An intelligent auxiliary system and method for pressure vessel inspection

Abstract

The present invention discloses an intelligent auxiliary system and method for pressure vessel inspection, which relates to the technical field of pressure vessel inspection; by arranging a sensor group at key positions of the pressure vessel, regularly collecting temperature, pressure, vibration and strain data, and combining the finite element analysis theory and the comprehensive evaluation model, the present invention can accurately identify potential risks and ensure the safe operation of the equipment; by comprehensively analyzing stress failure, fatigue failure and corrosion damage, execution signals of different risk states are automatically generated to trigger the execution control module to perform corresponding control operations; according to the evaluation results, the equipment is automatically shut down, operation parameters are adjusted or an emergency inspection is started, significantly improving the management efficiency and reducing human operation errors; through an intelligent emergency response mechanism, early warnings are given before dangerous states occur, and automated measures are taken to avoid further damage, reducing the occurrence of equipment failures and accidents.

Description

Technical Field

[0001] The present invention relates to the technical field of pressure vessel inspection, and particularly to an intelligent auxiliary system and method for pressure vessel inspection. Background Art

[0002] Pressure vessels are widely used in industries such as petroleum, chemical, electric power, and metallurgy, and are tasked with withstanding high-pressure gases or liquids. Due to the harsh working environment and the special functions of pressure vessels themselves, faults such as cracks, corrosion, and fatigue may occur during their use. If these problems are not discovered and addressed in a timely manner, serious safety accidents may be triggered. Traditional pressure vessel inspections mainly rely on regular manual inspections and external visual inspections. Although this method can detect some obvious damages and faults, it also has many deficiencies.

[0003] Firstly, traditional manual inspections rely on regular checks and cannot reflect the dynamic changes of pressure vessels during operation in real time. Especially in the case of sudden damage or equipment aging, the failure to detect faults in a timely manner increases the risk of accidents.

[0004] Secondly, existing pressure vessel inspection technologies often focus on a single dimension (such as visual inspection, thickness measurement, etc.), making it difficult to comprehensively evaluate the overall health status of the vessel. There is a lack of systematic multi-dimensional data analysis and dynamic modeling, and it is impossible to accurately predict potential risks.

[0005] In view of the above problems, it is necessary to propose an intelligent auxiliary system and method for pressure vessel inspection. Summary of the Invention

[0006] The purpose of the present invention is to solve the problems existing in the background art, and to propose an intelligent auxiliary system and method for pressure vessel inspection.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] In the first aspect, the present invention provides an intelligent auxiliary system for pressure vessel inspection, including a data acquisition and transmission module, a data analysis module, a pressure vessel status evaluation module, and an execution control module.

[0009] The data acquisition and transmission module collects the operation data of the pressure vessel in real time through a sensor group arranged at various key positions of the pressure vessel.

[0010] Among them, the key positions include: the inner wall of the top of the pressure vessel, the inner wall of the bottom of the pressure vessel, the inner wall of the side of the pressure vessel, the outer wall of the top of the pressure vessel, the outer wall of the bottom of the pressure vessel, the outer wall of the side of the pressure vessel, the outlet of the pressure vessel, the inlet of the pressure vessel, and the welded surface of the inner and outer walls of the pressure vessel.

[0011] Among them, the sensor group includes: a temperature sensor, a pressure sensor, a vibration sensor, and a strain gauge.

[0012] As a preferred embodiment of the present invention, the sensor group is accessed at preset time intervals to obtain sensor data at each key position, including the temperature Hi(t), pressure Pi(t), vibration amplitude Wi(t), and strain δi(t) at each key position i. Where i is the numbering symbol of the key position, and the specific values are i = 1, 2,..., 9; corresponding to the inner wall of the top of the pressure vessel, the inner wall of the bottom of the pressure vessel, the inner wall of the side of the pressure vessel, the outer wall of the top of the pressure vessel, the outer wall of the bottom of the pressure vessel, the outer wall of the side of the pressure vessel, the outlet of the pressure vessel, the inlet of the pressure vessel, and the welded surface of the inner and outer walls of the pressure vessel respectively.

[0013] The sensor data at each key position is uploaded to the data analysis module in real time through wireless and wired transmission methods to provide data support for subsequent processing.

[0014] The data analysis module obtains the sensor data at each key position sent by the data acquisition and transmission module, and conducts data analysis based on the finite element analysis theory and the material fatigue failure assessment theory, and evaluates the overall monitoring status of the pressure vessel from three aspects: stress failure, fatigue failure, and corrosion damage.

[0015] As a preferred embodiment of the present invention, a three-dimensional stress model of the pressure vessel is established based on the finite element analysis theory, and the three-dimensional stress model is obtained according to the structural design drawings of the pressure vessel. Mesh division is performed in the three-dimensional stress model, and the pressure vessel structure is divided into small units with a length, width, and height of a preset value a, which is used to calculate pressure, stress, and strain on each small unit.

[0016] As a preferred embodiment of the present invention, in the three-dimensional stress model, it is assumed that the material used for the pressure vessel is a linear elastic material, that is, the stress-strain relationship of all small units is defined to follow Hooke's law: ; where , and are the normal stresses of the small unit in the x, y, and z directions respectively; where , and are the shear stresses of the small unit on the xy, yz, and xz planes respectively; where E is the Young's modulus of the pressure vessel material, G is the shear modulus of the pressure vessel material, and v is the Poisson's ratio of the pressure vessel material; where , and are the normal strains of the small unit in the x, y, and z directions respectively; where , and They are the shear strains of the small units in the xy, yz, and xz planes, respectively.

[0017] As a preferred embodiment of the present invention, stress propagation rules between individual small units are formulated based on changes in the displacement and stress fields, and the stiffness matrix of each small unit is established: ; where K is the stiffness matrix; where B is the displacement gradient matrix, which describes the relationship between stress and strain in each small unit; where D is the elastic matrix of the pressure vessel material, which describes the relationship between stress and strain in each small unit, ; where Ω is the volume domain of the unit.

[0018] A finite element solver is established, and its propagation rules are limited by the equilibrium equation during the propagation of stress in small units, and the redistribution of internal forces and stresses caused by the displacement of the pressure vessel under the action of external pressure, vibration, and temperature is calculated. The equation of the finite element solver is: ; where K is the stiffness matrix, where U is the unknown nodal displacement vector, and where F is the external force;

[0019] As a preferred embodiment of the present invention, the sensor data at each key position is used as the input of the three-dimensional stress model, and is applied to the small units at the corresponding positions of the pressure vessel in the three-dimensional stress model according to their respective corresponding key position identifiers, and the stress states of all small units in the three-dimensional stress model of the pressure vessel are obtained through the finite element solver and strain states . At each preset time interval, the three-dimensional stress model is updated with newly acquired sensor data, and the stress states and strain states of all small units in the three-dimensional stress model are dynamically updated.

