An on-line inspection method and device for organic heat carrier pressure pipelines without shutting down the machine

Abstract

The present application provides a method and device for on-line inspection of an organic heat carrier pressure pipeline without shutting down the machine. The method provided by the present application includes: determining a first candidate detection position according to the structure of the pressure pipeline to be measured; determining real-time operation information based on the attribute information of the organic heat carrier transported by the pressure pipeline to be measured and the working condition information of the pressure pipeline to be measured; inputting the real-time operation information into a pressure pipeline structure safety performance decay model, obtaining a model prediction result based on the attribute information, and screening out an initial detection position from the first candidate detection positions according to the model prediction result; obtaining a state image of the initial detection position through ray digital imaging technology, identifying the state image based on the fouling detection standard, and obtaining an identification result of the initial detection position; determining the state of the pressure pipeline to be measured based on the identification result. The method and device for on-line inspection of an organic heat carrier pressure pipeline provided by the present application are used to accurately and reliably complete the on-line inspection of the organic heat carrier pressure pipeline.

Description

Technical Field

[0001] The present application relates to the technical field of special equipment inspection, and particularly to an on-line inspection method, device and equipment for organic heat carrier pressure pipelines without shutting down the machine. Background Art

[0002] With the rapid development of industrialization, as an important heat transfer medium, organic heat carriers are widely used in multiple industries such as petrochemical and biopharmaceutical due to their characteristics of uniform heating, accurate temperature regulation, and the ability to generate high temperatures under low pressure. However, in a high-temperature and high-pressure working environment, the operation safety of organic heat carrier pressure pipelines faces severe challenges. Traditional pipeline inspection methods often need to be carried out under shutdown conditions. The temperature of the organic heat carrier during operation is generally between 200 - 400 °C, and this environment may cause expansion, deformation and corrosion of materials, while the high-pressure environment may cause stress concentration and fatigue damage to the pipeline, all of which will affect the reliability and safety of the pipeline and increase the difficulty of its inspection. Once a leak occurs, due to the high surface temperature, there is a risk of burning, and it is extremely easy to cause fire hazards, resulting in losses of personnel and property.

[0003] Therefore, in order to regularly complete the inspection of organic heat carrier pressure pipelines, it is necessary to be operated by a high-quality personnel team with professional training and relevant technologies, and professional equipment and instruments are used, which increases the cost and difficulty of regular inspection. At the same time, regular inspection needs to be carried out during the pipeline shutdown period. During the inspection period, the insulation layer of the organic heat carrier pressure pipeline needs to be removed, and the organic heat carrier material needs to be emptied. The cycle is long, which will affect the production progress of the enterprise and cause huge economic losses.

[0004] To sum up, the existing detection of organic heat carrier pressure pipelines not only has a high difficulty, but also needs to comprehensively consider factors such as high-temperature and high-pressure environment, material characteristics, pipeline structure layout, and the technical level of detection equipment and personnel, resulting in low detection efficiency and difficulty in meeting the needs of on-line non-shutdown detection. Summary of the Invention

[0005] In view of this, the present application provides an on-line inspection method and device for organic heat carrier pressure pipelines without shutting down the machine, so as to accurately and reliably complete the on-line inspection of organic heat carrier pressure pipelines.

[0006] Specifically, the present application is implemented through the following technical solutions:

[0007] The first aspect of the present application provides an on-line inspection method for organic heat carrier pressure pipelines without shutting down the machine, and the method includes:

[0008] Determine the first candidate detection position according to the structure of the pressure pipeline to be measured;

[0009] Determine the real-time operation information based on the attribute information of the organic heat carrier transported by the pressure pipeline to be measured and the working conditions information of the pressure pipeline to be measured;

[0010] Input the real-time operation information into the pressure pipeline structural safety performance decay model, obtain the model prediction result based on the attribute information, and screen out the initial detection positions from the first candidate detection positions according to the model prediction result. The pressure pipeline structural safety performance decay model is used to predict the variation law of the corrosion conditions of each position of the pressure pipeline to be measured over time;

[0011] Obtain the status image of the initial detection position through ray digital imaging technology, identify the status image based on the fouling detection standard, and obtain the identification result of the initial detection position;

[0012] Determine the status of the pressure pipeline to be measured based on the identification result.

[0013] A second aspect of the present application provides an on-line inspection device for an organic heat carrier pressure pipeline without shutting down the machine. The device includes a determination module, a screening module, and an identification module; wherein,

[0014] The determination module is used to determine the first candidate detection positions according to the structure of the pressure pipeline to be measured;

[0015] The determination module is further used to determine the real-time operation information based on the attribute information of the organic heat carrier transported by the pressure pipeline to be measured and the working conditions information of the pressure pipeline to be measured;

[0016] The screening module is used to input the real-time operation information into the pressure pipeline structural safety performance decay model, obtain the model prediction result based on the attribute information, and screen out the initial detection positions from the first candidate detection positions according to the model prediction result. The pressure pipeline structural safety performance decay model is used to predict the variation law of the corrosion conditions of each position of the pressure pipeline to be measured over time;

[0017] The identification module is used to obtain the status image of the initial detection position through ray digital imaging technology, identify the status image based on the fouling detection standard, and obtain the identification result of the initial detection position;

[0018] The determination module is further used to determine the status of the pressure pipeline to be measured based on the identification result.

[0019] A third aspect of the present application provides an on-line inspection equipment for an organic heat carrier pressure pipeline without shutting down the machine, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the steps of any of the methods provided in the first aspect of the present application are implemented.

[0020] The fourth aspect of the present application provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the steps of any of the methods provided in the first aspect of the present application are implemented.

