Fiber reinforced plastic pressure pipeline failure possibility assessment method and equipment

Abstract

The invention relates to a fiber reinforced plastic pressure pipeline failure possibility assessment method and equipment, and the method comprises the following steps: obtaining pipeline state data and environment data of a fiber reinforced plastic pressure pipeline, respectively calculating a management level factor S1, a sunlight irradiation level factor S2, a service life factor S3, a process factor S4, a safety accessory reliability factor S5, an environment humidity factor S6, a temperature factor S7, a fatigue working condition factor S8 and other damage factors S9, and further calculating the failure possibility S of the fiber reinforced plastic pressure pipeline; and comparing the failure possibility S of the fiber reinforced plastic pressure pipeline with a set threshold interval, and determining the failure possibility grade of the fiber reinforced plastic pressure pipeline. Compared with the prior art, the method has the advantages that the failure possibility and risk of the fiber reinforced plastic pressure pipeline can be evaluated more comprehensively, and powerful support is provided for formulating a scientific inspection strategy.

Description

Technical Field

[0001] The invention belongs to the technical field of pipe service safety evaluation, and in particular relates to a method and device for evaluating the failure possibility of a fiber reinforced plastic pressure pipe. Background Art

[0002] The current technical specifications for pressure pipelines, "Technical Supervision Regulations for Safety of Pressure Pipelines - Industrial Pipelines" (TSG D0001-2009) and "Rules for Periodic Inspection of Pressure Pipelines - Industrial Pipelines" (TSG D7005-2018), do not clearly stipulate how to implement and evaluate the periodic inspection results of fiber-reinforced plastic pressure pipelines. For the periodic inspection of fiber-reinforced plastic pressure pipelines, most of them are currently based on macro inspection of the outer surface patrol line and macro inspection of the inner lining layer. The main disadvantages are: first, the number of pipelines is huge, the workload is large, and second, the random inspection is random and blind.

[0003] Risk-based inspection (RBI) is a risk assessment technology used to determine the inspection and maintenance priority of equipment. It mainly gives risk ranking and finds out weak links based on scientific analysis of inherent or potential hazards in equipment. It has been widely used in the field of petroleum and chemical metal equipment. The application of RBI technology involves data collection and collation, failure possibility and consequence assessment, risk level determination, inspection plan formulation, inspection and monitoring implementation, etc. How to apply this technology to the regular inspection of non-metallic pressure pipelines and optimize the inspection resource allocation while improving the inspection effectiveness has become an urgent problem to be solved. Summary of the invention

[0004] The purpose of the present invention is to overcome the defects of the above-mentioned prior art and to provide a method and equipment for evaluating the possibility of failure of fiber reinforced plastic pressure pipelines, to conduct a more comprehensive evaluation of the possibility and risk of failure of fiber reinforced plastic pressure pipelines, and to provide strong support for the formulation of scientific inspection strategies.

[0005] The purpose of the present invention can be achieved by the following technical solutions:

[0006] The present invention provides a method for evaluating the failure possibility of a fiber reinforced plastic pressure pipeline, comprising the following steps:

[0007] Obtain the pipeline status data and environmental data of the fiber reinforced plastic pressure pipeline, calculate the management level factor S1, solar radiation level factor S2, service life factor S3, process factor S4, safety accessory reliability factor S5, environmental humidity factor S6, temperature factor S7, fatigue condition factor S8 and other damage factors S9, and then calculate the failure probability S of the fiber reinforced plastic pressure pipeline;

[0008] The failure probability S of the fiber reinforced plastic pressure pipeline is compared with a set threshold interval to determine the failure probability level of the fiber reinforced plastic pressure pipeline.

[0009] Furthermore, the calculation process of the solar radiation level factor S2 is as follows:

[0010] Obtaining the total amount of regional solar radiation in the environmental data, and classifying the solar radiation levels according to a set threshold range;

[0011] Based on the second correction factor The weight value corresponding to each solar radiation level Calculate the value of the solar radiation level factor S2:

[0012]

[0013] Among them, the correction coefficient Differentiate settings based on whether the pipeline is indoors.

[0014] Furthermore, the calculation process of the service life factor S3 is as follows:

[0015] Calculate the pipeline aging life y according to GB / T 35974.1-2018 and establish a service life classification model;

[0016] The pipeline service life t in the pipeline status data is obtained, and substituted into the service life grade classification model to obtain the value of the service life factor S3.

[0017] Furthermore, the expression of the service life level classification model is as follows:

[0018]

[0019] Among them, Y is the service life level classification model.

[0020] Furthermore, the calculation process of the process factor S4 is as follows:

[0021] According to GB26610.3-2014, a process classification model is established. The annual planned and unplanned shutdown times in the pipeline status data are input into the process classification model, and the process classification category of the current pipeline is output. The weight value corresponding to the process classification category of the current pipeline is used. As the value of the safety attachment reliability factor S4.

