CN119476019B - Pipeline failure analysis method and device based on failure analysis model - Google Patents
Pipeline failure analysis method and device based on failure analysis model Download PDFInfo
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Abstract
本发明提出了一种基于失效分析模型的管道失效分析方法及装置，通过构建煤气化装置的管道拓扑模型和管道失效分析模型，在所述管道拓扑模型中配置基础数据采集点，并获取所述基础数据采集点的基础数据，所述基础数据包括预先配置的管道的属性参数以及通过所述数据采集装置采集到的管道或管道内流体的状态参数，基于所述基础数据采集点的基础数据确定目标监测点的基础数据，将所述目标监测点的基础数据输入对应的管道失效分析模型以计算所述目标监测点的腐蚀率，根据所述目标监测点的腐蚀率分析所述目标监测点的失效状态，能够实现对煤气化装置的管线的全方位监测。
The present invention proposes a pipeline failure analysis method and device based on a failure analysis model. The method and device construct a pipeline topology model and a pipeline failure analysis model of a coal gasification device, configure basic data collection points in the pipeline topology model, and obtain basic data of the basic data collection points. The basic data include pre-configured attribute parameters of the pipeline and state parameters of the pipeline or the fluid in the pipeline collected by the data collection device. The basic data of the target monitoring point is determined based on the basic data of the basic data collection point. The basic data of the target monitoring point is input into the corresponding pipeline failure analysis model to calculate the corrosion rate of the target monitoring point. The failure state of the target monitoring point is analyzed according to the corrosion rate of the target monitoring point, so as to realize all-round monitoring of the pipeline of the coal gasification device.
Description
Technical Field
The invention relates to the technical field of pipeline failure analysis, in particular to a pipeline failure analysis method and device based on a failure analysis model.
Background
A coal gasification apparatus is an apparatus for converting solid fuel such as coal into synthesis gas, and converts elements such as carbon and hydrogen in the fuel into combustible gas by chemically reacting the fuel with a gasifying agent under certain temperature and pressure conditions. In a coal gasification apparatus, the chemical composition of raw coal contains typical impurity elements such as N, S, cl in addition to the 3 main elements C, H, O. The raw synthesis gas obtained by high-temperature partial oxidation reaction of coal and oxygen in a gasification furnace generally contains various corrosive mediums such as H 2S、CO2、SO2、HCN、NH3、COS、H2, HCl and the like. Meanwhile, the system is in a high-temperature and high-pressure environment, not only has chemical and electrochemical corrosion, but also has high-temperature mechanical property damage to the metal, and in addition, a chilling water system and a black water treatment system of the gasification device are both in a gas-solid-liquid three-phase coexisting environment, so that the scouring corrosion is very serious. In the prior art, the key parts of the pipeline are generally monitored in a point-selected thickness measuring mode, the key parts are influenced by the high-temperature working environment of the coal gasification device, the thickness measurement of the pipeline is difficult to realize through the movable thickness measuring device, the thickness measuring device is usually required to be fixedly arranged on the pipeline, and all parts of the pipeline of the coal gasification device cannot be monitored from the aspects of cost and installation difficulty.
Disclosure of Invention
The invention provides a pipeline failure analysis method and device based on a failure analysis model, which can realize the omnibearing monitoring of a pipeline of a coal gasification device.
In view of the foregoing, a first aspect of the present invention proposes a pipe failure analysis method based on a failure analysis model, including:
constructing a pipeline topology model of the coal gasification device, wherein the pipeline topology model is a three-dimensional model for representing a pipeline space structure of the coal gasification device in a three-dimensional space coordinate system;
constructing a pipeline failure analysis model of the coal gasification device, wherein the pipeline failure analysis model comprises a straight pipe failure analysis model, an elbow failure analysis model, a tee joint failure analysis model and a reducing pipe failure analysis model;
configuring basic data acquisition points in the pipeline topology model, wherein the basic data acquisition points are monitoring points in which data acquisition devices are installed at corresponding positions of pipeline sites in the pipeline topology model;
acquiring basic data of the basic data acquisition point, wherein the basic data comprises attribute parameters of a pre-configured pipeline and state parameters of the pipeline or fluid in the pipeline acquired by the data acquisition device, and the attribute parameters comprise the material type of the pipeline and the diameter of the pipeline The status parameter includes a fluid velocity within the conduitAnd mass flow rate;
Determining basic data of a target monitoring point based on the basic data of the basic data acquisition point;
inputting the basic data of the target monitoring points into a corresponding pipeline failure analysis model to calculate the corrosion rate of the target monitoring points;
And analyzing the failure state of the target monitoring point according to the corrosion rate of the target monitoring point.
