A pipeline failure analysis method and device based on failure analysis model

Abstract

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

[0001] The present invention relates to the technical field of pipeline failure analysis, and in particular to a pipeline failure analysis method and device based on a failure analysis model. Background Art

[0002] The coal gasification device is a device used to convert solid fuels such as coal into synthesis gas. Under certain temperature and pressure conditions, the fuel reacts chemically with the gasifying agent to convert carbon, hydrogen and other elements in the fuel into combustible gas. In the coal gasification device, in addition to the three main elements C, H and O, the chemical composition of the raw coal also contains typical impurity elements such as N, S and Cl. The crude synthesis gas obtained by the high-temperature partial oxidation reaction of coal and oxygen in the gasifier usually contains a variety of corrosive media such as H2S, CO2, SO2, HCN, NH3, COS, H2 and HCl. At the same time, the system is in a high-temperature and high-pressure environment, which not only causes chemical and electrochemical corrosion, but also damages the high-temperature mechanical properties of the metal itself. In addition, the quenching water system and black water treatment system of the gasification device are environments where gas, solid and liquid coexist, and erosion corrosion is very serious. The existing technology generally monitors key parts of the pipeline by measuring the thickness at selected points. Due to the high temperature working environment of the gasification device, it is difficult to measure the pipeline thickness through a mobile thickness measuring device. The thickness measuring device usually needs to be fixed on the pipeline. Considering the cost and installation difficulty, it is impossible to monitor all parts of the pipeline of the gasification device. Summary of the invention

[0003] Based on the above problems, the present invention proposes a pipeline failure analysis method and device based on a failure analysis model, which can realize all-round monitoring of the pipeline of the coal gasification device.

[0004] In view of this, a first aspect of the present invention proposes a pipeline failure analysis method based on a failure analysis model, comprising:

[0005] Constructing a pipeline topology model of a coal gasification device, wherein the pipeline topology model is a three-dimensional model representing the pipeline spatial structure of the coal gasification device in a three-dimensional space coordinate system;

[0006] Constructing a pipeline failure analysis model for a coal gasification device, wherein the pipeline failure analysis model includes a straight pipe failure analysis model, an elbow failure analysis model, a tee failure analysis model, and a reduced diameter pipe failure analysis model;

[0007] Configuring basic data collection points in the pipeline topology model, wherein the basic data collection points are monitoring points in the pipeline topology model where data collection devices are installed at corresponding positions on the pipeline site;

[0008] Acquire basic data of the basic data collection point, the basic data including pre-configured pipeline attribute parameters and pipeline or pipeline fluid state parameters collected by the data collection device, the attribute parameters including pipeline material type and pipeline diameter , the state parameters include the fluid velocity in the pipeline and mass flow ;

[0009] Determine the basic data of the target monitoring point based on the basic data of the basic data collection point;

[0010] 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;

[0011] The failure state of the target monitoring point is analyzed according to the corrosion rate of the target monitoring point.

[0012] Furthermore, 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 specifically includes:

[0013] Identify the pipeline location type of the target monitoring point;

[0014] Determine a target pipeline failure analysis model corresponding to the target monitoring point according to the pipeline location type;

[0015] Inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the erosion rate, acid water corrosion rate and carbon dioxide corrosion rate of the target monitoring point;

[0016] The corrosion rate of the target monitoring point is calculated according to the erosion rate, the acidic water corrosion rate and the carbon dioxide corrosion rate of the target monitoring point.

[0017] Furthermore, the step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the erosion rate, acidic water corrosion rate and carbon dioxide corrosion rate of the target monitoring point specifically includes:

[0018] Determine the corresponding velocity index according to the material type of the pipe in the attribute parameter ;

[0019] Get the pipe diameter of the target monitoring point ;

[0020] Obtain or calculate the fluid velocity at the target monitoring point and mass flow ;

[0021] When the target pipeline failure analysis model is a straight pipe failure analysis model, according to the velocity index and the pipe diameter of the target monitoring point , fluid velocity and mass flow Calculate the erosion rate of the target monitoring point:

[0022] .