[0022] Furthermore, the calculation process of the safety attachment reliability factor S5 is as follows:

[0023] According to GB26610.3-2014, a safety accessory reliability classification model is established, the pipeline status data is input into the safety accessory reliability classification model, the safety accessory reliability category of the current pipeline is output, and the weight value corresponding to the safety accessory reliability category of the current pipeline is used. As the value of the safety attachment reliability factor S5.

[0024] Furthermore, the calculation process of the environmental humidity factor S6 is as follows:

[0025] Obtain the ambient humidity in the pipeline status data, compare it with the set humidity threshold, divide the humidity conditions, and use the weight value corresponding to the current pipeline humidity condition As the value of the ambient humidity factor S6;

[0026] The calculation process of the temperature factor S7 is as follows:

[0027] Obtain the ambient temperature in the pipeline status data, compare it with the set temperature threshold, divide the temperature conditions, and use the weight value corresponding to the current pipeline temperature condition As the value of temperature factor S7.

[0028] Furthermore, the calculation process of the other damage factor S9 is as follows:

[0029] Obtain the environmental data to determine whether there are other damage mechanisms, including gas penetration, microbial corrosion and environmental stress cracking, and use the weight values ​​corresponding to each other damage mechanism As the value of other damage factor S9.

[0030] Furthermore, the failure probability S of the fiber reinforced plastic pressure pipe is the sum of the calculation results of each factor.

[0031] The present invention also provides an electronic device, comprising a memory, a processor, and a program stored in the memory, wherein the processor implements the above method when executing the program.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] The present invention provides a method for evaluating the possibility of failure of a fiber reinforced plastic pressure pipeline. First, based on the pipeline status data and environmental data of the fiber reinforced plastic pressure pipeline, the management level factor S1, the solar radiation level factor S2, the service life factor S3, the process factor S4, the safety accessory reliability factor S5, the environmental humidity factor S6, the temperature factor S7, the fatigue condition factor S8 and other damage factors S9 are calculated respectively, and then the failure possibility S of the fiber reinforced plastic pressure pipeline is calculated. Then, the failure possibility S of the fiber reinforced plastic pressure pipeline is compared with the set threshold interval to determine the failure possibility level of the fiber reinforced plastic pressure pipeline. Specifically, the management level factor S1 can reflect the management level and maintenance capability of the pipeline operating unit, and the solar radiation level factor S2 takes into account the The service life factor S3 can reflect the impact of solar radiation on pipeline materials, the service life factor S3 can reflect the service life and aging degree of the pipeline, the process factor S4 can reflect the durability and reliability of the pipeline, the safety accessory reliability factor S5 can evaluate the reliability and performance of the safety accessories on the pipeline, the environmental humidity factor S6 considers the influence of humidity on the hygroscopic expansion of the pipeline material, the temperature factor S7 considers the influence of temperature on the performance of the pipeline material, the fatigue condition factor S8 considers the pressure fluctuation and fatigue load that the pipeline is subjected to during long-term use, and the other damage factor S9 considers other damage mechanisms, including the influence of gas penetration, microbial corrosion and environmental stress cracking on the pipeline. The above method can effectively and comprehensively evaluate the failure possibility of fiber reinforced plastic pressure pipelines and provide a strong guarantee for the safe operation of pipelines. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 Flow chart of the method of the present invention. DETAILED DESCRIPTION

[0035] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is implemented based on the technical solution of the present invention, and provides a detailed implementation method and specific operation process, but the protection scope of the present invention is not limited to the following embodiments.

[0036] Example:

[0037] This embodiment provides a method for evaluating the failure probability of a fiber reinforced plastic pressure pipeline. Figure 1 As shown, the following steps are included:

[0038] Step 1: Obtain the pipeline status data and environmental data of the fiber reinforced plastic pressure pipeline, and calculate the management level factor S1, solar radiation level factor S2, service life factor S3, process factor S4, safety accessory reliability factor S5, environmental humidity factor S6, temperature factor S7, fatigue condition factor S8 and other damage factor S9 respectively.

[0039] Step 2: Based on the factors calculated in step 1, calculate the failure probability S = S1 + S2 + S3 + S4 + S5 + S6 + S7 + S8 + S9 of the fiber reinforced plastic pressure pipeline.

[0040] Step 3: Compare the failure probability S of the fiber reinforced plastic pressure pipeline with the set threshold range to determine the failure probability level of the fiber reinforced plastic pressure pipeline.