Further, the step of inputting the basic data of the target monitoring point into a corresponding pipeline failure analysis model to calculate the corrosion rate of the target monitoring point specifically includes:
identifying the pipeline position type of the target monitoring point;
determining a target pipeline failure analysis model corresponding to the target monitoring point according to the pipeline position type;
Inputting the basic data of the target monitoring points into the target pipeline failure analysis model to calculate the erosion rate, the acid water corrosion rate and the carbon dioxide corrosion rate of the target monitoring points;
and calculating the corrosion rate of the target monitoring point according to the erosion rate, the acid water corrosion rate and the carbon dioxide corrosion rate of the target monitoring point.
Further, the step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the erosion rate, the acid water corrosion rate and the carbon dioxide corrosion rate of the target monitoring point specifically includes:
determining a corresponding speed index according to the material type of the pipeline in the attribute parameters ;
Obtaining the diameter of the pipeline of the target monitoring point;
Obtaining or calculating fluid velocity of the target monitoring pointAnd mass flow rate;
When the target pipeline failure analysis model is a straight pipe failure analysis model, according to the speed indexThe diameter of the pipeline of the target monitoring pointVelocity of fluidAnd mass flow rateCalculating the erosion rate of the target monitoring point:
。
Further, the attribute parameters also comprise the material density of the pipeline Characteristic impact angleConstant of materialAnd cross-sectional area of pipeThe step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the erosion rate, the acid water corrosion rate and the carbon dioxide corrosion rate of the target monitoring point further comprises the following steps:
obtaining preconfigured model geometry factors And unit conversion coefficient;
Acquiring the material density of the target monitoring pointCharacteristic impact angleConstant of materialAnd cross-sectional area of pipe;
Obtaining or calculating fluid velocity of the target monitoring pointAnd mass flow rate;
When the target pipeline failure analysis model is an elbow failure analysis model, calculating the metal extensibility of the target monitoring pointAnd a particle diameter correction coefficient;
According to the velocity indexThe material density of the target monitoring pointCharacteristic impact angleConstant of materialCross-sectional area of pipeVelocity of fluidAnd mass flow rateCalculating the erosion rate of the target monitoring point:
。
Further, the attribute parameters also comprise the material density of the pipeline And material constantThe step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the erosion rate, the acid water corrosion rate and the carbon dioxide corrosion rate of the target monitoring point further comprises the following steps:
obtaining preconfigured model geometry factors And unit conversion coefficient;
Obtaining or calculating fluid velocity of the target monitoring pointAnd mass flow rate;
When the target pipeline failure analysis model is a three-way failure analysis model, calculating the characteristic pipeline area of the target monitoring pointAnd a particle diameter correction coefficient;
According to the velocity indexThe material density of the target monitoring pointConstant of materialArea of characteristic pipeVelocity of fluidAnd mass flow rateCalculating the erosion rate of the target monitoring point:
。
Further, the attribute parameters also comprise the material density of the pipeline Characteristic impact angleAnd material constantThe step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the erosion rate, the acid water corrosion rate and the carbon dioxide corrosion rate of the target monitoring point further comprises the following steps:
obtaining a preconfigured unit conversion coefficient ;
Acquiring the material density of the target monitoring pointCharacteristic impact angleAnd material constant;
Obtaining or calculating fluid velocity of the target monitoring pointAnd mass flow rate;
When the target pipeline failure analysis model is a reducing pipe failure analysis model, calculating the metal extensibility of the target monitoring pointArea of characteristic pipeArea ratio of flow reducerAnd a particle diameter correction coefficient;
According to the velocity indexThe material density of the target monitoring pointCharacteristic impact angleConstant of materialArea of characteristic pipeArea ratio of flow reducerVelocity of fluidAnd mass flow rateCalculating the erosion rate of the target monitoring point:
。
Further, the state parameters also comprise ammonium bisulfide concentration and/or pressure balance constant The step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the erosion rate, the acid water corrosion rate and the carbon dioxide corrosion rate of the target monitoring point further comprises the following steps:
Obtaining or calculating ammonium bisulfide concentration and/or pressure balance constant of the target monitoring point ;
By means of the ammonium bisulfide concentration and/or pressure equilibrium constantQuerying corresponding acid water corrosion rates from a pre-configured acid water corrosion rate relation table。
Further, the state parameter further comprises a fluid temperatureAnd a fluid pH value, the step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the scouring erosion rate, the acid water erosion rate and the carbon dioxide erosion rate of the target monitoring point further comprises:
Obtaining or calculating fluid temperature of the target monitoring point And fluidA value;
by the temperature of the fluid And fluidFrom a pre-configured temperature-Inquiring the corresponding temperature-pH value coefficient in the value coefficient relation table;
Calculating the carbon dioxide escape degree of the target monitoring pointShear stress of fluid flow;
According to the temperature-Value coefficientDegree of escape of carbon dioxideShear stress of fluid flowCalculating the carbon dioxide corrosion rate of the target monitoring point:
。
Further, the pipeline failure analysis method based on the failure analysis model further comprises the following steps:
configuring thickness data acquisition points in the pipeline topology model, wherein the thickness data acquisition points are monitoring points in the pipeline topology model, and the monitoring points are provided with thickness measuring devices at corresponding positions on the pipeline site;
Comparing and verifying the thickness data calculated by the pipeline failure analysis model by using the thickness data of the thickness data acquisition point;
and correcting the pipeline failure analysis model according to the comparison verification structure.