[0023] Furthermore, the property parameters also include the material density of the pipeline , characteristic impact angle , material constants and the pipe cross-sectional area The step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the erosion rate, acidic water corrosion rate and carbon dioxide corrosion rate of the target monitoring point also includes:

[0024] Get pre-configured model geometry factors and unit conversion factors ;

[0025] Get the material density of the target monitoring point , characteristic impact angle , material constants and the pipe cross-sectional area ;

[0026] Obtain or calculate the fluid velocity at the target monitoring point and mass flow ;

[0027] When the target pipeline failure analysis model is an elbow failure analysis model, calculate the metal ductility of the target monitoring point and particle diameter correction factor ;

[0028] According to the speed index and the material density of the target monitoring point , characteristic impact angle , material constants , Pipe cross-sectional area , fluid velocity and mass flow Calculate the erosion rate of the target monitoring point:

[0029] .

[0030] Furthermore, the property parameters also include the material density of the pipeline , and material constants The step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the erosion rate, acidic water corrosion rate and carbon dioxide corrosion rate of the target monitoring point also includes:

[0031] Get pre-configured model geometry factors and unit conversion factors ;

[0032] Obtain or calculate the fluid velocity at the target monitoring point and mass flow ;

[0033] When the target pipeline failure analysis model is a three-way failure analysis model, calculate the characteristic pipeline area of ​​the target monitoring point and particle diameter correction factor ;

[0034] According to the speed index and the material density of the target monitoring point , material constants , characteristic pipeline area , fluid velocity and mass flow Calculate the erosion rate of the target monitoring point:

[0035] .

[0036] Furthermore, the property parameters also include the material density of the pipeline , characteristic impact angle and material constants The step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the erosion rate, acidic water corrosion rate and carbon dioxide corrosion rate of the target monitoring point also includes:

[0037] Gets a preconfigured unit conversion factor ;

[0038] Get the material density of the target monitoring point , characteristic impact angle and material constants ;

[0039] Obtain or calculate the fluid velocity at the target monitoring point and mass flow ;

[0040] When the target pipeline failure analysis model is a reduced diameter pipe failure analysis model, calculate the metal ductility of the target monitoring point. , characteristic pipeline area , flow reducer area ratio and particle diameter correction factor ;

[0041] According to the speed index and the material density of the target monitoring point , characteristic impact angle , material constants , characteristic pipeline area , flow reducer area ratio , fluid velocity and mass flow Calculate the erosion rate of the target monitoring point:

[0042] .

[0043] Furthermore, the state parameters also include ammonium hydrogen sulfide concentration and / or pressure equilibrium 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, acidic water corrosion rate and carbon dioxide corrosion rate of the target monitoring point also includes:

[0044] Obtain or calculate the ammonium hydrogen sulfide concentration and / or pressure equilibrium constant of the target monitoring point ;

[0045] The ammonium bisulfide concentration and / or pressure equilibrium constant Query the corresponding acid water corrosion rate from the pre-configured acid water corrosion rate relationship table .

[0046] Furthermore, the state parameters also include fluid temperature and fluid pH value, and the step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the erosion rate, acidic water corrosion rate and carbon dioxide corrosion rate of the target monitoring point also includes:

[0047] Obtain or calculate the fluid temperature of the target monitoring point and fluid value;

[0048] By the fluid temperature and fluid Values ​​from preconfigured temperature- Query the corresponding temperature-pH value coefficient in the value coefficient relationship table ;

[0049] Calculate the carbon dioxide escape rate of the target monitoring point and fluid flow shear stress ;

[0050] According to the temperature- Value coefficient , Carbon dioxide escape rate and fluid flow shear stress Calculate the carbon dioxide corrosion rate at the target monitoring point:

[0051] .

[0052] Furthermore, the pipeline failure analysis method based on the failure analysis model also includes:

[0053] Configuring a thickness data collection point in the pipeline topology model, wherein the thickness data collection point is a monitoring point in the pipeline topology model where a thickness measuring device is installed at a corresponding position on the pipeline site;

[0054] Using the thickness data of the thickness data acquisition point to compare and verify the thickness data calculated by the pipeline failure analysis model;

[0055] The pipeline failure analysis model is corrected according to the comparative verification structure.

[0056] The second aspect of the present invention provides a pipeline failure analysis device based on a failure analysis model, comprising a memory and a processor, wherein the processor executes a computer program stored in the memory to implement the pipeline failure analysis method based on the failure analysis model described in any one of the first aspects of the present invention.

