CN116596302A - Buried steel gas pipeline inspection period determining method based on dynamic analysis, electronic equipment and storage medium - Google Patents
Buried steel gas pipeline inspection period determining method based on dynamic analysis, electronic equipment and storage medium Download PDFInfo
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Abstract
The application relates to the technical field of buried pipeline inspection, in particular to a method for determining a buried steel gas pipeline inspection period based on dynamic analysis, which comprises the following steps: respectively extracting a cycle base line value, a risk total score value and a cycle limit value of the steel gas pipeline; judging whether the period limit value is smaller than or equal to the period base line value; if yes, determining the period limit value as a period base value of the gas pipeline of the calculation detection material; and carrying out calculation processing according to the detection period basic value and the risk total score to obtain a detection period final value. The scheme provided by the application can accurately determine the inspection period of the buried steel gas pipeline, and the inspection period of the buried steel gas pipeline is determined in an accurate quantitative mode, so that the fluctuation of the inspection period caused by human judgment factors is eliminated, and the accuracy of the inspection period judgment of the buried steel gas pipeline is greatly improved.
Description
Technical Field
The application relates to the technical field of inspection and inspection of buried pipelines, in particular to a method for determining an inspection period of a buried steel gas pipeline based on dynamic analysis, electronic equipment and a storage medium.
Background
The gas pipeline is one of important infrastructures of cities and is widely used in important fields of urban development, energy supply, people's life and the like, and is called an urban lifeline; the gas pipeline is often spread underground in the whole city, and the pipeline accident potential caused by various factors is not quite a bit as the application range of the gas is wider and the pipeline running time is longer; the occurrence of a series of problems of safe operation of the pipeline network such as out-of-service, damage aging, cathode protection failure and the like of part of pipelines enables hidden danger of pipeline accidents to enter an explosion period from a latency period; meanwhile, in recent years, the rapid development of municipal traffic construction further increases the operating pressure and leakage risk of the gas pipeline, and has great potential safety hazards; at present, the existing pipeline risk evaluation is to perform optimal management and maintenance decision on possible risk links of the pipeline, reduce the probability of accident occurrence or furthest control the accident consequences, and obtain the maximum economic benefit while ensuring the safety of the system.
However, for the gas pipeline used for a long time, the potential risk of the gas pipeline is difficult to find in time by periodic inspection, and the long-term safe and stable use of the gas pipeline is not facilitated, and the current inspection mode only performs inspection on the last inspection and discovery problem, so that the gas pipeline cannot be monitored and recorded in a full period, and the potential risk of the gas pipeline is difficult to determine in time; moreover, if the buried steel gas pipeline is detected only according to a constant detection period, in the time interval of two adjacent detections, an engineer cannot know the actual running condition of the steel gas pipeline, and cannot determine whether the steel gas pipeline has quality risk or not, so that a certain degree of invisible safety risk is caused.
In addition, the current periodic inspection of the gas pipeline is mainly divided into two types, one is that the influence of the pipeline safety risk influence factor on the pipeline needs to be studied from qualitative evaluation to quantitative analysis, so as to determine the inspection period of the gas pipeline (i.e. how long to inspect the gas pipeline), for example: determining a test period by generating the influence of internal stress on the pipeline under-pressure operation on the pressure occupation, settlement and horizontal deviation of the gas pipeline (the risk degree of the pipeline positioning information deviation and settlement condition can be used for exploring and judging); the other is to evaluate the severity of the influence factors on the safety of the pipeline (the functions of suggesting a test period prompt, a high risk position prompt and the like) and provide a comprehensive test period suggestion for the gas pipeline, so as to determine the test period of the gas pipeline and further make a suggestion for performing comprehensive test; however, the two inspection period determining modes cannot accurately determine the actual operation condition of the gas pipeline, and a large number of subjective judgments exist, so that the data judgment of the buried steel gas pipeline cannot be realized, the inspection period of the buried steel gas pipeline cannot be accurately judged in time, and the safe operation of the buried steel gas pipeline cannot be ensured.
In addition, in the existing gas pipeline detection technology and detection specification requirements, the detection period of the gas pipeline is not explicitly and quantitatively evaluated and specifically specified, only the quantitative specification of the detection period interval is provided, the detection process has larger human judgment factors, the safe operation condition of the pressure pipeline cannot be accurately determined, and a certain detection risk exists; furthermore, the gas pipeline detection period is determined, and the defect exists, so that the gas pipeline is detected regularly only according to the preset period, and the actual running condition of the gas pipeline cannot be accurately detected; meanwhile, the service cycle of the gas pipeline is longer, the gas pipeline is inspected in a mode of presetting an inspection cycle, and the problems between two adjacent inspection can not be found, so that the timeliness of the inspection is greatly reduced.
For example, the publication number is CN111612301a, the patent name is "weight self-adjustment based gas buried pipeline leakage risk assessment method and apparatus", which is a chinese invention patent for analyzing and assessing the surrounding environment condition of town gas buried pipelines, specifically, by obtaining the influence feature data of the leakage risk of town gas buried pipelines, a feature set is constructed; preprocessing the influence characteristic data to obtain influence characteristics; determining the risk weight of each influence feature according to the annual occurrence event distribution of each influence feature; establishing a town gas buried pipeline leakage risk assessment model based on each influence characteristic and corresponding weight; calculating a risk value of leakage risk based on the urban gas buried pipeline leakage risk assessment model; classifying the risk values by using a preset classification method, and drawing a pipeline state thematic map; the leakage risk of each pipeline is evaluated according to the pipeline state thematic map, and references are provided for making implementation plans such as operation protection, maintenance modification, technical modification and overhaul of the gas pipeline; however, the assessment method still cannot accurately and periodically quantitatively test and analyze the gas pipeline in real time.
Therefore, how to confirm the inspection cycle of the buried gas pipeline in real time is a technical problem that needs to be solved by the current technicians.
Disclosure of Invention
In order to overcome the problems in the related art, the application provides a method, electronic equipment and a storage medium for determining the inspection period of the buried steel gas pipeline based on dynamic analysis.
The first aspect of the application provides a method for determining the inspection period of a buried steel gas pipeline based on dynamic analysis, which comprises the following steps:
respectively extracting a cycle bottom line value, a risk total score and a cycle limit value of the steel gas pipeline, wherein the cycle bottom line value is an initial inspection cycle value of the steel gas pipeline, the cycle limit value is an inspection cycle maximum value of the steel gas pipeline, and the risk total score is a quality risk assessment total score of the steel gas pipeline; judging whether the period limit value is smaller than or equal to the period base line value; if yes, determining the period limit value as a period base value of the gas pipeline of the calculation detection material; and carrying out calculation processing according to the detection period basic value and the risk total score to obtain a detection period final value.
In one implementation, the calculating process according to the cycle base value and the total risk score includes: calculating the final value of the inspection period of the steel gas pipeline according to a formula I; the formula one:
GD max ＝GD j -a×GD total (S) ；
Wherein the GD max The final value of the test period is represented in years; the GD j The period base value is represented in years; the a represents a correction constant, the GD Total (S) Representing the total risk score.
In one implementation, the method, prior to extracting the cycle floor value of the steel gas pipeline, comprises: obtaining a pipeline thickness value of a steel gas pipeline, wherein the pipeline thickness value is a minimum thickness value of a damaged position of an anticorrosive coating of the steel gas pipeline; calculating the residual life value of the steel gas pipeline according to a formula II, wherein the formula II is as follows:
wherein, the RL represents a remaining life value in years; the C represents a correction coefficient, and the SM represents a ratio of a portion of the steel gas pipeline with a maximum breaking load exceeding a design load to the design load; the t represents the wall thickness of the steel gas pipeline; the GD represents the corrosion rate in mm/year.
In one implementation, after the calculating the remaining life value of the steel gas pipeline according to equation two, the method includes: and judging whether the residual life value is smaller than the period limit value, if so, setting the period limit value as N times of the residual life value, wherein N is smaller than 1 and larger than 0.
In one implementation, the extracting the risk total score is preceded by: extracting a pipeline scoring set in a database according to a user operation instruction, wherein the pipeline scoring set comprises the following elements: third party damage score, pipe corrosion score, pipe operation score, and safety quality score; calculating the total risk score of the steel gas pipeline according to a formula III, wherein the formula III is
S＝S 1 -(bS 11 +cS 12 +dS 13 +eS 14 )；
The S represents the total risk score, the S 1 Representing a preset total score, S 11 Representing a third party damage score, the S 12 Indicating a pipe corrosion score, S 13 Representing pipeline operation score, S 14 Representing a safe quality score, b representing a third party damage score duty cycle, c representing a pipe corrosion score duty cycle, d representing a pipe operation score duty cycle, e representing a safe quality score duty cycle, and the b, c, d, and e add to equal 1.