A second aspect of the present invention proposes a pipe failure analysis apparatus based on a failure analysis model, comprising a memory and a processor executing a computer program stored in the memory to implement the pipe failure analysis method based on a failure analysis model according to any one of the first aspect of the present invention.
The invention provides a pipeline failure analysis method and a pipeline failure analysis device based on a failure analysis model, wherein a pipeline topology model and a pipeline failure analysis model of a coal gasification device are constructed, basic data acquisition points are configured in the pipeline topology model, basic data of the basic data acquisition points are acquired, the basic data comprise pre-configured attribute parameters of a pipeline and state parameters of the pipeline or fluid in the pipeline acquired by the data acquisition device, basic data of target monitoring points are determined based on the basic data of the basic data acquisition points, the basic data of the target monitoring points are input into the corresponding pipeline failure analysis model to calculate corrosion rate of the target monitoring points, and failure states of the target monitoring points are analyzed according to the corrosion rate of the target monitoring points, so that the pipeline of the coal gasification device can be monitored in an all-around manner.
Drawings
FIG. 1 is a flow chart of a method for pipeline failure analysis based on a failure analysis model according to one embodiment of the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present application will be more clearly understood, a more particular description of the application will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, without conflict, the embodiments of the present application and features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced otherwise than as described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.
In the description of the present invention, the term "plurality" means two or more, unless explicitly defined otherwise, the orientation or positional relationship indicated by the terms "upper", "lower", etc. are based on the orientation or positional relationship shown in the drawings, merely for convenience of description of the present invention and to simplify the description, and do not indicate or imply that the apparatus or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention. The terms "coupled," "mounted," "secured," and the like are to be construed broadly, as they are used in a fixed or removable sense, as they are coupled together, either directly or indirectly through intervening media. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to the specific circumstances. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first", "a second", etc. may explicitly or implicitly include one or more such feature. In the description of the present invention, unless otherwise indicated, the meaning of "a plurality" is two or more.
In the description of this specification, the terms "one embodiment," "some implementations," "particular embodiments," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
A method and apparatus for analyzing a pipeline failure based on a failure analysis model according to some embodiments of the present invention are described below with reference to the accompanying drawings.
As shown in fig. 1, a first aspect of the present invention proposes a pipe failure analysis method based on a failure analysis model, including:
constructing a pipeline topology model of the coal gasification device, wherein the pipeline topology model is a three-dimensional model for representing a pipeline space structure of the coal gasification device in a three-dimensional space coordinate system;
constructing a pipeline failure analysis model of the coal gasification device, wherein the pipeline failure analysis model comprises a straight pipe failure analysis model, an elbow failure analysis model, a tee joint failure analysis model and a reducing pipe failure analysis model;
configuring basic data acquisition points in the pipeline topology model, wherein the basic data acquisition points are monitoring points in which data acquisition devices are installed at corresponding positions of pipeline sites in the pipeline topology model;
acquiring basic data of the basic data acquisition point, wherein the basic data comprises attribute parameters of a pre-configured pipeline and state parameters of the pipeline or fluid in the pipeline acquired by the data acquisition device, and the attribute parameters comprise the material type of the pipeline and the diameter of the pipeline The status parameter includes a fluid velocity within the conduitAnd mass flow rate;
Determining basic data of a target monitoring point based on the basic data of the basic data acquisition point;
inputting the basic data of the target monitoring points into a corresponding pipeline failure analysis model to calculate the corrosion rate of the target monitoring points;
And analyzing the failure state of the target monitoring point according to the corrosion rate of the target monitoring point.
Specifically, the pipeline topology model is a three-dimensional model for representing the pipeline space structure of the coal gasification device in a three-dimensional space coordinate system, and any pipeline position in the pipeline topology model can be represented by using space coordinates, so that the failure risk of the corresponding pipeline position is analyzed through the pipeline failure analysis model. In some embodiments of the present invention, the pipeline topology model is configured with attribute parameters of each pipeline position, and the spatial coordinates of any pipeline position in the pipeline topology model may be used to query and obtain attribute parameters of a corresponding pipeline position, such as a material type, a pipeline diameter, and the like.