[0021] The method and device for online inspection of an organic heat carrier pressure pipeline provided by the present application preliminarily determine the first candidate detection positions prone to problems according to the structural characteristics of the pressure pipeline to be measured, laying a solid foundation for subsequent detection work. Further, by collecting and analyzing the attribute information of the transported organic heat carrier and the working conditions information of the pipeline, the operating state of the pressure pipeline to be measured that is currently concerned is mastered, providing a scientific basis for accurately judging the positions by the subsequent model. Further, the structural safety performance decay model of the pressure pipeline can simulate the changes of the pipeline based on the information of the organic heat carrier and the pressure pipeline to be measured obtained currently, so as to accurately predict the variation law of the corrosion situation at each position of the pipeline with time, so as to accurately screen out the initial detection positions that need to be focused on from the first candidate detection positions, greatly improving the pertinence and effectiveness of the detection of the pressure pipeline to be measured. At the same time, the positions prone to problems of the pressure pipeline to be measured can be determined in combination with the structure of the pressure pipeline to be measured. In this way, combined with the actual data of the organic heat carrier, the interaction situation between the two can be simulated. On the one hand, considering the corrosion generated since the pipeline has been in operation, that is, evaluating the current state of the pipeline and making the first position selection. On the other hand, predicting the situation that will occur during the transmission according to the attribute situation of the substance to be transported currently, screening out the final positions from the first position selection, taking pictures of the positions to be detected in combination with the current situation and the predicted situation, reducing the workload of taking pictures, and helping to comprehensively and accurately locate the positions that need to be detected on the pressure pipeline to be measured. Further, using the ray digital imaging technology for detailed detection can complete the detection of the pressure pipeline to be measured without shutting down the machine, preventing the impact on the work of the pressure pipeline to be measured caused by shutting down the machine. At the same time, the ray digital imaging technology has the advantages of high detection sensitivity, intuitive and reliable results, etc., and can clearly present the state images of the key parts of the pipeline. Through the recognition results, the defect situations such as corrosion and cracks of the pressure pipeline to be measured can be accurately judged, providing strong support for determining the state of the pressure pipeline to be measured subsequently. In this way, through scientific prediction and screening, accurate initial detection positions are obtained, and then accurate recognition results are determined through high-quality ray digital imaging technology, and the state detection of the pressure pipeline to be measured can be completed reliably and effectively. Description of the Drawings

[0022] Figure 1 It is a flowchart of the first embodiment of the method for online inspection of an organic heat carrier pressure pipeline provided by the present application;

[0023] Figure 2 It is a flowchart of the second embodiment of the method for online inspection of an organic heat carrier pressure pipeline provided by the present application;

[0024] Figure 3 This is a hardware structure diagram of the on-line inspection equipment for the organic heat carrier pressure pipeline where the on-line inspection device for the organic heat carrier pressure pipeline of this application is located;

[0025] Figure 4 This is a schematic structural diagram of the first embodiment of the on-line inspection device for the organic heat carrier pressure pipeline provided by this application. Specific embodiments

[0026] Here, the exemplary embodiments will be described in detail, and the examples are shown in the drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application.

[0027] The terms used in this application are only for the purpose of describing specific embodiments and are not intended to limit this application. The singular forms "a", "the" and "said" used in this application are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more of the associated listed items.

[0028] It should be understood that although the terms first, second, third, etc. may be used in this application to describe various information, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of this application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "when" or "while" or "in response to a determination".

[0029] This application provides an on-line inspection method and device for an organic heat carrier pressure pipeline to accurately and reliably complete the on-line inspection of the organic heat carrier pressure pipeline.

[0030] The following specific embodiments are given to introduce the technical solutions of this application in detail.

[0031] Figure 1 This is a flowchart of the first embodiment of the on-line inspection method for the organic heat carrier pressure pipeline provided by this application. Please refer to Figure 1 , the method provided in this embodiment may include:

[0032] S101. Determine the first candidate detection position according to the structure of the pressure pipeline to be measured.

[0033] Specifically, the pressure pipeline to be tested is an organic heat carrier pressure pipeline that needs to be inspected and evaluated. The pressure pipeline to be tested is used to transport organic heat carriers to transfer heat. The pressure pipeline to be tested operates in a special environment (high temperature and high pressure environment), and the pressure pipeline to be tested has a complex structure (including elbows, brackets, welded joints). Its safety and reliability are easily affected. Therefore, regular or irregular inspections are required.

[0034] Furthermore, the organic heat carrier is a medium used for heat transfer. The organic heat carrier can effectively transfer heat energy during the industrial production process. It usually has physical and chemical properties such as high boiling point, low freezing point, and good thermal stability, enabling it to operate stably under high temperature conditions. It should be noted that compared with traditional inorganic heat carriers (such as water, steam, etc.), the organic heat carrier has the characteristics of uniform heating, accurate temperature control, being able to generate high temperature under low pressure, good heat transfer effect, energy saving, convenient transportation and operation.

[0035] Furthermore, the specific type of the organic heat carrier can be determined according to actual needs. In this embodiment, it is not limited herein. Specifically, the organic heat carrier can include heat transfer oil, biphenyl mixture, etc.

[0036] Furthermore, the structure of the pressure pipeline to be tested is the physical structure and layout of the pressure pipeline to be tested. It should be noted that the specific data type of the structure of the pressure pipeline to be tested that needs to be obtained is determined according to actual needs. In this embodiment, it is not limited herein. Specifically, the structure of the pressure pipeline to be tested can include data such as the diameter, wall thickness, length, degree of bending, weld position, and bracket setting of the pressure pipeline to be tested, which directly affect the performance and detection difficulty of the pipeline.

[0037] Furthermore, the first candidate detection position is preliminarily determined according to the structural characteristics of the pressure pipeline to be tested, and is a position that may have potential safety hazards or requires key attention. It should be noted that the first candidate detection position can include parts such as welds, elbows, tees, and bracket connections that are prone to defects such as corrosion, cracks, and deformation.

[0038] Specifically, during implementation, it can be determined according to the structure of the pressure pipeline to be tested that the connection at the welded part (i.e., the weld) is the least stable and most prone to pipeline defects. Therefore, the weld can be determined as the first candidate detection position according to the structure of the pressure pipeline to be tested.

[0039] It should be noted that all welds can be determined as the first candidate positions; or according to the detection results of each weld in historical inspections, all welds with defects can be determined as the first candidate positions; or expert experience can also be combined to score each weld, and the specified number of welds with the lowest scores can be determined as the first candidate positions.

[0040] A specific embodiment is given below to introduce in detail the process of determining the first candidate detection position:

[0041] (1) Determine the cumulative working time corresponding to the pressure pipeline to be measured based on the working condition information.

[0042] Specifically, the specific data types included in the working condition information of the pressure pipeline to be measured are determined according to actual needs. In this embodiment, no limitation is imposed on this. In specific implementation, the working condition information of the pressure pipeline to be measured may include a set of information such as the environmental conditions, operating parameters, and load status during the operation of the pressure pipeline to be measured. It can be understood that the working condition information is crucial for evaluating the safety performance of the pipeline and predicting its lifespan.

[0043] Specifically, the cumulative working time refers to the total operating time experienced by the pressure pipeline to be measured from the start of operation to the current moment. The cumulative working time is an important indicator for measuring the degree of use of the pipeline and evaluating the degree of aging.