[0041] The calculation steps for each factor are as follows:

[0042] (1) Management level factor S1

[0043] The pipeline status data includes the design, installation, and completion documents of the pipeline, the management information of the user unit, and the previous inspection information. According to DB31 / T1188-2019 "Guidelines for Safety Management Evaluation of Special Equipment Users", the management level of the user unit is evaluated and scored from the aspects of the user unit management system, special equipment organization and personnel settings, special equipment file management, emergency and accident plans, etc., with reference to the assignment rules of GB26610.3-2014, and the values ​​are taken according to Table 1:

[0044] Table 1 Management level factor S1 value table

[0045]

[0046]

[0047] (2) Solar radiation level factor S2

[0048] Obtain the total amount of regional solar radiation in the environmental data, divide the solar radiation level according to the set threshold range, and then, based on the second correction coefficient The weight value corresponding to each solar radiation level Calculate the value of solar radiation level factor S2:

[0049]

[0050] Among them, the weight value corresponding to each solar radiation level As shown in Table 2:

[0051] Table 2 Weight values ​​corresponding to each solar radiation level Value table

[0052]

[0053] Correction factor Differentiate and set according to whether the pipeline is indoors. If the pipeline is indoors, the correction factor Take 0.2. If the pipeline is outdoors, the correction factor is Take 1 (reference: Zhu Chunya et al. Research on artificial accelerated aging of unsaturated polyester fiberglass [J]. Failure Analysis and Prevention, 2008, 3(3): 12-16. Research results).

[0054] (3) Service life factor S3

[0055] According to the method in Appendix A of GB / T 35974.1-2018 "Plastic and Lined Pressure Vessels Part 1: General Requirements", the pipeline aging life y is calculated and the service life classification model Y is established, as follows:

[0056]

[0057] Where t is the service life of the pipeline.

[0058] Then, the service life of the pipeline in the pipeline status data is obtained and substituted into the service life classification model. The model output value is the value of the service life factor S3.

[0059] (4) Process factor S4

[0060] According to GB26610.3-2014, the process classification model N is established. The annual planned and unplanned shutdown times in the pipeline status data are input into the process classification model, and the process classification category of the current pipeline is output. The value corresponding to the current pipeline process classification category is used. As the value of the safety attachment reliability factor S4. The weight value corresponding to the process classification category As shown in Table 3:

[0061] Table 3 Weight values ​​corresponding to each process classification category Value table

[0062]

[0063] (5) Safety attachment reliability factor S5

[0064] According to GB26610.3-2014, a safety accessory reliability classification model is established. The pipeline status data is input into the safety accessory reliability classification model, and the reliability category of the current pipeline safety accessories (such as valves, flanges, etc.) is output. The weight value corresponding to the reliability category of the current pipeline safety accessories is used. As the value of the safety attachment reliability factor S5. The weight value corresponding to each safety attachment reliability category As shown in Table 4:

[0065] Table 4 Weight values ​​corresponding to each safety accessory reliability category Value table

[0066]

[0067] (6) Environmental humidity factor S6

[0068] Obtain the ambient humidity in the pipeline status data, compare it with the set humidity threshold, divide the humidity conditions, and use the weight value corresponding to the current pipeline humidity condition As the value of the environmental humidity factor S6. The weight value corresponding to each humidity condition As shown in Table 5:

[0069] Table 5 Weight values ​​corresponding to each humidity condition Value table

[0070]

[0071] (7) Temperature factor S7

[0072] Get the ambient temperature in the pipeline status data, compare it with the set temperature threshold, divide the temperature conditions, and use the weight value corresponding to the current pipeline temperature condition As the value of temperature factor S7. The weight value corresponding to each temperature condition As shown in Table 6:

[0073] Table 6 Weight values ​​corresponding to each temperature condition Value table

[0074]

[0075] (8) Fatigue condition factor S8

[0076] If fatigue condition exists, S8 takes the value of 3, otherwise it takes the value of 0.

[0077] (9) Other damage factors S9

[0078] Obtain environmental data to determine whether there are other damage mechanisms, and use the weight values ​​corresponding to each other damage mechanism As the value of other damage factor S9. In this embodiment, three damage mechanisms, gas penetration, microbial corrosion and environmental stress cracking, are selected, and the corresponding weight values ​​are They are 3, 3 and 5 respectively. Specifically, the existence of gas permeation risk can be determined by gas permeation test, monitoring of specific gas concentration, etc.; the existence of microbial corrosion risk can be determined by microbial sampling and analysis, etc.; the existence of environmental stress cracking risk can be determined by crack sensitivity test, ultrasonic detection or penetration detection, etc.

[0079] The above factors are summed to obtain the failure probability S of the fiber reinforced plastic pressure pipeline. The set threshold range and failure probability level are shown in Table 7:

[0080] Table 7 Failure probability threshold intervals and corresponding failure probability levels

[0081] Failure probability Failure probability level 0～15 1 16～25 2 26～35 3 36～50 4 51～70 5

[0082] The higher the failure probability level, the greater the risk of pipeline failure. The above process takes into account multiple factors, which can comprehensively evaluate the failure risk of pipelines and formulate inspection strategies based on the failure probability levels of all pipelines.