In one implementation, after the obtaining the end value of the test period, the method includes: judging whether the final value of the test period is larger than the period bottom line value or not; if not, stopping using the steel gas pipeline; if yes, continuing to use the steel gas pipeline.
In one implementation, the extraction of the limit value of the inspection cycle of the steel gas duct is preceded by: acquiring comprehensive detection information of the steel gas pipeline, wherein the comprehensive detection information comprises: a soil corrosion parameter set, a pipeline corrosion parameter set and a stray current parameter set; wherein, the soil corrosion parameter set comprises the following elements: soil resistivity, natural corrosion potential of a pipeline, oxidation-reduction potential, soil PH value, soil texture, soil moisture content, soil salt content and soil chloride ion content; the pipeline corrosion parameter set comprises the following elements: the outer layer anticorrosion resistivity and the outer layer breakage density parameters; the stray current parameter set comprises the following elements: stray current interference parameters, cathode operation rate, cathode protection rate, interference tube ground potential and point location average value ratio; and respectively carrying out quantitative treatment on the comprehensive detection information according to a fuzzy comprehensive evaluation method to obtain a limit value of the inspection period.
In one implementation method, the quantitative processing of the comprehensive detection information according to the fuzzy comprehensive evaluation method includes: establishing a pipeline factor set, wherein the pipeline factor set is a factor influencing corrosion of a buried steel pipeline; establishing a pipeline evaluation set, wherein the pipeline evaluation set is determined based on the soil corrosion parameter set, the pipeline corrosion parameter set and the grading evaluation of the stray current parameter set; the pipeline evaluation sets are sets corresponding to the pipeline factor set evaluation registration grades, and one pipeline evaluation set respectively corresponds to the grading evaluation of each element in the pipeline factor set.
In one implementation, the set of pipeline factors includes the following five elements: the conditions of the outer anti-corrosion layer, the effectiveness of cathode protection, the corrosiveness of soil, the interference of stray current and the drainage protection effect; the pipeline evaluation set comprises the following four elements: a first level range value, a second level range value, a third level range value, and a fourth level range value; the first level range value, the second level range value, the third level range value, and the fourth level range value are all within a value of 0-100, and a minimum value of the first level range value is greater than a maximum value of the second level range value, a minimum value of the second level range value is greater than a maximum value of the third level range value, and a minimum value of the third level range value is greater than a maximum value of the fourth level range value.
In one implementation, after the establishing the pipe factor set, before the extracting the inspection cycle limit for the steel gas pipe, further comprising; establishing a pipeline membership set, wherein the pipeline membership function is a membership function corresponding to each element in the pipeline factor set; according to the pipeline membership set, sequentially calculating membership values corresponding to each element in the pipeline factor set to obtain a single factor evaluation vector corresponding to each element in the pipeline factor set; and generating a single-factor evaluation matrix of the buried steel pipeline based on the single-factor evaluation vector corresponding to each element in the pipeline factor set.
In one implementation, after the generating the single factor evaluation matrix for the buried steel pipe, before the extracting the inspection cycle limit for the steel gas pipe, further comprises: determining the weight of each element in the pipeline factor set according to an analytic hierarchy process to obtain a pipeline weight vector of the steel gas pipeline; establishing a pipeline judgment matrix, wherein the pipeline judgment matrix is determined according to two pipeline factor sets in a pairwise comparison manner; calculating the maximum characteristic root of the pipeline judgment matrix according to a method, wherein the characteristic vector of the pipeline judgment matrix corresponding to the maximum characteristic root is the weight value of each element in the pipeline factor set; and calculating the comprehensive evaluation result of the steel gas pipeline based on the maximum characteristic root and the single factor evaluation matrix to obtain the average score value of the steel gas pipeline.
In one implementation, after the obtaining of the average score value for the steel gas pipeline, before the extracting of the inspection cycle limit value for the steel gas pipeline, comprising:
comparing the average score value with each element in the pipeline evaluation set respectively;
if the average score value is within the first range value, determining that the buried steel gas pipe is completely safe, the steel gas pipe being effectively usable within a 6 year inspection period, and setting the period limit value to 6 years;
if the average score value is within the second range value, determining that the buried steel gas pipe is substantially safe, the steel gas pipe being effectively usable for a test period of 3 to 6 years, and setting the period limit value to 6 years;
if the average score value is within the third range value, determining that the condition of the buried steel gas pipe is poor, the steel gas pipe being effectively usable for a test period of 1 to 3 years, and setting the period limit value to 3 years;
if the average score value is within the fourth range value, severe damage to the buried steel gas pipe is determined, the steel gas pipe is not in use, and a warning signal is sent.
A second aspect of the present application provides an electronic device, comprising:
A processor; and
a memory having executable code stored thereon which, when executed by the processor, causes the processor to perform the method as described above.
A third aspect of the application provides a non-transitory machine-readable storage medium having stored thereon executable code which, when executed by a processor of an electronic device, causes the processor to perform the method as described above.
The technical scheme provided by the application can comprise the following beneficial effects:
in the technical scheme, the cycle bottom line value, the total risk score and the cycle limit value of the buried steel gas pipeline are respectively extracted, wherein the cycle bottom line value is an initial inspection cycle value of the steel gas pipeline, the cycle limit value is an inspection cycle maximum value of the steel gas pipeline, and the total risk score is a quality risk assessment total score of the steel gas pipeline; when the period limit value is smaller than or equal to the period bottom line value, determining the period limit value as a period base value of the gas pipeline of the detection material, and then carrying out calculation processing according to the detected period base value and the total risk score to obtain a detection period end value, thereby accurately determining the detection period of the buried steel gas pipeline, carrying out detection period determination on the buried steel gas pipeline in an accurate quantitative mode, eliminating detection period fluctuation caused by human judgment factors, and greatly improving the accuracy of detection period judgment of the buried steel gas pipeline; in addition, according to the technical scheme, the practical cycle bottom line value, the risk total score and the cycle limit value of the buried steel gas pipeline are used for calculating and determining the inspection cycle of the pipeline, and the buried steel gas pipeline is monitored in real time by combining the artificial subjective judgment and the factors existing in the actual and objective scene, so that the inspection cycle of the buried steel gas pipeline is accurately determined, the potential risk existing in the buried steel gas pipeline can be timely found, and the long-term safe and stable use of the buried steel gas pipeline is ensured.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application as claimed.
Drawings
The foregoing and other objects, features and advantages of the application will be apparent from the following more particular descriptions of exemplary embodiments of the application as illustrated in the accompanying drawings wherein like reference numbers generally represent like parts throughout the exemplary embodiments of the application.
FIG. 1 is a flow chart of a method for determining a verification period of a buried steel gas pipeline according to an embodiment of the present application;
FIG. 2 is a schematic flow diagram illustrating an embodiment of the present application prior to extraction of the inspection cycle limit for steel gas pipelines;
fig. 3 is a schematic flow chart after generating a single factor evaluation matrix for buried steel pipes according to an embodiment of the present application.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Preferred embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While the preferred embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the application to those skilled in the art.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.
It should be understood that although the terms "first," "second," "third," etc. may be used herein to describe various information, these information should not be limited by these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the application. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present application, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
Aiming at the problems, the embodiment of the application provides a method for determining the inspection period of the buried steel gas pipeline based on dynamic analysis, which can accurately determine the inspection period of the buried steel gas pipeline, and can determine the inspection period of the buried steel gas pipeline in real time, thereby greatly improving the inspection timeliness of the buried steel gas pipeline, timely finding out the potential risk of the buried steel gas pipeline and ensuring the long-term safe and stable use of the buried steel gas pipeline.
The following describes the technical scheme of the embodiment of the present application in detail with reference to the accompanying drawings.
FIG. 1 is a flow chart of a method for determining a verification period of a buried steel gas pipeline according to an embodiment of the present application.
Referring to fig. 1, an embodiment (embodiment one) of a method for determining a test cycle of a buried steel gas pipe according to an embodiment of the present application includes:
101. respectively extracting a cycle bottom line value, a risk total score and a cycle limit value of the steel gas pipeline, wherein the cycle bottom line value is an initial inspection cycle value of the steel gas pipeline, the cycle limit value is an inspection cycle maximum value of the steel gas pipeline, and the risk total score is a quality risk assessment total score of the steel gas pipeline;
in the embodiment, in order to solve the problem of inaccurate inspection cycle of the existing steel gas pipeline, so as to reduce the accident probability of the steel gas pipeline, and control the loss of the steel gas pipeline after the accident to the maximum extent after the accident of the steel gas pipeline, and ensure that the system of the urban gas pipeline can obtain the maximum economic benefit; according to the method, the real-time data of internal stress to the pipeline are generated by acquiring the occupation pressure, sedimentation and horizontal offset of the gas pipeline, and the inspection period of the steel gas pipeline is dynamically determined based on the actual data, so that the inspection period of the steel gas pipeline can be accurately determined, the steel gas pipeline is actually inspected through the inspection period, and smooth operation of the steel gas pipeline is ensured.