[0020] As a preferred embodiment of the present invention, the actual stress states of each small unit in the three-dimensional stress model are obtained and visually output, color-coded according to the stress states of each small unit, and the corresponding color values are matched according to the specific numerical values of the normal stress and shear stress of each small unit to obtain the stress field distribution map of the entire pressure vessel.

[0021] As a preferred embodiment of the present invention, the stress and strain of each small unit in the three-dimensional stress model are obtained and input into the stress failure model, fatigue failure model, and corrosion damage model for further data analysis to analyze the location of the dangerous section and the usage status of the pressure vessel.

[0022] Among them, the stress failure model is specifically: through a preset formula calculate the Von Mises equivalent stress of each unit; where σ1, σ2, and σ3 are the principal stresses of each small unit; and their specific numerical values are the characteristic equation of the stress tensor The solutions, where λ is the unknown eigenvalue to be obtained; the expansion of the stress tensor characteristic equation is a cubic equation, and the three solutions of λ are the principal stresses σ1, σ2, and σ3. If it is recognized that the von Mises equivalent stress σVM of a small element is greater than the yield strength of the pressure vessel material, it is determined that the stress of the small element exceeds the material yield strength and enters the plastic deformation stage, and the small element fails; if it is recognized that the von Mises equivalent stress σVM of a small element is less than or equal to the yield strength of the pressure vessel material, it is determined that the small element is within the elastic range, and the strain that occurs will be fully recovered as the stress state improves, and the small element does not fail.

[0023] Calculate the von Mises equivalent stress of each small element and locate the small elements where the von Mises equivalent stress σVM is greater than the yield strength of the pressure vessel material.

[0024] Among them, the fatigue failure model is specifically: through a preset formula Calculate the Miners cycle constant of each small element ; where Aσ is the normal stress amplitude; Aσ = Aσ1, Aσ2,..., Aσmax; where Aσ1, Aσ2,..., Aσmax; are the specific reference values of the preset normal stress amplitude, and Aσmax is the maximum normal stress amplitude; where is the number of cycles at each large normal stress amplitude Aσ, and its specific value is based on the stress state the normal stress in , and the maximum value in is obtained. Whenever it is recognized that the specific value is greater than the normal stress amplitude Aσ or less than -Aσ, then the number of cycles at this normal stress amplitude Aσ is increased by 1; where is the preset standard number of cycles at each normal stress amplitude Aσ;

[0025] Calculate the Miners cycle constant of each small element and locate the small elements where the Miners cycle constant is greater than 1.

[0026] As a preferred embodiment of the present invention, record the maximum value , and in the normal stress calculated at each preset time interval. Taking the normal stress amplitude Aσ = Aσ1, Aσ2, Aσ3 as the judgment threshold, when it is recognized that transcends ±Aσ1 from a state less than Aσ or greater than -Aσ, let the number of cycles Increase the specific value by 1; when When transcending ±Aσ2 from a state less than Aσ2 or greater than -Aσ2, let the number of cycles Increase the specific value by 1; when When transcending ±Aσ3 from a state less than Aσ3 or greater than -Aσ3, let the number of cycles Increase the specific value by 1; and so on.

[0027] Establish a corrosion damage model: ; where t is time; vc(t) is the corrosion rate at time t; where k is a preset corrosion constant, reflecting the corrosion characteristics of the pressure vessel material itself; where is the maximum principal stress of the small element obtained from the three-dimensional stress model at time t, where is the maximum value among the temperatures Hi(t) at each key position i collected at time t; where Q is a preset activation energy constant, reflecting the chemical reaction rate of the environment where the pressure vessel material is located; where R is a preset gas constant, reflecting the gas environment where the pressure vessel is located. Where is the calculated final corrosion depth.

[0028] Calculate the final corrosion depth of each small element, and locate the small elements with a final corrosion depth greater than the preset threshold.

[0029] The pressure vessel status evaluation module evaluates the overall use status of the pressure vessel according to the analysis results of the stress failure model, fatigue failure model, and corrosion damage model in the data analysis module, and generates corresponding execution signals.

[0030] Obtain the specific positions of the small elements where the Von Mises equivalent stress σVM of each small element is greater than the yield strength of the pressure vessel material, and mark the small elements as stress failure units; obtain the specific positions of the small elements where the Miners cycle constant is greater than 1, and mark the small elements as fatigue failure units; obtain the specific positions of the small elements where the final corrosion depth is greater than the preset threshold, and mark the small elements as corrosion failure units.

[0031] Evaluate the overall use status of the pressure vessel according to the following rules:

[0032] When the following conditions are met, it is determined that the use status of the pressure vessel is normal, and a green label is assigned:

[0033] The Von Mises equivalent stress of all small elements is less than the material yield strength;

[0034] The Miners cycle constant of all small elements is less than 1;

[0035] The corrosion depth of all small units is less than a preset threshold.

[0036] When one of the following conditions is met, the usage status of the pressure vessel is determined to be a warning, and a yellow label is assigned:

[0037] There are N1 small units with Von Mises equivalent stress greater than the yield strength;

[0038] There are N1 small units with Miners cycle constant greater than 1;

[0039] There are N1 small units with corrosion depth greater than the preset threshold.

[0040] When the following conditions are met simultaneously, the usage status of the pressure vessel is determined to be dangerous, and a red label is assigned

[0041] There are N2 small units with Von Mises equivalent stress greater than the yield strength, resulting in plastic deformation;

[0042] There are N2 small units with Miners cycle constant greater than 1, entering the fatigue failure stage;

[0043] There are N2 small units with corrosion depth greater than the preset threshold, affecting the structural strength of the container.

[0044] Where N1 and N2 are preset judgment thresholds for the number of small units, and N2 is greater than N1.

[0045] Send the identification color of each pressure vessel to the execution control module.

[0046] The execution control module further triggers execution control operations according to the received identification colors of each pressure vessel to perform automated management operations and alarms, and takes corresponding control measures according to different risk states.