In the technical scheme of the invention, the pipeline failure analysis model comprises a straight pipe failure analysis model, an elbow failure analysis model, a tee joint failure analysis model and a reducing pipe failure analysis model, which are respectively applied to failure analysis of different types of pipeline positions in the pipeline topology model, such as straight pipes, elbows, tee joints, reducing pipes and the like. In a coal gasification pipeline, a straight pipe is a main body part of a pipeline, the shape of the straight pipe is cylindrical, an axis is a straight line, the inner diameter and the outer diameter of the straight pipe are kept unchanged along the axis direction of the pipeline, and the straight pipe is the most basic pipeline form in a coal gasification device and is used for connecting different devices or conveying media such as coal gas, steam, water or solid particles (such as coal slurry) and the like in the same direction. The elbow is a pipeline component with a certain curvature for changing the direction of the coal gasification pipeline, so that the pipeline can turn in different planes or directions to adapt to the complex equipment layout and pipeline trend requirements in the coal gasification device. The shape of the elbow is arc-shaped, and the elbow can be divided into 90-degree elbow, 45-degree elbow and the like according to different turning angles. The tee joint is provided with three openings facing different directions and is used for dividing the fluid of one main pipeline into two different directions or converging the fluid of two different pipelines into one main pipeline, so that branching or converging of the pipelines is realized in the coal gasification pipeline. The diameter reducing pipe is a pipe fitting for changing the pipe diameter of the coal gasification pipeline, so that the inner diameter of the pipeline is gradually reduced or increased at a certain position, and the transition of different pipe diameters among the pipelines is realized.
The basic data acquisition points are monitoring points corresponding to the data acquisition devices installed in the site positions, the selection points of the basic data acquisition points are required to meet the requirement that the working parameters of the pipeline positions of any non-basic data acquisition point in the pipeline topology model can be obtained through calculation through the attribute parameters and the working parameters of one or more adjacent basic data acquisition points, and therefore any pipeline position in the pipeline topology model can be used as a target monitoring point to analyze the failure state of the target monitoring point based on the attribute parameters and the working parameters. It should be appreciated that the target monitoring point may be any pipe location in the pipe topology model that includes the base data acquisition point. In the step of determining the basic data of the target monitoring point based on the basic data of the basic data acquisition points, when the target monitoring point is not any basic data acquisition point, inquiring the attribute parameters of the target monitoring point obtained from the pipeline topology model, and calculating the working parameters of the target monitoring point according to the attribute parameters of the target monitoring point and the attribute parameters and the working parameters of one or more basic data acquisition points adjacent to the target monitoring point, so that the complete basic data of the target monitoring point is obtained.
By adopting the technical scheme of the invention, the spatial coordinates of each pipeline position in the pipeline topology model can be input into the corresponding pipeline failure analysis model to analyze the thickness change condition of each pipeline position, so that the whole pipeline topology model is monitored in a visual mode to more intuitively reflect the failure state of the pipeline.
Further, the step of inputting the basic data of the target monitoring point into a corresponding pipeline failure analysis model to calculate the corrosion rate of the target monitoring point specifically includes:
identifying the pipeline position type of the target monitoring point;
determining a target pipeline failure analysis model corresponding to the target monitoring point according to the pipeline position type;
Inputting the basic data of the target monitoring points into the target pipeline failure analysis model to calculate the erosion rate, the acid water corrosion rate and the carbon dioxide corrosion rate of the target monitoring points;
and calculating the corrosion rate of the target monitoring point according to the erosion rate, the acid water corrosion rate and the carbon dioxide corrosion rate of the target monitoring point.
As mentioned above, the pipeline position types include straight pipe, elbow, tee joint, reducing pipe, etc. different pipeline positions have different erosion rates of fluid in the pipeline due to different shape structures.
Further, the step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the erosion rate, the acid water corrosion rate and the carbon dioxide corrosion rate of the target monitoring point specifically includes:
determining a corresponding speed index according to the material type of the pipeline in the attribute parameters ;
Obtaining the diameter of the pipeline of the target monitoring point;
Obtaining or calculating fluid velocity of the target monitoring pointAnd mass flow rate;
When the target pipeline failure analysis model is a straight pipe failure analysis model, according to the speed indexThe diameter of the pipeline of the target monitoring pointVelocity of fluidAnd mass flow rateCalculating the erosion rate of the target monitoring point:
。
In the technical scheme of the embodiment, the material type and the pipeline diameter of the target monitoring point Can be queried from the pipeline topology model.
Further, the method also comprises the step of configuring material constants before the step of constructing the pipeline topology model of the coal gasification deviceSpeed indexDensity of materialA material property parameter table for a type of material. In the step of constructing the pipeline topology model of the coal gasification device, the attribute energy numbers of the corresponding material types of all pipeline positions are read from the material attribute parameter table and written into the pipeline topology model or the associated configuration file of the pipeline topology model.