In order to ensure that the calculated inspection period of the steel gas pipeline is closest to the actual situation, so that the internal situation of the buried steel gas pipeline can be directly known, the internal information data of the buried steel gas pipeline obtained according to various sensors is directly extracted, and the calculated period base line value, the risk total score value and the period limit value are stored in a database for calling through the processing of the information data; for this reason, the cycle bottom line value in this example refers to an initial inspection cycle value of the steel gas pipeline, which is an empirical value determined based on multiple inspections of the steel gas pipeline, and is a cycle value designed by inspecting the steel gas pipeline for the first time after the steel gas pipeline is first installed; the cycle limit value refers to a maximum value of the inspection cycle of the steel gas pipeline, and the maximum value of the inspection cycle is a maximum cycle value determined by analysis and calculation according to the internal information data of the buried steel gas pipeline; the total risk score refers to a total quality risk assessment score of the steel gas pipeline, wherein the total quality risk assessment score is a numerical value obtained by carrying out quality risk scoring by an expert and calculating and determining by matching with the proportion of each item of data.
For example, risk assessment is carried out on urban gas buried pipeline leakage through an expert, so that risk scores of the expert on the steel gas pipeline (namely, total risk scores of the steel gas pipeline are extracted), and the determined risk assessment scores of the steel gas pipeline are obtained; and then inspecting the steel gas pipe for the first time by extracting a period value (i.e., an empirical value determined based on inspecting the steel gas pipe a plurality of times); then, the buried steel gas pipeline is subjected to real-time inspection cycle determination from the three sides through the extracted cycle limit value (namely, the maximum cycle value determined by analysis and calculation according to the internal information data of the buried steel gas pipeline); specifically, the inspection cycle of the steel gas pipeline in the embodiment is determined mainly by two aspects of detection and evaluation; firstly, evaluating the leakage risk of a pipeline caused by corrosion, and evaluating the corrosion risk of the buried pipeline according to relevant standards by investigating the soil corrosiveness, stray current interference, external anticorrosive layer conditions and cathodic protection effects along the buried pipeline or directly detecting the pipeline body, and then, based on each detection index, adopting a fault tree analysis method and a fuzzy comprehensive evaluation method based on analytic hierarchy process and expert scoring to establish a corrosion risk evaluation model to evaluate the corrosion risk of the buried pipeline so as to realize risk detection of town gas buried pipelines; secondly, evaluating the leakage risk of the pipeline caused by non-corrosive factors, based on various factors such as Guan Ling, external damage, pipeline aging and the like which influence the condition of the pipeline, then combining expert opinion through a Delphi method or a analytic hierarchy process to determine the importance degree of various factors on the leakage risk, namely determining the weight of each risk index, and then calculating and grading the leakage risk of the urban gas pipeline; the two ways are adopted to realize the determination of the inspection period of the buried steel gas pipeline; the weight refers to the importance of a certain factor or index relative to a certain object, and is different from the general proportion in that the weight not only represents the percentage of the certain factor or index.
It should be noted that the risk evaluation method is applicable to the buried steel gas pipeline, and in this example, the risk evaluation of the steel gas pipeline may also be determined by using semi-quantitative evaluation methods such as kent method, fuzzy mathematic method, etc. for the test period; compared with the prior art, the semi-quantitative evaluation methods have the advantages that an accurate mathematical model and a complete set of calculation method are not established, so that the accuracy of an evaluation result is affected and the method cannot be truly close to a steel gas pipeline in use, and therefore, the buried steel gas pipeline is evaluated by adopting a risk evaluation method, so that the method has high accuracy.
In practical application, because of the complexity and invisibility of urban gas buried pipeline laying, the leakage detection and positioning of the gas pipeline are key technical points of the current pipeline detection, and are the preconditions for performing the work of corrosion prevention detection, pressure pipeline detection and the like of daily operation and the original specified index detection standard; however, in the current working method, the pipeline which is actually developed and detected only occupies a small proportion of the whole pipeline network due to the condition constraints such as detection cost, manpower and equipment resources, technical feasibility and the like, a large amount of data are not well developed and utilized in the above working, certain information redundancy exists among indexes, and the detection of the pipeline is still based on experience, so that the waste and arrangement of the detection cost, manpower and equipment cost are unreasonable; therefore, the internal information data of the buried steel gas pipeline is acquired in real time, so that the inspection period of the steel gas pipeline is accurately determined, the buried steel gas pipeline is detected in the field according to the inspection period, and finally, the buried steel gas pipeline is accurately maintained, and the normal operation of the steel gas pipeline is ensured.
102. Judging whether the period limit value is smaller than or equal to the period base line value or not;
in this embodiment, after the cycle bottom line value, the risk total score value and the cycle limit value of the steel gas pipeline are extracted respectively, in order to avoid the phenomenon that the steel gas pipeline is prevented from being damaged and accident, the steel gas pipeline is checked and cycle determined to cause resource waste; the method also needs to judge the period limit value and the period bottom line value, and further determines whether the period limit value is suitable for being used as a numerical value for calculating and checking the period by determining the difference between the period limit value and the period bottom line value, and meanwhile, the condition that the quality problem of the steel gas pipeline occurs and cannot be known actually can be avoided.
For example, determining whether the steel gas pipe is operating properly and whether a specific error occurs by determining whether the cycle limit is less than or equal to the cycle floor; specifically, whether the actual steel gas pipeline running is wrong or the electrical element fails can be determined by judging whether the period limit value is smaller than or equal to the period bottom line, so that the accuracy of determining the test period is improved.
103. If yes, determining the period limit value as a period base value of the gas pipeline of the calculation detection material;
in this embodiment, in order to avoid the problem of failure or damage of the steel gas pipeline in practical application, by judging whether the period limit value is less than or equal to the period bottom line value, when the period limit value is less than or equal to the period bottom line value, it is proved that the current steel gas pipeline has no failure or damage problem, and meanwhile, the period limit value is also indicated to be within a reasonable inspection period; when the period limit value is larger than the period bottom line value, the problem that the measurement and calculation of the obtained steel gas pipeline are inaccurate is indicated, and further the problem that the steel gas pipeline is faulty or damaged in practical application can be indicated; in addition, when the cycle limit value is less than or equal to the cycle base line value, in order to ensure the inspection cycle accuracy of the steel gas pipeline, the cycle limit value is determined as a cycle base value of the calculated detection material gas pipeline, and the cycle base value is used as a base value of the calculated steel gas pipeline.
104. And carrying out calculation processing according to the detection period basic value and the risk total score to obtain a detection period final value.
In this embodiment, in order to accurately determine the inspection cycle of the steel gas pipeline, so as to prevent the occurrence of a situation that the monitoring personnel fails in the steel gas pipeline is not known, in this example, the inspection cycle final value is obtained by calculation according to the detection cycle basic value and the risk total score, so that the inspection cycle of the steel gas pipeline is accurately determined.
For example, the above-mentioned calculation processing according to the cycle base value and the total risk score specifically includes:
calculating according to a formula I, wherein the formula I is:
GD max ＝GD j -a×GD total (S) ；
Moreover, the GD max The final value of the test period is represented in years; the GD j The period base value is represented in years; the a represents a correction constant, the GD Total (S) Representing the total risk score.
In the embodiment, the final value of the inspection period is calculated and determined through the correction constant, the period base value and the risk total score of the steel gas pipeline, so that the inspection period of the steel gas pipeline is determined; specifically, obtaining a maximum inspection period limit value, calculating a total risk score of the steel gas pipeline, taking the correction constant to be 0.375, and calculating an inspection period end value based on a formula I; the correction constant is determined according to an empirical value, and because the loss of the steel gas pipeline is different in different sections and different in buried soil, the actual environment facing the steel gas pipeline in each section is different, so that the numerical value of the subjective risk evaluation part needs to be corrected to ensure that the calculated inspection period is close to the actual condition.
For example: in the embodiment, the cycle bottom line value, the total risk score and the cycle limit value of the buried steel gas pipeline are respectively extracted, wherein the cycle bottom line value is an initial inspection cycle value of the steel gas pipeline, the cycle limit value is an inspection cycle maximum value of the steel gas pipeline, and the total risk score is a quality risk assessment total score of the steel gas pipeline; when the period limit value is smaller than or equal to the period bottom line value, determining the period limit value as a period base value of the gas pipeline of the detection material, and then carrying out calculation processing according to the detected period base value and the total risk score to obtain a detection period end value, thereby accurately determining the detection period of the buried steel gas pipeline, carrying out detection period determination on the buried steel gas pipeline in an accurate quantitative mode, eliminating detection period fluctuation caused by human judgment factors, and greatly improving the accuracy of detection period judgment of the buried steel gas pipeline; in addition, the technical scheme calculates and determines the inspection period of the pipeline by combining the actual period bottom line value, the total risk score and the period limit value of the buried steel gas pipeline, and monitors the buried steel gas pipeline in real time by combining the artificial subjective judgment and the factors existing in the actual and objective scene, so that the inspection period of the buried steel gas pipeline is accurately determined, the existing potential risk of the buried steel gas pipeline can be timely found, and the long-term safe and stable use of the buried steel gas pipeline is ensured.
