pipelines with adjacent association relations on the identification component flow data corresponding to the last node with adjacent association relations and the pipeline flow data, and generating global abnormality, wherein the global abnormality is leakage abnormality of single pipelines of the plurality of intermediate pipelines with the same adjacent association relations. Generating the component flow authentication result according to the inter-node abnormality and the global abnormality, wherein the component flow authentication result is a same-level authentication result for representing whether leakage abnormality exists in a plurality of middle pipelines at the same level in the natural gas grid-connected conveying pipeline.
Based on the relative relation between the monomer pipeline and the mixing pipeline, obtaining the component flow authentication result of whether the M middle pipelines of all grades are abnormal, and taking the component flow authentication result as the component abnormality recognition result of the monomer pipeline. The embodiment carries out pipeline abnormality identification authentication based on the adjacent association of the middle pipeline, and achieves the technical effect of carrying out leakage identification authentication of the global middle pipeline in the natural gas pipeline.
Extracting identification component flow data of a hierarchical node position (namely a plurality of intermediate pipeline intersection positions with adjacent association relations) according to the hierarchical association relation identification, wherein the identification component flow data of the hierarchical node position comprises single pipeline identification component flow data and mixed pipeline identification component flow data, the single pipeline identification component flow data is identification component flow data of a plurality of intermediate pipelines serving as adjacent nodes in one adjacent association relation, and the mixed pipeline identification component flow data is identification component flow data of a single intermediate pipeline serving as a last node in one adjacent association relation.
And carrying out mixed component calculation based on the mixed pipeline identification component flow data to obtain a calculation result, wherein the calculation result is identification component gas flow data of natural gas flowing through a single intermediate pipeline of a final node.
And adding the monomer pipeline identification component flow data of the plurality of middle pipelines based on the gas components to obtain theoretical calculation results of the gas component flow in the mixing pipeline after theoretical gas mixing.
And judging whether the theoretical calculation result is consistent with the calculation result, finishing the component authentication, and obtaining a component authentication result, wherein the component authentication result comprises two types of abnormal leakage at the merging position and normal airtight at the merging position. The calculation result and the component authentication result constitute the mixing pipe component abnormality recognition result.
According to the embodiment, through the leakage detection of a plurality of middle pipelines in the natural gas pipeline network combination and the airtight detection of the junction of the middle pipelines based on the adjacent association relationship, the global leakage detection of the natural gas pipeline network combination conveying pipeline is realized, the reliability of the detection result is improved, references are provided for the positioning of leakage and airtight defect sites, and the operation and maintenance response timeliness of the natural gas leakage problem is improved.
And S600, carrying out tracking monitoring management on the natural gas based on the abnormal recognition result of the components of the single pipeline and the abnormal recognition result of the components of the mixed pipeline.
In one embodiment, as shown in fig. 3, the method steps provided by the present application further include:
S610, configuring a collection period of data;
s620, reading the periodic data of the same monitoring sensor in the acquisition period;
s630, carrying out data stability verification on the periodic data to obtain a data stability verification result;
s640, generating abnormal early warning information according to the data stability verification result;
and S650, carrying out abnormal transportation management of the natural gas based on the abnormal early warning information.
Specifically, in the embodiment, all monitoring sensors in the natural gas pipeline network merging pipeline are in a state of running in real time for data acquisition, and the acquisition period for data acquisition analysis is preset in the embodiment, for example, 15min. And reading the periodic data of the same monitoring sensor in the acquisition period, wherein the periodic data is the content proportion information of a plurality of groups of identification components with time identifications of the monitoring sensor at the same position of the middle pipeline within 15 minutes.
And based on the discreteness analysis, carrying out data stability verification on the periodic data to obtain a data stability verification result, wherein the data stability analysis result is the content variation fluctuation condition of a plurality of gas components of the identification components at the same position of the middle pipeline in the acquisition period.
Based on the gas transmission stability requirements of the natural gas pipe network combination, a preset stability threshold is generated, and the preset stability threshold has no fixity due to the difference of the gas transmission stability requirements, and the numerical value of the preset stability threshold is not limited in the embodiment.
