A process piping vibration risk assessment method based on PCF model

Abstract

This invention discloses a process pipeline vibration risk assessment method based on the PCF model, which relates to the technical field of process pipeline vibration risk assessment. The method comprises the following steps: Step 1: Reading a PCF format file; Step 2: Creating a pipeline information data table; Step 3: Identifying and grouping key components; Step 4: Classifying vibration mechanism assessment formulas; and Step 5: Obtaining assessment results. By parsing the PCF file, the method obtains the pipeline structure model and key component parameters, which serve as input for the vibration risk assessment method, thereby achieving rapid vibration risk assessment.

Description

Technical Field

[0001] The present invention relates to the technical field of process pipeline vibration risk assessment, and in particular to a process pipeline vibration risk assessment method based on a PCF model. Background Art

[0002] Process pipelines, as crucial devices for transporting gases and liquids, are widely used in industries such as thermal power, petrochemicals, and nuclear power. Pipeline vibration is a common phenomenon across all industries. Strong vibrations can subject pipelines and pipe components to adverse additional loads, potentially leading to loss of instrumentation functionality, breakage of small branches, media leakage, and noise radiation, or even complete pipeline failure. Pipeline vibration directly impacts system operational safety and economic efficiency, drawing significant attention from the industry. Excessive pipeline vibration can be caused by a variety of factors, including flow-induced vibration, mechanical vibration, and acoustic vibration. Different assessment methods are required for different pipeline vibration mechanisms.

[0003] The UK's Energy Institute has developed a guide to preventing vibration fatigue failure in process piping (hereinafter referred to as the "Vibration Risk Assessment Guide"). Based on the characteristics of various vibration types and piping layout parameters, the "Vibration Risk Assessment Guide" provides a pipeline vibration risk probability (LOF) assessment method. This method requires a deep understanding of piping system design parameters and vibration mechanisms, and the calculation process is complex, requiring manual input of numerous parameters, which is time-consuming and labor-intensive. In practical applications, it is necessary to develop a method to improve the efficiency of large-scale piping system vibration risk assessment.

[0004] The PCF file format is ISOGEN pipeline data developed by Alias, which was acquired by Intergraph Corporation of the United States. Because it is a text file and is simple and easy to understand, it has become the industrial standard for pipeline data exchange and is widely used in various industries, providing convenience for pipeline design, manufacturing and installation. Summary of the Invention

[0005] The purpose of the present invention is to provide a process pipeline vibration risk assessment method based on the PCF model to solve the problem proposed in the above background technology that manual input is required and time-consuming and labor-intensive.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A process piping vibration risk assessment method based on the PCF model includes the following steps:

[0008] Step 1: Read the PCF format file, parse it according to PCF rules, and form a pipe component parameter model;

[0009] Step 2: Identify pipe components, establish topological relationships, and perform fault-tolerance processing. Connect pipe component models through geometric topological relationships to form a pipeline system. Record pipe component information and connection information to establish a pipeline information database.

[0010] Step 3: Extract parameters of straight pipes, branch pipes, and valve components to form a pipe component database;

[0011] Step 4: Classify the vibration mechanism evaluation formulas in the "Vibration Risk Assessment Guidelines". Each formula corresponds to a specific pipe component. Read the parameters in the corresponding pipe component database to achieve automatic evaluation.

[0012] Step 5: Calculate the probability value LOF of the vibration mechanism of each pipe component according to the evaluation formula, and summarize it to obtain the LOF value of the pipeline system.

[0013] Preferably, the PCF file in step 1 includes straight pipe, support, elbow, tee, and valve information.

[0014] Preferably, in step 1, the unit type, structural dimensions, connection information, constraint location and direction information of the pipe component are parsed.

[0015] Preferably, the work in step 2 first requires traversing the pipeline drawing, determining the end units, establishing the connection relationship between the units, and deleting duplicate units, and then performing coordinate transformation, filling the gaps between pipe components, assigning standard part parameters, judging the free ends, and identifying and updating the model boundaries.

[0016] Preferably, the pipe component database in step 3 includes the inner diameter of the main pipe, the inner diameter of the branch pipe, the length of the branch pipe, the fluid sound velocity, the fluid density, the dynamic viscosity, the Reynolds number, and the average flow velocity of the main pipe.

[0017] Preferably, the inner diameter of the main pipe, the inner diameter of the branch pipe, and the length of the branch pipe are obtained from a pipeline information database.

[0018] Preferably, the fluid sound velocity, fluid density, and dynamic viscosity are obtained from a water vapor table, the Reynolds number is calculated according to a formula, and the main pipe average flow velocity is obtained according to the system operating conditions.

[0019] Preferably, in step 4, at each branch or tee connection, the flow-induced vibration LOF value is calculated based on the gas sound velocity, branch inner diameter, main pipe inner diameter, branch length, Reynolds number, average fluid flow rate in the main pipe, and gas density.