In addition, after obtaining the inspection cycle end value, in order to inspect whether the steel gas pipeline can be used continuously, the quality risk of the steel gas pipeline needs to be determined, and for this purpose, the present pipeline quality condition is determined based on the inspection cycle end value and the cycle bottom line value of the steel gas pipeline, specifically, whether to use the steel gas pipeline continuously is determined by determining whether the inspection cycle end value is greater than the cycle bottom line value; when the final value of the inspection period is larger than the period bottom line value, the steel gas pipeline is proved to be still in a reasonable service life, and the steel gas pipeline can be continuously used; when the final value of the inspection period is smaller than the period bottom line value, the service life of the steel gas pipeline is proved to reach the critical value, and the quality problem is possibly caused at any time, so that the safety accident is caused, and the steel gas pipeline is stopped to be used immediately, so that the safety of residents in towns using gas is ensured.
In addition, it should also be noted that, since the cycle bottom value refers to the cycle value designed for first checking the steel gas pipeline, that is, the safety period for first installation and use of the cycle bottom value is described, the checking is not needed in the period; however, since the steel gas pipeline is buried and the pollution degree is different from one section to another, the quality of the steel gas pipeline can be effectively and accurately judged by taking the periodic bottom line value as the basis for judging whether the quality problem occurs in the steel gas pipeline.
Example two
In the embodiment, in order to accurately determine the inspection period of the steel gas pipeline, the accuracy of the inspection period of the steel gas pipeline is improved, and faults and leakage of the steel gas pipeline in the inspection period are prevented; for this purpose, in this example, the inspection period of the steel gas pipeline is calculated and determined by extracting the period base line value, the risk total score value and the period limit value of the steel gas pipeline respectively; specifically, before the total risk score is extracted, risk scores are scored on third party damage conditions, pipeline corrosion conditions, pipeline running conditions and pipeline safety quality conditions of the steel gas pipeline, and the third party damage scores, the pipeline corrosion scores, the pipeline operation scores and the safety quality scores form a pipeline score set, and the pipeline scores are assembled and transferred to a database.
In the actual execution process, the embodiment extracts a pipeline grading set in a database according to a user operation instruction, calculates the total score of the steel gas pipeline by carrying out operation processing on data in the pipeline grading set, carries out risk grading on the steel gas pipeline from a plurality of aspects, comprehensively determines the risk of the current steel gas pipeline, ensures that the calculated inspection period limit value is closest to the running condition of the buried steel gas pipeline, and carries out periodic inspection on the steel gas pipeline based on the inspection period end value so as to ensure the normal running of the gas pipeline;
Specifically, in order to improve the accuracy of the total risk score and further ensure the accuracy of the final value of the inspection period, the total risk score of the steel gas pipeline is calculated through a formula III; wherein the formula III is
S＝S 1 -(bS 11 +cS 12 +dS 13 +eS 14 )；
Moreover, since the steel gas pipeline is affected in various aspects during use and the damage degree of various factors to the pipeline is different, the method realizes accurate determination of the total risk score of the steel gas pipeline by dividing the ratio of the various factors, specifically, the S in the formula III represents the total risk score, and the S 1 Representing a preset total score, S 11 Representing third party damage scoreThe S is 12 Representing a pipe corrosion score, the S 13 Representing pipeline operation score, S 14 Representing a safety quality score, b representing a third party damage score duty cycle, c representing a pipe corrosion score duty cycle, d representing a pipe operation score duty cycle, e representing a safety quality score duty cycle, and the b, c, d, and e add to equal 1.
For example, according to the cycle bottom line value and the cycle limit value, a risk assessment method is adopted for the buried steel gas pipeline, so that the following corresponding four scores are obtained: third party destruction score S 1 Pipeline corrosion score S 12 Pipeline operation score S 13 And a safety quality score S 14 Will preset the total score S 1 Set to 100 points and score the third party damage score S 1 Pipeline corrosion score S 12 Pipeline operation score S 13 And a safety quality score S 14 The ratio coefficients of the steel gas pipeline are set to be 0.3, 0.1 and 0.3 in sequence, and then are substituted into a formula III, and the total risk score of the steel gas pipeline is calculated.
Example III
In the embodiment, in order to accurately determine the inspection period of the steel gas pipeline, the accuracy of the inspection period of the steel gas pipeline is improved, and faults and leakage of the steel gas pipeline in the inspection period are prevented; for this purpose, in this example, the inspection period of the steel gas pipeline is calculated and determined by extracting the period base line value, the risk total score value and the period limit value of the steel gas pipeline respectively; specifically, before the cycle bottom line value of the steel gas pipeline is extracted, the pipeline thickness value of the steel gas pipeline is obtained, and the service life of the whole steel gas pipeline is judged according to the pipeline thickness value, so that the residual service life value of the steel gas pipeline is determined, and the inspection cycle of the steel gas pipeline is determined based on the residual service life value, so that the problems of damage to the pipeline or gas leakage are prevented; the thickness value of the pipeline in the embodiment refers to the thickness value with the greatest damage degree of the corrosion-resistant layer of the steel gas pipeline, and whether the pipeline can be continuously used or not is determined by detecting the minimum thickness value of the corrosion-resistant layer of the steel gas pipeline, so that safety accidents are prevented from being caused.
Specifically, the remaining life value of the steel gas pipeline is calculated according to a formula II, wherein the formula II is as follows:
moreover, in order to measure and calculate according to the actual situation of the steel gas pipeline, the cycle limit value is determined according to the residual life value, so that the steel gas pipeline is inspected at regular intervals within a passing range, and the buried steel gas pipeline can be maintained and overhauled continuously; meanwhile, in order to prevent the gas pipeline from suddenly leaking and damaging, the accuracy of the inspection cycle of the steel gas pipeline is improved, and the inspection cycle (namely, the cycle limit value) of the steel gas pipeline is determined by using the residual life value of the steel gas pipeline; wherein RL in the formula II represents a residual life value in years, C represents a correction coefficient, and SM represents a ratio of a portion of the steel gas pipeline, the maximum damage load of which exceeds the design load, to the design load; t is the wall thickness of the steel gas pipeline; the GR represents the corrosion rate in mm/year.
Specifically, in the embodiment, calculating a residual life value of the steel gas pipeline through a formula II, and then, carrying out assignment on the period limit value again by judging whether the residual life value is smaller than the period limit value; if the residual life value is smaller than the cycle limit value, the actual loss of the steel gas pipeline exceeds the currently calculated cycle limit value, the actual loss of the steel gas pipeline far exceeds the expected value, and the risk of gas leakage exists; therefore, the cycle limit value needs to be set, and in order to meet the practical inspection criteria, the cycle limit value needs to be set to a value that is 0.5 times the remaining life value, i.e., the cycle limit value is reassigned to a remaining life value equal to one-half.
In addition, the cycle limit value is set to be N times of the residual life value, and the N value can be adjusted according to the actual wear rate so as to be convenient for adaptively calculating the steel gas pipeline inspection cycles with different wear degrees; in this example, by setting N to 0.5, the appropriate test period can be best approached.
Because the steel gas pipeline is buried underground, the joint between the steel gas pipelines is extremely easy to leak, and components in soil can corrode the steel gas pipeline, so that the service life of the steel gas pipeline is reduced, the steel gas pipeline is regularly maintained through a preset inspection period, the steel gas pipeline cannot be ensured to normally operate, and the safety risk exists; in addition, geological disasters such as landslide, collapse, debris flow, ground collapse, ground subsidence, ground cracks and other natural disasters can also occur in the practical application environment; due to geological changes, alternating stress in the steel gas pipeline is influenced, and the pipeline is seriously leaked; in addition, the change of the ambient temperature can also influence the alternating stress of the pipeline, and the alternating stress generated by thermal expansion and cold contraction can lead to uneven temperature distribution of the whole pipeline section and influence the use effect of the pipeline.