[0047] For pressure vessels with green labels, maintain the existing operating parameters such as pressure and temperature, do not make any adjustments, and do not trigger any emergency control instructions; continue to regularly collect sensor data and monitor the status changes of the pressure vessel in real time;

[0048] For pressure vessels with yellow labels, start the temperature regulating device and pressure relief device to adjust the temperature and the working pressure of small pressure vessels to avoid excessive stress concentration. Turn on the damping device to limit the vibration amplitude and reduce the occurrence of fatigue damage.

[0049] For pressure vessels with a red label, immediately perform an automatic shutdown operation to stop the operation of the pressure vessel and prevent further damage. Close the relevant valves to ensure that the pressure inside the pressure vessel drops to a safe range. Initiate an emergency inspection process, immediately notify the management personnel, and organize a professional team to conduct a detailed on-site inspection, especially for areas where stress failure, fatigue failure, or corrosion has occurred. Activate a more stringent monitoring system to monitor each key part for 24 hours, reduce the data collection time interval of the pressure vessel to half of the preset time interval, and improve the accuracy and density of data monitoring.

[0050] In a second aspect, the present invention provides an intelligent auxiliary method for pressure vessel inspection, including the following steps:

[0051] Step 1: Data collection and transmission;

[0052] Temperature, pressure, vibration, and strain data are collected in real time through a sensor group arranged at each key position of the pressure vessel.

[0053] Every preset time interval, the sensor data is uploaded to the data analysis module through wireless and wired methods for subsequent processing.

[0054] Step 2: Data analysis and three-dimensional stress model establishment;

[0055] The transmitted data is processed by the data analysis module, and based on the finite element analysis theory and the material fatigue failure assessment theory, the stress, fatigue damage, and corrosion conditions of the pressure vessel are analyzed.

[0056] According to the structural drawing of the pressure vessel, the mesh is divided using the finite element method, and the stress and strain states of each small unit are calculated. The collected sensor data is used as input for model updating.

[0057] Step 3: Pressure vessel status assessment;

[0058] The Von Mises equivalent stress of each small unit is calculated through the stress failure model, and the units with stress exceeding the yield strength are identified to determine whether failure has occurred.

[0059] The Miners cycle constant of each small unit is calculated through the fatigue failure model to evaluate the degree of fatigue damage and identify the fatigue failure area.

[0060] The corrosion rate and corrosion depth are calculated through the corrosion damage model to locate the corrosion damage area. The overall health status of the pressure vessel is comprehensively evaluated based on the above three aspects to generate an evaluation result.

[0061] Step 4: Execution signal generation and status assessment;

[0062] When the following conditions are met, it is determined that the usage status of the pressure vessel is normal, and a green label is assigned:

[0063] The von Mises equivalent stress of all small elements is less than the material yield strength;

[0064] The Miners cycle constant of all small elements is less than 1;

[0065] The corrosion depth of all small elements is less than the preset threshold.

[0066] When one of the following conditions is met, it is determined that the usage status of the pressure vessel is a warning, and a yellow label is assigned:

[0067] There are N1 small elements whose von Mises equivalent stress is greater than the yield strength;

[0068] There are N1 small elements whose Miners cycle constant is greater than 1;

[0069] There are N1 small elements whose corrosion depth is greater than the preset threshold.

[0070] When the following conditions are met simultaneously, it is determined that the usage status of the pressure vessel is dangerous, and a red label is assigned

[0071] There are N2 small elements whose von Mises equivalent stress is greater than the yield strength and plastic deformation occurs;

[0072] There are N2 small elements whose Miners cycle constant is greater than 1 and enter the fatigue failure stage;

[0073] There are N2 small elements whose corrosion depth is greater than the preset threshold, affecting the structural strength of the container.

[0074] Where N1 and N2 are the preset judgment thresholds for the number of small elements, and N2 is greater than N1.

[0075] Generate an execution signal according to the classification and transmit it to the execution control module.

[0076] Step Five: Execution control response;

[0077] Perform specific operation and maintenance operations according to the status evaluation result and the execution signal;

[0078] For pressure vessels with green labels, maintain the existing operating parameters such as pressure and temperature, do not make any adjustments, and do not trigger any emergency control instructions; continue to regularly collect sensor data and monitor the status changes of the pressure vessel in real time;

[0079] For pressure vessels with yellow identification, start the temperature regulating device and pressure relief device, adjust the temperature and the working pressure of the small pressure vessel to avoid excessive stress concentration. Turn on the damping device to limit the vibration amplitude and reduce the occurrence of fatigue damage.

[0080] For pressure vessels with red identification, immediately perform an automatic shutdown operation to stop the operation of the pressure vessel and prevent further damage. Close the relevant valves to ensure that the pressure inside the pressure vessel drops to a safe range. Start an emergency inspection process, immediately notify the management personnel, and organize a professional team to conduct a detailed on-site inspection, especially for areas where stress rupture, fatigue failure or corrosion occur. Start a more stringent monitoring system to monitor each key part for 24 hours, and reduce the data acquisition time interval of the pressure vessel to half of the preset time interval to improve the accuracy and density of data monitoring.

[0081] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0082] 1. By arranging a sensor group at key positions of the pressure vessel and regularly collecting temperature, pressure, vibration and strain data, and uploading them to the data analysis module in real time, the present invention can continuously monitor the health status of the pressure vessel. This real-time monitoring enables the timely evaluation of the usage status of the pressure vessel, reducing the lag and limitations of traditional manual inspections. Through a three-dimensional stress model based on the finite element analysis theory and a comprehensive evaluation of fatigue failure, stress rupture and corrosion damage, potential risks can be accurately identified to ensure the safety of equipment operation;

[0083] 2. The pressure vessel status evaluation module of the present invention combines a comprehensive model of stress rupture, fatigue failure and corrosion damage, and can automatically generate corresponding execution signals according to different risk states (such as green, yellow, red), triggering the execution control module to perform corresponding control operations. According to the evaluation results, the system automatically responds, enabling operations such as automatic shutdown, adjustment of operation parameters and start of emergency inspections, greatly improving the management efficiency of the pressure vessel and reducing the risk of human operation errors;

[0084] 3. By combining real-time data collection and automatic evaluation, the present invention can give early warnings and trigger corresponding safety measures before dangerous states occur. When the status of the pressure vessel reaches yellow or red, the system will not only issue warning signals, but also take measures to automatically adjust the temperature, pressure or vibration, and even perform automatic shutdown in case of emergency to prevent further damage to the container. This automated and intelligent emergency response mechanism can ensure the safe operation of the pressure vessel, reduce the probability of equipment failures and accidents, and thus ensure personnel safety and equipment reliability. Description of the Drawings

[0085] For the convenience of those skilled in the art to understand, the present invention will be further described below in conjunction with the accompanying drawings:

[0086] Figure 1 It is the system block diagram of the present invention;

[0087] Figure 2 It is the schematic diagram of the visualization output of the three-dimensional stress model proposed in the embodiment of the present invention;

[0088] Figure 3 It is the schematic diagram of the relationship between the number of cycles and the maximum normal stress proposed in the embodiment of the present invention;

[0089] Figure 4 It is the method flow chart of the present invention. Specific embodiments

[0090] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of protection of the present invention.