Further, the fluid velocity of the target monitoring point is obtained or calculatedAnd mass flow rateIn the step (a), when the target monitoring point is the basic data acquisition point, the fluid velocity of the target monitoring point acquired by the data acquisition device is directly acquiredAnd mass flow rate. When the target monitoring point is not any basic data acquisition point, the fluid speed of the target monitoring point can be calculated through the working state data of the adjacent basic data acquisition pointsAnd mass flow rate。
Further, the attribute parameters also comprise the material density of the pipelineCharacteristic impact angleConstant of materialAnd cross-sectional area of pipeThe step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the erosion rate, the acid water corrosion rate and the carbon dioxide corrosion rate of the target monitoring point further comprises the following steps:
obtaining preconfigured model geometry factors And unit conversion coefficient;
Acquiring the material density of the target monitoring pointCharacteristic impact angleConstant of materialAnd cross-sectional area of pipe;
Obtaining or calculating fluid velocity of the target monitoring pointAnd mass flow rate;
When the target pipeline failure analysis model is an elbow failure analysis model, calculating the metal extensibility of the target monitoring pointAnd a particle diameter correction coefficient;
According to the velocity indexThe material density of the target monitoring pointCharacteristic impact angleConstant of materialCross-sectional area of pipeVelocity of fluidAnd mass flow rateCalculating the erosion rate of the target monitoring point:
。
preferably, the model geometry factor 。
The unit conversion coefficientFor converting said erosion rate from millimeter per second to millimeter per year, i.e. said unit conversion factor。
Further, before the step of inputting the basic data of the target monitoring point into the corresponding pipeline failure analysis model to calculate the corrosion rate of the target monitoring point, the method further comprises configuring a metal extensibility constant table.
Calculating the metal extensibility of the target monitoring pointThe method specifically comprises the following steps:
Reading metal extensibility constants from a metal extensibility constant table Wherein,A number of metal extensibility constants in the metal extensibility constant table;
based on the metal extensibility constant And the characteristic impact angleCalculating the metal extensibility of the target monitoring point:
。
Due to the extensibility of the metal With only the attribute parameters of the pipe, i.e. the characteristic angle of attackIn relation to the real-time state parameters of the pipeline during operation, the metal extensibility of each pipeline position can be pre-calculated in the technical proposal of other embodiments of the inventionAnd configuring the pipeline topology model or the associated configuration file of the pipeline topology model.
Further, the state parameter also comprises the liquid phase density of the fluid in the pipelineAnd gas phase DensityAnd particle density within the fluidCalculating particle diameter correction coefficients of the target monitoring pointsThe method specifically comprises the following steps:
according to the diameter of the pipeline of the monitoring point Density of liquid phaseDensity of gas phaseVelocity of fluidMass flow rateCalculating the density of the fluid mixture of the target monitoring point;
Calculating dimensionless parameters of the target monitoring pointsWhereinThe Reynolds number of the target monitoring point;
Definition of critical particle size And particle size ratioParticle size ratioCritical particle size:
;
calculating particle diameter correction factor WhereinIs the diameter of the inner tube.
Further, the attribute parameters also comprise the material density of the pipelineAnd material constantThe step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the erosion rate, the acid water corrosion rate and the carbon dioxide corrosion rate of the target monitoring point further comprises the following steps:
obtaining preconfigured model geometry factors And unit conversion coefficient;
Obtaining or calculating fluid velocity of the target monitoring pointAnd mass flow rate;
When the target pipeline failure analysis model is a three-way failure analysis model, calculating the characteristic pipeline area of the target monitoring pointAnd a particle diameter correction coefficient;
According to the velocity indexThe material density of the target monitoring pointConstant of materialArea of characteristic pipeVelocity of fluidAnd mass flow rateCalculating the erosion rate of the target monitoring point:
。
further, the characteristic pipeline area of the target monitoring point Diameter of pipe from the target monitoring pointAnd characteristic impact angleAnd (3) calculating to obtain:
。
similarly, due to the characteristic pipeline area With only the property parameters of the pipe, i.e. the diameter of the pipeAnd the characteristic impact angleIn relation to the real-time state parameters of the pipeline during operation, the characteristic pipeline area of each pipeline position can be pre-calculated in the technical schemes of other embodiments of the inventionAnd configuring the pipeline topology model or the associated configuration file of the pipeline topology model.