[0057] 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. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 The present invention provides a flowchart of a pipeline failure analysis method based on a failure analysis model according to an embodiment of the present invention. DETAILED DESCRIPTION

[0059] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0060] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0061] In the description of the present invention, the term "multiple" refers to two or more. Unless otherwise clearly defined, the orientation or positional relationship indicated by the terms "upper", "lower", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation of the present invention. The terms "connection", "installation", "fixation", etc. should be understood in a broad sense. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be directly connected or indirectly connected through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to the specific circumstances. In addition, the terms "first", "second", etc. are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first", "second", etc. can explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, the meaning of "multiple" is two or more.

[0062] In the description of this specification, the description of the terms "one embodiment", "some implementations", "specific embodiments", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0063] A pipeline failure analysis method and device based on a failure analysis model according to some embodiments of the present invention will be described below with reference to the accompanying drawings.

[0064] like Figure 1 As shown, the first aspect of the present invention proposes a pipeline failure analysis method based on a failure analysis model, comprising:

[0065] Constructing a pipeline topology model of a coal gasification device, wherein the pipeline topology model is a three-dimensional model representing the pipeline spatial structure of the coal gasification device in a three-dimensional space coordinate system;

[0066] Constructing a pipeline failure analysis model for a coal gasification device, wherein the pipeline failure analysis model includes a straight pipe failure analysis model, an elbow failure analysis model, a tee failure analysis model, and a reduced diameter pipe failure analysis model;

[0067] Configuring basic data collection points in the pipeline topology model, wherein the basic data collection points are monitoring points in the pipeline topology model where data collection devices are installed at corresponding positions on the pipeline site;

[0068] Acquire basic data of the basic data collection point, the basic data including pre-configured pipeline attribute parameters and pipeline or pipeline fluid state parameters collected by the data collection device, the attribute parameters including pipeline material type and pipeline diameter , the state parameters include the fluid velocity in the pipeline and mass flow ;

[0069] Determine the basic data of the target monitoring point based on the basic data of the basic data collection point;

[0070] 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;

[0071] The failure state of the target monitoring point is analyzed according to the corrosion rate of the target monitoring point.

[0072] Specifically, the pipeline topology model is a three-dimensional model that represents the pipeline spatial structure of the coal gasification device in a three-dimensional space coordinate system, and the spatial coordinates can be used to represent any pipeline position in the pipeline topology model, so as to analyze the failure risk of the corresponding pipeline position through the pipeline failure analysis model. In the technical solutions of 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 can be used to query the attribute parameters of the corresponding pipeline position, such as material type, pipeline diameter, etc.

[0073] In the technical solution of the present invention, the pipeline failure analysis model includes a straight pipe failure analysis model, an elbow failure analysis model, a tee failure analysis model and a reduced diameter pipe failure analysis model, which are respectively applied to the failure analysis of different types of pipeline positions in the pipeline topology model, such as straight pipes, elbows, tees, reduced diameter pipes, etc. In the coal gasification pipeline, the straight pipe is the main part of the pipeline, which is cylindrical in shape, with an axis line of a straight line, and its inner diameter and outer diameter remain unchanged along the axis of the pipeline. The straight pipe is the most basic pipeline form in the coal gasification device, which is used to connect different equipment or transport media in the same direction, such as coal gas, steam, water or solid particles (such as coal slurry). 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 direction requirements in the coal gasification device. The shape of the elbow is an arc, and it can be divided into 90° elbows, 45° elbows and other types according to the different turning angles. The tee has three openings facing different directions, which are used to divide the fluid of a main pipeline into two different directions, or to converge the fluid of two different pipelines into one main pipeline, so as to realize the branching or merging of pipelines in the coal gasification pipeline. The reducer is a pipe fitting used to change the diameter of the coal gasification pipeline. It makes the inner diameter of the pipeline gradually smaller or larger at a certain position, realizing the transition of different diameters between pipelines.