Judging whether the data stability verification result meets the preset stability threshold value or not, if the data stability verification result does not meet the preset stability threshold value, indicating that leakage abnormality exists in the middle pipeline in the merging pipeline of the natural gas pipeline at present, and generating abnormality early warning information, wherein the abnormality early warning information comprises a grading number identification of the middle pipeline, the abnormality early warning information is sent to a natural gas pipeline operation and maintenance manager, and the operation and maintenance Guan Luren manages the transportation abnormality of the natural gas based on the abnormality early warning information.
The method and the device achieve the technical effects of accurately identifying natural gas leakage abnormality and air tightness abnormality of the pipeline connection part in pipe network combination, and improving operation and maintenance response timeliness of the leakage abnormality in the natural gas conveying pipeline and positioning convenience of the operation and maintenance process pipeline.
In one embodiment, the method steps provided by the application further comprise:
s531-1, configuring an abnormal threshold value among nodes;
S531-2, judging whether the inter-node abnormality meets the abnormality threshold;
s531-3, if the inter-node abnormality meets the abnormality threshold, generating an auxiliary acquisition instruction;
s531-4, controlling the mobile monitoring device to carry out traversal detection among the corresponding nodes through the auxiliary acquisition instruction, and positioning the abnormal position according to the traversal detection result.
Specifically, in this embodiment, a preferred method for determining whether there is a leakage abnormality in T intermediate pipes corresponding to adjacent nodes in the same adjacent association as the single pipe is as follows:
based on T groups of single pipeline monitoring sensors and single pipeline flow sensors distributed in the T single pipelines, real-time flow data and real-time gas component content proportion data of different position nodes inside the T single pipelines are obtained.
Based on the real-time flow data and the real-time gas component content proportion data of nodes at different positions in T single pipelines, the real-time flow data and the real-time gas component content proportion data of nodes at different positions in any single pipeline are obtained through random extraction, a plurality of real-time flow data change fluctuation indexes are determined based on data acquisition positions, a plurality of gas component content change fluctuation indexes in the identification gas are determined based on data acquisition positions, and the average value calculation is carried out on all the currently obtained change fluctuation indexes to be used as the natural gas change fluctuation indexes of the single pipelines. And (3) obtaining T natural gas variation fluctuation indexes of the T single pipelines by adopting the same method, and carrying out average value calculation to serve as the overall natural gas variation fluctuation indexes of the T single pipelines at adjacent nodes and serve as the inter-node abnormality.
Based on the gas transmission stability requirements of the natural gas pipe network combination, generating an abnormal threshold value among configuration nodes, wherein the abnormal threshold value has variability, and the embodiment does not do value forced limitation. Judging whether the inter-node abnormality meets the abnormality threshold value, if the inter-node abnormality meets the abnormality threshold value, indicating that the adjacent node has a single pipeline leakage fault necessarily, generating an auxiliary acquisition instruction, controlling a mobile monitoring device to carry out traversal detection of whether leakage sites exist on the outer walls of T single pipelines between the corresponding nodes based on the auxiliary acquisition instruction, and completing abnormal position positioning, thereby obtaining an intermediate pipeline with leakage defects in the adjacent nodes in the same adjacent association relation. The embodiment achieves the technical effect of improving the positioning accuracy of the leakage defect middle pipeline.
In one embodiment, the method steps provided by the application further comprise:
s533-1, performing sequential exception record on the inter-node exception to generate a sequential exception record result;
s533-2, determining a sensor distance based on the layout result of the monitoring sensor;
s533-3, performing inter-node anomaly calculation under unit distance according to the sequential anomaly record result and the sensor distance;
S533-4, generating the component flow authentication result according to the abnormal calculation result among the nodes.
Specifically, in this embodiment, the sequential exception record is that, according to the hierarchical number identification of the intermediate pipes with leakage exception in the natural gas pipeline network merging pipeline, a plurality of leakage exception intermediate pipes are recorded based on the level and the same-level order for the leakage exception intermediate pipes, and a sequential exception record result is generated.
And determining the sensor distance based on the arrangement positions of the monitoring sensors arranged in the M middle pipelines, wherein the sensor distance is the distance information of a plurality of monitoring sensors with a connection relationship in the natural gas flow direction. And obtaining leakage frequency information of the intermediate pipelines in unit distance by carrying out inter-node abnormal frequency in unit distance (for example, taking the total length of a plurality of intermediate pipelines as the unit distance) according to the sequence abnormal recording result and the sensor distance. And adding the inter-node abnormal calculation result to the component flow authentication result to improve the data multidimensional property of the prime component flow authentication result, wherein the inter-node abnormal calculation result is characterized in that the natural gas leakage frequency is in an intermediate pipeline with a certain pipeline length, and if the inter-node abnormal calculation result is higher than a certain threshold value, the inter-node abnormal calculation result indicates that the environment of the embedded or overhead intermediate pipeline is provided with factors influencing the air tightness of the intermediate pipeline.