[0091] Please refer to Figure 1 As shown, an intelligent auxiliary system for pressure vessel inspection includes a data acquisition and transmission module, a data analysis module, a pressure vessel status evaluation module, and an execution control module.

[0092] The data acquisition and transmission module collects the operation data of the pressure vessel in real time through a sensor group arranged at each key position of the pressure vessel.

[0093] Among them, the key positions include: the inner wall of the top of the pressure vessel, the inner wall of the bottom of the pressure vessel, the inner wall of the side of the pressure vessel, the outer wall of the top of the pressure vessel, the outer wall of the bottom of the pressure vessel, the outer wall of the side of the pressure vessel, the outlet of the pressure vessel, the inlet of the pressure vessel, and the welded surface of the inner and outer walls of the pressure vessel.

[0094] Among them, the sensor group includes: a temperature sensor, a pressure sensor, a vibration sensor, and a strain gauge.

[0095] Furthermore, the sensor group is accessed at preset time intervals to obtain the sensor data of each key position, including the temperature Hi(t), pressure Pi(t), vibration amplitude Wi(t), and strain δi(t) of each key position i. Where i is the numbering symbol of the key position, and the specific value is i = 1, 2,..., 9; corresponding to the inner wall of the top of the pressure vessel, the inner wall of the bottom of the pressure vessel, the inner wall of the side of the pressure vessel, the outer wall of the top of the pressure vessel, the outer wall of the bottom of the pressure vessel, the outer wall of the side of the pressure vessel, the outlet of the pressure vessel, the inlet of the pressure vessel, and the welded surface of the inner and outer walls of the pressure vessel respectively.

[0096] The sensor data at each key position is uploaded to the data analysis module in real time through wireless and wired transmission methods, providing data support for subsequent processing.

[0097] The data analysis module obtains the sensor data at each key position sent by the data acquisition and transmission module, and conducts data analysis based on the finite element analysis theory and the material fatigue failure evaluation theory, evaluating the overall monitoring status of the pressure vessel from three aspects: stress failure, fatigue failure, and corrosion damage.

[0098] Furthermore, a three-dimensional stress model of the pressure vessel is established based on the finite element analysis theory, and the three-dimensional stress model is obtained according to the structural design drawings of the pressure vessel. Mesh division is carried out in the three-dimensional stress model, and the pressure vessel structure is divided into multiple small units with a length, width, and height of a preset value a, for calculating pressure, stress, and strain on each small unit.

[0099] Furthermore, in the three-dimensional stress model, it is assumed that the material used for the pressure vessel is a linear elastic material, that is, it is stipulated that the stress-strain relationship of all small units follows Hooke's law: ; where , and are the normal stresses of the small unit in the x, y, and z directions respectively; where , and are the shear stresses of the small unit on the xy, yz, and xz planes respectively; where E is the Young's modulus of the pressure vessel material, G is the shear modulus of the pressure vessel material, and v is the Poisson's ratio of the pressure vessel material; where , and are the normal strains of the small unit in the x, y, and z directions respectively; where , and are the shear strains of the small unit on the xy, yz, and xz planes respectively.

[0100] Furthermore, based on the changes in displacement and stress fields, a stress propagation rule between each small unit is formulated, and the stiffness matrix of each small unit is established: ; where K is the stiffness matrix; where B is the displacement gradient matrix, describing the relationship between stress and strain in each small unit; where D is the elastic matrix of the pressure vessel material, describing the relationship between stress and strain in each small unit, ; where Ω is the volume domain of the unit.

[0101] A finite element solver is established. Its propagation rules are defined by the equilibrium equations during the propagation of stress in small elements, and the redistribution of internal forces and stresses caused by the displacements of the pressure vessel under external pressure, vibration, and temperature is calculated. The equation of the finite element solver is: where K is the stiffness matrix, U is the unknown nodal displacement vector, and F is the external force;

[0102] Furthermore, the sensor data at each key position is used as the input of the three-dimensional stress model. According to the corresponding key position numbering symbols, it is applied to the small elements at the corresponding positions of the pressure vessel in the three-dimensional stress model, and the stress states of all small elements in the three-dimensional stress model of the pressure vessel are obtained through the finite element solver and strain states . At every preset time interval, the three-dimensional stress model is updated with newly collected sensor data, and the stress states and strain states of all small elements in the three-dimensional stress model are dynamically updated.

[0103] Please refer to Figure 2 as shown. As shown in the visualization output schematic diagram of the three-dimensional stress model, the actual stress states of the small elements in the three-dimensional stress model are obtained and visually output. Color marking is performed according to the stress states of the small elements, and the corresponding color values are matched according to the specific values of the normal stress and shear stress of each small element to obtain the stress field distribution diagram of the entire pressure vessel.

[0104] Furthermore, the stresses and strains of the small elements in the three-dimensional stress model are obtained and input into the stress failure model, fatigue failure model, and corrosion damage model for further data analysis to analyze the location of the dangerous section and the usage status of the pressure vessel.

[0105] Among them, the stress failure model is specifically: the Von Mises equivalent stress of each element is calculated through a preset formula ; where σ1, σ2, and σ3 are the principal stresses of each small element; their specific values are the solutions of the stress tensor characteristic equation , where λ is the unknown eigenvalue to be obtained; the expansion of the stress tensor characteristic equation is a cubic equation, and the three solutions of λ are the principal stresses σ1, σ2, and σ3. If it is identified that the Von Mises equivalent stress σVM of a small element is greater than the yield strength of the pressure vessel material, it is determined that the stress of this small element exceeds the material yield strength and enters the plastic deformation stage, and this small element fails; if it is identified that the Von Mises equivalent stress σVM of a small element is less than or equal to the yield strength of the pressure vessel material, it is determined that this small element is within the elastic range, and the strain that occurs will completely recover as the stress state improves, and this small element does not fail.