[0074] The basic data collection point is a monitoring point at which a data collection device is installed in the corresponding on-site location. The selection of the basic data collection point should satisfy the requirement that the working parameters of any pipeline position other than the basic data collection point in the pipeline topology model can be calculated through the attribute parameters and working parameters of one or more adjacent basic data collection points, so that 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 its attribute parameters and working parameters. It should be known that the target monitoring point can be any pipeline position in the pipeline topology model including the basic data collection point. That is, in the step of determining the basic data of the target monitoring point based on the basic data of the basic data collection point, when the target monitoring point is not any basic data collection point, the attribute parameters of the target monitoring point obtained by querying from the pipeline topology model are used, and the working parameters of the target monitoring point are calculated based on the attribute parameters of the target monitoring point and the attribute parameters and working parameters of one or more basic data collection points adjacent to the target monitoring point, so as to obtain the complete basic data of the target monitoring point.

[0075] By adopting the technical solution of the present 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 of each pipeline position, so as to monitor the entire pipeline topology model in a visual manner to more intuitively reflect the failure state of the pipeline.

[0076] Furthermore, 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 specifically includes:

[0077] Identify the pipeline location type of the target monitoring point;

[0078] Determine a target pipeline failure analysis model corresponding to the target monitoring point according to the pipeline location type;

[0079] Inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the erosion rate, acid water corrosion rate and carbon dioxide corrosion rate of the target monitoring point;

[0080] The corrosion rate of the target monitoring point is calculated according to the erosion rate, the acidic water corrosion rate and the carbon dioxide corrosion rate of the target monitoring point.

[0081] As mentioned above, the pipeline position types include straight pipes, elbows, tees, reducers and the like. Different types of pipeline positions have different shapes and structures, and the erosion rates of the fluid in the pipes will also be different. The present invention uses different pipeline failure analysis models to calculate the corrosion rates of different types of pipeline positions.

[0082] Furthermore, the step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the erosion rate, acidic water corrosion rate and carbon dioxide corrosion rate of the target monitoring point specifically includes:

[0083] Determine the corresponding velocity index according to the material type of the pipe in the attribute parameter ;

[0084] Get the pipe diameter of the target monitoring point ;

[0085] Obtain or calculate the fluid velocity at the target monitoring point and mass flow ;

[0086] When the target pipeline failure analysis model is a straight pipe failure analysis model, according to the velocity index and the pipe diameter of the target monitoring point , fluid velocity and mass flow Calculate the erosion rate of the target monitoring point:

[0087] .

[0088] In the technical solution of the above embodiment, the material type and pipeline diameter of the target monitoring point It can be obtained by querying the pipeline topology model.

[0089] Furthermore, before constructing the pipeline topology model of the coal gasification device, it also includes configuring material constants , Speed ​​Index And material density In the step of constructing the pipeline topology model of the coal gasification device, the attribute energy data of the corresponding material type at each pipeline position is read from the material attribute parameter table and written into the pipeline topology model, or the associated configuration file of the pipeline topology model.

[0090] Further, when obtaining or calculating the fluid velocity at the target monitoring point and mass flow In the step of, when the target monitoring point is the basic data collection point, directly obtain the fluid velocity of the target monitoring point collected by the data collection device and mass flow When the target monitoring point is not any of the basic data collection points, the fluid velocity of the target monitoring point can be calculated through the working status data of the adjacent basic data collection points. and mass flow .

[0091] Furthermore, the property parameters also include the material density of the pipeline , characteristic impact angle , material constants and the pipe cross-sectional area The step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the erosion rate, acidic water corrosion rate and carbon dioxide corrosion rate of the target monitoring point also includes:

[0092] Get pre-configured model geometry factors and unit conversion factors ;

[0093] Get the material density of the target monitoring point , characteristic impact angle , material constants and the pipe cross-sectional area ;

[0094] Obtain or calculate the fluid velocity at the target monitoring point and mass flow ;

[0095] When the target pipeline failure analysis model is an elbow failure analysis model, calculate the metal ductility of the target monitoring point and particle diameter correction factor ;

[0096] According to the speed index and the material density of the target monitoring point , characteristic impact angle , material constants , Pipe cross-sectional area , fluid velocity and mass flow Calculate the erosion rate of the target monitoring point:

[0097] .

[0098] Preferably, the model geometry factor .

[0099] The unit conversion factor The unit conversion factor used to convert the erosion rate from millimeters per second to millimeters per year is .

[0100] Furthermore, 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, it also includes configuring a metal ductility constant table.