[0044] In specific implementation, in this step, the data corresponding to the working time in the working condition information is extracted to determine the cumulative working time experienced by the pressure pipeline to be measured from the start of operation to the current moment.

[0045] (2) Use the cumulative working time as supervised data to determine the easily fractured regions in the structure of the pressure pipeline to be measured.

[0046] Specifically, the easily fractured regions refer to the parts in the pressure pipeline to be measured that are prone to fracture or failure due to factors such as material aging, stress concentration, and corrosion. The easily fractured regions are the key objects of concern in the safety performance evaluation of the pipeline.

[0047] It can be understood that as the working time of the pressure pipeline continues, most regions of the pressure pipeline can still be used normally although they are affected by aging, wear, etc., while a small part of the regions of the pressure pipeline will have problems such as leakage and fracture. This part of the region is the easily fractured region. The problem of the easily fractured region is being easily fractured. For example, in one embodiment, the problems that occur in the pressure pipeline after 3 years of operation can be statistically sorted out as fracture problems, and the regions where the fracture problems occur can be determined as the easily fractured regions. For another example, in another embodiment, the problems that occur in the pressure pipeline after 8 years of operation can be statistically sorted out as fracture problems, and the regions where the fracture problems occur can be determined as the easily fractured regions.

[0048] In specific implementation, based on the structure of the pressure pipeline to be measured, it can be determined that the regions that have been worn under the influence of the cumulative working time are determined as the regions most prone to problems and are determined as the easily fractured regions; it can also be determined based on the structure of the pressure pipeline to be measured that the parts that are prone to leakage are determined as the easily fractured regions.

[0049] (3)Determine the easily breakable area as the first candidate detection location.

[0050] In specific implementation, determine the position corresponding to the easily breakable area and the pressure pipeline to be measured as the first candidate detection location.

[0051] The on-line inspection method for the pressure pipeline of the organic heat carrier provided by this application can accurately obtain the data that affects the pressure pipeline to be measured through the cumulative working time and the structure of the pressure pipeline to be measured. Through analysis, the easily breakable area corresponding to the pressure pipeline to be measured can be accurately obtained. Further, by pre-determining the easily breakable area as the first candidate detection location, the detection work can be made more concentrated and targeted, potential defects or problems can be discovered and processed in time, thus avoiding accidents and enhancing the safety of the pressure pipeline to be measured. Further, by combining the cumulative working time and the structure of the pressure pipeline to be measured, the current usage status of the pressure pipeline to be measured can be judged, and the position most likely to have defects can be accurately determined as the easily breakable area according to the current situation of the pressure pipeline to be measured. In this way, by accurately determining the first candidate detection location, it can provide guarantee for subsequent detection.

[0052] S102. Determine the real-time operation information based on the attribute information of the organic heat carrier transported by the pressure pipeline to be measured and the working condition information of the pressure pipeline to be measured.

[0053] Specifically, the attribute information of the organic heat carrier refers to the data or parameters describing the characteristics or state of the organic heat carrier. The attribute galaxy of the organic heat carrier directly affects the state of the steel of the pressure pipeline.

[0054] Further, when the parameters of the organic heat carrier exceed the standard, the organic heat carrier is more likely to form colloid, resulting in overheating in the pressure pipeline and increasing the probability of cracks in the pressure pipeline. For example, in one embodiment, when parameters such as the kinematic viscosity, moisture content, and residue carbon value of the organic heat carrier exceed the standard, the probability of cracks in the pressure pipeline increases.

[0055] It should be noted that the specific data types included in the attribute information are determined according to actual needs. In this embodiment, no limitation is imposed on this. In specific implementation, the attribute information of the organic heat carrier may include the physical properties of the organic heat carrier, the chemical properties of the organic heat carrier, and the operating parameters of the organic heat carrier, etc. For example, in one embodiment, the attribute information of the organic heat carrier includes the temperature, pressure, viscosity, composition, acid value, flow rate, and flow of the organic heat carrier.

[0056] Further, the working condition information of the pressure pipeline to be measured refers to the set of information describing the environmental conditions, operating parameters, load status, etc. during the operation of the pressure pipeline. These information are crucial for evaluating the safety performance of the pipeline and predicting its life.

[0057] Further, the real-time operation information describes the operation status, performance parameters, etc. of the pressure pipeline to be measured at the current moment. The real-time operation information is directly related to the status of the pressure pipeline to be measured, and the status of the pressure pipeline to be measured can be directly determined through the real-time operation information.

[0058] In specific implementation, the attribute information of the organic heat carrier can be determined by querying the usage record or label corresponding to the pressure pipeline to be measured, and then the working condition information can be determined according to the working data set for the pressure pipeline to be measured, and further the corresponding real-time operation information can be determined.

[0059] Further, the real-time operation information can characterize the corrosion condition of the pressure pipeline. In specific implementation, the internal corrosion condition of the pressure pipeline is determined through the attribute information of the organic heat carrier, and the external corrosion condition of the pressure pipeline is determined in combination with the working condition information of the pressure pipeline, and then the corrosion condition of the pressure pipeline is determined by combining these two kinds of data, which is the real-time operation information.

[0060] Further, according to the corrosion condition in the real-time operation information, supplementary candidate detection positions other than the first candidate detection position in the pressure pipeline to be measured are determined. The leakage coefficient of the supplementary candidate detection position is greater than a preset threshold, indicating that the position is prone to fracture. The supplementary candidate detection position and the first candidate detection position are comprehensively used as the first candidate detection position for screening in step S103.

[0061] S103: Input the real-time operation information into the pressure pipeline structural safety performance decay model, obtain the model prediction result based on the attribute information, and screen out the initial detection position from the first candidate detection positions according to the model prediction result. The pressure pipeline structural safety performance decay model is used to predict the change law of the corrosion condition of each position of the pressure pipeline to be measured over time.

[0062] Specifically, the model prediction result is a set of prediction data obtained by the pressure pipeline structural safety performance decay model processing the real-time operation information, and the model prediction result is used to describe the corrosion condition of each current position of the pressure pipeline to be measured.

[0063] In specific implementation, the corrosion condition of the pressure pipeline is determined through the model prediction result, and the position with the most serious corrosion condition is determined as the initial detection position. It can be understood that the position corresponding to the model prediction result among the first candidate detection positions is the position most prone to defects in the pressure pipeline to be measured, so it is used as the initial detection position for detection. In specific implementation, the position corresponding to the model prediction result exceeding the preset corrosion threshold can be determined as the initial detection position.