[0106] Calculate the von Mises equivalent stress of each small element, and locate the small elements where the von Mises equivalent stress σVM is greater than the yield strength of the pressure vessel material.

[0107] Among them, the specific fatigue failure model is: through a preset formula Calculate the Miners cycle constant of each small element ; where Aσ is the normal stress amplitude; Aσ = Aσ1, Aσ2,..., Aσmax; where Aσ1, Aσ2,..., Aσmax; are the specific reference values of the preset normal stress amplitude, and Aσmax is the maximum normal stress amplitude; where is the number of cycles at each large normal stress amplitude Aσ, and its specific value is obtained according to the normal stress in the stress state , and the maximum value in is obtained. Whenever it is recognized that the specific value is greater than the normal stress amplitude Aσ or less than -Aσ, then the number of cycles at this normal stress amplitude Aσ is increased by 1; where is the preset standard number of cycles at each normal stress amplitude Aσ;

[0108] Calculate the Miners cycle constant of each small element, and locate the small elements where the Miners cycle constant is greater than 1.

[0109] Please refer to Figure 3 as shown, as shown in the schematic diagram of the relationship between the number of cycles and the maximum normal stress, record the normal stress , and calculated at each preset time interval the maximum value in When it is recognized that transcends ±Aσ1 from a state less than Aσ or greater than -Aσ, the number of cycles is increased by 1; when it is recognized that transcends ±Aσ2 from a state less than Aσ2 or greater than -Aσ2, the number of cycles is increased by 1; when it is recognized that transcends ±Aσ3 from a state less than Aσ3 or greater than -Aσ3, the number of cycles Figure 2 is increased by 1; taking as an example, = 22; = 13;

[0110] It should be noted that for metal materials, under the service conditions of high-frequency cyclic loads, even if the cyclic load applied each time is far lower than its yield strength, it may still lead to the destruction of the material structure. For example, during the process of repeatedly bending a wire, although the load applied each time is far lower than the yield strength of the wire, this repeated cyclic load can still cause damage to the structure of the wire.

[0111] It should be further noted that the significance of the Miners cycle constant is that it is a method for evaluating the fatigue life of materials under various stress amplitudes. By calculating the number of cycles of each small element under different stress amplitudes, the Miners' rule accumulates the contributions of each stress amplitude to the fatigue damage of the material, thereby predicting the cumulative damage situation of the material.

[0112] Establish a corrosion damage model: ; where t is time; vc(t) is the corrosion rate at time t; where k is a preset corrosion constant, reflecting the corrosion characteristics of the pressure vessel material itself; where is the maximum principal stress of the small element obtained from the three-dimensional stress model at time t, where is the maximum value among the temperatures Hi(t) of each key position i collected at time t; where Q is a preset activation energy constant, reflecting the chemical reaction rate of the environment where the pressure vessel material is located; where R is a preset gas constant, reflecting the gas environment where the pressure vessel is located. Where is the calculated final corrosion depth.

[0113] Calculate the final corrosion depth of each small element and locate the small elements whose final corrosion depth is greater than the preset threshold.

[0114] It should be noted that during the use process, the damage and rupture of the pressure vessel are not caused by a single factor, but the result of the combined influence of multiple factors. Specifically, stress failure is one of the main factors that the pressure vessel may rupture or leak, and it is used to evaluate the stress concentration of each part of the pressure vessel, especially in the areas with thinner vessel walls. Fatigue failure is a phenomenon in which the pressure vessel gradually develops microcracks and minor damages under the action of long-term pressure changes, resulting in the overall pressure level of the pressure vessel being much lower than the conditions for pressure failure, but still experiencing structural failure. Corrosion damage will cause the reduction of the vessel wall thickness, thereby affecting the strength and safety of the vessel.

[0115] The pressure vessel condition assessment module evaluates the service condition of the entire pressure vessel according to the analysis results of the stress failure model, fatigue failure model, and corrosion damage model in the data analysis module, and generates corresponding execution signals.

[0116] Obtain the specific positions of the small elements where the von Mises equivalent stress σVM is greater than the yield strength of the pressure vessel material, and mark these small elements as stress failure elements; obtain the specific positions of the small elements where the Miners cycle constant is greater than 1, and mark these small elements as fatigue failure elements; obtain the specific positions of the small elements where the final corrosion depth is greater than the preset threshold, and mark these small elements as corrosion failure elements.

[0117] Evaluate the overall usage status of the pressure vessel according to the following rules:

[0118] When the following conditions are met, determine that the usage status of the pressure vessel is normal and assign a green label:

[0119] The von Mises equivalent stress of all small elements is less than the material yield strength;

[0120] The Miners cycle constant of all small elements is less than 1;

[0121] The corrosion depth of all small elements is less than the preset threshold.

[0122] When one of the following conditions is met, determine that the usage status of the pressure vessel is a warning and assign a yellow label:

[0123] There are N1 small elements whose von Mises equivalent stress is greater than the yield strength;

[0124] There are N1 small elements whose Miners cycle constant is greater than 1;

[0125] There are N1 small elements whose corrosion depth is greater than the preset threshold.

[0126] When the following conditions are met simultaneously, determine that the usage status of the pressure vessel is dangerous and assign a red label

[0127] There are N2 small elements whose von Mises equivalent stress is greater than the yield strength and plastic deformation occurs;

[0128] There are N2 small elements whose Miners cycle constant is greater than 1 and enter the fatigue failure stage;

[0129] There are N2 small elements whose corrosion depth is greater than the preset threshold and affects the structural strength of the container.

[0130] Where N1 and N2 are preset judgment thresholds for the number of small elements, and N2 is greater than N1.

[0131] Send the identification color of each pressure vessel to the execution control module.

[0132] The execution control module further triggers execution control operations based on the identified colors of each pressure vessel received to perform automated management operations and alarms, and takes corresponding control measures according to different risk states.

[0133] For pressure vessels with green identification, maintain the existing operating parameters such as pressure and temperature without any adjustment and do not trigger any emergency control instructions; continue to regularly collect sensor data and monitor the state changes of the pressure vessel in real time;

[0134] For pressure vessels with yellow identification, start the temperature regulating device and the pressure relief device to adjust the temperature and the working pressure of the small pressure vessel to avoid excessive stress concentration. Turn on the damping device to limit the vibration amplitude and reduce the occurrence of fatigue damage.