Embodiment two:
based on the same inventive concept as the method for dynamic tracking and monitoring of natural gas components in the foregoing embodiments, as shown in fig. 4, the present application provides a system for dynamic tracking and monitoring of natural gas components, wherein the system includes:
the component information reading module 1 is used for reading the component information of the source natural gas and determining an identification component, an identification quantity and a source identification characteristic according to the component information of the natural gas;
an identification result recording module 2 for identifying natural gas based on the identification component, the identification amount, and the source identification feature, and recording an identification result;
the data acquisition execution module 3 is used for acquiring natural gas pipeline flow data and pipeline data, wherein the pipeline data comprises pipeline intersection identifiers, pipeline classification is carried out according to the pipeline data, and monitoring sensors are arranged according to pipeline classification results and the pipeline data, and the monitoring sensors are in classification association;
the pipeline data acquisition module 4 is used for acquiring pipeline data of the natural gas pipeline through the monitoring sensor to obtain an identification component acquisition result;
the component anomaly identification module 5 is used for carrying out acquisition association on the identification component acquisition result according to the hierarchical association, and carrying out component anomaly identification according to the association result, the pipeline flow data, the identification quantity and the source identification characteristic, wherein the component anomaly identification comprises single pipeline component anomaly identification and mixed pipeline component anomaly identification;
And the tracking monitoring management module 6 is used for carrying out tracking monitoring management on the natural gas based on the single pipeline component abnormality recognition result and the mixed pipeline component abnormality recognition result.
In one embodiment, the system further comprises:
the flow data acquisition unit is used for reading the flow data of the identification component based on the acquisition result of the identification component;
a neighboring association configuration unit, configured to configure a neighboring association of the monitoring sensor, where the neighboring association has a hierarchical association identifier;
the component flow authentication unit is used for performing component flow authentication on the identification component flow data and the pipeline flow data corresponding to the monitoring sensors which are adjacently associated, and obtaining a component flow authentication result, wherein the component flow authentication result is a peer authentication result;
and the anomaly identification execution unit is used for obtaining the component anomaly identification result of the monomer pipeline from the component flow authentication result.
In one embodiment, the system further comprises:
the node abnormality determining unit is used for carrying out component flow authentication of adjacent nodes on the identification component flow data corresponding to the adjacent associated monitoring sensors and generating abnormality among the nodes according to authentication results;
The component flow authentication unit is used for performing global component flow authentication on the identification component flow data corresponding to the adjacent associated last node and the pipeline flow data to generate global abnormality;
and the authentication result obtaining unit is used for generating the component flow authentication result according to the inter-node abnormality and the global abnormality.
In one embodiment, the system further comprises:
the component flow extraction unit is used for extracting identification component flow data of the hierarchical node position according to the hierarchical association identification, wherein the identification component flow data of the hierarchical node position comprises single pipeline identification component flow data and mixed pipeline identification component flow data;
the calculation result generation unit is used for carrying out mixed component calculation based on the mixed pipeline identification component flow data to obtain a calculation result;
the component authentication obtaining unit is used for carrying out component authentication on the calculation result according to the monomer pipeline identification component flow data to obtain a component authentication result;
and the anomaly identification execution unit is used for generating the component anomaly identification result of the mixed pipeline according to the calculation result and the component authentication result.
In one embodiment, the system further comprises:
the sequence anomaly recording unit is used for carrying out sequence anomaly recording on the anomalies among the nodes and generating a sequence anomaly recording result;
a sensor distance obtaining unit for determining a sensor distance based on a layout result of the monitoring sensor;
the node anomaly calculation unit is used for carrying out the anomaly calculation between nodes under the unit distance according to the sequential anomaly recording result and the sensor distance;
and the authentication result generation unit is used for generating the component flow authentication result according to the abnormal calculation result among the nodes.