[0064] The following gives a specific embodiment to introduce the acquisition process of the prediction result in detail:

[0065] (1)Determine the pressure pipeline corrosion change coefficient according to the corrosion attribute of the organic heat carrier and the pressure pipeline to be measured.

[0066] Specifically, during the use of the organic heat carrier, due to its own chemical properties and physical state, it may corrode the contacted materials (such as the inner wall of the pressure pipeline). This corrosion effect is the result of the combined action of various factors such as the temperature, pressure, flow rate, and chemical composition of the organic heat carrier. In other words, the corrosion attribute of the organic heat carrier is a set of characteristics that describe its corrosion ability or corrosion tendency.

[0067] Furthermore, the pressure pipeline corrosion change coefficient is an index used to quantitatively describe the change in the corrosion rate or corrosion degree of the pressure pipeline under specific conditions.

[0068] In specific implementation, according to the difference between the corrosion attribute and the corresponding standard corrosion-related values in the pressure pipeline structure safety performance decay model, calculate the pressure pipeline corrosion change coefficient of the current organic heat carrier for the pressure pipeline.

[0069] (2)Determine the pressure pipeline temperature change coefficient based on the conveying temperature of the organic heat carrier.

[0070] Specifically, the conveying temperature of the organic heat carrier refers to the temperature reached when the organic heat carrier is transmitted in the pressure pipeline. It should be noted that the conveying temperature of the organic heat carrier is usually relatively high. In specific implementation, the conveying temperature range of the organic heat carrier can be between 200 - 400 °C.

[0071] Furthermore, the pressure pipeline temperature change coefficient is used to describe the change in parameters such as the material properties, structural strength, or corrosion rate of the pressure pipeline at different temperatures.

[0072] In specific implementation, utilize the temperature information when the organic heat carrier is transmitted in the pressure pipeline, and according to the difference between the conveying temperature and the corresponding standard temperature-related values in the pressure pipeline structure safety performance decay model, calculate the pressure pipeline temperature change coefficient of the current organic heat carrier for the pressure pipeline.

[0073] (3)Adjust the pressure pipeline structure safety performance decay model according to the corrosion change coefficient and the temperature change coefficient to obtain the target decay model of the pressure pipeline to be measured.

[0074] Specifically, the pressure pipeline structure safety performance decay model is a standard model before adjustment. In other words, the pressure pipeline structure safety performance decay model is trained based on the data of all pressure pipelines. The parameters in the pressure pipeline structure safety performance decay model can be the mean values of all pipelines. The pressure pipeline structure safety performance decay model includes the corresponding relationship between the working time and the corrosion situation of all pressure pipelines when transporting all organic heat carriers.

[0075] In specific implementation, the corrosion change coefficient and the temperature change coefficient are input into the structural safety performance decay model of the pressure pipeline to obtain the target decay model corresponding to the pressure pipeline to be measured.

[0076] It can be understood that by determining the corrosion change coefficient of the pressure pipeline based on the attribute information of the actually used organic heat carrier and the temperature change coefficient of the pressure pipeline based on the conveying temperature during actual operation, the target decay model can be specific to the current situation, and accurate prediction results can be obtained through such a customized target decay model.

[0077] It should be noted that the target decay model is a model obtained by comprehensively considering influencing factors such as its corrosion change coefficient and temperature change coefficient for the pressure pipeline to be measured, and adjusted and optimized. In other words, the target decay model can more accurately reflect the state decay law of the pressure pipeline to be measured.

[0078] (4) Obtain the model prediction result based on the target decay model and the real-time operation information.

[0079] In specific implementation, the real-time operation information is input into the target decay model, and the corresponding model prediction result is obtained through the processing of the target decay model.

[0080] It should be noted that after the real-time operation information is input into the target decay model, the target decay model can calculate the area with the most serious corrosion of the current pressure pipeline for the pressure pipeline that has been operated. In other words, since the pressure pipeline is a pipeline that has undergone long-term operation, the simulation starting state of the target decay model is determined according to the real-time operation information.

[0081] It should be noted that the model prediction result is the corrosion situation of the pressure pipeline analyzed specifically for the pressure pipeline to be measured as the working time accumulates.

[0082] The online inspection method for organic heat carrier pressure pipelines provided by this application can accurately determine the corrosion change coefficient of the pressure pipeline to be measured by comprehensively considering the corrosion properties of the organic heat carrier and the material characteristics, structural features, and usage environment of the pressure pipeline to be measured. Further, based on the conveying temperature of the organic heat carrier, using theories and methods such as thermal stress analysis and material property changes, the temperature change coefficient of the pressure pipeline to be measured is scientifically set, and the characteristics of the pressure pipeline to be measured in a high-temperature operating environment can be accurately obtained. In this way, by combining the corrosion change coefficient and the temperature change coefficient, the original structural safety performance decay model of the pressure pipeline is adjusted and optimized, and various influencing factors in the actual operation of the pressure pipeline to be measured can be fully considered, making the prediction result closer to the actual operation condition and helping to improve the reliability of subsequent detection.

[0083] The following gives a specific embodiment to introduce in detail the process of obtaining the corrosion state of the pressure pipeline to be measured:

[0084] (1) Estimate the conveying time of the organic heat carrier based on the real-time operation information.

[0085] Specifically, the conveying time is the time required for the pressure pipeline to be measured from a certain specific moment until the organic heat carrier completes its conveying task in the pressure pipeline.

[0086] In specific implementation, according to the total amount of the organic heat carrier to be transported and the conveying efficiency of the pressure pipeline to be measured for the organic heat carrier, based on the ratio of the total amount of the organic heat carrier to the conveying efficiency of the organic heat carrier, determine the time required to convey all the organic heat carriers, and determine it as the conveying time.

[0087] (2) Input the real-time operation information into the target decay model to predict the corrosion state of the pressure pipeline to be measured from the current moment until the end of the conveying time.

[0088] In this step, the target decay model is constrained by the conveying time. Through calculation and simulation, the target decay model predicts the corrosion state of the pressure pipeline to be measured during the period until the end of the conveying time. In specific implementation, the time when the pressure pipeline starts to convey the organic heat carrier can be determined as the current moment, and the end moment of the conveying time is obtained by adding the current moment and the conveying time. Through the target decay model, predict the corrosion state of the pressure pipeline to be measured after experiencing the conveying time; it is also possible to detect the pressure pipeline to be measured that is working to obtain the real-time operation information, determine the real-time corrosion situation of the pressure pipeline to be measured, and add the remaining conveying time that needs to work to predict the corrosion state of the pressure pipeline to be measured after the conveying time.