[0135] For pressure vessels with red identification, immediately perform an automatic shutdown operation to stop the operation of the pressure vessel to prevent further damage. Close the relevant valves to ensure that the pressure inside the pressure vessel drops to a safe range. Start an emergency inspection process, immediately notify the management personnel, and organize a professional team to conduct a detailed on-site inspection, especially for areas where stress rupture, fatigue failure, or corrosion occur. Start a more stringent monitoring system to monitor each key part for 24 hours, reduce the data collection time interval of the pressure vessel to half of the preset time interval, and improve the accuracy and density of data monitoring.

[0136] Please refer to Figure 4 as shown, an intelligent auxiliary method for pressure vessel inspection includes the following steps:

[0137] Step 1: Data collection and transmission;

[0138] Real-time collect temperature, pressure, vibration, and strain data through a sensor group arranged at each key position of the pressure vessel.

[0139] Every preset time interval, the sensor data is uploaded to the data analysis module through wireless and wired methods for subsequent processing.

[0140] Step 2: Data analysis and three-dimensional stress model establishment;

[0141] Process the transmitted data through the data analysis module, and analyze the stress, fatigue damage, and corrosion conditions of the pressure vessel based on the finite element analysis theory and the material fatigue failure assessment theory.

[0142] According to the structural drawings of the pressure vessel, divide the grid using the finite element method and calculate the stress and strain states of each small unit. Use the collected sensor data as input to update the model.

[0143] Step 3: Pressure vessel state assessment;

[0144] Calculate the Von Mises equivalent stress of each small element through the stress failure model, identify the elements with stress exceeding the yield strength, and determine whether failure has occurred.

[0145] Calculate the Miners cycle constant of each small element through the fatigue failure model, evaluate the degree of fatigue damage, and identify the fatigue failure area.

[0146] Calculate the corrosion rate and corrosion depth through the corrosion damage model, and locate the corrosion damage area. Evaluate the overall health status of the pressure vessel by integrating the three, and generate an evaluation result.

[0147] Step 4: Execute signal generation and status evaluation;

[0148] When the following conditions are met, determine that the usage status of the pressure vessel is normal and assign a green label:

[0149] The Von Mises equivalent stress of all small elements is less than the material yield strength;

[0150] The Miners cycle constant of all small elements is less than 1;

[0151] The corrosion depth of all small elements is less than the preset threshold.

[0152] When one of the following conditions is met, determine that the usage status of the pressure vessel is a warning and assign a yellow label:

[0153] There are N1 small elements with Von Mises equivalent stress greater than the yield strength;

[0154] There are N1 small elements with Miners cycle constant greater than 1;

[0155] There are N1 small elements with corrosion depth greater than the preset threshold.

[0156] When the following conditions are met simultaneously, determine that the usage status of the pressure vessel is dangerous and assign a red label

[0157] There are N2 small elements with Von Mises equivalent stress greater than the yield strength, resulting in plastic deformation;

[0158] There are N2 small elements with Miners cycle constant greater than 1, entering the fatigue failure stage;

[0159] There are N2 small elements with corrosion depth greater than the preset threshold, affecting the structural strength of the container.

[0160] Where N1 and N2 are the preset judgment thresholds for the number of small elements, and N2 is greater than N1.

[0161] Generate an execution signal according to the classification and transmit it to the execution control module.

[0162] Step Five: Execution control response;

[0163] Perform specific operation and maintenance operations according to the status evaluation result and the execution signal;

[0164] For pressure vessels with a green label, maintain the existing operating parameters such as pressure and temperature without any adjustment and without triggering any emergency control instructions; continue to collect sensor data regularly and monitor the status change of the pressure vessel in real time;

[0165] For pressure vessels with a yellow label, start the temperature regulating device and the pressure relief device to adjust the temperature and the working pressure of the small pressure vessel to avoid excessive stress concentration. Turn on the damping device to limit the vibration amplitude and reduce the occurrence of fatigue damage.

[0166] For pressure vessels with a red label, immediately perform an automatic shutdown operation to stop the operation of the pressure vessel to prevent further damage. Close the relevant valves to ensure that the pressure inside the pressure vessel drops to a safe range. Start an emergency inspection process, immediately notify the management personnel, and organize a professional team to conduct a detailed on-site inspection, especially for areas where stress failure, fatigue failure, or corrosion has occurred. Start a more rigorous monitoring system to monitor each key part for 24 hours, reduce the data collection time interval of the pressure vessel to half of the preset time interval, and improve the accuracy and density of data monitoring.

[0167] It should be understood that the terms "including" and "comprising" used in the specification and claims of this disclosure indicate the presence of the described features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.

[0168] It should also be understood that the terms used in this disclosure specification are only for the purpose of describing specific embodiments and are not intended to limit this disclosure. As used in this disclosure specification and claims, unless the context clearly indicates otherwise, the singular forms "a", "an", and "the" are intended to include the plural forms. It should be further understood that the term "and / or" used in this disclosure specification and claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations;

[0169] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only the specific embodiments. Obviously, many modifications and variations can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