Further, the attribute parameters also comprise the material density of the pipelineCharacteristic impact angleAnd material constantThe step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the erosion rate, the acid water corrosion rate and the carbon dioxide corrosion rate of the target monitoring point further comprises the following steps:
obtaining a preconfigured unit conversion coefficient ;
Acquiring the material density of the target monitoring pointCharacteristic impact angleAnd material constant;
Obtaining or calculating fluid velocity of the target monitoring pointAnd mass flow rate;
When the target pipeline failure analysis model is a reducing pipe failure analysis model, calculating the metal extensibility of the target monitoring pointArea of characteristic pipeArea ratio of flow reducerAnd a particle diameter correction coefficient;
According to the velocity indexThe material density of the target monitoring pointCharacteristic impact angleConstant of materialArea of characteristic pipeArea ratio of flow reducerVelocity of fluidAnd mass flow rateCalculating the erosion rate of the target monitoring point:
。
further, the characteristic pipeline area of the target monitoring point First pipe diameter from the target monitoring pointDiameter of second pipeAnd characteristic impact angleAnd (3) calculating to obtain:
。
wherein the first pipe diameter The diameter of the pipeline before diameter reduction is the second diameter of the pipelineIs the diameter of the pipeline after diameter reduction, namely。
Further, the area ratio of the flow reducer of the target monitoring pointFirst pipe diameter from the target monitoring pointDiameter of second pipeAnd (3) calculating to obtain:
。
similarly, due to the characteristic pipeline area And the area ratio of the flow reducerWith only the attribute parameters of the pipe, i.e. the first pipe diameterDiameter of second pipeAnd characteristic impact angleIn relation to the real-time state parameters of the pipeline during operation, the characteristic pipeline area of each pipeline position can be pre-calculated in the technical schemes of other embodiments of the inventionAnd flow reducer area ratioAnd configuring the pipeline topology model or the associated configuration file of the pipeline topology model.
Further, the state parameters also comprise ammonium bisulfide concentration and/or pressure balance constantThe step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the erosion rate, the acid water corrosion rate and the carbon dioxide corrosion rate of the target monitoring point further comprises the following steps:
Obtaining or calculating ammonium bisulfide concentration and/or pressure balance constant of the target monitoring point ;
By means of the ammonium bisulfide concentration and/or pressure equilibrium constantQuerying corresponding acid water corrosion rates from a pre-configured acid water corrosion rate relation table。
Further, before the step of inputting the basic data of the target monitoring points into the corresponding pipeline failure analysis model to calculate the corrosion rate of the target monitoring points, the method further comprises the steps of configuring ammonium bisulfide concentration and/or pressure balance constantAnd an acidic water corrosion rate relation table corresponding to a plurality of fluid speed intervals. By looking up the acidic water corrosion rate relationship table, the corresponding respective ammonium bisulfide concentration and/or pressure equilibrium constant in different fluid velocity intervals can be obtainedNumerical acid water corrosion rate.
Further, the state parameter further comprises a fluid temperatureAnd a fluid pH value, the step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the scouring erosion rate, the acid water erosion rate and the carbon dioxide erosion rate of the target monitoring point further comprises:
Obtaining or calculating fluid temperature of the target monitoring point And fluidA value;
by the temperature of the fluid And fluidFrom a pre-configured temperature-Inquiring the corresponding temperature-pH value coefficient in the value coefficient relation table;
Calculating the carbon dioxide escape degree of the target monitoring pointShear stress of fluid flow;
According to the temperature-Value coefficientDegree of escape of carbon dioxideShear stress of fluid flowCalculating the carbon dioxide corrosion rate of the target monitoring point:
。
in some embodiments of the present invention, the step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the carbon dioxide corrosion rate of the target monitoring point further includes:
judging whether the material type in the attribute parameters is carbon steel or alloy steel material of which the content is less than 13%;
If not, the step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the carbon dioxide corrosion rate of the target monitoring point is not executed;
If so, sequentially judging whether liquid hydrocarbon exists in the fluid, whether the water content of the fluid is less than 20 percent and whether the flow rate of the fluid is less than 1 meter per second;
When all three conditions are met, the step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the carbon dioxide corrosion rate of the target monitoring point is not executed;
when any one of the three conditions is not met, calculating the dew point temperature of the fluid in the pipeline;
judging whether the current temperature of the fluid is lower than the dew point temperature;
If the current temperature of the fluid is higher than the dew point temperature, determining that no liquid water exists in the fluid, and regarding no carbon dioxide corrosion, and not performing the step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the carbon dioxide corrosion rate of the target monitoring point;
If the current temperature of the fluid is lower than the dew point temperature, according to the temperature- Value coefficientDegree of escape of carbon dioxideShear stress of fluid flowCalculating the carbon dioxide corrosion rate of the target monitoring point:
。
further, the state parameter further comprises the carbon dioxide gas pressure in the fluid, and the carbon dioxide escape degree Can be calculated based on the carbon dioxide gas pressure in the fluid.
Further, the state parameters include friction coefficient of the fluid, density of the fluid mixture and viscosity of the fluid mixture, and the fluid flow shear stressCan be calculated based on the friction coefficient of the fluid, the density of the fluid mixture, and the viscosity of the fluid mixture.