For this purpose, the test cycle limit is also determined accurately, in particular, according to the environment in which the steel gas pipe is actually subjected:
referring to fig. 2, fig. 2 is a diagram showing an embodiment (fourth embodiment) before the inspection cycle limit for extracting steel gas pipes according to the embodiment of the present application, including:
201. acquiring comprehensive detection information of the steel gas pipeline, wherein the comprehensive detection information comprises: a soil corrosion parameter set, a pipeline corrosion parameter set and a stray current parameter set;
in this embodiment, since the steel gas pipeline is buried underground, the environment facing the steel gas pipeline is complex and changeable, and various natural erosion phenomena occur in the underground, so that quality safety problems such as leakage, breakage and bending of the steel gas pipeline can occur, and all the problems are caused by various factors, it is most critical how to accurately determine the real situation of the steel gas pipeline and calculate the accurate cycle bottom value, and then the determination of the correction constant and the determination of the total risk score are performed.
Therefore, it is necessary to detect and acquire comprehensive detection information of the steel gas pipeline, wherein the comprehensive detection information comprises: a soil corrosion parameter set, a pipeline corrosion parameter set and a stray current parameter set; moreover, in practical applications, this example is performed by obtaining the following elements in the soil erosion parameter set: soil resistivity, natural corrosion potential of a pipeline, oxidation-reduction potential, soil PH value, soil texture, soil moisture content, soil salt content and soil chloride ion content; and obtaining the following elements in the pipeline corrosion parameter set: the outer layer anticorrosion resistivity and the outer layer breakage density parameters; and obtaining the following elements in the stray current parameter set: stray current interference parameters, cathode operation rate, cathode protection rate, interference tube ground potential and point location average value ratio; specifically, the buried steel gas pipeline is judged on the basis of various parameters of the steel gas pipeline, and the period determination parameters required by follow-up are accurately calculated.
202. And respectively carrying out quantitative treatment on the comprehensive detection information according to a fuzzy comprehensive evaluation method to obtain a limit value of the inspection period.
In this embodiment, on the premise of being based on the soil corrosion parameter set, the pipeline corrosion parameter set and the stray current parameter set of the steel gas pipeline, the three parameter sets are quantitatively processed by adopting a fuzzy comprehensive evaluation method, and an accurate inspection period limit value is calculated according to the actual condition of the steel gas pipeline, so that the defect that an engineer cannot know the actual running condition of the steel gas pipeline in the time interval of two adjacent detections is overcome, and the quality risk of the steel gas pipeline is accurately evaluated, thereby accurately judging the inspection period of the buried steel gas pipeline.
Specifically, the method includes the steps of establishing a pipeline factor set and a pipeline evaluation set, wherein the pipeline factor set in the method is a factor set for influencing the corrosion of a buried steel pipeline, and the pipeline evaluation set is an evaluation set determined based on the soil corrosion parameter set, the pipeline corrosion parameter set and the grading evaluation of the stray current parameter set; in addition, in order to ensure the consistency of the data and improve the accuracy, in the embodiment, the pipeline evaluation set is set corresponding to the pipeline factor set evaluation registration grade, so that one pipeline evaluation set correspondingly determines the grading evaluation of each element in the pipeline factor set, the data correspondence is realized, and the accuracy is improved.
In practical application, the method is based on practical conditions faced by the buried steel gas pipeline, and determines factors causing corrosion to the steel gas pipeline as a pipeline factor set, wherein the pipeline factor set can be mainly divided into the following five elements: the conditions of the outer anti-corrosion layer, the effectiveness of cathode protection, the corrosiveness of soil, the interference of stray current and the drainage protection effect; comprehensively matching the pipeline factor set with the soil corrosion parameter set, the pipeline corrosion parameter set and the stray current parameter set, and performing fuzzy comprehensive evaluation on the parameter sets to determine main elements of the pipeline factor set; specifically, the performance quality of each element in the pipeline factor set is determined by the evaluation indexes of the soil corrosion parameter set, the pipeline corrosion parameter set and the stray current parameter set respectively;
moreover, in order to facilitate the division of the safety level range value of the steel gas pipeline, the safety level range value of the pipeline evaluation set is determined according to an empirical value, and the evaluation class of the buried steel gas pipeline is divided into four parts, wherein the pipeline evaluation set is respectively four elements: a first level range value, a second level range value, a third level range value, and a fourth level range value; furthermore, to ensure continuity, the first, second, third and fourth level range values are all within the values 0-100 (the higher the range value, the lower the corrosion level of the steel gas pipe is, and conversely, the greater the corrosion level of the steel gas pipe is, the need to perform maintenance or repair as soon as possible is indicated), and furthermore, to accurately determine the inspection cycle of the steel gas pipe, the present example also sets the minimum value of the first level range value to be greater than the maximum value of the second level range value, the minimum value of the second level range value to be greater than the maximum value of the third level range value, and the minimum value of the third level range value to be greater than the maximum value of the fourth level range value; to ensure continuity from grade to grade, thereby facilitating accurate calculation and determination of the inspection cycle of the steel gas pipeline.
For example, the present example determines by evaluating vectors for each element in the set of pipeline factors, including the steps of:
step 1: establishing a pipeline membership set, wherein the pipeline membership function is a membership function corresponding to each element in the pipeline factor set;
specifically, because the pipe factor set is a main factor set for comprehensively evaluating the buried steel gas pipe, five elements corresponding to the inside, namely the condition of an outer anti-corrosion layer, the effectiveness of cathodic protection, the corrosiveness of soil, the interference of stray current and the effect of drainage protection are adopted, in the embodiment, the real situation of the steel gas pipe is determined by performing risk evaluation on the five factors influencing the corrosion of the buried steel pipe; in practice, a pipe membership set needs to be established, wherein five membership function elements are correspondingly arranged in the pipe membership set (i.e., the pipe membership function is a membership function set corresponding to each element in the pipe factor set); for this reason, when risk evaluation is performed on the above five factors affecting the corrosion of the buried steel pipe, the pipe evaluation set is determined by evaluation based on the respective parameters inside the soil corrosion parameter set, the pipe corrosion parameter set, and the stray current parameter set.
In particular, the membership function (membership function) refers to a mathematical tool for characterizing fuzzy sets; for example, to describe the membership of element U to a fuzzy set on U, it will be described with the value taken from interval 0,1 instead of the two values 0,1, because of the ambiguity of this relationship, indicating the "degree of realism" to which the element belongs to a fuzzy set; for example, prime numbers are a set, integer 3 belongs to prime numbers indicating a function of 1, and integer 4 does not belong to prime numbers indicating a function of 0; however, in practical applications, there may not be such a clear definition for fuzzy sets, or, for example: assuming that the fat is a fuzzy set, it is possible that a person weighing 80 kg has a membership function of 0.9 and a person weighing 70 kg has a membership function of 0.8; the method and the device realize the calculation of the membership value corresponding to each element in the pipeline factor set, so as to determine the single factor evaluation vector corresponding to each element in the pipeline factor set.
Step 2: according to the pipeline membership set, sequentially calculating membership values corresponding to each element in the pipeline factor set to obtain a single factor evaluation vector corresponding to each element in the pipeline factor set;
(1) For the one-factor evaluation vector determination of the element "outer corrosion protection layer condition" in the pipe factor set (R is used in this example 1 A single factor evaluation vector representing the "outer anticorrosive coating condition"), in this example, the single factor evaluation vector of the "outer anticorrosive coating condition" is obtained by evaluating the outer anticorrosive coating resistivity and the damage point density in the comprehensive detection information, comprehensively determining the current attenuation rate by acquiring the current attenuation rate, and then calculating the membership function; or when the membership degree does not need to be calculated, the example can calculate the single factor evaluation vector according to the membership function and correspond to the four grade range values of the pipeline evaluation set; calculating a single factor evaluation vector R by membership function 1 By combining R 1 Comparing with the empirical value to determine R 1 Specific numerical values; because the outer anticorrosive coating condition has only two classification results of qualification and disqualification, in the example, after the comparison result is determined, one group of vectors is directly selected (when passing, one passing vector is randomly selected as a single factor evaluation vector, otherwise, one dispassing vector is randomly selected as a single factor evaluation vector), and R1 is directly selected and determined according to the comparison result.
(2) For "cathodic protection effectiveness" one-factor evaluation vector determination (R for this example 21 A one-factor evaluation vector representing "cathodic protection effectiveness"),the method comprises the steps of obtaining the ground potential and the cathodic protection rate of an interference pipe of a steel gas pipeline, evaluating the cathodic protection effectiveness based on evaluation indexes such as the protection degree and the operation rate of the steel gas pipeline, determining an evaluation vector of the cathodic protection effectiveness according to the evaluation result after comparison only in two conditions of qualification and disqualification, wherein the evaluation results of passing and failing correspond to a first grade range value and a fourth grade range value in pipeline evaluation set respectively, and actually do not need to calculate the membership degree of the cathodic protection effectiveness; when any element in the stray current parameter set is a failed evaluation index during comparison evaluation, determining that the evaluation result of the cathode protection effectiveness is failed, and generating a corresponding evaluation vector; similarly, when the stray current interference parameter, the cathode operation rate, the cathode protection rate, the interference tube ground potential and the point position average value ratio all meet the evaluation indexes, determining that the evaluation result of the cathode protection effectiveness is qualified, and generating a corresponding evaluation vector; wherein each element in the set of stray current parameters is determined by comparing with an empirical value, by which it is determined whether the "cathodic protection effectiveness" is acceptable.