[0089] The online inspection method for the organic heat carrier pressure pipeline provided by this application can predict the corrosion state of the pressure pipeline to be measured from the current moment until the end of the conveying time in real time, and can predict the pressure pipeline to be measured specifically through the dynamic prediction ability of the model.

[0090] S104. Obtain the state image of the initial detection position through the ray digital imaging technology, identify the state image based on the fouling detection standard, and obtain the identification result of the initial detection position.

[0091] Specifically, the ray digital imaging technology (Digital Radiography, abbreviated as DR) is a non-destructive testing technology that uses X-rays or γ-rays to penetrate the object to be inspected, and the penetrating rays are received by a digital detector and converted into a digital image, so as to realize the detection of the internal structure of the object to be inspected.

[0092] In specific implementation, the initial detection position is detected by means of radiographic digital imaging technology to obtain a corresponding status image, and the information of the initial detection position can be clearly shown through the status image.

[0093] It should be noted that the status image obtained by means of radiographic digital imaging technology can be a negative film directly formed in a digital imaging plate.

[0094] Furthermore, the fouling detection standard refers to the standard or specification for evaluating and judging whether there are defects, the type, size, position, etc. of the defects on the status image. The fouling detection standard is formulated based on industry standards, technical specifications and experience summary.

[0095] The following gives a specific embodiment to introduce in detail the process of obtaining the optimized detection position:

[0096] (1) Determine candidate position points according to the maintenance status of the pressure pipeline to be measured.

[0097] Specifically, the maintenance status of the pressure pipeline to be measured is recorded during each maintenance. In specific implementation, the maintenance report of the pressure pipeline to be measured can be queried to determine the maintenance status of the pressure pipeline to be measured.

[0098] Furthermore, the positions where the pressure pipeline to be measured has been repaired in the maintenance status are determined as candidate position points.

[0099] (2) Screen alternative position points from the candidate position points according to the organic heat carrier attribute information and real-time detection information.

[0100] Specifically, the attribute information reflects the influence of the organic heat carrier on the pressure pipeline to be measured. Combining the real-time detection information, the positions where each candidate position point is most likely to have defects are determined and taken as alternative position points.

[0101] (3) Take the initial detection position and the alternative position points as the optimized detection positions.

[0102] Specifically, both the initial detection position and the alternative position points are set as the optimized detection positions.

[0103] (4) Obtain the status image of the optimized detection position by means of the radiographic digital imaging technology, identify the status image based on the fouling detection standard, and obtain the identification result of the optimized detection position.

[0104] Specifically, the optimized detection position is detected to obtain a corresponding status image, and then the identification result is obtained in combination with the fouling detection standard.

[0105] The on-line inspection method for organic heat carrier pressure pipelines provided by this application preliminarily determines candidate location points through the maintenance status of the pressure pipeline to be tested. Since the candidate location points are areas in the pressure pipeline to be tested where defects may exist or areas that require key attention. Further, by combining the attribute information and real-time detection information of the organic heat carrier, more accurate alternative location points are screened out from the candidate location points, ensuring the accuracy and pertinence of the alternative location points and improving the detection efficiency. Further, by using the ray digital imaging technology to detect the optimized detection location, high-definition status images can be quickly obtained, which can clearly show the internal structure, welds and possible defects of the pipeline, improving the accuracy and reliability of the detection.

[0106] S105. Determine the status of the pressure pipeline to be tested based on the recognition result.

[0107] Specifically, determine the overall operation condition of the pressure pipeline to be tested at the detection moment according to the recognition result. It should be noted that the specific data types included in the status of the pressure pipeline to be tested are determined according to actual needs. In this embodiment, no limitation is imposed on this. When specifically implemented, the pressure pipeline to be tested may include whether there are defects in the pressure pipeline to be tested, the type and severity of the defects, etc.

[0108] The following gives a specific embodiment to introduce in detail the process of determining the status of the pressure pipeline to be tested:

[0109] (1) Obtain the pollution detection standard corresponding to the pressure pipeline to be tested; the pollution detection standard characterizes the association relationship between different recognition results and multiple safety levels.

[0110] Specifically, the pollution detection standard refers to the standardized basis for evaluating the internal status or defect severity of organic heat carrier pressure pipelines. The pollution detection standard stipulates the association relationship between different defect types, sizes, positions and other factors and the pipeline safety level, providing a clear standard for inspectors to judge the pipeline status.

[0111] When specifically implemented, KGB / T19624—2019 "Safety Assessment of In-Service Pressure Vessels with Defects" can be used as the pollution detection standard.

[0112] (2) Transform the recognition result based on the pollution detection standard to obtain the current safety level, and determine the status of the pressure pipeline to be tested based on the safety level.

[0113] Specifically, input the recognition result into the pollution detection standard to obtain the safety level corresponding to the recognition result, and determine the status of the pressure pipeline to be tested according to the status corresponding to the safety level recorded in the pollution detection standard.

[0114] The on-line inspection method for organic heat carrier pressure pipelines provided by this application provides a clear and standardized basis for the evaluation of identification results by obtaining and applying fouling detection standards. It helps to reduce subjectivity and uncertainty in the evaluation process and improve the accuracy and reliability of evaluation results. Further, converting the identification results into safety levels can intuitively reflect the safety performance status of the pressure pipeline to be tested at a specific detection moment, which helps to quickly understand the safety status of the pipeline. In this way, accurate detection of the pressure pipeline to be tested can be completed.

[0115] The following gives a specific embodiment to introduce in detail the steps after the detection of the pressure pipeline to be tested:

[0116] (1) When the safety level exceeds the preset level, re-inspect the pressure pipeline to be tested to obtain a re-inspection result; the re-inspection is completed based on phased array ultrasonic testing.

[0117] Specifically, the specific content of the preset level is determined according to actual needs. In this embodiment, it is not limited herein. In specific implementation, the safety level of level two can be determined as the preset level.

[0118] Further, when the safety level exceeds the preset level, problems may occur in the pressure pipeline to be tested. Therefore, it is necessary to stop the machine and conduct further re-inspection to more accurately determine the status of the pressure pipeline to be tested.

[0119] In specific implementation, phased array ultrasonic testing technology (abbreviated as PAUT) can be used to re-inspect the pressure pipeline to be tested.

[0120] (2) Correct the identification result based on the re-inspection result and re-determine the status of the pressure pipeline to be tested.

[0121] In specific implementation, the re-inspection result can be directly used as the new identification result, or the re-inspection result can be fused with the identification result to obtain a new identification result.