[0170] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only the specific embodiments. Obviously, many modifications and variations can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. An intelligent auxiliary system for pressure vessel inspection, comprising a data analysis module and a pressure vessel status evaluation module, characterized in that: The data analysis module establishes a three-dimensional stress model of the pressure vessel based on the sensor data provided by the data acquisition module, divides the structure of the pressure vessel into grids to obtain a number of small elements; calculates the stress state and strain state of each small element through stress-strain analysis and the sensor data sent by the data acquisition and transmission module; establishes a stress failure model, a fatigue failure model, and a corrosion damage model through finite element analysis theory and fatigue failure assessment theory, and comprehensively analyzes the stress, fatigue damage, and corrosion damage of the pressure vessel in combination with the stress state and strain state of each small element; Establish a three-dimensional stress model of the pressure vessel according to the structural design drawing of the pressure vessel, perform grid division in the three-dimensional stress model, and divide the structure of the pressure vessel into small elements with a length, width, and height of a preset value a, for calculating pressure, stress, and strain on each small element; In the three-dimensional stress model described above, assume that the material used for the pressure vessel is a linear elastic material, that is, the stress-strain relationship of all small elements is defined to follow Hooke's law: ; where , and are the normal stresses of the small element in the x, y, and z directions respectively; where , and are the shear stresses of the small element on the xy, yz, and xz planes respectively; where E is the Young's modulus of the pressure vessel material, G is the shear modulus of the pressure vessel material, and v is the Poisson's ratio of the pressure vessel material; where , and are the normal strains of the small element in the x, y, and z directions respectively; where , and are the shear strains of the small element on the xy, yz, and xz planes respectively; Formulate stress propagation rules between each small element based on the changes in displacement and stress fields; The specific stress propagation rules between each small element are as follows: Establish the stiffness matrix of each small element: ; where K is the stiffness matrix; where B is the displacement gradient matrix, describing the relationship between stress and strain in each small element; where D is the elastic matrix of the pressure vessel material, describing the relationship between stress and strain in each small element, ; where Ω is the volume domain of the element; A finite element solver is established. Its propagation rules are defined by the equilibrium equation during the propagation of stress in small elements, and the redistribution of internal forces and stresses caused by the displacements of the pressure vessel under external pressure, vibration, and temperature is calculated. The equation of the finite element solver is: where K is the stiffness matrix, U is the unknown nodal displacement vector, and F is the external force; The sensor data at each key position is used as the input of the three-dimensional stress model and applied to the small units at the corresponding positions of the pressure vessel in the three-dimensional stress model according to their respective corresponding key position number symbols. The stress states of all small units in the three-dimensional stress model of the pressure vessel are obtained through a finite element solver. And strain states ; At every preset time interval, the three-dimensional stress model is updated with newly acquired sensor data, and the stress states and strain states of all small units in the three-dimensional stress model are dynamically updated. The pressure vessel status assessment module comprehensively analyzes the stress state and strain state of all small elements in combination with the stress failure model, the fatigue failure model, and the corrosion damage model, and assesses the overall health status of the pressure vessel; calculates the Von Mises equivalent stress, Miners cycle constant, and corrosion depth of each small element through the stress state and strain state of each small element, and analyzes the usage status of the pressure vessel; according to the analysis results, mark the pressure vessel as different risk states, including green, yellow, and red, and generate corresponding execution signals.

2. The intelligent auxiliary system for pressure vessel inspection according to claim 1, wherein It also includes a data acquisition and transmission module and an execution control module; The data acquisition and transmission module real-time collects the operation data of the pressure vessel through a sensor group arranged at each key position of the pressure vessel; Among them, the key positions include: the inner wall of the top of the pressure vessel, the inner wall of the bottom of the pressure vessel, the inner wall of the side of the pressure vessel, the outer wall of the top of the pressure vessel, the outer wall of the bottom of the pressure vessel, the outer wall of the side of the pressure vessel, the outlet of the pressure vessel, the inlet of the pressure vessel, and the welded surface of the inner and outer walls of the pressure vessel; Among them, the sensor group includes: a temperature sensor, a pressure sensor, a vibration sensor, and a strain gauge; Access the sensor group at preset time intervals to obtain the sensor data of each key position, including the temperature Hi(t), pressure Pi(t), vibration amplitude Wi(t), and strain δi(t) of each key position i; where i is the numbering symbol of the key position, and the specific value is i = 1, 2,..., 9; corresponding to the inner wall of the top of the pressure vessel, the inner wall of the bottom of the pressure vessel, the inner wall of the side of the pressure vessel, the outer wall of the top of the pressure vessel, the outer wall of the bottom of the pressure vessel, the outer wall of the side of the pressure vessel, the outlet of the pressure vessel, the inlet of the pressure vessel, and the welded surface of the inner and outer walls of the pressure vessel respectively; Real-time upload the sensor data of each key position to the data analysis module through wireless and wired transmission methods; The execution control module triggers execution control operations to perform automated management operations and alarms according to the received identification colors of each pressure vessel, and takes corresponding control measures according to the risk states of green, yellow, and red.

3. An intelligent auxiliary system for pressure vessel inspection according to claim 1, characterized in that, The specific stress failure model is as follows: By calculating the von Mises equivalent stress of each element; wherein, σ1, σ2, and σ3 are the principal stresses of each small element; and the specific values thereof are the solutions of the stress tensor characteristic equation where λ is the unknown eigenvalue to be obtained; the expansion of the stress tensor characteristic equation is a cubic equation, and the three solutions of λ are the principal stresses σ1, σ2, and σ3; if it is recognized that the von Mises equivalent stress σVM of a small element is greater than the yield strength of the pressure vessel material, it is determined that the stress of the small element exceeds the material yield strength and enters the plastic deformation stage, and the small element is damaged; if it is recognized that the von Mises equivalent stress σVM of a small element is less than or equal to the yield strength of the pressure vessel material, it is determined that the small element is within the elastic range, and the strain generated will be completely restored as the stress state improves, and the small element is not damaged; Calculate the von Mises equivalent stress of each small unit and locate the small units where the von Mises equivalent stress σVM is greater than the yield strength of the pressure vessel material.

4. An intelligent auxiliary system for pressure vessel inspection according to claim 1, characterized in that, The specific fatigue failure model is as follows: By means of a preset formula Calculate the Miners cycle constant of each small unit ; where Aσ is the normal stress amplitude; Aσ = Aσ1, Aσ2,..., Aσmax; where Aσ1, Aσ2,..., Aσmax; are the specific reference values of the preset normal stress amplitude, and Aσmax is the maximum normal stress amplitude; where is the number of cycles at each large normal stress amplitude Aσ, and its specific value is obtained according to the normal stress in the stress state , and the maximum value in is obtained. Whenever it is recognized that the specific value of is greater than the normal stress amplitude Aσ or less than -Aσ, then the number of cycles at the normal stress amplitude Aσ is increased by 1; where is the preset standard number of cycles Aσ at each normal stress amplitude; Calculate the Miners cycle constant of each small unit and locate the small units where the Miners cycle constant is greater than 1; Record the normal stress calculated at each preset time interval , and the maximum value in , and use the normal stress amplitudes Aσ = Aσ1, Aσ2, Aσ3 as the judgment thresholds. When it is recognized that transcends ±Aσ1 from a state less than Aσ or greater than -Aσ, increase the specific value of the cycle count by 1; when it is recognized that transcends ±Aσ2 from a state less than Aσ2 or greater than -Aσ2, increase the specific value of the cycle count by 1; when it is recognized that transcends ±Aσ3 from a state less than Aσ3 or greater than -Aσ3, increase the specific value of the cycle count by 1, and so on.