(3) For the one-factor evaluation vector determination of "soil corrosiveness" (R for this example 3 A single factor evaluation vector representing "soil corrosiveness") is obtained by obtaining evaluation indexes such as soil resistivity, natural corrosion potential, oxidation-reduction potential, soil pH value, soil texture, soil moisture content, soil salt content, soil chloride ion content and the like in a buried steel gas pipeline, calculating the scores of the evaluation indexes according to the evaluation indexes respectively, comparing the scores with corresponding empirical values, finally determining the classification grade of the "soil corrosiveness" and the corresponding evaluation index scores of the classification grades, calculating the sum of 8 evaluation index scores, and calculating the soil corrosiveness evaluation vector through a membership function, thereby obtaining the evaluation vector of the "soil corrosiveness"; in practical use, moreover, if one of the 8 indexes is evaluatedWhen the steel gas pipeline cannot be accurately obtained, the evaluation index score of the defect can be estimated according to the actual situation and the experience value, so that each evaluation index score in 8 indexes is determined, the inspection period of the steel gas pipeline is calculated, and excessive errors are avoided.
(4) One-factor evaluation vector determination for "spurious current interference" (R for this example 4 A single factor evaluation vector representing "stray current interference"), based on a stray current parameter set (stray current interference parameter, cathode operation rate, cathode protection rate, interference tube ground potential and point position average value ratio), by obtaining a tube ground potential forward offset value or a ground potential gradient value of a soil surface, which is actually detected, as a basic parameter, evaluating by using the above evaluation index, and calculating an evaluation vector of "stray current interference" thereof according to a membership function; in practical application, the alternating current interference is evaluated by taking the alternating current interference voltage and the alternating current density of the pipeline as evaluation indexes, when the alternating current interference voltage at any point on the pipeline is smaller than 4V, the alternating current interference is considered to be absent, the evaluation vector of the stray current interference is directly determined to be a bit vector and a lattice vector, and no alternating current interference protection measure is adopted; when the voltage is higher than 4V, alternating current density is used as an evaluation index, and an evaluation vector of 'stray current interference' is calculated according to a membership function; for the case that the stray current interference is found, but the direct current interference or the alternating current interference cannot be judged, the fluctuation value of the ground potential of the pipe or the fluctuation value of the induced current is actually detected to serve as an evaluation index, and a single factor evaluation vector of the stray current interference is calculated according to a membership function;
It should be noted that, when calculating the single factor evaluation vector of "stray current interference" by the membership function, when the evaluation criterion does not correspond to only four level ranges in the pipeline evaluation set, the present example may equally divide one interval into two intervals by interpolation, expand the value range of the evaluation index from the surface to correspond to four level ranges in the pipeline evaluation set, that is, to correspond to the 4 levels of "first level range value, second level range value, third level range value and fourth level range value" in the pipeline evaluation set, respectively, and select the corresponding membership function to calculate the single factor evaluation vector of "stray current interference" according to the case that the smaller the index value is, the safer.
(5) One-factor evaluation vector determination for "drainage protection effect" (R for this example 5 A single factor evaluation vector representing "drainage protection effect"), since the evaluation result is only two cases of pass and fail, whether it is a direct current drainage protection effect evaluation or an alternating current drainage protection effect evaluation; for this purpose, the present example can evaluate the dc drainage protection effect by calculating the potential average value based on the pipe ground potential at the time of the interference actually detected, and the ac drainage protection effect by actually detecting the value of the soil resistivity around the pipe to be detected, and then evaluating the drainage effect based on the pipe ac interference voltage (soil resistivity is 25 Ω·m) and the ac current density (soil resistivity is > 25 Ω·m), thereby obtaining a single factor evaluation vector corresponding to the "drainage protection effect".
Step 3: generating a single-factor evaluation matrix of the buried steel pipeline based on the single-factor evaluation vector corresponding to each element in the pipeline factor set;
specifically, the single factor evaluation vector of each factor in the pipeline factor set is calculated by the method described above, and the single factor evaluation vectors corresponding to each element are combined by the processor to generate a single factor evaluation matrix, such as: r= [ R ] i ] T ＝[R 1 ,R 2 ,R 3 ,R 4 ,R 5 ] T I=1, 2,3,4,5; the single-factor evaluation matrix is determined based on a pipeline factor set in the influence buried steel pipeline, and is specifically a matrix formed by combining five single-factor evaluation vectors corresponding to each (five) element in the matrix; in the embodiment, the single factor evaluation matrix is matched with four elements of the pipeline evaluation set to calculate the average score value of the steel gas pipeline, so that a data basis is provided for calculating the limit value of the inspection period.
Example IV
In this embodiment, in order to calculate the average score value of the steel gas pipeline accurately, after generating the single factor evaluation matrix of the buried steel pipeline, the method further includes the following steps:
301. determining the weight of each element in the pipeline factor set according to an analytic hierarchy process to obtain a pipeline weight vector of the steel gas pipeline;
In this example, in order to calculate the weights corresponding to the factors affecting the corrosion of the steel gas pipeline, the method uses an analytic hierarchy process to calculate, specifically, by determining the weights (the weights in this example are represented by W) occupied by the factors in the pipeline factor set when the steel gas pipeline is corroded, and establishes a pipeline weight vector w= (W 1 ,W 2 ,W 3 ,W 4 ,W 5 ) The pipe weight vector W corresponds to the five elements of the pipe factor set (outer corrosion protection layer condition, cathodic protection effectiveness, soil corrosiveness, stray current interference, and drainage protection effect), respectively.
The analytic hierarchy process is a system method which takes a complex multi-objective decision problem as a system, decomposes an objective into a plurality of objectives or criteria, further decomposes the objectives into a plurality of layers of multi-indexes (or criteria and constraints), calculates single-order (weights) and total order of the layers through a qualitative index fuzzy quantization method, and takes the single-order (weights) and total order as objective (multi-index) multi-scheme optimization decisions; the analytic hierarchy process is to decompose the decision problem into different hierarchical structures according to the sequence of the total target, each layer of sub-targets and the evaluation criterion until a specific spare power switching scheme, then to calculate the priority weight of each element of each layer to a certain element of the previous layer by a method of solving and judging matrix eigenvectors, and finally to merge the final weights of each alternative scheme to the total target in a hierarchical manner by a method of weighting sum, wherein the final weight with the largest value is the optimal scheme; the analytic hierarchy process is more suitable for a target system with hierarchical staggered evaluation indexes, and the target value is difficult to quantitatively describe; according to the nature of the problem and the total target to be achieved, the analytic hierarchy process decomposes the problem into different component factors, and aggregates and combines the factors according to the mutual correlation influence among the factors and the membership according to different levels to form a multi-level analytic structure model, so that the problem is finally classified into the determination of the relative importance weight of the lowest layer (scheme for decision, measure and the like) relative to the highest layer (total target) or the arrangement of the relative priority order.
302. Establishing a pipeline judgment matrix, wherein the pipeline judgment matrix is determined by comparing two pipeline factor sets;
in this example, to calculate the pipe judgment matrix (b= (B for this example) ij ) 5×5 Representing the pipe judgment matrix), this example is implemented by comparing two of the pipe factor sets two by two, concretely as follows (structure of the pipe judgment matrix):
based on the pipeline judgment matrix, judging whether the pipeline judgment matrix has the following properties:
wherein b ij Representative factor u i And u is equal to j A scale of mutual importance, the values of which reflect the factors u in the pipe factor set i The relative importance of the two factors, in this example, the factors u are scaled by 1-9 i The relative importance degree is assigned, and the specific assignment principle is shown in the following table:
therefore, in the embodiment, the correlation degree of the buried steel gas pipeline to each element in the pipeline factor set is determined by establishing the pipeline judgment matrix, and data support is provided for calculating the weight value of each element in the pipeline factor set, so that the inspection period of the buried steel gas pipeline can be accurately determined.
303. Calculating the maximum characteristic root of the pipeline judgment matrix according to a method, wherein the characteristic vector of the pipeline judgment matrix corresponding to the maximum characteristic root is the weight value of each element in the pipeline factor set;
In this example, to calculate the maximum feature root of the pipeline judgment matrix, the pipeline judgment matrix b= (B) is calculated first ij ) 5×5 Product M of each row of elements i And saidThen calculate M i Root W of 5 times square i And said->Then by +_vector>Normalizing to obtain a feature vector W= (W) corresponding to the maximum feature root 1 ,W 2 ,W 3 ,W 4 ,W 5 ) T And obtaining the weight value of each factor of the pipeline factor set.