[0020] Compared with the prior art, the present invention has the following beneficial effects:

[0021] 1. The present invention can obtain the pipeline structure model and key component parameters by parsing the PCF file, and use the model and parameters as input to establish a vibration risk assessment method interface, thereby realizing rapid vibration risk assessment. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is the direct management information analysis of the PCF file of the present invention;

[0023] Figure 2 Parsing the PCF file support information of the present invention;

[0024] Figure 3 The elbow information of the PCF file of the present invention is parsed;

[0025] Figure 4 It is the three-way information analysis of the PCF file of the present invention;

[0026] Figure 5 The valve information analysis of the PCF file of the present invention;

[0027] Figure 6 is a flow chart of the risk assessment method of the present invention;

[0028] Figure 7 Establishing a process for pipe component identification and topological relationships of the present invention;

[0029] Figure 8 This is the direct pipe information data table of the present invention;

[0030] Figure 9 This is the branch pipe information data table of the present invention;

[0031] Figure 10 This is the valve information data table of the present invention;

[0032] Figure 11 The diagram shows the grouping of key components of the present invention and their corresponding evaluation mechanism. DETAILED DESCRIPTION

[0033] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0034] See also Figure 6 The present invention provides a technical solution: a process pipeline vibration risk assessment method based on the PCF model, comprising the following steps:

[0035] 1. Step 1, read PCF format file:

[0036] Read PCF format files, such as Figure 1-5 As shown in the figure, the PCF file includes straight pipes, supports, elbows, tees, and valve information. After reading, it is parsed according to PCF rules to parse out the pipe component unit type, structural dimensions, connection information, constraint locations, and direction information to form a pipe component parameter model. Figure 1 It is the direct management information analysis of the PCF file of the present invention; Figure 2 Parsing the PCF file support information of the present invention; Figure 3 The elbow information of the PCF file of the present invention is parsed; Figure 4 It is the three-way information analysis of the PCF file of the present invention; Figure 5 The valve information analysis of the PCF file of the present invention;

[0037] 2. Step 2, create a pipeline information data table:

[0038] like Figure 7 As shown in the figure, the pipe component identification and topological relationship establishment work is carried out. First, the pipeline drawing is traversed to determine the end units, establish the connection relationship between the units, and delete the duplicate units. Then, coordinate transformation, pipe component gap filling, standard part parameters are assigned, free end judgment, model boundary identification and update are carried out. In this way, the pipe component models are connected through geometric topological relationships to form a pipeline system. The pipe component information and connection information are recorded, and the pipeline information database is established.

[0039] 3. Step 3: Identify key components and group them:

[0040] like Figure 8-11 As shown, the parameters of straight pipes, branch pipes, and valve components are extracted to form a pipe component database. The pipe component database includes the inner diameter of the main pipe, the inner diameter of the branch pipe, the length of the branch pipe, the fluid sound velocity, the fluid density, the dynamic viscosity, the Reynolds number, and the average flow velocity of the main pipe. The inner diameter of the main pipe, the inner diameter of the branch pipe, and the length of the branch pipe are obtained from the pipeline information database, the fluid sound velocity, the fluid density, and the dynamic viscosity are obtained from the water vapor table, the Reynolds number is calculated according to the formula, and the average flow velocity of the main pipe is obtained according to the system operating conditions;

[0041] 4. Step 4, “Vibration Risk Assessment Guidelines” Vibration Mechanism Assessment Formula Classification:

[0042] The vibration mechanism evaluation formulas are classified into categories. Each category of formulas corresponds to a specific pipe component. The parameters in the corresponding pipe component database are read to achieve automatic evaluation, such as Figure 10 As shown;

[0043] 5. Step 5: Get the evaluation results:

[0044] The probability value LOF of the vibration mechanism of each pipe component is calculated according to the evaluation formula of the "Vibration Risk Assessment Guidelines", and the LOF value of the pipeline system is obtained after summarizing;

[0045] By parsing the PCF file, the pipeline structure model and key component parameters can be obtained, and the model and parameters can be used as input to establish a vibration risk assessment method interface, thereby achieving rapid vibration risk assessment. Figure 1-5 This is the information analysis of each component of the PCF file of the present invention.

[0046] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A process pipeline vibration risk assessment method based on PCF model, characterized in that: The steps include: Step 1: Read the PCF format file, parse it according to PCF rules, and form a pipe component parameter model; Step 2: Identify pipe components, establish topological relationships, and perform fault-tolerance processing. Connect pipe component models through geometric topological relationships to form a pipe network. Record pipe component information and connection information to establish a pipeline information database. Step 3: Extract parameters of straight pipes, branch pipes, and valve components to form a pipe component database; Step 4: Classify the vibration risk assessment formulas according to applicable objects. Each formula corresponds to a specific pipe component, and read the parameters in the corresponding pipe component database to achieve automatic assessment. Step 5: Calculate the probability value LOF of the vibration mechanism of each pipe component according to the evaluation formula, and summarize it to obtain the LOF value of the pipeline system; The PCF file in step 1 includes straight pipe, support, elbow, tee, and valve information; In step 1, the unit type, structural dimensions, connection information, constraint location and direction information of the pipe component are parsed; In step 2, the pipeline drawing must first be traversed to determine the end units, establish the connection relationship between the units, and delete the duplicate units. Then, coordinate transformation, gap filling of pipe components, assignment of standard part parameters, free end determination, model boundary identification and update are performed. The pipe component database in step 3 includes the inner diameter of the main pipe, the inner diameter of the branch pipe, the length of the branch pipe, the fluid sound velocity, the fluid density, the dynamic viscosity, the Reynolds number, and the average flow velocity of the main pipe.

2. A process pipeline vibration risk assessment method based on PCF model according to claim 1, characterized in that: The inner diameter of the main pipe, the inner diameter of the branch pipe, and the length of the branch pipe are obtained from a pipeline information database.

3. A process pipeline vibration risk assessment method based on PCF model according to claim 1, characterized in that: The fluid sound velocity, fluid density, and dynamic viscosity are obtained from a water vapor table.

4. A process pipeline vibration risk assessment method based on PCF model according to claim 1, characterized in that: The Reynolds number is calculated according to the formula.

5. The process pipeline vibration risk assessment method based on the PCF model according to claim 1 is characterized in that: The average flow velocity of the main pipe is obtained according to the system operating conditions.

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