In one embodiment, the system further comprises:
an abnormal threshold configuration unit for configuring abnormal thresholds among nodes;
an abnormal threshold judging unit for judging whether the inter-node abnormality satisfies the abnormal threshold;
the auxiliary instruction generation unit is used for generating an auxiliary acquisition instruction if the inter-node abnormality meets the abnormality threshold value;
and the abnormal position positioning unit is used for controlling the mobile monitoring device to carry out traversal detection between the corresponding nodes through the auxiliary acquisition instruction and positioning the abnormal position according to the traversal detection result.
In one embodiment, the system further comprises:
The acquisition period configuration unit is used for configuring the acquisition period of the data;
the periodic data reading unit is used for reading the periodic data of the same monitoring sensor in the acquisition period;
the data verification execution unit is used for carrying out data stability verification on the periodic data to obtain a data stability verification result;
the abnormal early warning execution unit is used for generating abnormal early warning information according to the data stability verification result;
and the abnormal transportation management unit is used for carrying out abnormal transportation management of the natural gas based on the abnormal early warning information.
Any of the methods or steps described above may be stored as computer instructions or programs in various non-limiting types of computer memories, and identified by various non-limiting types of computer processors, thereby implementing any of the methods or steps described above.
Based on the above-mentioned embodiments of the present invention, any improvements and modifications to the present invention without departing from the principles of the present invention should fall within the scope of the present invention.
Claims (5)
1. A method for dynamic tracking and monitoring of natural gas components, the method comprising:
Reading source natural gas component information, and determining an identification component, an identification quantity and a source identification characteristic according to the natural gas component information;
identifying natural gas based on the identification component, the identification quantity and the source identification feature, and recording an identification result;
collecting natural gas pipeline flow data and pipeline data, wherein the pipeline data comprises pipeline intersection identifiers, pipeline classification is carried out according to the pipeline data, and monitoring sensors are arranged according to pipeline classification results and the pipeline data, wherein the monitoring sensors are provided with classification association;
acquiring pipeline data of the natural gas pipeline through the monitoring sensor to obtain an identification component acquisition result;
acquiring and correlating the identification component acquisition results according to the grading correlation, and carrying out component anomaly identification according to the correlation results, the pipeline flow data, the identification quantity and the source identification characteristics, wherein the component anomaly identification comprises single pipeline component anomaly identification and mixed pipeline component anomaly identification;
tracking, monitoring and managing natural gas based on the abnormal component identification result of the single pipeline and the abnormal component identification result of the mixed pipeline;
Reading identification component flow data based on the identification component acquisition result;
configuring adjacent relations of the monitoring sensors, wherein the adjacent relations are provided with grading relation marks, and when a first single pipeline and a second single pipeline serve as branch pipelines to convey natural gas into a first mixing pipeline to be mixed and conveyed, the monitoring sensors which are prearranged in the first single pipeline, the second single pipeline and the first mixing pipeline are provided with the adjacent relations;
performing component flow authentication on the identification component flow data and the pipeline flow data corresponding to the monitoring sensors which are adjacently associated to obtain a component flow authentication result, wherein the component flow authentication result is a peer authentication result, and the component flow authentication result is a judgment result for determining whether leakage abnormality exists in the single pipeline according to the component flow value in the single pipeline;
obtaining the component abnormality identification result of the monomer pipeline according to the component flow authentication result;
performing component flow authentication of adjacent nodes on the identification component flow data corresponding to the adjacent associated monitoring sensors, and generating inter-node anomalies according to authentication results;
Performing global component flow authentication on the identification component flow data corresponding to the adjacent associated last node and the pipeline flow data to generate global abnormality;
generating the component flow authentication result according to the inter-node abnormality and the global abnormality;
extracting identification component flow data of the hierarchical node position according to the hierarchical association identification, wherein the identification component flow data of the hierarchical node position comprises monomer pipeline identification component flow data and mixed pipeline identification component flow data;
performing mixed component calculation based on the mixed pipeline identification component flow data to obtain a calculation result;
component authentication is carried out on the calculation result according to the monomer pipeline identification component flow data, and a component authentication result is obtained;
and generating the abnormal component identification result of the mixed pipeline according to the calculation result and the component authentication result.