[0122] Further, after the correction of the identification result, determine the status of the pressure pipeline to be tested according to the corrected identification result.

[0123] Further, when it is determined that there are problems with the pressure pipeline to be tested, repair or polish the pressure pipeline according to the specifications of the pressure pipeline. In specific implementation, when there are problems with the weld of the pressure pipeline, welding can be re-performed and it can be polished to a certain width and a metallic luster appears.

[0124] The on-line inspection method for organic heat carrier pressure pipelines provided by this application can further confirm the accuracy of the preliminary inspection results through the re-inspection process and the use of phased array ultrasonic testing, reducing the possibility of misjudgment and missed inspection. Further, based on the re-inspection results, the status of the pressure pipeline to be tested is re-determined, which can provide more accurate and comprehensive information for the formulation of maintenance decisions. In this way, the accuracy of the inspection of organic heat carrier pressure pipelines is optimized and improved through re-inspection.

[0125] The on-line inspection method for organic heat carrier pressure pipelines provided by this application realizes on-line inspection without shutting down the pipeline, compared with the traditional shutdown inspection method. This greatly shortens the inspection cycle, not only reducing the shutdown losses, but also improving the inspection accuracy rate, providing a strong guarantee for the continuous operation of the enterprise. Further, based on a large amount of inspection data and theoretical analysis, a mathematical model for the decay of the safety performance of organic heat carrier pressure pipelines is established. This model can accurately reflect the state change of the pipeline over time under different working conditions, providing a scientific basis for the determination of the inspection location. In this way, through the ray digital imaging technology for inspection, the status of the pressure pipeline to be tested can be accurately and reliably obtained.

[0126] Figure 2 It is a flowchart of the second embodiment of the on-line inspection method for organic heat carrier pressure pipelines provided by this application. Please refer to Figure 2 , the construction method of the structural safety performance decay model includes:

[0127] S201. Select the working parameters of multiple pressure pipelines based on the research object database; the working parameters at least include the temperature dimension and pressure dimension corresponding to multiple pressure pipelines.

[0128] Specifically, the research object database is a database storing information related to organic heat carrier pressure pipelines, and the data in the research object database includes but is not limited to the basic information, operation data, inspection data, etc. of the pipelines.

[0129] In specific implementation, all data generated during all processes of the use and inspection of the pressure pipeline can be stored in the research object database.

[0130] Further, the working parameters refer to the data describing the performance indicators of the pressure pipeline during operation. For organic heat carrier pressure pipelines, they usually include temperature, pressure, etc. In specific implementation, the data of the temperature dimension and pressure dimension corresponding to different temperatures and pressures at which the pressure pipeline operates can be obtained from the research object database.

[0131] S202. Obtain the quality data of each pressure pipeline at different times in the historical working data, and generate training samples in combination with the working parameters.

[0132] Specifically, historical working data refers to various data records generated during the normal operation of a pressure pipeline over a period of time in the past. It should be noted that historical working data can be stored in a database or a record file and retrieved when needed for analysis, monitoring, and prediction.

[0133] Furthermore, quality data is data that reflects the quality characteristics of a pressure pipeline during its operation, such as the material properties, structural integrity, and corrosion resistance of the pressure pipeline. It can be understood that based on the quality data, the state of the pressure pipeline at different times can be determined.

[0134] In specific implementation, in this step, the quality data is combined with the corresponding working parameters to form a complete set of training samples. The training samples contain the correlation relationships between different working parameters and quality data.

[0135] It should be noted that when obtaining quality data and working parameters, data can be obtained from multiple identical devices, and thus the obtained training samples can be more targeted for this type of device.

[0136] S203. Train a baseline model based on the training samples to obtain the structural safety performance decay model; the trained structural safety performance decay model characterizes the correlation relationships among the quality, temperature, and pressure of the pressure pipeline over time.

[0137] Specifically, the baseline model is a simple model that already has certain effects but can still be further optimized. In specific implementation, the type of the baseline model can be determined according to actual needs, and this is not limited in this embodiment.

[0138] In specific implementation, by training the baseline model based on the training samples, a structural safety performance decay model that can characterize the state of the pressure pipeline changing with working time is obtained. It can be understood that since the training samples contain the quality data of the pressure pipeline changing with time under different temperatures and different pressures, the structural safety performance decay model can jointly predict the state of the pressure pipeline based on the three data of the working temperature, working pressure, and working time of the pressure pipeline.

[0139] Optionally, after obtaining the structural safety performance decay model, the model update process can include:

[0140] (1) Generate update samples by combining the recognition result, the attribute information, and the working condition information. The update samples characterize the real-time state of the pressure pipeline at the current moment.

[0141] In specific implementation, after each detection of the pressure pipeline to be measured is completed, the recognition result, the working condition information corresponding to the pressure pipeline to be measured, and the attribute information of the organic heat carrier are combined to obtain update samples that are mutually correlated among the three.

[0142] It should be noted that the attribute information of the organic heat carrier characterizes the situation of the internally corroded pressure pipeline, and the working condition information characterizes the situation of the externally corroded pressure pipeline.

[0143] It can be understood that since the updated sample is obtained through real-time detection, it can characterize the state of the pressure pipeline to be measured at the current moment.

[0144] (2) Update the structural safety performance decay model based on the updated sample.

[0145] In specific implementation, the updated sample is input into the structural safety performance decay model to complete the update of the structural safety performance decay model.

[0146] The online inspection method for organic heat carrier pressure pipelines without shutdown provided by this application can ensure that the model always makes predictions based on the latest data and working condition information by generating updated samples in real time and updating the model, thereby effectively avoiding prediction errors caused by outdated data or changes in working conditions. At the same time, the updated model can more accurately capture the change trend of the safety performance of the pressure pipeline, providing more reliable support for safety evaluation and early warning. Further, the real-time update of the model enables the model to continuously adapt to new working conditions and changes in pipeline states, improving the adaptability and robustness of the model. In the face of a complex and changeable industrial environment, the updated model can respond and adjust more quickly to ensure the effectiveness and reliability of the model.

[0147] The online inspection method for organic heat carrier pressure pipelines without shutdown provided by this application determines important information such as the performance parameters, service life, and working occasions of the pressure pipeline through the research object database, providing a rich data source for model training. Further, the training sample contains at least information in the temperature dimension and pressure dimension, which are important indicators reflecting the operating state of the pressure pipeline and are crucial for the model to understand the pipeline performance decay process. Further, reflecting the pipeline state through quality tools is crucial for the model to understand the pipeline performance decay process. In this way, by using rich training samples, the model can learn the performance change rules of the pressure pipeline under different working conditions, thereby more accurately predicting the safety performance decay trend of the pipeline and providing strong support for subsequent inspections.