[0101] Calculate the metal ductility of the target monitoring point The steps specifically include:

[0102] Read the metal ductility constant from the metal ductility constant table ,in , is the number of metal elongation constants in the metal elongation constant table;

[0103] Based on the metal ductility constant and the characteristic impact angle Calculate the metal ductility of the target monitoring point:

[0104] .

[0105] Due to the metal ductility Only the characteristic impact angle of the pipeline It is related to the real-time state parameters of the pipeline during operation, so in the technical solutions of other embodiments of the present invention, the metal ductility of each pipeline position can also be calculated in advance. The pipeline topology model is configured, or a configuration file associated with the pipeline topology model.

[0106] Furthermore, the state parameters also include the liquid phase density of the fluid in the pipeline and gas phase density , and the particle density in the fluid , calculate the particle diameter correction coefficient of the target monitoring point The steps specifically include:

[0107] According to the pipe diameter of the monitoring point , Liquid density , gas phase density , fluid velocity and mass flow Calculate the fluid mixture density at the target monitoring point ;

[0108] Calculate the dimensionless parameters of the target monitoring point ,in The Reynolds number of the target monitoring point;

[0109] Defining critical particle size and particle size ratio , let the particle size ratio , then the critical particle size:

[0110] ;

[0111] Calculate the particle diameter correction factor ,in is the inner tube diameter.

[0112] Furthermore, the property parameters also include the material density of the pipeline , and material constants The step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the erosion rate, acidic water corrosion rate and carbon dioxide corrosion rate of the target monitoring point also includes:

[0113] Get pre-configured model geometry factors and unit conversion factors ;

[0114] Obtain or calculate the fluid velocity at the target monitoring point and mass flow ;

[0115] When the target pipeline failure analysis model is a three-way failure analysis model, calculate the characteristic pipeline area of ​​the target monitoring point and particle diameter correction factor ;

[0116] According to the speed index and the material density of the target monitoring point , material constants , characteristic pipeline area , fluid velocity and mass flow Calculate the erosion rate of the target monitoring point:

[0117] .

[0118] Furthermore, the characteristic pipeline area of ​​the target monitoring point The pipe diameter of the target monitoring point and characteristic impact angle The calculation results are:

[0119] .

[0120] Similarly, due to the characteristic pipeline area Only the pipe property parameter, namely the pipe diameter and the characteristic impact angle It is related to the real-time state parameters of the pipeline during operation, so in the technical solutions of other embodiments of the present invention, the characteristic pipeline area of ​​each pipeline position can also be calculated in advance. The pipeline topology model is configured, or a configuration file associated with the pipeline topology model.

[0121] Furthermore, the property parameters also include the material density of the pipeline , characteristic impact angle and material constants The step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the erosion rate, acidic water corrosion rate and carbon dioxide corrosion rate of the target monitoring point also includes:

[0122] Gets a preconfigured unit conversion factor ;

[0123] Get the material density of the target monitoring point , characteristic impact angle and material constants ;

[0124] Obtain or calculate the fluid velocity at the target monitoring point and mass flow ;

[0125] When the target pipeline failure analysis model is a reduced diameter pipe failure analysis model, calculate the metal ductility of the target monitoring point. , characteristic pipeline area , flow reducer area ratio and particle diameter correction factor ;

[0126] According to the speed index and the material density of the target monitoring point , characteristic impact angle , material constants , characteristic pipeline area , flow reducer area ratio , fluid velocity and mass flow Calculate the erosion rate of the target monitoring point:

[0127] .

[0128] Furthermore, the characteristic pipeline area of ​​the target monitoring point The first pipeline diameter of the target monitoring point , Second pipe diameter and characteristic impact angle The calculation results are:

[0129] .

[0130] The first pipe diameter is the pipe diameter before reduction, the second pipe diameter is the diameter of the pipe after reduction, that is .

[0131] Furthermore, the area ratio of the flow reducer at the target monitoring point is The first pipeline diameter of the target monitoring point , Second pipe diameter The calculation results are:

[0132] .

[0133] Similarly, due to the characteristic pipeline area and the reducer area ratio Only related to the pipe attribute parameter, namely the first pipe diameter , Second pipe diameter and characteristic impact angle It is related to the real-time state parameters of the pipeline during operation, so in the technical solutions of other embodiments of the present invention, the characteristic pipeline area of ​​each pipeline position can also be calculated in advance. and reducer area ratio The pipeline topology model is configured, or a configuration file associated with the pipeline topology model.