[0083] If the above method is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0084] The above description of the embodiments is to facilitate the understanding and use of the invention by those skilled in the art. It is obvious that those skilled in the art can easily make various modifications to these embodiments and apply the general principles described herein to other embodiments without creative work. Therefore, the present invention is not limited to the above embodiments, and improvements and modifications made by those skilled in the art based on the disclosure of the present invention without departing from the scope of the present invention should be within the scope of protection of the present invention.

Claims

1. A method for assessing the possibility of failure of a fiber reinforced plastic pressure pipeline, characterized in that: The following steps are involved: Obtain the pipeline status data and environmental data of the fiber reinforced plastic pressure pipeline, calculate the management level factor S1, solar radiation level factor S2, service life factor S3, process factor S4, safety accessory reliability factor S5, environmental humidity factor S6, temperature factor S7, fatigue condition factor S8 and other damage factors S9, and then calculate the failure probability S of the fiber reinforced plastic pressure pipeline; The failure probability S of the fiber reinforced plastic pressure pipeline is compared with a set threshold value interval to determine the failure probability level of the fiber reinforced plastic pressure pipeline.

2. A method for assessing the possibility of failure of a fiber reinforced plastic pressure pipeline according to claim 1, characterized in that: The calculation process of the solar radiation level factor S2 is as follows: Obtaining the total amount of regional solar radiation in the environmental data, and classifying the solar radiation levels according to a set threshold range; Based on the second correction factor The weight value corresponding to each solar radiation level Calculate the value of the solar radiation level factor S2: Among them, the correction coefficient Differentiate settings based on whether the pipeline is indoors.

3. The method for evaluating the failure probability of a fiber reinforced plastic pressure pipeline according to claim 1, characterized in that: The calculation process of the service life factor S3 is as follows: Calculate the pipeline aging life y according to GB / T 35974.1-2018 and establish a service life classification model; The pipeline service life t in the pipeline status data is obtained, and substituted into the service life grade classification model to obtain the value of the service life factor S3.

4. A method for assessing the possibility of failure of a fiber reinforced plastic pressure pipeline according to claim 3, characterized in that: The expression of the service life level classification model is as follows: Among them, Y is the service life level classification model.

5. The method for evaluating the failure possibility of a fiber reinforced plastic pressure pipeline according to claim 1, characterized in that: The calculation process of the process factor S4 is as follows: According to GB26610.3-2014, a process classification model is established. The annual planned and unplanned shutdown times in the pipeline status data are input into the process classification model, and the process classification category of the current pipeline is output. The weight value corresponding to the process classification category of the current pipeline is used. As the value of the safety attachment reliability factor S4.

6. The method for evaluating the failure probability of a fiber reinforced plastic pressure pipeline according to claim 1, characterized in that: The calculation process of the safety attachment reliability factor S5 is as follows: According to GB26610.3-2014, a safety accessory reliability classification model is established, the pipeline status data is input into the safety accessory reliability classification model, the safety accessory reliability category of the current pipeline is output, and the weight value corresponding to the safety accessory reliability category of the current pipeline is used. As the value of the safety attachment reliability factor S5.

7. The method for evaluating the failure probability of a fiber reinforced plastic pressure pipeline according to claim 1, characterized in that: The calculation process of the environmental humidity factor S6 is as follows: Obtain the ambient humidity in the pipeline status data, compare it with the set humidity threshold, divide the humidity conditions, and use the weight value corresponding to the current pipeline humidity condition As the value of the ambient humidity factor S6; The calculation process of the temperature factor S7 is as follows: Obtain the ambient temperature in the pipeline status data, compare it with the set temperature threshold, divide the temperature conditions, and use the weight value corresponding to the current pipeline temperature condition As the value of temperature factor S7.

8. The method for evaluating the failure probability of a fiber reinforced plastic pressure pipeline according to claim 1, characterized in that: The calculation process of the other damage factor S9 is as follows: Obtain the environmental data to determine whether there are other damage mechanisms, including gas penetration, microbial corrosion and environmental stress cracking, and use the weight values ​​corresponding to each other damage mechanism As the value of other damage factor S9.

9. The method for evaluating the failure possibility of a fiber reinforced plastic pressure pipeline according to claim 1, characterized in that: The failure probability S of the fiber reinforced plastic pressure pipeline is the sum of the calculation results of each factor.

10. An electronic device comprising a memory, a processor, and a program stored in the memory, characterized in that: When the processor executes the program, the method according to any one of claims 1 to 9 is implemented.

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