[0148] Corresponding to the foregoing embodiment of an online inspection method for organic heat carrier pressure pipelines without shutdown, this application also provides an embodiment of an online inspection device for organic heat carrier pressure pipelines without shutdown.

[0149] An embodiment of an on-line inspection device for an organic heat carrier pressure pipeline without shutting down the machine according to the present application can be applied to an on-line inspection device for an organic heat carrier pressure pipeline without shutting down the machine. The device embodiment can be implemented by software, or by hardware or a combination of software and hardware. Taking software implementation as an example, as a logically meaningful device, it is formed by the processor of the on-line inspection device for the organic heat carrier pressure pipeline where it is located reading the corresponding computer program instructions in the non-volatile memory into the memory and running them. At the hardware level, as Figure 3 shown, it is a hardware structure diagram of the on-line inspection device for the organic heat carrier pressure pipeline where the on-line inspection device for the organic heat carrier pressure pipeline according to the present application is located. In addition to Figure 3 the processor, memory, network interface, and non-volatile memory shown, the on-line inspection device for the organic heat carrier pressure pipeline where the device in the embodiment is located usually includes other hardware according to the actual functions of the on-line inspection device for the organic heat carrier pressure pipeline, which will not be elaborated here.

[0150] Figure 4 It is a schematic structural diagram of Embodiment 1 of the on-line inspection device for the organic heat carrier pressure pipeline provided by the present application. Please refer to Figure 4 , the device provided in this embodiment includes a determination module 410, a screening module 420, and an identification module 430; where

[0151] The determination module 410 is used to determine the first candidate detection position according to the structure of the pressure pipeline to be measured;

[0152] The determination module 410 is further used to determine the real-time operation information based on the attribute information of the organic heat carrier transported by the pressure pipeline to be measured and the working condition information of the pressure pipeline to be measured;

[0153] The screening module 420 is used to input the real-time operation information into the pressure pipeline structure safety performance decay model, obtain the model prediction result based on the attribute information, and screen out the initial detection position from the first candidate detection positions according to the model prediction result. The pressure pipeline structure safety performance decay model is used to predict the change law of the corrosion situation at each position of the pressure pipeline to be measured over time;

[0154] The identification module 430 is used to obtain the state image of the initial detection position through ray digital imaging technology, identify the state image based on the fouling detection standard, and obtain the identification result of the initial detection position;

[0155] The determination module 410 is further used to determine the state of the pressure pipeline to be measured based on the identification result.

[0156] The device in this embodiment can be used to execute Figure 1The steps of the method embodiments shown are similar in specific implementation principles and implementation processes, and will not be elaborated here.

[0157] Optionally, the screening module 420 is specifically configured to determine a pressure pipeline corrosion change coefficient according to the corrosion attribute of the organic heat carrier and the pressure pipeline to be measured;

[0158] The screening module 420 is further specifically configured to determine a pressure pipeline temperature change coefficient based on the conveying temperature of the organic heat carrier;

[0159] The screening module 420 is further specifically configured to adjust the pressure pipeline structure safety performance decay model according to the corrosion change coefficient and the temperature change coefficient to obtain a target decay model of the pressure pipeline to be measured;

[0160] The screening module 420 is further specifically configured to obtain a model prediction result based on the target decay model and the real-time operation information.

[0161] Optionally, the screening module 420 is further specifically configured to estimate the conveying time of the organic heat carrier based on the real-time operation information;

[0162] The screening module 420 is further specifically configured to input the real-time operation information into the target decay model to predict the corrosion state of the pressure pipeline to be measured from the current moment to the end moment of the conveying time.

[0163] Optionally, the identification module 430 is further configured to determine candidate location points according to the maintenance status of the pressure pipeline to be measured;

[0164] The identification module 430 is further specifically configured to screen alternative location points from the candidate location points according to the organic heat carrier attribute information and the real-time detection information;

[0165] The identification module 430 is further specifically configured to use the initial detection location and the alternative location points as optimized detection locations;

[0166] The identification module 430 is further specifically configured to obtain a status image of the optimized detection location through the ray digital imaging technology, identify the status image based on the dirt damage detection standard, and obtain the identification result of the optimized detection location.

[0167] Optionally, the determination module 410 is specifically configured to determine the cumulative working time corresponding to the pressure pipeline to be measured based on the working condition information;

[0168] The determination module 410 is further specifically configured to use the cumulative working time as supervision data to determine the easily fractured area in the structure of the pressure pipeline to be measured;

[0169] The determining module 410 is further specifically configured to determine the brittle region as the first candidate detection position.

[0170] Optionally, the screening module 420 is further specifically configured to select operating parameters of multiple pressure pipelines based on the research object database; the operating parameters at least include temperature dimensions and pressure dimensions corresponding to the multiple pressure pipelines;

[0171] The screening module 420 is further specifically configured to obtain quality data of each of the pressure pipelines in the historical operating data at different times, and generate training samples in combination with the operating parameters;

[0172] The screening module 420 is further specifically configured to train a benchmark model based on the training samples to obtain the structural safety performance decay model; the trained structural safety performance decay model characterizes the correlation relationship among the quality, temperature, and pressure of the pressure pipeline over time.

[0173] Optionally, the screening module 420 is further specifically configured to generate an updated sample in combination with the recognition result, the attribute information, and the working condition information, and the updated sample characterizes the real-time state of the pressure pipeline at the current moment;

[0174] The screening module 420 is further specifically configured to update the structural safety performance decay model based on the updated sample.

[0175] Optionally, the determining module 410 is further specifically configured to obtain the fouling detection standard corresponding to the pressure pipeline to be tested; the fouling detection standard characterizes the correlation relationship between different recognition results and multiple safety levels;

[0176] The determining module 410 is further specifically configured to convert the recognition result based on the fouling detection standard to obtain the current safety level, and determine the state of the pressure pipeline to be tested based on the safety level.

[0177] Optionally, the determining module 410 is further specifically configured to re-inspect the pressure pipeline to be tested when the safety level exceeds the preset level to obtain a re-inspection result; the re-inspection is completed based on phased array ultrasonic testing;

[0178] The determining module 410 is further specifically configured to correct the recognition result based on the re-inspection result and re-determine the state of the pressure pipeline to be tested.