[0134] Furthermore, the state parameters also include ammonium hydrogen sulfide concentration and / or pressure equilibrium 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, acidic water corrosion rate and carbon dioxide corrosion rate of the target monitoring point also includes:

[0135] Obtain or calculate the ammonium hydrogen sulfide concentration and / or pressure equilibrium constant of the target monitoring point ;

[0136] The ammonium bisulfide concentration and / or pressure equilibrium constant Query the corresponding acid water corrosion rate from the pre-configured acid water corrosion rate relationship table .

[0137] Furthermore, 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, it also includes configuring the ammonium hydrogen sulfide concentration and / or pressure equilibrium constant Acidic water corrosion rate relationship table corresponding to several fluid velocity intervals. By querying the acidic water corrosion rate relationship table, the corresponding ammonium hydrogen sulfide concentration and / or pressure equilibrium constant in different fluid velocity intervals can be obtained. Numerical acid water corrosion rate.

[0138] Furthermore, the state parameters also include fluid temperature and fluid pH value, and the step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the erosion rate, acidic water corrosion rate and carbon dioxide corrosion rate of the target monitoring point also includes:

[0139] Obtain or calculate the fluid temperature of the target monitoring point and fluid value;

[0140] By the fluid temperature and fluid Values ​​from preconfigured temperature- Query the corresponding temperature-pH value coefficient in the value coefficient relationship table ;

[0141] Calculate the carbon dioxide escape rate of the target monitoring point and fluid flow shear stress ;

[0142] According to the temperature- Value coefficient , Carbon dioxide escape rate and fluid flow shear stress Calculate the carbon dioxide corrosion rate at the target monitoring point:

[0143] .

[0144] In the technical solutions of 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 also includes:

[0145] Determine whether the material type in the attribute parameter is carbon steel or a type of alloy steel material with less than 13%;

[0146] If the result is negative, it is deemed that there is no carbon dioxide corrosion, and 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 performed;

[0147] If the judgment is yes, it is sequentially judged whether there is liquid hydrocarbon in the fluid, whether the water content of the fluid is less than 20%, and whether the flow rate of the fluid is less than 1 meter per second;

[0148] When all three of the above conditions are met, it is deemed that there is no carbon dioxide corrosion, and 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 performed;

[0149] When any of the above three conditions is not met, calculate the dew point temperature of the fluid in the pipeline;

[0150] determining whether the current temperature of the fluid is lower than the dew point temperature;

[0151] If the current temperature of the fluid is higher than the dew point temperature, it is determined that there is no liquid water in the fluid, and it is deemed that there is no carbon dioxide corrosion, and 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 performed;

[0152] If the current temperature of the fluid is lower than the dew point temperature, according to the temperature- Value coefficient , Carbon dioxide escape rate and fluid flow shear stress Calculate the carbon dioxide corrosion rate at the target monitoring point:

[0153] .

[0154] Furthermore, the state parameters also include the carbon dioxide pressure in the fluid, the carbon dioxide fugacity It can be calculated based on the CO2 pressure in the fluid.

[0155] Furthermore, the state parameters also include the friction coefficient of the fluid, the density of the fluid mixture and the viscosity of the fluid mixture, and the fluid flow shear stress It can be calculated based on the friction coefficient of the fluid, the density of the fluid mixture, and the viscosity of the fluid mixture.

[0156] Furthermore, the pipeline failure analysis method based on the failure analysis model also includes:

[0157] Configuring a thickness data collection point in the pipeline topology model, wherein the thickness data collection point is a monitoring point in the pipeline topology model where a thickness measuring device is installed at a corresponding position on the pipeline site;

[0158] Using the thickness data of the thickness data acquisition point to compare and verify the thickness data calculated by the pipeline failure analysis model;

[0159] The pipeline failure analysis model is corrected according to the comparative verification structure.