It should be noted that, the weighting value of each factor is calculated by using the square root method, the product of each row of elements is calculated first, then the product of each row of elements is calculated, and then the n times square root is calculated for each row of products, in this example, a 5-order matrix is required, so that the 5 times square root of each product is required, and then the eigenvector of the pipeline judgment matrix is calculated, thereby obtaining the eigenvector w= (W) corresponding to the largest eigenvector 1 ,W 2 ,W 3 ,W 4 ,W 5 ) T 。
304. And calculating the comprehensive evaluation result of the steel gas pipeline based on the maximum characteristic root and the single factor evaluation matrix to obtain the average score value of the steel gas pipeline.
In this example, in order to calculate the average score value obtained by the buried steel gas pipeline, and further determine the final value of the inspection period of the steel gas pipeline in combination with the pipeline evaluation set, so that a worker can accurately determine the inspection period of the buried steel gas pipeline, and can timely find out the potential risk existing in the inspection period, thereby ensuring long-term safe and stable use of the buried steel gas pipeline.
In this example, the comprehensive evaluation result is denoted by a, and the specific calculation process is as follows:
wherein a represents the result of the comprehensive evaluation (i.e., a= [ a ] 1 ,a 2 ,a 3 ,a 4 ]) The W represents a pipeline weight vector, the R represents a single factor evaluation matrix, and a comprehensive evaluation result is obtained through calculation in the calculation process; the comprehensive evaluation result obtained through the calculation still has a certain ambiguity, and therefore, the evaluation grade in the pipeline evaluation set is quantized by adopting a method of percentile scoring, and the interior of the pipeline evaluation set is divided into four elements, namely a first grade range value, a second grade range value, a third grade range value and a fourth grade range value; thereby obtaining the vector corresponding to the pipeline evaluation set
C＝[c i ]＝[c 1 ,c 2 ,c 3 ,c 4 ]；
Wherein c 1 Representing a first level range value, c 2 Representing a second level range value, c 3 Represents a third level range value, c 4 Representing a fourth level range value;
based on the vector C and the comprehensive evaluation result A, the comment score of the steel gas pipeline is calculated according to the following formula IV:
furthermore, the processing unit is configured to,since each score of the steel gas pipe is a range value, in order to calculate the average value (i.e., average score value) of the steel gas pipe more precisely, the present example is also classified into a high score by scoring the score of the range value (with S h Expressed), middle score (expressed by S m Expressed), low score (with S l Representation) and calculating respective scores thereof through a formula five, then taking the evaluation values of the high score, the medium score and the low score as average score values of the steel gas pipeline, and comparing the average score value ratio with the pipeline evaluation set to determine the final value of the inspection period of the buried steel gas pipeline, thereby completing the processing steps of 'respectively carrying out quantitative processing on the comprehensive detection information according to a fuzzy comprehensive evaluation method', and obtaining the limit value of the inspection period of the steel gas pipeline; wherein, the formula five is:
and respectively calculating the high score, the medium score and the low score of the steel gas pipeline, and taking the average value of the high score, the medium score and the low score of the steel gas pipeline to obtain the average score value of the steel gas pipeline.
It is noted that, after obtaining the average score value of the steel gas pipeline, in order to specifically determine the inspection cycle of the steel gas pipeline, the present example further sets the pipeline evaluation set to be composed of four elements, namely, a first level range value, a second level range value, a third level range value, and a fourth level range value, by comparing the average score value with each element in the pipeline evaluation set, respectively; in addition, for convenience of description, the first level range value is set to [90,100], the second level range value is set to [80, 90), the third level range value is set to [70, 80), and the fourth level range value is set to be between [60, 70), so as to divide and determine the inspection cycle limit value of the steel gas pipe, specifically:
In this example, when the average score value is compared with each element in the pipe evaluation set, if the average score value is within the first range value, which indicates that the buried steel gas pipe is corroded to a low degree, the buried steel gas pipe is determined to be completely safe, the steel gas pipe can be effectively used in a 6-year inspection period, and the period limit value is set to be 6 years, so that the inspection period limit value of the steel gas pipe is determined to be 6 years;
also for example:
if the average score value is within the second range value, indicating that the extent of corrosion of the buried steel gas pipeline is still at a normal level, determining that the buried steel gas pipeline is substantially safe, the steel gas pipeline being available for use during a test period of 3 to 6 years, and setting the period limit value to 6 years, thereby determining that the test period limit value for the steel gas pipeline is 6 years;
if the average score value is within the third range value, the buried steel gas pipeline is high in corrosion degree, maintenance is needed in time, the buried steel gas pipeline is determined to be worse, the steel gas pipeline can be effectively used in a test period of 1-3 years, and the period limit value is set to 3 years, so that the test period limit value of the steel gas pipeline is determined to be 3 years;
If the average score value is within the fourth range value, which indicates that the extent of corrosion of the buried steel gas pipeline is at the edge of the collapse, serious damage of the buried steel gas pipeline is determined, the steel gas pipeline cannot be used, a warning signal is sent, and the limit value of the inspection period of the steel gas pipeline is determined to be 0 years.
In summary, through the above-mentioned multiple parameter acquisition and processing operation on the steel gas pipeline, the final value and the period limit value of the inspection period of the steel gas pipeline are determined comprehensively through various algorithms and various data, and have a certain pertinence, so that the inspection period of the buried steel gas pipeline can be determined accurately, the inspection period of the buried steel gas pipeline is determined in real time, and the inspection timeliness of the buried steel gas pipeline is improved greatly; and the buried steel gas pipeline is monitored in real time by combining artificial subjective judgment and factors actually and objectively existing in a scene, so that the inspection period of the buried steel gas pipeline is accurately determined, the potential risk existing in the buried steel gas pipeline can be timely found, and the buried steel gas pipeline is ensured to be used safely and stably for a long time.
Corresponding to the embodiment of the application function implementation method, the application also provides electronic equipment, a storage medium and corresponding embodiments.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Referring to fig. 4, the electronic device 1000 includes a memory 1010 and a processor 1020.
The processor 1020 may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Memory 1010 may include various types of storage units, such as system memory, read Only Memory (ROM), and persistent storage. Where the ROM may store static data or instructions that are required by the processor 1020 or other modules of the computer. The persistent storage may be a readable and writable storage. The persistent storage may be a non-volatile memory device that does not lose stored instructions and data even after the computer is powered down. In some embodiments, the persistent storage device employs a mass storage device (e.g., magnetic or optical disk, flash memory) as the persistent storage device. In other embodiments, the persistent storage may be a removable storage device (e.g., diskette, optical drive). The system memory may be a read-write memory device or a volatile read-write memory device, such as dynamic random access memory. The system memory may store instructions and data that are required by some or all of the processors at runtime. Furthermore, memory 1010 may comprise any combination of computer-readable storage media including various types of semiconductor memory chips (DRAM, SRAM, SDRAM, flash memory, programmable read-only memory), magnetic disks, and/or optical disks may also be employed. In some implementations, memory 1010 may include readable and/or writable removable storage devices such as Compact Discs (CDs), digital versatile discs (e.g., DVD-ROMs, dual-layer DVD-ROMs), blu-ray discs read only, super-density discs, flash memory cards (e.g., SD cards, min SD cards, micro-SD cards, etc.), magnetic floppy disks, and the like. The computer readable storage medium does not contain a carrier wave or an instantaneous electronic signal transmitted by wireless or wired transmission.
The memory 1010 has stored thereon executable code that, when processed by the processor 1020, can cause the processor 1020 to perform some or all of the methods described above.
The aspects of the present application have been described in detail hereinabove with reference to the accompanying drawings. In the foregoing embodiments, the descriptions of the embodiments are focused on, and for those portions of one embodiment that are not described in detail, reference may be made to the related descriptions of other embodiments. Those skilled in the art will also appreciate that the acts and modules referred to in the specification are not necessarily required for the present application. In addition, it can be understood that the steps in the method of the embodiment of the present application may be sequentially adjusted, combined and pruned according to actual needs, and the modules in the device of the embodiment of the present application may be combined, divided and pruned according to actual needs.
Furthermore, the method according to the application may also be implemented as a computer program or computer program product comprising computer program code instructions for performing part or all of the steps of the above-described method of the application.