Further, the pipeline failure analysis method based on the failure analysis model further comprises the following steps:
configuring thickness data acquisition points in the pipeline topology model, wherein the thickness data acquisition points are monitoring points in the pipeline topology model, and the monitoring points are provided with thickness measuring devices at corresponding positions on the pipeline site;
Comparing and verifying the thickness data calculated by the pipeline failure analysis model by using the thickness data of the thickness data acquisition point;
and correcting the pipeline failure analysis model according to the comparison verification structure.
Further, the attribute parameters in the basic data further comprise the initial thickness of the pipelineThe step of comparing and verifying the thickness data calculated by the pipeline failure analysis model by using the thickness data of the thickness data acquisition point specifically comprises the following steps:
Determining the thickness data acquisition point as the target monitoring point;
Calculating the corrosion rate of the target monitoring point:
;
Based on the corrosion rate of the target monitoring point, e.g Calculating thickness variation of the target monitoring pointWhereinThe working time length after the pipeline is put into use;
calculating the real-time thickness of the target monitoring point To use the thickness data of the thickness data acquisition point to calculate the real-time thicknessAnd (5) performing contrast verification.
Further, the step of analyzing the failure state of the target monitoring point according to the corrosion rate of the target monitoring point specifically includes:
Calculating the corrosion rate of the target monitoring point:
;
Based on the corrosion rate of the target monitoring point, e.g Calculating thickness variation of the target monitoring pointWhereinThe working time length after the pipeline is put into use;
calculating the real-time thickness of the target monitoring point To according to the real-time thicknessTo analyze the failure status of the target monitoring point.
A second aspect of the present invention proposes a pipe failure analysis apparatus based on a failure analysis model, comprising a memory and a processor executing a computer program stored in the memory to implement the pipe failure analysis method based on a failure analysis model according to any one of the first aspect of the present invention.
It should be noted that in this document relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises an element.
Embodiments in accordance with the present invention, as described above, are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention and various modifications as are suited to the particular use contemplated. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (9)
1. A pipeline failure analysis method based on a failure analysis model is characterized by comprising the following steps:
constructing a pipeline topology model of the coal gasification device, wherein the pipeline topology model is a three-dimensional model for representing a pipeline space structure of the coal gasification device in a three-dimensional space coordinate system;
constructing a pipeline failure analysis model of the coal gasification device, wherein the pipeline failure analysis model comprises a straight pipe failure analysis model, an elbow failure analysis model, a tee joint failure analysis model and a reducing pipe failure analysis model;
configuring basic data acquisition points in the pipeline topology model, wherein the basic data acquisition points are monitoring points in which data acquisition devices are installed at corresponding positions of pipeline sites in the pipeline topology model;
Acquiring basic data of the basic data acquisition point, wherein the basic data comprises pre-configured attribute parameters of a pipeline and state parameters of the pipeline or fluid in the pipeline acquired by the data acquisition device, the attribute parameters comprise the material type of the pipeline and the pipeline diameter D, and the state parameters comprise the fluid speed U p and the mass flow in the pipeline
Determining basic data of a target monitoring point based on the basic data of the basic data acquisition point;
inputting the basic data of the target monitoring points into a corresponding pipeline failure analysis model to calculate the corrosion rate of the target monitoring points;
analyzing the failure state of the target monitoring point according to the corrosion rate of the target monitoring point;
the step of inputting the basic data of the target monitoring point into a corresponding pipeline failure analysis model to calculate the corrosion rate of the target monitoring point specifically comprises the following steps:
identifying the pipeline position type of the target monitoring point;
determining a target pipeline failure analysis model corresponding to the target monitoring point according to the pipeline position type;
Inputting the basic data of the target monitoring points into the target pipeline failure analysis model to calculate the erosion rate, the acid water corrosion rate and the carbon dioxide corrosion rate of the target monitoring points;
and calculating the corrosion rate of the target monitoring point according to the erosion rate, the acid water corrosion rate and the carbon dioxide corrosion rate of the target monitoring point.