[0160] Furthermore, the attribute parameters in the basic data also include the initial thickness of the pipeline The step of using the thickness data of the thickness data collection point to compare and verify the thickness data calculated by the pipeline failure analysis model specifically includes:

[0161] Determining the thickness data collection point as the target monitoring point;

[0162] Calculate the corrosion rate of the target monitoring point:

[0163] ;

[0164] According to the corrosion rate of the target monitoring point, for example Calculate the thickness change of the target monitoring point ,in The working time after the pipeline is put into use;

[0165] Calculate the real-time thickness of the target monitoring point The real-time thickness is calculated by using the thickness data of the thickness data acquisition point. Perform comparative verification.

[0166] Furthermore, the step of analyzing the failure state of the target monitoring point according to the corrosion rate of the target monitoring point specifically includes:

[0167] Calculate the corrosion rate of the target monitoring point:

[0168] ;

[0169] According to the corrosion rate of the target monitoring point, for example Calculate the thickness change of the target monitoring point ,in The working time after the pipeline is put into use;

[0170] Calculate the real-time thickness of the target monitoring point According to the real-time thickness To analyze the failure status of the target monitoring point.

[0171] The second aspect of the present invention provides a pipeline failure analysis device based on a failure analysis model, comprising a memory and a processor, wherein the processor executes a computer program stored in the memory to implement the pipeline failure analysis method based on the failure analysis model described in any one of the first aspects of the present invention.

[0172] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the statement "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0173] According to the embodiments of the present invention as described above, these embodiments do not describe all the details in detail, nor do they limit the invention to the specific embodiments described. Obviously, many modifications and changes can be made based on the above description. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can make good use of the present invention and the modified use based on the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A pipeline failure analysis method based on a failure analysis model, characterized in that: include: Constructing a pipeline topology model of a coal gasification device, wherein the pipeline topology model is a three-dimensional model representing the pipeline spatial structure of the coal gasification device in a three-dimensional space coordinate system; Constructing a pipeline failure analysis model for a coal gasification device, wherein the pipeline failure analysis model includes a straight pipe failure analysis model, an elbow failure analysis model, a tee failure analysis model, and a reduced diameter pipe failure analysis model; Configuring basic data collection points in the pipeline topology model, wherein the basic data collection points are monitoring points in the pipeline topology model where data collection devices are installed at corresponding positions on the pipeline site; Obtain basic data of the basic data collection point, the basic data including pre-configured pipeline attribute parameters and pipeline or pipeline state parameters collected by the data collection device, the attribute parameters including pipeline material type and pipeline diameter D, the state parameters including fluid velocity U in the pipeline p and mass flow Determine the basic data of the target monitoring point based on the basic data of the basic data collection point; 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; 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 the corresponding pipeline failure analysis model to calculate the corrosion rate of the target monitoring point specifically includes: Identify the pipeline location type of the target monitoring point; Determine a target pipeline failure analysis model corresponding to the target monitoring point according to the pipeline location type; Inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the erosion rate, acid water corrosion rate and carbon dioxide corrosion rate of the target monitoring point; The corrosion rate of the target monitoring point is calculated according to the erosion rate, the acidic water corrosion rate and the carbon dioxide corrosion rate of the target monitoring point.

2. The pipeline failure analysis method based on the failure analysis model according to claim 1 is characterized in that: The step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the erosion rate, acidic water corrosion rate and carbon dioxide corrosion rate of the target monitoring point specifically includes: Determine the corresponding velocity index n according to the material type of the pipeline in the attribute parameter; Obtain the pipe diameter D of the target monitoring point; Obtain or calculate the fluid velocity U of the target monitoring point p and mass flow When the target pipeline failure analysis model is a straight pipe failure analysis model, according to the velocity index n and the pipeline diameter D, fluid velocity U and mass flow rate of the target monitoring point, Calculate the erosion rate of the target monitoring point:

3. The pipeline failure analysis method based on the failure analysis model according to claim 2 is characterized in that: The property parameters also include the material density ρ of the pipe t , characteristic impact angle α, material constant K and pipe cross-sectional area A pipe The step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the erosion rate, acidic water corrosion rate and carbon dioxide corrosion rate of the target monitoring point also includes: Get the pre-configured model geometry factor C1 and unit conversion factor C unit ; Get the material density ρ of the target monitoring point t , characteristic impact angle α, material constant K and pipe cross-sectional area A pipe ; Obtain or calculate the fluid velocity U of the target monitoring point p and mass flow When the target pipeline failure analysis model is an elbow failure analysis model, calculating the metal ductility F(α) and the particle diameter correction coefficient G of the target monitoring point; According to the speed index n and the material density ρ of the target monitoring point t , characteristic impact angle α, material constant K, pipe cross-sectional area A pi x e , fluid velocity U and mass flow rate Calculate the erosion rate of the target monitoring point:

4. The pipeline failure analysis method based on the failure analysis model according to claim 2 is characterized in that: The property parameters also include the material density ρ of the pipe t , and material constant K, the step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the erosion rate, acidic water corrosion rate and carbon dioxide corrosion rate of the target monitoring point also includes: Get the pre-configured model geometry factor C1 and unit conversion factor C unit ; Obtain or calculate the fluid velocity U of the target monitoring point p and mass flow When the target pipeline failure analysis model is a three-way failure analysis model, calculate the characteristic pipeline area A of the target monitoring point t and particle diameter correction factor G; According to the speed index n and the material density ρ of the target monitoring point t , material constant K, characteristic pipe area A t , fluid velocity U and mass flow rate Calculate the erosion rate of the target monitoring point:

5. The pipeline failure analysis method based on the failure analysis model according to claim 2 is characterized in that: The property parameters also include the material density ρ of the pipe t , characteristic impact angle α and material constant K, the step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the erosion rate, acidic water corrosion rate and carbon dioxide corrosion rate of the target monitoring point also includes: Get the pre-configured unit conversion factor C unit ; Get the material density ρ of the target monitoring point t , characteristic impact angle α and material constant K; Obtain or calculate the fluid velocity U of the target monitoring point p and mass flow When the target pipeline failure analysis model is a reduced diameter pipe failure analysis model, the metal ductility F(α) and characteristic pipeline area A of the target monitoring point are calculated. t , flow reducer area ratio A ratio and particle diameter correction factor G; According to the speed index n and the material density ρ of the target monitoring point t , characteristic impact angle α, material constant K, characteristic pipeline area A t , flow reducer area ratio A ratio , fluid velocity U and mass flow rate Calculate the erosion rate of the target monitoring point:

6. The pipeline failure analysis method based on the failure analysis model according to any one of claims 2 to 5, characterized in that: The state parameters also include ammonium hydrogen sulfide concentration and / or pressure equilibrium constant K p The step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the erosion rate, acidic water corrosion rate and carbon dioxide corrosion rate of the target monitoring point also includes: Obtain or calculate the ammonium hydrogen sulfide concentration and / or pressure equilibrium constant K of the target monitoring point p ; The ammonium hydrogen sulfide concentration and / or pressure equilibrium constant K p The corresponding acidic water corrosion rate ACR is queried from the pre-configured acidic water corrosion rate relationship table.

7. The pipeline failure analysis method based on the failure analysis model according to claim 6 is characterized in that: The state parameters also include fluid temperature T and fluid pH value, and the step of inputting the basic data of the target monitoring point into the target pipeline failure analysis model to calculate the erosion rate, acidic water corrosion rate and carbon dioxide corrosion rate of the target monitoring point also includes: Obtaining or calculating the fluid temperature T and the fluid pH value at the target monitoring point; Querying the corresponding temperature-pH value coefficient f(T, pH) from a pre-configured temperature-pH value coefficient relationship table according to the fluid temperature T and the fluid pH value; Calculate the carbon dioxide escape rate of the target monitoring point and fluid flow shear stress S; According to the temperature-pH coefficient f(T, pH), carbon dioxide fugacity And the fluid flow shear stress S is used to calculate the carbon dioxide corrosion rate of the target monitoring point:

8. The pipeline failure analysis method based on the failure analysis model according to claim 1 is characterized in that: Also includes: Configuring a thickness data collection point in the pipeline topology model, wherein the thickness data collection point is a monitoring point in the pipeline topology model where a thickness measuring device is installed at a corresponding position on the pipeline site; Using the thickness data of the thickness data acquisition point to compare and verify the thickness data calculated by the pipeline failure analysis model; The pipeline failure analysis model is corrected according to the comparative verification structure.

9. A pipeline failure analysis device based on a failure analysis model, characterized in that: The method comprises a memory and a processor, wherein the processor executes a computer program stored in the memory to implement a pipeline failure analysis method based on a failure analysis model as claimed in any one of claims 1 to 8.

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