5. An intelligent auxiliary system for pressure vessel inspection according to claim 1, characterized in that, The specific corrosion damage model is as follows: Through a preset formula Calculate the final corrosion depth of each small unit; where t is time; vc(t) is the corrosion rate at time t; where k is a preset corrosion constant, reflecting the corrosion characteristics of the pressure vessel material itself; where is the maximum principal stress of the small unit obtained from the three-dimensional stress model at time t, where is the maximum value among the temperatures Hi(t) of each key position i collected at time t; where Q is a preset activation energy constant, reflecting the chemical reaction rate of the environment where the pressure vessel material is located; where R is a preset gas constant, reflecting the gas environment where the pressure vessel is located; where is the calculated final corrosion depth; Calculate the final corrosion depth of each small unit and locate the small units where the final corrosion depth is greater than the preset threshold.

6. The intelligent auxiliary system for pressure vessel inspection according to claim 1, wherein The specific process of marking the pressure vessel in different risk states according to the analysis results is as follows: Obtain the specific positions of the small units where the von Mises equivalent stress σVM of each small unit is greater than the yield strength of the pressure vessel material, and mark these small units as stress failure units; obtain the specific positions of the small units where the Miners cycle constant is greater than 1, and mark these small units as fatigue failure units; obtain the specific positions of the small units where the final corrosion depth is greater than the preset threshold, and mark these small units as corrosion failure units; Evaluate the overall usage status of the pressure vessel according to the following rules: When the following conditions are met, it is determined that the usage status of the pressure vessel is normal, and a green label is assigned: The von Mises equivalent stress of all small units is less than the material yield strength; The Miners cycle constant of all small units is less than 1; The corrosion depth of all small units is less than the preset threshold; When one of the following conditions is met, it is determined that the usage status of the pressure vessel is a warning, and a yellow label is assigned: There are N1 small units where the von Mises equivalent stress is greater than the yield strength; There are N1 small units where the Miners cycle constant is greater than 1; There are N1 small units where the corrosion depth is greater than the preset threshold; When the following conditions are met simultaneously, it is determined that the usage status of the pressure vessel is dangerous, and a red label is assigned: There are N2 small units where the von Mises equivalent stress is greater than the yield strength and plastic deformation occurs; There are N2 small units where the Miners cycle constant is greater than 1 and the fatigue failure stage is entered; There are N2 small units where the corrosion depth is greater than the preset threshold and the structural strength of the container is affected; Where N1 and N2 are preset judgment thresholds for the number of small units, and N2 is greater than N1.

7. An intelligent auxiliary system for pressure vessel inspection according to claim 2, characterized in that, The specific process of taking corresponding control measures according to the green, yellow, and red risk states is as follows: For pressure vessels with green labels, maintain the existing pressure and temperature operating parameters, do not make any adjustments, and do not trigger any emergency control instructions; continue to regularly collect sensor data and monitor the status changes of the pressure vessel in real time; For pressure vessels with yellow labels, start the temperature adjustment device and pressure relief device to adjust the temperature and the working pressure of the small pressure vessel, and start the damping device to limit the vibration amplitude; For pressure vessels with red labels, immediately perform an automatic shutdown operation, stop the operation of the pressure vessel, and close the relevant valves; Initiate an emergency inspection process, immediately notify the management personnel, organize a professional team to conduct a detailed on-site inspection. For the areas where stress failure, fatigue failure or corrosion occur, start the monitoring system to monitor each key part for 24 hours, and reduce the data acquisition time interval of the pressure vessel to half of the preset time interval.

8. An intelligent auxiliary method for pressure vessel inspection, characterized in that Applied to an intelligent auxiliary system for pressure vessel inspection according to any one of claims 1-7, including the following steps: Step 1: Data acquisition and transmission; Real-time collect temperature, pressure, vibration and strain data through sensor groups arranged at various key positions of the pressure vessel; at preset time intervals, the sensor data is uploaded to the data analysis module by wireless and wired methods. Step 2: Data analysis and three-dimensional stress model establishment; Process the transmitted data through the data analysis module, analyze the stress, fatigue damage and corrosion conditions of the pressure vessel based on the finite element analysis theory and the material fatigue failure assessment theory; divide the grid using the finite element method according to the structural drawing of the pressure vessel, and calculate the stress and strain states of each small unit; use the collected sensor data as input to update the model. Step 3: Pressure vessel status assessment; Calculate the Von Mises equivalent stress of each small unit through the stress failure model, identify the units with stress exceeding the yield strength, and judge whether failure occurs. Calculate the Miners cycle constant of each small unit through the fatigue failure model, evaluate the degree of fatigue damage, and identify the fatigue failure area. Calculate the corrosion rate and corrosion depth through the corrosion damage model, locate the corrosion damage area; comprehensively evaluate the overall health status of the pressure vessel based on the above three aspects, and generate an evaluation result. Step 4: Execution signal generation and status assessment; When the following conditions are met, it is determined that the use state of the pressure vessel is normal, and a green label is assigned: The Von Mises equivalent stress of all small units is less than the material yield strength; The Miners cycle constant of all small units is less than 1; The corrosion depth of all small units is less than the preset threshold; When one of the following conditions is met, it is determined that the use state of the pressure vessel is in early warning, and a yellow label is assigned: There are N1 small units with Von Mises equivalent stress greater than the yield strength; There are N1 small units with Miners cycle constant greater than 1; There are N1 small units with corrosion depth greater than the preset threshold; When the following conditions are met simultaneously, it is determined that the use state of the pressure vessel is dangerous, and a red label is assigned: There are N2 small units with Von Mises equivalent stress greater than the yield strength, and plastic deformation occurs; There are N2 small units with Miners cycle constant greater than 1, entering the fatigue failure stage; There are N2 small units with corrosion depth greater than the preset threshold, affecting the structural strength of the container; Where N1 and N2 are preset judgment thresholds for the number of small units, and N2 is greater than N1; Generate an execution signal according to the classification and transmit it to the execution control module; Step 5: Execution control response; Perform specific operation and maintenance operations according to the status assessment result and the execution signal. For pressure vessels with green labels, maintain the existing pressure and temperature operating parameters without any adjustment and without triggering any emergency control instructions; continue to regularly collect sensor data and monitor the state changes of the pressure vessels in real time; For pressure vessels with yellow labels, start the temperature regulating device and pressure relief device, adjust the temperature and the working pressure of small pressure vessels, and turn on the damping device to limit the vibration amplitude; For pressure vessels with red labels, immediately perform an automatic shutdown operation, stop the operation of the pressure vessels, close the relevant valves, start an emergency inspection process, immediately notify the management personnel, organize a professional team to conduct a detailed on-site inspection, start the monitoring system for the areas where stress rupture, fatigue failure or corrosion occur, monitor each key part for 24 hours, and reduce the data collection time interval for the pressure vessels to half of the preset time interval.

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