Alternatively, the application may also be embodied as a non-transitory machine-readable storage medium (or computer-readable storage medium, or machine-readable storage medium) having stored thereon executable code (or a computer program, or computer instruction code) which, when executed by a processor of an electronic device (or electronic device, server, etc.), causes the processor to perform part or all of the steps of the above-described method according to the application.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the application herein may be implemented as electronic hardware, computer software, or combinations of both.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems and methods according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The foregoing description of embodiments of the application has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the improvement of technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (14)
1. The method for determining the inspection period of the buried steel gas pipeline based on dynamic analysis is characterized by comprising the following steps of:
respectively extracting a cycle bottom line value, a risk total score and a cycle limit value of the steel gas pipeline, wherein the cycle bottom line value is an initial inspection cycle value of the steel gas pipeline, the cycle limit value is an inspection cycle maximum value of the steel gas pipeline, and the risk total score is a quality risk assessment total score of the steel gas pipeline;
judging whether the period limit value is smaller than or equal to the period base line value or not;
if yes, determining the period limit value as a period base value of the gas pipeline of the calculation detection material;
And carrying out calculation processing according to the detection period basic value and the risk total score to obtain a detection period final value.
2. The method for determining the inspection period of the buried steel gas pipe according to claim 1, wherein the calculating process according to the period base value and the risk total score comprises:
calculating the final value of the inspection period of the steel gas pipeline according to a formula I;
the formula one:
GD max ＝GD j -a×GD total (S) ；
Wherein the GD max The final value of the test period is represented in years; the GD j The period base value is represented in years; the a represents a correction constant, the GD Total (S) Representing the total risk score.
3. The method for determining the inspection cycle of a buried steel gas pipe according to claim 1, wherein before extracting the cycle floor value of the steel gas pipe, the method comprises:
obtaining a pipeline thickness value of a steel gas pipeline, wherein the pipeline thickness value is a minimum thickness value of a damaged position of an anticorrosive coating of the steel gas pipeline;
calculating the residual life value of the steel gas pipeline according to a formula II, wherein the formula II is as follows:
wherein RL represents the remaining life value in years; the C represents a correction coefficient, and the SM represents a ratio of a part of the steel gas pipeline, the maximum damage load of which exceeds the design load, to the design load; t represents the wall thickness of the steel gas pipeline; the GR represents the corrosion rate in mm/year.
4. The method for determining a test period of a buried steel gas pipe according to claim 3, wherein after calculating a remaining life value of the steel gas pipe according to formula two, comprising:
determining whether the remaining life value is less than the cycle limit,
if so, setting the cycle limit to a value N times the remaining life value, the N being less than 1 and greater than 0.
5. The method for determining the inspection cycle of a buried steel gas pipe according to claim 1, comprising, before said extracting said total risk score:
extracting a pipeline scoring set in a database according to a user operation instruction, wherein the pipeline scoring set comprises the following elements: third party damage score, pipe corrosion score, pipe operation score, and safety quality score;
calculating the total risk score of the steel gas pipeline according to a formula III, wherein the formula III is
S＝S 1 -(bS 11 +cS 12 +dS 13 +eS 14 )；
The S represents the total risk score, the S 1 Representing a preset total score, S 11 Representing a third party damage score, said S 12 Representing a pipe corrosion score, the S 13 Representing pipeline operation score, S 14 Represents a safe quality score, b represents a third party damage score duty cycle, and c represents pipe corrosion A score duty cycle, the d representing a pipeline operation score duty cycle, the e representing a safety quality score duty cycle, and the b, the c, the d, and the e adding equal to 1.
6. The method for determining the inspection period of the buried steel gas pipe according to claim 1, wherein after the end value of the inspection period is obtained, comprising:
judging whether the final value of the test period is larger than the period bottom line value or not;
if not, stopping using the steel gas pipeline;
if yes, continuing to use the steel gas pipeline.
7. The method for determining the inspection cycle of a buried steel gas pipe according to claim 1, characterized by comprising, before said extracting the inspection cycle limit value of the steel gas pipe:
acquiring comprehensive detection information of the steel gas pipeline, wherein the comprehensive detection information comprises: a soil corrosion parameter set, a pipeline corrosion parameter set and a stray current parameter set; wherein, the soil corrosion parameter set comprises the following elements: soil resistivity, natural corrosion potential of a pipeline, oxidation-reduction potential, soil PH value, soil texture, soil moisture content, soil salt content and soil chloride ion content; the pipeline corrosion parameter set comprises the following elements: the outer layer anticorrosion resistivity and the outer layer breakage density parameters; the stray current parameter set comprises the following elements: stray current interference parameters, cathode operation rate, cathode protection rate, interference tube ground potential and point location average value ratio;
And respectively carrying out quantitative treatment on the comprehensive detection information according to a fuzzy comprehensive evaluation method to obtain a limit value of the inspection period.
8. The method for determining the inspection cycle of a buried steel gas pipeline according to claim 7, wherein the quantitative processing of the comprehensive detection information according to the fuzzy comprehensive evaluation method, respectively, comprises:
establishing a pipeline factor set, wherein the pipeline factor set is a factor influencing corrosion of a buried steel pipeline;
establishing a pipeline evaluation set, wherein the pipeline evaluation set is determined based on the soil corrosion parameter set, the pipeline corrosion parameter set and the grading evaluation of the stray current parameter set; the pipeline evaluation sets are sets corresponding to the pipeline factor set evaluation registration grades, and one pipeline evaluation set respectively corresponds to the grading evaluation of each element in the pipeline factor set.
9. The method for determining the inspection cycle of a buried steel gas pipeline according to claim 8, wherein:
the pipeline factor set comprises the following five elements: the conditions of the outer anti-corrosion layer, the effectiveness of cathode protection, the corrosiveness of soil, the interference of stray current and the drainage protection effect;
the pipeline evaluation set comprises the following four elements: a first level range value, a second level range value, a third level range value, and a fourth level range value; the first, second, third and fourth rating range values are all within a value of 0-100, and the minimum value of the first rating range value is greater than the maximum value of the second rating range value, the minimum value of the second rating range value is greater than the maximum value of the third rating range value, and the minimum value of the third rating range value is greater than the maximum value of the fourth rating range value.
10. The method for determining the inspection cycle of a buried steel gas pipe according to claim 8, further comprising, after said establishing a pipe factor set, before said extracting an inspection cycle limit value of the steel gas pipe;
establishing a pipeline membership set, wherein the pipeline membership function is a membership function corresponding to each element in the pipeline factor set;
according to the pipeline membership set, sequentially calculating membership values corresponding to each element in the pipeline factor set to obtain a single factor evaluation vector corresponding to each element in the pipeline factor set;
and generating a single-factor evaluation matrix of the buried steel pipeline based on the single-factor evaluation vector corresponding to each element in the pipeline factor set.
11. The method for determining the inspection cycle of a buried steel gas pipe according to claim 10, further comprising, after said generating the single factor evaluation matrix of the buried steel gas pipe, before said extracting the inspection cycle limit value of the steel gas pipe:
determining the weight of each element in the pipeline factor set according to an analytic hierarchy process to obtain a pipeline weight vector of the steel gas pipeline;
establishing a pipeline judgment matrix, wherein the pipeline judgment matrix is determined according to the two pipeline factor sets in a pairwise comparison manner;
Calculating the maximum characteristic root of the pipeline judgment matrix according to a method, wherein the characteristic vector of the pipeline judgment matrix corresponding to the maximum characteristic root is the weight value of each element in the pipeline factor set;
and calculating the comprehensive evaluation result of the steel gas pipeline based on the maximum characteristic root and the single factor evaluation matrix to obtain the average score value of the steel gas pipeline.
12. The method for determining the inspection cycle of a buried steel gas pipe according to claim 11, wherein after said obtaining the average score value of the steel gas pipe, before said extracting the inspection cycle limit value of the steel gas pipe, comprising:
comparing the average score value with each element in the pipeline evaluation set respectively;
if the average score value is within a first range value, determining that the buried steel gas pipeline is completely safe, the steel gas pipeline can be effectively used in a 6-year inspection period, and setting the period limit value to be 6 years;
if the average score value is within a second range of values, determining a basic safety of the buried steel gas pipeline, the steel gas pipeline being effectively usable for a test period of 3 to 6 years, and setting the period limit value to 6 years;
If the average score value is within a third range value, determining that the condition of the buried steel gas pipeline is poor, the steel gas pipeline can be effectively used in an inspection period of 1 to 3 years, and setting the period limit value to 3 years;
if the average score value is within the fourth range value, serious damage to the buried steel gas pipeline is determined, the steel gas pipeline cannot be used, and a warning signal is sent out.
13. An electronic device, comprising:
a processor; and
a memory having executable code stored thereon, which when executed by the processor, causes the processor to perform the method of any of claims 1-12.
14. A non-transitory machine-readable storage medium having stored thereon executable code, which when executed by a processor of an electronic device, causes the processor to perform the method of any of claims 1-12.
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| CN117821984B (en) * | 2024-03-04 | 2024-05-24 | 成都秦川物联网科技股份有限公司 | Intelligent gas pipeline cathode protection intelligent detection method and Internet of things system |
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