2. The method of claim 1, wherein the method further comprises:
sequentially recording the inter-node anomalies to generate a sequential anomaly recording result;
determining a sensor distance based on the layout result of the monitoring sensor;
performing inter-node anomaly calculation under unit distance according to the sequential anomaly record result and the sensor distance;
And generating the component flow authentication result according to the abnormal calculation result among the nodes.
3. The method of claim 1, wherein the method further comprises:
configuring an abnormal threshold value among nodes;
judging whether the inter-node abnormality meets the abnormality threshold;
if the inter-node abnormality meets the abnormality threshold, generating an auxiliary acquisition instruction;
and controlling the mobile monitoring device to carry out traversal detection among the corresponding nodes through the auxiliary acquisition instruction, and positioning the abnormal position according to the traversal detection result.
4. The method of claim 1, wherein the method further comprises:
configuring a data acquisition period;
reading the periodic data of the same monitoring sensor in the acquisition period;
performing data stability verification on the periodic data to obtain a data stability verification result;
generating abnormal early warning information according to the data stability verification result;
and carrying out abnormal transportation management of the natural gas based on the abnormal early warning information.
5. A system for dynamic tracking and monitoring of natural gas composition, the system comprising:
the component information reading module is used for reading the component information of the source natural gas and determining an identification component, an identification quantity and a source identification characteristic according to the component information of the natural gas;
The identification result recording module is used for identifying the natural gas based on the identification components, the identification quantity and the source identification characteristics and recording an identification result;
the data acquisition execution module is used for acquiring natural gas pipeline flow data and pipeline data, wherein the pipeline data comprises pipeline intersection identifiers, pipeline classification is carried out according to the pipeline data, and monitoring sensors are arranged according to pipeline classification results and the pipeline data, and the monitoring sensors are in classification association;
the pipeline data acquisition module is used for acquiring pipeline data of the natural gas pipeline through the monitoring sensor to obtain an identification component acquisition result;
the component anomaly identification module is used for carrying out acquisition and association on the identification component acquisition result according to the grading association and carrying out component anomaly identification according to the association result, the pipeline flow data, the identification quantity and the source identification characteristic, wherein the component anomaly identification comprises single pipeline component anomaly identification and mixed pipeline component anomaly identification;
the tracking monitoring management module is used for carrying out tracking monitoring management on the natural gas based on the component abnormality identification result of the single pipeline and the component abnormality identification result of the mixed pipeline;
The flow data acquisition unit is used for reading the flow data of the identification component based on the acquisition result of the identification component;
an adjacent association configuration unit, configured to configure an adjacent association of the monitoring sensor, where the adjacent association has a hierarchical association identifier, and when a first single pipeline and a second single pipeline are used as branch pipelines to convey natural gas into a first mixing pipeline for mixing and conveying, the monitoring sensors pre-laid by the first single pipeline, the second single pipeline and the first mixing pipeline have the adjacent association;
the component flow authentication unit is used for performing component flow authentication on the identification component flow data and the pipeline flow data corresponding to the monitoring sensors which are adjacently associated to obtain a component flow authentication result, wherein the component flow authentication result is a peer authentication result, and the component flow authentication result is a judgment result for determining whether the single pipeline has leakage abnormality according to the component flow value in the single pipeline;
the anomaly identification execution unit is used for obtaining the component anomaly identification result of the monomer pipeline from the component flow authentication result;
the node abnormality determining unit is used for carrying out component flow authentication of adjacent nodes on the identification component flow data corresponding to the adjacent associated monitoring sensors and generating abnormality among the nodes according to authentication results;
The component flow authentication unit is used for performing global component flow authentication on the identification component flow data corresponding to the adjacent associated last node and the pipeline flow data to generate global abnormality;
an authentication result obtaining unit configured to generate the component flow authentication result according to the inter-node anomaly and the global anomaly;
the component flow extraction unit is used for extracting identification component flow data of the hierarchical node position according to the hierarchical association identification, wherein the identification component flow data of the hierarchical node position comprises single pipeline identification component flow data and mixed pipeline identification component flow data;
the calculation result generation unit is used for carrying out mixed component calculation based on the mixed pipeline identification component flow data to obtain a calculation result;
the component authentication obtaining unit is used for carrying out component authentication on the calculation result according to the monomer pipeline identification component flow data to obtain a component authentication result;
and the anomaly identification execution unit is used for generating the component anomaly identification result of the mixed pipeline according to the calculation result and the component authentication result.
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