2. The method of claim 1, wherein the step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the erosion rate, the acid water corrosion rate, and the carbon dioxide corrosion rate of the target monitoring point comprises:
determining a corresponding speed index n according to the material type of the pipeline in the attribute parameters;
Acquiring the pipeline diameter D of the target monitoring point;
Acquiring or calculating fluid velocity U p and mass flow of the target monitoring point
When the target pipeline failure analysis model is a straight pipe failure analysis model, according to the speed index n, the pipeline diameter D of the target monitoring point, the fluid speed U and the mass flowCalculating the erosion rate of the target monitoring point:
3. The failure analysis method according to claim 2, wherein the attribute parameters further include a material density ρ t, a characteristic impact angle α, a material constant K, and a cross-sectional area a pipe of the pipe, and the step of inputting the basic data of the target monitoring point into the target failure analysis model to calculate a flush erosion rate, an acid water erosion rate, and a carbon dioxide erosion rate of the target monitoring point further includes:
Obtaining a preconfigured model geometric factor C 1 and a unit conversion coefficient C unit;
Acquiring the material density rho t, the characteristic impact angle alpha, the material constant K and the pipeline cross-sectional area A pipe of the target monitoring point;
Acquiring or calculating fluid velocity U p and mass flow of the target monitoring point
When the target pipeline failure analysis model is an elbow failure analysis model, calculating the metal extensibility F (alpha) and the particle diameter correction coefficient G of the target monitoring point;
According to the speed index n and the material density rho t, the characteristic impact angle alpha, the material constant K, the pipeline cross-sectional area A pixe, the fluid speed U and the mass flow of the target monitoring point Calculating the erosion rate of the target monitoring point:
4. The method of claim 2, wherein the attribute parameters further comprise a material density ρ t and a material constant K of the pipeline, and the step of inputting the base data of the target monitoring point into the target pipeline failure analysis model to calculate a flush erosion rate, an acid water erosion rate, and a carbon dioxide erosion rate of the target monitoring point further comprises:
Obtaining a preconfigured model geometric factor C 1 and a unit conversion coefficient C unit;
Acquiring or calculating fluid velocity U p and mass flow of the target monitoring point
When the target pipeline failure analysis model is a three-way failure analysis model, calculating a characteristic pipeline area A t and a particle diameter correction coefficient G of the target monitoring point;
According to the speed index n, the material density rho t, the material constant K, the characteristic pipeline area A t, the fluid speed U and the mass flow rate of the target monitoring point Calculating the erosion rate of the target monitoring point:
5. The method of claim 2, wherein the attribute parameters further comprise a material density ρ t, a characteristic attack angle α, and a material constant K of the pipeline, and the step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate a scouring erosion rate, an acid water erosion rate, and a carbon dioxide erosion rate of the target monitoring point further comprises:
Obtaining a preconfigured unit conversion coefficient C unit;
Acquiring the material density rho t, the characteristic impact angle alpha and the material constant K of the target monitoring point;
Acquiring or calculating fluid velocity U p and mass flow of the target monitoring point
When the target pipeline failure analysis model is a reducer failure analysis model, calculating the metal extensibility F (alpha), the characteristic pipeline area A t, the flow reducer area ratio A ratio and the particle diameter correction coefficient G of the target monitoring point;
according to the speed index n and the material density rho t, the characteristic impact angle alpha, the material constant K, the characteristic pipeline area A t, the flow reducer area ratio A ratio, the fluid speed U and the mass flow of the target monitoring point Calculating the erosion rate of the target monitoring point:
6. The failure analysis model-based pipe failure analysis method according to any of claims 2-5, wherein the status parameters further include ammonium bisulfide concentration and/or pressure balance constant K p, and the step of inputting the base data of the target monitoring point into the target pipe failure analysis model to calculate the scouring erosion rate, the acid water corrosion rate, and the carbon dioxide corrosion rate of the target monitoring point further includes:
Obtaining or calculating ammonium bisulfide concentration and/or pressure balance constant K p of the target monitoring point;
The corresponding acid water corrosion rate ACR is looked up from a pre-configured acid water corrosion rate relationship table by means of the ammonium bisulfide concentration and/or pressure equilibrium constant K p.
7. The method of claim 6, wherein the status parameters further comprise a fluid temperature T and a fluid pH, and wherein the step of inputting the base data of the target monitoring point into the target pipeline failure analysis model to calculate a flush erosion rate, an acid water erosion rate, and a carbon dioxide erosion rate of the target monitoring point further comprises:
Acquiring or calculating the fluid temperature T and the fluid pH value of the target monitoring point;
Querying a corresponding temperature-pH value coefficient f (T, pH) from a pre-configured temperature-pH value coefficient relation table through the fluid temperature T and the fluid pH value;
Calculating the carbon dioxide escape degree of the target monitoring point Fluid flow shear stress S;
According to the temperature-pH value coefficient f (T, pH), carbon dioxide escape degree Calculating the carbon dioxide corrosion rate of the target monitoring point by fluid flow shear stress S:
8. The failure analysis model-based pipe failure analysis method according to claim 1, further comprising:
configuring thickness data acquisition points in the pipeline topology model, wherein the thickness data acquisition points are monitoring points in the pipeline topology model, and the monitoring points are provided with thickness measuring devices at corresponding positions on the pipeline site;
Comparing and verifying the thickness data calculated by the pipeline failure analysis model by using the thickness data of the thickness data acquisition point;
and correcting the pipeline failure analysis model according to the comparison verification structure.
9. A pipe failure analysis apparatus based on a failure analysis model, comprising a memory and a processor executing a computer program stored in the memory to implement the pipe failure analysis method based on a failure analysis model as claimed in any one of claims 1 to 8.
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