[0179] Please continue to refer to Figure 3, this application also provides an on-line inspection device for organic heat carrier pressure pipelines without shutting down the machine, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, it implements the steps of any of the methods provided in the first aspect of this application.

[0180] This application also provides a computer-readable storage medium with a computer program stored thereon. When the program is executed by a processor, it implements the steps of any of the methods provided in this application.

[0181] For the specific implementation process of the functions and roles of each unit in the above device, please refer to the implementation process of the corresponding steps in the above method, which will not be elaborated here.

[0182] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to the partial descriptions of the method embodiments. The device embodiments described above are only illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this application. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0183] The above are only the preferred embodiments of this application and are not intended to limit this application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of this application shall be included in the scope of protection of this application.

Claims

1. An on-line inspection method for an organic heat carrier pressure pipeline without shutting down the machine, characterized in that The method includes: Determining a first candidate detection position according to the structure of the pressure pipeline to be measured; Determining real-time operation information based on the attribute information of the organic heat carrier conveyed by the pressure pipeline to be measured and the working condition information of the pressure pipeline to be measured; Inputting the real-time operation information into the pressure pipeline structure safety performance decay model, obtaining a model prediction result based on the attribute information, and screening out an initial detection position from the first candidate detection positions according to the model prediction result. The pressure pipeline structure safety performance decay model is used to predict the change law of the corrosion condition of each position of the pressure pipeline to be measured over time; The construction method of the structure safety performance decay model includes: Selecting the working parameters of multiple pressure pipelines based on the research object database; the working parameters at least include the temperature dimension and pressure dimension corresponding to multiple pressure pipelines; Obtaining the quality data of each pressure pipeline in the historical working data at different times, and generating a training sample in combination with the working parameters; Training a benchmark model based on the training sample to obtain the structure safety performance decay model; the trained structure safety performance decay model represents the correlation relationship of the three dimensions of the quality, temperature, and pressure of the pressure pipeline changing over time; Obtaining a state image of the initial detection position through ray digital imaging technology, identifying the state image based on the fouling detection standard, and obtaining an identification result of the initial detection position; Determining the state of the pressure pipeline to be measured based on the identification result.

2. The method according to claim 1, characterized in that, The step of inputting the real-time operation information into the pressure pipeline structure safety performance decay model and obtaining a model prediction result based on the attribute information includes: Determining a pressure pipeline corrosion change coefficient according to the corrosion attribute of the organic heat carrier and the pressure pipeline to be measured; Determining a pressure pipeline temperature change coefficient based on the conveying temperature of the organic heat carrier; Adjusting the pressure pipeline structure safety performance decay model according to the corrosion change coefficient and the temperature change coefficient to obtain a target decay model of the pressure pipeline to be measured; Obtaining a model prediction result based on the target decay model and the real-time operation information.

3. The method according to claim 2, wherein The step of obtaining a model prediction result based on the target decay model and the real-time operation information includes: Estimating the conveying time of the organic heat carrier based on the real-time operation information; Inputting the real-time operation information into the target decay model to predict the corrosion state of the pressure pipeline to be measured from the current moment to the end of the conveying time.

4. The method according to claim 1, wherein After screening out the initial detection position from the first candidate detection positions according to the model prediction result, the method further includes: Determining candidate position points according to the maintenance state of the pressure pipeline to be measured; Screening alternative position points from the candidate position points according to the organic heat carrier attribute information and real-time detection information; Taking the initial detection position and the alternative position points as optimized detection positions; Obtaining a state image of the optimized detection position through the ray digital imaging technology, identifying the state image based on the fouling detection standard, and obtaining an identification result of the optimized detection position.

5. The method according to claim 1, characterized in that The step of determining a first candidate detection position according to the structure of the pressure pipeline to be measured includes: Determine the cumulative working time corresponding to the pressure pipeline to be measured based on the working condition information; Use the cumulative working time as supervision data to determine the easily fractured areas in the structure of the pressure pipeline to be measured; Determine the easily fractured areas as the first candidate detection positions.

6. The method according to claim 1, wherein After obtaining the structural safety performance decay model, the method further includes: Generate updated samples by combining the recognition result, the attribute information, and the working condition information, where the updated samples represent the real-time state of the pressure pipeline at the current moment; Update the structural safety performance decay model based on the updated samples.

7. The method according to claim 1, wherein The determining the state of the pressure pipeline to be measured based on the recognition result includes: Obtain the fouling detection standard corresponding to the pressure pipeline to be measured; the fouling detection standard characterizes the association relationship between different recognition results and multiple safety levels; Convert the recognition result based on the fouling detection standard to obtain the current safety level, and determine the state of the pressure pipeline to be measured based on the safety level.

8. The method according to claim 7, wherein After determining the state of the pressure pipeline to be measured based on the safety level, the method further includes: When the safety level exceeds the preset level, conduct a re-inspection on the pressure pipeline to be measured to obtain a re-inspection result; the re-inspection is completed based on phased array ultrasonic testing; Correct the recognition result based on the re-inspection result and re-determine the state of the pressure pipeline to be measured.

9. An on-line inspection device for organic heat carrier pressure pipelines without shutting down the machine, characterized in that, The device includes a determination module, a screening module, and an identification module; wherein, The determination module is used to determine the first candidate detection positions according to the structure of the pressure pipeline to be measured; The determination module is further used to determine the real-time operation information based on the attribute information of the organic heat carrier transported by the pressure pipeline to be measured and the working condition information of the pressure pipeline to be measured; The screening module is used to input the real-time operation information into the pressure pipeline structural safety performance decay model, obtain the model prediction result based on the attribute information, and screen out the initial detection positions from the first candidate detection positions according to the model prediction result. The pressure pipeline structural safety performance decay model is used to predict the variation law of the corrosion condition of each position of the pressure pipeline to be measured over time; The method for constructing the structural safety performance decay model includes: Select the working parameters of multiple pressure pipelines based on the research object database; the working parameters at least include the temperature dimension and the pressure dimension corresponding to multiple pressure pipelines; Obtain the quality data of each pressure pipeline at different times in the historical working data, and generate training samples by combining the working parameters; Train a benchmark model based on the training samples to obtain the structural safety performance decay model; the trained structural safety performance decay model characterizes the association relationship between the quality, temperature, and pressure of the pressure pipeline over time; The identification module is used to obtain the state image of the initial detection position through ray digital imaging technology, identify the state image based on the fouling detection standard, and obtain the recognition result of the initial detection position; The determination module is further used to determine the state of the pressure pipeline to be measured based on the recognition result.

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